From 7ef8f6e58990fc069cccc71ed6564e8c639ea4fc Mon Sep 17 00:00:00 2001 From: Gertjan van den Burg Date: Thu, 12 Mar 2020 14:33:57 +0000 Subject: initial commit --- analysis/annotations/annotations.json | 932 + .../constants/sigtest_global_best_cover_uni.tex | 1 + .../constants/sigtest_global_best_f1_uni.tex | 1 + .../constants/sigtest_global_default_cover_uni.tex | 1 + .../constants/sigtest_global_default_f1_uni.tex | 1 + .../output/rankplots/rankplot_best_cover_uni.pdf | Bin 0 -> 25631 bytes .../output/rankplots/rankplot_best_cover_uni.tex | 261 + analysis/output/rankplots/rankplot_best_f1_uni.pdf | Bin 0 -> 25625 bytes analysis/output/rankplots/rankplot_best_f1_uni.tex | 261 + .../rankplots/rankplot_default_cover_uni.pdf | Bin 0 -> 25820 bytes .../rankplots/rankplot_default_cover_uni.tex | 278 + .../output/rankplots/rankplot_default_f1_uni.pdf | Bin 0 -> 25802 bytes .../output/rankplots/rankplot_default_f1_uni.tex | 278 + analysis/output/summaries/summary_apple.json | 24754 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| 21196 +++++++++ analysis/output/summaries/summary_homeruns.json | 21076 +++++++++ .../output/summaries/summary_iceland_tourism.json | 23813 ++++++++++ .../output/summaries/summary_jfk_passengers.json | 30950 +++++++++++++ .../output/summaries/summary_lga_passengers.json | 32269 +++++++++++++ analysis/output/summaries/summary_measles.json | 44757 +++++++++++++++++++ analysis/output/summaries/summary_nile.json | 21420 +++++++++ analysis/output/summaries/summary_occupancy.json | 20655 +++++++++ analysis/output/summaries/summary_ozone.json | 20058 +++++++++ .../summaries/summary_quality_control_1.json | 26440 +++++++++++ .../summaries/summary_quality_control_2.json | 27408 ++++++++++++ .../summaries/summary_quality_control_3.json | 29939 +++++++++++++ .../summaries/summary_quality_control_4.json | 32687 ++++++++++++++ .../summaries/summary_quality_control_5.json | 28775 ++++++++++++ analysis/output/summaries/summary_rail_lines.json | 19506 ++++++++ .../output/summaries/summary_ratner_stock.json | 31157 +++++++++++++ analysis/output/summaries/summary_robocalls.json | 19873 ++++++++ analysis/output/summaries/summary_run_log.json | 18965 ++++++++ .../output/summaries/summary_scanline_126007.json | 32345 ++++++++++++++ .../output/summaries/summary_scanline_42049.json | 27944 ++++++++++++ analysis/output/summaries/summary_seatbelts.json | 24097 ++++++++++ .../output/summaries/summary_shanghai_license.json | 23262 ++++++++++ .../output/summaries/summary_uk_coal_employ.json | 15924 +++++++ .../output/summaries/summary_unemployment_nl.json | 24663 ++++++++++ .../output/summaries/summary_us_population.json | 37988 ++++++++++++++++ analysis/output/summaries/summary_usd_isk.json | 24419 ++++++++++ analysis/output/summaries/summary_well_log.json | 36866 +++++++++++++++ analysis/output/tables/aggregate_table.tex | 29 + analysis/output/tables/aggregate_table_wide.tex | 20 + .../output/tables/best_cover_combined_full.tex | 48 + analysis/output/tables/best_cover_multi_avg.json | 6 + analysis/output/tables/best_cover_uni_avg.json | 14 + analysis/output/tables/best_cover_uni_full.json | 572 + analysis/output/tables/best_f1_combined_full.tex | 48 + analysis/output/tables/best_f1_multi_avg.json | 6 + analysis/output/tables/best_f1_uni_avg.json | 14 + analysis/output/tables/best_f1_uni_full.json | 572 + .../output/tables/default_cover_combined_full.tex | 48 + .../output/tables/default_cover_multi_avg.json | 7 + analysis/output/tables/default_cover_uni_avg.json | 15 + analysis/output/tables/default_cover_uni_full.json | 572 + .../output/tables/default_f1_combined_full.tex | 48 + analysis/output/tables/default_f1_multi_avg.json | 7 + analysis/output/tables/default_f1_uni_avg.json | 15 + analysis/output/tables/default_f1_uni_full.json | 572 + analysis/requirements.txt | 6 + analysis/scripts/aggregate_table_wide.py | 222 + analysis/scripts/latex.py | 140 + analysis/scripts/make_table.py | 441 + analysis/scripts/metrics.py | 129 + analysis/scripts/rank_common.py | 102 + analysis/scripts/rank_plots.py | 151 + analysis/scripts/significance.py | 179 + analysis/scripts/summarize.py | 178 + 82 files changed, 1087897 insertions(+) create mode 100644 analysis/annotations/annotations.json create mode 100644 analysis/output/constants/sigtest_global_best_cover_uni.tex create mode 100644 analysis/output/constants/sigtest_global_best_f1_uni.tex create mode 100644 analysis/output/constants/sigtest_global_default_cover_uni.tex create mode 100644 analysis/output/constants/sigtest_global_default_f1_uni.tex create mode 100644 analysis/output/rankplots/rankplot_best_cover_uni.pdf create mode 100644 analysis/output/rankplots/rankplot_best_cover_uni.tex create mode 100644 analysis/output/rankplots/rankplot_best_f1_uni.pdf create mode 100644 analysis/output/rankplots/rankplot_best_f1_uni.tex create mode 100644 analysis/output/rankplots/rankplot_default_cover_uni.pdf create mode 100644 analysis/output/rankplots/rankplot_default_cover_uni.tex create mode 100644 analysis/output/rankplots/rankplot_default_f1_uni.pdf create mode 100644 analysis/output/rankplots/rankplot_default_f1_uni.tex create mode 100644 analysis/output/summaries/summary_apple.json create mode 100644 analysis/output/summaries/summary_bank.json create mode 100644 analysis/output/summaries/summary_bee_waggle_6.json create mode 100644 analysis/output/summaries/summary_bitcoin.json create mode 100644 analysis/output/summaries/summary_brent_spot.json create mode 100644 analysis/output/summaries/summary_businv.json create mode 100644 analysis/output/summaries/summary_centralia.json create mode 100644 analysis/output/summaries/summary_children_per_woman.json create mode 100644 analysis/output/summaries/summary_co2_canada.json create mode 100644 analysis/output/summaries/summary_construction.json create mode 100644 analysis/output/summaries/summary_debt_ireland.json create mode 100644 analysis/output/summaries/summary_gdp_argentina.json create mode 100644 analysis/output/summaries/summary_gdp_croatia.json create mode 100644 analysis/output/summaries/summary_gdp_iran.json create mode 100644 analysis/output/summaries/summary_gdp_japan.json create mode 100644 analysis/output/summaries/summary_global_co2.json create mode 100644 analysis/output/summaries/summary_homeruns.json create mode 100644 analysis/output/summaries/summary_iceland_tourism.json create mode 100644 analysis/output/summaries/summary_jfk_passengers.json create mode 100644 analysis/output/summaries/summary_lga_passengers.json create mode 100644 analysis/output/summaries/summary_measles.json create mode 100644 analysis/output/summaries/summary_nile.json create mode 100644 analysis/output/summaries/summary_occupancy.json create mode 100644 analysis/output/summaries/summary_ozone.json create mode 100644 analysis/output/summaries/summary_quality_control_1.json create mode 100644 analysis/output/summaries/summary_quality_control_2.json create mode 100644 analysis/output/summaries/summary_quality_control_3.json create mode 100644 analysis/output/summaries/summary_quality_control_4.json create mode 100644 analysis/output/summaries/summary_quality_control_5.json create mode 100644 analysis/output/summaries/summary_rail_lines.json create mode 100644 analysis/output/summaries/summary_ratner_stock.json create mode 100644 analysis/output/summaries/summary_robocalls.json create mode 100644 analysis/output/summaries/summary_run_log.json create mode 100644 analysis/output/summaries/summary_scanline_126007.json create mode 100644 analysis/output/summaries/summary_scanline_42049.json create mode 100644 analysis/output/summaries/summary_seatbelts.json create mode 100644 analysis/output/summaries/summary_shanghai_license.json create mode 100644 analysis/output/summaries/summary_uk_coal_employ.json create mode 100644 analysis/output/summaries/summary_unemployment_nl.json create mode 100644 analysis/output/summaries/summary_us_population.json create mode 100644 analysis/output/summaries/summary_usd_isk.json create mode 100644 analysis/output/summaries/summary_well_log.json create mode 100644 analysis/output/tables/aggregate_table.tex create mode 100644 analysis/output/tables/aggregate_table_wide.tex create mode 100644 analysis/output/tables/best_cover_combined_full.tex create mode 100644 analysis/output/tables/best_cover_multi_avg.json create mode 100644 analysis/output/tables/best_cover_uni_avg.json create mode 100644 analysis/output/tables/best_cover_uni_full.json create mode 100644 analysis/output/tables/best_f1_combined_full.tex create mode 100644 analysis/output/tables/best_f1_multi_avg.json create mode 100644 analysis/output/tables/best_f1_uni_avg.json create mode 100644 analysis/output/tables/best_f1_uni_full.json create mode 100644 analysis/output/tables/default_cover_combined_full.tex create mode 100644 analysis/output/tables/default_cover_multi_avg.json create mode 100644 analysis/output/tables/default_cover_uni_avg.json create mode 100644 analysis/output/tables/default_cover_uni_full.json create mode 100644 analysis/output/tables/default_f1_combined_full.tex create mode 100644 analysis/output/tables/default_f1_multi_avg.json create mode 100644 analysis/output/tables/default_f1_uni_avg.json create mode 100644 analysis/output/tables/default_f1_uni_full.json create mode 100644 analysis/requirements.txt create mode 100644 analysis/scripts/aggregate_table_wide.py create mode 100644 analysis/scripts/latex.py create mode 100644 analysis/scripts/make_table.py create mode 100644 analysis/scripts/metrics.py create mode 100644 analysis/scripts/rank_common.py create mode 100644 analysis/scripts/rank_plots.py create mode 100644 analysis/scripts/significance.py create mode 100644 analysis/scripts/summarize.py (limited to 'analysis') diff --git a/analysis/annotations/annotations.json 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526, + 620, + 643, + 661 + ] + } +} diff --git a/analysis/output/constants/sigtest_global_best_cover_uni.tex b/analysis/output/constants/sigtest_global_best_cover_uni.tex new file mode 100644 index 00000000..16045bab --- /dev/null +++ b/analysis/output/constants/sigtest_global_best_cover_uni.tex @@ -0,0 +1 @@ +F = 31.7 (p = 1.11022e-16) \ No newline at end of file diff --git a/analysis/output/constants/sigtest_global_best_f1_uni.tex b/analysis/output/constants/sigtest_global_best_f1_uni.tex new file mode 100644 index 00000000..44ed749a --- /dev/null +++ b/analysis/output/constants/sigtest_global_best_f1_uni.tex @@ -0,0 +1 @@ +F = 39.2 (p = 1.11022e-16) \ No newline at end of file diff --git a/analysis/output/constants/sigtest_global_default_cover_uni.tex b/analysis/output/constants/sigtest_global_default_cover_uni.tex new file mode 100644 index 00000000..c0b10428 --- /dev/null +++ b/analysis/output/constants/sigtest_global_default_cover_uni.tex @@ -0,0 +1 @@ +F = 37.7 (p = 1.11022e-16) \ No newline at end of file diff --git a/analysis/output/constants/sigtest_global_default_f1_uni.tex b/analysis/output/constants/sigtest_global_default_f1_uni.tex new file mode 100644 index 00000000..9d7f1809 --- /dev/null +++ b/analysis/output/constants/sigtest_global_default_f1_uni.tex @@ -0,0 +1 @@ +F = 38.6 (p = 1.11022e-16) \ No newline at end of file diff --git a/analysis/output/rankplots/rankplot_best_cover_uni.pdf b/analysis/output/rankplots/rankplot_best_cover_uni.pdf new file mode 100644 index 00000000..83da3a9f Binary files /dev/null and b/analysis/output/rankplots/rankplot_best_cover_uni.pdf differ diff --git a/analysis/output/rankplots/rankplot_best_cover_uni.tex b/analysis/output/rankplots/rankplot_best_cover_uni.tex new file mode 100644 index 00000000..5fb3cebf --- /dev/null +++ b/analysis/output/rankplots/rankplot_best_cover_uni.tex @@ -0,0 +1,261 @@ +\documentclass[border={0.000000bp 0.000000bp 0.000000bp 0.000000bp}, 11pt]{standalone} +\pdfinfoomitdate=1 +\pdftrailerid{} +\pdfsuppressptexinfo=1 +\pdfinfo{ /Creator () /Producer () } + +\usepackage{tikz} +\usepackage{xcolor} +\usetikzlibrary{shapes.misc} +\usetikzlibrary{backgrounds} + +\definecolor{dotColorA}{HTML}{000000} +\definecolor{dotColorB}{HTML}{000000} +\definecolor{dotColorC}{HTML}{000000} +\definecolor{dotColorD}{HTML}{000000} +\definecolor{dotColorE}{HTML}{000000} +\definecolor{dotColorF}{HTML}{000000} +\definecolor{dotColorG}{HTML}{000000} +\definecolor{dotColorH}{HTML}{000000} +\definecolor{dotColorI}{HTML}{000000} +\definecolor{dotColorJ}{HTML}{000000} +\definecolor{dotColorK}{HTML}{000000} +\definecolor{dotColorL}{HTML}{000000} + +\definecolor{labelBgColorA}{HTML}{FFFFFF} +\definecolor{labelBgColorB}{HTML}{FFFFFF} +\definecolor{labelBgColorC}{HTML}{FFFFFF} +\definecolor{labelBgColorD}{HTML}{FFFFFF} +\definecolor{labelBgColorE}{HTML}{FFFFFF} +\definecolor{labelBgColorF}{HTML}{FFFFFF} +\definecolor{labelBgColorG}{HTML}{FFFFFF} +\definecolor{labelBgColorH}{HTML}{FFFFFF} +\definecolor{labelBgColorI}{HTML}{FFFFFF} +\definecolor{labelBgColorJ}{HTML}{FFFFFF} +\definecolor{labelBgColorK}{HTML}{FFFFFF} +\definecolor{labelBgColorL}{HTML}{FFFFFF} + +\definecolor{labelTextColorA}{HTML}{000000} +\definecolor{labelTextColorB}{HTML}{000000} +\definecolor{labelTextColorC}{HTML}{000000} +\definecolor{labelTextColorD}{HTML}{000000} +\definecolor{labelTextColorE}{HTML}{000000} +\definecolor{labelTextColorF}{HTML}{000000} +\definecolor{labelTextColorG}{HTML}{000000} +\definecolor{labelTextColorH}{HTML}{000000} +\definecolor{labelTextColorI}{HTML}{000000} +\definecolor{labelTextColorJ}{HTML}{000000} +\definecolor{labelTextColorK}{HTML}{000000} +\definecolor{labelTextColorL}{HTML}{000000} + +\definecolor{linkColorA}{HTML}{000000} +\definecolor{linkColorB}{HTML}{000000} +\definecolor{linkColorC}{HTML}{000000} +\definecolor{linkColorD}{HTML}{000000} +\definecolor{linkColorE}{HTML}{000000} +\definecolor{linkColorF}{HTML}{000000} +\definecolor{linkColorG}{HTML}{000000} +\definecolor{linkColorH}{HTML}{000000} +\definecolor{linkColorI}{HTML}{000000} +\definecolor{linkColorJ}{HTML}{000000} +\definecolor{linkColorK}{HTML}{000000} +\definecolor{linkColorL}{HTML}{000000} + +\def\textA{\textsc{amoc}} +\def\textB{\textsc{binseg}} +\def\textC{\textsc{bocpd}} +\def\textD{\textsc{bocpdms}} +\def\textE{\textsc{cpnp}} +\def\textF{\textsc{ecp}} +\def\textG{\textsc{kcpa}} +\def\textH{\textsc{pelt}} +\def\textI{\textsc{prophet}} +\def\textJ{\textsc{rfpop}} +\def\textK{\textsc{segneigh}} +\def\textL{\textsc{wbs}} + +\begin{document} +\begin{tikzpicture}[x=1bp,y=-1bp] + +% shift for the margin +\begin{scope}[shift={(0, 0)}] +% main layer +\begin{scope}[shift={(0, 75)}] +% axis +\begin{scope} +\draw[very thick] (0, 0) -- (600, 0); +\end{scope} + +% axis layer +\begin{scope} +\begin{scope}[shift={(0, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {1}; +\end{scope} +\begin{scope}[shift={(54, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {2}; +\end{scope} +\begin{scope}[shift={(109, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {3}; +\end{scope} +\begin{scope}[shift={(163, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {4}; +\end{scope} +\begin{scope}[shift={(218, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {5}; +\end{scope} +\begin{scope}[shift={(272, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {6}; +\end{scope} +\begin{scope}[shift={(327, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {7}; +\end{scope} +\begin{scope}[shift={(381, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {8}; +\end{scope} +\begin{scope}[shift={(436, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {9}; +\end{scope} +\begin{scope}[shift={(490, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {10}; +\end{scope} +\begin{scope}[shift={(545, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {11}; +\end{scope} +\begin{scope}[shift={(600, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {12}; +\end{scope} +\end{scope} + +% link layer +\begin{scope} +\draw[color=linkColorA, thin] (196.8058968058968, 0) .. controls +(196.8058968058968, -10.0) and (204.0, -10.0) .. (204.0, -20.0); +\draw[color=linkColorB, thin] (189.4348894348894, 0) .. controls +(189.4348894348894, -10.0) and (161.0, -10.0) .. (161.0, -20.0); +\draw[color=linkColorC, thin] (121.62162162162163, 0) .. controls +(121.62162162162163, -10.0) and (56.0, -10.0) .. (56.0, -20.0); +\draw[color=linkColorD, thin] (305.1597051597052, 0) .. controls +(305.1597051597052, -10.0) and (318.0, -10.0) .. (318.0, -20.0); +\draw[color=linkColorE, thin] (397.2972972972973, 0) .. controls +(397.2972972972973, -10.0) and (402.0, -10.0) .. (402.0, -20.0); +\draw[color=linkColorF, thin] (204.91400491400495, 0) .. controls +(204.91400491400495, -10.0) and (239.0, -10.0) .. (239.0, -20.0); +\draw[color=linkColorG, thin] (347.17444717444715, 0) .. controls +(347.17444717444715, -10.0) and (365.0, -10.0) .. (365.0, -20.0); +\draw[color=linkColorH, thin] (233.66093366093367, 0) .. controls +(233.66093366093367, -10.0) and (272.0, -10.0) .. (272.0, -20.0); +\draw[color=linkColorI, thin] (403.1941031941032, 0) .. controls +(403.1941031941032, -10.0) and (448.0, -10.0) .. (448.0, -20.0); +\draw[color=linkColorJ, thin] (523.3415233415234, 0) .. controls +(523.3415233415234, -10.0) and (533.0, -10.0) .. (533.0, -20.0); +\draw[color=linkColorK, thin] (171.74447174447172, 0) .. controls +(171.74447174447172, -10.0) and (108.0, -10.0) .. (108.0, -20.0); +\draw[color=linkColorL, thin] (505.6511056511057, 0) .. controls +(505.6511056511057, -10.0) and (496.0, -10.0) .. (496.0, -20.0); +\end{scope} + +% label layer +\begin{scope} +\begin{scope}[shift={(185, -34)}] +\fill[color=labelBgColorA, rounded corners=2pt] +(0, 0) rectangle (37, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorA] {\strut \textA}; +\end{scope} +\begin{scope}[shift={(139, -34)}] +\fill[color=labelBgColorB, rounded corners=2pt] +(0, 0) rectangle (43, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorB] {\strut \textB}; +\end{scope} +\begin{scope}[shift={(35, -34)}] +\fill[color=labelBgColorC, rounded corners=2pt] +(0, 0) rectangle (41, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorC] {\strut \textC}; +\end{scope} +\begin{scope}[shift={(291, -34)}] +\fill[color=labelBgColorD, rounded corners=2pt] +(0, 0) rectangle (54, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorD] {\strut \textD}; +\end{scope} +\begin{scope}[shift={(385, -34)}] +\fill[color=labelBgColorE, rounded corners=2pt] +(0, 0) rectangle (34, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorE] {\strut \textE}; +\end{scope} +\begin{scope}[shift={(225, -34)}] +\fill[color=labelBgColorF, rounded corners=2pt] +(0, 0) rectangle (27, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorF] {\strut \textF}; +\end{scope} +\begin{scope}[shift={(348, -34)}] +\fill[color=labelBgColorG, rounded corners=2pt] +(0, 0) rectangle (34, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorG] {\strut \textG}; +\end{scope} +\begin{scope}[shift={(256, -34)}] +\fill[color=labelBgColorH, rounded corners=2pt] +(0, 0) rectangle (32, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorH] {\strut \textH}; +\end{scope} +\begin{scope}[shift={(421, -34)}] +\fill[color=labelBgColorI, rounded corners=2pt] +(0, 0) rectangle (53, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorI] {\strut \textI}; +\end{scope} +\begin{scope}[shift={(513, -34)}] +\fill[color=labelBgColorJ, rounded corners=2pt] +(0, 0) rectangle (40, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorJ] {\strut \textJ}; +\end{scope} +\begin{scope}[shift={(79, -34)}] +\fill[color=labelBgColorK, rounded corners=2pt] +(0, 0) rectangle (57, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorK] {\strut \textK}; +\end{scope} +\begin{scope}[shift={(481, -34)}] +\fill[color=labelBgColorL, rounded corners=2pt] +(0, 0) rectangle (29, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorL] {\strut \textL}; +\end{scope} +\end{scope} + +% dots +\begin{scope} +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorA] at (196.805897, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorB] at (189.434889, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorC] at (121.621622, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorD] at (305.159705, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorE] at (397.297297, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorF] at (204.914005, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorG] at (347.174447, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorH] at (233.660934, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorI] at (403.194103, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorJ] at (523.341523, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorK] at (171.744472, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorL] at (505.651106, 0) {}; +\end{scope} + +% Critical difference +\def\posBest{121.6216216216216282} +\def\posCD{224.1075579550507086} +\begin{scope} +\draw (\posBest, 30) -- (\posBest, 20); +\draw (\posBest, 25) --node[below] {CD} (\posCD, 25); +\draw (\posCD, 30) -- (\posCD, 20); +\end{scope} + +\end{scope} +\end{scope} +\end{tikzpicture} +\end{document} \ No newline at end of file diff --git a/analysis/output/rankplots/rankplot_best_f1_uni.pdf b/analysis/output/rankplots/rankplot_best_f1_uni.pdf new file mode 100644 index 00000000..9aadbc47 Binary files /dev/null and b/analysis/output/rankplots/rankplot_best_f1_uni.pdf differ diff --git a/analysis/output/rankplots/rankplot_best_f1_uni.tex b/analysis/output/rankplots/rankplot_best_f1_uni.tex new file mode 100644 index 00000000..1c8eb7cf --- /dev/null +++ b/analysis/output/rankplots/rankplot_best_f1_uni.tex @@ -0,0 +1,261 @@ +\documentclass[border={0.000000bp 0.000000bp 0.000000bp 0.000000bp}, 11pt]{standalone} +\pdfinfoomitdate=1 +\pdftrailerid{} +\pdfsuppressptexinfo=1 +\pdfinfo{ /Creator () /Producer () } + +\usepackage{tikz} +\usepackage{xcolor} +\usetikzlibrary{shapes.misc} +\usetikzlibrary{backgrounds} + +\definecolor{dotColorA}{HTML}{000000} +\definecolor{dotColorB}{HTML}{000000} +\definecolor{dotColorC}{HTML}{000000} +\definecolor{dotColorD}{HTML}{000000} +\definecolor{dotColorE}{HTML}{000000} +\definecolor{dotColorF}{HTML}{000000} +\definecolor{dotColorG}{HTML}{000000} +\definecolor{dotColorH}{HTML}{000000} +\definecolor{dotColorI}{HTML}{000000} +\definecolor{dotColorJ}{HTML}{000000} +\definecolor{dotColorK}{HTML}{000000} +\definecolor{dotColorL}{HTML}{000000} + +\definecolor{labelBgColorA}{HTML}{FFFFFF} +\definecolor{labelBgColorB}{HTML}{FFFFFF} +\definecolor{labelBgColorC}{HTML}{FFFFFF} +\definecolor{labelBgColorD}{HTML}{FFFFFF} +\definecolor{labelBgColorE}{HTML}{FFFFFF} +\definecolor{labelBgColorF}{HTML}{FFFFFF} +\definecolor{labelBgColorG}{HTML}{FFFFFF} +\definecolor{labelBgColorH}{HTML}{FFFFFF} +\definecolor{labelBgColorI}{HTML}{FFFFFF} +\definecolor{labelBgColorJ}{HTML}{FFFFFF} +\definecolor{labelBgColorK}{HTML}{FFFFFF} +\definecolor{labelBgColorL}{HTML}{FFFFFF} + +\definecolor{labelTextColorA}{HTML}{000000} +\definecolor{labelTextColorB}{HTML}{000000} +\definecolor{labelTextColorC}{HTML}{000000} +\definecolor{labelTextColorD}{HTML}{000000} +\definecolor{labelTextColorE}{HTML}{000000} +\definecolor{labelTextColorF}{HTML}{000000} +\definecolor{labelTextColorG}{HTML}{000000} +\definecolor{labelTextColorH}{HTML}{000000} +\definecolor{labelTextColorI}{HTML}{000000} +\definecolor{labelTextColorJ}{HTML}{000000} +\definecolor{labelTextColorK}{HTML}{000000} +\definecolor{labelTextColorL}{HTML}{000000} + +\definecolor{linkColorA}{HTML}{000000} +\definecolor{linkColorB}{HTML}{000000} +\definecolor{linkColorC}{HTML}{000000} +\definecolor{linkColorD}{HTML}{000000} +\definecolor{linkColorE}{HTML}{000000} +\definecolor{linkColorF}{HTML}{000000} +\definecolor{linkColorG}{HTML}{000000} +\definecolor{linkColorH}{HTML}{000000} +\definecolor{linkColorI}{HTML}{000000} +\definecolor{linkColorJ}{HTML}{000000} +\definecolor{linkColorK}{HTML}{000000} +\definecolor{linkColorL}{HTML}{000000} + +\def\textA{\textsc{amoc}} +\def\textB{\textsc{binseg}} +\def\textC{\textsc{bocpd}} +\def\textD{\textsc{bocpdms}} +\def\textE{\textsc{cpnp}} +\def\textF{\textsc{ecp}} +\def\textG{\textsc{kcpa}} +\def\textH{\textsc{pelt}} +\def\textI{\textsc{prophet}} +\def\textJ{\textsc{rfpop}} +\def\textK{\textsc{segneigh}} +\def\textL{\textsc{wbs}} + +\begin{document} +\begin{tikzpicture}[x=1bp,y=-1bp] + +% shift for the margin +\begin{scope}[shift={(0, 0)}] +% main layer +\begin{scope}[shift={(0, 75)}] +% axis +\begin{scope} +\draw[very thick] (0, 0) -- (600, 0); +\end{scope} + +% axis layer +\begin{scope} +\begin{scope}[shift={(0, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {1}; +\end{scope} +\begin{scope}[shift={(54, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {2}; +\end{scope} +\begin{scope}[shift={(109, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {3}; +\end{scope} +\begin{scope}[shift={(163, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {4}; +\end{scope} +\begin{scope}[shift={(218, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {5}; +\end{scope} +\begin{scope}[shift={(272, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {6}; +\end{scope} +\begin{scope}[shift={(327, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {7}; +\end{scope} +\begin{scope}[shift={(381, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {8}; +\end{scope} +\begin{scope}[shift={(436, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {9}; +\end{scope} +\begin{scope}[shift={(490, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {10}; +\end{scope} +\begin{scope}[shift={(545, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {11}; +\end{scope} +\begin{scope}[shift={(600, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {12}; +\end{scope} +\end{scope} + +% link layer +\begin{scope} +\draw[color=linkColorA, thin] (176.16707616707617, 0) .. controls +(176.16707616707617, -10.0) and (204.0, -10.0) .. (204.0, -20.0); +\draw[color=linkColorB, thin] (153.31695331695332, 0) .. controls +(153.31695331695332, -10.0) and (161.0, -10.0) .. (161.0, -20.0); +\draw[color=linkColorC, thin] (112.03931203931204, 0) .. controls +(112.03931203931204, -10.0) and (56.0, -10.0) .. (56.0, -20.0); +\draw[color=linkColorD, thin] (402.4570024570025, 0) .. controls +(402.4570024570025, -10.0) and (399.0, -10.0) .. (399.0, -20.0); +\draw[color=linkColorE, thin] (367.07616707616705, 0) .. controls +(367.07616707616705, -10.0) and (352.0, -10.0) .. (352.0, -20.0); +\draw[color=linkColorF, thin] (216.7076167076167, 0) .. controls +(216.7076167076167, -10.0) and (239.0, -10.0) .. (239.0, -20.0); +\draw[color=linkColorG, thin] (362.65356265356263, 0) .. controls +(362.65356265356263, -10.0) and (315.0, -10.0) .. (315.0, -20.0); +\draw[color=linkColorH, thin] (233.66093366093367, 0) .. controls +(233.66093366093367, -10.0) and (272.0, -10.0) .. (272.0, -20.0); +\draw[color=linkColorI, thin] (428.99262899262897, 0) .. controls +(428.99262899262897, -10.0) and (456.0, -10.0) .. (456.0, -20.0); +\draw[color=linkColorJ, thin] (507.1253071253071, 0) .. controls +(507.1253071253071, -10.0) and (537.0, -10.0) .. (537.0, -20.0); +\draw[color=linkColorK, thin] (148.15724815724815, 0) .. controls +(148.15724815724815, -10.0) and (108.0, -10.0) .. (108.0, -20.0); +\draw[color=linkColorL, thin] (491.6461916461917, 0) .. controls +(491.6461916461917, -10.0) and (500.0, -10.0) .. (500.0, -20.0); +\end{scope} + +% label layer +\begin{scope} +\begin{scope}[shift={(185, -34)}] +\fill[color=labelBgColorA, rounded corners=2pt] +(0, 0) rectangle (37, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorA] {\strut \textA}; +\end{scope} +\begin{scope}[shift={(139, -34)}] +\fill[color=labelBgColorB, rounded corners=2pt] +(0, 0) rectangle (43, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorB] {\strut \textB}; +\end{scope} +\begin{scope}[shift={(35, -34)}] +\fill[color=labelBgColorC, rounded corners=2pt] +(0, 0) rectangle (41, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorC] {\strut \textC}; +\end{scope} +\begin{scope}[shift={(372, -34)}] +\fill[color=labelBgColorD, rounded corners=2pt] +(0, 0) rectangle (54, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorD] {\strut \textD}; +\end{scope} +\begin{scope}[shift={(335, -34)}] +\fill[color=labelBgColorE, rounded corners=2pt] +(0, 0) rectangle (34, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorE] {\strut \textE}; +\end{scope} +\begin{scope}[shift={(225, -34)}] +\fill[color=labelBgColorF, rounded corners=2pt] +(0, 0) rectangle (27, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorF] {\strut \textF}; +\end{scope} +\begin{scope}[shift={(298, -34)}] +\fill[color=labelBgColorG, rounded corners=2pt] +(0, 0) rectangle (34, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorG] {\strut \textG}; +\end{scope} +\begin{scope}[shift={(256, -34)}] +\fill[color=labelBgColorH, rounded corners=2pt] +(0, 0) rectangle (32, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorH] {\strut \textH}; +\end{scope} +\begin{scope}[shift={(429, -34)}] +\fill[color=labelBgColorI, rounded corners=2pt] +(0, 0) rectangle (53, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorI] {\strut \textI}; +\end{scope} +\begin{scope}[shift={(517, -34)}] +\fill[color=labelBgColorJ, rounded corners=2pt] +(0, 0) rectangle (40, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorJ] {\strut \textJ}; +\end{scope} +\begin{scope}[shift={(79, -34)}] +\fill[color=labelBgColorK, rounded corners=2pt] +(0, 0) rectangle (57, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorK] {\strut \textK}; +\end{scope} +\begin{scope}[shift={(485, -34)}] +\fill[color=labelBgColorL, rounded corners=2pt] +(0, 0) rectangle (29, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorL] {\strut \textL}; +\end{scope} +\end{scope} + +% dots +\begin{scope} +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorA] at (176.167076, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorB] at (153.316953, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorC] at (112.039312, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorD] at (402.457002, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorE] at (367.076167, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorF] at (216.707617, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorG] at (362.653563, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorH] at (233.660934, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorI] at (428.992629, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorJ] at (507.125307, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorK] at (148.157248, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorL] at (491.646192, 0) {}; +\end{scope} + +% Critical difference +\def\posBest{112.0393120393120370} +\def\posCD{209.3420884209508870} +\begin{scope} +\draw (\posBest, 30) -- (\posBest, 20); +\draw (\posBest, 25) --node[below] {CD} (\posCD, 25); +\draw (\posCD, 30) -- (\posCD, 20); +\end{scope} + +\end{scope} +\end{scope} +\end{tikzpicture} +\end{document} \ No newline at end of file diff --git a/analysis/output/rankplots/rankplot_default_cover_uni.pdf b/analysis/output/rankplots/rankplot_default_cover_uni.pdf new file mode 100644 index 00000000..18469d27 Binary files /dev/null and b/analysis/output/rankplots/rankplot_default_cover_uni.pdf differ diff --git a/analysis/output/rankplots/rankplot_default_cover_uni.tex b/analysis/output/rankplots/rankplot_default_cover_uni.tex new file mode 100644 index 00000000..deed9a43 --- /dev/null +++ b/analysis/output/rankplots/rankplot_default_cover_uni.tex @@ -0,0 +1,278 @@ +\documentclass[border={0.000000bp 0.000000bp 0.000000bp 0.000000bp}, 11pt]{standalone} +\pdfinfoomitdate=1 +\pdftrailerid{} +\pdfsuppressptexinfo=1 +\pdfinfo{ /Creator () /Producer () } + +\usepackage{tikz} +\usepackage{xcolor} +\usetikzlibrary{shapes.misc} +\usetikzlibrary{backgrounds} + +\definecolor{dotColorA}{HTML}{000000} +\definecolor{dotColorB}{HTML}{000000} +\definecolor{dotColorC}{HTML}{000000} +\definecolor{dotColorD}{HTML}{000000} +\definecolor{dotColorE}{HTML}{000000} +\definecolor{dotColorF}{HTML}{000000} +\definecolor{dotColorG}{HTML}{000000} +\definecolor{dotColorH}{HTML}{000000} +\definecolor{dotColorI}{HTML}{000000} +\definecolor{dotColorJ}{HTML}{000000} +\definecolor{dotColorK}{HTML}{000000} +\definecolor{dotColorL}{HTML}{000000} +\definecolor{dotColorM}{HTML}{000000} + +\definecolor{labelBgColorA}{HTML}{FFFFFF} +\definecolor{labelBgColorB}{HTML}{FFFFFF} +\definecolor{labelBgColorC}{HTML}{FFFFFF} +\definecolor{labelBgColorD}{HTML}{FFFFFF} +\definecolor{labelBgColorE}{HTML}{FFFFFF} +\definecolor{labelBgColorF}{HTML}{FFFFFF} +\definecolor{labelBgColorG}{HTML}{FFFFFF} +\definecolor{labelBgColorH}{HTML}{FFFFFF} +\definecolor{labelBgColorI}{HTML}{FFFFFF} +\definecolor{labelBgColorJ}{HTML}{FFFFFF} +\definecolor{labelBgColorK}{HTML}{FFFFFF} +\definecolor{labelBgColorL}{HTML}{FFFFFF} +\definecolor{labelBgColorM}{HTML}{FFFFFF} + +\definecolor{labelTextColorA}{HTML}{000000} +\definecolor{labelTextColorB}{HTML}{000000} +\definecolor{labelTextColorC}{HTML}{000000} +\definecolor{labelTextColorD}{HTML}{000000} +\definecolor{labelTextColorE}{HTML}{000000} +\definecolor{labelTextColorF}{HTML}{000000} +\definecolor{labelTextColorG}{HTML}{000000} +\definecolor{labelTextColorH}{HTML}{000000} +\definecolor{labelTextColorI}{HTML}{000000} +\definecolor{labelTextColorJ}{HTML}{000000} +\definecolor{labelTextColorK}{HTML}{000000} +\definecolor{labelTextColorL}{HTML}{000000} +\definecolor{labelTextColorM}{HTML}{000000} + +\definecolor{linkColorA}{HTML}{000000} +\definecolor{linkColorB}{HTML}{000000} +\definecolor{linkColorC}{HTML}{000000} +\definecolor{linkColorD}{HTML}{000000} +\definecolor{linkColorE}{HTML}{000000} +\definecolor{linkColorF}{HTML}{000000} +\definecolor{linkColorG}{HTML}{000000} +\definecolor{linkColorH}{HTML}{000000} +\definecolor{linkColorI}{HTML}{000000} +\definecolor{linkColorJ}{HTML}{000000} +\definecolor{linkColorK}{HTML}{000000} +\definecolor{linkColorL}{HTML}{000000} +\definecolor{linkColorM}{HTML}{000000} + +\def\textA{\textsc{amoc}} +\def\textB{\textsc{binseg}} +\def\textC{\textsc{bocpd}} +\def\textD{\textsc{bocpdms}} +\def\textE{\textsc{cpnp}} +\def\textF{\textsc{ecp}} +\def\textG{\textsc{kcpa}} +\def\textH{\textsc{pelt}} +\def\textI{\textsc{prophet}} +\def\textJ{\textsc{rbocpdms}} +\def\textK{\textsc{rfpop}} +\def\textL{\textsc{segneigh}} +\def\textM{\textsc{wbs}} + +\begin{document} +\begin{tikzpicture}[x=1bp,y=-1bp] + +% shift for the margin +\begin{scope}[shift={(0, 0)}] +% main layer +\begin{scope}[shift={(0, 75)}] +% axis +\begin{scope} +\draw[very thick] (0, 0) -- (600, 0); +\end{scope} + +% axis layer +\begin{scope} +\begin{scope}[shift={(0, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {1}; +\end{scope} +\begin{scope}[shift={(50, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {2}; +\end{scope} +\begin{scope}[shift={(100, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {3}; +\end{scope} +\begin{scope}[shift={(150, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {4}; +\end{scope} +\begin{scope}[shift={(200, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {5}; +\end{scope} +\begin{scope}[shift={(250, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {6}; +\end{scope} +\begin{scope}[shift={(300, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {7}; +\end{scope} +\begin{scope}[shift={(350, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {8}; +\end{scope} +\begin{scope}[shift={(400, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {9}; +\end{scope} +\begin{scope}[shift={(450, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {10}; +\end{scope} +\begin{scope}[shift={(500, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {11}; +\end{scope} +\begin{scope}[shift={(550, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {12}; +\end{scope} +\begin{scope}[shift={(600, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {13}; +\end{scope} +\end{scope} + +% link layer +\begin{scope} +\draw[color=linkColorA, thin] (176.42857142857144, 0) .. controls +(176.42857142857144, -10.0) and (99.0, -10.0) .. (99.0, -20.0); +\draw[color=linkColorB, thin] (155.7142857142857, 0) .. controls +(155.7142857142857, -10.0) and (21.0, -10.0) .. (21.0, -20.0); +\draw[color=linkColorC, thin] (221.42857142857144, 0) .. controls +(221.42857142857144, -10.0) and (201.0, -10.0) .. (201.0, -20.0); +\draw[color=linkColorD, thin] (260.0, 0) .. controls +(260.0, -10.0) and (252.0, -10.0) .. (252.0, -20.0); +\draw[color=linkColorE, thin] (334.2857142857143, 0) .. controls +(334.2857142857143, -10.0) and (449.0, -10.0) .. (449.0, -20.0); +\draw[color=linkColorF, thin] (319.2857142857143, 0) .. controls +(319.2857142857143, -10.0) and (415.0, -10.0) .. (415.0, -20.0); +\draw[color=linkColorG, thin] (595.0, 0) .. controls +(595.0, -10.0) and (595.0, -10.0) .. (595.0, -20.0); +\draw[color=linkColorH, thin] (162.14285714285714, 0) .. controls +(162.14285714285714, -10.0) and (62.0, -10.0) .. (62.0, -20.0); +\draw[color=linkColorI, thin] (315.0, 0) .. controls +(315.0, -10.0) and (372.0, -10.0) .. (372.0, -20.0); +\draw[color=linkColorJ, thin] (281.42857142857144, 0) .. controls +(281.42857142857144, -10.0) and (312.0, -10.0) .. (312.0, -20.0); +\draw[color=linkColorK, thin] (447.14285714285717, 0) .. controls +(447.14285714285717, -10.0) and (489.0, -10.0) .. (489.0, -20.0); +\draw[color=linkColorL, thin] (180.7142857142857, 0) .. controls +(180.7142857142857, -10.0) and (149.0, -10.0) .. (149.0, -20.0); +\draw[color=linkColorM, thin] (451.42857142857144, 0) .. controls +(451.42857142857144, -10.0) and (526.0, -10.0) .. (526.0, -20.0); +\end{scope} + +% label layer +\begin{scope} +\begin{scope}[shift={(80, -34)}] +\fill[color=labelBgColorA, rounded corners=2pt] +(0, 0) rectangle (37, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorA] {\strut \textA}; +\end{scope} +\begin{scope}[shift={(0, -34)}] +\fill[color=labelBgColorB, rounded corners=2pt] +(0, 0) rectangle (43, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorB] {\strut \textB}; +\end{scope} +\begin{scope}[shift={(180, -34)}] +\fill[color=labelBgColorC, rounded corners=2pt] +(0, 0) rectangle (41, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorC] {\strut \textC}; +\end{scope} +\begin{scope}[shift={(225, -34)}] +\fill[color=labelBgColorD, rounded corners=2pt] +(0, 0) rectangle (54, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorD] {\strut \textD}; +\end{scope} +\begin{scope}[shift={(432, -34)}] +\fill[color=labelBgColorE, rounded corners=2pt] +(0, 0) rectangle (34, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorE] {\strut \textE}; +\end{scope} +\begin{scope}[shift={(401, -34)}] +\fill[color=labelBgColorF, rounded corners=2pt] +(0, 0) rectangle (27, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorF] {\strut \textF}; +\end{scope} +\begin{scope}[shift={(578, -34)}] +\fill[color=labelBgColorG, rounded corners=2pt] +(0, 0) rectangle (34, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorG] {\strut \textG}; +\end{scope} +\begin{scope}[shift={(46, -34)}] +\fill[color=labelBgColorH, rounded corners=2pt] +(0, 0) rectangle (32, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorH] {\strut \textH}; +\end{scope} +\begin{scope}[shift={(345, -34)}] +\fill[color=labelBgColorI, rounded corners=2pt] +(0, 0) rectangle (53, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorI] {\strut \textI}; +\end{scope} +\begin{scope}[shift={(281, -34)}] +\fill[color=labelBgColorJ, rounded corners=2pt] +(0, 0) rectangle (61, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorJ] {\strut \textJ}; +\end{scope} +\begin{scope}[shift={(469, -34)}] +\fill[color=labelBgColorK, rounded corners=2pt] +(0, 0) rectangle (40, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorK] {\strut \textK}; +\end{scope} +\begin{scope}[shift={(120, -34)}] +\fill[color=labelBgColorL, rounded corners=2pt] +(0, 0) rectangle (57, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorL] {\strut \textL}; +\end{scope} +\begin{scope}[shift={(511, -34)}] +\fill[color=labelBgColorM, rounded corners=2pt] +(0, 0) rectangle (29, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorM] {\strut \textM}; +\end{scope} +\end{scope} + +% dots +\begin{scope} +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorA] at (176.428571, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorB] at (155.714286, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorC] at (221.428571, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorD] at (260.000000, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorE] at (334.285714, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorF] at (319.285714, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorG] at (595.000000, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorH] at (162.142857, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorI] at (315.000000, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorJ] at (281.428571, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorK] at (447.142857, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorL] at (180.714286, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorM] at (451.428571, 0) {}; +\end{scope} + +% Critical difference +\def\posBest{155.7142857142856940} +\def\posCD{263.9998861756785118} +\begin{scope} +\draw (\posBest, 30) -- (\posBest, 20); +\draw (\posBest, 25) --node[below] {CD} (\posCD, 25); +\draw (\posCD, 30) -- (\posCD, 20); +\end{scope} + +\end{scope} +\end{scope} +\end{tikzpicture} +\end{document} \ No newline at end of file diff --git a/analysis/output/rankplots/rankplot_default_f1_uni.pdf b/analysis/output/rankplots/rankplot_default_f1_uni.pdf new file mode 100644 index 00000000..3a1918a8 Binary files /dev/null and b/analysis/output/rankplots/rankplot_default_f1_uni.pdf differ diff --git a/analysis/output/rankplots/rankplot_default_f1_uni.tex b/analysis/output/rankplots/rankplot_default_f1_uni.tex new file mode 100644 index 00000000..4776265b --- /dev/null +++ b/analysis/output/rankplots/rankplot_default_f1_uni.tex @@ -0,0 +1,278 @@ +\documentclass[border={0.000000bp 0.000000bp 0.000000bp 0.000000bp}, 11pt]{standalone} +\pdfinfoomitdate=1 +\pdftrailerid{} +\pdfsuppressptexinfo=1 +\pdfinfo{ /Creator () /Producer () } + +\usepackage{tikz} +\usepackage{xcolor} +\usetikzlibrary{shapes.misc} +\usetikzlibrary{backgrounds} + +\definecolor{dotColorA}{HTML}{000000} +\definecolor{dotColorB}{HTML}{000000} +\definecolor{dotColorC}{HTML}{000000} +\definecolor{dotColorD}{HTML}{000000} +\definecolor{dotColorE}{HTML}{000000} +\definecolor{dotColorF}{HTML}{000000} +\definecolor{dotColorG}{HTML}{000000} +\definecolor{dotColorH}{HTML}{000000} +\definecolor{dotColorI}{HTML}{000000} +\definecolor{dotColorJ}{HTML}{000000} +\definecolor{dotColorK}{HTML}{000000} +\definecolor{dotColorL}{HTML}{000000} +\definecolor{dotColorM}{HTML}{000000} + +\definecolor{labelBgColorA}{HTML}{FFFFFF} +\definecolor{labelBgColorB}{HTML}{FFFFFF} +\definecolor{labelBgColorC}{HTML}{FFFFFF} +\definecolor{labelBgColorD}{HTML}{FFFFFF} +\definecolor{labelBgColorE}{HTML}{FFFFFF} +\definecolor{labelBgColorF}{HTML}{FFFFFF} +\definecolor{labelBgColorG}{HTML}{FFFFFF} +\definecolor{labelBgColorH}{HTML}{FFFFFF} +\definecolor{labelBgColorI}{HTML}{FFFFFF} +\definecolor{labelBgColorJ}{HTML}{FFFFFF} +\definecolor{labelBgColorK}{HTML}{FFFFFF} +\definecolor{labelBgColorL}{HTML}{FFFFFF} +\definecolor{labelBgColorM}{HTML}{FFFFFF} + +\definecolor{labelTextColorA}{HTML}{000000} +\definecolor{labelTextColorB}{HTML}{000000} +\definecolor{labelTextColorC}{HTML}{000000} +\definecolor{labelTextColorD}{HTML}{000000} +\definecolor{labelTextColorE}{HTML}{000000} +\definecolor{labelTextColorF}{HTML}{000000} +\definecolor{labelTextColorG}{HTML}{000000} +\definecolor{labelTextColorH}{HTML}{000000} +\definecolor{labelTextColorI}{HTML}{000000} +\definecolor{labelTextColorJ}{HTML}{000000} +\definecolor{labelTextColorK}{HTML}{000000} +\definecolor{labelTextColorL}{HTML}{000000} +\definecolor{labelTextColorM}{HTML}{000000} + +\definecolor{linkColorA}{HTML}{000000} +\definecolor{linkColorB}{HTML}{000000} +\definecolor{linkColorC}{HTML}{000000} +\definecolor{linkColorD}{HTML}{000000} +\definecolor{linkColorE}{HTML}{000000} +\definecolor{linkColorF}{HTML}{000000} +\definecolor{linkColorG}{HTML}{000000} +\definecolor{linkColorH}{HTML}{000000} +\definecolor{linkColorI}{HTML}{000000} +\definecolor{linkColorJ}{HTML}{000000} +\definecolor{linkColorK}{HTML}{000000} +\definecolor{linkColorL}{HTML}{000000} +\definecolor{linkColorM}{HTML}{000000} + +\def\textA{\textsc{amoc}} +\def\textB{\textsc{binseg}} +\def\textC{\textsc{bocpd}} +\def\textD{\textsc{bocpdms}} +\def\textE{\textsc{cpnp}} +\def\textF{\textsc{ecp}} +\def\textG{\textsc{kcpa}} +\def\textH{\textsc{pelt}} +\def\textI{\textsc{prophet}} +\def\textJ{\textsc{rbocpdms}} +\def\textK{\textsc{rfpop}} +\def\textL{\textsc{segneigh}} +\def\textM{\textsc{wbs}} + +\begin{document} +\begin{tikzpicture}[x=1bp,y=-1bp] + +% shift for the margin +\begin{scope}[shift={(0, 0)}] +% main layer +\begin{scope}[shift={(0, 75)}] +% axis +\begin{scope} +\draw[very thick] (0, 0) -- (600, 0); +\end{scope} + +% axis layer +\begin{scope} +\begin{scope}[shift={(0, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {1}; +\end{scope} +\begin{scope}[shift={(50, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {2}; +\end{scope} +\begin{scope}[shift={(100, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {3}; +\end{scope} +\begin{scope}[shift={(150, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {4}; +\end{scope} +\begin{scope}[shift={(200, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {5}; +\end{scope} +\begin{scope}[shift={(250, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {6}; +\end{scope} +\begin{scope}[shift={(300, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {7}; +\end{scope} +\begin{scope}[shift={(350, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {8}; +\end{scope} +\begin{scope}[shift={(400, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {9}; +\end{scope} +\begin{scope}[shift={(450, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {10}; +\end{scope} +\begin{scope}[shift={(500, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {11}; +\end{scope} +\begin{scope}[shift={(550, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {12}; +\end{scope} +\begin{scope}[shift={(600, 0)}] +\draw[thick] (0, 0) -- (0, -6pt) +node[anchor=north] {13}; +\end{scope} +\end{scope} + +% link layer +\begin{scope} +\draw[color=linkColorA, thin] (164.28571428571428, 0) .. controls +(164.28571428571428, -10.0) and (109.0, -10.0) .. (109.0, -20.0); +\draw[color=linkColorB, thin] (133.57142857142856, 0) .. controls +(133.57142857142856, -10.0) and (31.0, -10.0) .. (31.0, -20.0); +\draw[color=linkColorC, thin] (202.1428571428571, 0) .. controls +(202.1428571428571, -10.0) and (211.0, -10.0) .. (211.0, -20.0); +\draw[color=linkColorD, thin] (325.0, 0) .. controls +(325.0, -10.0) and (328.0, -10.0) .. (328.0, -20.0); +\draw[color=linkColorE, thin] (280.71428571428567, 0) .. controls +(280.71428571428567, -10.0) and (281.0, -10.0) .. (281.0, -20.0); +\draw[color=linkColorF, thin] (250.71428571428572, 0) .. controls +(250.71428571428572, -10.0) and (248.0, -10.0) .. (248.0, -20.0); +\draw[color=linkColorG, thin] (598.5714285714286, 0) .. controls +(598.5714285714286, -10.0) and (599.0, -10.0) .. (599.0, -20.0); +\draw[color=linkColorH, thin] (144.28571428571428, 0) .. controls +(144.28571428571428, -10.0) and (71.0, -10.0) .. (71.0, -20.0); +\draw[color=linkColorI, thin] (337.85714285714283, 0) .. controls +(337.85714285714283, -10.0) and (385.0, -10.0) .. (385.0, -20.0); +\draw[color=linkColorJ, thin] (370.7142857142857, 0) .. controls +(370.7142857142857, -10.0) and (445.0, -10.0) .. (445.0, -20.0); +\draw[color=linkColorK, thin] (441.42857142857144, 0) .. controls +(441.42857142857144, -10.0) and (498.0, -10.0) .. (498.0, -20.0); +\draw[color=linkColorL, thin] (186.42857142857144, 0) .. controls +(186.42857142857144, -10.0) and (159.0, -10.0) .. (159.0, -20.0); +\draw[color=linkColorM, thin] (464.2857142857143, 0) .. controls +(464.2857142857143, -10.0) and (536.0, -10.0) .. (536.0, -20.0); +\end{scope} + +% label layer +\begin{scope} +\begin{scope}[shift={(90, -34)}] +\fill[color=labelBgColorA, rounded corners=2pt] +(0, 0) rectangle (37, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorA] {\strut \textA}; +\end{scope} +\begin{scope}[shift={(9, -34)}] +\fill[color=labelBgColorB, rounded corners=2pt] +(0, 0) rectangle (43, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorB] {\strut \textB}; +\end{scope} +\begin{scope}[shift={(190, -34)}] +\fill[color=labelBgColorC, rounded corners=2pt] +(0, 0) rectangle (41, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorC] {\strut \textC}; +\end{scope} +\begin{scope}[shift={(301, -34)}] +\fill[color=labelBgColorD, rounded corners=2pt] +(0, 0) rectangle (54, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorD] {\strut \textD}; +\end{scope} +\begin{scope}[shift={(264, -34)}] +\fill[color=labelBgColorE, rounded corners=2pt] +(0, 0) rectangle (34, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorE] {\strut \textE}; +\end{scope} +\begin{scope}[shift={(234, -34)}] +\fill[color=labelBgColorF, rounded corners=2pt] +(0, 0) rectangle (27, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorF] {\strut \textF}; +\end{scope} +\begin{scope}[shift={(582, -34)}] +\fill[color=labelBgColorG, rounded corners=2pt] +(0, 0) rectangle (34, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorG] {\strut \textG}; +\end{scope} +\begin{scope}[shift={(55, -34)}] +\fill[color=labelBgColorH, rounded corners=2pt] +(0, 0) rectangle (32, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorH] {\strut \textH}; +\end{scope} +\begin{scope}[shift={(358, -34)}] +\fill[color=labelBgColorI, rounded corners=2pt] +(0, 0) rectangle (53, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorI] {\strut \textI}; +\end{scope} +\begin{scope}[shift={(414, -34)}] +\fill[color=labelBgColorJ, rounded corners=2pt] +(0, 0) rectangle (61, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorJ] {\strut \textJ}; +\end{scope} +\begin{scope}[shift={(478, -34)}] +\fill[color=labelBgColorK, rounded corners=2pt] +(0, 0) rectangle (40, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorK] {\strut \textK}; +\end{scope} +\begin{scope}[shift={(130, -34)}] +\fill[color=labelBgColorL, rounded corners=2pt] +(0, 0) rectangle (57, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorL] {\strut \textL}; +\end{scope} +\begin{scope}[shift={(521, -34)}] +\fill[color=labelBgColorM, rounded corners=2pt] +(0, 0) rectangle (29, 14.62708) node[midway, yshift=-.75bp, anchor=center, text=labelTextColorM] {\strut \textM}; +\end{scope} +\end{scope} + +% dots +\begin{scope} +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorA] at (164.285714, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorB] at (133.571429, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorC] at (202.142857, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorD] at (325.000000, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorE] at (280.714286, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorF] at (250.714286, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorG] at (598.571429, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorH] at (144.285714, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorI] at (337.857143, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorJ] at (370.714286, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorK] at (441.428571, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorL] at (186.428571, 0) {}; +\draw node [circle, inner sep=0pt, minimum size=4bp, +fill=dotColorM] at (464.285714, 0) {}; +\end{scope} + +% Critical difference +\def\posBest{133.5714285714285552} +\def\posCD{237.9030476482082577} +\begin{scope} +\draw (\posBest, 30) -- (\posBest, 20); +\draw (\posBest, 25) --node[below] {CD} (\posCD, 25); +\draw (\posCD, 30) -- (\posCD, 20); +\end{scope} + +\end{scope} +\end{scope} +\end{tikzpicture} +\end{document} \ No newline at end of file diff --git a/analysis/output/summaries/summary_apple.json b/analysis/output/summaries/summary_apple.json new file mode 100644 index 00000000..3cb85482 --- /dev/null +++ b/analysis/output/summaries/summary_apple.json @@ -0,0 +1,24754 @@ +{ + "dataset": "apple", + "dataset_nobs": 622, + "dataset_ndim": 2, + "annotations": { + "6": [ + 319 + ], + "7": [ + 319 + ], + "8": [ + 319 + ], + "9": [ + 53, + 90, + 197, + 276, + 319, + 403, + 463, + 535 + ], + "10": [ + 319 + ] + }, + "results": { + "best_bocpdms": [ + { + "parameters": { + "S1": 2, + "S2": 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a/analysis/output/tables/aggregate_table.tex b/analysis/output/tables/aggregate_table.tex new file mode 100644 index 00000000..fc542fb3 --- /dev/null +++ b/analysis/output/tables/aggregate_table.tex @@ -0,0 +1,29 @@ +\begin{tabular}{lrrrr} +Univariate & \multicolumn{2}{c}{Default} & \multicolumn{2}{c}{Best} \\ + & Cover & F1 & Cover & F1 \\ +\hline +\textsc{amoc} & 0.702 & 0.664 & 0.746 & 0.783 \\ +\textsc{binseg} & \textbf{0.706} & \textbf{0.680} & 0.780 & 0.803 \\ +\textsc{bocpd} & 0.636 & 0.611 & \textbf{0.789} & \textbf{0.831} \\ +\textsc{bocpdms} & 0.633 & 0.476 & 0.744 & 0.569 \\ +\textsc{cpnp} & 0.535 & 0.534 & 0.552 & 0.567 \\ +\textsc{ecp} & 0.523 & 0.551 & 0.720 & 0.706 \\ +\textsc{kcpa} & 0.062 & 0.057 & 0.626 & 0.589 \\ +\textsc{pelt} & 0.689 & 0.653 & 0.725 & 0.703 \\ +\textsc{prophet} & 0.540 & 0.456 & 0.576 & 0.506 \\ +\textsc{rbocpdms} & 0.629 & 0.418 & & \\ +\textsc{rfpop} & 0.392 & 0.372 & 0.414 & 0.392 \\ +\textsc{segneigh} & 0.676 & 0.626 & 0.784 & 0.806 \\ +\textsc{wbs} & 0.330 & 0.300 & 0.428 & 0.390 \\ +\hline +& & & & \\ +Multivariate & \multicolumn{2}{c}{Default} & \multicolumn{2}{c}{Best} \\ + & Cover & F1 & Cover & F1 \\ +\hline +\textsc{bocpd} & 0.455 & 0.188 & \textbf{0.801} & \textbf{0.718} \\ +\textsc{bocpdms} & \textbf{0.486} & \textbf{0.286} & 0.623 & 0.386 \\ +\textsc{ecp} & 0.402 & 0.238 & 0.590 & 0.388 \\ +\textsc{kcpa} & 0.047 & 0.009 & 0.626 & 0.456 \\ +\textsc{rbocpdms} & 0.402 & 0.250 & & \\ +\hline +\end{tabular} diff --git a/analysis/output/tables/aggregate_table_wide.tex b/analysis/output/tables/aggregate_table_wide.tex new file mode 100644 index 00000000..37272f81 --- /dev/null +++ b/analysis/output/tables/aggregate_table_wide.tex @@ -0,0 +1,20 @@ +%% This table requires booktabs! +\begin{tabular}{lrr|rrrr|rr} + & \multicolumn{4}{c}{Univariate} & \multicolumn{4}{c}{Multivariate} \\\cmidrule(lr){2-5}\cmidrule(lr){6-9} + & \multicolumn{2}{c}{Default} & \multicolumn{2}{c}{Best} & \multicolumn{2}{c}{Default} & \multicolumn{2}{c}{Best} \\\cmidrule(lr){2-3}\cmidrule(lr){4-5}\cmidrule(lr){6-7}\cmidrule(lr){8-9} + & Cover & F1 & Cover & F1 & Cover & F1 & Cover & F1\\\cmidrule(r){1-1}\cmidrule(lr){2-5}\cmidrule(l){6-9} +\textsc{amoc} & 0.702 & 0.664 & 0.746 & 0.783 & & & & \\ +\textsc{binseg} & \textbf{0.706} & \textbf{0.680} & 0.780 & 0.803 & & & & \\ +\textsc{bocpd} & 0.636 & 0.611 & \textbf{0.789} & \textbf{0.831} & 0.455 & 0.188 & \textbf{0.801} & \textbf{0.718} \\ +\textsc{bocpdms} & 0.633 & 0.476 & 0.744 & 0.569 & \textbf{0.486} & \textbf{0.286} & 0.623 & 0.386 \\ +\textsc{cpnp} & 0.535 & 0.534 & 0.552 & 0.567 & & & & \\ +\textsc{ecp} & 0.523 & 0.551 & 0.720 & 0.706 & 0.402 & 0.238 & 0.590 & 0.388 \\ +\textsc{kcpa} & 0.062 & 0.057 & 0.626 & 0.589 & 0.047 & 0.009 & 0.626 & 0.456 \\ +\textsc{pelt} & 0.689 & 0.653 & 0.725 & 0.703 & & & & \\ +\textsc{prophet} & 0.540 & 0.456 & 0.576 & 0.506 & & & & \\ +\textsc{rbocpdms} & 0.629 & 0.418 & & & 0.402 & 0.250 & & \\ +\textsc{rfpop} & 0.392 & 0.372 & 0.414 & 0.392 & & & & \\ +\textsc{segneigh} & 0.676 & 0.626 & 0.784 & 0.806 & & & & \\ +\textsc{wbs} & 0.330 & 0.300 & 0.428 & 0.390 & & & & \\ +\cmidrule(r){1-1}\cmidrule(lr){2-5}\cmidrule(l){6-9} +\end{tabular} diff --git a/analysis/output/tables/best_cover_combined_full.tex b/analysis/output/tables/best_cover_combined_full.tex new file mode 100644 index 00000000..4d021db3 --- /dev/null +++ b/analysis/output/tables/best_cover_combined_full.tex @@ -0,0 +1,48 @@ +\begin{tabular}{lccccccccccccc} +Dataset & \textsc{amoc} & \textsc{binseg} & \textsc{bocpd} & \textsc{bocpdms} & \textsc{cpnp} & \textsc{ecp} & \textsc{kcpa} & \textsc{pelt} & \textsc{prophet} & \textsc{rbocpdms} & \textsc{rfpop} & \textsc{segneigh} & \textsc{wbs}\\ +\hline +\verb+bank+ & \textbf{1.000} & \textbf{1.000} & \textbf{1.000} & 0.997 & 0.103 & 0.238 & 0.509 & 0.509 & \textbf{1.000} & T & 0.036 & \textbf{1.000} & 0.053\\ +\verb+bitcoin+ & 0.771 & 0.771 & \textbf{0.822} & 0.773 & 0.364 & 0.772 & 0.778 & 0.794 & 0.723 & T & 0.168 & 0.771 & 0.409\\ +\verb+brent_spot+ & 0.503 & 0.650 & \textbf{0.667} & 0.265 & 0.437 & 0.653 & 0.571 & 0.659 & 0.527 & T & 0.235 & 0.659 & 0.310\\ +\verb+businv+ & 0.574 & 0.562 & \textbf{0.693} & 0.459 & 0.402 & 0.690 & 0.405 & 0.647 & 0.539 & 0.459 & 0.123 & 0.647 & 0.154\\ +\verb+centralia+ & 0.675 & 0.675 & \textbf{0.753} & 0.650 & 0.675 & \textbf{0.753} & 0.675 & 0.675 & 0.675 & 0.624 & 0.568 & 0.675 & 0.253\\ +\verb+children_per_woman+ & \textbf{0.804} & 0.798 & 0.801 & 0.427 & 0.486 & 0.718 & 0.613 & 0.798 & 0.521 & 0.715 & 0.154 & 0.798 & 0.284\\ +\verb+co2_canada+ & 0.527 & 0.747 & \textbf{0.773} & 0.584 & 0.528 & 0.751 & 0.739 & 0.705 & 0.605 & 0.617 & 0.497 & 0.752 & 0.552\\ +\verb+construction+ & \textbf{0.629} & 0.575 & 0.585 & 0.571 & 0.375 & 0.524 & 0.395 & 0.423 & 0.561 & 0.575 & 0.154 & 0.575 & 0.300\\ +\verb+debt_ireland+ & 0.635 & 0.717 & 0.688 & 0.729 & 0.777 & \textbf{0.798} & 0.747 & 0.777 & 0.321 & 0.396 & 0.489 & 0.777 & 0.248\\ +\verb+gdp_argentina+ & \textbf{0.737} & \textbf{0.737} & \textbf{0.737} & 0.711 & 0.461 & \textbf{0.737} & 0.367 & 0.667 & 0.592 & 0.711 & 0.346 & \textbf{0.737} & 0.326\\ +\verb+gdp_croatia+ & \textbf{0.708} & \textbf{0.708} & \textbf{0.708} & 0.675 & \textbf{0.708} & \textbf{0.708} & 0.623 & \textbf{0.708} & \textbf{0.708} & \textbf{0.708} & 0.353 & \textbf{0.708} & 0.108\\ +\verb+gdp_iran+ & 0.583 & 0.583 & 0.583 & 0.611 & 0.448 & 0.583 & 0.505 & 0.505 & 0.583 & \textbf{0.692} & 0.248 & 0.583 & 0.295\\ +\verb+gdp_japan+ & \textbf{0.802} & \textbf{0.802} & \textbf{0.802} & 0.777 & 0.522 & \textbf{0.802} & 0.525 & \textbf{0.802} & \textbf{0.802} & \textbf{0.802} & 0.283 & \textbf{0.802} & 0.283\\ +\verb+global_co2+ & \textbf{0.758} & \textbf{0.758} & \textbf{0.758} & 0.745 & 0.381 & 0.665 & 0.602 & 0.743 & 0.284 & 0.745 & 0.368 & \textbf{0.758} & 0.338\\ +\verb+homeruns+ & \textbf{0.694} & 0.683 & \textbf{0.694} & 0.681 & 0.537 & \textbf{0.694} & 0.501 & 0.683 & 0.575 & 0.506 & 0.392 & 0.683 & 0.407\\ +\verb+iceland_tourism+ & \textbf{0.946} & \textbf{0.946} & \textbf{0.946} & 0.936 & 0.393 & 0.842 & 0.655 & 0.830 & 0.498 & 0.936 & 0.293 & \textbf{0.946} & 0.512\\ +\verb+jfk_passengers+ & 0.844 & 0.839 & 0.837 & \textbf{0.855} & 0.583 & 0.807 & 0.563 & 0.839 & 0.373 & T & 0.393 & 0.839 & 0.514\\ +\verb+lga_passengers+ & 0.434 & 0.541 & 0.547 & 0.475 & 0.478 & \textbf{0.653} & 0.536 & 0.534 & 0.446 & T & 0.426 & 0.543 & 0.501\\ +\verb+measles+ & \textbf{0.951} & \textbf{0.951} & \textbf{0.951} & 0.950 & 0.098 & 0.105 & 0.400 & 0.232 & 0.616 & F/T & 0.046 & \textbf{0.951} & 0.084\\ +\verb+nile+ & \textbf{0.888} & 0.880 & \textbf{0.888} & 0.870 & 0.880 & \textbf{0.888} & 0.758 & 0.880 & 0.758 & 0.876 & 0.880 & 0.880 & 0.880\\ +\verb+ozone+ & 0.721 & 0.600 & 0.602 & 0.735 & 0.458 & 0.676 & 0.451 & 0.635 & 0.574 & \textbf{0.755} & 0.358 & 0.627 & 0.309\\ +\verb+quality_control_1+ & \textbf{0.996} & 0.992 & \textbf{0.996} & 0.990 & 0.721 & 0.989 & 0.620 & 0.992 & 0.693 & 0.780 & 0.706 & 0.992 & 0.687\\ +\verb+quality_control_2+ & 0.927 & 0.922 & \textbf{0.927} & 0.921 & 0.922 & 0.927 & \textbf{0.927} & 0.922 & 0.723 & 0.637 & 0.922 & 0.922 & 0.922\\ +\verb+quality_control_3+ & \textbf{0.997} & 0.996 & \textbf{0.997} & 0.987 & 0.831 & \textbf{0.997} & \textbf{0.997} & 0.996 & 0.500 & T & 0.978 & 0.996 & 0.996\\ +\verb+quality_control_4+ & \textbf{0.742} & 0.673 & 0.673 & 0.670 & 0.508 & 0.540 & 0.535 & 0.673 & 0.673 & T & 0.077 & 0.673 & 0.506\\ +\verb+quality_control_5+ & \textbf{1.000} & \textbf{1.000} & \textbf{1.000} & 0.994 & \textbf{1.000} & \textbf{1.000} & \textbf{1.000} & \textbf{1.000} & \textbf{1.000} & 0.994 & \textbf{1.000} & \textbf{1.000} & \textbf{1.000}\\ +\verb+rail_lines+ & 0.786 & 0.786 & 0.768 & 0.769 & \textbf{0.786} & 0.768 & 0.773 & 0.786 & 0.534 & 0.769 & 0.482 & 0.786 & 0.103\\ +\verb+ratner_stock+ & 0.874 & 0.914 & 0.906 & 0.872 & 0.382 & 0.874 & 0.771 & \textbf{0.914} & 0.444 & T & 0.162 & \textbf{0.914} & 0.182\\ +\verb+robocalls+ & 0.666 & 0.788 & \textbf{0.808} & 0.741 & 0.677 & \textbf{0.808} & \textbf{0.808} & 0.760 & 0.601 & 0.682 & 0.569 & 0.760 & 0.559\\ +\verb+scanline_126007+ & 0.634 & 0.633 & 0.631 & \textbf{0.677} & 0.433 & 0.390 & 0.494 & 0.444 & 0.503 & T & 0.316 & 0.633 & 0.329\\ +\verb+scanline_42049+ & 0.425 & 0.861 & \textbf{0.892} & 0.875 & 0.577 & 0.862 & 0.860 & 0.862 & 0.441 & T & 0.257 & 0.862 & 0.690\\ +\verb+seatbelts+ & 0.683 & 0.797 & 0.800 & 0.630 & \textbf{0.809} & 0.800 & 0.702 & 0.797 & 0.635 & 0.533 & 0.660 & 0.797 & 0.727\\ +\verb+shanghai_license+ & \textbf{0.930} & 0.920 & 0.920 & 0.911 & 0.474 & 0.920 & 0.497 & 0.920 & 0.804 & 0.763 & 0.381 & 0.920 & 0.351\\ +\verb+uk_coal_employ+ & M & M & M & \textbf{0.504} & M & 0.356 & 0.356 & M & 0.481 & M & M & M & M\\ +\verb+unemployment_nl+ & 0.627 & 0.669 & \textbf{0.669} & 0.572 & 0.503 & 0.501 & 0.476 & 0.650 & 0.507 & F/T & 0.246 & 0.650 & 0.447\\ +\verb+us_population+ & \textbf{0.803} & \textbf{0.803} & 0.737 & 0.801 & 0.391 & 0.508 & 0.271 & 0.506 & 0.135 & T & \textbf{0.803} & \textbf{0.803} & 0.050\\ +\verb+usd_isk+ & 0.865 & 0.764 & 0.853 & \textbf{0.866} & 0.540 & 0.858 & 0.714 & 0.791 & 0.436 & 0.770 & 0.166 & 0.791 & 0.401\\ +\verb+well_log+ & 0.463 & 0.828 & 0.793 & 0.769 & 0.779 & \textbf{0.846} & 0.798 & 0.782 & 0.411 & T & 0.787 & 0.782 & 0.768\\ +\hline +\verb+apple+ & & & \textbf{0.846} & 0.720 & & 0.758 & 0.462 & & & F/T & & & \\ +\verb+bee_waggle_6+ & & & \textbf{0.891} & 0.889 & & 0.116 & 0.730 & & & 0.205 & & & \\ +\verb+occupancy+ & & & 0.645 & 0.556 & & \textbf{0.666} & 0.581 & & & F/T & & & \\ +\verb+run_log+ & & & \textbf{0.824} & 0.327 & & 0.819 & 0.729 & & & 0.329 & & & \\ +\hline +\end{tabular} diff --git a/analysis/output/tables/best_cover_multi_avg.json b/analysis/output/tables/best_cover_multi_avg.json new file mode 100644 index 00000000..1a265803 --- /dev/null +++ b/analysis/output/tables/best_cover_multi_avg.json @@ -0,0 +1,6 @@ +{ + "bocpd": 0.8014610836188212, + 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null, + "rfpop": null, + "segneigh": null, + "wbs": null + }, + "unemployment_nl": { + "amoc": 0.6273577958058836, + "binseg": 0.669177886902036, + "bocpd": 0.6692902395575935, + "bocpdms": 0.5720509012543188, + "cpnp": 0.5030916551496796, + "ecp": 0.5005261204098733, + "kcpa": 0.475951119841195, + "pelt": 0.6502597869268365, + "prophet": 0.5065595248493318, + "rbocpdms": null, + "rfpop": 0.245684751385686, + "segneigh": 0.6502597869268365, + "wbs": 0.44679418355179584 + }, + "us_population": { + "amoc": 0.8033761053440983, + "binseg": 0.8033761053440983, + "bocpd": 0.7372576558713373, + "bocpdms": 0.8006187767868165, + "cpnp": 0.391421568627451, + "ecp": 0.5081523132128668, + "kcpa": 0.27132352941176474, + "pelt": 0.5061274509803921, + "prophet": 0.13480392156862744, + "rbocpdms": null, + "rfpop": 0.8033761053440983, + "segneigh": 0.8033761053440983, + "wbs": 0.04950980392156863 + }, + "usd_isk": { + "amoc": 0.8645950599174581, + "binseg": 0.7638805992994767, + "bocpd": 0.8527794314919734, + "bocpdms": 0.866448682173545, + "cpnp": 0.5396088979371789, + "ecp": 0.8577019651513579, + "kcpa": 0.7139078300015498, + "pelt": 0.7906488739707632, + "prophet": 0.43629300594994175, + "rbocpdms": 0.7700646665911591, + "rfpop": 0.1664093343727211, + "segneigh": 0.7906488739707632, + "wbs": 0.40051246830092985 + }, + "well_log": { + "amoc": 0.46267705859029923, + "binseg": 0.8275609454705819, + "bocpd": 0.7927147438989628, + "bocpdms": 0.7688175151690615, + "cpnp": 0.7790254678176946, + "ecp": 0.8462867382599653, + "kcpa": 0.7981439159661797, + "pelt": 0.7822015138061366, + "prophet": 0.4112569746320268, + "rbocpdms": null, + "rfpop": 0.7871519424337239, + "segneigh": 0.7822015138061366, + "wbs": 0.7677416100198158 + } +} diff --git a/analysis/output/tables/best_f1_combined_full.tex b/analysis/output/tables/best_f1_combined_full.tex new file mode 100644 index 00000000..86510ded --- /dev/null +++ b/analysis/output/tables/best_f1_combined_full.tex @@ -0,0 +1,48 @@ +\begin{tabular}{lccccccccccccc} +Dataset & \textsc{amoc} & \textsc{binseg} & \textsc{bocpd} & \textsc{bocpdms} & \textsc{cpnp} & \textsc{ecp} & \textsc{kcpa} & \textsc{pelt} & \textsc{prophet} & \textsc{rbocpdms} & \textsc{rfpop} & \textsc{segneigh} & \textsc{wbs}\\ +\hline +\verb+bank+ & \textbf{1.000} & \textbf{1.000} & \textbf{1.000} & 0.500 & 0.054 & 0.200 & 0.333 & 0.400 & \textbf{1.000} & T & 0.015 & \textbf{1.000} & 0.043\\ +\verb+bitcoin+ & 0.507 & 0.639 & 0.630 & 0.491 & 0.462 & 0.507 & 0.584 & \textbf{0.669} & 0.354 & T & 0.186 & \textbf{0.669} & 0.472\\ +\verb+brent_spot+ & 0.465 & \textbf{0.609} & \textbf{0.609} & 0.239 & 0.555 & 0.522 & 0.427 & 0.518 & 0.173 & T & 0.379 & 0.518 & 0.443\\ +\verb+businv+ & \textbf{0.588} & \textbf{0.588} & \textbf{0.588} & 0.455 & 0.386 & 0.370 & 0.294 & 0.490 & 0.275 & 0.370 & 0.182 & \textbf{0.588} & 0.239\\ +\verb+centralia+ & \textbf{0.763} & \textbf{0.763} & \textbf{0.763} & 0.595 & \textbf{0.763} & \textbf{0.763} & \textbf{0.763} & \textbf{0.763} & \textbf{0.763} & 0.458 & 0.494 & \textbf{0.763} & 0.143\\ +\verb+children_per_woman+ & \textbf{0.678} & 0.507 & 0.620 & 0.405 & 0.310 & 0.432 & 0.416 & 0.525 & 0.310 & 0.504 & 0.113 & 0.525 & 0.222\\ +\verb+co2_canada+ & 0.544 & 0.856 & \textbf{0.893} & 0.479 & 0.642 & 0.875 & 0.819 & 0.661 & 0.482 & 0.542 & 0.407 & 0.872 & 0.547\\ +\verb+construction+ & \textbf{0.696} & \textbf{0.696} & \textbf{0.696} & 0.410 & 0.430 & 0.547 & 0.481 & 0.547 & 0.324 & 0.340 & 0.136 & \textbf{0.696} & 0.422\\ +\verb+debt_ireland+ & 0.760 & 0.760 & \textbf{0.958} & 0.738 & \textbf{0.958} & \textbf{0.958} & 0.842 & \textbf{0.958} & 0.469 & 0.748 & 0.462 & \textbf{0.958} & 0.273\\ +\verb+gdp_argentina+ & 0.889 & \textbf{0.947} & \textbf{0.947} & 0.583 & 0.818 & 0.889 & 0.800 & \textbf{0.947} & 0.615 & 0.452 & 0.615 & \textbf{0.947} & 0.421\\ +\verb+gdp_croatia+ & \textbf{1.000} & 0.824 & \textbf{1.000} & 0.583 & \textbf{1.000} & 0.824 & 0.583 & 0.824 & 0.824 & 0.824 & 0.400 & 0.824 & 0.167\\ +\verb+gdp_iran+ & 0.652 & 0.652 & \textbf{0.730} & 0.492 & 0.383 & 0.652 & 0.473 & 0.537 & 0.652 & 0.538 & 0.333 & 0.652 & 0.349\\ +\verb+gdp_japan+ & \textbf{1.000} & 0.889 & \textbf{1.000} & 0.615 & 0.667 & \textbf{1.000} & 0.500 & 0.889 & 0.889 & 0.889 & 0.222 & 0.889 & 0.222\\ +\verb+global_co2+ & \textbf{0.846} & \textbf{0.846} & \textbf{0.846} & 0.458 & 0.286 & 0.595 & 0.595 & 0.634 & 0.142 & 0.458 & 0.110 & \textbf{0.846} & 0.056\\ +\verb+homeruns+ & \textbf{0.659} & \textbf{0.659} & \textbf{0.659} & 0.397 & 0.301 & 0.577 & 0.370 & 0.577 & 0.218 & 0.397 & 0.141 & \textbf{0.659} & 0.164\\ +\verb+iceland_tourism+ & \textbf{0.947} & \textbf{0.947} & \textbf{0.947} & 0.486 & 0.391 & 0.667 & 0.486 & 0.643 & 0.220 & 0.486 & 0.105 & \textbf{0.947} & 0.105\\ +\verb+jfk_passengers+ & \textbf{0.723} & \textbf{0.723} & \textbf{0.723} & 0.437 & 0.430 & 0.531 & 0.264 & 0.559 & 0.354 & T & 0.283 & \textbf{0.723} & 0.264\\ +\verb+lga_passengers+ & 0.535 & 0.535 & 0.535 & 0.456 & 0.335 & \textbf{0.645} & 0.417 & 0.348 & 0.366 & T & 0.355 & 0.535 & 0.352\\ +\verb+measles+ & \textbf{0.947} & \textbf{0.947} & \textbf{0.947} & 0.486 & 0.118 & 0.080 & 0.281 & 0.153 & 0.391 & F/T & 0.030 & \textbf{0.947} & 0.041\\ +\verb+nile+ & \textbf{1.000} & \textbf{1.000} & \textbf{1.000} & 0.800 & \textbf{1.000} & \textbf{1.000} & 0.824 & \textbf{1.000} & 0.824 & 0.667 & \textbf{1.000} & \textbf{1.000} & \textbf{1.000}\\ +\verb+ozone+ & 0.776 & 0.723 & 0.857 & 0.778 & 0.750 & \textbf{1.000} & 0.667 & \textbf{1.000} & 0.723 & 0.651 & 0.429 & \textbf{1.000} & 0.286\\ +\verb+quality_control_1+ & \textbf{1.000} & \textbf{1.000} & \textbf{1.000} & 0.667 & 0.667 & \textbf{1.000} & 0.667 & \textbf{1.000} & 0.500 & 0.286 & 0.667 & \textbf{1.000} & 0.667\\ +\verb+quality_control_2+ & \textbf{1.000} & \textbf{1.000} & \textbf{1.000} & 0.667 & \textbf{1.000} & \textbf{1.000} & \textbf{1.000} & \textbf{1.000} & 0.750 & 0.429 & \textbf{1.000} & \textbf{1.000} & \textbf{1.000}\\ +\verb+quality_control_3+ & \textbf{1.000} & \textbf{1.000} & \textbf{1.000} & 0.766 & 0.571 & \textbf{1.000} & \textbf{1.000} & \textbf{1.000} & 0.667 & T & 0.800 & \textbf{1.000} & \textbf{1.000}\\ +\verb+quality_control_4+ & \textbf{0.780} & \textbf{0.780} & \textbf{0.780} & 0.561 & 0.397 & 0.558 & 0.489 & \textbf{0.780} & \textbf{0.780} & T & 0.075 & \textbf{0.780} & 0.361\\ +\verb+quality_control_5+ & \textbf{1.000} & \textbf{1.000} & \textbf{1.000} & 0.500 & \textbf{1.000} & \textbf{1.000} & \textbf{1.000} & \textbf{1.000} & \textbf{1.000} & 0.500 & \textbf{1.000} & \textbf{1.000} & \textbf{1.000}\\ +\verb+rail_lines+ & \textbf{0.846} & \textbf{0.846} & \textbf{0.846} & 0.698 & 0.778 & \textbf{0.846} & 0.500 & \textbf{0.846} & 0.537 & 0.595 & 0.364 & \textbf{0.846} & 0.108\\ +\verb+ratner_stock+ & \textbf{0.776} & 0.683 & \textbf{0.776} & 0.559 & 0.227 & \textbf{0.776} & 0.481 & 0.683 & 0.280 & T & 0.092 & 0.683 & 0.200\\ +\verb+robocalls+ & 0.800 & \textbf{0.966} & \textbf{0.966} & 0.750 & 0.832 & \textbf{0.966} & \textbf{0.966} & \textbf{0.966} & 0.636 & 0.846 & 0.587 & \textbf{0.966} & 0.500\\ +\verb+scanline_126007+ & \textbf{0.644} & \textbf{0.644} & \textbf{0.644} & 0.507 & 0.233 & 0.325 & 0.478 & 0.233 & \textbf{0.644} & T & 0.097 & \textbf{0.644} & 0.125\\ +\verb+scanline_42049+ & 0.485 & 0.863 & \textbf{0.962} & 0.782 & 0.609 & 0.815 & 0.908 & 0.790 & 0.202 & T & 0.262 & 0.799 & 0.522\\ +\verb+seatbelts+ & 0.824 & \textbf{0.838} & 0.683 & 0.583 & 0.735 & 0.683 & 0.621 & 0.683 & 0.452 & 0.383 & 0.456 & 0.735 & 0.583\\ +\verb+shanghai_license+ & \textbf{0.966} & 0.636 & 0.636 & 0.491 & 0.600 & 0.625 & 0.274 & 0.605 & 0.532 & 0.389 & 0.231 & 0.636 & 0.250\\ +\verb+uk_coal_employ+ & M & M & M & \textbf{0.617} & M & 0.513 & 0.513 & M & 0.551 & M & M & M & M\\ +\verb+unemployment_nl+ & 0.742 & \textbf{0.889} & 0.876 & 0.592 & 0.672 & 0.711 & 0.678 & 0.788 & 0.566 & F/T & 0.466 & 0.788 & 0.658\\ +\verb+us_population+ & \textbf{1.000} & 0.889 & \textbf{1.000} & 0.615 & 0.232 & 0.471 & 0.276 & 0.500 & 0.159 & T & 0.889 & 0.889 & 0.077\\ +\verb+usd_isk+ & \textbf{0.785} & 0.657 & \textbf{0.785} & 0.678 & 0.563 & \textbf{0.785} & 0.462 & 0.657 & 0.489 & 0.385 & 0.182 & 0.678 & 0.333\\ +\verb+well_log+ & 0.336 & 0.914 & 0.832 & 0.743 & 0.822 & \textbf{0.928} & 0.776 & 0.832 & 0.149 & T & 0.923 & 0.832 & 0.832\\ +\hline +\verb+apple+ & & & \textbf{0.916} & 0.314 & & 0.745 & 0.481 & & & F/T & & & \\ +\verb+bee_waggle_6+ & & & \textbf{0.929} & 0.481 & & 0.124 & 0.634 & & & 0.245 & & & \\ +\verb+occupancy+ & & & \textbf{0.582} & 0.369 & & 0.482 & 0.405 & & & F/T & & & \\ +\verb+run_log+ & & & \textbf{0.446} & 0.380 & & 0.200 & 0.304 & & & 0.275 & & & \\ +\hline +\end{tabular} diff --git a/analysis/output/tables/best_f1_multi_avg.json b/analysis/output/tables/best_f1_multi_avg.json new file mode 100644 index 00000000..9de35da2 --- /dev/null +++ b/analysis/output/tables/best_f1_multi_avg.json @@ -0,0 +1,6 @@ +{ + "bocpd": 0.718040907733408, + "bocpdms": 0.3862673506325448, + "ecp": 0.38790015348968676, + "kcpa": 0.4560758392509358 +} diff --git a/analysis/output/tables/best_f1_uni_avg.json b/analysis/output/tables/best_f1_uni_avg.json new file mode 100644 index 00000000..5bf3ddb2 --- /dev/null +++ b/analysis/output/tables/best_f1_uni_avg.json @@ -0,0 +1,14 @@ +{ + "amoc": 0.7827330244626048, + "binseg": 0.8031280093237617, + "bocpd": 0.8307501589195349, + "bocpdms": 0.568782994696522, + "cpnp": 0.5669381324304421, + "ecp": 0.7060062858372516, + "kcpa": 0.5890673779576903, + "pelt": 0.7028636492743974, + "prophet": 0.5056771261253178, + "rfpop": 0.39155673412323544, + "segneigh": 0.8064026485290847, + "wbs": 0.3904386889845699 +} diff --git a/analysis/output/tables/best_f1_uni_full.json b/analysis/output/tables/best_f1_uni_full.json new file mode 100644 index 00000000..a0ce4d8d --- /dev/null +++ b/analysis/output/tables/best_f1_uni_full.json @@ -0,0 +1,572 @@ +{ + "bank": { + "amoc": 1.0, + "binseg": 1.0, + "bocpd": 1.0, + "bocpdms": 0.5, + "cpnp": 0.05405405405405406, + "ecp": 0.19999999999999998, + "kcpa": 0.33333333333333337, + "pelt": 0.4, + "prophet": 1.0, + "rbocpdms": null, + "rfpop": 0.015151515151515152, + "segneigh": 1.0, + "wbs": 0.042553191489361694 + }, + "bitcoin": { + "amoc": 0.5074626865671642, + "binseg": 0.6387678000581226, + "bocpd": 0.6303030303030304, + "bocpdms": 0.4910313901345291, + "cpnp": 0.4619516562220233, + "ecp": 0.5074626865671642, + "kcpa": 0.5842696629213484, + "pelt": 0.669305724725944, + "prophet": 0.35394862036156044, + "rbocpdms": null, + "rfpop": 0.18628719275549807, + "segneigh": 0.669305724725944, + "wbs": 0.4715025906735751 + }, + "brent_spot": { + "amoc": 0.4654731457800512, + "binseg": 0.6086956521739131, + "bocpd": 0.6086956521739131, + "bocpdms": 0.23931623931623927, + "cpnp": 0.555235775957494, + "ecp": 0.5223880597014926, + "kcpa": 0.42748091603053434, + "pelt": 0.5177757520510483, + "prophet": 0.1732283464566929, + "rbocpdms": null, + "rfpop": 0.37873628452516084, + "segneigh": 0.5177757520510483, + "wbs": 0.4425363276089828 + }, + "businv": { + "amoc": 0.5882352941176471, + "binseg": 0.5882352941176471, + "bocpd": 0.5882352941176471, + "bocpdms": 0.45454545454545453, + "cpnp": 0.38636363636363635, + "ecp": 0.3703703703703703, + "kcpa": 0.2940038684719536, + "pelt": 0.4903225806451614, + "prophet": 0.27530364372469635, + "rbocpdms": 0.3703703703703703, + "rfpop": 0.18181818181818182, + "segneigh": 0.5882352941176471, + "wbs": 0.23920265780730898 + }, + "centralia": { + "amoc": 0.7628865979381444, + "binseg": 0.7628865979381444, + "bocpd": 0.7628865979381444, + "bocpdms": 0.5945945945945946, + "cpnp": 0.7628865979381444, + "ecp": 0.7628865979381444, + "kcpa": 0.7628865979381444, + "pelt": 0.7628865979381444, + "prophet": 0.7628865979381444, + "rbocpdms": 0.45833333333333337, + "rfpop": 0.49350649350649345, + "segneigh": 0.7628865979381444, + "wbs": 0.14285714285714288 + }, + "children_per_woman": { + "amoc": 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0.7499999999999999, + "cpnp": 0.8316831683168318, + "ecp": 0.9655172413793104, + "kcpa": 0.9655172413793104, + "pelt": 0.9655172413793104, + "prophet": 0.6363636363636364, + "rbocpdms": 0.846153846153846, + "rfpop": 0.5874125874125874, + "segneigh": 0.9655172413793104, + "wbs": 0.5 + }, + "scanline_126007": { + "amoc": 0.6444007858546169, + "binseg": 0.6444007858546169, + "bocpd": 0.6444007858546169, + "bocpdms": 0.5071618037135279, + "cpnp": 0.23268698060941828, + "ecp": 0.32459016393442625, + "kcpa": 0.47783251231527096, + "pelt": 0.23268698060941828, + "prophet": 0.6444007858546169, + "rbocpdms": null, + "rfpop": 0.09743366681165723, + "segneigh": 0.6444007858546169, + "wbs": 0.12486187845303864 + }, + "scanline_42049": { + "amoc": 0.4845005740528128, + "binseg": 0.8630490956072351, + "bocpd": 0.9622641509433963, + "bocpdms": 0.7819548872180451, + "cpnp": 0.6092446448703495, + "ecp": 0.8151848151848151, + "kcpa": 0.9076751946607342, + "pelt": 0.7898134863701578, + "prophet": 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"binseg": null, + "bocpd": null, + "bocpdms": 0.6173410404624278, + "cpnp": null, + "ecp": 0.5132743362831859, + "kcpa": 0.5132743362831859, + "pelt": null, + "prophet": 0.5512820512820513, + "rbocpdms": null, + "rfpop": null, + "segneigh": null, + "wbs": null + }, + "unemployment_nl": { + "amoc": 0.7421383647798743, + "binseg": 0.888888888888889, + "bocpd": 0.8764044943820225, + "bocpdms": 0.5924050632911392, + "cpnp": 0.6719367588932806, + "ecp": 0.7112068965517241, + "kcpa": 0.6778163458504259, + "pelt": 0.787878787878788, + "prophet": 0.5663082437275986, + "rbocpdms": null, + "rfpop": 0.4660194174757282, + "segneigh": 0.787878787878788, + "wbs": 0.6575342465753424 + }, + "us_population": { + "amoc": 1.0, + "binseg": 0.888888888888889, + "bocpd": 1.0, + "bocpdms": 0.6153846153846154, + "cpnp": 0.232258064516129, + "ecp": 0.47058823529411764, + "kcpa": 0.27586206896551724, + "pelt": 0.5, + "prophet": 0.15859030837004406, + "rbocpdms": null, + "rfpop": 0.888888888888889, + "segneigh": 0.888888888888889, + "wbs": 0.07692307692307693 + }, + "usd_isk": { + "amoc": 0.7854251012145749, + "binseg": 0.6565143824027072, + "bocpd": 0.7854251012145749, + "bocpdms": 0.6782608695652174, + "cpnp": 0.562929061784897, + "ecp": 0.7854251012145749, + "kcpa": 0.4621676891615542, + "pelt": 0.6565143824027072, + "prophet": 0.48866498740554154, + "rbocpdms": 0.38537271448663846, + "rfpop": 0.18181818181818182, + "segneigh": 0.6782608695652174, + "wbs": 0.33333333333333337 + }, + "well_log": { + "amoc": 0.3364140480591497, + "binseg": 0.91350531107739, + "bocpd": 0.8320663441603318, + "bocpdms": 0.7426576913487908, + "cpnp": 0.8216588221334492, + "ecp": 0.9281744335185976, + "kcpa": 0.7763426240652617, + "pelt": 0.8320663441603318, + "prophet": 0.14883148831488316, + "rbocpdms": null, + "rfpop": 0.9225874867444326, + "segneigh": 0.8320663441603318, + "wbs": 0.8320663441603318 + } +} diff --git a/analysis/output/tables/default_cover_combined_full.tex b/analysis/output/tables/default_cover_combined_full.tex new file mode 100644 index 00000000..d61a1d35 --- /dev/null +++ b/analysis/output/tables/default_cover_combined_full.tex @@ -0,0 +1,48 @@ +\begin{tabular}{lccccccccccccc} +Dataset & \textsc{amoc} & \textsc{binseg} & \textsc{bocpd} & \textsc{bocpdms} & \textsc{cpnp} & \textsc{ecp} & \textsc{kcpa} & \textsc{pelt} & \textsc{prophet} & \textsc{rbocpdms} & \textsc{rfpop} & \textsc{segneigh} & \textsc{wbs}\\ +\hline +\verb+bank+ & \textbf{0.967} & 0.509 & 0.048 & 0.188 & 0.053 & 0.127 & 0.036 & 0.509 & 0.361 & 0.644 & 0.036 & 0.509 & 0.048\\ +\verb+bitcoin+ & \textbf{0.764} & 0.754 & 0.717 & 0.748 & 0.364 & 0.209 & 0.046 & 0.758 & 0.723 & F & 0.168 & 0.758 & 0.304\\ +\verb+brent_spot+ & 0.423 & 0.627 & 0.586 & 0.265 & 0.411 & 0.387 & 0.022 & 0.627 & 0.527 & 0.504 & 0.225 & \textbf{0.630} & 0.242\\ +\verb+businv+ & 0.574 & 0.562 & 0.463 & 0.459 & 0.402 & 0.311 & 0.013 & \textbf{0.603} & 0.478 & 0.559 & 0.123 & 0.494 & 0.108\\ +\verb+centralia+ & \textbf{0.675} & 0.564 & 0.612 & 0.650 & 0.564 & \textbf{0.675} & 0.440 & 0.564 & \textbf{0.675} & 0.624 & 0.528 & 0.564 & 0.253\\ +\verb+children_per_woman+ & \textbf{0.798} & \textbf{0.798} & 0.758 & 0.427 & 0.486 & 0.397 & 0.048 & \textbf{0.798} & 0.521 & 0.745 & 0.154 & 0.771 & 0.186\\ +\verb+co2_canada+ & 0.527 & 0.608 & \textbf{0.716} & 0.276 & 0.514 & 0.639 & 0.263 & 0.611 & 0.540 & 0.432 & 0.497 & 0.612 & 0.480\\ +\verb+construction+ & 0.525 & 0.466 & 0.395 & 0.571 & 0.334 & 0.352 & 0.016 & 0.423 & 0.502 & \textbf{0.581} & 0.092 & 0.423 & 0.198\\ +\verb+debt_ireland+ & 0.321 & \textbf{0.635} & 0.584 & 0.312 & \textbf{0.635} & 0.321 & 0.210 & \textbf{0.635} & 0.321 & 0.306 & 0.489 & \textbf{0.635} & 0.248\\ +\verb+gdp_argentina+ & 0.667 & 0.667 & 0.630 & 0.711 & 0.451 & \textbf{0.737} & 0.061 & 0.667 & 0.534 & 0.711 & 0.332 & 0.631 & 0.068\\ +\verb+gdp_croatia+ & 0.605 & 0.605 & 0.642 & 0.655 & 0.642 & \textbf{0.708} & 0.108 & 0.605 & \textbf{0.708} & 0.655 & 0.353 & 0.605 & 0.108\\ +\verb+gdp_iran+ & 0.484 & 0.477 & 0.520 & 0.580 & 0.448 & \textbf{0.583} & 0.062 & 0.477 & \textbf{0.583} & 0.580 & 0.248 & 0.503 & 0.066\\ +\verb+gdp_japan+ & 0.654 & 0.654 & 0.578 & 0.644 & 0.522 & \textbf{0.802} & 0.041 & 0.654 & \textbf{0.802} & 0.645 & 0.269 & 0.654 & 0.048\\ +\verb+global_co2+ & 0.743 & \textbf{0.748} & 0.640 & 0.738 & 0.313 & 0.535 & 0.173 & 0.638 & 0.284 & 0.745 & 0.368 & 0.634 & 0.187\\ +\verb+homeruns+ & \textbf{0.683} & \textbf{0.683} & 0.526 & 0.677 & 0.516 & 0.611 & 0.047 & \textbf{0.683} & 0.574 & 0.554 & 0.354 & 0.590 & 0.312\\ +\verb+iceland_tourism+ & 0.764 & 0.764 & 0.595 & 0.616 & 0.383 & 0.382 & 0.017 & 0.764 & 0.453 & \textbf{0.855} & 0.293 & 0.650 & 0.512\\ +\verb+jfk_passengers+ & \textbf{0.839} & \textbf{0.839} & 0.541 & 0.831 & 0.561 & 0.438 & 0.008 & \textbf{0.839} & 0.373 & 0.628 & 0.264 & 0.791 & 0.409\\ +\verb+lga_passengers+ & 0.427 & 0.458 & 0.496 & 0.444 & 0.473 & 0.386 & 0.013 & 0.474 & 0.434 & 0.382 & 0.412 & \textbf{0.543} & 0.477\\ +\verb+measles+ & \textbf{0.951} & \textbf{0.951} & 0.081 & 0.255 & 0.098 & 0.060 & 0.005 & 0.213 & 0.603 & 0.296 & 0.046 & 0.367 & 0.081\\ +\verb+nile+ & 0.880 & 0.880 & \textbf{0.888} & 0.870 & 0.880 & 0.857 & 0.032 & 0.880 & 0.758 & 0.753 & 0.880 & 0.880 & 0.880\\ +\verb+ozone+ & \textbf{0.701} & 0.600 & 0.602 & 0.560 & 0.441 & 0.574 & 0.070 & 0.635 & 0.574 & 0.577 & 0.309 & 0.627 & 0.070\\ +\verb+quality_control_1+ & \textbf{0.992} & \textbf{0.992} & 0.887 & 0.982 & 0.683 & 0.620 & 0.010 & \textbf{0.992} & 0.693 & 0.990 & 0.655 & \textbf{0.992} & 0.687\\ +\verb+quality_control_2+ & 0.922 & 0.922 & \textbf{0.927} & 0.921 & 0.922 & 0.927 & 0.010 & 0.922 & 0.723 & 0.912 & 0.922 & 0.922 & 0.922\\ +\verb+quality_control_3+ & 0.996 & 0.996 & \textbf{0.997} & 0.977 & 0.831 & \textbf{0.997} & 0.008 & 0.996 & 0.500 & 0.743 & 0.658 & 0.996 & 0.996\\ +\verb+quality_control_4+ & 0.563 & 0.518 & 0.511 & \textbf{0.670} & 0.481 & 0.257 & 0.009 & 0.538 & 0.508 & 0.661 & 0.059 & 0.538 & 0.080\\ +\verb+quality_control_5+ & \textbf{1.000} & \textbf{1.000} & \textbf{1.000} & 0.994 & \textbf{1.000} & \textbf{1.000} & 0.006 & \textbf{1.000} & \textbf{1.000} & 0.994 & \textbf{1.000} & \textbf{1.000} & \textbf{1.000}\\ +\verb+rail_lines+ & \textbf{0.786} & \textbf{0.786} & 0.767 & 0.416 & 0.738 & 0.428 & 0.103 & \textbf{0.786} & 0.534 & 0.416 & 0.439 & \textbf{0.786} & 0.103\\ +\verb+ratner_stock+ & 0.873 & 0.913 & 0.796 & 0.866 & 0.380 & 0.185 & 0.021 & 0.908 & 0.444 & 0.862 & 0.162 & \textbf{0.914} & 0.176\\ +\verb+robocalls+ & 0.641 & 0.641 & \textbf{0.808} & 0.622 & 0.677 & 0.601 & 0.069 & 0.641 & 0.601 & 0.607 & 0.447 & 0.760 & 0.069\\ +\verb+scanline_126007+ & 0.519 & 0.464 & 0.346 & 0.433 & 0.433 & 0.327 & 0.025 & 0.444 & 0.503 & F & 0.316 & \textbf{0.567} & 0.263\\ +\verb+scanline_42049+ & 0.424 & 0.631 & \textbf{0.892} & 0.832 & 0.529 & 0.490 & 0.121 & 0.745 & 0.441 & 0.421 & 0.257 & 0.730 & 0.432\\ +\verb+seatbelts+ & 0.683 & \textbf{0.797} & 0.757 & 0.526 & 0.750 & 0.615 & 0.020 & \textbf{0.797} & 0.628 & 0.526 & 0.484 & 0.765 & 0.727\\ +\verb+shanghai_license+ & \textbf{0.920} & \textbf{0.920} & 0.856 & 0.616 & 0.474 & 0.518 & 0.020 & \textbf{0.920} & 0.768 & 0.754 & 0.381 & 0.826 & 0.209\\ +\verb+uk_coal_employ+ & M & M & M & 0.429 & M & 0.356 & 0.356 & M & \textbf{0.481} & M & M & M & M\\ +\verb+unemployment_nl+ & 0.507 & \textbf{0.669} & 0.495 & 0.570 & 0.503 & 0.470 & 0.039 & 0.648 & 0.507 & 0.539 & 0.243 & 0.648 & 0.222\\ +\verb+us_population+ & 0.736 & 0.391 & 0.219 & 0.801 & 0.391 & 0.089 & 0.003 & 0.506 & 0.096 & 0.555 & \textbf{0.803} & 0.307 & 0.043\\ +\verb+usd_isk+ & 0.853 & 0.735 & 0.672 & \textbf{0.866} & 0.480 & 0.616 & 0.023 & 0.730 & 0.436 & 0.582 & 0.163 & 0.730 & 0.194\\ +\verb+well_log+ & 0.453 & 0.695 & 0.776 & 0.778 & 0.772 & 0.601 & 0.020 & 0.679 & 0.411 & 0.665 & \textbf{0.787} & 0.647 & 0.719\\ +\hline +\verb+apple+ & & & 0.365 & 0.298 & & 0.305 & 0.007 & & & \textbf{0.424} & & & \\ +\verb+bee_waggle_6+ & & & 0.089 & \textbf{0.887} & & 0.116 & 0.004 & & & 0.277 & & & \\ +\verb+occupancy+ & & & \textbf{0.549} & 0.459 & & 0.530 & 0.050 & & & 0.467 & & & \\ +\verb+run_log+ & & & \textbf{0.815} & 0.302 & & 0.657 & 0.128 & & & 0.439 & & & \\ +\hline +\end{tabular} diff --git a/analysis/output/tables/default_cover_multi_avg.json b/analysis/output/tables/default_cover_multi_avg.json new file mode 100644 index 00000000..aa366c77 --- /dev/null +++ b/analysis/output/tables/default_cover_multi_avg.json @@ -0,0 +1,7 @@ +{ + "bocpd": 0.4547724416155867, + "bocpdms": 0.4864318292271028, + "ecp": 0.4021031859847961, + "kcpa": 0.04727702480450509, + "rbocpdms": 0.401669621852949 +} diff --git a/analysis/output/tables/default_cover_uni_avg.json b/analysis/output/tables/default_cover_uni_avg.json new file mode 100644 index 00000000..4a7cfbc0 --- /dev/null +++ b/analysis/output/tables/default_cover_uni_avg.json @@ -0,0 +1,15 @@ +{ + "amoc": 0.7016046192329134, + "binseg": 0.70579896408019, + "bocpd": 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+ "bocpd": 0.3461360947117411, + "bocpdms": 0.433094420519326, + "cpnp": 0.43250044062606696, + "ecp": 0.32661195870408066, + "kcpa": 0.025363825363825365, + "pelt": 0.4435622793574522, + "prophet": 0.5027199917012807, + "rbocpdms": null, + "rfpop": 0.3155288774231227, + "segneigh": 0.5674532369803685, + "wbs": 0.26301202987142086 + }, + "scanline_42049": { + "amoc": 0.42402749280674296, + "binseg": 0.6314867217082936, + "bocpd": 0.8920680176281544, + "bocpdms": 0.8317714867114443, + "cpnp": 0.5287193456297983, + "ecp": 0.4904818069878699, + "kcpa": 0.12141372141372142, + "pelt": 0.7454882781915352, + "prophet": 0.44129005397448573, + "rbocpdms": 0.4207584200548333, + "rfpop": 0.2572545092059262, + "segneigh": 0.7297414014592061, + "wbs": 0.4320485484333056 + }, + "seatbelts": { + "amoc": 0.6825404441929043, + "binseg": 0.796945892630244, + "bocpd": 0.7565173618892873, + "bocpdms": 0.5262925461440059, + "cpnp": 0.7495058046692855, + "ecp": 0.6154938937201455, + "kcpa": 0.019791666666666666, + "pelt": 0.796945892630244, + "prophet": 0.6281015064769836, + "rbocpdms": 0.5262925461440059, + "rfpop": 0.48429166666666673, + "segneigh": 0.7654780268915077, + "wbs": 0.727164100252578 + }, + "shanghai_license": { + "amoc": 0.9196947071511531, + "binseg": 0.9196947071511531, + "bocpd": 0.8557634480454392, + "bocpdms": 0.6156585618297099, + "cpnp": 0.47395704404805244, + "ecp": 0.5176585365853659, + "kcpa": 0.02048780487804878, + "pelt": 0.9196947071511531, + "prophet": 0.7678640059127864, + "rbocpdms": 0.7543980157704533, + "rfpop": 0.38054693274205464, + "segneigh": 0.8264951553625124, + "wbs": 0.20883961566888395 + }, + "uk_coal_employ": { + "amoc": null, + "binseg": null, + "bocpd": null, + "bocpdms": 0.42901587301587296, + "cpnp": null, + "ecp": 0.35648072562358274, + "kcpa": 0.35648072562358274, + "pelt": null, + "prophet": 0.4809133767087081, + "rbocpdms": null, + "rfpop": null, + "segneigh": null, + "wbs": null + }, + "unemployment_nl": { + "amoc": 0.5065595248493318, + "binseg": 0.669177886902036, + "bocpd": 0.49508665190523937, + "bocpdms": 0.5698215369879949, + "cpnp": 0.5030916551496796, + "ecp": 0.470449776849074, + "kcpa": 0.03925233644859812, + "pelt": 0.6483671445199073, + "prophet": 0.5065595248493318, + "rbocpdms": 0.5385050140609804, + "rfpop": 0.24328043451875225, + "segneigh": 0.6483671445199073, + "wbs": 0.2216065865598576 + }, + "us_population": { + "amoc": 0.7355460811775691, + "binseg": 0.3909313725490196, + "bocpd": 0.21911764705882356, + "bocpdms": 0.8006187767868165, + "cpnp": 0.391421568627451, + "ecp": 0.08946078431372549, + "kcpa": 0.0029411764705882353, + "pelt": 0.5061274509803921, + "prophet": 0.09583333333333334, + "rbocpdms": 0.554656862745098, + "rfpop": 0.8033761053440983, + "segneigh": 0.3073529411764706, + "wbs": 0.04264705882352941 + }, + "usd_isk": { + "amoc": 0.8527794314919734, + "binseg": 0.7347653721190944, + "bocpd": 0.6716572567006793, + "bocpdms": 0.866448682173545, + "cpnp": 0.48011495083863504, + "ecp": 0.6160593821788403, + "kcpa": 0.022672064777327933, + "pelt": 0.7303371792260955, + "prophet": 0.43629300594994175, + "rbocpdms": 0.5821701480650142, + "rfpop": 0.16304945054945055, + "segneigh": 0.7303371792260955, + "wbs": 0.19410063620589937 + }, + "well_log": { + "amoc": 0.4527947707232932, + "binseg": 0.6954264948476262, + "bocpd": 0.7763050637371114, + "bocpdms": 0.7781186453147706, + "cpnp": 0.7722333028622153, + "ecp": 0.6012275267436302, + "kcpa": 0.020444444444444442, + "pelt": 0.6785920888706041, + "prophet": 0.4112569746320268, + "rbocpdms": 0.6651010133088289, + "rfpop": 0.7871519424337239, + "segneigh": 0.6465255849795147, + "wbs": 0.7187662053663793 + } +} diff --git a/analysis/output/tables/default_f1_combined_full.tex b/analysis/output/tables/default_f1_combined_full.tex new file mode 100644 index 00000000..dcb00e21 --- /dev/null +++ b/analysis/output/tables/default_f1_combined_full.tex @@ -0,0 +1,48 @@ +\begin{tabular}{lccccccccccccc} +Dataset & \textsc{amoc} & \textsc{binseg} & \textsc{bocpd} & \textsc{bocpdms} & \textsc{cpnp} & \textsc{ecp} & \textsc{kcpa} & \textsc{pelt} & \textsc{prophet} & \textsc{rbocpdms} & \textsc{rfpop} & \textsc{segneigh} & \textsc{wbs}\\ +\hline +\verb+bank+ & \textbf{0.667} & 0.400 & 0.047 & 0.118 & 0.044 & 0.154 & 0.008 & 0.400 & 0.154 & 0.333 & 0.015 & 0.333 & 0.039\\ +\verb+bitcoin+ & 0.367 & 0.278 & \textbf{0.550} & 0.269 & 0.402 & 0.285 & 0.044 & 0.473 & 0.354 & F & 0.186 & 0.473 & 0.279\\ +\verb+brent_spot+ & 0.272 & 0.416 & 0.387 & 0.239 & \textbf{0.555} & 0.418 & 0.048 & 0.402 & 0.173 & 0.321 & 0.375 & 0.366 & 0.354\\ +\verb+businv+ & \textbf{0.455} & 0.370 & 0.270 & 0.370 & 0.304 & 0.179 & 0.024 & 0.370 & 0.275 & 0.312 & 0.170 & 0.312 & 0.188\\ +\verb+centralia+ & \textbf{0.763} & 0.625 & 0.625 & 0.595 & 0.625 & \textbf{0.763} & 0.200 & 0.625 & \textbf{0.763} & 0.458 & 0.400 & 0.625 & 0.143\\ +\verb+children_per_woman+ & 0.472 & 0.472 & \textbf{0.525} & 0.337 & 0.208 & 0.216 & 0.026 & 0.472 & 0.310 & 0.288 & 0.113 & 0.337 & 0.111\\ +\verb+co2_canada+ & 0.544 & 0.691 & 0.619 & 0.265 & 0.578 & \textbf{0.817} & 0.107 & 0.661 & 0.482 & 0.381 & 0.407 & 0.661 & 0.356\\ +\verb+construction+ & 0.516 & \textbf{0.547} & 0.481 & 0.410 & 0.359 & 0.430 & 0.019 & \textbf{0.547} & 0.324 & 0.480 & 0.115 & \textbf{0.547} & 0.248\\ +\verb+debt_ireland+ & 0.469 & \textbf{0.760} & \textbf{0.760} & 0.611 & \textbf{0.760} & 0.469 & 0.261 & \textbf{0.760} & 0.469 & 0.530 & 0.462 & \textbf{0.760} & 0.273\\ +\verb+gdp_argentina+ & 0.889 & 0.889 & \textbf{0.947} & 0.583 & 0.818 & 0.824 & 0.131 & 0.889 & 0.615 & 0.452 & 0.571 & \textbf{0.947} & 0.148\\ +\verb+gdp_croatia+ & 0.583 & 0.583 & \textbf{1.000} & 0.583 & \textbf{1.000} & 0.824 & 0.160 & 0.583 & 0.824 & 0.452 & 0.400 & 0.583 & 0.167\\ +\verb+gdp_iran+ & 0.492 & 0.492 & 0.424 & 0.492 & 0.330 & \textbf{0.652} & 0.100 & 0.492 & \textbf{0.652} & 0.395 & 0.316 & 0.395 & 0.113\\ +\verb+gdp_japan+ & 0.615 & 0.615 & 0.800 & 0.471 & 0.667 & \textbf{0.889} & 0.068 & 0.615 & \textbf{0.889} & 0.667 & 0.190 & 0.615 & 0.077\\ +\verb+global_co2+ & \textbf{0.634} & \textbf{0.634} & 0.481 & 0.458 & 0.242 & 0.481 & 0.036 & 0.481 & 0.142 & 0.458 & 0.110 & 0.481 & 0.038\\ +\verb+homeruns+ & \textbf{0.577} & \textbf{0.577} & 0.370 & 0.356 & 0.301 & 0.448 & 0.018 & \textbf{0.577} & 0.218 & 0.337 & 0.133 & 0.397 & 0.100\\ +\verb+iceland_tourism+ & \textbf{0.643} & \textbf{0.643} & 0.486 & 0.391 & 0.391 & 0.391 & 0.010 & \textbf{0.643} & 0.220 & 0.400 & 0.105 & 0.486 & 0.105\\ +\verb+jfk_passengers+ & \textbf{0.559} & \textbf{0.559} & 0.264 & 0.358 & 0.430 & 0.264 & 0.009 & \textbf{0.559} & 0.354 & 0.347 & 0.189 & 0.437 & 0.264\\ +\verb+lga_passengers+ & \textbf{0.422} & 0.305 & 0.399 & 0.297 & 0.264 & 0.392 & 0.021 & 0.305 & 0.366 & 0.348 & 0.262 & 0.264 & 0.245\\ +\verb+measles+ & \textbf{0.947} & \textbf{0.947} & 0.069 & 0.124 & 0.118 & 0.069 & 0.004 & 0.124 & 0.391 & 0.117 & 0.030 & 0.327 & 0.039\\ +\verb+nile+ & \textbf{1.000} & \textbf{1.000} & \textbf{1.000} & 0.800 & \textbf{1.000} & \textbf{1.000} & 0.040 & \textbf{1.000} & 0.824 & 0.452 & \textbf{1.000} & \textbf{1.000} & \textbf{1.000}\\ +\verb+ozone+ & 0.531 & 0.650 & 0.650 & 0.531 & 0.750 & 0.723 & 0.109 & \textbf{1.000} & 0.723 & 0.559 & 0.375 & \textbf{1.000} & 0.113\\ +\verb+quality_control_1+ & \textbf{1.000} & \textbf{1.000} & 0.800 & 0.667 & 0.667 & 0.667 & 0.013 & \textbf{1.000} & 0.500 & 0.667 & 0.667 & \textbf{1.000} & 0.571\\ +\verb+quality_control_2+ & \textbf{1.000} & \textbf{1.000} & \textbf{1.000} & 0.667 & \textbf{1.000} & \textbf{1.000} & 0.014 & \textbf{1.000} & 0.545 & 0.667 & \textbf{1.000} & \textbf{1.000} & \textbf{1.000}\\ +\verb+quality_control_3+ & \textbf{1.000} & \textbf{1.000} & \textbf{1.000} & 0.667 & 0.571 & \textbf{1.000} & 0.011 & \textbf{1.000} & 0.667 & 0.333 & 0.286 & \textbf{1.000} & \textbf{1.000}\\ +\verb+quality_control_4+ & \textbf{0.576} & 0.565 & 0.397 & 0.438 & 0.361 & 0.282 & 0.008 & 0.558 & 0.191 & 0.360 & 0.073 & 0.558 & 0.077\\ +\verb+quality_control_5+ & \textbf{1.000} & \textbf{1.000} & \textbf{1.000} & 0.500 & \textbf{1.000} & \textbf{1.000} & 0.006 & \textbf{1.000} & \textbf{1.000} & 0.500 & \textbf{1.000} & \textbf{1.000} & \textbf{1.000}\\ +\verb+rail_lines+ & \textbf{0.846} & \textbf{0.846} & \textbf{0.846} & 0.349 & 0.778 & 0.537 & 0.105 & \textbf{0.846} & 0.423 & 0.349 & 0.333 & \textbf{0.846} & 0.108\\ +\verb+ratner_stock+ & \textbf{0.776} & 0.683 & 0.526 & 0.333 & 0.126 & 0.201 & 0.013 & 0.650 & 0.280 & 0.559 & 0.092 & 0.683 & 0.115\\ +\verb+robocalls+ & 0.800 & 0.800 & \textbf{0.966} & 0.516 & 0.832 & 0.636 & 0.111 & 0.800 & 0.636 & 0.410 & 0.500 & \textbf{0.966} & 0.113\\ +\verb+scanline_126007+ & 0.524 & 0.259 & 0.220 & 0.379 & 0.233 & 0.300 & 0.009 & 0.188 & \textbf{0.644} & F & 0.097 & 0.297 & 0.078\\ +\verb+scanline_42049+ & 0.485 & 0.713 & \textbf{0.962} & 0.735 & 0.608 & 0.580 & 0.063 & 0.744 & 0.202 & 0.390 & 0.262 & 0.684 & 0.276\\ +\verb+seatbelts+ & 0.474 & \textbf{0.683} & 0.583 & 0.383 & 0.509 & 0.321 & 0.041 & \textbf{0.683} & 0.452 & 0.383 & 0.396 & 0.583 & 0.583\\ +\verb+shanghai_license+ & \textbf{0.605} & \textbf{0.605} & 0.465 & 0.491 & 0.437 & 0.541 & 0.029 & \textbf{0.605} & 0.532 & 0.326 & 0.231 & 0.465 & 0.130\\ +\verb+uk_coal_employ+ & M & M & M & 0.495 & M & 0.513 & 0.513 & M & \textbf{0.551} & M & M & M & M\\ +\verb+unemployment_nl+ & 0.566 & \textbf{0.876} & 0.610 & 0.592 & 0.610 & 0.620 & 0.093 & 0.773 & 0.566 & 0.495 & 0.466 & 0.773 & 0.397\\ +\verb+us_population+ & \textbf{1.000} & 0.667 & 0.216 & 0.471 & 0.216 & 0.174 & 0.005 & 0.471 & 0.159 & 0.242 & 0.889 & 0.320 & 0.077\\ +\verb+usd_isk+ & \textbf{0.785} & 0.657 & 0.609 & 0.678 & 0.409 & 0.518 & 0.024 & 0.657 & 0.489 & 0.282 & 0.167 & 0.657 & 0.188\\ +\verb+well_log+ & 0.279 & 0.534 & 0.796 & 0.769 & 0.822 & 0.818 & 0.052 & 0.555 & 0.149 & 0.578 & \textbf{0.923} & 0.485 & 0.724\\ +\hline +\verb+apple+ & & & 0.247 & 0.142 & & 0.247 & 0.006 & & & \textbf{0.373} & & & \\ +\verb+bee_waggle_6+ & & & 0.062 & \textbf{0.481} & & 0.124 & 0.003 & & & 0.218 & & & \\ +\verb+occupancy+ & & & 0.259 & 0.203 & & \textbf{0.387} & 0.015 & & & 0.163 & & & \\ +\verb+run_log+ & & & 0.182 & \textbf{0.319} & & 0.195 & 0.014 & & & 0.244 & & & \\ +\hline +\end{tabular} diff --git a/analysis/output/tables/default_f1_multi_avg.json b/analysis/output/tables/default_f1_multi_avg.json new file mode 100644 index 00000000..1c5dd041 --- /dev/null +++ b/analysis/output/tables/default_f1_multi_avg.json @@ -0,0 +1,7 @@ +{ + "bocpd": 0.18760009622112495, + "bocpdms": 0.2863800722335245, + "ecp": 0.23828457433188238, + "kcpa": 0.009455518272524471, + "rbocpdms": 0.24971838871416588 +} diff --git a/analysis/output/tables/default_f1_uni_avg.json b/analysis/output/tables/default_f1_uni_avg.json new file mode 100644 index 00000000..6b62cd02 --- /dev/null +++ b/analysis/output/tables/default_f1_uni_avg.json @@ -0,0 +1,15 @@ +{ + "amoc": 0.6640790939070127, + "binseg": 0.6801451061962296, + "bocpd": 0.6109178945811512, + "bocpdms": 0.47562708146270294, + "cpnp": 0.5340133123860371, + "ecp": 0.5514092429795647, + "kcpa": 0.05681409056362388, + "pelt": 0.6527961379171128, + "prophet": 0.45594342708633, + "rbocpdms": 0.4179119126195535, + "rfpop": 0.3720949663003199, + "segneigh": 0.6255775512246301, + "wbs": 0.29950025277506126 +} diff --git a/analysis/output/tables/default_f1_uni_full.json b/analysis/output/tables/default_f1_uni_full.json new file mode 100644 index 00000000..f684e7a6 --- /dev/null +++ b/analysis/output/tables/default_f1_uni_full.json @@ -0,0 +1,572 @@ +{ + "bank": { + "amoc": 0.6666666666666666, + "binseg": 0.4, + "bocpd": 0.046511627906976744, + "bocpdms": 0.11764705882352941, + "cpnp": 0.044444444444444446, + "ecp": 0.15384615384615385, + "kcpa": 0.0076045627376425855, + "pelt": 0.4, + "prophet": 0.15384615384615385, + "rbocpdms": 0.33333333333333337, + "rfpop": 0.015151515151515152, + "segneigh": 0.33333333333333337, + "wbs": 0.0392156862745098 + }, + "bitcoin": { + "amoc": 0.36708860759493667, + "binseg": 0.27786259541984737, + "bocpd": 0.549618320610687, + "bocpdms": 0.2685185185185185, + "cpnp": 0.4020797227036395, + "ecp": 0.28509719222462204, + "kcpa": 0.04419889502762431, + "pelt": 0.473469387755102, + "prophet": 0.35394862036156044, + "rbocpdms": null, + "rfpop": 0.18628719275549807, + "segneigh": 0.473469387755102, + "wbs": 0.27906976744186046 + }, + "brent_spot": { + "amoc": 0.27184466019417475, + "binseg": 0.4163424124513619, + "bocpd": 0.38656126482213443, + "bocpdms": 0.23931623931623927, + "cpnp": 0.555235775957494, + "ecp": 0.417910447761194, + "kcpa": 0.047619047619047616, + "pelt": 0.40239043824701193, + "prophet": 0.1732283464566929, + "rbocpdms": 0.3212669683257919, + "rfpop": 0.37529530880863987, + "segneigh": 0.3656108597285068, + "wbs": 0.35433628318584076 + }, + "businv": { + "amoc": 0.45454545454545453, + "binseg": 0.3703703703703703, + "bocpd": 0.27027027027027023, + "bocpdms": 0.3703703703703703, + "cpnp": 0.30400000000000005, + "ecp": 0.1794871794871795, + "kcpa": 0.024024024024024027, + "pelt": 0.3703703703703703, + "prophet": 0.27530364372469635, + "rbocpdms": 0.3125, + "rfpop": 0.1702127659574468, + "segneigh": 0.3125, + "wbs": 0.18848167539267016 + }, + "centralia": { + "amoc": 0.7628865979381444, + "binseg": 0.625, + "bocpd": 0.625, + "bocpdms": 0.5945945945945946, + "cpnp": 0.625, + "ecp": 0.7628865979381444, + "kcpa": 0.19999999999999998, + "pelt": 0.625, + "prophet": 0.7628865979381444, + "rbocpdms": 0.45833333333333337, + "rfpop": 0.4, + "segneigh": 0.625, + "wbs": 0.14285714285714288 + }, + "children_per_woman": { + "amoc": 0.47183098591549294, + "binseg": 0.47183098591549294, + "bocpd": 0.5253164556962024, + "bocpdms": 0.3366336633663366, + "cpnp": 0.2076502732240437, + "ecp": 0.21647819063004847, + "kcpa": 0.026200873362445417, + "pelt": 0.47183098591549294, + "prophet": 0.31017119838872104, + "rbocpdms": 0.288135593220339, + "rfpop": 0.11320754716981131, + "segneigh": 0.3366336633663366, + "wbs": 0.1111111111111111 + }, + "co2_canada": { + "amoc": 0.5441941074523396, + "binseg": 0.6905689789555729, + "bocpd": 0.6192917054986021, + "bocpdms": 0.26523297491039427, + "cpnp": 0.5784832451499119, + "ecp": 0.8169458606457879, + "kcpa": 0.10738255033557045, + "pelt": 0.6613545816733067, + "prophet": 0.48212083847102344, + "rbocpdms": 0.38053097345132747, + "rfpop": 0.4065792855307119, + "segneigh": 0.6613545816733067, + "wbs": 0.35555555555555557 + }, + "construction": { + "amoc": 0.5161290322580646, + "binseg": 0.5473684210526316, + "bocpd": 0.48148148148148145, + "bocpdms": 0.4102564102564102, + "cpnp": 0.358974358974359, + "ecp": 0.42975206611570255, + "kcpa": 0.01923076923076923, + "pelt": 0.5473684210526316, + "prophet": 0.32432432432432434, + "rbocpdms": 0.48, + "rfpop": 0.11538461538461538, + "segneigh": 0.5473684210526316, + "wbs": 0.247787610619469 + }, + "debt_ireland": { + "amoc": 0.4693877551020408, + 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0.2758620689655173 + }, + "seatbelts": { + "amoc": 0.4736842105263158, + "binseg": 0.6829268292682926, + "bocpd": 0.5833333333333334, + "bocpdms": 0.3829787234042553, + "cpnp": 0.509090909090909, + "ecp": 0.32142857142857145, + "kcpa": 0.041025641025641026, + "pelt": 0.6829268292682926, + "prophet": 0.45161290322580644, + "rbocpdms": 0.3829787234042553, + "rfpop": 0.3958333333333333, + "segneigh": 0.5833333333333334, + "wbs": 0.5833333333333334 + }, + "shanghai_license": { + "amoc": 0.605263157894737, + "binseg": 0.605263157894737, + "bocpd": 0.4646464646464646, + "bocpdms": 0.4912280701754385, + "cpnp": 0.43678160919540227, + "ecp": 0.5405405405405407, + "kcpa": 0.029126213592233007, + "pelt": 0.605263157894737, + "prophet": 0.5316455696202531, + "rbocpdms": 0.3255813953488372, + "rfpop": 0.23076923076923078, + "segneigh": 0.4646464646464646, + "wbs": 0.13043478260869565 + }, + "uk_coal_employ": { + "amoc": null, + "binseg": null, + "bocpd": null, + "bocpdms": 0.4951923076923077, + "cpnp": null, + "ecp": 0.5132743362831859, + "kcpa": 0.5132743362831859, + "pelt": null, + "prophet": 0.5512820512820513, + "rbocpdms": null, + "rfpop": null, + "segneigh": null, + "wbs": null + }, + "unemployment_nl": { + "amoc": 0.5663082437275986, + "binseg": 0.8764044943820225, + "bocpd": 0.6103669190448456, + "bocpdms": 0.5924050632911392, + "cpnp": 0.6103669190448456, + "ecp": 0.6203208556149732, + "kcpa": 0.09345794392523364, + "pelt": 0.7730061349693252, + "prophet": 0.5663082437275986, + "rbocpdms": 0.49494949494949503, + "rfpop": 0.4660194174757282, + "segneigh": 0.7730061349693252, + "wbs": 0.39669421487603307 + }, + "us_population": { + "amoc": 1.0, + "binseg": 0.6666666666666666, + "bocpd": 0.21621621621621623, + "bocpdms": 0.47058823529411764, + "cpnp": 0.21621621621621623, + "ecp": 0.17391304347826084, + "kcpa": 0.004895960832313342, + "pelt": 0.47058823529411764, + "prophet": 0.15859030837004406, + "rbocpdms": 0.24242424242424243, + "rfpop": 0.888888888888889, + "segneigh": 0.32000000000000006, + "wbs": 0.07692307692307693 + }, + "usd_isk": { + "amoc": 0.7854251012145749, + "binseg": 0.6565143824027072, + "bocpd": 0.609375, + "bocpdms": 0.6782608695652174, + "cpnp": 0.40931780366056564, + "ecp": 0.518475073313783, + "kcpa": 0.024489795918367346, + "pelt": 0.6565143824027072, + "prophet": 0.48866498740554154, + "rbocpdms": 0.2819767441860465, + "rfpop": 0.16666666666666669, + "segneigh": 0.6565143824027072, + "wbs": 0.1875 + }, + "well_log": { + "amoc": 0.27915869980879543, + "binseg": 0.5342019543973942, + "bocpd": 0.7964879993865501, + "bocpdms": 0.7692603266090298, + "cpnp": 0.8216588221334492, + "ecp": 0.8183003808232041, + "kcpa": 0.052478134110787174, + "pelt": 0.5545670225385527, + "prophet": 0.14883148831488316, + "rbocpdms": 0.5778164924506389, + "rfpop": 0.9225874867444326, + "segneigh": 0.4848015488867377, + "wbs": 0.7244283995186522 + } +} diff --git a/analysis/requirements.txt b/analysis/requirements.txt new file mode 100644 index 00000000..26563ab6 --- /dev/null +++ b/analysis/requirements.txt @@ -0,0 +1,6 @@ +tabulate>=0.8.6 +scipy +numpy +labella>=0.9.6 +termcolor +colorama diff --git a/analysis/scripts/aggregate_table_wide.py b/analysis/scripts/aggregate_table_wide.py new file mode 100644 index 00000000..712a6a4a --- /dev/null +++ b/analysis/scripts/aggregate_table_wide.py @@ -0,0 +1,222 @@ +# -*- coding: utf-8 -*- + +""" +Script to generate the aggregate table (wide version) + +Author: Gertjan van den Burg +Copyright (c) 2020 - The Alan Turing Institute +License: See the LICENSE file. + +""" + +import argparse +import json +import tabulate + +from enum import Enum + + +class Method(Enum): + amoc = "amoc" + binseg = "binseg" + bocpd = "bocpd" + bocpdms = "bocpdms" + cpnp = "cpnp" + ecp = "ecp" + kcpa = "kcpa" + pelt = "pelt" + prophet = "prophet" + rbocpdms = "rbocpdms" + rfpop = "rfpop" + segneigh = "segneigh" + wbs = "wbs" + + +# Methods that support multidimensional datasets +MULTIMETHODS = [ + Method.bocpd, + Method.bocpdms, + Method.ecp, + Method.kcpa, + Method.rbocpdms, +] + + +def parse_args(): + parser = argparse.ArgumentParser() + parser.add_argument( + "--bcu", + help="Path to json file with results for: best/cover/uni", + required=True, + ) + parser.add_argument( + "--bcm", + help="Path to json file with results for: best/cover/multi", + required=True, + ) + parser.add_argument( + "--bfu", + help="Path to json file with results for: best/f1/uni", + required=True, + ) + parser.add_argument( + "--bfm", + help="Path to json file with results for: best/f1/multi", + required=True, + ) + parser.add_argument( + "--dcu", + help="Path to json file with results for: default/cover/uni", + required=True, + ) + parser.add_argument( + "--dcm", + help="Path to json file with results for: default/cover/multi", + required=True, + ) + parser.add_argument( + "--dfu", + help="Path to json file with results for: default/f1/uni", + required=True, + ) + parser.add_argument( + "--dfm", + help="Path to json file with results for: default/f1/multi", + required=True, + ) + return parser.parse_args() + + +def load_json(filename): + with open(filename, "r") as fp: + return json.load(fp) + + +def make_table( + label, + uni_default_cover, + uni_default_f1, + uni_best_cover, + uni_best_f1, + multi_default_cover, + multi_default_f1, + multi_best_cover, + multi_best_f1, + methods, +): + """Create part of the aggregate table + """ + tex = [] + tex.append("%% This table requires booktabs!") + + tex.append("\\begin{tabular}{lrr|rrrr|rr}") + superheader = ( + " & ".join( + [ + "", + "\\multicolumn{4}{c}{Univariate}", + "\\multicolumn{4}{c}{Multivariate} \\\\", + ] + ) + + "\\cmidrule(lr){2-5}\\cmidrule(lr){6-9}" + ) + tex.append(superheader) + header = ( + " & ".join( + [ + "", + "\\multicolumn{2}{c}{Default}", + "\\multicolumn{2}{c}{Best}", + "\\multicolumn{2}{c}{Default}", + "\\multicolumn{2}{c}{Best} \\\\", + ] + ) + + "\\cmidrule(lr){2-3}" + + "\\cmidrule(lr){4-5}" + + "\\cmidrule(lr){6-7}" + + "\\cmidrule(lr){8-9}" + ) + tex.append(header) + subheader = ( + " & ".join( + [ + "", + "Cover", + "F1", + "Cover", + "F1", + "Cover", + "F1", + "Cover", + "F1" + "\\\\", + ] + ) + + "\\cmidrule(r){1-1}" + + "\\cmidrule(lr){2-5}" + + "\\cmidrule(l){6-9}" + ) + tex.append(subheader) + + table = [] + + L = max(map(len, methods)) + textsc = lambda m: "\\textsc{%s}%s" % (m, (L - len(m)) * " ") + table.append(list(map(textsc, methods))) + + all_exps = [ + [uni_default_cover, uni_default_f1, uni_best_cover, uni_best_f1], + [ + multi_default_cover, + multi_default_f1, + multi_best_cover, + multi_best_f1, + ], + ] + + for exps in all_exps: + for exp in exps: + row = [] + maxscore = max((exp[m] for m in methods if m in exp)) + for m in methods: + if not m in exp: + row.append(5 * " ") + continue + score = exp[m] + scorestr = tabulate._format( + score, tabulate._float_type, ".3f", "" + ) + if score == maxscore: + row.append("\\textbf{%s}" % scorestr) + else: + row.append(scorestr) + table.append(row) + + transposed = list(zip(*table)) + for row in transposed: + tex.append(" & ".join(row) + " \\\\") + tex.append("\\cmidrule(r){1-1}\\cmidrule(lr){2-5}\\cmidrule(l){6-9}") + tex.append("\\end{tabular}") + + return tex + + +def main(): + args = parse_args() + + bcu = load_json(args.bcu) + bcm = load_json(args.bcm) + bfu = load_json(args.bfu) + bfm = load_json(args.bfm) + dcu = load_json(args.dcu) + dcm = load_json(args.dcm) + dfu = load_json(args.dfu) + dfm = load_json(args.dfm) + + methods = sorted([m.name for m in Method]) + tex = make_table("Wide", dcu, dfu, bcu, bfu, dcm, dfm, bcm, bfm, methods) + + print("\n".join(tex)) + + +if __name__ == "__main__": + main() diff --git a/analysis/scripts/latex.py b/analysis/scripts/latex.py new file mode 100644 index 00000000..107ce20a --- /dev/null +++ b/analysis/scripts/latex.py @@ -0,0 +1,140 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- + +""" +Code for compiling latex from Python. + +Based on: https://github.com/GjjvdBurg/labella.py + +Author: Gertjan van den Burg +Copyright (c) 2020 - The Alan Turing Institute +License: See the LICENSE file. + +""" + +import os +import shutil +import subprocess +import tabulate +import tempfile + + +def compile_latex(fname, tmpdirname, silent=True): + compiler = "latexmk" + compiler_args = [ + "--pdf", + "--outdir=" + tmpdirname, + "--interaction=nonstopmode", + fname, + ] + command = [compiler] + compiler_args + try: + output = subprocess.check_output(command, stderr=subprocess.STDOUT) + except (OSError, IOError) as e: + raise (e) + except subprocess.CalledProcessError as e: + print(e.output.decode()) + raise (e) + else: + if not silent: + print(output.decode()) + + +def build_latex_doc(tex, output_name=None, silent=True): + with tempfile.TemporaryDirectory() as tmpdirname: + basename = "labella_text" + fname = os.path.join(tmpdirname, basename + ".tex") + with open(fname, "w") as fid: + fid.write(tex) + + compile_latex(fname, tmpdirname, silent=silent) + + pdfname = os.path.join(tmpdirname, basename + ".pdf") + if output_name: + shutil.copy2(pdfname, output_name) + + +def build_latex_table( + table, + headers, + floatfmt="g", + missingval="", + bests="default", + table_spec=None, +): + """Construct the LaTeX code for a table + + This function creates the LaTeX code for a data table while taking number + formatting, headers, missing values, and "best value formatting" into + account. + + The numbers in the table are formatted following the provided float format + and the missing value indicator using the ``_format`` function from the + ``tabulate`` package. To indicate a missing value the data row should mark + this value as ``None``. + + The ``bests`` parameter is used to decide how to highlight the best values + in each row. It can be either ``'default'``, ``None``, a list of length 1 + where the element is either ``min`` or ``max``, or a list of length ``K`` + with similar elements where ``K`` is the length of the data table. If it is + ``'default'`` then ``max`` will be considered best for each row. If a list + of length 1 is supplied then the provided function will be used for each + row. If ``None``, no highlighting will be done. + + The ``table_spec`` parameter allows the user to specify the table + specification. This value is not checked. If it is None, the first column + will get 'l' spec and the remaining columns will get the 'r' spec. + + """ + if bests == "default": + bests = [max] + elif bests is None: + bests = [] + + if len(bests) > 1: + assert len(bests) == len(table) + assert all((x in [min, max] for x in bests)) + + if len(bests) == 0: + best_funcs = [None for x in range(len(table))] + elif len(bests) == 1: + best_funcs = [bests[0] for x in range(len(table))] + else: + best_funcs = bests[:] + + _typ = lambda v: tabulate._type(v) + _fmt = lambda v: tabulate._format(v, _typ(v), floatfmt, missingval) + + list_of_lists, headers = table, headers + cols = list(zip(*list_of_lists)) + coltypes = list(map(tabulate._column_type, cols)) + + cols = [ + [_fmt(v) for v in c] + for c, ct in zip(cols, coltypes) + ] + + n_cols = len(cols) + + data_rows = table + text_rows = list(zip(*cols)) + + text = [] + if table_spec is None: + text.append("\\begin{tabular}{l%s}" % ("r" * (n_cols - 1))) + else: + text.append("\\begin{tabular}{%s}" % table_spec) + text.append(" & ".join(headers) + "\\\\") + text.append("\\hline") + for data_row, text_row, best_func in zip(data_rows, text_rows, best_funcs): + text_row = list(text_row) + if not best_func is None: + best_val = best_func([x for x in data_row if isinstance(x, float)]) + best_idx = [i for i, v in enumerate(data_row) if v == best_val] + for idx in best_idx: + text_row[idx] = "\\textbf{" + text_row[idx] + "}" + text.append(" & ".join(text_row) + "\\\\") + text.append("\\hline") + text.append("\\end{tabular}") + + return "\n".join(text) diff --git a/analysis/scripts/make_table.py b/analysis/scripts/make_table.py new file mode 100644 index 00000000..e4747258 --- /dev/null +++ b/analysis/scripts/make_table.py @@ -0,0 +1,441 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- + +""" +Script to generate tables from summary files + +Metrics, experiments, methods, and datasets are hard-coded as a means of +validation. + +For the "best" experiment, the RBOCPDMS method is excluded because it fails too +often. For the other experiments, datasets with incomplete results are removed. + +Author: G.J.J. van den Burg +Copyright (c) 2020 - The Alan Turing Institute +License: See the LICENSE file. + +""" + +import argparse +import colorama +import json +import os +import sys +import termcolor + +from enum import Enum +from typing import Optional + +# from pydantic.dataclasses import dataclass +from dataclasses import dataclass + +from latex import build_latex_table + +colorama.init() + + +class Metric(Enum): + f1 = "f1" + cover = "cover" + + +class Experiment(Enum): + default = "default" + best = "best" + + +class Dataset(Enum): + apple = "apple" + bank = "bank" + bee_waggle_6 = "bee_waggle_6" + bitcoin = "bitcoin" + brent_spot = "brent_spot" + businv = "businv" + centralia = "centralia" + children_per_woman = "children_per_woman" + co2_canada = "co2_canada" + construction = "construction" + debt_ireland = "debt_ireland" + gdp_argentina = "gdp_argentina" + gdp_croatia = "gdp_croatia" + gdp_iran = "gdp_iran" + gdp_japan = "gdp_japan" + global_co2 = "global_co2" + homeruns = "homeruns" + iceland_tourism = "iceland_tourism" + jfk_passengers = "jfk_passengers" + lga_passengers = "lga_passengers" + nile = "nile" + occupancy = "occupancy" + ozone = "ozone" + quality_control_1 = "quality_control_1" + quality_control_2 = "quality_control_2" + quality_control_3 = "quality_control_3" + quality_control_4 = "quality_control_4" + quality_control_5 = "quality_control_5" + rail_lines = "rail_lines" + ratner_stock = "ratner_stock" + robocalls = "robocalls" + run_log = "run_log" + scanline_126007 = "scanline_126007" + scanline_42049 = "scanline_42049" + seatbelts = "seatbelts" + shanghai_license = "shanghai_license" + uk_coal_employ = "uk_coal_employ" + measles = "measles" + unemployment_nl = "unemployment_nl" + us_population = "us_population" + usd_isk = "usd_isk" + well_log = "well_log" + + +class Method(Enum): + amoc = "amoc" + binseg = "binseg" + bocpd = "bocpd" + bocpdms = "bocpdms" + cpnp = "cpnp" + ecp = "ecp" + kcpa = "kcpa" + pelt = "pelt" + prophet = "prophet" + rbocpdms = "rbocpdms" + rfpop = "rfpop" + segneigh = "segneigh" + wbs = "wbs" + + +# Methods that support multidimensional datasets +MULTIMETHODS = [ + Method.bocpd, + Method.bocpdms, + Method.ecp, + Method.kcpa, + Method.rbocpdms, +] + +# Multidimensional datasets +MULTIDATASETS = [ + Dataset.apple, + Dataset.bee_waggle_6, + Dataset.occupancy, + Dataset.run_log, +] + +# Datasets with missing values +MISSING_DATASETS = [Dataset.uk_coal_employ] + +# Methods that handle missing values +MISSING_METHODS = [Method.bocpdms, Method.ecp, Method.kcpa, Method.prophet] + + +@dataclass +class Result: + dataset: Dataset + experiment: Experiment + is_multidim: bool + method: Method + metric: Metric + score: Optional[float] + summary_file: str + placeholder: Optional[str] + + +def parse_args(): + parser = argparse.ArgumentParser() + parser.add_argument( + "-s", + "--summary-dir", + help="Directory with summary files", + required=True, + ) + parser.add_argument( + "-m", + "--metric", + help="Metric to use for the table", + choices=["f1", "cover"], + required=True, + ) + parser.add_argument( + "-e", + "--experiment", + help="Experiment to make table for", + choices=["best", "default"], + required=True, + ) + parser.add_argument( + "-d", + "--dim", + help="Dimensionality", + choices=["uni", "multi", "combined"], + required=True, + ) + parser.add_argument( + "-f", + "--format", + help="Output format", + choices=["json", "tex"], + required=True, + ) + parser.add_argument( + "-t", + "--type", + help="Type of table to make", + choices=["avg", "full"], + required=True, + ) + return parser.parse_args() + + +def warning(msg): + termcolor.cprint(msg, "yellow", file=sys.stderr) + + +def load_summary(filename): + with open(filename, "r") as fp: + data = json.load(fp) + return data + + +def extract_score(method_results, metric=None, experiment=None): + """Extract a single numeric score from a list of dictionaries + """ + + if not metric in [Metric.f1, Metric.cover]: + raise ValueError("Unknown metric: %s" % metric) + if not experiment in ["default", "best"]: + raise ValueError("Unknown experiment: %s" % experiment) + + # Collect all values for the chosen metric + scores = [] + for result in method_results: + if not result["status"] == "SUCCESS": + continue + scores.append(result["scores"][metric.name]) + + if len(scores) == 0: + return None + + # check that we have only one score for the 'default' experiment + if experiment == "default": + if len(scores) > 1: + raise ValueError("Default experiment with more than one score!") + return scores[0] + return max(scores) + + +def collect_results(summary_dir=None, metric=None, experiment=None): + """Collect the results for the experiment on the specified metric. + + Returns a list of Result objects. + """ + if not metric in [Metric.f1, Metric.cover]: + raise ValueError("Unknown metric: %s" % metric) + if not experiment in ["default", "best"]: + raise ValueError("Unknown experiment: %s" % experiment) + if not os.path.isdir(summary_dir): + raise FileNotFoundError(summary_dir) + + results = [] + for fname in sorted(os.listdir(summary_dir)): + path = os.path.join(summary_dir, fname) + summary_data = load_summary(path) + + dataset_name = summary_data["dataset"] + summary_results = summary_data["results"] + + is_multi = summary_data["dataset_ndim"] > 1 + + for method in summary_results: + # method names are prefixed with the experiment type, so we skip + # the ones we don't want + if not method.startswith(experiment + "_"): + continue + + # extract the metric score for this experiment from the summary + # results for the method + score = extract_score( + summary_results[method], metric=metric, experiment=experiment + ) + + # strip the experiment from the method name + method_name = method[len(experiment + "_") :] + + # determine the placeholder value if there is no score. + placeholder = set() + if score is None: + if (Dataset(dataset_name) in MISSING_DATASETS) and ( + not Method(method_name) in MISSING_METHODS + ): + # dataset has missing values and method can't handle it + placeholder.add("M") + else: + for result in summary_results[method]: + if result["status"] == "FAIL": + placeholder.add("F") + elif result["status"] == "TIMEOUT": + placeholder.add("T") + placeholder = "/".join(sorted(placeholder)) + + # create a Result object + res = Result( + dataset=Dataset(dataset_name), + experiment=Experiment(experiment), + is_multidim=is_multi, + method=Method(method_name), + metric=Metric(metric), + score=score, + summary_file=fname, + placeholder=placeholder or None, + ) + results.append(res) + return results + + +def average_results(results): + """Average the results + + NOTE: This function filters out some methods/datasets for which we have + insufficient results. + """ + experiment = list(set(r.experiment for r in results))[0] + # determine if we're dealing with multidimensional datasets + is_multi = all(r.is_multidim for r in results) + + expected_methods = MULTIMETHODS if is_multi else list(Method) + + # keep only expected methods + results = list(filter(lambda r: r.method in expected_methods, results)) + + # remove RBOCPDMS for 'best', because it fails too often + if experiment == Experiment.best: + warning( + "\nWarning: Removing RBOCPDMS (experiment = %s)\n" % experiment + ) + results = list(filter(lambda r: r.method != Method.rbocpdms, results)) + expected_methods.remove(Method.rbocpdms) + + # remove datasets for which we do not have complete results + to_remove = [] + for dataset in set(r.dataset for r in results): + dset_results = filter(lambda r: r.dataset == dataset, results) + if any(r.score is None for r in dset_results): + to_remove.append(dataset) + if to_remove: + warning("\nWarning: Filtering out datasets: %r\n" % to_remove) + results = list(filter(lambda r: not r.dataset in to_remove, results)) + + # check that we are now complete: for all datasets and all methods in the + # remaining results, we have a non-None score. + assert all(r.score is not None for r in results) + + # compute the average per method + methods = set(r.method for r in results) + avg = {} + for method in methods: + method_scores = [r.score for r in results if r.method == method] + avg_score = sum(method_scores) / len(method_scores) + avg[method.name] = avg_score + + return avg + + +def write_json(results, is_avg=None): + if not is_avg in [True, False]: + raise ValueError("is_avg should be either True or False") + + output = {} + if is_avg: + output = results + else: + datasets = set(r.dataset for r in results) + methods = set(r.method for r in results) + for d in datasets: + output[d.name] = {} + for m in methods: + r = next( + (r for r in results if r.dataset == d and r.method == m), + None, + ) + # intended to fail if r is None, because that shouldn't happen + output[d.name][m.name] = r.score + print(json.dumps(output, indent="\t", sort_keys=True)) + + +def write_latex(results, dim=None, is_avg=None): + if is_avg: + raise NotImplementedError( + "write_latex is not supported for is_avg = True" + ) + + methods = sorted(set(r.method.name for r in results)) + datasets = sorted(set(r.dataset.name for r in results)) + if dim == "combined": + uni_datasets = [ + d.name for d in list(Dataset) if not d in MULTIDATASETS + ] + multi_datasets = [d.name for d in MULTIDATASETS] + datasets = sorted(uni_datasets) + sorted(multi_datasets) + first_multi = sorted(multi_datasets)[0] + + textsc = lambda m: "\\textsc{%s}" % m + verb = lambda m: "\\verb+%s+" % m + + headers = ["Dataset"] + list(map(textsc, methods)) + + table = [] + for dataset in datasets: + row = [verb(dataset)] + d = Dataset(dataset) + + for method in methods: + m = Method(method) + r = next((r for r in results if r.method == m and r.dataset == d)) + row.append(r.placeholder if r.score is None else r.score) + + table.append(row) + spec = "l" + "c" * len(methods) + tex = build_latex_table(table, headers, floatfmt=".3f", table_spec=spec) + + if dim == "combined": + # add a horizontal line for these datasets + lines = tex.split("\n") + newlines = [] + for line in lines: + if line.startswith(verb(first_multi)): + newlines.append("\\hline") + newlines.append(line) + tex = "\n".join(newlines) + + print(tex) + + +def main(): + args = parse_args() + if args.type == "avg" and args.dim == "combined": + raise ValueError("Using 'avg' and 'combined' is not supported.") + + results = collect_results( + summary_dir=args.summary_dir, + metric=Metric(args.metric), + experiment=args.experiment, + ) + + if args.dim == "uni": + # filter out multi + results = list(filter(lambda r: not r.is_multidim, results)) + elif args.dim == "multi": + # filter out uni + results = list(filter(lambda r: r.is_multidim, results)) + + if args.type == "avg": + results = average_results(results) + + if args.format == "json": + write_json(results, is_avg=args.type == "avg") + else: + write_latex(results, args.dim, is_avg=args.type == "avg") + + +if __name__ == "__main__": + main() diff --git a/analysis/scripts/metrics.py b/analysis/scripts/metrics.py new file mode 100644 index 00000000..932fbb7c --- /dev/null +++ b/analysis/scripts/metrics.py @@ -0,0 +1,129 @@ +# -*- coding: utf-8 -*- + +""" +Evaluation metrics + +Author: G.J.J. van den Burg +Copyright (c) 2020 - The Alan Turing Institute +License: See the LICENSE file. + +""" + + +def true_positives(T, X, margin=5): + """Compute true positives without double counting + """ + # make a copy so we don't affect the caller + X = set(list(X)) + TP = set() + for tau in T: + close = [(abs(tau - x), x) for x in X if abs(tau - x) <= margin] + close.sort() + if not close: + continue + dist, xstar = close[0] + TP.add(tau) + X.remove(xstar) + return TP + + +def f_measure(annotations, predictions, margin=5, alpha=0.5, return_PR=False): + """Compute the F-measure based on human annotations. + + annotations : dict from user_id to iterable of CP locations + predictions : iterable of predicted CP locations + alpha : value for the F-measure, alpha=0.5 gives the F1-measure + return_PR : whether to return precision and recall too + + Remember that all CP locations are 0-based! + + """ + # ensure 0 is in all the sets + Tks = {k + 1: set(annotations[uid]) for k, uid in enumerate(annotations)} + for Tk in Tks.values(): + Tk.add(0) + + X = set(predictions) + X.add(0) + + Tstar = [tau for tau in Tk for Tk in Tks.values()] + Tstar = set(Tstar) + + K = len(Tks) + + P = len(true_positives(Tstar, X, margin=margin)) / len(X) + + TPk = {k: true_positives(Tks[k], X, margin=margin) for k in Tks} + R = 1 / K * sum(len(TPk[k]) / len(Tks[k]) for k in Tks) + + F = P * R / (alpha * R + (1 - alpha) * P) + if return_PR: + return F, P, R + return F + + +def overlap(A, B): + """ Return the overlap (i.e. Jaccard index) of two sets """ + return len(A.intersection(B)) / len(A.union(B)) + + +def partition_from_cps(locations, n_obs): + """ Return a list of sets that give a partition of the set [0, T-1], as + defined by the change point locations. + + >>> partition_from_cps([], 5) + [{0, 1, 2, 3, 4}] + >>> partition_from_cps([3, 5], 8) + [{0, 1, 2}, {3, 4}, {5, 6, 7}] + >>> partition_from_cps([1,2,7], 8) + [{0}, {1}, {2, 3, 4, 5, 6}, {7}] + >>> partition_from_cps([0, 4], 6) + [{0, 1, 2, 3}, {4, 5}] + """ + T = n_obs + partition = [] + current = set() + + all_cps = iter(sorted(set(locations))) + cp = next(all_cps, None) + for i in range(T): + if i == cp: + if current: + partition.append(current) + current = set() + cp = next(all_cps, None) + current.add(i) + partition.append(current) + return partition + + +def cover_single(Sprime, S): + """Compute the covering of a segmentation S by a segmentation Sprime. + + This follows equation (8) in Arbaleaz, 2010. + """ + T = sum(map(len, Sprime)) + assert T == sum(map(len, S)) + C = 0 + for R in S: + C += len(R) * max(overlap(R, Rprime) for Rprime in Sprime) + C /= T + return C + + +def covering(annotations, predictions, n_obs): + """Compute the average segmentation covering against the human annotations. + + annotations : dict from user_id to iterable of CP locations + predictions : iterable of predicted Cp locations + n_obs : number of observations in the series + + """ + Ak = { + k + 1: partition_from_cps(annotations[uid], n_obs) + for k, uid in enumerate(annotations) + } + pX = partition_from_cps(predictions, n_obs) + + Cs = [cover_single(pX, Ak[k]) for k in Ak] + return sum(Cs) / len(Cs) diff --git a/analysis/scripts/rank_common.py b/analysis/scripts/rank_common.py new file mode 100644 index 00000000..c47cac77 --- /dev/null +++ b/analysis/scripts/rank_common.py @@ -0,0 +1,102 @@ +# -*- coding: utf-8 -*- + +"""Shared code to do with ranks + +Author: Gertjan van den Burg +Copyright (c) 2020 - The Alan Turing Institute +License: See the LICENSE file. + +""" + +import json +import numpy as np +import sys + +from scipy.stats import rankdata + + +def load_data(filename): + with open(filename, "r") as fp: + return json.load(fp) + + +def compute_ranks(results, keep_methods=None, higher_better=True): + """Compute the ranks + + Parameters + ---------- + results : dict + Mapping from dataset name to dict, where each dict in turn is a map + from method name to a score value. + + keep_methods: list + Methods to include in the ranks + + higher_better: bool + Whether a higher or a lower value is considered better + + Returns + ------- + avg_ranks : dict + Map from method name to average rank + + all_ranks: dict + Map from dataset name to dictionary, which is in turn a map from method + name to rank for that dataset and that method. + + """ + vec_ranks = [] + all_ranks = {} + + for dset in results: + methods = results[dset].keys() + methods = sorted(methods) + + methods = [m for m in methods if m in keep_methods] + assert methods == keep_methods + + if higher_better: + values = [-results[dset][m] for m in methods] + else: + values = [results[dset][m] for m in methods] + + if any(np.isnan(v) for v in values): + print( + "Skipping dataset %s because of nans" % dset, file=sys.stderr + ) + continue + + ranks = rankdata(values, method="average") + + vec_ranks.append(ranks) + rank_dict = {m: ranks[i] for i, m in enumerate(methods)} + + all_ranks[dset] = rank_dict + + avg_ranks = np.mean(vec_ranks, axis=0) + avg_ranks = {m: r for m, r in zip(methods, avg_ranks)} + return avg_ranks, all_ranks + + +def preprocess_data(data, _type): + methods = set([m for dset in data.keys() for m in data[dset].keys()]) + methods = sorted(methods) + if _type == "best": + print( + "\nWarning: Filtering out RBOCPDMS due to insufficient results.\n", + file=sys.stderr, + ) + methods = [m for m in methods if not m == "rbocpdms"] + + data_w_methods = {} + for dset in data: + data_w_methods[dset] = {} + for method in methods: + data_w_methods[dset][method] = data[dset][method] + + data_no_missing = {} + for dset in data_w_methods: + if any((x is None for x in data_w_methods[dset].values())): + continue + data_no_missing[dset] = data_w_methods[dset] + return data_no_missing, methods diff --git a/analysis/scripts/rank_plots.py b/analysis/scripts/rank_plots.py new file mode 100644 index 00000000..c4cad16f --- /dev/null +++ b/analysis/scripts/rank_plots.py @@ -0,0 +1,151 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- + +""" +Create rank plots from best table json files. + +Author: Gertjan van den Burg +Copyright (c) 2020 - The Alan Turing Institute +License: See the LICENSE file. + +""" + +import argparse + +from labella.timeline import TimelineTex +from labella.scale import LinearScale + +from rank_common import load_data, compute_ranks, preprocess_data +from significance import reference_difference + + +def parse_args(): + parser = argparse.ArgumentParser() + parser.add_argument( + "-i", + "--input", + help="Input JSON file with results for each method", + required=True, + ) + parser.add_argument( + "-o", "--output", help="Output tex file to write to", required=True + ) + parser.add_argument( + "-b", + "--better", + help="Whether higher or lower is better", + choices=["min", "max"], + default="max", + ) + parser.add_argument( + "--type", + help="Type of table to make", + choices=["best", "default"], + required=True, + ) + return parser.parse_args() + + +def method_name(m): + m = m.split("_")[-1] + return "\\textsc{%s}" % m + + +def make_rank_plot( + results, + output_file, + keep_methods=None, + higher_better=True, + return_ranks=False, +): + methods = keep_methods[:] + avg_ranks, all_ranks = compute_ranks( + results, keep_methods=keep_methods, higher_better=higher_better + ) + plot_data = [ + {"time": rank, "text": method_name(method)} + for method, rank in avg_ranks.items() + ] + + color = "#000" + + options = { + "scale": LinearScale(), + "direction": "up", + "domain": [1, len(methods)], + "layerGap": 20, + "borderColor": "#000", + "showBorder": False, + "labelBgColor": "#fff", + "linkColor": color, + "labelTextColor": color, + "dotColor": color, + "initialWidth": 600, + "initialHeight": 75, + "latex": {"linkThickness": "thin", "reproducible": True}, + "dotRadius": 2, + "margin": {"left": 0, "bottom": 0, "right": 0, "top": 0}, + } + + tl = TimelineTex(plot_data, options=options) + texlines = tl.export() + + n_datasets = len(all_ranks) + + ref_method, CD, _ = reference_difference(avg_ranks, n_datasets) + + # we're going to insert the critical difference line after the dots + # scope,·so we first have to figure out where that is. + lines = texlines.split("\n") + idx = None + find_scope = False + for i, line in enumerate(lines): + if line.strip() == "% dots": + find_scope = True + if find_scope and "\\end{scope}" in line: + idx = i + 1 + break + + before = lines[:idx] + after = lines[idx:] + + nodes, _ = tl.compute() + bestnode = next( + (n for n in nodes if n.data.text == method_name(ref_method)), None + ) + # idealPos is the position on the axis + posBest = bestnode.getRoot().idealPos + posCD = tl.options["scale"](bestnode.data.time + CD) + + CDlines = [ + "% Critical difference", + "\\def\\posBest{%.16f}" % posBest, + "\\def\\posCD{%.16f}" % posCD, + "\\begin{scope}", + "\\draw (\\posBest, 30) -- (\\posBest, 20);", + "\\draw (\\posBest, 25) --node[below] {CD} (\\posCD, 25);", + "\\draw (\\posCD, 30) -- (\\posCD, 20);", + "\\end{scope}", + ] + + all_lines = before + [""] + CDlines + after + + with open(output_file, "w") as fp: + fp.write("\n".join(all_lines)) + + +def main(): + args = parse_args() + + higher_better = args.better == "max" + + data = load_data(args.input) + clean, methods = preprocess_data(data, args.type) + + make_rank_plot( + clean, args.output, keep_methods=methods, higher_better=higher_better + ) + + +if __name__ == "__main__": + main() diff --git a/analysis/scripts/significance.py b/analysis/scripts/significance.py new file mode 100644 index 00000000..6666306b --- /dev/null +++ b/analysis/scripts/significance.py @@ -0,0 +1,179 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- + +""" +Code to compute significant differences + +Author: Gertjan van den Burg +Copyright (c) 2020 - The Alan Turing Institute +License: See the LICENSE file. + +""" + +import argparse +import math +import scipy.stats as stats + +from tabulate import tabulate + +from rank_common import ( + load_data, + preprocess_data, + compute_ranks, +) + + +def parse_args(): + parser = argparse.ArgumentParser() + parser.add_argument("-o", "--output", help="Output basename") + parser.add_argument( + "-i", "--input", help="Input JSON file with results for each method" + ) + parser.add_argument( + "-m", + "--mode", + choices=["global", "reference"], + help="Whether to do a global difference F test or a reference test to the best performing method", + ) + parser.add_argument( + "--type", + help="Type of table to make", + choices=["best", "default"], + required=True, + ) + return parser.parse_args() + + +def global_difference(avg_ranks, n_datasets): + N = n_datasets + k = len(avg_ranks) + avg_sq_sum = sum([pow(float(avg_ranks[m]), 2.0) for m in avg_ranks]) + + chi2 = ( + 12.0 * N / (k * (k + 1)) * (avg_sq_sum - (k * pow(k + 1, 2.0) / 4.0)) + ) + chiprob = 1.0 - stats.chi2.cdf(chi2, k - 1) + + Fstat = (N - 1.0) * chi2 / (N * (k - 1) - chi2) + Fprob = 1.0 - stats.f.cdf(Fstat, k - 1, (k - 1) * (N - 1)) + + return Fstat, Fprob + + +def argmin(func, args): + m, inc = float("inf"), None + for a in args: + v = func(a) + if v < m: + m, inc = v, a + return inc + + +def reference_difference(avg_ranks, n_datasets, significance_level=0.05): + N = n_datasets + k = len(avg_ranks) + + methods = sorted(avg_ranks.keys()) + ranks = [avg_ranks[m] for m in methods] + ref_method = argmin(lambda m: avg_ranks[m], methods) + ref_idx = methods.index(ref_method) + others = [m for m in methods if not m == ref_method] + + Z_scores = [0.0] * (k - 1) + P_values = [0.0] * (k - 1) + + constant = math.sqrt(6 * N / (k * (k + 1))) + for j, method in enumerate(others): + i = methods.index(method) + Z_scores[j] = (ranks[ref_idx] - ranks[i]) * constant + P_values[j] = stats.norm.cdf(Z_scores[j]) + + # sort the p-values in ascending order + sorted_pvals = sorted((p, i) for i, p in enumerate(P_values)) + + # Calculate significance differences following Holm's procedure + significant_differences = [False] * (k - 1) + thresholds = [0] * (k - 1) + CD_threshold = None + for i in range(k - 1): + threshold = significance_level / float(k - (i + 1)) + pval, idx = sorted_pvals[i] + significant_differences[idx] = pval < threshold + thresholds[idx] = threshold + if pval > threshold and CD_threshold is None: + CD_threshold = threshold + + # Calculate the critical difference from the first threshold that failed to + # reject. This works because if the p-value would be below the threshold we + # would consider it significantly different and above the threshold we + # would not. + CD = -1 * stats.norm.ppf(CD_threshold) / constant + + txt = [ + "Number of datasets: %i" % N, + "Number of methods: %i" % k, + "Reference method: %s" % ref_method, + "Significance level: %g" % significance_level, + "", + "Reference method rank: %.6f" % avg_ranks[ref_method], + "Holm's procedure:", + ] + + table = [] + for o, p, t, s in zip( + others, P_values, thresholds, significant_differences + ): + table.append([o, avg_ranks[o], p, t, s]) + + txt.append( + tabulate( + table, + headers=["Method", "Rank", "p-Value", "Threshold", "Significant"], + ) + ) + + txt.append("") + txt.append( + "Critical difference: %.6f (at threshold = %.6f)" % (CD, CD_threshold) + ) + txt.append("") + + return ref_method, CD, txt + + +def main(): + args = parse_args() + + data = load_data(args.input) + clean, methods = preprocess_data(data, args.type) + + n_datasets = len(clean) + + avg_ranks, all_ranks = compute_ranks( + clean, keep_methods=methods, higher_better=True + ) + + if args.mode == "global": + Fstat, Fprob = global_difference(avg_ranks, n_datasets) + if args.output: + with open(args.output, "w") as fp: + fp.write("F = %.1f (p = %g)" % (Fstat, Fprob)) + else: + print("Fstat = %.2f, Fprob = %.2g" % (Fstat, Fprob)) + elif args.mode == "reference": + ref_method, CD, txt = reference_difference(avg_ranks, n_datasets) + if args.output: + outRef = args.output + "_ref.tex" + with open(outRef + "w") as fp: + fp.write(outRef + "%") + outCD = args.output + "_CD.tex" + with open(outCD + "w") as fp: + fp.write(outCD + "%") + else: + print("Reference method = %s, CD = %.2f" % (ref_method, CD)) + print("") + print("\n".join(txt)) + + +if __name__ == "__main__": + main() diff --git a/analysis/scripts/summarize.py b/analysis/scripts/summarize.py new file mode 100644 index 00000000..426976c5 --- /dev/null +++ b/analysis/scripts/summarize.py @@ -0,0 +1,178 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- + +""" +Summarize the results into a single file per dataset. + +For each dataset we want:: + + { + "dataset": "", + "dataset_nobs": N, + "dataset_ndim": N, + "annotations": { + "": [...], + "": [...], + }, + "results": { + "": [ + { + "parameters": { + "": value, + }, + "cplocations": [...], + "scores": { + "": value, + }, + "status": + }, + { + "parameters": { + "": value, + }, + "cplocations": [...], + "scores": { + "": value, + }, + "status": + }, + ], + } + } + +Basic cleanup on the change point locations will also be performed: + + - deduplication + - removal of invalid indices. Recall that indices are 0-based. We remove + any indices smaller than 1 and larger than n_obs - 2. The reason that we + don't allow 0 or n_obs - 1 (both valid endpoints) is that several + algorithms declare these locations as change points by default and they + are meaningless. + +Author: Gertjan van den Burg +Copyright (c) 2020 - The Alan Turing Institute +License: See the LICENSE file. + +""" + +import argparse +import json +import os +import sys + +from metrics import f_measure, covering + + +def parse_args(): + parser = argparse.ArgumentParser() + parser.add_argument( + "-a", + "--annotation-file", + help="Path to annotation file", + required=True, + ) + parser.add_argument( + "-d", "--dataset-file", help="Path to dataset file", required=True + ) + parser.add_argument( + "-r", "--result-dir", help="Directory of abed results", required=True + ) + parser.add_argument("-o", "--output-file", help="File to write to") + return parser.parse_args() + + +def load_json(filename): + with open(filename, "r") as fp: + try: + data = json.load(fp) + except json.decoder.JSONDecodeError: + print("Error parsing json file: %s" % filename, file=sys.stderr) + return {"error": "parsing error"} + return data + + +def load_annotations(filename, dataset): + with open(filename, "r") as fp: + data = json.load(fp) + return data[dataset] + + +def clean_cps(locations, dataset): + n_obs = dataset["n_obs"] + valid = set([x for x in locations if 1 <= x < n_obs - 1]) + return sorted(valid) + + +def main(): + args = parse_args() + + dataset = load_json(args.dataset_file) + annotations = load_annotations(args.annotation_file, dataset["name"]) + + out = { + "dataset": dataset["name"], + "dataset_nobs": dataset["n_obs"], + "dataset_ndim": dataset["n_dim"], + "annotations": annotations, + "results": {}, + } + + data_results = next( + (d for d in os.listdir(args.result_dir) if d == dataset["name"]), None + ) + if data_results is None: + print( + "Couldn't find the result directory for dataset %s" + % dataset["name"], + file=sys.stderr, + ) + raise SystemExit(1) + + dataset_dir = os.path.join(args.result_dir, data_results) + + for method in os.listdir(dataset_dir): + method_dir = os.path.join(dataset_dir, method) + for result_file in os.listdir(method_dir): + # print("Processing result file: %s" % result_file) + fname = os.path.join(method_dir, result_file) + result = load_json(fname) + if not method in out["results"]: + out["results"][method] = [] + + if result["status"].lower() == "success": + locations = clean_cps(result["result"]["cplocations"], dataset) + + f1, precision, recall = f_measure( + annotations, locations, return_PR=True + ) + n_obs = dataset["n_obs"] + cover = covering(annotations, locations, n_obs) + scores = { + "f1": f1, + "precision": precision, + "recall": recall, + "cover": cover, + } + else: + locations = None + scores = None + + out["results"][method].append( + { + "parameters": result["parameters"], + "task_file": result_file, + "cplocations": locations, + "scores": scores, + "status": result['status'], + } + ) + + if args.output_file: + with open(args.output_file, "w") as fp: + json.dump(out, fp, indent="\t") + else: + print(json.dumps(out, indent="\t")) + + +if __name__ == "__main__": + main() -- cgit v1.2.3