{ "cells": [ { "cell_type": "markdown", "id": "d33ae32a", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# Rankings comparison\n", "\n", "This tutorial provides an overview of the use of the Scikit-Criteria ranking comparison tools.\n", "\n", "## Motivation\n", "\n", "It is interesting to note that there are many different aggregation functions \n", "(TOPSIS, WeightedSum, MOORA, etc.), which summarize multiple criteria with \n", "quite different heuristics to a single analysis dimension; if we add to \n", "this the different preprocessing (scaling, weight calculation, optimality \n", "sense transformation, etc), the approaches to compute rankings are numerous.\n", "\n", "The question then arises:\n", "\n", "> What is the best approach MCDM is the best?\n", "\n", "Or: \n", "\n", "> What defines that an approach is the best?\n", "\n", "We can think of some desirable characteristics for all decision algorithms:\n", "\n", "- Be easy to understand.\n", "- That the representation of the problem is consistent.\n", "- That at the minimum change of weights everything does not change abruptly.\n", "- That any new alternative that is incorporated does not distort the ranking \n", " too much.\n", "\n", "This ends up defining a Paradox in which\n", "\n", "> The choice of the best multi-criteria method is a multi-criteria problem.\n", "\n", "To solve this problem we can use three different options\n", "\n", "- Compare rankings manually.\n", "- Exploiting the concept of inversion of the rankings.\n", "- Sensitivity analysis.\n", "\n", "In this tutorial we will focus on the first option." ] }, { "cell_type": "markdown", "id": "497d802f", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Tools to compare rankings manually\n", "\n", "As of *Scikit-Criteria* 0.8 there is a class and a function named\n", "`cmp.RanksComparator` and `mkrank_cmp`, which consume multiple rankings and \n", "provide tools for analysis and visualization for correlation, regression and \n", "direct comparison of results.\n", "\n", "To use them we must import them from the `cmp` module." ] }, { "cell_type": "code", "execution_count": 1, "id": "5b845a2a", "metadata": {}, "outputs": [], "source": [ "from skcriteria.cmp import RanksComparator, mkrank_cmp" ] }, { "cell_type": "markdown", "id": "42ad3d8a", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Experiment setup\n", "\n", "First we need a dataset, lets use the decision-matrix extracted from from \n", "historical time series cryptocurrencies with `windows_size=7`." ] }, { "cell_type": "code", "execution_count": 2, "id": "fce03cd8", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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xRV[▲ 1.0]sRV[▼ 1.0]xVV[▲ 1.0]sVV[▼ 1.0]xR2[▲ 1.0]xm[▲ 1.0]
ADA0.0290.1568.144000e+091.586000e+100.3121.821000e-11
BNB0.0330.1676.141000e+091.118000e+100.3969.167000e-09
BTC0.0150.0972.095000e+111.388000e+110.2811.254000e-08
DOGE0.0570.3998.287000e+092.726000e+100.3271.459000e-12
ETH0.0230.1271.000000e+118.054000e+100.3131.737000e-09
LINK0.0400.1796.707000e+091.665000e+100.3191.582000e-09
LTC0.0150.1342.513000e+101.731000e+100.3201.816000e-09
XLM0.0130.1764.157000e+095.469000e+090.3211.876000e-11
XRP0.0140.1642.308000e+102.924000e+100.3227.996000e-12
\n", "
9 Alternatives x 6 Criteria\n", "
" ], "text/plain": [ " xRV[▲ 1.0] sRV[▼ 1.0] xVV[▲ 1.0] sVV[▼ 1.0] xR2[▲ 1.0] \\\n", "ADA 0.029 0.156 8.144000e+09 1.586000e+10 0.312 \n", "BNB 0.033 0.167 6.141000e+09 1.118000e+10 0.396 \n", "BTC 0.015 0.097 2.095000e+11 1.388000e+11 0.281 \n", "DOGE 0.057 0.399 8.287000e+09 2.726000e+10 0.327 \n", "ETH 0.023 0.127 1.000000e+11 8.054000e+10 0.313 \n", "LINK 0.040 0.179 6.707000e+09 1.665000e+10 0.319 \n", "LTC 0.015 0.134 2.513000e+10 1.731000e+10 0.320 \n", "XLM 0.013 0.176 4.157000e+09 5.469000e+09 0.321 \n", "XRP 0.014 0.164 2.308000e+10 2.924000e+10 0.322 \n", "\n", " xm[▲ 1.0] \n", "ADA 1.821000e-11 \n", "BNB 9.167000e-09 \n", "BTC 1.254000e-08 \n", "DOGE 1.459000e-12 \n", "ETH 1.737000e-09 \n", "LINK 1.582000e-09 \n", "LTC 1.816000e-09 \n", "XLM 1.876000e-11 \n", "XRP 7.996000e-12 \n", "[9 Alternatives x 6 Criteria]" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import skcriteria as skc\n", "\n", "dm = skc.datasets.load_van2021evaluation(windows_size=7)\n", "dm" ] }, { "cell_type": "markdown", "id": "8b745674", "metadata": {}, "source": [ "Now let's create three different options to evaluate our alternatives: \n", "One based on `WeightedSumModel`, another one based on `WeightedProductModel` \n", "and a final one using `TOPSIS`." ] }, { "cell_type": "code", "execution_count": 3, "id": "2ceb89ff", "metadata": {}, "outputs": [], "source": [ "from skcriteria.pipeline import mkpipe\n", "from skcriteria.preprocessing.invert_objectives import (\n", " InvertMinimize,\n", " NegateMinimize,\n", ")\n", "from skcriteria.preprocessing.filters import FilterNonDominated\n", "from skcriteria.preprocessing.scalers import SumScaler, VectorScaler\n", "from skcriteria.agg.simple import WeightedProductModel, WeightedSumModel\n", "from skcriteria.agg.similarity import TOPSIS\n", "\n", "ws_pipe = mkpipe(\n", " InvertMinimize(),\n", " FilterNonDominated(),\n", " SumScaler(target=\"weights\"),\n", " VectorScaler(target=\"matrix\"),\n", " WeightedSumModel(),\n", ")\n", "\n", "wp_pipe = mkpipe(\n", " InvertMinimize(),\n", " FilterNonDominated(),\n", " SumScaler(target=\"weights\"),\n", " VectorScaler(target=\"matrix\"),\n", " WeightedProductModel(),\n", ")\n", "\n", "tp_pipe = mkpipe(\n", " NegateMinimize(),\n", " FilterNonDominated(),\n", " SumScaler(target=\"weights\"),\n", " VectorScaler(target=\"matrix\"),\n", " TOPSIS(),\n", ")" ] }, { "cell_type": "markdown", "id": "6fbda509", "metadata": {}, "source": [ "Now let's run the three options and visualize the rankings" ] }, { "cell_type": "code", "execution_count": 4, "id": "f7aeda72", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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AlternativesADABNBBTCDOGEETHLINKLTCXLMXRP
Rank821735649
\n", "Method: WeightedSumModel\n", "
" ], "text/plain": [ "Alternatives ADA BNB BTC DOGE ETH LINK LTC XLM XRP\n", "Rank 8 2 1 7 3 5 6 4 9\n", "[Method: WeightedSumModel]" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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AlternativesADABNBBTCDOGEETHLINKLTCXLMXRP
Rank621935478
\n", "Method: WeightedProductModel\n", "
" ], "text/plain": [ "Alternatives ADA BNB BTC DOGE ETH LINK LTC XLM XRP\n", "Rank 6 2 1 9 3 5 4 7 8\n", "[Method: WeightedProductModel]" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
AlternativesADABNBBTCDOGEETHLINKLTCXLMXRP
Rank621853479
\n", "Method: TOPSIS\n", "
" ], "text/plain": [ "Alternatives ADA BNB BTC DOGE ETH LINK LTC XLM XRP\n", "Rank 6 2 1 8 5 3 4 7 9\n", "[Method: TOPSIS]" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "wsum_result = ws_pipe.evaluate(dm)\n", "wprod_result = wp_pipe.evaluate(dm)\n", "tp_result = tp_pipe.evaluate(dm)\n", "\n", "display(wsum_result, wprod_result, tp_result)" ] }, { "cell_type": "markdown", "id": "500ace31", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "### Creating a `RanksComparator` instance\n", "\n", "There are two ways to create the ranks comparators:\n", "\n", "1. Rither we use the `RanksComparator` class giving a sequence \n", " `[[(\"name0\", rank0), (\"name1\", rank1), ..., (\"nameN\", rankN)]`\n", " and an extra, referring to extra information about the comparator." ] }, { "cell_type": "code", "execution_count": 5, "id": "c11000c2", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "RanksComparator([(\"ts\", tp_result), (\"ws\", wsum_result), (\"wp\", wprod_result)], extra={})" ] }, { "cell_type": "markdown", "id": "009f4859", "metadata": {}, "source": [ "2. we let the names be inferred from the methods with the `mkrank_cmp()`\n", "function. In this case, the parameter \"extra\" wouldn't be necessary" ] }, { "cell_type": "code", "execution_count": 6, "id": "1b4a58b9", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "rcmp = mkrank_cmp(tp_result, wsum_result, wprod_result)\n", "rcmp" ] }, { "cell_type": "markdown", "id": "8dbf0c2e", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "### `RankComparator` utilities\n", "\n", "A set of useful statistics is provided to compare correlations, trends and \n", "covariances between the different rankings.\n", "\n", "We can start by looking at the correlations" ] }, { "cell_type": "code", "execution_count": 7, "id": "9bdb863a", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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MethodTOPSISWeightedSumModelWeightedProductModel
Method
TOPSIS1.0000000.7833330.916667
WeightedSumModel0.7833331.0000000.816667
WeightedProductModel0.9166670.8166671.000000
\n", "
" ], "text/plain": [ "Method TOPSIS WeightedSumModel WeightedProductModel\n", "Method \n", "TOPSIS 1.000000 0.783333 0.916667\n", "WeightedSumModel 0.783333 1.000000 0.816667\n", "WeightedProductModel 0.916667 0.816667 1.000000" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "rcmp.corr() # by default the pearson correlation is used\n" ] }, { "cell_type": "code", "execution_count": 8, "id": "23e33e25", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
MethodTOPSISWeightedSumModelWeightedProductModel
Method
TOPSIS1.0000000.6666670.777778
WeightedSumModel0.6666671.0000000.666667
WeightedProductModel0.7777780.6666671.000000
\n", "
" ], "text/plain": [ "Method TOPSIS WeightedSumModel WeightedProductModel\n", "Method \n", "TOPSIS 1.000000 0.666667 0.777778\n", "WeightedSumModel 0.666667 1.000000 0.666667\n", "WeightedProductModel 0.777778 0.666667 1.000000" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "rcmp.corr(method=\"kendall\") # or we can us the kendal correlation" ] }, { "cell_type": "markdown", "id": "09bd1bd5", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "Covariances are also available" ] }, { "cell_type": "code", "execution_count": 9, "id": "0da5bfe7", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
MethodTOPSISWeightedSumModelWeightedProductModel
Method
TOPSIS7.5005.8756.875
WeightedSumModel5.8757.5006.125
WeightedProductModel6.8756.1257.500
\n", "
" ], "text/plain": [ "Method TOPSIS WeightedSumModel WeightedProductModel\n", "Method \n", "TOPSIS 7.500 5.875 6.875\n", "WeightedSumModel 5.875 7.500 6.125\n", "WeightedProductModel 6.875 6.125 7.500" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "rcmp.cov()" ] }, { "cell_type": "markdown", "id": "a6a6ae89", "metadata": {}, "source": [ "And the $R^2$ score (the same as the linear regression) between rankings" ] }, { "cell_type": "code", "execution_count": 10, "id": "87652f72", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
MethodTOPSISWeightedSumModelWeightedProductModel
Method
TOPSIS1.0000000.5666670.833333
WeightedSumModel0.5666671.0000000.633333
WeightedProductModel0.8333330.6333331.000000
\n", "
" ], "text/plain": [ "Method TOPSIS WeightedSumModel WeightedProductModel\n", "Method \n", "TOPSIS 1.000000 0.566667 0.833333\n", "WeightedSumModel 0.566667 1.000000 0.633333\n", "WeightedProductModel 0.833333 0.633333 1.000000" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "rcmp.r2_score()" ] }, { "cell_type": "markdown", "id": "7d3fb6c0", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "Another thing available is to analyze how far one ranking is from the other.\n", "\n", "By default the [Hamming distance](https://en.wikipedia.org/wiki/Hamming_distance) is used, but any of the available [`scipy.spatial.distance.pdist()`](https://docs.scipy.org/doc/scipy/reference/generated/scipy.spatial.distance.pdist.html#scipy.spatial.distance.pdist) functions can be used.\n" ] }, { "cell_type": "code", "execution_count": 11, "id": "4157cdb2", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
MethodTOPSISWeightedSumModelWeightedProductModel
Method
TOPSIS0.0000000.6666670.444444
WeightedSumModel0.6666670.0000000.555556
WeightedProductModel0.4444440.5555560.000000
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" ], "text/plain": [ "Method TOPSIS WeightedSumModel WeightedProductModel\n", "Method \n", "TOPSIS 0.000000 0.666667 0.444444\n", "WeightedSumModel 0.666667 0.000000 0.555556\n", "WeightedProductModel 0.444444 0.555556 0.000000" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "rcmp.distance()" ] }, { "cell_type": "code", "execution_count": 12, "id": "bbaa3830", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
MethodTOPSISWeightedSumModelWeightedProductModel
Method
TOPSIS0.012.06.0
WeightedSumModel12.00.010.0
WeightedProductModel6.010.00.0
\n", "
" ], "text/plain": [ "Method TOPSIS WeightedSumModel WeightedProductModel\n", "Method \n", "TOPSIS 0.0 12.0 6.0\n", "WeightedSumModel 12.0 0.0 10.0\n", "WeightedProductModel 6.0 10.0 0.0" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "rcmp.distance(metric=\"cityblock\")" ] }, { "cell_type": "markdown", "id": "87a36e63", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "A distance function can also be provided" ] }, { "cell_type": "code", "execution_count": 13, "id": "ed011cbd", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
MethodTOPSISWeightedSumModelWeightedProductModel
Method
TOPSIS0.042.042.0
WeightedSumModel42.00.042.0
WeightedProductModel42.042.00.0
\n", "
" ], "text/plain": [ "Method TOPSIS WeightedSumModel WeightedProductModel\n", "Method \n", "TOPSIS 0.0 42.0 42.0\n", "WeightedSumModel 42.0 0.0 42.0\n", "WeightedProductModel 42.0 42.0 0.0" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "def my_distance(u,v,w=None):\n", " return 42\n", "\n", "rcmp.distance(metric=my_distance)" ] }, { "cell_type": "markdown", "id": "6488ac3d", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "Finally, if all this is insufficient, we can turn the comparator into a `pandasDataFrame`" ] }, { "cell_type": "code", "execution_count": 14, "id": "1a7c0a9e", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
MethodTOPSISWeightedSumModelWeightedProductModel
Alternatives
ADA686
BNB222
BTC111
DOGE879
ETH533
LINK355
LTC464
XLM747
XRP998
\n", "
" ], "text/plain": [ "Method TOPSIS WeightedSumModel WeightedProductModel\n", "Alternatives \n", "ADA 6 8 6\n", "BNB 2 2 2\n", "BTC 1 1 1\n", "DOGE 8 7 9\n", "ETH 5 3 3\n", "LINK 3 5 5\n", "LTC 4 6 4\n", "XLM 7 4 7\n", "XRP 9 9 8" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "rcmp.to_dataframe()" ] }, { "cell_type": "markdown", "id": "41dacc7a", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "### `RankComparator` Plots!\n", "\n", "The other set of analysis tools are obviously the visualization tools.\n", "\n", "A classic in the area *Ranking flows*" ] }, { "cell_type": "code", "execution_count": 15, "id": "26f4082f", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "rcmp.plot.flow();" ] }, { "cell_type": "markdown", "id": "d27d7761", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "We can also run regressions on all combinations of different rankings." ] }, { "cell_type": "code", "execution_count": 16, "id": "8ffcb988", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "rcmp.plot.reg(r2=True, r2_fmt=\".3f\");" ] }, { "cell_type": "markdown", "id": "eed1fd57", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "There are also bar plots" ] }, { "cell_type": "code", "execution_count": 17, "id": "a61841f3", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "\n", "fig, axs = plt.subplots(1, 2, figsize=(20, 5))\n", "\n", "rcmp.plot.bar(ax=axs[0]) \n", "rcmp.plot.barh(ax=axs[1]) \n", "\n", "fig.tight_layout();" ] }, { "cell_type": "markdown", "id": "25f5ec69", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "and boxplots" ] }, { "cell_type": "code", "execution_count": 18, "id": "039cb264", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, axs = plt.subplots(1, 2, figsize=(20, 5))\n", "\n", "rcmp.plot.box(ax=axs[0]) \n", "rcmp.plot.box(ax=axs[1], orient=\"h\") \n", "\n", "fig.tight_layout();" ] }, { "cell_type": "markdown", "id": "2ac475df", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "And you can visualize all matrices with statistical heatmap-like plots." ] }, { "cell_type": "code", "execution_count": 19, "id": "cc288d1f", "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, axs = plt.subplots(1, 3, figsize=(19, 7))\n", "\n", "for kind, ax in zip([\"heatmap\", \"cov\", \"corr\"], axs):\n", " rcmp.plot(kind, ax=ax)\n", " ax.set_title(kind.title())\n", "\n", "\n", "fig.tight_layout()" ] }, { "cell_type": "code", "execution_count": 20, "id": "ab58b9ca", "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, axs = plt.subplots(1, 2, figsize=(19, 7))\n", "\n", "for kind, ax in zip([\"r2_score\", \"distance\"], axs):\n", " rcmp.plot(kind, ax=ax)\n", " ax.set_title(kind.title())\n", "\n", "fig.tight_layout()" ] } ], "metadata": { "celltoolbar": "Slideshow", "kernelspec": { "display_name": "Python 3.10.6 ('skcriteria')", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.6 (main, Nov 14 2022, 16:10:14) [GCC 11.3.0]" }, "vscode": { "interpreter": { "hash": "fe6a36dc40d389c224ef9449f75590504421cf6f9ca64f7a6ea7fe0c2b9a2828" } } }, "nbformat": 4, "nbformat_minor": 5 }