{"id":5888,"date":"2025-08-20T10:23:14","date_gmt":"2025-08-20T10:23:14","guid":{"rendered":"https:\/\/detralytics.com\/?p=5888"},"modified":"2025-09-22T14:43:45","modified_gmt":"2025-09-22T14:43:45","slug":"interpretability-of-machine-learning-models-in-python","status":"publish","type":"post","link":"https:\/\/detralytics.com\/fr\/learning\/data-science\/interpretability-of-machine-learning-models-in-python\/","title":{"rendered":"Interpr\u00e9tabilit\u00e9 des mod\u00e8les de machine learning \n(en Python ou R)"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"5888\" class=\"elementor elementor-5888\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ebf16b0 e-con-full e-flex e-con e-parent\" data-id=\"ebf16b0\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;shape_divider_bottom&quot;:&quot;tilt&quot;}\">\n\t\t\t\t<div class=\"elementor-shape elementor-shape-bottom\" aria-hidden=\"true\" data-negative=\"false\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 1000 100\" preserveaspectratio=\"none\">\n\t<path class=\"elementor-shape-fill\" d=\"M0,6V0h1000v100L0,6z\"\/>\n<\/svg>\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5d181db elementor-widget elementor-widget-heading\" data-id=\"5d181db\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Interpr\u00e9tabilit\u00e9 des mod\u00e8les de machine learning \n(en Python ou R)<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-69bf59b elementor-widget elementor-widget-heading\" data-id=\"69bf59b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">D. Hainaut, PhD<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4fae3a2 e-con-full e-flex e-con e-parent\" data-id=\"4fae3a2\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-ab7afb1 e-con-full e-flex e-con e-child\" data-id=\"ab7afb1\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-254f0bc elementor-widget elementor-widget-heading\" data-id=\"254f0bc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Description<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d2e84fd elementor-widget elementor-widget-text-editor\" data-id=\"d2e84fd\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"page\" title=\"Page 3\">\n<div class=\"layoutArea\">\n<div class=\"column\">\n<p class=\"p1\"><span class=\"s1\">Les mod\u00e8les de machine learning sont de puissants outils de pr\u00e9diction mais sont per\u00e7us comme des bo\u00eetes noires souffrant d\u2019un d\u00e9ficit d\u2019interpr\u00e9tabilit\u00e9. L\u2019objectif de ce cours est de couvrir les techniques d\u2019interpr\u00e9tabilit\u00e9 permettant de comprendre les relations entre les entr\u00e9es et sorties de ces algorithmes. <\/span><\/p>\n<p class=\"p1\"><span class=\"s1\">La formation  d\u00e9bute par une pr\u00e9sentation des outils d\u2019analyse globales tels que les graphes de d\u00e9pendance, les permutations et les interactions. Nous encha\u00eenons ensuite avec les m\u00e9thodes locales par mod\u00e8le agnostique et concluons avec l\u2019approche de Shapley, bas\u00e9e sur la th\u00e9orie des jeux. Le module peut \u00eatre illustr\u00e9 soit en R (IML) ou en Python (Scikit learn). L\u2019ensemble des codes \u00e9tant fournis aux participants. <\/span><\/p>\n<p class=\"p1\"><span class=\"s1\">L\u2019ensemble des codes \u00e9tant fournis aux participants.<\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-79a6580 elementor-widget elementor-widget-heading\" data-id=\"79a6580\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Programme<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d821de4 elementor-widget elementor-widget-text-editor\" data-id=\"d821de4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ol class=\"spaced-list\">\n<li>\n<p class=\"p1\"><span class=\"s1\">Graphes de d\u00e9pendance partielle<\/span><\/p>\n<\/li>\n<li>\n<p class=\"p1\"><span class=\"s1\">Importance par permutation des caract\u00e9ristiques<\/span><\/p>\n<\/li>\n<li>\n<p class=\"p1\"><span class=\"s1\">Interactions de Friedman<\/span><\/p>\n<\/li>\n<li>\n<p class=\"p1\">Mod\u00e8le de substitution globale<\/p>\n<\/li>\n<li>\n<p class=\"p1\"><span class=\"s1\">Explication locale par mod\u00e8le agnostique (LIME)<\/span><\/p>\n<\/li>\n<li>\n<p class=\"p1\"><span class=\"s1\">Valeurs de Shapley (SHAP)<\/span><\/p>\n<\/li>\n<\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7daa359 e-con-full e-flex e-con e-child\" data-id=\"7daa359\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-355647c elementor-widget elementor-widget-heading\" data-id=\"355647c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Orateur<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2a56262 elementor-widget elementor-widget-image\" data-id=\"2a56262\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"1042\" height=\"1042\" src=\"https:\/\/detralytics.com\/wp-content\/uploads\/2023\/07\/Donatien_Rond.jpg\" class=\"attachment-full size-full wp-image-2876\" alt=\"Donatien Hainaut\" srcset=\"https:\/\/detralytics.com\/wp-content\/uploads\/2023\/07\/Donatien_Rond.jpg 1042w, https:\/\/detralytics.com\/wp-content\/uploads\/2023\/07\/Donatien_Rond-768x768.jpg 768w, https:\/\/detralytics.com\/wp-content\/uploads\/2023\/07\/Donatien_Rond-146x146.jpg 146w, https:\/\/detralytics.com\/wp-content\/uploads\/2023\/07\/Donatien_Rond-50x50.jpg 50w, https:\/\/detralytics.com\/wp-content\/uploads\/2023\/07\/Donatien_Rond-75x75.jpg 75w, https:\/\/detralytics.com\/wp-content\/uploads\/2023\/07\/Donatien_Rond-85x85.jpg 85w, https:\/\/detralytics.com\/wp-content\/uploads\/2023\/07\/Donatien_Rond-80x80.jpg 80w\" sizes=\"(max-width: 1042px) 100vw, 1042px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ab825d4 elementor-widget elementor-widget-heading\" data-id=\"ab825d4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Donatien Hainaut<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d353b87 elementor-widget elementor-widget-text-editor\" data-id=\"d353b87\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><em>Conseiller Scientifique, Detralytics<\/em><br \/><em>Professeur, UCLouvain<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-0f29719 e-con-full e-flex e-con e-child\" data-id=\"0f29719\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5de7e2a elementor-widget elementor-widget-text-editor\" data-id=\"5de7e2a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><b>Date : <\/b>\u00c0 la demande<\/p>\n<p><b><\/b><b>Dur\u00e9e : <\/b>3h<\/p>\n<p><b style=\"letter-spacing: 0.3px; background-color: transparent;\">Accr\u00e9ditation :<\/b><span style=\"letter-spacing: 0.3px; background-color: transparent;\">\u00a03CPD | 18PPC<\/span><\/p>\n<p><b>Niveau :<\/b> Tout<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-678e6db e-con-full e-flex e-con e-child\" data-id=\"678e6db\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-898935e elementor-align-center elementor-widget elementor-widget-button\" data-id=\"898935e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"mailto:learning@detralytics.eu\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Introduire une demande<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-89b6347 e-con-full e-flex e-con e-parent\" data-id=\"89b6347\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-383049d elementor-widget elementor-widget-heading\" data-id=\"383049d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Comp\u00e9tences acquises<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bc0d89b elementor-widget elementor-widget-text-editor\" data-id=\"bc0d89b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"p1\"><span class=\"s1\">\u00c0 l\u2019issue de cette formation, les participants seront capables de :<\/span><\/p>\n\n<ul>\n \t<li class=\"p1\"><span class=\"s1\">Programmer et analyser des graphes de d\u00e9pendance partielle;<\/span><\/li>\n \t<li class=\"p1\">De quantifier l\u2019importance de chacune des variables;<\/li>\n \t<li class=\"p1\">De d\u00e9terminer les facteurs significatifs conduisant une pr\u00e9diction unique.<\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6d47b7c e-con-full e-flex e-con e-parent\" data-id=\"6d47b7c\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-cc3d72a elementor-widget elementor-widget-heading\" data-id=\"cc3d72a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">\u00c0 propos de notre orateur<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-224cb75 elementor-widget elementor-widget-heading\" data-id=\"224cb75\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Donatien Hainaut<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-58dff6d elementor-widget elementor-widget-text-editor\" data-id=\"58dff6d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"has-text-color has-link-color wp-elements-ae5c48d82f22f2e0c01ebb851eee595b\">Donatien Hainaut est Conseiller Scientifique chez Detralytics et Professeur \u00e0 l\u2019UCLouvain (Belgique), o\u00f9 il dirige le Master en Data Science \u00e0 orientation statistique. Auparavant, il a occup\u00e9 plusieurs postes acad\u00e9miques, notamment en tant que Professeur Associ\u00e9 \u00e0 la Rennes School of Business et \u00e0 l\u2019ENSAE \u00e0 Paris. Il poss\u00e8de \u00e9galement une solide exp\u00e9rience en entreprise, ayant travaill\u00e9 comme Risk Officer, Quantitative Analyst et ALM Officer.<\/p><p class=\"has-text-color has-link-color wp-elements-319687f5e483df5041193c0b748e25dd\">Actuaire qualifi\u00e9 et titulaire d\u2019un doctorat en Asset and Liability Management, ses recherches actuelles portent sur les m\u00e9canismes de contagion dans les processus stochastiques ainsi que sur les applications des r\u00e9seaux de neurones en assurance.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ead9557 e-con-full e-flex e-con e-parent\" data-id=\"ead9557\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-20d4992 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"20d4992\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/detralytics.com\/fr\/trainings\/#opentrainings\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-arrow-right\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M190.5 66.9l22.2-22.2c9.4-9.4 24.6-9.4 33.9 0L441 239c9.4 9.4 9.4 24.6 0 33.9L246.6 467.3c-9.4 9.4-24.6 9.4-33.9 0l-22.2-22.2c-9.5-9.5-9.3-25 .4-34.3L311.4 296H24c-13.3 0-24-10.7-24-24v-32c0-13.3 10.7-24 24-24h287.4L190.9 101.2c-9.8-9.3-10-24.8-.4-34.3z\"><\/path><\/svg>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Nos formations<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>La formation  d\u00e9bute par une pr\u00e9sentation des outils d\u2019analyse globales tels que les graphes de d\u00e9pendance, les permutations et les interactions. Nous encha\u00eenons ensuite avec les m\u00e9thodes locales par mod\u00e8le agnostique et concluons avec l\u2019approche de Shapley, bas\u00e9e sur la th\u00e9orie des jeux. Le module peut \u00eatre illustr\u00e9 soit en R (IML) ou en Python (Scikit learn). L\u2019ensemble des codes \u00e9tant fournis aux participants.<\/p>","protected":false},"author":1,"featured_media":5889,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[153],"tags":[149],"class_list":["post-5888","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-science","tag-data-science"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Training : Interpretability of Machine Learning models in Python<\/title>\n<meta name=\"description\" content=\"The aim of this course is to introduce the local and global methods analyzing relations between output and input of complex ML algorithms.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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