{"id":5957,"date":"2023-09-08T16:53:55","date_gmt":"2023-09-08T14:53:55","guid":{"rendered":"https:\/\/francestat.com\/?page_id=5957"},"modified":"2026-03-30T11:48:43","modified_gmt":"2026-03-30T09:48:43","slug":"uniwin-arbre","status":"publish","type":"page","link":"https:\/\/francestat.com\/index.php\/uniwin-arbre\/","title":{"rendered":"Uniwin – ARBRE"},"content":{"rendered":"

[vc_row][vc_column]

<\/div>

UNIWIN - Arbres de d\u00e9cision et de r\u00e9gression<\/h2><\/div><\/div>[\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]<\/p>\n

Les arbres de d\u00e9cision et de r\u00e9gression sont des m\u00e9thodes permettant d\u2019obtenir des mod\u00e8les explicatifs et pr\u00e9dictifs. Ils sont faciles \u00e0 comprendre du fait de l\u2019affichage des r\u00e9sultats sous la forme d\u2019arbres et de la g\u00e9n\u00e9ration d\u2019un ensemble de r\u00e8gles en langage naturel. Les arbres de d\u00e9cision (classement) permettent d\u2019expliquer et de pr\u00e9voir l\u2019appartenance d\u2019observations \u00e0 une classe d\u2019une variable qualitative en se basant sur un ensemble de variables explicatives quantitatives et qualitatives. Les arbres de r\u00e9gression permettent d\u2019expliquer et de pr\u00e9voir la valeur prise par une variable quantitative \u00e0 expliquer en fonction de variables explicatives quantitatives et qualitatives.<\/p>\n

La proc\u00e9dure propose l\u2019\u00e9tude des jeux d\u2019apprentissage, de validation et de pr\u00e9vision. Un rapport g\u00e9n\u00e9ral de synth\u00e8se est propos\u00e9 ainsi que les graphiques des coefficients de complexit\u00e9, de l\u2019importance des variables, des arbres complet et \u00e9lagu\u00e9, de la courbe ROC (d\u00e9cision), des valeurs estim\u00e9es par rapport aux valeurs observ\u00e9es (r\u00e9gression) et des r\u00e9sidus par rapport aux valeurs estim\u00e9es (r\u00e9gression).<\/p>\n

Cette proc\u00e9dure est bas\u00e9e sur les packages R ‘rpart’ et ‘rpart.plot’.<\/p>\n

[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_single_image image=\u00a0\u00bb6446″ img_size=\u00a0\u00bblarge\u00a0\u00bb alignment=\u00a0\u00bbcenter\u00a0\u00bb style=\u00a0\u00bbvc_box_border\u00a0\u00bb][\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space height=\u00a0\u00bb5px\u00a0\u00bb][vc_column_text]Tableaux<\/strong><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Coefficients de complexit\u00e9<\/td>\n<\/tr>\n
R\u00e9sultats pour l’arbre complet<\/td>\n<\/tr>\n
R\u00e8gles pour l’arbre complet<\/td>\n<\/tr>\n
Importances des variables explicatives<\/td>\n<\/tr>\n
R\u00e9sultats pour l’arbre \u00e9lagu\u00e9<\/td>\n<\/tr>\n
R\u00e8gles pour l’arbre \u00e9lagu\u00e9<\/td>\n<\/tr>\n
D\u00e9tails du classement pour les jeux d’apprentissage et de validation (d\u00e9cision)<\/td>\n<\/tr>\n
Matrices de confusion pour les jeux d’apprentissage et de validation (d\u00e9cision)<\/td>\n<\/tr>\n
Sensibilit\u00e9s, sp\u00e9cificit\u00e9s pour les jeux d’apprentissage et de validation (d\u00e9cision)<\/td>\n<\/tr>\n
D\u00e9tails du classement pour le jeu de pr\u00e9vision (d\u00e9cision)<\/td>\n<\/tr>\n
Valeurs observ\u00e9es, estim\u00e9es et r\u00e9sidus pour les jeux d’apprentissage et de validation (r\u00e9gression)<\/td>\n<\/tr>\n
Valeurs estim\u00e9es pour le jeu de pr\u00e9vision (r\u00e9gression)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Graphiques<\/strong><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
Graphique des coefficients de complexit\u00e9<\/td>\n<\/tr>\n
Graphique de l’importance des variables explicatives<\/td>\n<\/tr>\n
Graphique de l’arbre complet de d\u00e9cision ou de r\u00e9gression<\/td>\n<\/tr>\n
Graphique de l’arbre \u00e9lagu\u00e9 de d\u00e9cision ou de r\u00e9gression<\/td>\n<\/tr>\n
Nuages de points pour les jeux d’apprentissage, de validation et de pr\u00e9vision<\/td>\n<\/tr>\n
Graphique des fronti\u00e8res pour les jeux d’apprentissage et de validation<\/td>\n<\/tr>\n
Graphiques des matrices de confusion pour les jeux d’apprentissage et de validation (d\u00e9cision)<\/td>\n<\/tr>\n
Courbes ROC pour les jeux d’apprentissage et de validation (d\u00e9cision)<\/td>\n<\/tr>\n
Graphique des valeurs estim\u00e9es vs observ\u00e9es pour les jeux d’apprentissage et la validation (r\u00e9gression)<\/td>\n<\/tr>\n
Graphique des r\u00e9sidus vs valeurs estim\u00e9es pour les jeux d’apprentissage et la validation (r\u00e9gression)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

[\/vc_column_text][vc_empty_space height=\u00a0\u00bb5px\u00a0\u00bb][\/vc_column][\/vc_row][vc_row][vc_column][vc_btn title=\u00a0\u00bbConsulter la documentation compl\u00e8te\u00a0\u00bb align=\u00a0\u00bbcenter\u00a0\u00bb link=\u00a0\u00bburl:https%3A%2F%2Fwww.francestat.com%2Ftelecharg%2FUniwin%2Fpdf%2FArbres%2520de%2520d%25e9cision%2520et%2520de%2520r%25e9gression.pdf|title:UNIWIN%20-%20ARBRE\u00a0\u00bb][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"

[vc_row][vc_column][\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text] Les arbres de d\u00e9cision et de r\u00e9gression sont des m\u00e9thodes permettant d\u2019obtenir des mod\u00e8les explicatifs et pr\u00e9dictifs. Ils sont faciles \u00e0 comprendre du fait de l\u2019affichage des r\u00e9sultats sous la forme d\u2019arbres et de la g\u00e9n\u00e9ration d\u2019un ensemble de r\u00e8gles en langage naturel. Les arbres de d\u00e9cision (classement) permettent d\u2019expliquer et de pr\u00e9voir l\u2019appartenance…<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-5957","page","type-page","status-publish","hentry","description-off"],"yoast_head":"\nUniwin - ARBRE - FRANCESTAT<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/francestat.com\/index.php\/uniwin-arbre\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Uniwin - ARBRE - FRANCESTAT\" \/>\n<meta property=\"og:description\" content=\"[vc_row][vc_column][\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text] Les arbres de d\u00e9cision et de r\u00e9gression sont des m\u00e9thodes permettant d\u2019obtenir des mod\u00e8les explicatifs et pr\u00e9dictifs. Ils sont faciles \u00e0 comprendre du fait de l\u2019affichage des r\u00e9sultats sous la forme d\u2019arbres et de la g\u00e9n\u00e9ration d\u2019un ensemble de r\u00e8gles en langage naturel. Les arbres de d\u00e9cision (classement) permettent d\u2019expliquer et de pr\u00e9voir l\u2019appartenance…\" \/>\n<meta property=\"og:url\" content=\"https:\/\/francestat.com\/index.php\/uniwin-arbre\/\" \/>\n<meta property=\"og:site_name\" content=\"FRANCESTAT\" \/>\n<meta property=\"article:modified_time\" content=\"2026-03-30T09:48:43+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data1\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/francestat.com\\\/index.php\\\/uniwin-arbre\\\/\",\"url\":\"https:\\\/\\\/francestat.com\\\/index.php\\\/uniwin-arbre\\\/\",\"name\":\"Uniwin - ARBRE - FRANCESTAT\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/francestat.com\\\/#website\"},\"datePublished\":\"2023-09-08T14:53:55+00:00\",\"dateModified\":\"2026-03-30T09:48:43+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/francestat.com\\\/index.php\\\/uniwin-arbre\\\/#breadcrumb\"},\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/francestat.com\\\/index.php\\\/uniwin-arbre\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/francestat.com\\\/index.php\\\/uniwin-arbre\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Accueil\",\"item\":\"https:\\\/\\\/francestat.com\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Uniwin – ARBRE\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/francestat.com\\\/#website\",\"url\":\"https:\\\/\\\/francestat.com\\\/\",\"name\":\"FRANCESTAT\",\"description\":\"Logiciels, formations et services statistiques\",\"publisher\":{\"@id\":\"https:\\\/\\\/francestat.com\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/francestat.com\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"fr-FR\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/francestat.com\\\/#organization\",\"name\":\"FRANCESTAT\",\"url\":\"https:\\\/\\\/francestat.com\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\\\/\\\/francestat.com\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/francestat.com\\\/wp-content\\\/uploads\\\/2018\\\/05\\\/logo_horizontal_small_francestat.jpg\",\"contentUrl\":\"https:\\\/\\\/francestat.com\\\/wp-content\\\/uploads\\\/2018\\\/05\\\/logo_horizontal_small_francestat.jpg\",\"width\":155,\"height\":51,\"caption\":\"FRANCESTAT\"},\"image\":{\"@id\":\"https:\\\/\\\/francestat.com\\\/#\\\/schema\\\/logo\\\/image\\\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Uniwin - ARBRE - FRANCESTAT","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/francestat.com\/index.php\/uniwin-arbre\/","og_locale":"fr_FR","og_type":"article","og_title":"Uniwin - ARBRE - FRANCESTAT","og_description":"[vc_row][vc_column][\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text] Les arbres de d\u00e9cision et de r\u00e9gression sont des m\u00e9thodes permettant d\u2019obtenir des mod\u00e8les explicatifs et pr\u00e9dictifs. 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Les arbres de d\u00e9cision (classement) permettent d\u2019expliquer et de pr\u00e9voir l\u2019appartenance…","og_url":"https:\/\/francestat.com\/index.php\/uniwin-arbre\/","og_site_name":"FRANCESTAT","article_modified_time":"2026-03-30T09:48:43+00:00","twitter_card":"summary_large_image","twitter_misc":{"Dur\u00e9e de lecture estim\u00e9e":"3 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/francestat.com\/index.php\/uniwin-arbre\/","url":"https:\/\/francestat.com\/index.php\/uniwin-arbre\/","name":"Uniwin - ARBRE - FRANCESTAT","isPartOf":{"@id":"https:\/\/francestat.com\/#website"},"datePublished":"2023-09-08T14:53:55+00:00","dateModified":"2026-03-30T09:48:43+00:00","breadcrumb":{"@id":"https:\/\/francestat.com\/index.php\/uniwin-arbre\/#breadcrumb"},"inLanguage":"fr-FR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/francestat.com\/index.php\/uniwin-arbre\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/francestat.com\/index.php\/uniwin-arbre\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Accueil","item":"https:\/\/francestat.com\/"},{"@type":"ListItem","position":2,"name":"Uniwin – ARBRE"}]},{"@type":"WebSite","@id":"https:\/\/francestat.com\/#website","url":"https:\/\/francestat.com\/","name":"FRANCESTAT","description":"Logiciels, formations et services statistiques","publisher":{"@id":"https:\/\/francestat.com\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/francestat.com\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"fr-FR"},{"@type":"Organization","@id":"https:\/\/francestat.com\/#organization","name":"FRANCESTAT","url":"https:\/\/francestat.com\/","logo":{"@type":"ImageObject","inLanguage":"fr-FR","@id":"https:\/\/francestat.com\/#\/schema\/logo\/image\/","url":"https:\/\/francestat.com\/wp-content\/uploads\/2018\/05\/logo_horizontal_small_francestat.jpg","contentUrl":"https:\/\/francestat.com\/wp-content\/uploads\/2018\/05\/logo_horizontal_small_francestat.jpg","width":155,"height":51,"caption":"FRANCESTAT"},"image":{"@id":"https:\/\/francestat.com\/#\/schema\/logo\/image\/"}}]}},"_links":{"self":[{"href":"https:\/\/francestat.com\/index.php\/wp-json\/wp\/v2\/pages\/5957","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/francestat.com\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/francestat.com\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/francestat.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/francestat.com\/index.php\/wp-json\/wp\/v2\/comments?post=5957"}],"version-history":[{"count":20,"href":"https:\/\/francestat.com\/index.php\/wp-json\/wp\/v2\/pages\/5957\/revisions"}],"predecessor-version":[{"id":7173,"href":"https:\/\/francestat.com\/index.php\/wp-json\/wp\/v2\/pages\/5957\/revisions\/7173"}],"wp:attachment":[{"href":"https:\/\/francestat.com\/index.php\/wp-json\/wp\/v2\/media?parent=5957"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}