{"id":5901,"date":"2023-09-08T15:37:16","date_gmt":"2023-09-08T13:37:16","guid":{"rendered":"https:\/\/francestat.com\/?page_id=5901"},"modified":"2024-12-03T10:33:10","modified_gmt":"2024-12-03T09:33:10","slug":"uniwin-sco","status":"publish","type":"page","link":"https:\/\/francestat.com\/index.php\/uniwin-sco\/","title":{"rendered":"Uniwin – SCO"},"content":{"rendered":"

[vc_row][vc_column]

<\/div>

UNIWIN - Scoring<\/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

Le scoring est une technique permettant de classer des individus caract\u00e9ris\u00e9s par des variables descriptives qualitatives dans deux cat\u00e9gories pr\u00e9existantes en leur affectant un score d’appartenance.<\/p>\n

La premi\u00e8re \u00e9tape de cette technique consiste \u00e0 transformer les variables descriptives qualitatives d’origine en coordonn\u00e9es sur les axes factoriels issus d’une Analyse des Correspondances Multiples (ACM) des variables qualitatives.<\/p>\n

La deuxi\u00e8me \u00e9tape est une Analyse Factorielle Discriminante (AFD) de ces donn\u00e9es, avec une possible s\u00e9lection des axes factoriels significatifs de l’ACM. La fonction discriminante obtenue est ensuite exprim\u00e9e en fonction des indicatrices des modalit\u00e9s des variables qualitatives d’origine et les coefficients de la fonction de score sont \u00e9valu\u00e9s.<\/p>\n

L’analyse se poursuit en calculant les scores des individus, la sensibilit\u00e9, la sp\u00e9cificit\u00e9, le niveau de qualit\u00e9 ROC et l’indice de Gini pour la courbe Lift.<\/p>\n

Un rapport g\u00e9n\u00e9ral de synth\u00e8se est propos\u00e9 ainsi que des graphiques des coefficients de la fonction de score, des courbes de r\u00e9partition (avec ou sans zone d’ind\u00e9cision), des courbes de densit\u00e9, de la courbe ROC et de la courbe de Lift.<\/p>\n

Des tableaux r\u00e9sum\u00e9s et d\u00e9taill\u00e9s des classements de l’Analyse Factorielle Discriminante (AFD) et du Scoring sont calcul\u00e9s.<\/p>\n

Une option Simulation permet de visualiser l’\u00e9volution du score d’un individu en fonction des modifications de ses modalit\u00e9s.<\/p>\n

L’\u00e9tude d’une population de pr\u00e9vision est \u00e9galement propos\u00e9e.<\/p>\n

[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_single_image image=\u00a0\u00bb6426″ img_size=\u00a0\u00bblarge\u00a0\u00bb alignment=\u00a0\u00bbcenter\u00a0\u00bb][\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space height=\u00a0\u00bb5px\u00a0\u00bb][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]<\/p>\n

Tableaux<\/u><\/span><\/strong><\/p>\n\n\n<\/colgroup>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
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Variables utilis\u00e9es<\/p>\n<\/td>\n<\/tr>\n

\n

Fonction discriminante (ACM)<\/p>\n<\/td>\n<\/tr>\n

\n

Tableau des inerties (AFD)<\/p>\n<\/td>\n<\/tr>\n

\n

Test de Pillai<\/p>\n<\/td>\n<\/tr>\n

\n

Fonction discriminante (facteurs significatifs de l’ACM)<\/p>\n<\/td>\n<\/tr>\n

\n

Fonction discriminante (modalit\u00e9s des variables)<\/p>\n<\/td>\n<\/tr>\n

\n

Classement issu de l’AFD<\/p>\n<\/td>\n<\/tr>\n

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Coefficients de la fonction de score<\/p>\n<\/td>\n<\/tr>\n

\n

Coordonn\u00e9es et scores des individus<\/p>\n<\/td>\n<\/tr>\n

\n

VP, FN, FP, VN, sensibilit\u00e9, sp\u00e9cificit\u00e9<\/p>\n<\/td>\n<\/tr>\n

\n

Gains cumul\u00e9s et valeurs de Lift<\/p>\n<\/td>\n<\/tr>\n

\n

Classement issu du scoring<\/p>\n<\/td>\n<\/tr>\n

\n

Scores des individus (pr\u00e9vision)<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Graphiques<\/u><\/span><\/strong><\/p>\n\n\n<\/colgroup>\n\n\n\n\n\n\n\n\n\n
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Histogramme des coefficients de la fonction de score<\/p>\n<\/td>\n<\/tr>\n

\n

Courbes de r\u00e9partition des scores des individus (3 zones)<\/p>\n<\/td>\n<\/tr>\n

\n

Courbes de r\u00e9partition des scores des individus (2 zones)<\/p>\n<\/td>\n<\/tr>\n

\n

Courbes de r\u00e9partition des scores des individus<\/p>\n<\/td>\n<\/tr>\n

\n

Courbes de densit\u00e9 des scores des individus<\/p>\n<\/td>\n<\/tr>\n

\n

Courbe ROC<\/p>\n<\/td>\n<\/tr>\n

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Courbe des gains cumul\u00e9s<\/p>\n<\/td>\n<\/tr>\n

\n

Courbe de Lift<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][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:http%3A%2F%2Fwww.francestat.com%2Ftelecharg%2FUniwin%2Fpdf%2FScoring.pdf|title:UNIWIN%20-%20SCO\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] Le scoring est une technique permettant de classer des individus caract\u00e9ris\u00e9s par des variables descriptives qualitatives dans deux cat\u00e9gories pr\u00e9existantes en leur affectant un score d’appartenance. La premi\u00e8re \u00e9tape de cette technique consiste \u00e0 transformer les variables descriptives qualitatives d’origine en coordonn\u00e9es sur les axes factoriels issus d’une Analyse des Correspondances Multiples (ACM) des…<\/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-5901","page","type-page","status-publish","hentry","description-off"],"yoast_head":"\nUniwin - SCO - 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-sco\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Uniwin - SCO - 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] Le scoring est une technique permettant de classer des individus caract\u00e9ris\u00e9s par des variables descriptives qualitatives dans deux cat\u00e9gories pr\u00e9existantes en leur affectant un score d’appartenance. La premi\u00e8re \u00e9tape de cette technique consiste \u00e0 transformer les variables descriptives qualitatives d’origine en coordonn\u00e9es sur les axes factoriels issus d’une Analyse des Correspondances Multiples (ACM) des…\" \/>\n<meta property=\"og:url\" content=\"https:\/\/francestat.com\/index.php\/uniwin-sco\/\" \/>\n<meta property=\"og:site_name\" content=\"FRANCESTAT\" \/>\n<meta property=\"article:modified_time\" content=\"2024-12-03T09:33:10+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=\"2 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-sco\\\/\",\"url\":\"https:\\\/\\\/francestat.com\\\/index.php\\\/uniwin-sco\\\/\",\"name\":\"Uniwin - SCO - FRANCESTAT\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/francestat.com\\\/#website\"},\"datePublished\":\"2023-09-08T13:37:16+00:00\",\"dateModified\":\"2024-12-03T09:33:10+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/francestat.com\\\/index.php\\\/uniwin-sco\\\/#breadcrumb\"},\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/francestat.com\\\/index.php\\\/uniwin-sco\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/francestat.com\\\/index.php\\\/uniwin-sco\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Accueil\",\"item\":\"https:\\\/\\\/francestat.com\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Uniwin – SCO\"}]},{\"@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 - SCO - 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-sco\/","og_locale":"fr_FR","og_type":"article","og_title":"Uniwin - SCO - 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] Le scoring est une technique permettant de classer des individus caract\u00e9ris\u00e9s par des variables descriptives qualitatives dans deux cat\u00e9gories pr\u00e9existantes en leur affectant un score d’appartenance. La premi\u00e8re \u00e9tape de cette technique consiste \u00e0 transformer les variables descriptives qualitatives d’origine en coordonn\u00e9es sur les axes factoriels issus d’une Analyse des Correspondances Multiples (ACM) des…","og_url":"https:\/\/francestat.com\/index.php\/uniwin-sco\/","og_site_name":"FRANCESTAT","article_modified_time":"2024-12-03T09:33:10+00:00","twitter_card":"summary_large_image","twitter_misc":{"Dur\u00e9e de lecture estim\u00e9e":"2 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/francestat.com\/index.php\/uniwin-sco\/","url":"https:\/\/francestat.com\/index.php\/uniwin-sco\/","name":"Uniwin - SCO - FRANCESTAT","isPartOf":{"@id":"https:\/\/francestat.com\/#website"},"datePublished":"2023-09-08T13:37:16+00:00","dateModified":"2024-12-03T09:33:10+00:00","breadcrumb":{"@id":"https:\/\/francestat.com\/index.php\/uniwin-sco\/#breadcrumb"},"inLanguage":"fr-FR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/francestat.com\/index.php\/uniwin-sco\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/francestat.com\/index.php\/uniwin-sco\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Accueil","item":"https:\/\/francestat.com\/"},{"@type":"ListItem","position":2,"name":"Uniwin – SCO"}]},{"@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\/5901","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=5901"}],"version-history":[{"count":14,"href":"https:\/\/francestat.com\/index.php\/wp-json\/wp\/v2\/pages\/5901\/revisions"}],"predecessor-version":[{"id":6563,"href":"https:\/\/francestat.com\/index.php\/wp-json\/wp\/v2\/pages\/5901\/revisions\/6563"}],"wp:attachment":[{"href":"https:\/\/francestat.com\/index.php\/wp-json\/wp\/v2\/media?parent=5901"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}