{"id":1300,"date":"2020-10-20T09:56:26","date_gmt":"2020-10-20T09:56:26","guid":{"rendered":"https:\/\/www.data-ia.fr\/?p=1300"},"modified":"2020-10-20T10:06:51","modified_gmt":"2020-10-20T10:06:51","slug":"choix-des-forets-aleatoires","status":"publish","type":"post","link":"https:\/\/www.data-ia.fr\/index.php\/2020\/10\/20\/choix-des-forets-aleatoires\/","title":{"rendered":"Choix des for\u00eats al\u00e9atoires"},"content":{"rendered":"<p><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-1 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"background-color: rgba(255,255,255,0);background-position: center center;background-repeat: no-repeat;border-width: 0px 0px 0px 0px;border-color:#eae9e9;border-style:solid;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start\" style=\"max-width:1216.8px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-0 fusion_builder_column_1_1 1_1 fusion-flex-column\"><div class=\"fusion-column-wrapper fusion-flex-justify-content-flex-start fusion-content-layout-column\" style=\"background-position:left top;background-repeat:no-repeat;-webkit-background-size:cover;-moz-background-size:cover;-o-background-size:cover;background-size:cover;padding: 0px 0px 0px 0px;\"><style type=\"text\/css\">@media only screen and (max-width:800px) {.fusion-title.fusion-title-1{margin-top:0px!important; margin-right:0px!important;margin-bottom:0px!important;margin-left:0px!important;}}@media only screen and (max-width:640px) {.fusion-title.fusion-title-1{margin-top:0px!important; margin-right:0px!important;margin-bottom:20px!important; margin-left:0px!important;}}<\/style><div class=\"fusion-title title fusion-title-1 fusion-sep-none fusion-title-center fusion-title-text fusion-title-size-one\" style=\"margin-top:0px;margin-right:0px;margin-bottom:0px;margin-left:0px;\"><h1 class=\"title-heading-center fusion-responsive-typography-calculated\" style=\"margin:0;--fontSize:58;line-height:0.83;\"><h2 style=\"text-align: center;\">Principes et fonctionnement des for\u00eats al\u00e9atoires<\/h2><\/h1><\/div><div class=\"fusion-separator fusion-full-width-sep\" style=\"align-self: center;margin-left: auto;margin-right: auto;margin-top:20px;margin-bottom:20px;width:100%;\"><div class=\"fusion-separator-border sep-double\" style=\"border-color:#e0dede;border-top-width:1px;border-bottom-width:1px;\"><\/div><\/div><\/div><style type=\"text\/css\">.fusion-body .fusion-builder-column-0{width:100% !important;margin-top : 0px;margin-bottom : 0px;}.fusion-builder-column-0 > .fusion-column-wrapper {padding-top : 0px !important;padding-right : 0px !important;margin-right : 1.92%;padding-bottom : 0px !important;padding-left : 0px !important;margin-left : 1.92%;}@media only screen and (max-width:800px) {.fusion-body .fusion-builder-column-0{width:100% !important;}.fusion-builder-column-0 > .fusion-column-wrapper {margin-right : 1.92%;margin-left : 1.92%;}}@media only screen and (max-width:640px) {.fusion-body .fusion-builder-column-0{width:100% !important;}.fusion-builder-column-0 > .fusion-column-wrapper {margin-right : 1.92%;margin-left : 1.92%;}}<\/style><\/div><\/div><style type=\"text\/css\">.fusion-body .fusion-flex-container.fusion-builder-row-1{ padding-top : 0px;margin-top : 0px;padding-right : 0px;padding-bottom : 0px;margin-bottom : 0px;padding-left : 0px;}<\/style><\/div><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-2 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"background-color: rgba(255,255,255,0);background-position: center center;background-repeat: no-repeat;border-width: 0px 0px 0px 0px;border-color:#eae9e9;border-style:solid;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start\" style=\"max-width:1216.8px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-1 fusion_builder_column_1_1 1_1 fusion-flex-column\"><div class=\"fusion-column-wrapper fusion-flex-justify-content-flex-start fusion-content-layout-column\" style=\"background-position:left top;background-repeat:no-repeat;-webkit-background-size:cover;-moz-background-size:cover;-o-background-size:cover;background-size:cover;padding: 0px 0px 0px 0px;\"><div class=\"fusion-text fusion-text-1\"><h3>Sur quelle m\u00e9thodologie sont bas\u00e9s nos algorithmes ? ETIC DATA vous parle des for\u00eats, principal moteur de ses mod\u00e8les.<\/h3>\n<\/div><\/div><style type=\"text\/css\">.fusion-body .fusion-builder-column-1{width:100% !important;margin-top : 0px;margin-bottom : 20px;}.fusion-builder-column-1 > .fusion-column-wrapper {padding-top : 0px !important;padding-right : 0px !important;margin-right : 1.92%;padding-bottom : 0px !important;padding-left : 0px !important;margin-left : 1.92%;}@media only screen and (max-width:800px) {.fusion-body .fusion-builder-column-1{width:100% !important;order : 0;}.fusion-builder-column-1 > .fusion-column-wrapper {margin-right : 1.92%;margin-left : 1.92%;}}@media only screen and (max-width:640px) {.fusion-body .fusion-builder-column-1{width:100% !important;order : 0;}.fusion-builder-column-1 > .fusion-column-wrapper {margin-right : 1.92%;margin-left : 1.92%;}}<\/style><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-2 fusion_builder_column_1_1 1_1 fusion-flex-column\"><div class=\"fusion-column-wrapper fusion-flex-justify-content-flex-start fusion-content-layout-column\" style=\"background-position:left top;background-repeat:no-repeat;-webkit-background-size:cover;-moz-background-size:cover;-o-background-size:cover;background-size:cover;padding: 0px 0px 0px 0px;\"><div class=\"fusion-text fusion-text-2\"><p><strong>Le choix du bon classifieur :<br \/>\n<\/strong>Le classifieur est le principal outil utilis\u00e9 pour effectuer les t\u00e2ches de l\u2019analytique pr\u00e9dictive. Un classifieur est une fonction math\u00e9matique qui, au vu du profil d&rsquo;un individu, va lui assigner la valeur d&rsquo;une quantit\u00e9 d&rsquo;int\u00e9r\u00eat appel\u00e9e la \u00ab\u00a0cible\u00a0\u00bb (consommateur \/non consommateur par exemple) et un score de certitude. Cette valeur cible et ce score vont permettre au d\u00e9cideur de d\u00e9terminer et de planifier les actions optimales pour cet individu.<\/p>\n<p>Il existe de nombreux classifieurs, plus d&rsquo;une centaine si on tient compte de leurs variantes, chacun ayant ses forces et ses faiblesses. Parmi les plus connus, on peut citer les r\u00e9seaux de neurones, les r\u00e9gressions logistiques, les arbres CART ou encore les for\u00eats. La s\u00e9lection du classifieur le mieux adapt\u00e9 aux objectifs d&rsquo;une situation sp\u00e9cifique est donc un v\u00e9ritable probl\u00e8me. De nombreuses consid\u00e9rations sont \u00e0 prendre en compte, allant du type de donn\u00e9es disponibles aux objectifs du d\u00e9cideur, en passant par le co\u00fbt des erreurs potentielles.<\/p>\n<p>Chez ETIC DATA, les donn\u00e9es sur lesquelles nous travaillons sont pour la plupart des donn\u00e9es concernant des clients, et nous visons \u00e0 fournir les meilleurs outils pour cerner et anticiper leurs comportements. L&rsquo;une des caract\u00e9ristiques dont nous devons tenir compte est la diversit\u00e9 des comportements humains. En effet, les femmes et les hommes changent, \u00e9voluent, r\u00e9agissent et s\u2019adaptent en fonction de leurs particularit\u00e9s. Il faut donc choisir un classifieur capable d&rsquo;extraire de ces profils complexes les marqueurs sp\u00e9cifiques, les variations subtiles et les indices cach\u00e9s qui permettent au mieux de prendre en compte ces particularit\u00e9s et d&rsquo;anticiper ces \u00e9volutions.<\/p>\n<p>Pour s\u00e9lectionner le meilleur classifieur en regard de ces objectifs, ETIC DATA, en partenariat avec le laboratoire IMAG (UMR CMRS 5149) de l\u2019Universit\u00e9 de Montpellier, a voulu comparer la pertinence des classifieurs les plus populaires. Apr\u00e8s avoir d\u00e9termin\u00e9 une liste de 13 crit\u00e8res que devraient rencontrer un \u00ab bon \u00bb classifieur, les chercheurs d&rsquo;ETIC DATA et de l&rsquo;IMAG leur ont attribu\u00e9 des notes.<\/p>\n<h3><strong>Et le gagnant est ?<\/strong><\/h3>\n<p>Avec une note de 4.5\/5 les classifieurs de type for\u00eat sont ressortis comme \u00e9tant la meilleure classe d&rsquo;algorithmes pour r\u00e9pondre aux probl\u00e9matiques clients rencontr\u00e9es, devan\u00e7ant entre autres la r\u00e9gression logistique (3.88) et les r\u00e9seaux de neurones (2.75). ETIC DATA a donc choisi d\u2019orienter ses algorithmes vers les classifieurs de type for\u00eat et leurs variantes.<\/p>\n<p>Vous pouvez retrouver l\u2019int\u00e9gralit\u00e9 de l\u2019\u00e9tude sur la page suivante : Gille R. Ducharme &#8211; CRIT\u00c8RES DE QUALIT\u00c9 D\u2019UN CLASSIFIEUR G\u00c9N\u00c9RALISTE.<\/p>\n<h3><strong>Qu\u2019est-ce qu\u2019un classifieur de type for\u00eat ?<\/strong><\/h3>\n<p>Les premiers classifieurs de type for\u00eat ont \u00e9t\u00e9 les for\u00eats al\u00e9atoires (Random Forest) introduites par Leo Breiman en 2001. Cet algorithme de machine learning est une version ensembliste des arbres CART et fait partie des m\u00e9thodes les plus pr\u00e9cises et les plus efficaces sur le march\u00e9. Un classifieur de type for\u00eat pr\u00e9sente de nombreux avantages qui ont fortement contribu\u00e9 \u00e0 leur note \u00e9lev\u00e9e lors de notre \u00e9tude comparative.<\/p>\n<h3><strong>Principaux avantages des classifieurs de type for\u00eat :<\/strong><\/h3>\n<ul>\n<li>Gestion des donn\u00e9es manquantes, massivement pr\u00e9sentes dans les bases de donn\u00e9es clients<\/li>\n<li>Gestion des donn\u00e9es de natures mixtes &#8211; quantitatives, qualitatives, ordinales \u2026 &#8211; \u00e9galement caract\u00e9ristiques des bases de donn\u00e9es rencontr\u00e9es<\/li>\n<li>Adaptation \u00e0 des probl\u00e9matiques de classification, pour pr\u00e9dire une cible cat\u00e9gorielle (client\/non-client par exemple) ou pour pr\u00e9dire une variable continue (un prix par exemple).<\/li>\n<li>Inclusion d&rsquo;informations contextuelles, comme les co\u00fbts d&rsquo;erreurs de classification, la pr\u00e9sence de niches \u00e0 faible effectif, etc.<\/li>\n<li>Production d&rsquo;une mesure de l\u2019importance des variables permettant d\u2019avoir une visibilit\u00e9 sur les variables qui influent le plus dans la mod\u00e9lisation<\/li>\n<li>Production d&rsquo;un score qui, apr\u00e8s calibration, permet de faire de l&rsquo;analytique prescriptif, principal axe de d\u00e9veloppement d\u2019ETIC DATA.<\/li>\n<\/ul>\n<\/div><\/div><style type=\"text\/css\">.fusion-body .fusion-builder-column-2{width:100% !important;margin-top : 0px;margin-bottom : 20px;}.fusion-builder-column-2 > .fusion-column-wrapper {padding-top : 0px !important;padding-right : 0px !important;margin-right : 1.92%;padding-bottom : 0px !important;padding-left : 0px !important;margin-left : 1.92%;}@media only screen and (max-width:800px) {.fusion-body .fusion-builder-column-2{width:100% !important;order : 0;}.fusion-builder-column-2 > .fusion-column-wrapper {margin-right : 1.92%;margin-left : 1.92%;}}@media only screen and (max-width:640px) {.fusion-body .fusion-builder-column-2{width:100% !important;order : 0;}.fusion-builder-column-2 > .fusion-column-wrapper {margin-right : 1.92%;margin-left : 1.92%;}}<\/style><\/div><\/div><style type=\"text\/css\">.fusion-body .fusion-flex-container.fusion-builder-row-2{ padding-top : 0px;margin-top : 30px;padding-right : 0px;padding-bottom : 0px;margin-bottom : 30px;padding-left : 0px;}<\/style><\/div><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-3 fusion-flex-container fusion-parallax-none nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"background-color: rgba(255,255,255,0);background-image: url(&quot;https:\/\/www.data-ia.fr\/wp-content\/uploads\/2020\/10\/bandeaux-page-contact-1.jpg&quot;);background-position: center center;background-repeat: no-repeat;border-width: 0px 0px 0px 0px;border-color:#eae9e9;border-style:solid;-webkit-background-size:cover;-moz-background-size:cover;-o-background-size:cover;background-size:cover;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start\" style=\"max-width:1216.8px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-3 fusion_builder_column_1_1 1_1 fusion-flex-column\"><div class=\"fusion-column-wrapper fusion-flex-justify-content-flex-start fusion-content-layout-column\" style=\"background-position:left top;background-repeat:no-repeat;-webkit-background-size:cover;-moz-background-size:cover;-o-background-size:cover;background-size:cover;padding: 0px 0px 0px 0px;\"><div class=\"fusion-text fusion-text-3\"><h3 style=\"text-align: center;\">Vous souhaitez en savoir plus sur les for\u00eats al\u00e9atoires ?<\/h3>\n<\/div><div class=\"fusion-text fusion-text-4\"><h3 style=\"text-align: center;\">LIRE LA SUITE DE L&rsquo;ARTICLE<\/h3>\n<\/div><\/div><style type=\"text\/css\">.fusion-body .fusion-builder-column-3{width:100% !important;margin-top : 0px;margin-bottom : 20px;}.fusion-builder-column-3 > .fusion-column-wrapper {padding-top : 0px !important;padding-right : 0px !important;margin-right : 1.92%;padding-bottom : 0px !important;padding-left : 0px !important;margin-left : 1.92%;}@media only screen and (max-width:800px) {.fusion-body .fusion-builder-column-3{width:100% !important;order : 0;}.fusion-builder-column-3 > .fusion-column-wrapper {margin-right : 1.92%;margin-left : 1.92%;}}@media only screen and (max-width:640px) {.fusion-body .fusion-builder-column-3{width:100% !important;order : 0;}.fusion-builder-column-3 > .fusion-column-wrapper {margin-right : 1.92%;margin-left : 1.92%;}}<\/style><\/div><\/div><style type=\"text\/css\">.fusion-body .fusion-flex-container.fusion-builder-row-3{ padding-top : 0px;margin-top : 30px;padding-right : 0px;padding-bottom : 0px;margin-bottom : 20px;padding-left : 0px;}<\/style><\/div><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-4 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"background-color: rgba(255,255,255,0);background-position: center center;background-repeat: no-repeat;border-width: 0px 0px 0px 0px;border-color:#eae9e9;border-style:solid;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start\" style=\"max-width:1216.8px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-4 fusion_builder_column_1_1 1_1 fusion-flex-column\"><div class=\"fusion-column-wrapper fusion-flex-justify-content-flex-start fusion-content-layout-column\" style=\"background-position:left top;background-repeat:no-repeat;-webkit-background-size:cover;-moz-background-size:cover;-o-background-size:cover;background-size:cover;padding: 0px 0px 0px 0px;\"><div class=\"fusion-text fusion-text-5\"><p>Un arbre de classification CART est un ensemble de r\u00e8gles ex\u00e9cut\u00e9es en s\u00e9quence qui permettent \u00e0 un prospect de voyager depuis la racine de l&rsquo;arbre au travers de n\u0153uds vers une feuille qui lui assigne une valeur de la cible (client\/non client) et un score de certitude. Les r\u00e8gles se logent dans les n\u0153uds de l&rsquo;arbre et sont de la forme : \u00ab\u00a0si telle caract\u00e9ristique du prospect est comme ceci, poursuivez dans la branche de gauche de l&rsquo;arbre, sinon dans celle de droite\u00a0\u00bb. La figure ci-dessous repr\u00e9sente un arbre permettant d\u2019attribuer la variable cible (consommateur\/non consommateur) d\u2019un individu en fonction de diverses donn\u00e9es de profil (estimation des revenus, \u00e2ge, CSP, \u2026).<\/p>\n<\/div><div style=\"text-align:center;\"><span class=\" fusion-imageframe imageframe-none imageframe-1 hover-type-none\"><img fetchpriority=\"high\" fetchpriority=\"high\" decoding=\"async\" width=\"945\" height=\"644\" title=\"image-arbre-classification\" src=\"https:\/\/www.data-ia.fr\/wp-content\/uploads\/2020\/10\/image-arbre-classification.png\" class=\"img-responsive wp-image-1307\" srcset=\"https:\/\/www.data-ia.fr\/wp-content\/uploads\/2020\/10\/image-arbre-classification-200x136.png 200w, https:\/\/www.data-ia.fr\/wp-content\/uploads\/2020\/10\/image-arbre-classification-400x273.png 400w, https:\/\/www.data-ia.fr\/wp-content\/uploads\/2020\/10\/image-arbre-classification-600x409.png 600w, https:\/\/www.data-ia.fr\/wp-content\/uploads\/2020\/10\/image-arbre-classification-800x545.png 800w, https:\/\/www.data-ia.fr\/wp-content\/uploads\/2020\/10\/image-arbre-classification.png 945w\" sizes=\"(max-width: 800px) 100vw, (max-width: 640px) 100vw, 945px\" \/><\/span><\/div><div class=\"fusion-text fusion-text-6\"><h3><strong>Limite des arbres de classification :<\/strong><\/h3>\n<p>Les arbres ont de nombreux avantages, mais ont tendance \u00e0 surajuster les donn\u00e9es, ce qui nuit \u00e0 leur pr\u00e9cision quand on les utilise en mode production. Les classifieurs de type for\u00eat sont constitu\u00e9s d&rsquo;un ensemble d&rsquo;arbres de tailles et de formes diff\u00e9rentes, qui rem\u00e9dient \u00e0 ce probl\u00e8me. De plus, ces algorithmes ont des capacit\u00e9s pr\u00e9dictives consid\u00e9rablement am\u00e9lior\u00e9es: ils donnent un taux d&rsquo;erreur en g\u00e9n\u00e9ral inf\u00e9rieur, et au pire comparable, \u00e0 celui de la plupart des autres m\u00e9thodes de classifications invent\u00e9es \u00e0 ce jour.<\/p>\n<h3><strong>Utilisation d\u2019un classifieur de type for\u00eat en production :<\/strong><\/h3>\n<p>Un prospect passe dans chacun des arbres de la for\u00eat, depuis sa racine jusqu&rsquo;\u00e0 la feuille qui lui assigne une valeur temporaire de la cible. La pr\u00e9diction finale de la for\u00eat se fait par une proc\u00e9dure de vote : la valeur ayant l&rsquo;effectif le plus \u00e9lev\u00e9 parmi les arbres d&rsquo;une for\u00eat devient la valeur d\u00e9finitivement assign\u00e9e au prospect. Il existe de nombreuses variantes des for\u00eats d&rsquo;arbres permettant de les adapter aux sp\u00e9cificit\u00e9s de chaque situation. ETIC DATA a d\u00e9velopp\u00e9 une version g\u00e9n\u00e9raliste offrant d&rsquo;excellents r\u00e9sultats dans la majorit\u00e9 des cas, avec en option la possibilit\u00e9 d&rsquo;utiliser des variantes offrant un r\u00e9glage plus fin selon les besoins.<\/p>\n<\/div><\/div><style type=\"text\/css\">.fusion-body .fusion-builder-column-4{width:100% !important;margin-top : 0px;margin-bottom : 20px;}.fusion-builder-column-4 > .fusion-column-wrapper {padding-top : 0px !important;padding-right : 0px !important;margin-right : 1.92%;padding-bottom : 0px !important;padding-left : 0px !important;margin-left : 1.92%;}@media only screen and (max-width:800px) {.fusion-body .fusion-builder-column-4{width:100% !important;order : 0;}.fusion-builder-column-4 > .fusion-column-wrapper {margin-right : 1.92%;margin-left : 1.92%;}}@media only screen and (max-width:640px) {.fusion-body .fusion-builder-column-4{width:100% !important;order : 0;}.fusion-builder-column-4 > .fusion-column-wrapper {margin-right : 1.92%;margin-left : 1.92%;}}<\/style><\/div><\/div><style type=\"text\/css\">.fusion-body .fusion-flex-container.fusion-builder-row-4{ padding-top : 0px;margin-top : 30px;padding-right : 0px;padding-bottom : 0px;margin-bottom : 30px;padding-left : 0px;}<\/style><\/div><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-5 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"background-color: #132c66;background-position: center center;background-repeat: no-repeat;border-width: 0px 0px 0px 0px;border-color:#eae9e9;border-style:solid;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start\" style=\"max-width:1216.8px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-5 fusion_builder_column_1_1 1_1 fusion-flex-column fusion-flex-align-self-flex-start fusion-column-no-min-height\"><div class=\"fusion-column-wrapper fusion-flex-justify-content-flex-start fusion-content-layout-column\" style=\"background-position:left top;background-repeat:no-repeat;-webkit-background-size:cover;-moz-background-size:cover;-o-background-size:cover;background-size:cover;padding: 0px 0px 0px 0px;\"><style type=\"text\/css\">@media only screen and (max-width:800px) {.fusion-title.fusion-title-2{margin-top:0px!important; margin-right:0px!important;margin-bottom:10px!important;margin-left:0px!important;}}@media only screen and (max-width:640px) {.fusion-title.fusion-title-2{margin-top:0px!important; margin-right:0px!important;margin-bottom:20px!important; margin-left:0px!important;}}<\/style><div class=\"fusion-title title fusion-title-2 fusion-sep-none fusion-title-center fusion-title-text fusion-title-size-three\" style=\"margin-top:0px;margin-right:0px;margin-bottom:10px;margin-left:0px;\"><h3 class=\"title-heading-center fusion-responsive-typography-calculated\" style=\"margin:0;color:#ffffff;--fontSize:22;line-height:1.36;\"><h3 style=\"text-align: center; color: #fff;\">ETIC DATA vous apporte des solutions concr\u00e8tes<br \/>\npour anticiper les mouvements de vos clients :<\/h3><\/h3><\/div><div class=\"fusion-separator fusion-full-width-sep\" style=\"align-self: center;margin-left: auto;margin-right: auto;margin-top:10px;width:100%;\"><\/div><div style=\"text-align:center;\"><style type=\"text\/css\">.fusion-button.button-1 .fusion-button-text, .fusion-button.button-1 i {color:#ffffff;}.fusion-button.button-1 .fusion-button-icon-divider{border-color:#ffffff;}.fusion-button.button-1:hover .fusion-button-text, .fusion-button.button-1:hover i,.fusion-button.button-1:focus .fusion-button-text, .fusion-button.button-1:focus i,.fusion-button.button-1:active .fusion-button-text, .fusion-button.button-1:active{color:#ffffff;}.fusion-button.button-1:hover .fusion-button-icon-divider, .fusion-button.button-1:hover .fusion-button-icon-divider, .fusion-button.button-1:active .fusion-button-icon-divider{border-color:#ffffff;}.fusion-button.button-1:hover, .fusion-button.button-1:focus, .fusion-button.button-1:active{border-color:#ffffff;border-width:0px;}.fusion-button.button-1 {border-color:#ffffff;border-width:0px;border-radius:2px;}.fusion-button.button-1{background: #7858dd;}.fusion-button.button-1:hover,.button-1:focus,.fusion-button.button-1:active{background: #7858dd;}<\/style><a class=\"fusion-button button-flat button-xlarge button-custom button-1 fusion-button-default-span \" target=\"_self\" href=\"https:\/\/www.data-ia.fr\/contact\/\"><span class=\"fusion-button-text\">CONTACTEZ-NOUS<\/span><\/a><\/div><\/div><style type=\"text\/css\">.fusion-body .fusion-builder-column-5{width:100% !important;margin-top : 0px;margin-bottom : 0px;}.fusion-builder-column-5 > .fusion-column-wrapper {padding-top : 0px !important;padding-right : 0px !important;margin-right : 0%;padding-bottom : 0px !important;padding-left : 0px 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