{"id":134414,"date":"2021-12-16T16:32:36","date_gmt":"2021-12-16T15:32:36","guid":{"rendered":"https:\/\/multi.datascientest.com\/?p=134414"},"modified":"2023-10-30T17:17:27","modified_gmt":"2023-10-30T16:17:27","slug":"que-es-la-regresion-logistica","status":"publish","type":"post","link":"https:\/\/datascientest.com\/es\/que-es-la-regresion-logistica","title":{"rendered":"\u00bfQu\u00e9 es la regresi\u00f3n log\u00edstica?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"134414\" class=\"elementor elementor-134414\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-d86ee0a elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"d86ee0a\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d287553\" data-id=\"d287553\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-41194cf elementor-widget elementor-widget-text-editor\" data-id=\"41194cf\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<h2><strong>Si te interesa, aunque sea m\u00ednimamente, el span <b>Machine Learning <\/b>y los problemas de clasificaci\u00f3n, ya has tenido que lidiar con el modelo de regresi\u00f3n log\u00edstica. \u00a1Y con raz\u00f3n! Se trata de uno de los modelos de <a href=\"https:\/\/datascientest.com\/es\/machine-learning-definicion-funcionamiento-usos\" target=\"_blank\" rel=\"noopener\">Machine Learning<\/a> m\u00e1s sencillos e interpretables que existen, toma datos a la vez continuos o discretos y los resultados obtenidos con \u00e9l son muy acertados.\u00a0<\/strong><\/h2><p><strong>Pero, \u00bfqu\u00e9 hay detr\u00e1s de ese m\u00e9todo milagroso? Y sobre todo, \u00bfc\u00f3mo utilizarlo en Python? La respuesta est\u00e1 en este art\u00edculo.<\/strong><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-3a7e72f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3a7e72f\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-b558dfd\" data-id=\"b558dfd\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-39e2900 elementor-widget elementor-widget-heading\" data-id=\"39e2900\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h3 class=\"elementor-heading-title elementor-size-default\">Definici\u00f3n<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-54d8b92 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"54d8b92\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3743641\" data-id=\"3743641\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-016b874 elementor-widget elementor-widget-text-editor\" data-id=\"016b874\" data-element_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<p><span style=\"font-weight: 400;\">La regresi\u00f3n log\u00edstica es un <\/span><b>modelo estad\u00edstico<\/b><span style=\"font-weight: 400;\"> para estudiar las relaciones entre un conjunto de <\/span><b>variables cualitativas Xi<\/b><span style=\"font-weight: 400;\"> y una <\/span><b>variable cualitativa Y<\/b><span style=\"font-weight: 400;\">. Se trata de un <\/span><b>modelo lineal<\/b><span style=\"font-weight: 400;\"> generalizado que utiliza una funci\u00f3n log\u00edstica como <\/span><b>funci\u00f3n de enlace<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">Un modelo de regresi\u00f3n log\u00edstica tambi\u00e9n permite <\/span><b>predecir la probabilidad<\/b><span style=\"font-weight: 400;\"> de que ocurra un evento (valor de 1) o no (valor de 0) a partir de la <\/span><b>optimizaci\u00f3n de los coeficientes de regresi\u00f3n<\/b><span style=\"font-weight: 400;\">. Este resultado siempre var\u00eda entre 0 y 1. Cuando el valor predicho supera un umbral, es probable que ocurra el evento, mientras que cuando ese valor est\u00e1 por debajo del mismo umbral, no es as\u00ed.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-9a20dda elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"9a20dda\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-a193b6c\" data-id=\"a193b6c\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-e311ef3 elementor-widget elementor-widget-heading\" data-id=\"e311ef3\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Matem\u00e1ticamente, \u00bfc\u00f3mo se traduce\/escribe?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-de329e8 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"de329e8\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-6e4c7e8\" data-id=\"6e4c7e8\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-8c2a677 elementor-widget elementor-widget-text-editor\" data-id=\"8c2a677\" data-element_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<p><span id=\"docs-internal-guid-57bca550-7fff-4bb7-7994-1a87349fe200\" style=\"font-weight: normal; color: #000000;\"><span style=\"font-size: 12pt; font-family: Cambria, serif; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; white-space: pre-wrap;\">Consid\u00e9rons une entr\u00e9e <\/span><span style=\"font-size: 14pt; font-family: Cambria, serif; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; white-space: pre-wrap;\">\u00a0<\/span><span style=\"font-size: 12pt; font-family: 'Cambria Math', serif; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; white-space: pre-wrap;\">X= <\/span><span style=\"font-size: 12pt; font-family: 'Cambria Math', serif; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; white-space: pre-wrap;\">x<\/span><span style=\"font-size: 12pt; font-family: 'Cambria Math', serif; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; white-space: pre-wrap;\">1<\/span> <span style=\"font-size: 12pt; font-family: 'Cambria Math', serif; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; white-space: pre-wrap;\">x<\/span><span style=\"font-size: 12pt; font-family: 'Cambria Math', serif; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; white-space: pre-wrap;\">2<\/span> <span style=\"font-size: 12pt; font-family: 'Cambria Math', serif; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; white-space: pre-wrap;\">x<\/span><span style=\"font-size: 12pt; font-family: 'Cambria Math', serif; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; white-space: pre-wrap;\">3<\/span> <span style=\"font-size: 12pt; font-family: 'Cambria Math', serif; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; white-space: pre-wrap;\">\u2026 <\/span><span style=\"font-size: 12pt; font-family: Calibri, sans-serif; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; white-space: pre-wrap;\">\u00a0<\/span><span style=\"font-size: 12pt; font-family: 'Cambria Math', serif; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; white-space: pre-wrap;\">x<\/span><span style=\"font-size: 12pt; font-family: 'Cambria Math', serif; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; white-space: pre-wrap;\">n<\/span> <span style=\"font-size: 12pt; font-family: Cambria, serif; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; white-space: pre-wrap;\">, la r\u00e9gression logistique a pour objectif de trouver une fonction <\/span><span style=\"font-size: 12pt; font-family: 'Cambria Math', serif; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; white-space: pre-wrap;\">h<\/span><span style=\"font-size: 12pt; font-family: Cambria, serif; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; white-space: pre-wrap;\"> telle que nous puissions calculer\u00a0:<\/span><\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-7d83052 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"7d83052\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-8d77ba9\" data-id=\"8d77ba9\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-aefd93f elementor-widget elementor-widget-text-editor\" data-id=\"aefd93f\" data-element_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<p style=\"text-align: center;\"><span style=\"color: #000000;\"><span style=\"font-weight: 400;\">y= <\/span><span style=\"font-weight: 400;\">{<\/span><span style=\"font-weight: 400;\">1 \u00a0 si \u00a0 <\/span><span style=\"font-weight: 400;\">h<\/span><span style=\"font-weight: 400;\">X<\/span><span style=\"font-weight: 400;\">\u2265 seuil , <\/span><span style=\"font-weight: 400;\">\u00a0<\/span><span style=\"font-weight: 400;\">0 \u00a0 si <\/span><span style=\"font-weight: 400;\">\u00a0 h<\/span><span style=\"font-weight: 400;\">X<\/span><span style=\"font-weight: 400;\">&lt; seuil} <\/span><span style=\"font-weight: 400;\">\u00a0<\/span><\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-8316e27 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"8316e27\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-05f40b0\" data-id=\"05f40b0\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6c2274e elementor-widget elementor-widget-text-editor\" data-id=\"6c2274e\" data-element_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<blockquote>Por tanto, entendemos que se espera que nuestra funci\u00f3n h sea \u200b\u200buna probabilidad entre 0 y 1, parametrada por = 1 2 3 n para optimizar, y que el umbral que definimos corresponda a nuestro criterio de clasificaci\u00f3n, por lo general se toma como igual a 0,5.\n<\/blockquote>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-371c1b9 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"371c1b9\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-8a88234\" data-id=\"8a88234\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-aaa07a9 elementor-widget elementor-widget-text-editor\" data-id=\"aaa07a9\" data-element_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<p><span style=\"font-weight: 400;\">La funci\u00f3n que mejor cumple estas condiciones es la funci\u00f3n <\/span><b>sigmoide<\/b><span style=\"font-weight: 400;\">, definida en R con valores en [0,1]. Se escribe de la siguiente manera :<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-de61c60 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"de61c60\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-1c8411e\" data-id=\"1c8411e\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4130a81 elementor-widget elementor-widget-image\" data-id=\"4130a81\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"114\" height=\"37\" src=\"https:\/\/datascientest.com\/es\/files\/2020\/10\/capture-articl.png\" class=\"attachment-large size-large wp-image-13612\" alt=\"\" \/>\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\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-94af40d elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"94af40d\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-0d0ab27\" data-id=\"0d0ab27\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3dadbaf elementor-widget elementor-widget-text-editor\" data-id=\"3dadbaf\" data-element_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<p><span style=\"font-weight: 400;\">Gr\u00e1ficamente, esto corresponde a <\/span><b>una curva en forma de S<\/b><span style=\"font-weight: 400;\"> cuyos l\u00edmites son 0 y 1 cuando x tiende respectivamente a &#8211; y + \u221e pasando por y = 0,5 en x = 0.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-cae5c10 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"cae5c10\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-fa15c59\" data-id=\"fa15c59\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-37a3baa elementor-widget elementor-widget-image\" data-id=\"37a3baa\" data-element_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<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"776\" height=\"555\" src=\"https:\/\/datascientest.com\/es\/files\/2020\/10\/image1.png\" class=\"attachment-large size-large wp-image-13258\" alt=\"fonction sigmoid\" srcset=\"https:\/\/datascientest.com\/es\/files\/2020\/10\/image1.png 776w, https:\/\/datascientest.com\/es\/files\/2020\/10\/image1-300x215.png 300w, https:\/\/datascientest.com\/es\/files\/2020\/10\/image1-768x549.png 768w\" sizes=\"(max-width: 776px) 100vw, 776px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\">Funci\u00f3n sigmoide<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-f3f6306 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"f3f6306\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-b4dce98\" data-id=\"b4dce98\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-150a6cb elementor-widget elementor-widget-heading\" data-id=\"150a6cb\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">\u00bfY nuestra clasificaci\u00f3n en todo esto?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-e913881 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"e913881\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-18ad4ca\" data-id=\"18ad4ca\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-8eccae6 elementor-widget elementor-widget-text-editor\" data-id=\"8eccae6\" data-element_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<p>La funci\u00f3n h que define la regresi\u00f3n log\u00edstica se escribe entonces :<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-3564e4e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3564e4e\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-98c8012\" data-id=\"98c8012\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ed5462b elementor-widget elementor-widget-image\" data-id=\"ed5462b\" data-element_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 decoding=\"async\" width=\"252\" height=\"154\" src=\"https:\/\/datascientest.com\/es\/files\/2020\/10\/Capture-article-2.png\" class=\"attachment-large size-large wp-image-13613\" alt=\"\" \/>\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\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-c085ca8 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"c085ca8\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-9d7508b\" data-id=\"9d7508b\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d2daaf0 elementor-widget elementor-widget-text-editor\" data-id=\"d2daaf0\" data-element_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<p><span style=\"font-weight: 400;\">Todo el <\/span><b>problema de la clasificaci\u00f3n<\/b><span style=\"font-weight: 400;\"> por regresi\u00f3n log\u00edstica aparece entonces como un simple problema de optimizaci\u00f3n en el que, a partir de los datos, tratamos de <\/span><b>obtener el mejor conjunto de par\u00e1metros \u0398<\/b><span style=\"font-weight: 400;\"> lo que permite que nuestra curva sigmoide <\/span><b>se adhiera lo mejor posible a los datos<\/b><span style=\"font-weight: 400;\">. Aqu\u00ed es donde entra el <\/span><b>Machine Learning<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">Una vez realizado este paso, as\u00ed se ver\u00eda el resultado que se puede obtener :<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-c7502c5 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"c7502c5\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-e820097\" data-id=\"e820097\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a114cb1 elementor-widget elementor-widget-image\" data-id=\"a114cb1\" data-element_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 decoding=\"async\" width=\"512\" height=\"297\" src=\"https:\/\/datascientest.com\/es\/files\/2020\/10\/unnamed-4.png\" class=\"attachment-large size-large wp-image-13307\" alt=\"\" srcset=\"https:\/\/datascientest.com\/es\/files\/2020\/10\/unnamed-4.png 512w, https:\/\/datascientest.com\/es\/files\/2020\/10\/unnamed-4-300x174.png 300w\" sizes=\"(max-width: 512px) 100vw, 512px\" \/>\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\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-341d9af elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"341d9af\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-fa6de42\" data-id=\"fa6de42\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-8e7e74f elementor-widget elementor-widget-text-editor\" data-id=\"8e7e74f\" data-element_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<blockquote><p><span style=\"font-weight: 400;\">Solo queda, una <\/span><b>vez definido<\/b><span style=\"font-weight: 400;\"> el umbral, clasificar los puntos seg\u00fan sus posiciones en relaci\u00f3n con la regresi\u00f3n y ya tenemos nuestra clasificaci\u00f3n hecha.<\/span><\/p><\/blockquote>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-982cea6 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"982cea6\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3a1ff88\" data-id=\"3a1ff88\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5fee296 elementor-widget elementor-widget-heading\" data-id=\"5fee296\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">La regresi\u00f3n log\u00edstica en la pr\u00e1ctica<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-9ec9617 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"9ec9617\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-b49d81c\" data-id=\"b49d81c\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-8ab267f elementor-widget elementor-widget-text-editor\" data-id=\"8ab267f\" data-element_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<p><span style=\"font-weight: 400;\">En<\/span><a href=\"https:\/\/datascientest.com\/es\/python-o-r-que-elegir\"> <span style=\"font-weight: 400;\">Python<\/span><\/a><span style=\"font-weight: 400;\"> es bastante sencillo, usamos la <\/span><b>clase LogisticRegression<\/b><span style=\"font-weight: 400;\"> del <\/span><b>m\u00f3dulo sklearn.linear_model<\/b><span style=\"font-weight: 400;\"> como un clasificador normal y lo entrenamos con datos ya limpios y separados en conjuntos de entrenamiento y de prueba, y <\/span><b>listo<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">En cuanto a c\u00f3digo, es bastante b\u00e1sico :\u00a0<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-92060d7 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"92060d7\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3ae71d9\" data-id=\"3ae71d9\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7366baf elementor-widget elementor-widget-shortcode\" data-id=\"7366baf\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-shortcode\"><script src=\"https:\/\/gist.github.com\/AdrienRuimy\/515a6e87f97167080cf5905a52f524a1.js\"><\/script><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-e996745 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"e996745\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-64a7980\" data-id=\"64a7980\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c435f3b elementor-widget elementor-widget-text-editor\" data-id=\"c435f3b\" data-element_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<p><em>Para aplicaciones m\u00e1s avanzadas, \u00bfpor qu\u00e9 no seguir el curso ofrecido por el equipo de DataScientest?<\/em><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-2a9adca elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2a9adca\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-e91c63e\" data-id=\"e91c63e\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-b29360f elementor-align-center elementor-widget elementor-widget-button\" data-id=\"b29360f\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"\/es\/nuestros-cursos-de-data\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Descubrir nuestros cursos de Data<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t<div class=\"elementor-element elementor-element-66a2c82 e-flex e-con-boxed e-con\" data-id=\"66a2c82\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-04cb10d elementor-widget elementor-widget-html\" data-id=\"04cb10d\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\r\n{\r\n  \"@context\": \"https:\/\/schema.org\",\r\n  \"@type\": \"FAQPage\",\r\n  \"mainEntity\": {\r\n    \"@type\": \"Question\",\r\n    \"name\": \"\u00bfQu\u00e9 es la regresi\u00f3n log\u00edstica?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"La regresi\u00f3n log\u00edstica es un modelo estad\u00edstico para estudiar las relaciones entre un conjunto de variables cualitativas Xi y una variable cualitativa Y. Se trata de un modelo lineal generalizado que utiliza una funci\u00f3n log\u00edstica como funci\u00f3n de enlace.\"\r\n    }\r\n  }\r\n}\r\n<\/script>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Si te interesa, aunque sea m\u00ednimamente, el span Machine Learning y los problemas de clasificaci\u00f3n, ya has tenido que lidiar con el modelo de regresi\u00f3n log\u00edstica. \u00a1Y con raz\u00f3n! 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