{"id":26225,"date":"2017-08-08T04:23:00","date_gmt":"2017-08-08T04:23:00","guid":{"rendered":"https:\/\/www.experfy.com\/blog\/?p=26225"},"modified":"2025-09-24T08:18:19","modified_gmt":"2025-09-24T08:18:19","slug":"building-predictive-model-for-customer-churn-in-telecom","status":"publish","type":"post","link":"https:\/\/www.experfy.com\/blog\/fintech\/building-predictive-model-for-customer-churn-in-telecom\/","title":{"rendered":"Building Predictive Models for Customer Churn in Telecom"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"26225\" class=\"elementor elementor-26225\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-50905200 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"50905200\" data-element_type=\"section\" data-e-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=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-4af05587\" data-id=\"4af05587\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-58663d14 elementor-widget elementor-widget-text-editor\" data-id=\"58663d14\" 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\n<p id=\"acbb\"><em>Need Predictive Analytics Training?\u00a0<\/em><a href=\"https:\/\/training.experfy.com\/categories\/analytics\" target=\"_blank\" rel=\"noreferrer noopener\"><em>Browse courses<\/em><\/a><em>\u00a0developed by industry thought leaders and Experfy in Harvard Innovation Lab.<\/em><\/p>\n\n\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<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-5544177 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5544177\" data-element_type=\"section\" data-e-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=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-189c0f2\" data-id=\"189c0f2\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-69be0bb elementor-widget elementor-widget-heading\" data-id=\"69be0bb\" 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\"><h2 id=\"8be0\"><strong>Problem Description<\/strong><\/h2><\/h2>\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<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-b6e2396 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"b6e2396\" data-element_type=\"section\" data-e-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=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d03558a\" data-id=\"d03558a\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2b272c8 elementor-widget elementor-widget-text-editor\" data-id=\"2b272c8\" 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 id=\"84ab\">Consumers today go through a complex decision making process before subscribing to any one of the numerous Telecom service options \u2014 Voice (Prepaid, Post-Paid), Data (DSL, 3G, 4G), Voice+Data, etc. Since the services provided by the Telecom vendors are not highly differentiated and number portability is commonplace, customer loyalty becomes an issue. Hence, it is becoming increasingly important for telecommunications companies to proactively identify customers that have a tendency to unsubscribe and take preventive measures to retain such customers.<\/p>\n\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<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-be1c413 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"be1c413\" data-element_type=\"section\" data-e-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=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-9b96238\" data-id=\"9b96238\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2880d7d elementor-widget elementor-widget-text-editor\" data-id=\"2880d7d\" 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 id=\"9bc2\">The\u00a0aim of this blog post is to introduce a predictive model\u00a0<strong><em>to identify the set of customers who have a high probability of unsubscribing from the service now or in the near future<\/em>\u00a0<\/strong>using Personal Details, Demographic Information, Pricing and the Plans they have subscribed to. A secondary objective is to identify the features of the Independent Variables (also known as \u201cX\u201d or \u201cPredictors\u201d) which cause a great impact on the Dependent Variable (\u201cY\u201d or \u201cOutcome\u201d) that causes a customer to unsubscribe.<\/p>\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<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-4341dba elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4341dba\" data-element_type=\"section\" data-e-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=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-ad52b4e\" data-id=\"ad52b4e\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-48f3e16 elementor-widget elementor-widget-heading\" data-id=\"48f3e16\" 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\"><h2 id=\"0ebb\"><strong>Data Description<\/strong><\/h2><\/h2>\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<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-7e3b9d7 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"7e3b9d7\" data-element_type=\"section\" data-e-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=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3e2fde0\" data-id=\"3e2fde0\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-98408b5 elementor-widget elementor-widget-heading\" data-id=\"98408b5\" 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\"><h3 id=\"7ee8\"><strong>On the input data:<\/strong><\/h3><\/h3>\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<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-2595462 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2595462\" data-element_type=\"section\" data-e-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=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-0397718\" data-id=\"0397718\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-78f7c98 elementor-widget elementor-widget-text-editor\" data-id=\"78f7c98\" 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 id=\"5360\">6 months of data with 3 million transactions<\/p>\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<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-54f043f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"54f043f\" data-element_type=\"section\" data-e-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=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-0938220\" data-id=\"0938220\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-9438452 elementor-widget elementor-widget-text-editor\" data-id=\"9438452\" 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 id=\"493f\"><strong>Predictors \/ Independent Variables (IV) considered:<\/strong><\/p>\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<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-08fd6fb elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"08fd6fb\" data-element_type=\"section\" data-e-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=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-1f78e12\" data-id=\"1f78e12\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ba27861 elementor-widget elementor-widget-text-editor\" data-id=\"ba27861\" 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\n<ul class=\"wp-block-list\">\n<li>Customer Demographics (Age, Gender, Marital Status, Location, etc.)<\/li>\n<li>Call Statistics (Length of calls like Local, National &amp; International, etc.)<\/li>\n<li>Billing Information (what the customer paid for)<\/li>\n<li>Voice and Data Product (Broadband services, Special Data Tariffs, etc.)<\/li>\n<li>Complaints and Disputes (customer satisfaction issues and the remedial steps taken)<\/li>\n<li>Credit History<\/li>\n<\/ul>\n\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<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-dbf47ad elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"dbf47ad\" data-element_type=\"section\" data-e-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=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-a3ecbce\" data-id=\"a3ecbce\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-e07a14c elementor-widget elementor-widget-heading\" data-id=\"e07a14c\" 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\"><h3 id=\"3665\"><strong>On the output:<\/strong><\/h3><\/h3>\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<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-930ca1d elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"930ca1d\" data-element_type=\"section\" data-e-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=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-b7f7ace\" data-id=\"b7f7ace\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3f0b2cd elementor-widget elementor-widget-text-editor\" data-id=\"3f0b2cd\" 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\n<ul class=\"wp-block-list\">\n<li>Target \/ Response considered for the model:<\/li>\n<li>The value \u20181\u2019 indicates UNSUBSCRIBED customers<\/li>\n<li>The value \u20180\u2019 indicates ACTIVE customers<\/li>\n<\/ul>\n\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<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-57eb94b elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"57eb94b\" data-element_type=\"section\" data-e-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=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-373c4c3\" data-id=\"373c4c3\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-8a6b55a elementor-widget elementor-widget-text-editor\" data-id=\"8a6b55a\" 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\n<p id=\"08c0\">Note:\u00a0<em>For the sake of brevity, I am ignoring the steps taken to clean, transform, and impute the data.<\/em><\/p>\n\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<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-02e2102 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"02e2102\" data-element_type=\"section\" data-e-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=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-57c1518\" data-id=\"57c1518\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f879123 elementor-widget elementor-widget-text-editor\" data-id=\"f879123\" 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\n<p id=\"0b25\">In any Predictive Model work, the data set has to be partitioned appropriately so as to avoid overfitting\/underfitting issues amongst other things.<\/p>\n\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<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-5f371fe elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5f371fe\" data-element_type=\"section\" data-e-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=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3cdc7ac\" data-id=\"3cdc7ac\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ac34f69 elementor-widget elementor-widget-image\" data-id=\"ac34f69\" 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=\"700\" height=\"312\" src=\"https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2017\/08\/1_qr8OGqj3c_xq_fUUQuDg5Q.png\" class=\"attachment-large size-large wp-image-37487\" alt=\"\" srcset=\"https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2017\/08\/1_qr8OGqj3c_xq_fUUQuDg5Q.png 700w, https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2017\/08\/1_qr8OGqj3c_xq_fUUQuDg5Q-300x134.png 300w, https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2017\/08\/1_qr8OGqj3c_xq_fUUQuDg5Q-610x272.png 610w\" sizes=\"(max-width: 700px) 100vw, 700px\" \/>\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<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-b95d795 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"b95d795\" data-element_type=\"section\" data-e-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=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-0f009a5\" data-id=\"0f009a5\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-b8642b9 elementor-widget elementor-widget-heading\" data-id=\"b8642b9\" 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\"><h3 id=\"b843\"><strong>Prediction Accuracy &amp; Model Selection:<\/strong><\/h3>\n<\/h3>\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<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-7044261 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"7044261\" data-element_type=\"section\" data-e-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=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-bbd012d\" data-id=\"bbd012d\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-bb20074 elementor-widget elementor-widget-text-editor\" data-id=\"bb20074\" 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\n<p id=\"2cc5\">Models built on TRAINING data set are validated using the VALIDATION data set. It is common to build multiple models including ensembles and compare their performance. The model that eventually gets deployed is the one that benefits the business the most, while keeping the error rate within acceptable limits.<\/p>\n\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<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-a1a22c1 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"a1a22c1\" data-element_type=\"section\" data-e-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=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-1f6250d\" data-id=\"1f6250d\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1adfa47 elementor-widget elementor-widget-heading\" data-id=\"1adfa47\" 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\"><h3 id=\"0c3f\"><strong>Here are the 2 common error types in Churn Prediction:<\/strong><\/h3><\/h3>\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<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-b618905 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"b618905\" data-element_type=\"section\" data-e-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=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-35cac58\" data-id=\"35cac58\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2903994 elementor-widget elementor-widget-text-editor\" data-id=\"2903994\" 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\n<p id=\"3090\"><strong>Type I Error \u2014 False Negative:\u00a0<\/strong>Failing to identify a customer who has a high propensity to\u00a0<em>unsubscribe<\/em>.<\/p>\n\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<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-e0e4d0b elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"e0e4d0b\" data-element_type=\"section\" data-e-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=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-eb9ff4f\" data-id=\"eb9ff4f\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-196ec8d elementor-widget elementor-widget-text-editor\" data-id=\"196ec8d\" 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\n<p id=\"d970\">From a business perspective, this is the least desirable error as the customer is very likely to quit\/cancel\/abandon the business, thus adversely affecting its revenue.<\/p>\n\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<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-2288029 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2288029\" data-element_type=\"section\" data-e-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=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d43f0cf\" data-id=\"d43f0cf\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-49e1f6b elementor-widget elementor-widget-text-editor\" data-id=\"49e1f6b\" 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\n<p id=\"551e\"><strong>Type II Error \u2014 False Positive:\u00a0<\/strong>Classifying a good, satisfied customer as one likely to\u00a0<em>Churn<\/em>.<\/p>\n\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<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-645e1df elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"645e1df\" data-element_type=\"section\" data-e-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=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-0be1f1b\" data-id=\"0be1f1b\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-486b247 elementor-widget elementor-widget-text-editor\" data-id=\"486b247\" 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 id=\"a119\"><strong>Any Predictive Algorithm going into Production will have to be the one with the least Type I error.<\/strong><\/p>\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<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-86dd656 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"86dd656\" data-element_type=\"section\" data-e-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=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-913348e\" data-id=\"913348e\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2151bdb elementor-widget elementor-widget-text-editor\" data-id=\"2151bdb\" 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 id=\"59d2\">In our case, we used multiple algorithms on a Test data set of 300K transactions to predict Churn. Shown below are the results from the top 2 performing algorithms:<\/p>\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<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-0ef1a89 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0ef1a89\" data-element_type=\"section\" data-e-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=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3bf861e\" data-id=\"3bf861e\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2c75f93 elementor-widget elementor-widget-heading\" data-id=\"2c75f93\" 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\"><h3 id=\"adf5\"><strong>Algorithm 1: Decision Tree<\/strong><\/h3><\/h3>\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<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-ee482c0 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"ee482c0\" data-element_type=\"section\" data-e-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=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-c8ee574\" data-id=\"c8ee574\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-91f06a0 elementor-widget elementor-widget-image\" data-id=\"91f06a0\" 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 decoding=\"async\" width=\"700\" height=\"217\" src=\"https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2017\/08\/1_Fp2pB3YAl710WBwdSzIqPQ.png\" class=\"attachment-large size-large wp-image-37488\" alt=\"\" srcset=\"https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2017\/08\/1_Fp2pB3YAl710WBwdSzIqPQ.png 700w, https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2017\/08\/1_Fp2pB3YAl710WBwdSzIqPQ-300x93.png 300w, https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2017\/08\/1_Fp2pB3YAl710WBwdSzIqPQ-610x189.png 610w\" sizes=\"(max-width: 700px) 100vw, 700px\" \/>\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<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-d5dbc77 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"d5dbc77\" data-element_type=\"section\" data-e-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=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-5734c93\" data-id=\"5734c93\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1248a3a elementor-widget elementor-widget-text-editor\" data-id=\"1248a3a\" 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\n\n<p id=\"7aee\">Overall Error of Decision Tree Model = (1535+20685) \/ (31754+268246) = .074 = 7.4%<\/p>\n\n\n\n<p id=\"fef8\">Prediction Accuracy for DT = 100\u20137.4 = 92.6%<\/p>\n\n\n\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<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-7b1878d elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"7b1878d\" data-element_type=\"section\" data-e-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=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3a37be4\" data-id=\"3a37be4\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5cca1b3 elementor-widget elementor-widget-heading\" data-id=\"5cca1b3\" 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\">\n<h3 class=\"wp-block-heading\" id=\"31dc\"><strong>Algorithm 2: Neural Networks<\/strong><\/h3>\n<\/h3>\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<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-e0a68ec elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"e0a68ec\" data-element_type=\"section\" data-e-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=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-51286b6\" data-id=\"51286b6\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-611b0a9 elementor-widget elementor-widget-image\" data-id=\"611b0a9\" 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 decoding=\"async\" width=\"700\" height=\"215\" src=\"https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2017\/08\/1_iwAGrxgAXTSwMnSqGjoXHg.png\" class=\"attachment-large size-large wp-image-37489\" alt=\"\" srcset=\"https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2017\/08\/1_iwAGrxgAXTSwMnSqGjoXHg.png 700w, https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2017\/08\/1_iwAGrxgAXTSwMnSqGjoXHg-300x92.png 300w, https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2017\/08\/1_iwAGrxgAXTSwMnSqGjoXHg-610x187.png 610w\" sizes=\"(max-width: 700px) 100vw, 700px\" \/>\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<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-4710ec8 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4710ec8\" data-element_type=\"section\" data-e-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=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-680388b\" data-id=\"680388b\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f537aaf elementor-widget elementor-widget-text-editor\" data-id=\"f537aaf\" 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\n<p id=\"8a34\">Overall Error of Neural Network Model = (1633+18771) \/ (31754+268246) = .068 = 6.8%<\/p>\n\n\n\n<p id=\"3041\">Prediction Accuracy for NN = 100\u20136.8 = 93.2%<\/p>\n\n\n\n<p id=\"6809\">Though the overall error rate of Neural Network was less than that of the Decision Tree algorithm, the <a href=\"http:\/\/www.experfy.com\/blog\/ai-ml\/learning-decision-trees\/\" target=\"_blank\" rel=\"noreferrer noopener\">Decision Tree<\/a> model was chosen for deployment due the higher Type I error rate.<\/p>\n\n\n\n<p id=\"c7db\"><strong>The model was chosen based on not only Prediction Accuracy, but also the impact of Type I Error.<\/strong><\/p>\n\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<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-22dc577 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"22dc577\" data-element_type=\"section\" data-e-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=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-03b4be9\" data-id=\"03b4be9\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c4d300b elementor-widget elementor-widget-heading\" data-id=\"c4d300b\" 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\">\n<h2 class=\"wp-block-heading\" id=\"50f0\"><strong>Technology<\/strong><\/h2>\n<\/h2>\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<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-660f365 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"660f365\" data-element_type=\"section\" data-e-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=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-bf8588c\" data-id=\"bf8588c\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4591c86 elementor-widget elementor-widget-text-editor\" data-id=\"4591c86\" 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\n<p id=\"c6d7\">R was used to build, validate, and test the models with the 3 miilion transaction data set.<\/p>\n\n\n\n<p id=\"685a\">It was re-implemented in Spark\/MLLib\/Scikit-Learn\/HDFS to deal with larger datasets.<\/p>\n\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<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-4a5faa0 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4a5faa0\" data-element_type=\"section\" data-e-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=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-9ee85f1\" data-id=\"9ee85f1\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3aeccb2 elementor-widget elementor-widget-heading\" data-id=\"3aeccb2\" 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\">\n<h2 class=\"wp-block-heading\" id=\"5bf8\"><strong>Results<\/strong><\/h2>\n<\/h2>\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<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-be5b60b elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"be5b60b\" data-element_type=\"section\" data-e-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=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-9090d41\" data-id=\"9090d41\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-9e270a3 elementor-widget elementor-widget-text-editor\" data-id=\"9e270a3\" 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\n<p id=\"208c\">Model predicts the likelihood of Customer Churn with high accuracy.<\/p>\n\n\n\n<p id=\"ae7e\">Key variables that were impacting Customer Churn or causing significant impact on the \u201cY\u201d were:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Age (ages 21\u201340)<\/li>\n<li>Salary (lower salaries)<\/li>\n<li>Data Usage (those who used more data services)<\/li>\n<\/ul>\n\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<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Need Predictive Analytics Training?\u00a0Browse courses\u00a0developed by industry thought leaders and Experfy in Harvard Innovation Lab. Problem Description Consumers today go through a complex decision making process before subscribing to any one of the numerous Telecom service options \u2014 Voice (Prepaid, Post-Paid), Data (DSL, 3G, 4G), Voice+Data, etc. Since the services provided by the Telecom vendors<\/p>\n","protected":false},"author":1159,"featured_media":3858,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[192],"tags":[97,95,3999,3995,3996,3998,3997],"ppma_author":[3189],"class_list":["post-26225","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-fintech","tag-artificial-intelligence","tag-big-data-amp-technology","tag-decision-tree-algorithm","tag-predictive-models","tag-telecom-service","tag-telecom-vendors","tag-telecommunications-companies"],"authors":[{"term_id":3189,"user_id":1159,"is_guest":0,"slug":"experfy-editorial-team","display_name":"Experfy Editorial Team","avatar_url":"https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/04\/cropped-Picture1-1-150x150.png","user_url":"https:\/\/www.experfy.com\/blog","last_name":"Editorial Team","first_name":"Experfy","job_title":"","description":""}],"_links":{"self":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/26225","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/users\/1159"}],"replies":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/comments?post=26225"}],"version-history":[{"count":8,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/26225\/revisions"}],"predecessor-version":[{"id":38128,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/26225\/revisions\/38128"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/media\/3858"}],"wp:attachment":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/media?parent=26225"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/categories?post=26225"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/tags?post=26225"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/ppma_author?post=26225"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}