{"id":6128,"date":"2021-05-24T22:20:30","date_gmt":"2021-05-24T22:20:30","guid":{"rendered":"https:\/\/bentego.com\/pega-predictive-models\/"},"modified":"2025-10-20T16:09:31","modified_gmt":"2025-10-20T16:09:31","slug":"pega-predictive-models","status":"publish","type":"post","link":"https:\/\/bentego.com\/tr\/pega-predictive-models\/","title":{"rendered":"Pega Predictive Models"},"content":{"rendered":"\n<p>Predictive analytics uses past data to find patterns and uses those patterns to predict what will likely happen in the future.<\/p>\n\n\n\n<p>A person can create predictive analysis models in Pega Prediction Studio.<\/p>\n\n\n\n<p>There are three options for creating predictive models:<\/p>\n\n\n\n<p>1. Using Pega Machine Learning. You can build a new predictive model using the proprietary Pega machine learning wizard. Import a file containing historical data and build the model in Prediction Studio. This model can then be used in decision strategies. When the decision strategies execute, the models are executed inside the Pega platform.<\/p>\n\n\n\n<figure class=\"wp-block-gallery columns-1 is-cropped wp-block-gallery-1 is-layout-flex wp-block-gallery-is-layout-flex\">\n<ul class=\"blocks-gallery-grid\">\n<li class=\"blocks-gallery-item\">\n<figure><img decoding=\"async\" class=\"wp-image-763\" src=\"https:\/\/posts.dilisim.com\/wp-content\/uploads\/2021\/05\/ozge-yazi.jpeg\" alt=\"\" data-id=\"763\" data-full-url=\"https:\/\/posts.dilisim.com\/wp-content\/uploads\/2021\/05\/ozge-yazi.jpeg\" data-link=\"https:\/\/posts.dilisim.com\/?attachment_id=763\" \/><\/figure>\n<\/li>\n<\/ul>\n<\/figure>\n\n\n\n<p><strong>Building\u00a0models\u00a0with\u00a0Pega\u00a0machine\u00a0learning<\/strong>\u00a0<\/p>\n\n\n\n<p>The\u00a0model\u00a0build\u00a0itself\u00a0consists\u00a0of 5\u00a0steps: Data\u00a0preparation, data\u00a0analysis, model\u00a0development, model\u00a0analysis,\u00a0and\u00a0model\u00a0selection.\u00a0<\/p>\n\n\n\n<p><strong>\u00a0-Create\u00a0a\u00a0predictive\u00a0model<\/strong>\u00a0<\/p>\n\n\n\n<p>Intelligence\u00a0&gt;\u00a0Prediction\u00a0Studio\u00a0&gt;\u00a0Models\u00a0&gt;\u00a0New &gt;\u00a0\u00a0Predictive\u00a0Model\u00a0<\/p>\n\n\n\n<p>In\u00a0the\u00a0New\u00a0predictive\u00a0model\u00a0dialog\u00a0box, in\u00a0the\u00a0Name\u00a0field\u00a0<\/p>\n\n\n\n<p>In\u00a0the\u00a0Category\u00a0list,\u00a0select\u00a0Retention.\u00a0<\/p>\n\n\n\n<p>In\u00a0the\u00a0Template\u00a0list,\u00a0select\u00a0Churn\u00a0Modeling.\u00a0<\/p>\n\n\n\n<p>Click\u00a0Start.\u00a0<\/p>\n\n\n\n<p>&#8211;<strong>\u00a0Prepare\u00a0the\u00a0data<\/strong>\u00a0<\/p>\n\n\n\n<p>In\u00a0the\u00a0Source\u00a0selection\u00a0section,\u00a0click\u00a0Choose\u00a0File &gt;\u00a0Check\u00a0the\u00a0data,\u00a0and\u00a0then\u00a0click\u00a0Next.\u00a0<\/p>\n\n\n\n<p>In\u00a0the\u00a0Outcome\u00a0definition\u00a0section, in\u00a0the\u00a0Model\u00a0type\u00a0list,\u00a0select\u00a0\u00a0<\/p>\n\n\n\n<p>In\u00a0the\u00a0Outcome\u00a0field\u00a0to\u00a0predict,\u00a0select\u00a0Segment.\u00a0<\/p>\n\n\n\n<p>In\u00a0the\u00a0Outcome\u00a0category\u00a0list\u00a0for\u00a0churned,\u00a0select\u00a0\u00a0<\/p>\n\n\n\n<p>In\u00a0the\u00a0Outcome\u00a0category\u00a0list\u00a0for\u00a0loyal,\u00a0select\u00a0\u00a0<\/p>\n\n\n\n<p><strong>&#8211;\u00a0Analyze\u00a0the\u00a0data<\/strong>\u00a0<\/p>\n\n\n\n<p>Data\u00a0analysis\u00a0&gt;\u00a0Click\u00a0New\u00a0virtual\u00a0field\u00a0&gt;\u00a0write function &gt;\u00a0Click\u00a0Save-close.\u00a0<\/p>\n\n\n\n<p><strong>-Develop\u00a0predictive\u00a0models<\/strong>\u00a0<\/p>\n\n\n\n<p>In\u00a0the\u00a0Model\u00a0development\u00a0section,\u00a0select\u00a0Use\u00a0best\u00a0of\u00a0each\u00a0group.\u00a0<\/p>\n\n\n\n<p>Model\u00a0Creation\u00a0&gt;\u00a0Create\u00a0Model &gt;\u00a0Decision\u00a0Tree\u00a0&gt;\u00a0Create\u00a0Model\u00a0<\/p>\n\n\n\n<p>Select\u00a0ID3 &gt;Click\u00a0Create\u00a0&gt;Examine\u00a0the\u00a0model\u00a0created\u00a0&gt;\u00a0Click\u00a0Submit\u00a0to\u00a0save\u00a0the\u00a0model.\u00a0<\/p>\n\n\n\n<p>\u00a0<br \/>\u00a0&#8211;<strong>\u00a0Analyze\u00a0the\u00a0models<\/strong>\u00a0<\/p>\n\n\n\n<p>Ensure\u00a0that\u00a0the\u00a0check\u00a0boxes\u00a0next\u00a0to\u00a0all\u00a0models\u00a0are\u00a0selected.\u00a0<\/p>\n\n\n\n<p>Click\u00a0Analyze\u00a0charts.\u00a0<\/p>\n\n\n\n<p>Select\u00a0the\u00a0Discrimination\u00a0tab\u00a0and\u00a0examine\u00a0the\u00a0results.\u00a0<\/p>\n\n\n\n<p>&nbsp;<\/p>\n\n\n\n<p>2.<strong>Importing Models<\/strong>. You can import PMML models that were built in third-party tools like R or Python. Similarly, you can import model files that have been generated in H2O.ai. H2O.ai is a modelling platform, and the procedure for using the model is similar to PMML.\u00a0<\/p>\n\n\n\n<p>\u00a0 \u00a0 \u00a0 \u00a0*PMML is an XML-based standard that is designed to facilitate the exchange of models between applications.\u00a0<\/p>\n\n\n\n<figure class=\"wp-block-gallery columns-2 is-cropped wp-block-gallery-2 is-layout-flex wp-block-gallery-is-layout-flex\">\n<ul class=\"blocks-gallery-grid\">\n<li class=\"blocks-gallery-item\">\n<figure><img decoding=\"async\" class=\"wp-image-766\" src=\"https:\/\/posts.dilisim.com\/wp-content\/uploads\/2021\/05\/WhatsApp-Image-2021-05-24-at-10.01.12.jpeg\" alt=\"\" data-id=\"766\" data-link=\"https:\/\/posts.dilisim.com\/?attachment_id=766\" \/><\/figure>\n<\/li>\n<li class=\"blocks-gallery-item\">\n<figure><img decoding=\"async\" class=\"wp-image-767\" src=\"https:\/\/posts.dilisim.com\/wp-content\/uploads\/2021\/05\/WhatsApp-Image-2021-05-24-at-10.01.12-1.jpeg\" alt=\"\" data-id=\"767\" data-full-url=\"https:\/\/posts.dilisim.com\/wp-content\/uploads\/2021\/05\/WhatsApp-Image-2021-05-24-at-10.01.12-1.jpeg\" data-link=\"https:\/\/posts.dilisim.com\/?attachment_id=767\" \/><\/figure>\n<\/li>\n<\/ul>\n<\/figure>\n\n\n\n<p><strong>&#8211;\u00a0<\/strong><strong>Import\u00a0an H2O\u00a0model<\/strong>\u00a0<\/p>\n\n\n\n<figure class=\"wp-block-gallery columns-0 is-cropped wp-block-gallery-3 is-layout-flex wp-block-gallery-is-layout-flex\"><\/figure>\n\n\n\n<p>Intelligence\u00a0&gt;\u00a0Prediction\u00a0Studio\u00a0&gt;\u00a0Models\u00a0<br \/>In\u00a0the\u00a0top\u00a0right,\u00a0click\u00a0New&gt;\u00a0Predictive\u00a0Model\u00a0<\/p>\n\n\n\n<p>In\u00a0the\u00a0New\u00a0predictive\u00a0model\u00a0dialog\u00a0box,\u00a0enter\u00a0the\u00a0following\u00a0information:\u00a0<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Name: \u2026..\u00a0<\/li>\n<li>Click\u00a0Import\u00a0model.\u00a0<\/li>\n<li>Click\u00a0Choose\u00a0File,\u00a0and\u00a0then\u00a0select\u00a0the\u00a0\u2026&#8230;.\u00a0model\u00a0file.\u00a0<\/li>\n<\/ul>\n\n\n\n<p>Next&gt;\u00a0Enter\u00a0the\u00a0Expected\u00a0performance\u00a0&gt;\u00a0Click\u00a0Import.\u00a0<\/p>\n\n\n\n<p>*On\u00a0the\u00a0Mapping\u00a0tab,\u00a0verify\u00a0that\u00a0all\u00a0predictors\u00a0of\u00a0the\u00a0model\u00a0are\u00a0correctly\u00a0mapped\u00a0to\u00a0the\u00a0fields\u00a0of\u00a0the\u00a0data model.\u00a0<\/p>\n\n\n\n<p>3.<strong>Referencing External Models.<\/strong>\u00a0In the Pega platform, you can reference a model\u00a0\u00a0on an external platform like\u00a0GoogleML\u00a0or Amazon SageMaker. In this case, the\u00a0 model itself is executed on the third-party platform, and the outcome is sent\u00a0back to Pega.\u00a0<\/p>\n\n\n\n<p>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0*Like with the Google AI Platform, you can connect to AWS SageMaker and\u00a0 run your model remotely.\u00a0<\/p>\n\n\n\n<p>When\u00a0the\u00a0decision\u00a0strategies\u00a0using\u00a0predictive\u00a0models\u00a0execute,\u00a0the\u00a0models\u00a0are\u00a0executed\u00a0inside\u00a0Pega\u00a0or\u00a0externally\u00a0by\u00a0Google ML\u00a0and\u00a0the\u00a0Amazon\u00a0SageMaker\u00a0platform.\u00a0<\/p>\n\n\n\n<p>A\u00a0predictive\u00a0model\u00a0drives\u00a0a\u00a0prediction. A data\u00a0scientist\u00a0can\u00a0replace\u00a0the\u00a0predictive\u00a0model at\u00a0any\u00a0time.\u00a0However,\u00a0the\u00a0prediction\u00a0always\u00a0predicts\u00a0the\u00a0same\u00a0outcome.\u00a0<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" class=\"wp-image-768\" src=\"https:\/\/posts.dilisim.com\/wp-content\/uploads\/2021\/05\/WhatsApp-Image-2021-05-24-at-10.01.45.jpeg\" alt=\"\" \/><\/figure>\n\n\n\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Predictive analytics uses past data to find patterns and uses those patterns to predict what will likely happen in the future. A [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":5926,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[87],"tags":[146,135,147],"class_list":["post-6128","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","tag-dilisim-tr","tag-pega-tr","tag-predictive-tr"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Pega Predictive Models - Bentego<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/bentego.com\/tr\/pega-predictive-models\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pega Predictive Models - Bentego\" \/>\n<meta property=\"og:description\" content=\"Predictive analytics uses past data to find patterns and uses those patterns to predict what will likely happen in the future. 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