{"id":100008914,"date":"2023-09-27T09:17:43","date_gmt":"2023-09-27T07:17:43","guid":{"rendered":"https:\/\/www.reacfin.com\/?p=100008914"},"modified":"2023-12-12T10:00:47","modified_gmt":"2023-12-12T09:00:47","slug":"reacfin-presentation-explainable-machine-learning-for-actuaries","status":"publish","type":"post","link":"https:\/\/www.reacfin.com\/index.php\/2023\/09\/27\/reacfin-presentation-explainable-machine-learning-for-actuaries\/","title":{"rendered":"Reacfin Presentation : Explainable machine learning for actuaries"},"content":{"rendered":"<p>{&#8220;main-title&#8221;:{&#8220;component&#8221;:&#8221;hc_title&#8221;,&#8221;id&#8221;:&#8221;main-title&#8221;,&#8221;subtitle&#8221;:&#8221;&#8221;,&#8221;title_content&#8221;:{&#8220;component&#8221;:&#8221;hc_title_image&#8221;,&#8221;id&#8221;:&#8221;title-image&#8221;,&#8221;image&#8221;:&#8221;&#8221;,&#8221;full_screen&#8221;:false,&#8221;full_screen_height&#8221;:&#8221;&#8221;,&#8221;parallax&#8221;:false,&#8221;bleed&#8221;:&#8221;&#8221;,&#8221;ken_burn&#8221;:&#8221;&#8221;,&#8221;overlay&#8221;:&#8221;&#8221;,&#8221;breadcrumbs&#8221;:false,&#8221;white&#8221;:true},&#8221;title&#8221;:&#8221;Reacfin Presentation : Explainable machine learning for actuaries&#8221;},&#8221;section_5ZtkF&#8221;:{&#8220;component&#8221;:&#8221;hc_section&#8221;,&#8221;id&#8221;:&#8221;section_5ZtkF&#8221;,&#8221;section_width&#8221;:&#8221;&#8221;,&#8221;animation&#8221;:&#8221;&#8221;,&#8221;animation_time&#8221;:&#8221;&#8221;,&#8221;timeline_animation&#8221;:&#8221;&#8221;,&#8221;timeline_delay&#8221;:&#8221;&#8221;,&#8221;timeline_order&#8221;:&#8221;&#8221;,&#8221;vertical_row&#8221;:&#8221;&#8221;,&#8221;box_middle&#8221;:&#8221;&#8221;,&#8221;css_classes&#8221;:&#8221;&#8221;,&#8221;custom_css_classes&#8221;:&#8221;&#8221;,&#8221;custom_css_styles&#8221;:&#8221;&#8221;,&#8221;section_content&#8221;:[{&#8220;component&#8221;:&#8221;hc_column&#8221;,&#8221;id&#8221;:&#8221;column_vtfQF&#8221;,&#8221;column_width&#8221;:&#8221;col-md-12&#8243;,&#8221;animation&#8221;:&#8221;&#8221;,&#8221;animation_time&#8221;:&#8221;&#8221;,&#8221;timeline_animation&#8221;:&#8221;&#8221;,&#8221;timeline_delay&#8221;:&#8221;&#8221;,&#8221;timeline_order&#8221;:&#8221;&#8221;,&#8221;css_classes&#8221;:&#8221;&#8221;,&#8221;custom_css_classes&#8221;:&#8221;&#8221;,&#8221;custom_css_styles&#8221;:&#8221;&#8221;,&#8221;main_content&#8221;:[{&#8220;component&#8221;:&#8221;hc_text_block&#8221;,&#8221;id&#8221;:&#8221;5ZtkF&#8221;,&#8221;css_classes&#8221;:&#8221;&#8221;,&#8221;custom_css_classes&#8221;:&#8221;&#8221;,&#8221;custom_css_styles&#8221;:&#8221;&#8221;,&#8221;content&#8221;:&#8221; Whereas advanced Machine Learning (ML) techniques (e.g. random forest or neural networks) usually have a better predictive power than statistical techniques (e.g. GLM), their main drawback is that they are black-box and their results are difficult to understand or interpret.\\n\\n \\nThere are basically 2 strategies to use ML techniques in predictive modelling:\\n\\n1.       Replacing traditional models (e.g. GLM) by ML models\\n\\n2.       Combining the pros of traditional and ML models to improve predictive modelling\\n\\nThe goals of this presentation are therefore to\\n\\n-          Briefly remind some useful machine learning techniques and explain why it is difficult to interpret their results\\n\\n-          Present several techniques that have been developed in order to better understand the results of machine learning techniques\\n\\n-          Explain how these interpretation techniques can be used to implement the 2 strategies presented above and improve predictive modelling\\n\\n \\n\\nNB: This presentation was given as part of the IACA webinar \u201cExplainable machine learning for actuaries\u201d.&#8221;}]},{&#8220;component&#8221;:&#8221;hc_column&#8221;,&#8221;id&#8221;:&#8221;column_5ZtkF&#8221;,&#8221;column_width&#8221;:&#8221;col-md-6&#8243;,&#8221;animation&#8221;:&#8221;&#8221;,&#8221;animation_time&#8221;:&#8221;&#8221;,&#8221;timeline_animation&#8221;:&#8221;&#8221;,&#8221;timeline_delay&#8221;:&#8221;&#8221;,&#8221;timeline_order&#8221;:&#8221;&#8221;,&#8221;css_classes&#8221;:&#8221;&#8221;,&#8221;custom_css_classes&#8221;:&#8221;&#8221;,&#8221;custom_css_styles&#8221;:&#8221;&#8221;,&#8221;main_content&#8221;:[{&#8220;component&#8221;:&#8221;hc_space&#8221;,&#8221;id&#8221;:&#8221;xsiJV&#8221;,&#8221;css_classes&#8221;:&#8221;&#8221;,&#8221;custom_css_classes&#8221;:&#8221;&#8221;,&#8221;custom_css_styles&#8221;:&#8221;&#8221;,&#8221;size&#8221;:&#8221;m&#8221;,&#8221;height&#8221;:&#8221;&#8221;},{&#8220;component&#8221;:&#8221;hc_button&#8221;,&#8221;id&#8221;:&#8221;ZPOlZ&#8221;,&#8221;css_classes&#8221;:&#8221;&#8221;,&#8221;custom_css_classes&#8221;:&#8221;&#8221;,&#8221;custom_css_styles&#8221;:&#8221;&#8221;,&#8221;icon&#8221;:&#8221;fa 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presentation aims to remind some useful machine learning techniques, better understand the results and explain how to use these interpretation techniques to improve predictive models.<\/br\/>\\n<a class=\\\"btn btn-sm\\\" style=\\\"margin-top:10px;\\\" href=\\\"https:\/\/www.reacfin.com\/wp-content\/uploads\/2023\/10\/20230927-Explainable-machine-learning-for-actuaries.pdf\\\"><i class=\\\"fa fa fa-file-pdf-o\\\"><\/i>Download<\/a>&#8220;,&#8221;extra_1&#8243;:&#8221;&#8221;,&#8221;extra_2&#8243;:&#8221;&#8221;,&#8221;icon&#8221;:{&#8220;icon&#8221;:&#8221;&#8221;,&#8221;icon_style&#8221;:&#8221;&#8221;,&#8221;icon_image&#8221;:&#8221;&#8221;}}}}<\/p>\n","protected":false},"excerpt":{"rendered":"<p>{&#8220;main-title&#8221;:{&#8220;component&#8221;:&#8221;hc_title&#8221;,&#8221;id&#8221;:&#8221;main-title&#8221;,&#8221;subtitle&#8221;:&#8221;&#8221;,&#8221;title_content&#8221;:{&#8220;component&#8221;:&#8221;hc_title_image&#8221;,&#8221;id&#8221;:&#8221;title-image&#8221;,&#8221;image&#8221;:&#8221;&#8221;,&#8221;full_screen&#8221;:false,&#8221;full_screen_height&#8221;:&#8221;&#8221;,&#8221;parallax&#8221;:false,&#8221;bleed&#8221;:&#8221;&#8221;,&#8221;ken_burn&#8221;:&#8221;&#8221;,&#8221;overlay&#8221;:&#8221;&#8221;,&#8221;breadcrumbs&#8221;:false,&#8221;white&#8221;:true},&#8221;title&#8221;:&#8221;Reacfin Presentation : Explainable machine learning for actuaries&#8221;},&#8221;section_5ZtkF&#8221;:{&#8220;component&#8221;:&#8221;hc_section&#8221;,&#8221;id&#8221;:&#8221;section_5ZtkF&#8221;,&#8221;section_width&#8221;:&#8221;&#8221;,&#8221;animation&#8221;:&#8221;&#8221;,&#8221;animation_time&#8221;:&#8221;&#8221;,&#8221;timeline_animation&#8221;:&#8221;&#8221;,&#8221;timeline_delay&#8221;:&#8221;&#8221;,&#8221;timeline_order&#8221;:&#8221;&#8221;,&#8221;vertical_row&#8221;:&#8221;&#8221;,&#8221;box_middle&#8221;:&#8221;&#8221;,&#8221;css_classes&#8221;:&#8221;&#8221;,&#8221;custom_css_classes&#8221;:&#8221;&#8221;,&#8221;custom_css_styles&#8221;:&#8221;&#8221;,&#8221;section_content&#8221;:[{&#8220;component&#8221;:&#8221;hc_column&#8221;,&#8221;id&#8221;:&#8221;column_vtfQF&#8221;,&#8221;column_width&#8221;:&#8221;col-md-12&#8243;,&#8221;animation&#8221;:&#8221;&#8221;,&#8221;animation_time&#8221;:&#8221;&#8221;,&#8221;timeline_animation&#8221;:&#8221;&#8221;,&#8221;timeline_delay&#8221;:&#8221;&#8221;,&#8221;timeline_order&#8221;:&#8221;&#8221;,&#8221;css_classes&#8221;:&#8221;&#8221;,&#8221;custom_css_classes&#8221;:&#8221;&#8221;,&#8221;custom_css_styles&#8221;:&#8221;&#8221;,&#8221;main_content&#8221;:[{&#8220;component&#8221;:&#8221;hc_text_block&#8221;,&#8221;id&#8221;:&#8221;5ZtkF&#8221;,&#8221;css_classes&#8221;:&#8221;&#8221;,&#8221;custom_css_classes&#8221;:&#8221;&#8221;,&#8221;custom_css_styles&#8221;:&#8221;&#8221;,&#8221;content&#8221;:&#8221; Whereas advanced Machine Learning (ML) techniques (e.g. random forest or neural networks) usually have a better predictive power than statistical techniques (e.g. GLM), their main drawback is that they are black-box and their results are difficult to understand or interpret.\\n\\n \\nThere are basically 2 strategies to use [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"categories":[5,9],"tags":[],"class_list":["post-100008914","post","type-post","status-publish","format-standard","hentry","category-events","category-news"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Reacfin Presentation : Explainable machine 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