{"id":178527,"date":"2024-03-21T19:25:11","date_gmt":"2024-03-21T18:25:11","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=178527"},"modified":"2024-02-13T20:40:13","modified_gmt":"2024-02-13T19:40:13","slug":"stability-index-a-tool-for-assessing-ml-models","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/stability-index-a-tool-for-assessing-ml-models","title":{"rendered":"Stability index: A tool for assessing ML models"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"178527\" class=\"elementor elementor-178527\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-19de77f e-flex e-con-boxed e-con\" data-id=\"19de77f\" 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-7d58558 elementor-widget elementor-widget-heading\" data-id=\"7d58558\" 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><h2 class=\"elementor-heading-title elementor-size-default\">The stability index is used to assess the reliability of Machine Learning models. Find out everything you need to know about this tool, and how to use it!<\/h2>\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<div class=\"elementor-element elementor-element-004a151 e-flex e-con-boxed e-con\" data-id=\"004a151\" 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-b5e03cb elementor-widget elementor-widget-text-editor\" data-id=\"b5e03cb\" 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<p><a href=\"https:\/\/datascientest.com\/en\/machine-learning-engineer-bootcamp-why-is-it-interesting\">In the field of Machine Learning<\/a>, the reliability and robustness of Machine Learning models are crucial.<\/p><p>Even in the presence of variations or perturbations in the input data, the models must be able to provide consistent and accurate predictions.<\/p><p>To assess the performance and resilience of models in the face of challenges, there is fortunately a powerful tool: <strong>the stability index.<\/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\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-79a1b0a e-flex e-con-boxed e-con\" data-id=\"79a1b0a\" 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-b8f8dbd elementor-widget elementor-widget-heading\" data-id=\"b8f8dbd\" 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\">What is the stability index?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7463e72 elementor-widget elementor-widget-text-editor\" data-id=\"7463e72\" 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>This is a <strong>quantitative measure<\/strong> used to assess the stability of a Machine Learning model. The aim is to provide information about the model&#8217;s ability to maintain consistent performance in the face of variations in the data.<\/p><p>More specifically, it measures the variation in the model&#8217;s performance when applied to similar but slightly different data sets.<\/p><p>This enables the <strong>robustness of the model to be assessed<\/strong>, as well as its ability to generalise results.<\/p><p>Various methods can be used to calculate this index. These include bootstrapping and <a href=\"https:\/\/datascientest.com\/en\/the-importance-of-cross-validation\">cross-validation.<\/a><\/p><p>These approaches involve creating training and test data sets from available data, introducing random or <strong>systematic variations.<\/strong><\/p><p>The model is then trained and evaluated on each data set and performance is measured. The<strong> stability index<\/strong> is obtained by analysing <a href=\"https:\/\/datascientest.com\/en\/datasets-top-5-places-to-find-quality-datasets\">their dispersion over the different datasets.<\/a><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-97f332b elementor-widget elementor-widget-image\" data-id=\"97f332b\" 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<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/06\/indice-de-stabilite-ml-modele1.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/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<div class=\"elementor-element elementor-element-bfc8aab elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"bfc8aab\" 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-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/machine-learning-engineer-course\">\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\">Learn all about the stability index<\/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\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-45dbb96 e-flex e-con-boxed e-con\" data-id=\"45dbb96\" 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-fb790f5 elementor-widget elementor-widget-heading\" data-id=\"fb790f5\" 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\">A model selection tool<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-08dda7e elementor-widget elementor-widget-text-editor\" data-id=\"08dda7e\" 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>The<strong> stability index<\/strong> is very useful for model selection: an <a href=\"https:\/\/datascientest.com\/en\/automl-and-machine-learning-automation-a-threat-to-data-scientists\">essential step in Machine Learning and Data Science.<\/a><\/p><p>It can be used to compare the performance of models and select the one with the best stability for a specific task.<\/p><p>In fact, a stable model is less likely to give divergent results or suffer <strong>performance degradations<\/strong> with slightly different data.<\/p><p><a href=\"https:\/\/datascientest.com\/en\/roles-of-the-data-scientist-in-a-data-governance-strategy-data\">Data Scientists<\/a> can use this index to assess the ability of models to maintain consistent performance on varied test data sets.<\/p><p>This enables them to make a better choice between several models on the basis of stability, particularly if they offer similar performance in terms of precision or recall.<\/p>\t\t\t\t\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<div class=\"elementor-element elementor-element-9524600 e-flex e-con-boxed e-con\" data-id=\"9524600\" 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-13149bb elementor-widget elementor-widget-heading\" data-id=\"13149bb\" 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\">Assessment of stability in the face of data variations<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-642dbb7 elementor-widget elementor-widget-text-editor\" data-id=\"642dbb7\" 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><a href=\"https:\/\/datascientest.com\/en\/essential-data-scientist-tools-for-your-daily-workflow\">Data can change over time,<\/a> and natural variations can occur due to a variety of factors.<\/p><p>This is why <a href=\"https:\/\/datascientest.com\/en\/machine-learning-engineer-bootcamp-why-is-it-interesting\">Machine Learning models<\/a> must remain stable in the face of variations. Here again, the stability index is used to assess a model&#8217;s ability to adapt to changes and maintain satisfactory performance.<\/p><p>To quantify the model&#8217;s resilience, the index is measured on data sets reflecting the expected variations.<\/p><p>If it remains high despite the variations, this shows that the model is capable of adapting and generalising effectively. Conversely, a significant drop reflects a less reliable model.<\/p><p>In addition, this method can be used to identify potential stability problems. If a model shows low stability when evaluated on similar sets, this may indicate modelling errors, overfitting or other faults that need to be corrected.<\/p><p>Detecting these problems at an early stage provides an opportunity to make adjustments to the model or explore other <strong>approaches to improving its stability.<\/strong><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-05beaee elementor-widget elementor-widget-image\" data-id=\"05beaee\" 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\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/06\/indice-de-stabilite-ml-modele2.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/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<div class=\"elementor-element elementor-element-96653be elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"96653be\" 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-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/machine-learning-engineer-course\">\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\">Mastering the use of the stability index<\/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\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c596272 e-flex e-con-boxed e-con\" data-id=\"c596272\" 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-f8ae482 elementor-widget elementor-widget-heading\" data-id=\"f8ae482\" 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\">Performance monitoring and anomaly detection<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ab9382a elementor-widget elementor-widget-text-editor\" data-id=\"ab9382a\" 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>In <strong>addition to stability,<\/strong> the index can also be used to monitor model performance in real time and detect any anomalies.<\/p><p>By regularly monitoring the stability index on updated test data sets, data scientists can assess the consistency of performance and identify any <strong>significant deterioration.<\/strong><\/p><p>A sudden drop often indicates a potential problem in the model or in the data. These could be unexpected changes in the input data, degradations linked to updates, or even anomalies in the dataset itself.<\/p><p>Here again, detecting these anomalies enables corrective measures to be taken, such as revising the model, adjusting parameters or looking for sources of error.<\/p>\t\t\t\t\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<div class=\"elementor-element elementor-element-24edd97 e-flex e-con-boxed e-con\" data-id=\"24edd97\" 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-2e68969 elementor-widget elementor-widget-heading\" data-id=\"2e68969\" 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\">The limits of the stability index<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b337831 elementor-widget elementor-widget-text-editor\" data-id=\"b337831\" 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>The<strong> stability index<\/strong> is a very practical tool, but it has a number of weaknesses. Firstly, the results can be sensitive to the size of the sample and the<strong> choice of performance metrics.<\/strong><\/p><p>Nor does it solve all the problems associated with model reliability. This applies in particular to problems associated with poor quality data or intrinsic biases.<\/p><p>To avoid these problems, it is advisable to use representative test data sets of adequate size to guarantee a reliable assessment of stability.<\/p><p>It is also important to choose the<strong> appropriate metrics<\/strong> to measure the model&#8217;s performance, taking into account the specifics of the task in hand.<\/p>\t\t\t\t\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<div class=\"elementor-element elementor-element-4e7ea05 e-flex e-con-boxed e-con\" data-id=\"4e7ea05\" 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-0d7f979 elementor-widget elementor-widget-heading\" data-id=\"0d7f979\" 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\">Conclusion: the stability index, an essential tool for data scientists<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-292a5be elementor-widget elementor-widget-text-editor\" data-id=\"292a5be\" 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>To assess the reliability and compare the performance of Machine Learning models, the stability index is a key tool in the arsenal of Data Scientists and <a href=\"https:\/\/datascientest.com\/en\/machine-learning-engineer-all-about-the-job\">ML engineers.<\/a><\/p><p>To learn how to master the best data science techniques, you can choose DataScientest.<\/p><p>Our various courses will enable you to acquire all the skills you need to work as a Data Scientist, ML Engineer, Data Analyst, Data Engineer and Data Product Manager.<\/p><p>All our courses can be completed entirely by distance learning, and lead to certification issued by MINES Paris or PSL Executive \u00c9ducation and our cloud partners AWS and Microsoft Azure.<\/p><p>As far as funding is concerned, our organisation is recognised by the French and German government and our courses are therefore eligible for funding options. Don&#8217;t wait any longer and discover DataScientest!<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d9d093f elementor-widget__width-initial elementor-widget elementor-widget-video\" data-id=\"d9d093f\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/youtu.be\\\/1X8FQhEdk80&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.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-video .elementor-widget-container{overflow:hidden;transform:translateZ(0)}.elementor-widget-video .elementor-wrapper{aspect-ratio:var(--video-aspect-ratio)}.elementor-widget-video .elementor-wrapper iframe,.elementor-widget-video .elementor-wrapper video{height:100%;width:100%;display:flex;border:none;background-color:#000}@supports not (aspect-ratio:1\/1){.elementor-widget-video .elementor-wrapper{position:relative;overflow:hidden;height:0;padding-bottom:calc(100% \/ var(--video-aspect-ratio))}.elementor-widget-video .elementor-wrapper iframe,.elementor-widget-video .elementor-wrapper video{position:absolute;top:0;right:0;bottom:0;left:0}}.elementor-widget-video .elementor-open-inline .elementor-custom-embed-image-overlay{position:absolute;top:0;right:0;bottom:0;left:0;background-size:cover;background-position:50%}.elementor-widget-video .elementor-custom-embed-image-overlay{cursor:pointer;text-align:center}.elementor-widget-video .elementor-custom-embed-image-overlay:hover .elementor-custom-embed-play i{opacity:1}.elementor-widget-video .elementor-custom-embed-image-overlay img{display:block;width:100%;aspect-ratio:var(--video-aspect-ratio);-o-object-fit:cover;object-fit:cover;-o-object-position:center center;object-position:center center}@supports not (aspect-ratio:1\/1){.elementor-widget-video .elementor-custom-embed-image-overlay{position:relative;overflow:hidden;height:0;padding-bottom:calc(100% \/ var(--video-aspect-ratio))}.elementor-widget-video .elementor-custom-embed-image-overlay img{position:absolute;top:0;right:0;bottom:0;left:0}}.elementor-widget-video .e-hosted-video .elementor-video{-o-object-fit:cover;object-fit:cover}.e-con-inner>.elementor-widget-video,.e-con>.elementor-widget-video{width:var(--container-widget-width);--flex-grow:var(--container-widget-flex-grow)}<\/style>\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-70f6270 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"70f6270\" 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-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/machine-learning-engineer-course\">\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\">Start a Machine Learning Engineer training course<\/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<div class=\"elementor-element elementor-element-12f8e37 elementor-widget elementor-widget-text-editor\" data-id=\"12f8e37\" 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>Now you know all about the<strong> stability index<\/strong>. For more information, read our report on Machine Learning.<\/p>\t\t\t\t\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<div class=\"elementor-element elementor-element-b6e3d07 e-flex e-con-boxed e-con\" data-id=\"b6e3d07\" 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-31e0ce9 elementor-widget elementor-widget-html\" data-id=\"31e0ce9\" 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\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [{\n    \"@type\": \"Question\",\n    \"name\": \"What is the stability index?\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"This is a quantitative measure used to evaluate the stability of a Machine Learning model. 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This is why Machine Learning models need to remain stable in the face of variation. Here again, the stability index is used to assess a model's ability to adapt to changes and maintain satisfactory performance.\"\n    }\n  }]\n}\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>The stability index is used to assess the reliability of Machine Learning models. Find out everything you need to know about this tool, and how to use it! In the field of Machine Learning, the reliability and robustness of Machine Learning models are crucial. Even in the presence of variations or perturbations in the input [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":178528,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2425],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Stability index: A tool for assessing ML models<\/title>\n<meta name=\"description\" content=\"The stability index is used to assess the reliability of Machine Learning models. 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