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    <title>topic Predictor Selection Assistant Add-In Presentation 5-7-2025 in JMP Pro Discussions</title>
    <link>https://community.jmp.com/t5/JMP-Pro-Discussions/Predictor-Selection-Assistant-Add-In-Presentation-5-7-2025/m-p/872458#M7</link>
    <description>&lt;P&gt;Presentation given by JMP Systems Engineer Scott Allen on his Predictor Selection Assistant Add-In.&lt;/P&gt;
&lt;P&gt;The Predictor Selection Assistant (PSA) is an add-in that leverages the Predictor Screening and Bootstrap Forest platforms to provide additional detail on the likely strength of predictors. The add-in classifies a predictor as Strong, Medium, or Weak in relation to a given output, with further statistical comparisons available to inform whether a predictor should be retained or removed for further investigation.&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Use the Predictor Selection Assistant to help you identify critical parameters in root cause investigations, prioritize factors for designed experiments, or select features for modeling and machine-learning platforms in JMP Pro.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&lt;div class="lia-vid-container video-embed-center"&gt;&lt;div id="lia-vid-6372520803112w960h540r373" class="lia-video-brightcove-player-container"&gt;&lt;video-js data-video-id="6372520803112" data-account="6058004218001" data-player="default" data-embed="default" class="vjs-fluid" controls="" data-application-id="" style="width: 100%; height: 100%;"&gt;&lt;/video-js&gt;&lt;/div&gt;&lt;script src="https://players.brightcove.net/6058004218001/default_default/index.min.js"&gt;&lt;/script&gt;&lt;script&gt;(function() {  var wrapper = document.getElementById('lia-vid-6372520803112w960h540r373');  var videoEl = wrapper ? wrapper.querySelector('video-js') : null;  if (videoEl) {     if (window.videojs) {       window.videojs(videoEl).ready(function() {         this.on('loadedmetadata', function() {           this.el().querySelectorAll('.vjs-load-progress div[data-start]').forEach(function(bar) {             bar.setAttribute('role', 'presentation');             bar.setAttribute('aria-hidden', 'true');           });         });       });     }  }})();&lt;/script&gt;&lt;a class="video-embed-link" href="https://community.jmp.com/t5/video/gallerypage/video-id/6372520803112"&gt;(view in My Videos)&lt;/a&gt;&lt;/div&gt;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;To learn more about this add-in or to download it, &lt;A href="https://marketplace.jmp.com/appdetails/Predictor+Selection+Assistant" target="_self"&gt;Click Here&lt;/A&gt;.&lt;/SPAN&gt;&lt;/P&gt;</description>
    <pubDate>Thu, 08 May 2025 20:35:38 GMT</pubDate>
    <dc:creator>mattboron</dc:creator>
    <dc:date>2025-05-08T20:35:38Z</dc:date>
    <item>
      <title>Predictor Selection Assistant Add-In Presentation 5-7-2025</title>
      <link>https://community.jmp.com/t5/JMP-Pro-Discussions/Predictor-Selection-Assistant-Add-In-Presentation-5-7-2025/m-p/872458#M7</link>
      <description>&lt;P&gt;Presentation given by JMP Systems Engineer Scott Allen on his Predictor Selection Assistant Add-In.&lt;/P&gt;
&lt;P&gt;The Predictor Selection Assistant (PSA) is an add-in that leverages the Predictor Screening and Bootstrap Forest platforms to provide additional detail on the likely strength of predictors. The add-in classifies a predictor as Strong, Medium, or Weak in relation to a given output, with further statistical comparisons available to inform whether a predictor should be retained or removed for further investigation.&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Use the Predictor Selection Assistant to help you identify critical parameters in root cause investigations, prioritize factors for designed experiments, or select features for modeling and machine-learning platforms in JMP Pro.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&lt;div class="lia-vid-container video-embed-center"&gt;&lt;div id="lia-vid-6372520803112w960h540r412" class="lia-video-brightcove-player-container"&gt;&lt;video-js data-video-id="6372520803112" data-account="6058004218001" data-player="default" data-embed="default" class="vjs-fluid" controls="" data-application-id="" style="width: 100%; height: 100%;"&gt;&lt;/video-js&gt;&lt;/div&gt;&lt;script src="https://players.brightcove.net/6058004218001/default_default/index.min.js"&gt;&lt;/script&gt;&lt;script&gt;(function() {  var wrapper = document.getElementById('lia-vid-6372520803112w960h540r412');  var videoEl = wrapper ? wrapper.querySelector('video-js') : null;  if (videoEl) {     if (window.videojs) {       window.videojs(videoEl).ready(function() {         this.on('loadedmetadata', function() {           this.el().querySelectorAll('.vjs-load-progress div[data-start]').forEach(function(bar) {             bar.setAttribute('role', 'presentation');             bar.setAttribute('aria-hidden', 'true');           });         });       });     }  }})();&lt;/script&gt;&lt;a class="video-embed-link" href="https://community.jmp.com/t5/video/gallerypage/video-id/6372520803112"&gt;(view in My Videos)&lt;/a&gt;&lt;/div&gt;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;To learn more about this add-in or to download it, &lt;A href="https://marketplace.jmp.com/appdetails/Predictor+Selection+Assistant" target="_self"&gt;Click Here&lt;/A&gt;.&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 08 May 2025 20:35:38 GMT</pubDate>
      <guid>https://community.jmp.com/t5/JMP-Pro-Discussions/Predictor-Selection-Assistant-Add-In-Presentation-5-7-2025/m-p/872458#M7</guid>
      <dc:creator>mattboron</dc:creator>
      <dc:date>2025-05-08T20:35:38Z</dc:date>
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