This component is able to compute Global Feature Importance for classification models with up to 4 different techniques. The component additionally offers […]
This component is able to compute Global Feature Importance for classification models with up to 4 different techniques. The component additionally offers […]
<p><strong>Challenge 8: Airline Customer Loyalty</strong></p><p><strong>Level:</strong> Easy<br><br><strong>Description:</strong> You work for a Canadian […]
<p><strong>Challenge 9: Processing Invoices at the End of a Quarter</strong></p><p><strong>Level:</strong> Hard<br><br><strong>Description:</strong> You’re […]
<p><strong>JKISeason4-61</strong></p><p><strong>Heart Failure Prediction</strong></p> TAGS: anilks,JKISeason4-61
<p><strong>JKISeason4-6</strong></p><p><strong>Heart Failure Prediction</strong></p> TAGS: JKISeason4-6,anilks
This workflow is an example of how to train a basic machine learning model for a churn prediction task. In this case we train a random forest after […]
URL: LIME https://www.knime.com/blog/XAI-LIME-stroke-prediction URL: Breast Cancer Wisconsin (Original) […]
KniMet1.2.8_KNIMESTed University of CambridgeのSonia LiggiさんらのKniMetという取り組みに感動したので、Rなどの環境設定が難しい場合でもWFの勉強ができるようにと一部の重要なファイル群をWF内のdataフォルダに格納しました。 URL: […]
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