IconJKISeason2-19 

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IconChallenge 26 - Churning Problem Part 4 - Solution 

To wrap up our series of data classification challenges, consider again the following churning problem: a telecom company wants you to predict which […]

IconJKISeason2-9 Ángel Molina 

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Iconjustknimeit02 - 09 - Raffaello Barri 

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IconJKISeason3-18 

<p><strong>JKISeason3-18</strong></p><p><strong>Explaining Cancer Predictions</strong></p> TAGS: JKISeason3-18

IconN2_​03_​AutoML_​with_​Surrogate 

You can find a related description of this workflow at https://wikidocs.net/edit/page/201493. However, they are all written in Korean.

Icon03_​Global_​Feature_​Importance 

In the example, the Credit Scoring data set is partitioned to training and test samples. Then, the black box model (Neural Network) is trained on the […]

IconJKI_​026_​Modeling_​Churn_​Predictions_​Part_​4 

JKI_026_Modeling_Churn_Predictions_Part_4 Just KNIME It! の第26回課題に回答しました。 https://www.knime.com/just-knime-it URL: XAI – Explain Single […]