JKI_Challenge-13_diy
Solution to JKI Challenge 13. This workflow runs an AutoML node and subsequently carries out a Feature Importance to identify the most important components […]
JKI2_013_Untitled(XAI_with_SHAP)
Just KNIME It! Season2 の第13回課題に回答しました。 https://www.knime.com/just-knime-it
04_XAI_Credit_Scoring_Example_Local_Explanation_View
Finding Counterfactual Explanations and Local Feature Importance for a Selected Prediction of a Credit Scoring Model In the example, the Credit Scoring […]
justKnimeit-26
justKnimeit-26 Challenge 26: Modeling Churn Predictions - Part 4 TAGS: justKnimeit-26
justknimeit-26
justknimeit-26 There has been no description set for this workflow's metadata. TAGS: justknimeit-26
JKISeason2-6
Challenge 06: Airline Reviews Level: Hard Description: You work for a Marketing agency that monitors the online presence of a few airline companies to […]
AutoML (Regression)
Automated Machine Learning (AutoML) for a Regression Task. This Component can automatically train supervised machine learning models by performing some data […]
AutoML for Bike Rentals Predicting
AutoML for Bike Rentals Predicting This workflow demonstrates how to predict the number of rented bikes. Pre-processing, hyper-parameter […]