CS-132 SUV Market 2013 Feature Tuning v05
[Case Studies] CS-132 SUV Market 2013 Feature Tuning Defines an SUV Market and adds a Feature-level Tuning Loop. Uses the KNIME Extension: Market […]
01_Explainable_Artificial_Intelligence_(XAI)_Simple
eXplainable Artificial Intelligence (XAI) - Simple This application is a simple example of AutoML with KNIME Software for binary and multiclass […]
05_XAI_Credit_Scoring_Example_XAI_View
Explaining the Credit Scoring Model with the XAI View In the example, the Credit Scoring data set is partitioned to training and test samples. Then, the […]
JKISeason2-13
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01_Explainable_Artificial_Intelligence_(XAI)_Simple
This application is a simple example of AutoML with KNIME Software for binary and multiclass classification. The output models are then explained via the […]
02_Explainable_Artificial_Intelligence_(XAI)
This application is a simple example of AutoML with KNIME Software for binary and multiclass classification. The output models are then explained via the […]
01_Explainable_Artificial_Intelligence_(XAI)_Simple
This application is a simple example of AutoML with KNIME Software for binary and multiclass classification. The output models are then explained via the […]
04_SHAP_and_Shapley_Values
This worflow shows how to use SHAP and Shapley Values Loop nodes and creates Stacked Bar Charts similar to Force Plots for you to compare the explanations.
Global Feature Importance
This component is able to compute Global Feature Importance for classification models with up to 4 different techniques. The component additionally offers […]
06_Global_Feature_Importance_for_a_Custom_Model
Compute and Visualize Global Feature Importance for a Custom Model This application is a simple example of inspecting global feature importance for […]