SHAP and Shapley Values Loop Nodes with AutoML

Workflow

SHAP and Shapley Values Loop Nodes with AutoML

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This worflow shows how to use SHAP and Shapley Values Loop nodes and it creates Stacked Bar Charts similar to Force Plots for you to compare and understand the explanations. SHAP algorithm needs a smaller table to represent the validation set. This is achieved with the SHAP Summarizer Component.

External resources

SHAP Dependence Plot (documentation)
Verified Components
Explaining prediction models and individual predictions with feature contributions, Štrumbelj and Kononenko, 2014
SHAP (SHapley Additive exPlanations) - Python Library on GitHub

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SHAP and Shapley Values Loop Nodes with AutoML

External resources

KNIME Base nodes

KNIME Data Generation

KNIME Deep Learning - Keras Integration

KNIME Ensemble Learning Wrappers

KNIME Expressions

KNIME H2O Machine Learning Integration

KNIME Integrated Deployment

KNIME JavaScript Views

KNIME Javasnippet

KNIME Machine Learning Interpretability Extension

KNIME Math Expression (JEP)

KNIME Optimization extension

KNIME PMML Preprocessing Applier Nodes

KNIME Quick Forms

KNIME XGBoost Integration

Legal

SHAP and Shapley Values Loop Nodes with AutoML

External resources

Used extensions & nodes

KNIME Base nodesTrusted extension

KNIME Data GenerationTrusted extension

KNIME Deep Learning - Keras IntegrationTrusted extension

KNIME Ensemble Learning WrappersTrusted extension

KNIME ExpressionsTrusted extension

KNIME H2O Machine Learning IntegrationTrusted extension

KNIME Integrated DeploymentTrusted extension

KNIME JavaScript ViewsTrusted extension

KNIME JavasnippetTrusted extension

KNIME Machine Learning Interpretability ExtensionTrusted extension

KNIME Math Expression (JEP)Trusted extension

KNIME Optimization extensionTrusted extension

KNIME PMML Preprocessing Applier NodesTrusted extension

KNIME Quick FormsTrusted extension

KNIME XGBoost IntegrationTrusted extension

Legal

KNIME Base nodes

KNIME Data Generation

KNIME Deep Learning - Keras Integration

KNIME Ensemble Learning Wrappers

KNIME Expressions

KNIME H2O Machine Learning Integration

KNIME Integrated Deployment

KNIME JavaScript Views

KNIME Javasnippet

KNIME Machine Learning Interpretability Extension

KNIME Math Expression (JEP)

KNIME Optimization extension

KNIME PMML Preprocessing Applier Nodes

KNIME Quick Forms

KNIME XGBoost Integration