11 results
- Go to itemThe workflow demonstrates how to use SHAP, Shapley Values and LIME implemenatations in KNIME 4.0 and generates a basic combined v…4
- Go to itemSHAP is an acronym for SHapley Additive exPlanations and represents a unified approach to explain the predictions of any machine …1
- Go to itemDemonstrates use of SHAP implemenatation in KNIME 4.0 and generates a basic view. Uses Decision Tree model for predicting surviva…0
- Go to itemThe workflow demonstrates how to use SHAP, Shapley Values and LIME implemenatations in KNIME 4.0 and generates a basic combined v…0
- Go to itemThis workflow shows how to better interpret the results of a linear regression model using the Standardized Coefficients componen…0
- Go to itemThis node produces a complex view made of four different charts in order to compare, optimize and select predictions of different…0
- Go to itemLIME stands for Local Interpretable Model-agnostic Explanations. It tries to explain individual predictions of a black box model …0
- Go to itemThis node requires the use of the Partial Dependence Pre-processing Component to sample the relevant data. This Component can be …0
- Go to itemCalculates the SHAP values by evaluating the predictions your model made in the loop body. For each explained row of interest (ro…0
- Go to itemAggregates the predictions per row to be explained and calculates the Shapley Values for each feature prediction combination. For…0
- Go to itemShapley Values originated in game theory and in the context of machine learning they have recently became a popular tool for the …0