Hub

4 results

Filter
ML Interpretability
SHAP Titanic Interactive View LIME Random Forest Shapley Values Interpretability Machine learning Decision Tree
  1. Workflow
    Model Interpretability, Titanic
    Titanic Random Forest ML Interpretability
    +6
    The workflow demonstrates how to use SHAP, Shapley Values and LIME implemenatations in KNIME 4.0 and generates a basic combined v…
    knime > Examples > 04_Analytics > 17_Machine_Learning_Interpretability > 03_Titantic_Prediction_Explanations
    4
    corey
  2. Workflow
    Model Interpretability: SHAP to explain predictions of Decision Tree
    Titanic ML Interpretability Decision Tree
    +2
    Demonstrates use of SHAP implemenatation in KNIME 4.0 and generates a basic view. Uses Decision Tree model for predicting surviva…
    lisovyi > Public > forum > 18358
    0
    lisovyi
  3. Workflow
    Model Interpretability, Titanic
    Titanic Random Forest ML Interpretability
    +6
    The workflow demonstrates how to use SHAP, Shapley Values and LIME implemenatations in KNIME 4.0 and generates a basic combined v…
    joelbec > Public > 03_Titantic_Prediction_Explanations
    0
    joelbec
  4. Workflow
    Standardized Coefficients for Regression
    Regression Standardized Coefficients
    +1
    This workflow shows how to better interpret the results of a linear regression model using the Standardized Coefficients componen…
    jaqen79 > Public > Standardized Coefficients for Regression
    0
    jaqen79