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XAI
Integrated deployment Machine learning interpretability MLI Automated machine learning Guided analytics Credit scoring Explainable AI
  1. Workflow
    Model Inspection with Verified Components for Responsible AI
    AutoML Integrated deployment XAI
    +9
    This workflow demonstrates the usage of the verified components developed to interpret machine learning models. In the example we…
    paolotamag > Public > Model_Inspection_Examples
    2
    paolotamag
  2. Workflow
    eXplainable Artificial Intelligence (XAI) - Simple
    AutoML Automated machine learning Guided analytics
    +8
    This application is a simple example of AutoML with KNIME Software for binary and multiclass classification. The output models ar…
    knime > Examples > 09_Enterprise > 04_Integrated_Deployment > 05_Explainable_Artificial_Intelligence_(XAI) > 01_Explainable_Artificial_Intelligence_(XAI)_Simple
    2
    knime
  3. Workflow
    Local Interpretation Workflow
    XAI Counterfactual AutoML
    +7
    This workflow demonstrates the use of the Local Explanation View component on three separate datasets on which the AutoML compone…
    corey > Public > 01_Local_Explanation_Examples
    1
    corey
  4. Workflow
    Model Simulation View Examples
    AutoML Automated machine learning Guided analytics
    +11
    This workflow shows how to use the "Model Simulation View" components in combination with the "AutoML" and "AutoML (Regression)" …
    paolotamag > Public > Model_Simulation_View_Example
    1
    paolotamag
  5. Workflow
    Compute and Visualize Global Feature Importance Metrics
    AutoML Automated machine learning Guided analytics
    +9
    This application is a simple example of inspecting global feature importance for binary and multiclass classification with KNIME …
    lada > Public > XAI > 01_Global_Feature_Importance_Example
    1
    lada
  6. Workflow
    AutoML with other Verified Components for XAI and MLOps
    Model management Model monitoring Monitor
    +12
    This workflow showcases the AutoML component for binary and multiclass classification together with other components. This Compon…
    mpattadkal > Public > Others > 01_AutoML_Example_Workflow
    1
    mpattadkal
  7. Workflow
    Global Feature Importance Component with AutoML
    AutoML Integrated deployment XAI
    +6
    In the example, the Credit Scoring data set is partitioned to training and test samples. Then, the black box model (Neural Networ…
    knime > XAI Space > Classification > AutoML > 03_Global_Feature_Importance
    1
    knime
  8. Workflow
    Explaining the Credit Scoring Model with Model Interpretability Components
    AutoML Integrated deployment XAI
    +4
    This workflow demonstrates the usage of the verified components developed to interpret machine learning models. In the example, t…
    lada > Public > XAI > 02_XAI_Credit_Scoring_Example
    1
    lada
  9. Workflow
    LIME Loop Nodes with AutoML (Regression)
    LIME Machine learning interpretability Mli
    +10
    This is an example for computing explanation using LIME. AutoML (Regression) component is used to select the best model, but any …
    knime > XAI Space > Regression > AutoML > 03_Compute_LIMEs
    0
    knime
  10. Workflow
    Fairness Scorer Component with AutoML
    FairML XAI Fairness
    +5
    Adopting the verified component Fairnes Scorer with AutoML component. Steps: 1.Read the input data 2.Split the data into train an…
    knime > XAI Space > Classification > AutoML > 05_Fairness_Metric
    0
    knime
  11. Workflow
    Local Explanation View Component with AutoML
    XAI Counterfactual AutoML
    +7
    This workflow demonstrates the use of the Local Explanation View component on three separate datasets on which the AutoML compone…
    knime > XAI Space > Classification > AutoML > 01_Local_Explanation
    0
    knime
  12. Workflow
    XAI View Component with AutoML
    AutoML Automated machine learning Guided analytics
    +8
    This application is a simple example of AutoML with KNIME Software for binary and multiclass classification. The output models ar…
    knime > XAI Space > Classification > AutoML > 02_Explainable_Artificial_Intelligence_(XAI)
    0
    knime
  13. Workflow
    Model Simulation View Component with AutoML (Regression)
    AutoML Automated machine learning Guided analytics
    +10
    This workflow shows how to use the "Model Simulation View" component in combination with the "AutoML (Regression)" component. The…
    knime > XAI Space > Regression > AutoML > 01_Model_Simulation_View
    0
    knime
  14. Workflow
    SHAP and Shapley Values Loop Nodes with AutoML
    Machine learning interpretability Mli Force plot
    +5
    This worflow shows how to use SHAP and Shapley Values Loop nodes and it creates Stacked Bar Charts similar to Force Plots for you…
    knime > XAI Space > Classification > AutoML > 06_SHAP_and_Shapley_Values
    0
    knime
  15. Workflow
    Partial Dependence Plot with a Custom Regression Model
    Partial dependence Pdp Pdp plot
    +16
    This is an example for visualizing a partial dependence plot and an ICE curves plot in KNIME. An XGBoost Tree Ensemble Regression…
    knime > XAI Space > Regression > Custom Models > 04_Partial_Dependence_Pre-processing
    0
    knime
  16. Workflow
    Model Simulation View Component with AutoML
    AutoML Automated machine learning Guided analytics
    +10
    This workflow shows how to use the "Model Simulation View" component with AutoML The key of this example is the “Model Simulation…
    knime > XAI Space > Classification > AutoML > 04_Model_Simulation_View
    0
    knime
  17. Workflow
    Global Feature Importance Component with AutoML
    AutoML Integrated deployment XAI
    +6
    In the example, the Credit Scoring data set is partitioned to training and test samples. Then, the black box model (Neural Networ…
    kamalnain > Public > 03_Global_Feature_Importance
    0
    kamalnain
  18. Workflow
    LIME Loop Nodes with AutoML
    LIME Machine learning interpretability Mli
    +9
    This is an example for computing explanation using LIME. AutoML component was used to pick the best model, but any model and its …
    knime > XAI Space > Classification > AutoML > 07_Compute_LIMEs
    0
    knime
  19. Workflow
    SHAP and Shapley Values Loop Nodes with AutoML (Regression)
    Machine learning interpretability Mli Force plot
    +5
    This worflow shows how to use SHAP and Shapley Values Loop nodes and it creates Stacked Bar Charts similar to Force Plots for you…
    knime > XAI Space > Regression > AutoML > 02_SHAP_and_Shapley_Values
    0
    knime
  20. Workflow
    Model Simulation View Component with a Custom Regression Model
    AutoML Automated machine learning Guided analytics
    +11
    This workflow shows how to use the "Model Simulation View" component. A XGBoost Linear Regression model is used here, it can be r…
    knime > XAI Space > Regression > Custom Models > 01_Model_Simulation_View
    0
    knime