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XAI
Machine learning interpretability Integrated deployment AutoML Mli Guided analytics Automated machine learning Classification
  1. 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
  2. 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
  3. Workflow
    Challenge 26: Modeling Churn Predictions - Part 4
    Justknimeit Justknimeit-26 Xai
    +1
    To wrap up our series of data classification challenges, consider again the following churning problem: a telecom company wants y…
    knime > Just KNIME It! > Challenge 26 - Churning Problem Part 4 - Solution
    2
    knime
  4. Workflow
    Counterfactual Explanations for Keras
    Counterfactual Instances Counterfactual Explainations Binary Classification
    +6
    This application is a simple example of using Conterfactual Explanations (Python) component to identify the Counterfactual Instan…
    mpattadkal > Counterfactual Explanation (Python) > 01_KNIME_Workflows > 02_Counterfactual_Explanations_for_Keras
    1
    mpattadkal
  5. Workflow
    Train and Explain Keras Network with Counterfactuals
    Counterfactual Instances Counterfactual Explainations Binary Classification
    +5
    This application is a simple example of using Conterfactual Explanations (Python) Component to identify the counterfactual instan…
    mpattadkal > Counterfactual Explanation (Python) > 01_KNIME_Workflows > 01_Train_and_Explain_Keras_Network_with_Counterfactuals
    1
    mpattadkal
  6. Workflow
    Counterfactual Explanations for scikit-learn (Python)
    Interpretable ML Python and KNIME Counterfactual Instances
    +5
    This application is a simple example of using Conterfactual Explanations (Python) component to identify the Counterfactual Instan…
    mpattadkal > Counterfactual Explanation (Python) > 01_KNIME_Workflows > 03_Counterfactual_Explanations_for_scikit-learn_(Python)
    1
    mpattadkal
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
    0
    knime
  14. 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
  15. Workflow
    Interpretability of Classification models
    Justknimeit Justknimeit-26 Interpretability
    +2
    This workflow demontstrates the usage of XAI techniques, global and local explanations for intrepreting the decision making of th…
    mpattadkal > Public > Just_KNIME_It > Challenge_26
    0
    mpattadkal
  16. Workflow
    Explaining Global Feature Importance of a Credit Scoring Model
    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…
    lada > Public > XAI > 03_XAI_Credit_Scoring_Example_Global_Feature_Importance
    0
    lada
  17. Workflow
    Explaining the Credit Scoring Model with the XAI View
    AutoML Integrated deployment XAI
    +11
    In the example, the Credit Scoring data set is partitioned to training and test samples. Then, the black box model (Neural Networ…
    lada > Public > XAI > 05_XAI_Credit_Scoring_Example_XAI_View
    0
    lada
  18. Workflow
    Finding Counterfactual Explanations and Local Feature Importance for a Selected Prediction of a Credit Scoring Model
    AutoML Integrated deployment XAI
    +8
    In the example, the Credit Scoring data set is partitioned to training and test samples. Then, the black box model (Neural Networ…
    lada > Public > XAI > 04_XAI_Credit_Scoring_Example_Local_Explanation_View
    0
    lada
  19. Workflow
    Compute and Visualize Global Feature Importance for a Custom Model
    Guided analytics Integrated deployment Interpretability
    +7
    This application is a simple example of inspecting global feature importance for binary and multiclass classification with KNIME …
    lada > Public > XAI > 06_Global_Feature_Importance_for_a_Custom_Model
    0
    lada
  20. 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