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Automl
Machine learning interpretability
Credit scoring
XAI
MLI Explainable AI Integrated deployment Global surrogate model Permutation feature importance ICE
  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
    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
  3. 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
  4. 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
  5. 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
  6. 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