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Mli
Machine learning interpretability AutoML XAI Integrated deployment Partial dependence
+3
  1. Workflow
    Partial Dependence Plot Example
    Partial dependence Pdp Pdp plot
    +13
    This is an example for visualizing a partial dependence plot and an ICE curves plot in KNIME. An XGBoost model was picked, but an…
    knime > Examples > 04_Analytics > 17_Machine_Learning_Interpretability > 02_Partial_Dependence_Pre-processing
    2
  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
  3. Workflow
    Guided Analytics with Shared Components - Preview
    Guided analytics Shared component AutoML
    +13
    --------------- !!! DISCLAIMER !!! --------------- These Components are not-verified Beta versions shared in Fall 2019 on my pers…
    paolotamag > Public > Guided_Analytics_with_Shared_Components
    1
  4. 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
    1
  5. Workflow
    Compute Local Model-agnostic Explanations (LIMEs)
    LIME Machine learning interpretability Mli
    +9
    This is an example for computing explanation using LIME. An XGBoost model was picked, but any model and its set of Learner and Pr…
    knime > Examples > 04_Analytics > 17_Machine_Learning_Interpretability > 01_Compute_LIMEs
    1
  6. Workflow
    Partial Dependence Plot Example
    Partial dependence Pdp Pdp plot
    +13
    This is an example for visualizing a partial dependence plot and an ICE curves plot in KNIME. An XGBoost model was picked, but an…
    keith_mccormick > Public > 02_Partial_Dependence_Pre-processing
    0
  7. Workflow
    Compute Local Model-agnostic Explanations (LIMEs)
    LIME Machine learning interpretability Mli
    +9
    這是使用LIME計算說明的示例。 選擇了XGBoost模型，但是可以使用任何模型及其Learner和Predictor節點集。 -閱讀有關葡萄酒的數據集 -在訓練和測試中對數據進行分區 -選擇一些測試集實例行進行解釋 -在輸入表中為每個實例創建本地樣本（LI…
    jamestsai > Public > 01_Compute_LIMEs
    0
  8. Workflow
    Interactive MLI Composite View
    Machine learning interpretability MLI PDP
    +14
    This worflow will show how to use the interactive views of JavaScript nodes to visualize in a single Composite View a number of M…
    knime > Examples > 04_Analytics > 17_Machine_Learning_Interpretability > 05_Interactive_MLI_Composite_View
    0
  9. Workflow
    SHAP and Shapley Values Example
    Machine learning interpretability Mli Force plot
    +3
    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 > Examples > 04_Analytics > 17_Machine_Learning_Interpretability > 04_SHAP_and_Shapley_Values
    0
  10. Workflow
    eXplainable Artificial Intelligence (XAI) - Complex
    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) > 02_Explainable_Artificial_Intelligence_(XAI)_Complex
    0
  11. 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
  12. 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
  13. 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
  14. 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
    0