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AutoML
XAI Integrated deployment Guided analytics Automated machine learning H2o Knime Machine learning interpretability Xgboost Analytics H2O Machine Learning
+2
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    Workflow
    AutoML Component via Interactive Views
    AutoML Automated machine learning Guided analytics
    +1
    This application is a simple example of AutoML with KNIME Software for binary and multiclass classification. The key of this exam…
    knime > Examples > 09_Enterprise > 04_Integrated_Deployment > 03_AutoML_Deployment > 01_AutoML_Component_via_Interactive_Views
    14
    knime
  2. Go to item
    Workflow
    Guided Automation
    AutoML Guided analytics Automated machine learning
    +11
    Download the entire workflow group from the Example Server. This Guided Analytics application is made of this main workflow, whic…
    knime > Examples > 50_Applications > 36_Guided_Analytics_for_ML_Automation > 01_Guided_Analytics_for_ML_Automation > 01_Guided_Analytics_for_ML_Automation
    6
    knime
  3. Go to item
    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
    3
    knime
  4. Go to item
    Workflow
    AutoML Regression and Classification Examples
    AutoML Automated machine learning Guided analytics
    +6
    This application is a simple example of AutoML with KNIME Software for regression and classification tasks. The key of this examp…
    knime > Examples > 09_Enterprise > 04_Integrated_Deployment > 03_AutoML_Deployment > 02_AutoML_Regression_and_Classification_Examples
    3
    knime
  5. Go to item
    Workflow
    Triage Score Prediction
    Triage Automl Medical
    +2
    Triage is the process of determining the priority of patient treatment using an internationally recognized 5-level triage system(…
    knime > Digital Healthcare > Triage Score Prediction > Triage Score Prediction
    2
    knime
  6. Go to item
    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
  7. Go to item
    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
    2
    lada
  8. Go to item
    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
    2
    knime
  9. Go to item
    Workflow
    H2O.ai AutoML (wrapped with R) in KNIME for regression problems
    H2o Automl Knime
    +8
    H2O.ai AutoML (wrapped with R) in KNIME for regression problems - a powerful auto-machine-learning framework (https://hub.knime.c…
    mlauber71 > Public > automl > kn_automl_h2o_regression_r
    1
    mlauber71
  10. Go to item
    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
  11. Go to item
    Workflow
    H2O.ai AutoML (generic KNIME nodes) in KNIME for classification problems - a powerful auto-machine-learning framework
    H2o Automl Knime
    +8
    H2O.ai AutoML (generic KNIME nodes) in KNIME for classification problems - a powerful auto-machine-learning framework (https://hu…
    mlauber71 > Public > automl > kn_automl_h2o_classification
    1
    mlauber71
  12. Go to item
    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
  13. Go to item
    Workflow
    H2O AutoML for Regression
    H2O Machine learning Automl
    +3
    This example shows how to build a regression model with H2O AutoML, predict new data and score the regression metrics for model e…
    knime > Examples > 04_Analytics > 15_H2O_Machine_Learning > 11_H2O_AutoML_Regression_Model
    1
    knime
  14. Go to item
    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
    1
    knime
  15. Go to item
    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
  16. Go to item
    Workflow
    Challenge 25: Modeling Churn Predictions - Part 3
    Churn Justknimeit Automl
    +1
    In this challenge series, the goal is to predict which customers of a certain telecom company are going to churn (that is, going …
    knime > Just KNIME It! > Season 1 > Challenge 25 - Churning Problem Part 3 - Solution
    1
    knime
  17. Go to item
    Workflow
    Challenge 24 - Modeling Churn Predictions Part 2
    Churn Justknimeit Automl
    +1
    knime > Just KNIME It! > Season 1 > Challenge 24 - Churning Problem Part 2 - Solution
    1
    knime
  18. Go to item
    Workflow
    AutoML Classification Examples_for_KNIME_AP_ver_4_4
    AutoML Automated machine learning Guided analytics
    +4
    Originally: This application is a simple example of AutoML with KNIME Software for regression and classification tasks. The key o…
    knimest > Public > KNIMEST_JP > AutoML_Classification_Example_for_KNIME_AP_4_4
    1
    knimest
  19. Go to item
    Workflow
    H2O.ai AutoML (wrapped with Python) in KNIME for regression problems
    H2o Automl Knime
    +8
    H2O.ai AutoML (wrapped with Python) in KNIME for regression problems - a powerful auto-machine-learning framework (https://hub.kn…
    mlauber71 > Public > automl > kn_automl_h2o_regression_python
    1
    mlauber71
  20. Go to item
    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
    1
    lada

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