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Gradient Boosted Trees
Machine learning Classification Logistic Regression Boosting Data mining Gradient boosting
  1. Workflow
    Applying Optimized Threshold from Binary Calssification Inspector
    Machine Learning Classification Data Mining
    +7
    This workflow is made to show how to apply the threshold computed by the Binary Classification Inspector for new data. the thresh…
    paolotamag > Public > Applying_Optimized_Threshold_from_Binary_Calssification_Inspector
    1
    paolotamag
  2. Workflow
    Housing Value Prediction using XGBoost for Regression
    XGBoost Regression Gradient boosting
    +5
    This workflow shows how the XGBoost nodes can be used for regression tasks. It also demonstrates a combination of parameter optim…
    knime > Examples > 04_Analytics > 16_XGBoost > 02_Housing_Value_Regression_with_XGBoost
    1
    knime
  3. Workflow
    Local Explanation View Component with a Custom Model
    XAI Counterfactual Integrated Deployment
    +10
    This workflow demonstrates the use of the Local Explanation View component on three separate datasets on which the different cust…
    knime > XAI Space > Classification > Custom Models > 01_Local_Explanation
    0
    knime
  4. Workflow
    Applying Optimized Threshold from Binary Calssification Inspector
    Machine Learning Classification Data Mining
    +7
    This workflow is made to show how to apply the threshold computed by the Binary Classification Inspector for new data. the thresh…
    svbaranov > Public > Applying_Optimized_Threshold_from_Binary_Calssification_Inspector
    0
    svbaranov
  5. Workflow
    Analyzing Churn Models with the Binary Classification Inspector
    Machine Learning Classification Data Mining
    +7
    This workflow demonstrates the functionality of the Binary Classification Inspector node. It produces a complex view made of four…
    atomnous > Public > 04_Classification_and_Predictive_Modelling > 10_Analyzing_Churn_Models_with_the_Binary_Classification_Inspector
    0
    atomnous
  6. Workflow
    Learn a Gradient Boosted Trees model
    Classification Machine learning Gradient boosting
    +3
    This workflow shows how to learn a Gradient Boosted Trees model on the adult data set.
    atomnous > Public > 04_Classification_and_Predictive_Modelling > 05_Gradient_Boosted_Trees
    0
    atomnous
  7. Workflow
    Ensemble methods
    Classification Random forest Gradient boosted trees
    +7
    Ensembles: binary classification of house ranking (high/low rank). - Random forest - Gradient Boosted Trees - Training - Evaluati…
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter9_Ensemble_Methods > Ensemble_Solution
    0
    knime
  8. Workflow
    Learn a Gradient Boosted Trees model
    Classification Machine learning Gradient boosting
    +3
    This workflow shows how to learn a Gradient Boosted Trees model on the adult data set.
    knime > Examples > 04_Analytics > 04_Classification_and_Predictive_Modelling > 05_Gradient_Boosted_Trees
    0
    knime
  9. Workflow
    Parameter Optimization (Table) Component with Range Sliders on Gradient Boosted Trees
    Parameter optimization Machine Learning Gradient Boosted Trees
    +3
    This workflow shows an example for the "Parameter Optimization (Table)" component (kni.me/c/dIpKMJbiO-3019eb) with range filter. …
    knime > Parameter Optimization Space > 01_Classification > 02_Parameter_Optimization_with_Components > 02_Parameter_Optimization_(Table)_Component_with_Range_Sliders_on_Gradient_Boosted_Trees
    0
    knime
  10. Workflow
    Forest Cover Type Classification with XGBoost
    XGBoost Classification Gradient boosting
    +7
    This workflows shows how the XGBoost nodes can be used for classification tasks.
    knime > Examples > 04_Analytics > 16_XGBoost > 01_Classify_Forest_Covertypes_with_XGBoost
    0
    knime
  11. Workflow
    Ensemble methods
    Classification Random forest Gradient boosted trees
    +7
    Ensembles: binary classification of house ranking (high/low rank). - Random forest - Gradient Boosted Trees - Training - Evaluati…
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter9_Ensemble_Methods > Ensemble_Exercise
    0
    knime
  12. Workflow
    Learn a Gradient Boosted Trees model
    Classification Machine learning Gradient boosting
    +3
    This workflow shows how to learn a Gradient Boosted Trees model on the adult data set.
    amfita > Public > 05_Gradient_Boosted_Trees
    0
    amfita
  13. Workflow
    Analyzing Churn Models with the Binary Classification Inspector
    Machine Learning Classification Data Mining
    +7
    This workflow demonstrates the functionality of the Binary Classification Inspector node. It produces a complex view made of four…
    knime > Examples > 04_Analytics > 04_Classification_and_Predictive_Modelling > 10_Analyzing_Churn_Models_with_the_Binary_Classification_Inspector
    0
    knime
  14. Workflow
    Weak Supervision on the Adult dataset
    Weak Supervision Weakly Supervised Learning Machine Learning
    +4
    This workflow shows how to use the Weak Label Model Learner and Predictor nodes to aggregate sources of weak supervision such as …
    knime > Examples > 04_Analytics > 13_Meta_Learning > 05_Weak_Supervision_on_the_Adult_dataset
    0
    knime