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Gradient boosting
Data mining Gradient boosted trees Machine Learning Classification Bag of Models
+7
  1. 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
  2. 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
  3. 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
  4. Workflow
    Group 2 Optional Steps
    Predictive Analytics Machine Learning Cross Validation
    +6
    Solution to the optional tasks for Group 2 in KNIME Data Science Learnathon - Apply a cross validation loop to a classification m…
    knime > Education > Learnathons > From_Raw_Data_To_Deployment > Learnathon-Solutions > Group2_Training_Evaluation_and_Optimization > Group2_2_Optional_Steps
    0
  5. Workflow
    Group 2 Optional Steps
    Predictive Analytics Machine Learning Cross Validation
    +6
    Solution to the optional tasks for Group 2 in KNIME Data Science Learnathon - Apply a cross validation loop to a classification m…
    knime > Education > Learnathons > From_Raw_Data_To_Deployment > Learnathon > Challenges > Group2_Training_Evaluation_and_Optimization > Group2_2_Optional_Steps
    0
  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
  7. 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
  8. Workflow
    Group 2 Optional Steps
    Predictive Analytics Machine Learning Cross Validation
    +6
    Optional tasks for Group 2 in KNIME Data Science Learnathon - Apply a cross validation loop to a classification model - Train a c…
    maarit > University Course > Learnathon UM April 21 > Challenges > Group2_Training_Evaluation_and_Optimization > Group2_2_OPTIONAL_Steps
    0
  9. Node / Learner
    Gradient Boosted Trees Learner
    Analytics Mining Decision Tree Ensemble
    +2
    Learns Gradient Boosted Trees with the objective of classification. The algorithm uses very shallow regression trees and a specia…
    0
  10. Node / Learner
    Gradient Boosted Trees Learner (Regression)
    Analytics Mining Decision Tree Ensemble
    +2
    Learns Gradient Boosted Trees with the objective of regression. The algorithm uses very shallow regression trees and a special fo…
    0
  11. Node / Learner
    Gradient Boosted Trees Learner (Regression) (deprecated)
    Analytics Mining Decision Tree Ensemble
    +2
    Learns Gradient Boosted Trees with the objective of regression. The algorithm uses very shallow regression trees and a special fo…
    0
  12. Node / Learner
    Gradient Boosted Trees Learner (deprecated)
    Analytics Mining Decision Tree Ensemble
    +2
    Learns Gradient Boosted Trees with the objective of classification. The algorithm uses very shallow regression trees and a specia…
    0
  13. Node / Predictor
    Gradient Boosted Trees Predictor
    Analytics Mining Decision Tree Ensemble
    +3
    Classifies data using a Gradient Boosted Trees model. The implementation follows the algorithms described in "Greedy Function App…
    0
  14. Node / Predictor
    Gradient Boosted Trees Predictor (Regression)
    Analytics Mining Decision Tree Ensemble
    +3
    Applies regression from a Gradient Boosted Trees model. The implementation follows the algorithms described in "Greedy Function A…
    0
  15. Node / Predictor
    Gradient Boosted Trees Predictor (deprecated)
    Analytics Mining Decision Tree Ensemble
    +3
    Classifies data using a Gradient Boosted Trees model. The implementation follows the algorithms described in "Greedy Function App…
    0
  16. Node / Predictor
    Gradient Boosted Trees Predictor (deprecated)
    Analytics Mining Decision Tree Ensemble
    +3
    Classifies data using a Gradient Boosted Trees model. The implementation follows the algorithms described in "Greedy Function App…
    0
  17. Node / Other
    Gradient Boosted Trees to PMML
    Analytics Mining Decision Tree Ensemble
    +1
    Writes a Gradient Boosted Trees model to PMML. Models learned on bit-, byte- or double-vector columns can be translated but the n…
    0
  18. Node / Predictor
    PMML Gradient Boosted Trees Predictor
    Analytics Mining Decision Tree Ensemble
    +3
    Applies classification from a Gradient Boosted Trees model that is provided in PMML format. Note that it is currently not possibl…
    0
  19. Node / Predictor
    PMML Gradient Boosted Trees Predictor (Regression)
    Analytics Mining Decision Tree Ensemble
    +3
    Applies regression from a Gradient Boosted Trees model that is provided in PMML format. Note that it is currently not possible to…
    0
  20. Node / Predictor
    PMML Gradient Boosted Trees Predictor (deprecated)
    Analytics Mining Decision Tree Ensemble
    +3
    Applies classification from a Gradient Boosted Trees model that is provided in PMML format. Note that it is currently not possibl…
    0