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Analytics Integrations Classification Algorithms Weka Mining Weka (3.7) Meta H2O Machine Learning Models Weka (3.6)
  1. Node / Learner
    H2O Gradient Boosting Machine Learner
    Analytics Integrations H2O Machine Learning
    +2
    Learns a Gradient Boosting Machine (GBM) classification model using H2O .
    0
    knime
  2. Node / Learner
    H2O Gradient Boosting Machine Learner (Regression)
    Analytics Integrations H2O Machine Learning
    +2
    Learns a Gradient Boosting Machine (GBM) regression model using H2O .
    0
    knime
  3. 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
    knime
  4. 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
    knime
  5. Node / Learner
    H2O Gradient Boosting Machine Learner (deprecated)
    Analytics Integrations H2O Machine Learning
    +2
    Learns a Gradient Boosting Machine (GBM) classification model using H2O .
    0
    knime
  6. Node / Learner
    H2O Gradient Boosting Machine Learner (Regression) (deprecated)
    Analytics Integrations H2O Machine Learning
    +2
    Learns a Gradient Boosting Machine (GBM) regression model using H2O .
    0
    knime
  7. Node / Learner
    H2O Gradient Boosting Machine Learner (deprecated)
    Analytics Integrations H2O Machine Learning
    +2
    Learns a Gradient Boosting Machine (GBM) classification model using H2O .
    0
    knime
  8. Node / Learner
    H2O Gradient Boosting Machine Learner (Regression) (deprecated)
    Analytics Integrations H2O Machine Learning
    +2
    Learns a Gradient Boosting Machine (GBM) regression model using H2O .
    0
    knime
  9. 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
    knime
  10. 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
    knime
  11. 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
    knime
  12. 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
    knime
  13. Node / Learner
    Spark Gradient-Boosted Trees Learner (MLlib)
    Tools & Services Apache Spark Mining
    +1
    This node applies the Apache Spark Gradient-Boosted Trees (GBTs) algorithm. Note: GBTs do not yet support multiclass classificati…
    0
    knime
  14. Node / Learner
    AdditiveRegression (3.6)
    Analytics Integrations Weka
    +3
    Meta classifier that enhances the performance of a regression base classifier. Each iteration fits a model to the residuals left …
    0
    knime
  15. 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
    knime
  16. Node / Learner
    AdditiveRegression (3.7)
    Analytics Integrations Weka
    +3
    Meta classifier that enhances the performance of a regression base classifier Each iteration fits a model to the residuals left b…
    0
    knime
  17. Node / Learner
    H2O Isolation Forest Learner
    Analytics Integrations H2O Machine Learning
    +2
    Learns an Isolation Forest model using H2O . The model is learned unsupervised and can be used to detect anomalies or outliers by…
    0
    knime
  18. 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
    knime
  19. 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
    knime
  20. Node / Learner
    DL4J Feedforward Learner (Pretraining)
    KNIME Labs Deep Learning DL4J
    +2
    This node performs unsupervised pretraining of a feedforward deep learning model. Thereby, the learning procedure can be adjusted…
    0
    knime