Hub
Pricing About
  • Software
  • Blog
  • Forum
  • Events
  • Documentation
  • About KNIME
  • KNIME Community Hub
  • Search

21 results

Filter
Ensemble Learning
Classification Random forest GIDS TheGuideBook Academia Bagging Boosting Exercise Gradient boosted trees Analytics
+2
  1. Go to item
    Workflow
    Parameter Optimization (Table) Component on Random Forest
    Parameter optimization Machine learning Random forest
    +4
    This workflow shows an example for the "Parameter Optimization (Table)" component (kni.me/c/dIpKMJbiO-3019eb). The model used for…
    knime > Parameter Optimization Space > 01_Classification > 02_Parameter_Optimization_with_Components > 01_Parameter_Optimization_(Table)_Component_on_Random_Forest
    0
    knime
  2. Go to item
    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
  3. Go to item
    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
  4. Go to item
    Node / LoopEnd
    Boosting Learner Loop End
    Analytics Mining Ensemble Learning
    Together with the corresponding loop start node a boosting loop can be constructed. It repeatedly trains simple models and weighs…
    0
    knime
  5. Go to item
    Node / LoopStart
    Boosting Learner Loop Start
    Analytics Mining Ensemble Learning
    Together with the corresponding loop end node a boosting loop can be constructed. It repeatedly trains simple models and weights …
    0
    knime
  6. Go to item
    Node / LoopEnd
    PMML Ensemble Loop End
    Analytics Mining Ensemble Learning
    +1
    This node collects PMML models that are generated in a loop and puts them together in one ensemble PMML Mining Model. This model …
    0
    knime
  7. Go to item
    Node / Predictor
    PMML Ensemble Predictor
    Analytics Mining Ensemble Learning
    +1
    The PMML Ensemble Predictor node takes a pmml document containing an ensemble of other models and executes all of them on the giv…
    0
    knime
  8. Go to item
    Node / Predictor
    PMML Ensemble Predictor (deprecated)
    Analytics Mining Ensemble Learning
    +1
    The PMML Ensemble Predictor node takes a pmml document containing an ensemble of other models and executes all of them on the giv…
    0
    knime
  9. Go to item
    Node / Predictor
    PMML Ensemble Predictor (deprecated)
    Analytics Mining Ensemble Learning
    +1
    The PMML Ensemble Predictor node takes a pmml document containing an ensemble of other models and executes all of them on the giv…
    0
    knime
  10. Go to item
    Node / Other
    PMML Ensemble to Table
    Analytics Mining Ensemble Learning
    +1
    Transforms a PMML document which contains a MiningModel that has several segments into a table. The table has one row per segment…
    0
    knime
  11. Go to item
    Node / LoopEnd
    Voting Loop End
    Analytics Mining Ensemble Learning
    This node defines the loop end in a sequence of models that are applied to a test dataset. In each iteration the selected predict…
    0
    knime
  12. Go to item
    Node / Other
    Table to PMML Ensemble
    Analytics Mining Ensemble Learning
    +1
    Transforms a table of PMML documents with a tree model into a single PMML document with a mining model that contains all tree mod…
    0
    knime
  13. Go to item
    Node / LoopEnd
    Model Loop End
    Analytics Mining Ensemble Learning
    Collects and combines all models provided during the loop iterations into a table with one column.
    0
    knime
  14. Go to item
    Node / LoopStart
    Model Loop Start
    Analytics Mining Ensemble Learning
    Provides one model from the input table at a time to the output.
    0
    knime
  15. Go to item
    Node / Other
    Model to Cell
    Analytics Mining Ensemble Learning
    Converts a model input into a single table cell.
    0
    knime
  16. Go to item
    Node / Predictor
    Prediction Fusion
    Analytics Mining Ensemble Learning
    +1
    Fuses multiple prediction confidences into one, combined prediction, using the selected fusion method. The selected fusion method…
    0
    knime
  17. Go to item
    Node / LoopEnd
    Boosting Predictor Loop End
    Analytics Mining Ensemble Learning
    Together with the corresponding loop start node a boosting prediction loop can be constructed. It uses the weighted models an cre…
    0
    knime
  18. Go to item
    Node / LoopStart
    Boosting Predictor Loop Start
    Analytics Mining Ensemble Learning
    Together with the corresponding loop end node a boosting prediction loop can be constructed. It uses the weighted models an creat…
    0
    knime
  19. Go to item
    Node / Other
    Cell To Model
    Analytics Mining Ensemble Learning
    Converts a single table cell into a model output.
    0
    knime
  20. Go to item
    Node / LoopEnd
    Delegating Loop End (deprecated)
    Analytics Mining Ensemble Learning
    The delegating nodes are deprecated since 2.10. Please use the Recursive Loop Nodes instead. The data passed to port 0 is collect…
    0
    knime

KNIME
Open for Innovation

KNIME AG
Talacker 50
8001 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • E-Learning course
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • KNIME Open Source Story
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more on KNIME Business Hub
© 2023 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Credits