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KNIME Analytics Bagging Ensemble models Prediction C4.5
  1. Workflow
    Training a Decision Tree
    Classification Machine learning Prediction
    +9
    Training a decision tree and training a random forest of decision trees. Adult.csv dataset describes US census information. Outpu…
    rs1 > Public > 09_Random_Forest
    1
    rs1
  2. Workflow
    Random Forest, Gradient Boosted Trees, and TreeEnsemble
    Classification Machine learning Prediction
    +9
    This workflow solves a binary classification problem on the adult dataset using more advanced algorithms: - Random Forest - Gradi…
    rs1 > Public > Tree_Ensembles
    1
    rs1
  3. Workflow
    Training a Random Forest
    Classification Machine learning Prediction
    +11
    Training a decision tree and training a random forest of decision trees.
    knime > Examples > 04_Analytics > 04_Classification_and_Predictive_Modelling > 09_Random_Forest
    1
    knime
  4. Workflow
    Parameter Optimization (Table) Component with Range Sliders on Random Forest
    Parameter Optimization Machine Learning Random Forest
    +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 > 04_Parameter_Optimization_(Table)_Component_with_Range_Sliders_on_Random_Forest
    0
    knime
  5. 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
  6. Workflow
    Training a Random Forest
    Classification Machine learning Prediction
    +9
    Training a decision tree and training a random forest of decision trees.
    atomnous > Public > 04_Classification_and_Predictive_Modelling > 09_Random_Forest
    0
    atomnous
  7. Workflow
    Classification of written letters with a Random Forest
    Classification Machine learning Prediction
    +7
    Training a random forest to classify written letters. This is the solution to the exercise in the KNIME e-learning course under h…
    rs1 > Public > Clax_Written_Letters_Random_Forest
    0
    rs1
  8. Workflow
    Random Forest, Gradient Boosted Trees, and TreeEnsemble
    Classification Machine learning Prediction
    +11
    This workflow solves a binary classification problem on the adult dataset using more advanced algorithms: - Random Forest - Gradi…
    knime > Academic Alliance > Guide to Intelligent Data Science > Example Workflows > Chapter9 > 04_TreeEnsemble
    0
    knime
  9. Workflow
    Training a Random Forest
    Classification Machine learning Prediction
    +9
    Training a decision tree and training a random forest of decision trees.
    sebastian_sauer > Public > titanic-rf1
    0
    sebastian_sauer