Classification

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Description

The Classification node is used to apply a classification model to a data set.

Configuration Options

Basic Configuration Options

Setting Description\Parameters
Model Type The model type

Options
  • LogisticRegression
  • RandomForest
  • GradientBoostedTrees
  • NeuralNetwork
Model Action RebuildAndScore will automatically rebuild the model everytime you score

Options
  • Score
  • RebuildAndScore
Target The column we are predicting
Predictors The columns we are using to predict
Split Columns Optional setting to split the data/models based on a value in the selected columns
Role Column Optional column to further split data into SCORING or MODELING
Num Threads Number of threads to allocate for the processing of this node

Advanced Configuration Options

Setting Description
Include Local Variable Importance in Output Add local variable importance (for binary targets only)
Top Local Variables in Output Number of top local variables to include in output