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    Classification
    • 23 Dec 2022
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    Contents

    Classification

    • Updated on 23 Dec 2022
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    Article summary

    Description

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

    Configuration Options

    Basic Configuration Options

    SettingDescription\Parameters
    Model TypeThe model type

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

    Options
    • Score
    • RebuildAndScore
    TargetThe column we are predicting
    PredictorsThe columns we are using to predict
    Split ColumnsOptional setting to split the data/models based on a value in the selected columns
    Role ColumnOptional column to further split data into SCORING or MODELING
    Num ThreadsNumber of threads to allocate for the processing of this node

    Advanced Configuration Options

    SettingDescription
    Include Local Variable Importance in OutputAdd local variable importance (for binary targets only)
    Top Local Variables in OutputNumber of top local variables to include in output
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