Classification
- 13 Jan 2023
- 1 Minute to read
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Classification
- Updated on 13 Jan 2023
- 1 Minute to read
- Print
- DarkLight
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Description
The Classification node applies a classification model to a data set. Classification can be on text and non-text data.
Configuration Options
Basic Configuration Options
| Setting | Description\Parameters |
|---|---|
Split Columns | The selected columns split the data set over to build additional models. |
Model Type | The model type. Options
|
Model Action | RebuildAndScore will automatically rebuild the model every time you score. Options
|
Target | The column we are predicting; can be continuous or categorical in nature. |
Role Column | Splits input data into SCORING or TRAINING. Builds the model from TRAINING data. |
Predictors | The columns with which to predict. |
Advanced Configuration Options
Random Forest model-specific settings
| Setting | Description |
|---|---|
Output Local Variable Importance | Output local variable importance (for binary targets only, 0/1). |
Number of Top Local Variables | Number of local variables to output. |
Actions
| Action | Description |
|---|---|
Preview | Once the node is configured, the combined result set can be previewed at any time. |
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