| Class | Description |
|---|---|
| DefaultIgSplit |
Default, not optimized, implementation of IgSplit
|
| IgSplit |
Computes the best split using the Information Gain measure
|
| OptIgSplit |
Optimized implementation of IgSplit
This class can be used when the criterion variable is the categorical attribute. |
| RegressionSplit |
Regression problem implementation of IgSplit.
|
| Split |
Contains enough information to identify each split
|
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