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| Class Summary | |
|---|---|
| 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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