Model Selection
The following commands are available to split train- and test-data. The commands can be applied to avoid overfitting, which is the event that occurs when a model fits exactly against its training data:
- Model Validation
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- Cross Validation Score
- Splitter
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- K Fold
- Leave One Out
- Stratified K Fold