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
  • Cross Validation Score
Splitter
  • K Fold
  • Leave One Out
  • Stratified K Fold