Model Selection

The model selection module in sorix offers fundamental tools for model evaluation and validation. Dividing data correctly and evaluating model performance accurately are vital steps for training models that generalize well to new data.

Available Tools

• Train-Test Split: Functionality to divide a dataset into training and testing sets, ensuring proper validation and avoiding data leakage.

More validation techniques, such as K-Fold Cross-Validation, will be added soon to further improve model evaluation in sorix.