GitHub - casperbh96/Nested-Cross-Validation: Nested cross-validation for unbiased predictions. Can be used with Scikit-Learn, XGBoost, Keras and LightGBM, or any other estimator that implements the scikit-learn interface.
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![Evaluating and Improving Model Performance through Cross-Validation | by Andrea D'Agostino | Towards Data Science Evaluating and Improving Model Performance through Cross-Validation | by Andrea D'Agostino | Towards Data Science](https://miro.medium.com/v2/resize:fit:1400/0*OqHOWjytY9muPWQL.png)
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![Tutorial 14: K-Fold Cross Validation using Keras Python | K-Fold Cross- Validation in Neural Network - YouTube Tutorial 14: K-Fold Cross Validation using Keras Python | K-Fold Cross- Validation in Neural Network - YouTube](https://i.ytimg.com/vi/pLFfCNa7vmg/hq720.jpg?sqp=-oaymwEhCK4FEIIDSFryq4qpAxMIARUAAAAAGAElAADIQj0AgKJD&rs=AOn4CLByh-3XbCNEtajv5kCjJzZ9-gkD0g)