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Descrizione
This is a(n):
- New algorithm
- Update to an existing algorithm
- Error
- Proposal to the Repository
Details:
Cross-validation is a statistical method used to estimate the performance (or accuracy) of machine learning models. It is used to protect against overfitting in a predictive model, especially when the data is limited. I plan to add two (or more) types of cross validation techniques:
- K fold Cross validation
- Stratified K fold cross validation using sklearn library and write a tutorial on them