Cross Validation

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:

1. K fold Cross validation
2. Stratified K fold cross validation using sklearn library and write a tutorial on them