Cross Validation Overview with R

Cross Validation is used to evaluate the performance of machine learning models. Cross validation (CV) is one technique used to test the effectiveness of machine learning models, it is also a resampling procedure used to evaluate a model if we have limited data. To perform CV we need to keep aside a sample/portion of the data (training) on which is do not use to train the model, later us this sample for testing/validating.

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