Cross-validation is used to evaluate machine learning models on a limited data sample.It estimates the skill of a machine learning model on unseen data. The techniques creates and validates given model multiple times. We have 2–4 types of cross validation like Stratified, LOOCV, K-Fold etc. Here, we will study K-Fold technique. Let's split data 70:30, train model and test the given data-set to get accuracy.
Oct-29-2020, 13:11:16 GMT