cross validation train code example

Example 1: how to import cross_validation from sklearn

from sklearn.model_selection import cross_validate

Example 2: cross validation

Cross-validation is a resampling procedure used to evaluate machine learning models on a limited data sample. The procedure has a single parameter called k that refers to the number of groups that a given data sample is to be split into. As such, the procedure is often called k-fold cross-validation.