Cross Validation

Cross Validation

Cross validation is a resampling procedure used to evaluate machine learning models on a limited data sample.

Cross Validation Example

from sklearn.model_selection import cross_val_score
import numpy as np

scores = cross_val_score(model, X, y, cv=5)
print("Accuracy: %0.2f (+/- %0.2f)" % (scores.mean(), scores.std() * 2))