January 8, 2021
Cross validation is performed to ensure that the model doesn’t overfits. If the prediction accuracy of your model on training data and unseen data have similar value, then your model is good to go. if the prediction accuracy on unseen data is significantly less than that on training data, then your model is overfitting.
by : Monis Khan
Quick Summary:
Cross validation is performed to ensure that the model doesn’t overfits. If the prediction accuracy of your model on training data and unseen data have similar value, then your model is good to go. if the prediction accuracy on unseen data is significantly less than that on training data, then your model is overfitting.