data science

Royal9
cross_validation_fig.pdf

fold 1 (training)

fold 2 (training)

fold 3 (training)

fold 4 (training)

fold 5 (validation)

training set

test set

Cross Validation

iteration 1

fold 1 (training)

fold 2 (training)

fold 3 (training)

fold 4 (validation)

fold 5 (training)

iteration 2

fold 1 (training)

fold 2 (training)

fold 3 (validation)

fold 4 (training)

fold 5 (training)

iteration 3

fold 1 (training)

fold 2 (validation)

fold 3 (training)

fold 4 (training)

fold 5 (training)

iteration 2

fold 1 (validation)

fold 2 (training)

fold 3 (training)

fold 4 (training)

fold 5 (training)

iteration 2

accuracy 1 accuracy 2 accuracy 3 accuracy 4 accuracy 5

output of the cross validation: average accuracy = (accuracy1 + accuracy2 + accuracy3 + accuracy4 + accuracy5) / 5