in k-fold cross validation

i). we evaluate the model on each fold, which is of size N/k observations

ii.) we train the model on each fold, which is of the size N/k observations

iii.) The larger the k, The larger the bias, and the lower the variance

iv.) The larger the kk, the lower the bias. and the higher the variance