Stratified Sampling

Split the dataset into training/testing based on the proportion in the original dataset.

Cross Validation

• K-fold cross validation
  • Randomly split the training set into K distinct subsets(folds)
  • Train & evaluate K times, using some folds for evaluation and others for training

Fine Tuning Hyperparameters

Grid search to find the best set of hyperparameters.