Closed alexeygrigorev closed 2 years ago
0:00 Intro 0:22 K-fold cross validation 03:10 Create a train function 04:35 Create a predict function 05:22 Create the Kfold object 06:29 Using the kfold.split() method 07:55 Train a model for each fold and calculate roc_auc_score 09:44 Using the tqdm library 11:18 Parameter tuning 14:49 Train final model 16:27 When to use cross validation
Updated timecodes. Thank you!
Youtube video: https://www.youtube.com/watch?v=BIIZaVtUbf4