Example of how to improve confidence in CV scores: using bagging, folds and using unique seed per bagging round, same seed per fold

bagging_folds_cv_training.py

bagging_count = 5
folds = 5
SEEDS = [1234, 4567, 8910, 1112, 1314] # arbitary seeds can be any non-repeating series of integers
for bagging_index in range(0, bagging_count): # 5 rounds
      stf = StratifiedKFold(n_splits=folds, shuffle=True, random_state=SEEDS[bagging_index])
      for fold, (training_index, validation_index) in skf.split(train_df, train_df.sentiment): # 5 rounds
          <rest of the training code>

# seeds used for each bagging round: 1234, 4567, 8910, 1112, 1314

# or 

bagging_count = 5
folds = 5
SEED = 1234 
for bagging_index in range(0, bagging_count): # 5 rounds
      stf = StratifiedKFold(n_splits=folds, shuffle=True, random_state=SEED + bagging_index)
      for fold, (training_index, validation_index) in skf.split(train_df, train_df.sentiment): # 5 rounds
          <rest of the training code>
          
# seeds used for each bagging round: 1234, 1235, 1236, 1237, 1238