Update examples/plot_data_augmentation_search.py
@@ -236,7 +236,7 @@ train_X = SliceDataset(train_set, idx=0)
train_y = array([y for y in SliceDataset(train_set, idx=1)])
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-# Given the trialwise appoarch, here we use a the KFold approach and
+# Given the trialwise approach, here we use a the KFold approach and
# GridSearchCV.
from sklearn.model_selection import KFold, GridSearchCV
