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sukanyabag/smotetomek.py

Last active January 2, 2023 16:35
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smotetomek.py
from imblearn.combine import SMOTETomek
# Implementing Oversampling for Handling Imbalanced
smk = SMOTETomek(random_state=42)
X_res,y_res=smk.fit_sample(X,Y)
os_us = SMOTETomek(ratio=0.5)
X_train_res1, y_train_res1 = os_us.fit_sample(X, Y)
X_train_res1.shape,y_train_res1.shape
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