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@MemphisMeng
Created August 3, 2020 20:35
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from sklearn import preprocessing
from imblearn.over_sampling import RandomOverSampler
le = preprocessing.LabelEncoder()
fixtures['Score'] = le.fit_transform(fixtures['Score'].astype(str))
ros = RandomOverSampler(random_state=42)
fixtures, Score_ = ros.fit_resample(fixtures.drop(columns=['Score']), fixtures['Score'])
fixtures['Score'] = le.inverse_transform(Score_)
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