Not the answer you're looking for? Is x%(1e9 + 7) and x%(10**9 + 7) different in Python? Would Marx consider salary workers to be members of the proleteriat? I tried istalling imblearn using the following suggested in other stackoverflow questions: None of these seem to help Any ideas? Below are some programs in which depict how to apply oversampling and undersampling to the dataset: from imblearn.over_sampling import RandomOverSampler, Parameters(optional): sampling_strategy=auto, return_indices=False, random_state=None, ratio=None, Implementation:oversample = RandomOverSampler(sampling_strategy=minority)X_oversample,Y_oversample=oversample.fit_resample(X,Y), Return Type:a matrix with the shape of n_samples*n_features, from imblearn.over_sampling import SMOTE, ADASYN, Parameters(optional):*, sampling_strategy=auto, random_state=None, n_neighbors=5, n_jobs=None, Implementation:smote = SMOTE(ratio=minority)X_smote,Y_smote=smote.fit_resample(X,Y), from imblearn.under_sampling import EditedNearestNeighbours, Parameters(optional): sampling_strategy=auto, return_indices=False, random_state=None, n_neighbors=3, kind_sel=all, n_jobs=1, ratio=None, Implementation:en = EditedNearestNeighbours()X_en,Y_en=en.fit_resample(X, y), from imblearn.under_sampling import RandomUnderSamplerParameters(optional): sampling_strategy=auto, return_indices=False, random_state=None, replacement=False, ratio=None, Implementation:undersample = RandomUnderSampler()X_under, y_under = undersample.fit_resample(X, y), Return Type: a matrix with the shape of n_samples*n_features, Python Programming Foundation -Self Paced Course, twitter-text-python (ttp) module - Python, Secrets | Python module to Generate secure random numbers, Python calendar module : formatmonth() method, Python | Writing to an excel file using openpyxl module, Prefix matching in Python using pytrie module. Package versions are managed by the package management system called conda. In which disembodied brains in blue fluid try to enslave humanity an regarding.