multilabel_load.py

import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

from sklearn.model_selection import train_test_split
from sklearn.metrics import confusion_matrix
from sklearn.metrics import roc_auc_score
from sklearn.metrics import classification_report
from sklearn.datasets import make_multilabel_classification
from xgboost import XGBClassifier
from sklearn.model_selection import KFold
from sklearn.multioutput import MultiOutputClassifier
from sklearn.pipeline import Pipeline