import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split, GridSearchCV
from sklearn.preprocessing import LabelEncoder
from sklearn.ensemble import RandomForestClassifier
from sklearn.utils.class_weight import compute_class_weight
from sklearn.metrics import roc_auc_score

bank = pd.read_csv('data/Bank_data_to_class.csv', sep=',')

# Write your solution here :


