train.py

import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from sklearn.neural_network import MLPClassifier
from sklearn.metrics import classification_report,confusion_matrix

import seaborn as sns

import matplotlib.pyplot as plt

from sklearn.preprocessing import StandardScaler, RobustScaler, MinMaxScaler
from sklearn.model_selection import train_test_split, StratifiedShuffleSplit, cross_val_score, GridSearchCV, cross_val_predict
from sklearn.metrics import confusion_matrix, precision_score, recall_score, f1_score, accuracy_score, roc_curve, roc_auc_score

from sklearn.ensemble import RandomForestClassifier
from sklearn.tree import DecisionTreeClassifier
from sklearn.linear_model import LogisticRegression
from sklearn.linear_model import SGDClassifier
from sklearn.neighbors import KNeighborsClassifier
from sklearn.svm import SVC