# importing libraries
import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split as t_t_s
from sklearn import preprocessing
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import classification_report, roc_curve, roc_auc_score
from matplotlib import pyplot

#Reading data
data = pd.read_csv("https://github.com/mpourhoma/CS4661/raw/master/Heart_short.csv")

data.head()

#feature columns
feature_columns =['Age','RestBP', 'Chol', 'RestECG', 'MaxHR','Oldpeak']

cols = data[feature_columns]
lable = data['AHD']