DS_11.py

# -*- coding: utf-8 -*-
"""Untitled0.ipynb

Automatically generated by Colaboratory.

Original file is located at
    https://colab.research.google.com/drive/1RXFcKTdt4SvvdG7BMqUIJtbYJRUHUu31
"""

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.linear_model import LogisticRegression
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score
from sklearn.metrics import roc_auc_score
from sklearn.metrics import roc_curve

data = pd.read_csv('creditcard.csv')

X = data.loc[:, data.columns != 'Class']
y = data["Class"]
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)

clf = LogisticRegression(random_state=0, solver='lbfgs').fit(X_train, y_train)
y_pred = clf.predict(X_test)

score = accuracy_score(y_test, y_pred)
score

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