How to plot ROC curve in Python

Question

I am trying to plot a ROC curve to evaluate the accuracy of a prediction model I developed in Python using logistic regression packages. I have computed the true positive ra

Answer 1

AUC curve For Binary Classification using matplotlib

from sklearn import svm, datasets
from sklearn import metrics
from sklearn.linear_model import LogisticRegression
from sklearn.model_selection import train_test_split
from sklearn.datasets import load_breast_cancer
import matplotlib.pyplot as plt

Load Breast Cancer Dataset

breast_cancer = load_breast_cancer()

X = breast_cancer.data
y = breast_cancer.target

Split the Dataset

X_train, X_test, y_train, y_test = train_test_split(X,y,test_size=0.33, random_state=44)

Model

clf = LogisticRegression(penalty='l2', C=0.1)
clf.fit(X_train, y_train)
y_pred = clf.predict(X_test)

Accuracy

print("Accuracy", metrics.accuracy_score(y_test, y_pred))

AUC Curve

y_pred_proba = clf.predict_proba(X_test)[::,1]
fpr, tpr, _ = metrics.roc_curve(y_test,  y_pred_proba)
auc = metrics.roc_auc_score(y_test, y_pred_proba)
plt.plot(fpr,tpr,label="data 1, auc="+str(auc))
plt.legend(loc=4)
plt.show()