COLLECTING

import numpy as np

np.random.seed(2018)

from sklearn.datasets import load_breast_cancer
from sklearn.metrics import roc_auc_score, roc_curve
from sklearn.model_selection import train_test_split

from sklearn.naive_bayes import GaussianNB
from sklearn.ensemble import RandomForestClassifier
from sklearn.neural_network import MLPClassifier
import matplotlib
import matplotlib.pyplot as plt

data = load_breast_cancer()

X = data.data
y = data.target
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.5, random_state=17)

# Naive Bayes Classifier
nb_clf = GaussianNB()
nb_clf.fit(X_train, y_train)
nb_prediction_proba = nb_clf.predict_proba(X_test)[:, 1]

# Ranodm Forest Classifier
rf_clf = RandomForestClassifier(n_estimators=20)
rf_clf.fit(X_train, y_train)
rf_prediction_proba = rf_clf.predict_proba(X_test)[:, 1]

# Multi-layer Perceptron Classifier
mlp_clf = MLPClassifier(alpha=1, hidden_layer_sizes=150)
mlp_clf.fit(X_train, y_train)
mlp_prediction_proba = mlp_clf.predict_proba(X_test)[:, 1]


def roc_curve_and_score(y_test, pred_proba):
    fpr, tpr, _ = roc_curve(y_test.ravel(), pred_proba.ravel())
    roc_auc = roc_auc_score(y_test.ravel(), pred_proba.ravel())
    return fpr, tpr, roc_auc


plt.figure(figsize=(8, 6))
matplotlib.rcParams.update({'font.size': 14})
plt.grid()
fpr, tpr, roc_auc = roc_curve_and_score(y_test, rf_prediction_proba)
plt.plot(fpr, tpr, color='darkorange', lw=2,
         label='ROC AUC={0:.3f}'.format(roc_auc))
fpr, tpr, roc_auc = roc_curve_and_score(y_test, nb_prediction_proba)
plt.plot(fpr, tpr, color='green', lw=2,
         label='ROC AUC={0:.3f}'.format(roc_auc))
fpr, tpr, roc_auc = roc_curve_and_score(y_test, mlp_prediction_proba)
plt.plot(fpr, tpr, color='crimson', lw=2,
         label='ROC AUC={0:.3f}'.format(roc_auc))
plt.plot([0, 1], [0, 1], color='navy', lw=1, linestyle='--')
plt.legend(loc="lower right")
plt.xlim([0.0, 1.0])
plt.ylim([0.0, 1.05])
plt.xlabel('1 - Specificity')
plt.ylabel('Sensitivity')
plt.show()

Source: stackoverflow.com

Similar codes

2 votes88 views1 answer
Python how to obfuscate code
Python
0 vote115 views1 answer
Hostname python
Python
10 votes101 views3 answers
Package in python
Python
3 votes101 views1 answer
Python how to find gcd
Python
19 votes98 views2 answers
How to add up everything in a list python
Python
1 vote97 views1 answer
Xlabel seaborn
Python
0 vote105 views2 answers
Cron job python
Python
3 votes97 views1 answer
How to change a string to small letter in python
Python
1 vote103 views1 answer
Get body from request python
Python
3 votes98 views3 answers
Pandas merge two dataframes remove duplicates
Python