Roc curve python

import sklearn.metrics as metrics
# calculate the fpr and tpr for all thresholds of the classification
probs = model.predict_proba(X_test)
preds = probs[:,1]
fpr, tpr, threshold = metrics.roc_curve(y_test, preds)
roc_auc = metrics.auc(fpr, tpr)

# method I: plt
import matplotlib.pyplot as plt
plt.title('Receiver Operating Characteristic')
plt.plot(fpr, tpr, 'b', label = 'AUC = %0.2f' % roc_auc)
plt.legend(loc = 'lower right')
plt.plot([0, 1], [0, 1],'r--')
plt.xlim([0, 1])
plt.ylim([0, 1])
plt.ylabel('True Positive Rate')
plt.xlabel('False Positive Rate')
plt.show()

# method II: ggplot
from ggplot import *
df = pd.DataFrame(dict(fpr = fpr, tpr = tpr))
ggplot(df, aes(x = 'fpr', y = 'tpr')) + geom_line() + geom_abline(linetype = 'dashed')

Source: stackoverflow.com

Similar codes

13 votes312 views6 answers
Import matplotlib.pyplot as plt
Python
0 vote299 views2 answers
Insert character into string at position x python
Python
1 vote298 views1 answer
Pip is not a batch command but python is installed
Python
20 votes339 views6 answers
Random Number Generator
Python
22 votes279 views4 answers
Create virtualenv in python3
Python
4 votes312 views2 answers
Tqdm auto
Python
0 vote340 views1 answer
How to install a python packagae
Python
0 vote387 views1 answer
How to insert value in admin panel in django
Python Django
1 vote296 views1 answer
Apply a created function pandas
Python
0 vote295 views1 answer
Sklearn labelbinarizer in pipeline
Python