Sklearn roc curve

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

Scikit learn roc curve

   fpr,tpr = sklearn.metrics.roc_curve(y_true, y_score, average='macro', sample_weight=None)

Source: stackoverflow.com

Scikit learn roc curve

auc = sklearn.metric.auc(fpr, tpr)

Source: stackoverflow.com

Similar codes

0 vote183 views1 answer
Python string remove accent
Python
0 vote181 views2 answers
Python youtube view bot
Python
0 vote167 views1 answer
How to pick everything after a character in python
Python
1 vote202 views2 answers
Urllib quote_plus
Python
0 vote184 views1 answer
Pandas datafdrame pyplot
Python
68 votes201 views4 answers
How to define main in python
Python
-1 vote176 views1 answer
Unocode error pytonn
Python
0 vote177 views2 answers
Javascript python
Python
5 votes181 views3 answers
Pandas convert string to float
Python
0 vote204 views1 answer
Python list of dict change dicts id by position in list when moved
Python