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 vote214 views1 answer
Dataframe no names from file
Python
4 votes204 views2 answers
Python press any key to continue
Python
0 vote186 views1 answer
Sklearn labelbinarizer in pipeline
Python
28 votes210 views2 answers
Pandas replace nan with value above
Python
0 vote188 views1 answer
TypeError: can only concatenate str (not "method") to str
Python
0 vote198 views1 answer
Pip install for python 2 and python3
Python
-1 vote199 views1 answer
Figure vs plot matplotlib
Python
0 vote198 views1 answer
Python get chars among quotation marks
Python
8 votes203 views3 answers
Python split range into n groups
Python
0 vote209 views1 answer
Python program to print prime numbers in an interval
Python