Scikit learn roc curve

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

9 votes286 views1 answer
Except as Exception:
Python
3 votes277 views1 answer
How to insert item last in list python
Python
5 votes279 views3 answers
Python dataframe shape
Python
80 votes273 views6 answers
How to find python version
Python
6 votes305 views3 answers
Python colorama
Python
1 vote270 views2 answers
Add item to tuple
Python
5 votes286 views2 answers
Converting decimal to hex in python
Python
-1 vote299 views2 answers
Microsoft visual c++ 14.0 is required
Python
0 vote266 views1 answer
Pip install for python 2 and python3
Python
10 votes292 views4 answers
File path current directory python
Python