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

0 vote161 views1 answer
ModuleNotFoundError: No module named 'App_Order'
Python
0 vote174 views1 answer
Python kill process by name
Python
0 vote281 views1 answer
Python loop break on keypress
Python
0 vote197 views1 answer
Print to the text file using inline file argument
Python
-2 votes168 views4 answers
DFS
Python
0 vote229 views1 answer
IsADirectoryError: [Errno 21] Is a directory: '/'
Python
0 vote178 views1 answer
Find element in list that matches a condition
Python
1 vote156 views1 answer
Learningrate scheduler tensorflow
Python
4 votes163 views2 answers
How to count range in django template
Python
0 vote166 views1 answer
Gets an existing SparkSession or, if there is no existing one, creates a new
Python