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 vote122 views1 answer
Dataframe python unique values rows
Python
1 vote72 views1 answer
Nan in python what?
Python
0 vote127 views1 answer
Taking a list of strings as input, our matching function returns the count of the number of strings whose first and last chars of the string are the same. Also, only consider strings with length of 2 or more. python
Python
1 vote122 views1 answer
Python tipi array
Python
4 votes130 views1 answer
Df.sort_values(by='col1',asending=True)
Python
3 votes142 views1 answer
Python Program to check for balanced parentheses in an expression using stack class.
Python
0 vote133 views2 answers
Operator in django query
Python Django
1 vote142 views1 answer
Python tkinter lable on bottom of screen
Python
6 votes139 views3 answers
Python convert number to list of digits
Python
2 votes141 views1 answer
Python how to unnest a nested list
Python