8.16.1.3. sklearn.metrics.auc¶
- sklearn.metrics.auc(x, y)¶
Compute Area Under the Curve (AUC) using the trapezoidal rule
Parameters : x : array, shape = [n]
x coordinates
y : array, shape = [n]
y coordinates
Returns : auc : float
Examples
>>> import numpy as np >>> from sklearn import metrics >>> y = np.array([1, 1, 2, 2]) >>> pred = np.array([0.1, 0.4, 0.35, 0.8]) >>> fpr, tpr, thresholds = metrics.roc_curve(y, pred) >>> metrics.auc(fpr, tpr) 0.75