ML | MultiLabel Ranking Metrics – Coverage Error
Code: To check for coverage Error for any prediction scores with true-labels using scikit-learn.
# Import dataset import numpy as np from sklearn.metrics import coverage_error # Create Imaginary prediction and truth dataset y_true = np.array([[1, 0, 1], [0, 0, 1], [0, 1, 1]]) y_pred_score = np.array([[0.75, 0.5, 1], [1, 1, 1.2], [2.3, 1.2, 0.1]]) print(coverage_error(y_true, y_pred_score)) |
Output:
coverage error of 2.0
[1, 0, 1]
(here [0.75, 0.5, 1])
2.0
Contact Us