Multilabel Ranking Metrics-Label Ranking Average Precision | ML
0
1
Code : Python code to implement LRAP
# import numpy and scikit-learn libraries import numpy as np from sklearn.metrics import label_ranking_average_precision_score # take sample datasets y_true = np.array([[1, 0, 0], [1, 0, 1], [1, 1, 0]]) y_score = np.array([[0.75, 0.5, 1], [1, 0.2, 0.1], [0.9, 0.7, 0.6]]) # print the output print(label_ranking_average_precision_score( y_true, y_score)) |
Output :
0.777
[1, 0, 0]
[0, 1, 0]
[0, 0, 1]
[1, 0, 0], [1, 0, 1], [1, 1, 0]
5
nd
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