score:浮点数 例子: >>>importnumpyasnp>>>fromsklearn.metricsimportlabel_ranking_average_precision_score>>>y_true = np.array([[1,0,0], [0,0,1]])>>>y_score = np.array([[0.75,0.5,1], [1,0.2,0.1]])>>>label_ranking_average_precision_score(y_true, y_score)0.416......
label_ranking_average_precision_score is a measure of multi-class multi-label classifier performance, defined as the average precision over all the truth labels in an eval set of samples. The value being averaged is the proportion of correct labels in a per-sample ranked list of labels (classe...