multilabel_confusion_matrix计算class-wise或sample-wise多标签混淆矩阵,在多类任务中,标签以one-vs-rest方式二值化;而 confusion_matrix 为每两个类别之间的混淆计算一个混淆矩阵。 例子: Multilabel-indicator案例: >>> import numpy as np >>> from sklearn.metrics import multilabel_confusion_matrix >>> ...
@@ -534,9 +542,11 @@ def multilabel_confusion_matrix( labels = present_labels n_labels = None else: n_labels = len(labels) labels = np.hstack( [labels, np.setdiff1d(present_labels, labels, assume_unique=True)] labels = xp.asarray(labels, device=device_) n_labels = labels.shape...
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Compute the confusion matrix for a multi-label predictionmdata
Weighting Scheme for a Pairwise Multi-label Classifier Based on the Fuzzy Confusion Matrix. Weighting scheme for a pairwise multi-label classifier based on the fuzzy confusion matrix. Pattern Recognit. Lett.. 2018;103:60-67... P Trajdos,M Kurzynski - 《Pattern Recognition Letters》 被引量:...
Kurzynski, An extension of multi-label bi- nary relevance models based on randomized reference classi- fier and local fuzzy confusion matrix, in: Intelligent Data En- gineering and Automated Learning - IDEAL 2015, Springer International Publishing, 2015, pp. 69-76. doi:10.1007/ 978-3-319-...
Confusion matrixInformation theoryEntropyIn this work, we addressed the issue of improving the classification quality of label pairwise ensembles. Our goal is to improve the classification quality achieved by the ensemble via modification of the base classifiers that constitute the ensemble. To achieve ...
Currently the confusion_matrix support binary and multi-class classification, but not multi-label data yet.