Rekod bukti kaedah

Weighted F1

Weighted F1 computes the F1-score for each class and then takes a weighted average, where weights are proportional to the number of samples in each class (support). It provides a middle ground between macro and micro-averaging.

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Rekod sumber

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Weighted F1-Score

Rekod kaedah taksonomik · mcdm / model-evaluation

Powers, D. M. (2011). Evaluation: From Precision, Recall and F-Measure to ROC, Informedness, Markedness and Correlation. Journal of Machine Learning Technologies, 2(1), 37-63. · URL
Sokolova, M., Japkowicz, N., & Szpakowicz, S. (2006). Beyond Accuracy, F-Score and ROC: a Family of Discriminant Measures for Performance Evaluation. AI 2006, 4013, 1015-1021. · DOI 10.1007/11941439_114

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Taxonomic bucketF1-Scoremachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMacro-averaged F1machine-suggested · Relational suggestion, not evidence.Taxonomic bucketMicro-averaged F1machine-suggested · Relational suggestion, not evidence.