方法证据记录
Accuracy
Accuracy is the proportion of correct predictions among the total number of predictions made by a classification model. It is the most intuitive performance metric and measures how often the classifier makes correct predictions overall, regardless of class.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Classification Accuracy
分类方法记录 · mcdm / model-evaluation
- Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874. · DOI 10.1016/j.patrec.2005.10.010
- 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
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