Abstract:The one-classifier and two-classifier significance testing for evaluation and comparison of classifiers are conducted to investigate the statistical significance of differences and provide quantitative information in terms of the significance level, i.e., p-value, in a new ROC analysis where three score distributions and two decision thresholds are employed, and data dependency caused by multiple use of the same subjects is involved. To analyze the performance of classifiers, the standard error of the cost fun… Show more
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