System Rankings Sample Clauses

System Rankings. 3.2.1. Baseline Versus Random The baseline (Consensus) truth set yielded an evaluation set with a sensitivity of 0.744, meaning that about three quarters of the pairwise algorithm comparisons showed a significant difference in score. The 1000 Random truth sets had a mean sensitivity of 0.729, with a 0.05 confidence interval of 0.728 to 0.731, which is therefore significantly lower than the sensitivity of the Consensus truth set. The mean level of disagreement between Consensus and Random truth sets was 0.0727 (0.05 confidence interval: 0.0714, 0.0742). The disagreements are entirely attributable to differences in sensitivity, as there was not a single example where a significant difference in the baseline truth set was reversed in a Random truth set. In other words, using a Random truth set in lieu of the baseline set slightly reduces the ability to detect differences, but one will never predict that A>B if the baseline set predicts B>A, or vice versa. Because significance was computed at the 0.05 level, one expects the baseline level of disagreement to be at least 0.05. Indeed, the expected level of disagreement is higher because of the simultaneous testing of multiple hypotheses. This leaves 0.0227 or less, depending on how one corrects for multiple hypothesis testing, attributable to the difference in the method for compiling the truth set. Based on these results, there appears to be little practical difference in the results of an evaluation based on Consensus versus Random truth sets.
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Related to System Rankings

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