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. 2014 Aug 6;41(2):419–428. doi: 10.1093/schbul/sbu099

Fig. 3.

Fig. 3.

Distribution of AUCs for 100 classifiers built with random data. Shown is a beta distribution fit and P value (A) for UC vs CHR-P and (B) CHR-NP vs CHR-P. For UC vs P: the alpha values were >.2 for both Kolmogorov-Smirnov and Anderson-Darling tests of fit with beta distributions. Using the top 15, the area under the receiver operating curve (AUC) for true classifier on true data was 0.91. For the beta fit, this value is out of range and has a P value = 0. For NP vs P: the alpha values were >.2 for both Kolmogorov-Smirnov and Anderson-Darling tests of fit with beta distributions. Using the top 15, the AUC for true classifier on true data was 0.88. For the beta fit, this value has a P value = 6.51E-05.