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There was not a significant decrease in median classification accuracy of all accurately classified phenotypes (less than a 1% decrease; see also the threshold guide).
The upper half of Table 1 shows the median classification accuracy and ROC curve area achieved by individual datasets when N was 100.
With the identification of second highly ranked ion, i.e. m/z value 2916.61, the average test error rate was reduced to 0.054 and perfect median classification accuracy was achieved.
Similar(57)
Only seven probe sets achieved median male female classification accuracy above 75%% and only five above 90%%.
Table 1 summarizes the median of classification accuracy and AUC with N = 100 and the sized-weighted averages of these statistics were generally higher than those obtained from the individual datasets.
Our experiments show nearly identical median classification and variable selection accuracy for SLB forests and URF forests when applied to both simulated and real datasets.
Nevertheless, the average classification accuracy is comparable for these two methods, and for other compound classes, the classification accuracy based on median normalization was even higher.
Table 5 Classification accuracy.
Figure 6 Classification accuracy.
Average classification accuracy.
Improved classification accuracy.
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