Effects of Pooling Samples on the Performance of Classification Algorithms: A Comparative Study
Figure 1
Performance of classifiers on individual samples and various pool sizes. A comparison of classifiers performances for datasets of individual samples and pool sizes of 2, 3, and 5 are shown. Misclassification rates rise with larger pool sizes. (a) and (b) show the comparison when numbers of markers are 2 and 10, respectively. The height of bars indicates 95% confidence interval from 300 replications.