Performances using LDA and Random Forests (RF) for <i>S</i> = 2.
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Both classifiers were trained on 70% of the data for all 190 in silico communities, after which they predicted the population to which individual cells belong contained in 30% held-out test sets. We denote the mean AUC (μAUC) and accuracy (μacc), along with their standard deviation (σAUC/acc) and the percentage of communities reporting a performance of 0.90 or higher.
创建时间：
2017-02-02
