Compare classification performance. Papa et al. (2012) applied sequencing data to supervised learning classification algorithms using a software pipeline called Synthetic Learning in Microbial Ecology (SLiME), which utilizes relevant metadata as classification labels. They achieved an average AUC of 0.83 on fecal samples over three repeated 10-fold cross-validation. We trained both the Modified DeepInsight and the Original DeepInsight models 1,000 trials using Optuna and selected the maximum AUC value as the final result.

<p>Compare classification performance. Papa et al. (2012) applied sequencing data to supervised learning classification algorithms using a software pipeline called Synthetic Learning in Microbial Ecology (SLiME), which utilizes relevant metadata as classification labels. They achieved an avera...

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