https://www.selleckchem.com/pr....oducts/epz011989.htm
CNN results were compared with three benchmark ML methods Support Vector Machine, Random Forest and regularized Linear Discriminant Analysis. Intra- and inter-subject methods of HP optimization were tested and the effects of HPs statistically analyzed. Accuracies obtained by the CNNs were significantly greater than the benchmark methods when trained on both datasets (words 24.97%, p less then 1 × 10-7, chance 16.67%; vowels 30.00%, p less then 1 × 10-7, chance 20%). The effects of varying HP values, and interactions between HPs and th
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