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. 2020 Nov 10;14:601829. doi: 10.3389/fninf.2020.601829

Table 1.

Classification accuracy (represented in percentage %) on different dataset.

Drive Big neuron IJCNN1 Madelon
Our method 79.42 74.16 89.36 59.57
Standard RF 60.90 70.93 79.89 51.33
Robust node RF 63.79 70.99 78.92 50.53
Optimal RF 85.53 75.55 91.29 67.10

We show the accuracy on the training sample of 400 (DRIVE), 1,500 (Big Neuron), 300 (IJCNN1), and 400 (Madelon).