A Cascade Flexible Neural Forest Model for Cancer Subtypes Classification on Gene Expression Data

<div>Structure of FNT Group Forest. Each forest has <i>K</i> FNT Groups. For the four-classification problem, there are 2 FNTs in each group. For all samples, FNT Group will produce a result such as {[0.02, 0.75] [0.35, 0.52] … [0.95, 0.83]}. At this time, the classification results of the whole FNT Group Forest for this sample were averaged, and the classification results of the whole FNT Group Forest for this sample were obtained as follows: [0.23, 0.70].</div>

Computational Intelligence and Neuroscience

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Figure 6

Figure 6: A Cascade Flexible Neural Forest Model for Cancer Subtypes Classification on Gene Expression Data 