Fig. 2From: BCDForest: a boosting cascade deep forest model towards the classification of cancer subtypes based on gene expression dataIllustration of boosting cascade forest structure. Each level of the cascade consists of two random forests (black) and two completely random forests (red). The standard deviation of top-k important features in each forest will compose a new feature to be concatenated in the next cascade level to emphasize the discriminative featuresBack to article page