Fig. 1From: BCDForest: a boosting cascade deep forest model towards the classification of cancer subtypes based on gene expression dataIllustration of cascade forest structure. Each level of the cascade consists of two random forests (black) and two completely random forests (red). Suppose there are three classes to predict; each forest outputs a three-dimensional class vector, which is then concatenated for representation of original input [23]Back to article page