Mushroom Toxicity Recognition Based on Multigrained Cascade Forest

Figure 1

Flowchart of the classifier model. It consists of four main steps. (1) The missing values in the mushroom dataset are solved in two ways. (2) Seventy-five percent of the dataset is used as the training data. (3) The gcForest classifier is built on the mushroom dataset. (4) The maximum probability of whether the mushroom is toxic is determined according to the mushroom features.