Fig. 3From: Shallow and deep learning classifiers in medical image analysisApplication of the random forest algorithm. Each decision tree in the forest calculates its own prediction: 250 trees predicted the analyzed sample as benign and 36 as malignant. It is shown that the result is the most frequent prediction made by the entire forest (benign tumor)Back to article page