Table 5 Optimum level of hyper parameters for maximum precision score and the maximum Recall score for the selected features, where n estimators is the number of trees in random forest, min sample split is the minimum number of samples required to split a node and max depth is the maximum number of levels in tree

From: Feature extraction from MRI ADC images for brain tumor classification using machine learning techniques