Feature Selection Based on Machine Learning in MRIs for Hippocampal Segmentation

Table 10

Classification result on 222 features selected through Random Forest method using Näive Bayes Classifier in -fold cross validation based on confusion matrix.

222 features; Random Forest	Completeness of a class	Purity of a class	Contamination of a class
Hippocampus	80%	62%	38%
Not-hippocampus	62%	80%	20%
Efficiency	70%