Feature Selection Based on Machine Learning in MRIs for Hippocampal Segmentation

Table 2

Classification result on all input features using Näive Bayes Classifier in 5-fold cross validation based on confusion matrix.

315 input features	Completeness of a class	Purity of a class	Contamination of a class
Hippocampus	79%	62%	38%
Not-hippocampus	63%	80%	20%
Efficiency	70%