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Table 1 Features for ClassifierAttributeEval algorithm sorted by relevance

From: An application of machine learning with feature selection to improve diagnosis and classification of neurodegenerative disorders

ClassifierAttributeEval

 

% Feature

% Feature

% Feature

% Feature

% Feature

0.144 TemporalPole Mid L

0.087 Parahippocamp L

0.055 Occipital Mid R

0.031 Supramarginal R

0.015 Paracentrallobule LM

0.137 SMA L

0.080 Occipital Mid L

0.051 Frontal Sup Medial L

0.031 Precuneus L

0.015 Precentral R

0.135 TemporalInf L

0.077 CingulumPost L

0.050 Cerebellum 8 L

0.030 Cerebellum 9 L

0.010 Rolandic Oper R

0.133 Fusiform L

0.077 TemporalSup L

0.049 Frontal Sup R

0.029 Insula R

0.010 Cerebellum 8 R

0.123 SMA R

0.075 Cerebellum 6 R

0.049 CingulumAnt R

0.027 ParietalInf L

0.010 Olfactory R

0.117 Occipital Inf L

0.072 Cuneus L

0.047 Frontal Inf Tri L

0.024 Insula L

0.010 ParietalSup L

0.110 CingulumAnt L

0.067 Frontal Sup L

0.041 TemporalMid R

0.023 Occipital Sup L

0.007 Paracentrallobule R

0.100 Angular R

0.064 Vermis 8

0.037 Supramarginal L

0.021 Frontal Mid R

0.003 Poscentral L

0.097 TemporalMid L

0.059 Frontal Inf Oper L

0.037 Hippocampus L

0.019 Thalamus L

0.001 Frontal Inf Orb L

0.093 Angular L

0.057 Precentral L

0.037 TemporalInf R

0.019 Heschl L

0.000 Sexo