Table 4.

Classification of ASD and CN with deep neural networks with nodal hub measures and connectivity featues. * refers to a statistically significant result in comparison to all the others.

Model	Accuracy
Features: Ambivert degree + Part. coeff.
DNN (3 hidden layers of 40,20,10)	74.1%*
SVM (Poly, C = 0.01, $\gamma =0.1$)	59.1%
Features: (Ambivert degree, Part. coeff.)
DNN (3 hidden neurons layers of 50,32,10)	71.6%
SVM (Poly, C = 0.001, $\gamma =0.1$)	57.9%
Features: Ambivert degree
DNN (3 hidden neurons of 40,20,10)	71.3%
SVM (Poly, C = 0.01, $\gamma =0.1$)	59.2%
Features: Part. coeff.
DNN (3 hidden neurons layers of 40,20,10)	66.1%
SVM (Sigmoid, C = 1.0, $\gamma =0.01$)	53.7%
Features: Functional connectivity W
DNN (3 hidden layers of 1000,100,10)	72.1%