. Author manuscript; available in PMC: 2022 Aug 29.

Published in final edited form as: ACS Appl Mater Interfaces. 2018 Jan 2;10(1):139–149. doi: 10.1021/acsami.7b14197

Table 1. Statistics of Pathogen Attachment Neural Network (BRANN) Models Based on Molecular Descriptors^a.

				training set		test set
model	^Nhidden	N_eff	N_des	SEE	r²	SEP	r²
multipathogen (MLR)		22	22	0.30	0.59	0.28	0.60
multipathogen	7	488	41	0.16	0.86	0.19	0.81
P. aeruginosa	8	246	30	0.17	0.88	0.17	0.87
S. aureus	7	310	18	0.12	0.87	0.14	0.78
uropathogenic E. coli	7	33	18	0.30	0.78	0.24	0.94

N_eff is the number of effective adjustable weights, N_des is the number of descriptors employed, N_hidden in the number of nodes in the hidden layer, SEE is the standard error of estimation, SEP is the standard error of prediction, and r² is the squared correlation coefficient of the predictions.

Table 1. Statistics of Pathogen Attachment Neural Network (BRANN) Models Based on Molecular Descriptorsa.

Table 1. Statistics of Pathogen Attachment Neural Network (BRANN) Models Based on Molecular Descriptors^a.