Table 5.

Features can be added to iMic’s learning. Average AUCs of iMic-CNN2 with and without non-microbial features as well as average results of naive models with non-microbial features. The results are the average AUCs on an external test with 10 CVs $\pm$ their standard deviations (stds).

	iMic-CNN2 + non -microbial	iMic-CNN-only micro	RF+ non-microbial	SVC + non-microbial	LR + non-microbial	FCN + non-microbial
Milk allergy	$0.750\pm 0.04$	$0.704\pm 0.03$	$0.546\pm 0.03$	$0.478\pm 0.04$	$0.600\pm 0.03$	$0.661\pm 0.04$
Nut allergy	$0.680\pm 0.02$	$0.640\pm 0.01$	$0.630\pm 0.03$	$0.661\pm 0.02$	$0.603\pm 0.02$	$0.570\pm 0.03$
Peanut allergy	$0.633\pm 0.04$	$0.588\pm 0.03$	$0.582\pm 0.05$	$0.493\pm 0.05$	$0.427\pm 0.06$	$0.532\pm 0.07$