Table 3.

Classification statistics with various algorithm cut-off scores in the current study sample

Module	Algorithm cut-off score	Sensitivity	Specificity	False negative	False positive	Positive predictive value	Negative predictive value	Accuracy	Area under ROC curve
Module 1 Algorithm 1	10	99	55	1	45	95	88	94	0.92
	11▲	99	63	1	38	96	89	95
	12	97	68	3	33	96	75	94
	13	96	70	4	30	96	67	93
	14	94	73	6	28	97	60	92
	15*	91	80	9	20	97	53	90
	16■	90	83	10	18	98	50	89
	17	87	85	14	15	98	44	86
	18	83	88	17	13	98	38	83
Module 1 Algorithm 2	7	100	56	0	44	88	97	89	0.95
	8▲	99	64	1	36	90	95	90
	9	98	69	2	31	91	90	91
	10	96	77	4	23	93	86	91
	11*	94	82	6	18	94	80	91
	12■	90	85	10	15	95	73	89
	13	86	88	15	12	96	66	86
	14	79	92	21	8	97	59	82
	15	76	94	24	6	97	55	80
Module 2 Algorithm 1	6	98	52	2	48	68	95	75	0.92
	7▲	97	69	3	31	77	96	84
	8*	95	76	5	24	81	94	86
	9	87	80	13	20	82	86	84
	10■	84	86	16	14	86	83	85
	11	77	88	23	12	87	78	82
	12	71	93	29	7	91	75	82
Module 2 Algorithm 2	7	97	50	3	50	76	91	79	0.93
	8▲	96	65	4	35	82	90	84
	9■	94	76	6	24	86	88	87
	10*	92	80	8	20	88	86	87
	11	87	82	13	18	89	79	85
	12	83	86	17	14	90	75	84
	13	79	90	21	10	93	72	83
	14	73	94	27	6	95	68	81
Module 3	6	97	61	3	39	70	96	78	0.89
	7▲*	95	73	5	27	77	94	83
	8	88	78	12	22	79	87	83
	9■	81	83	19	17	82	83	82
	10	72	87	28	13	84	77	80

^▲autism spectrum cut-off in ADOS-2 manual

^■autism cut-off in ADOS-2 manual

^*optimal cut-off in the current sample

non-spectrum classification

autism spectrum classification

autism classification