Smart Learning Environments

Table 6 Results of the complete process for PHY and BIO target concepts using as evaluation metrics P (precision), TP (true positives), and FP (false positives)

From: Exploring knowledge graphs for the identification of concept prerequisites

		PHY			BIO
		FP	TP	P	FP	TP	P
CM	SemRefD_HW>0.1	52	49	0.485	72	59	0.45
	SemRefD_HW>0.2	26	30	0.536	42	34	0.45
	SemRefD_HW>0.3	3	4	0.571	4	5	0.56
	SemRefD_NHW>0.1	16	52	0.765	23	61	0.73
	SemRefD_NHW>0.2	7	24	0.774	10	31	0.76
	SemRefD_NHW>0.3	2	12	0.857	2	14	0.88
	SemRefD_JW>0.1	32	49	0.605	50	59	0.54
	SemRefD_JW>0.2	13	28	0.683	21	34	0.62
	SemRefD_JW>0.3	7	11	0.611	9	13	0.59
LC (l_max=1)	SemRefD_HW>0.1	40	35	0.467	50	42	0.46
	SemRefD_HW>0.2	9	13	0.591	14	15	0.52
	SemRefD_HW>0.3	3	5	0.625	4	6	0.60
	SemRefD_NHW>0.1	10	47	0.825	18	56	0.76
	SemRefD_NHW>0.2	5	25	0.833	10	29	0.74
	SemRefD_NHW>0.3	1	12	0.923	3	15	0.83
	SemRefD_JW>0.1	26	42	0.618	29	51	0.64
	SemRefD_JW>0.2	13	22	0.629	19	28	0.60
	SemRefD_JW>0.3	5	9	0.643	6	11	0.65
LC (l_max=2)	SemRefD_HW>0.1	55	50	0.476	84	58	0.41
	SemRefD_HW>0.2	29	29	0.500	46	37	0.45
	SemRefD_HW>0.3	7	7	0.500	11	10	0.48
	SemRefD_NHW>0.1	21	61	0.744	35	79	0.69
	SemRefD_NHW>0.2	10	33	0.767	15	37	0.71
	SemRefD_NHW>0.3	2	13	0.867	3	15	0.88
	SemRefD_JW>0.1	41	62	0.602	69	74	0.52
	SemRefD_JW>0.2	21	38	0.644	32	47	0.59
	SemRefD_JW>0.3	5	11	0.733	7	13	0.65

Best values per metric and search/pruning strategy are bold

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