Mining precise cause and effect rules in large time series data of socio-economic indicators

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Table 12 Confusion matrix for proposed, statistical and non-statistical methods on different scales

Accuracy parameters	Proposed method	Li et al. (2013)	Jin et al. (2012)	Silverstein et al. (2000)	Granger causality	Bayesian network
WBD-10, Rules: 50, CR:16, NCR: 34
TP	15	13	12	11	11	12
TN	31	28	25	22	23	27
FP	3	6	9	12	11	7
FN	1	3	4	5	5	4
WBD-20, Rules: 100, CR:38, NCR: 62
TP	35	32	28	26	25	29
TN	56	51	46	41	42	48
FP	6	11	16	21	20	14
FN	3	6	10	12	13	9
WBD-30, Rules: 150, CR: 65, NCR: 85
TP	59	52	47	41	42	50
TN	75	69	62	55	56	66
FP	10	16	23	30	29	19
FN	6	13	18	24	23	15
WBD-40, Rules: 200, CR: 88, NCR: 112
TP	80	70	60	53	52	62
TN	100	91	80	70	68	81
FP	12	21	32	42	43	33
FN	8	18	28	35	37	31
WBD-50, Rules: 250, CR: 112, NCR: 138
TP	101	88	73	67	64	75
TN	122	109	93	84	82	94
FP	11	29	45	54	56	44
FN	11	24	39	45	48	37