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Table 10 Prediction accuracy of proposed, statistical and non-statistical methods on different scales

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

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
Sensitivity 0.94 0.81 0.75 0.69 0.69 0.75
Specificity 0.91 0.82 0.74 0.65 0.68 0.79
Precision 0.83 0.68 0.57 0.48 0.50 0.63
F-Score 0.88 0.74 0.65 0.56 0.58 0.69
Accuracy 0.92 0.82 0.74 0.66 0.68 0.78
Misclassification rate 0.08 0.18 0.26 0.34 0.32 0.22
WBD-20, Rules: 100, CR:38, NCR: 62
Sensitivity 0.92 0.84 0.74 0.68 0.66 0.76
Specificity 0.90 0.82 0.74 0.66 0.68 0.77
Precision 0.85 0.74 0.64 0.55 0.56 0.67
F-Score 0.89 0.79 0.68 0.61 0.60 0.72
Accuracy 0.91 0.83 0.74 0.67 0.67 0.77
Misclassification rate 0.09 0.17 0.26 0.33 0.33 0.23
WBD-30, Rules: 150, CR: 65, NCR: 85
Sensitivity 0.91 0.80 0.72 0.63 0.65 0.77
Specificity 0.88 0.81 0.73 0.65 0.66 0.78
Precision 0.86 0.76 0.67 0.58 0.59 0.72
F-Score 0.88 0.78 0.70 0.60 0.62 0.75
Accuracy 0.89 0.81 0.73 0.64 0.65 0.77
Misclassification rate 0.11 0.19 0.27 0.36 0.35 0.23
WBD-40, Rules: 200, CR: 88, NCR: 112
Sensitivity 0.91 0.80 0.68 0.60 0.59 0.70
Specificity 0.89 0.81 0.71 0.63 0.61 0.72
Precision 0.87 0.77 0.65 0.56 0.55 0.65
F-Score 0.89 0.78 0.67 0.58 0.57 0.68
Accuracy 0.90 0.81 0.70 0.62 0.60 0.72
Misclassification rate 0.10 0.20 0.30 0.39 0.40 0.32
WBD-50, Rules: 250, CR: 112, NCR: 138
Sensitivity 0.90 0.79 0.65 0.60 0.57 0.67
Specificity 0.88 0.79 0.67 0.61 0.59 0.68
Precision 0.90 0.75 0.62 0.55 0.53 0.63
F-Score 0.90 0.77 0.63 0.58 0.55 0.65
Accuracy 0.89 0.79 0.66 0.60 0.58 0.68
Misclassification rate 0.09 0.21 0.34 0.40 0.42 0.32