Research Article
One-Step Dynamic Classifier Ensemble Model for Customer Value Segmentation with Missing Values
Table 7
McNemar’s test for pairwise comparison of performance in “China churn” dataset.
| Model | LMF | KI-SVM | MS-SVM | EM-SVM | RI-SVM |
| ODCEM | 15.254 (0.0000) | 13.136 (0.0003) | 12.971 (0.0003) | 11.529 (0.0007) | 14.469 (0.0001) | LMF | | 3.0480 (0.0809) | 4.0364 (0.0367) | 11.256 (0.0008) | 0.0280 (0.8676) | KI-SVM | | | 0.1880 (0.6650) | 4.6880 (0.0304) | 3.1840 (0.0744) | MS-SVM | | | | 2.7130 (0.1102) | 3.5000 (0.0614) | EM-SVM | | | | | 11.726 (0.0006) |
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Note: the results listed in Table 7 are the Chi squared values and P values are in brackets.
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