Research Article
Weighted Bayesian Belief Network: A Computational Intelligence Approach for Predictive Modeling in Clinical Datasets
Table 4
Performance of WBBN on various Clinical Datasets.
| | Datasets | No. ofclass labels | Minimum threshold | Trainingdataset (%) | Testingdataset (%) | No. of strong association rulesbased on WBC and WBL | Accuracy (%) |
| | Heart | 5 | Support = 36% | 70 | 30 | 7 | 92.7 | | Confidence = 70% |
| | Pima indian | 1 | Support = 40% | 80 | 20 | 7 | 95.8 | | Confidence = 80% |
| | Hepatitis | 2 | Support = 36% | 70 | 30 | 6 | 94.18 | | Confidence = 70% |
| | Liver disorder | 2 | Support = 40% | 70 | 30 | 5 | 94.3 | | Confidence = 80% |
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