Research Article
Evaluation of Stream Mining Classifiers for Real-Time Clinical Decision Support System: A Case Study of Blood Glucose Prediction in Diabetes Therapy
Table 2
Results of the accuracy test.
| Accuracy | VFDT | iOVFDT | Bayes | Perceptron |
| Mean | 87.4314% | 86.4102% | 82.6453% | 25.4779% | Max | 95.6810% | 93.7930% | 95.1720% | 91.6670% | Min | 78.8460% | 79.3100% | 25.3010% | 0.0000% | Std. dev. | 0.0403 | 0.0342 | 0.1184 | 0.3164 | Quartiles 25 | 85.4633 | 84.4560 | 81.5950 | 0.0000 | Quartiles 50 | 87.3395 | 86.1990 | 85.6170 | 11.4720 | Quartiles 75 | 90.2530 | 89.0150 | 88.4955 | 53.8140 |
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