Table 3 Accuracy comparison of classification problems
From: Forecast of complex financial big data using model tree optimized by bilevel evolution strategy
| Â | E. coli | Glass identification | Liver disorders | Voice rehabilitation | Parkinson's disease | Connection bench | Wine |
|---|---|---|---|---|---|---|---|
Linear discriminant analysis | 13.1% | 59.3% | 64.4% | 68.8% | 85.7% | 78.8% | 97.8% |
Logistic regression | 88.1% | 59.3% | 66.7% | 87.5% | 83.7% | 88.5% | 100.0% |
Support vector machine | 86.9% | 72.2% | 67.8% | 75.0% | 93.9% | 82.7% | 100.0% |
Multi-layer perceptron | 87.3% | 66.1% | 71.4% | 83.4% | 87.1% | 87.7% | 100.0% |
Decision tree | 78.6% | 60.2% | 63.6% | 77.5% | 90.2% | 76.3% | 93.3% |
XG boost | 83.3% | 75.9% | 73.6% | 75.0% | 95.9% | 88.5% | 95.6% |
Bilevel GA by related work | 90.7% | 74.4% | 80.7% | 75.6% | 96.3% | 80.8% | 97.8% |
Bilevel GA by this study | 91.9% | 79.3% | 81.8% | 78.8% | 97.6% | 84.6% | 98.2% |