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Table 3 Accuracy comparison of classification problems

From: Forecast of complex financial big data using model tree optimized by bilevel evolution strategy

  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%