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. 2017 Mar 18;5(1):16. doi: 10.3390/healthcare5010016

Table 2.

Comparison of Accuracy, Area Under Curve and Training Time for different classifiers.

Model Accuracy AUC Training Time
Complex Tree 88.8% 0.90 2.88 s
Simple Tree 86.2% 0.89 0.56 s
Linear Discriminant 73.3% 0.84 1.14 s
Quadratic Discriminant 77.6% 0.85 0.74 s
Logistic Regression 86.2% 0.89 2.72 s
Linear SVM 92.2% 0.98 1.41 s
Boosted Trees 78.4% 0.78 4.69 s
Bagged Trees 87.9% 0.96 4.32 s
Subspace Discriminant 85.3% 0.96 4.66 s
Subspace Trees 77.6% 0.86 4.96 s