Table 4.
Mean testing accuracy of individual classification models after 50 replicates with standard deviation in the brackets
| Model | Accuracy |
|---|---|
| logistic regression | |
| penalized logistic regression | |
| cumulative probability model | |
| random forest | |
| weighted subspace random forest | |
| SVM with class weight | |
| SVM with polynomial kernel | |
| SVM with radial kernel | |
| K-nearest neighbor | |
| LDA | |
| sparsed LDA | |
| naive Bayes | |
| Bayes generalized linear model | |
| Gaussian process with polynomial kernel | |
| Gaussian process with radial kernel | |
| Neural network | |
| Monotone multi-layer perceptron neural network | |
| model average neural network | |
| stochastic gradient boosting |