Table 3.

Accuracy rates of machine learning methods in predicting survival status of patients using all data without feature selection.

Fine tree	81
Medium tree	81
Coarse tree	81.9
Binary GLM logistic regression	81
Efficient logistic regression	86.7
Efficient linear SVM	86.7
Gaussian Naive Bayes	77.8
Kernel Naive Bayes	80.3
Linear SVM	86.3
Quadratic SVM	85.4
Cubic SVM	86.7
Fine Gaussian SVM	86.7
Medium Gaussian SVM	86.7
Coarse Gaussian SVM	86.7
Boosted trees	84.4
Bagged trees	85.4
RUS boosted trees	77.5
Narrow neural network	84.1
Medium neural network	84.8
Wide neural network	85.7
Bilayered neural network	82.2
Trilayered neural network	82.5
SVM kernel	87
Logistic regression kernel	86.7

GLM = generalized linear model, SVM = support vector machine.