Tumor Grade and Overall Survival Prediction of Gliomas Using Radiomics

Table 1

Models built with various machine learning techniques.

Classifier methods	Dimensionality reduction methods	Feature selection methods
Decision trees (DT)	Principal component analysis (PCA)	ANOVA F-score (FILT)
Random forest (RF)	Kernel PCA (KPCA)	Max 2D diameter (DIAM)
Bagging (BAG)	Independent component analysis (ICA)	—
Boosting (BST)	Factor analysis (FA)	—
Naïve bayes (NB)	—	—
Multilayer perceptron (MLP)	—	—
Support vector machine (SVM)	—	—
Logistic regression (LR)	—	—
k-Nearest neighbor (KNN)	—	—