Research Article
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) | — | — |
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