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Table 1 ANOVA f-test feature selection

From: Feature extraction from MRI ADC images for brain tumor classification using machine learning techniques

Feature

ANOVA f-test score (mean value)

Mean pixel value of ADC

32.3343

Skewness

3.3444

Kurtosis

9.6250

GLCM mean 1

32.6372

GLCM mean 2

29.1327

GLCM Var 1

14.0761

GLCM Var 2

27.5219

GLCM energy

33.9675

GLCM entropy

4.989

GLCM contrast

47.9462

GLCM homogeneity

3.4572

GLCM correlation

48.6392

GLCM prominence

15.4134

GLCM shade

17.1677

Patient age

9.4337

Patient gender

73.7926

  1. The table visualize the performance of each feature at the ANOVA f-test Feature Selection process. The data set went through the ANOVA f-test Feature Selection process for 5 times and the mean values were calculated. There were slight differences of values received at each time due to stochastic nature of the algorithm, or differences in numerical precision or evaluation procedure