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

Table 2 Results of the cross validation experiment

Algorithm	Mean accuracy	Accuracy as percentage (%)	Standard deviation (SD)
Logistic regression	0.753378	75.33	0.034451
Linear discriminant analysis	0.748898	74.89	0.036810
k-Nearest neighbors classifier	0.828459	82.84	0.030710
Decision tree classifier	0.800764	80.07	0.045553
GaussianNB	0.748922	74.89	0.052582
SVC	0.815082	81.50	0.043396
Random forest classifier	0.843629	84.36	0.042054

The table visualize the performance of each machine learning algorithm received at the cross-validation experiment over the training data set and the standard deviations for each result

ISSN: 1475-925X