[Retracted] An Improved Brain MRI Classification Methodology Based on Statistical Features and Machine Learning Algorithms

Table 7

Classification accuracy of proposed method along with other well-known classification methods.

S. No.	Methodology	Classification accuracy
1	SF and ANN [31]	92%
2	DWT and ANN [32]	90%
3	SF, DWT, and ANN [4]	95%
4	SF and KNN [13]	96%
5	Proposed methodology	100%

SF: statistical features; DWT: discrete wavelet transforms; ANN: artificial neural network; KNN: -nearest neighbors’ algorithm.