Arithmetic Optimization with RetinaNet Model for Motor Imagery Classification on Brain Computer Interface

Table 3

Accuracy analysis of AORNDL-MIC technique with existing approaches on test BCI competition 2003, dataset III.

Methods	Accuracy
Hybrid KNN	84.29
CSP-SVM	82.86
Adaptive PP-Bayesian	90.00
STFT-KNN	83.57
STFT-DL	90.00
Optimized GA FKNN-LDA	84.00
WTSE-SVM	86.40
CWTFB-TL	95.71
AORNDL-MIC	96.14