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

Table 1

Classification outcomes of AORNDL-MIC approach on BCI competition 2003 III datasets.

No. of iterations	Precision	Recall	Accuracy	F-score	Kappa
Iteration-1	97.10	95.71	96.43	96.40	95.26
Iteration-2	97.10	95.71	96.43	96.40	95.26
Iteration-3	97.18	98.57	97.86	97.87	97.13
Iteration-4	93.15	97.14	95.00	95.10	93.24
Iteration-5	94.37	95.71	95.00	95.04	93.30
Average	95.78	96.57	96.14	96.16	94.84