Analysis of Different Classification Techniques for Two-Class Functional Near-Infrared Spectroscopy-Based Brain-Computer Interface

Table 7

Averaged values of the classification accuracies, precisions, and recalls of 2-feature combination across all subjects.

Classifiers	S1	S2	S3	S4	S5	S6	S7	Average
LDA
Accuracy	72.74	72.49	70.09	73.20	71.74	70.44	70.80	71.6 1.1
Precision	79.34	79.62	79.74	68.73	67.28	66.21	66.36	72.8 6.2
Recall	66.50	65.28	58.30	83.45	80.65	81.43	78.70	73.5 9.2
QDA
Accuracy	90.78	91.57	87.49	91.12	89.98	88.83	90.57	90.1 1.3
Precision	93.80	95.84	95.32	87.68	86.27	84.00	87.28	90.0 4.4
Recall	89.63	88.80	79.53	96.50	93.65	96.82	93.65	91.2 5.5
NN
Accuracy	69.63	69.87	69.85	70.19	69.58	68.89	70.44	69.8 0.5
Precision	67.97	68.73	69.90	70.31	71.24	67.16	68.18	69.1 1.3
Recall	70.81	72.14	72.31	68.21	74.53	66.32	68.38	70.4 2.6
Naïve Bayes
Accuracy	90.79	91.27	87.04	90.82	89.86	88.47	90.39	89.8 1.4
Precision	88.52	88.01	81.73	95.69	94.88	95.93	95.48	91.5 5.1
Recall	92.12	94.16	94.76	85.61	85.96	79.90	86.85	88.5 5.0
SVM
Accuracy	90.18	90.17	88.16	90.96	90.25	88.02	88.99	89.5 1.0
Precision	87.04	95.84	95.32	87.68	86.27	84.00	87.28	89.1 4.2
Recall	93.80	88.80	79.53	96.50	93.65	96.82	93.65	91.8 5.5
ANN
Accuracy	92.02	91.77	90.13	92.65	91.71	90.85	90.74	91.4 0.3
Precision	94.47	89.73	93.20	90.73	86.68	88.03	87.65	90.1 2.7
Recall	88.00	86.33	85.13	95.33	94.05	95.73	95.63	91.5 4.4