Computational Intelligence and Neuroscience / 2015 / Article / Tab 3 / Research Article
Feature Selection Applying Statistical and Neurofuzzy Methods to EEG-Based BCI Table 3 Success rate (in %) as a function of the input vector dimension (
) applying the statistics method and order selection.
:
learning session,
rule prune session, and
test session.
Average User 1 1 68.25 59.83 68.58 59.78 66.91 67.86 65.20 2 86.24 79.06 87.72 73.48 79.03 75.17 80.12 3 85.96 78.40 85.26 67.66 79.41 69.15 77.64 4 84.84 79.15 87.08 66.80 81.94 65.17 77.50 5 77.05 78.40 79.74 62.44 71.51 64.71 72.31 6 74.52 77.13 79.40 54.30 73.62 66.40 70.90 7 78.17 72.18 80.13 76.63 76.90 74.00 76.34 8 77.66 76.87 80.77 63.88 77.10 78.44 75.79 9 80.10 77.53 81.25 72.65 76.84 77.69 77.68 User 2 1 44.82 62.56 57.60 46.00 59.09 49.91 53.33 2 62.56 71.44 72.90 67.34 78.91 67.63 70.13 3 68.69 75.43 72.00 68.52 75.98 63.82 70.74 4 61.18 65.08 78.25 65.41 64.53 63.25 66.28 5 67.40 67.33 71.34 55.88 69.97 64.11 66.01 6 62.96 67.45 72.44 65.67 73.76 63.77 67.68 7 61.38 68.37 65.90 58.44 64.61 58.52 62.87 8 62.13 61.34 69.59 53.74 67.88 63.62 63.05 9 62.76 64.58 67.91 56.94 63.28 60.54 62.67 10 62.44 68.14 67.08 56.02 74.57 51.58 63.31 User 3 1 38.60 28.27 00.00 42.73 38.61 34.55 30.46 2 42.12 54.23 45.55 45.12 50.85 47.37 47.54 3 42.41 38.00 51.83 45.94 49.15 41.85 44.86 4 40.12 52.75 49.10 47.90 50.38 48.39 48.11 5 41.45 54.91 50.29 49.45 50.47 48.60 49.20 6 43.43 50.55 48.31 49.04 55.75 56.92 50.67 7 42.06 50.32 47.30 47.37 54.47 49.53 48.51 8 40.64 48.31 44.39 45.74 50.15 49.36 46.43 9 42.35 53.27 44.88 44.16 49.85 47.78 47.05 10 40.55 58.97 43.08 44.92 53.65 50.00 48.53 11 46.05 51.29 44.27 41.91 52.95 51.66 48.02 12 47.91 54.96 44.59 50.03 48.10 54.47 50.01 13 46.69 50.73 46.48 45.71 50.64 52.25 48.75 14 44.27 55.34 50.73 48.16 44.71 52.69 49.32 15 42.59 47.75 44.30 50.82 49.47 51.52 47.74