Table 1 Class distribution per participant after artifact rejection.
From: Objective assessment of familiarity in music using imagery and EEG-based machine learning
Subject | Number of familiar song trials | Number of unfamiliar song trials | Proportion of familiar trials (%) |
|---|---|---|---|
S01 | 77 | 75 | 50.7 |
S02 | 102 | 83 | 55.1 |
S03 | 116 | 85 | 57.7 |
S04 | 160 | 158 | 50.3 |
S05 | 94 | 95 | 49.7 |
S06 | 94 | 96 | 49.5 |
S07 | 80 | 71 | 53.0 |
S08 | 120 | 93 | 56.3 |
S09 | 122 | 105 | 53.7 |
S10 | 80 | 100 | 44.4 |
S11 | 112 | 115 | 49.3 |
S12 | 108 | 82 | 56.8 |
S13 | 138 | 110 | 55.6 |
S14 | 130 | 72 | 64.4 |
S15 | 92 | 82 | 52.9 |
S16 | 109 | 107 | 50.5 |
S17 | 88 | 97 | 47.6 |
S18 | 79 | 88 | 47.3 |
S19 | 128 | 54 | 70.3 |
S20 | 150 | 114 | 56.8 |
