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EEGNet
window sizs - 2 sec
Folder: w2, File: S01S01_labeled_eeg_data_W2.csv
Label counts after balancing: {'turn_left': 4, 'turn_right': 4, 'stop': 4, 'reverse': 4, 'forward': 4}
Accuracy: 25.62%
Precision: 0.40
Recall: 0.26
F1-score: 0.31
precision recall f1-score support
forward 1.00 0.63 0.77 200
reverse 0.60 0.40 0.48 200
stop 0.00 0.00 0.00 200
turn_left 0.00 0.00 0.00 200
micro avg 0.45 0.26 0.33 800
macro avg 0.40 0.26 0.31 800
weighted avg 0.40 0.26 0.31 800
Folder: w2, File: S02S01_labeled_eeg_data_W2.csv
Label counts after balancing: {'reverse': 9, 'turn_left': 9, 'turn_right': 9, 'forward': 9, 'stop': 9}
Accuracy: 41.50%
Precision: 0.67
Recall: 0.41
F1-score: 0.38
precision recall f1-score support
forward 0.12 0.28 0.17 200
reverse 0.84 0.93 0.88 400
stop 0.52 0.48 0.50 400
turn_left 1.00 0.03 0.06 600
turn_right 0.22 0.56 0.31 200
accuracy 0.41 1800
macro avg 0.54 0.45 0.38 1800
weighted avg 0.67 0.41 0.38 1800
Folder: w2, File: S02S02_labeled_eeg_data_W2.csv
Label counts after balancing: {'forward': 26, 'turn_left': 26, 'turn_right': 26, 'stop': 26}
Accuracy: 28.69%
Precision: 0.34
Recall: 0.29
F1-score: 0.27
precision recall f1-score support
forward 0.29 0.42 0.34 800
stop 0.39 0.09 0.15 1800
turn_left 0.16 0.39 0.23 600
turn_right 0.41 0.47 0.44 1000
accuracy 0.29 4200
macro avg 0.31 0.34 0.29 4200
weighted avg 0.34 0.29 0.27 4200
Folder: w2, File: S03S01_labeled_eeg_data_W2.csv
Label counts after balancing: {'forward': 44, 'turn_right': 44, 'stop': 44, 'turn_left': 44, 'reverse': 44}
Accuracy: 32.34%
Precision: 0.32
Recall: 0.32
F1-score: 0.30
precision recall f1-score support
forward 0.35 0.23 0.28 2000
reverse 0.36 0.85 0.51 1400
stop 0.20 0.29 0.24 1200
turn_left 0.28 0.13 0.18 2200
turn_right 0.39 0.28 0.32 2000
accuracy 0.32 8800
macro avg 0.32 0.36 0.31 8800
weighted avg 0.32 0.32 0.30 8800
Folder: w2, File: S04S01_labeled_eeg_data_W2.csv
Label counts after balancing: {'turn_right': 21, 'stop': 21, 'forward': 21, 'turn_left': 21, 'reverse': 21}
Accuracy: 42.43%
Precision: 0.62
Recall: 0.42
F1-score: 0.43
precision recall f1-score support
forward 0.31 0.51 0.38 600
reverse 0.24 0.65 0.35 600
stop 0.84 0.24 0.37 1600
turn_left 0.78 0.42 0.54 800
turn_right 0.53 0.61 0.57 600
accuracy 0.42 4200
macro avg 0.54 0.49 0.44 4200
weighted avg 0.62 0.42 0.43 4200
window sizs - 3 sec
Folder: w3, File: S01S01_labeled_eeg_data_W3.csv
Label counts after balancing: {'turn_left': 3, 'forward': 3, 'turn_right': 3, 'reverse': 3, 'stop': 3}
Accuracy: 77.17%
Precision: 0.94
Recall: 0.77
F1-score: 0.85
precision recall f1-score support
reverse 0.96 0.76 0.84 400
stop 0.91 0.81 0.85 200
micro avg 0.94 0.77 0.85 600
macro avg 0.93 0.78 0.85 600
weighted avg 0.94 0.77 0.85 600
Folder: w3, File: S02S01_labeled_eeg_data_W3.csv
Label counts after balancing: {'turn_right': 5, 'reverse': 5, 'stop': 5, 'forward': 5, 'turn_left': 5}
Accuracy: 35.90%
Precision: 0.28
Recall: 0.36
F1-score: 0.31
precision recall f1-score support
forward 0.00 0.00 0.00 200
reverse 0.90 0.88 0.89 200
stop 0.00 0.00 0.00 200
turn_left 0.01 0.01 0.01 200
turn_right 0.51 0.91 0.65 200
accuracy 0.36 1000
macro avg 0.28 0.36 0.31 1000
weighted avg 0.28 0.36 0.31 1000
Folder: w3, File: S02S02_labeled_eeg_data_W3.csv
Label counts after balancing: {'stop': 15, 'turn_right': 15, 'turn_left': 15, 'forward': 15}
Accuracy: 45.25%
Precision: 0.67
Recall: 0.45
F1-score: 0.52
precision recall f1-score support
forward 0.43 0.58 0.50 400
stop 0.01 0.04 0.02 200
turn_left 0.73 0.62 0.67 400
turn_right 0.82 0.43 0.56 1400
accuracy 0.45 2400
macro avg 0.50 0.42 0.44 2400
weighted avg 0.67 0.45 0.52 2400
Folder: w3, File: S03S01_labeled_eeg_data_W3.csv
Label counts after balancing: {'turn_left': 28, 'turn_right': 28, 'forward': 28, 'reverse': 28, 'stop': 28}
Accuracy: 35.89%
Precision: 0.38
Recall: 0.36
F1-score: 0.31
precision recall f1-score support
forward 0.09 0.03 0.05 1000
reverse 0.49 0.56 0.52 1600
stop 0.46 0.52 0.49 800
turn_left 0.48 0.06 0.11 1400
turn_right 0.25 0.72 0.37 800
accuracy 0.36 5600
macro avg 0.35 0.38 0.31 5600
weighted avg 0.38 0.36 0.31 5600
Folder: w3, File: S04S01_labeled_eeg_data_W3.csv
Label counts after balancing: {'stop': 12, 'turn_right': 12, 'forward': 12, 'turn_left': 12, 'reverse': 12}
Accuracy: 38.79%
Precision: 0.56
Recall: 0.39
F1-score: 0.41
precision recall f1-score support
forward 0.61 0.22 0.32 800
reverse 0.15 0.73 0.26 200
stop 0.27 0.32 0.29 400
turn_left 0.65 0.72 0.69 400
turn_right 0.78 0.32 0.46 600
accuracy 0.39 2400
macro avg 0.49 0.46 0.40 2400
weighted avg 0.56 0.39 0.41 2400
window sizs - 4 sec
Folder: w4, File: S01S01_labeled_eeg_data_W4.csv
Label counts after balancing: {'stop': 1, 'reverse': 1, 'turn_left': 1, 'forward': 1, 'turn_right': 1}
Accuracy: 1.00%
Precision: 1.00
Recall: 0.01
F1-score: 0.02
precision recall f1-score support
turn_right 1.00 0.01 0.02 200
micro avg 1.00 0.01 0.02 200
macro avg 1.00 0.01 0.02 200
weighted avg 1.00 0.01 0.02 200
Folder: w4, File: S02S01_labeled_eeg_data_W4.csv
Label counts after balancing: {'stop': 4, 'turn_right': 4, 'reverse': 4, 'forward': 4, 'turn_left': 4}
Accuracy: 28.62%
Precision: 0.29
Recall: 0.29
F1-score: 0.23
precision recall f1-score support
forward 0.49 0.97 0.65 200
stop 0.02 0.03 0.02 200
turn_left 0.67 0.14 0.24 200
turn_right 0.00 0.00 0.00 200
accuracy 0.29 800
macro avg 0.29 0.29 0.23 800
weighted avg 0.29 0.29 0.23 800
Folder: w4, File: S02S02_labeled_eeg_data_W4.csv
Label counts after balancing: {'turn_left': 13, 'stop': 13, 'turn_right': 13, 'forward': 13}
Accuracy: 20.73%
Precision: 0.17
Recall: 0.21
F1-score: 0.18
precision recall f1-score support
forward 0.26 0.23 0.24 800
stop 0.00 0.00 0.00 200
turn_left 0.05 0.02 0.03 800
turn_right 0.33 0.63 0.43 400
accuracy 0.21 2200
macro avg 0.16 0.22 0.18 2200
weighted avg 0.17 0.21 0.18 2200
Folder: w4, File: S03S01_labeled_eeg_data_W4.csv
Label counts after balancing: {'reverse': 19, 'turn_right': 19, 'turn_left': 19, 'forward': 19, 'stop': 19}
Accuracy: 38.50%
Precision: 0.32
Recall: 0.39
F1-score: 0.32
precision recall f1-score support
forward 0.23 0.05 0.08 800
reverse 0.28 0.48 0.36 800
stop 0.50 0.66 0.57 1000
turn_left 0.17 0.03 0.06 800
turn_right 0.46 0.88 0.60 400
accuracy 0.39 3800
macro avg 0.33 0.42 0.33 3800
weighted avg 0.32 0.39 0.32 3800
Folder: w4, File: S04S01_labeled_eeg_data_W4.csv
Label counts after balancing: {'reverse': 8, 'stop': 8, 'turn_right': 8, 'turn_left': 8, 'forward': 8}
Accuracy: 22.06%
Precision: 0.28
Recall: 0.22
F1-score: 0.18
precision recall f1-score support
forward 0.00 0.00 0.00 600
reverse 0.24 0.95 0.39 200
turn_left 0.76 0.40 0.52 400
turn_right 0.25 0.01 0.02 400
micro avg 0.27 0.22 0.24 1600
macro avg 0.31 0.34 0.23 1600
weighted avg 0.28 0.22 0.18 1600
window sizs - 5 sec
Folder: w5, File: S01S01_labeled_eeg_data_W5.csv
Label counts after balancing: {'reverse': 2, 'turn_left': 2, 'turn_right': 2, 'stop': 2, 'forward': 2}
Accuracy: 1.00%
Precision: 0.25
Recall: 0.01
F1-score: 0.02
precision recall f1-score support
forward 0.00 0.00 0.00 200
turn_right 0.50 0.02 0.04 200
micro avg 0.02 0.01 0.01 400
macro avg 0.25 0.01 0.02 400
weighted avg 0.25 0.01 0.02 400
Folder: w5, File: S02S01_labeled_eeg_data_W5.csv
Label counts after balancing: {'turn_left': 3, 'forward': 3, 'stop': 3, 'reverse': 3, 'turn_right': 3}
Accuracy: 39.00%
Precision: 0.99
Recall: 0.39
F1-score: 0.56
precision recall f1-score support
forward 0.97 0.28 0.44 200
turn_right 1.00 0.44 0.61 400
micro avg 0.99 0.39 0.56 600
macro avg 0.98 0.36 0.53 600
weighted avg 0.99 0.39 0.56 600
Folder: w5, File: S02S02_labeled_eeg_data_W5.csv
Label counts after balancing: {'turn_left': 9, 'stop': 9, 'forward': 9, 'turn_right': 9}
Accuracy: 24.06%
Precision: 0.36
Recall: 0.24
F1-score: 0.29
precision recall f1-score support
forward 0.64 0.38 0.47 600
stop 0.43 0.34 0.38 400
turn_left 0.00 0.00 0.00 400
turn_right 0.08 0.12 0.10 200
accuracy 0.24 1600
macro avg 0.29 0.21 0.24 1600
weighted avg 0.36 0.24 0.29 1600
Folder: w5, File: S03S01_labeled_eeg_data_W5.csv
Label counts after balancing: {'stop': 13, 'turn_right': 13, 'turn_left': 13, 'forward': 13, 'reverse': 13}
Accuracy: 39.96%
Precision: 0.40
Recall: 0.40
F1-score: 0.32
precision recall f1-score support
forward 0.10 0.01 0.02 600
reverse 0.00 0.00 0.00 200
stop 0.43 0.98 0.60 600
turn_left 0.66 0.88 0.76 400
turn_right 0.56 0.11 0.19 800
accuracy 0.40 2600
macro avg 0.35 0.40 0.31 2600
weighted avg 0.40 0.40 0.32 2600
Folder: w5, File: S04S01_labeled_eeg_data_W5.csv
Label counts after balancing: {'forward': 6, 'stop': 6, 'turn_right': 6, 'reverse': 6, 'turn_left': 6}
Accuracy: 19.17%
Precision: 0.35
Recall: 0.19
F1-score: 0.13
precision recall f1-score support
forward 0.88 0.07 0.13 400
reverse 0.27 0.82 0.40 200
stop 0.00 0.00 0.00 400
turn_right 0.09 0.18 0.12 200
micro avg 0.20 0.19 0.19 1200
macro avg 0.31 0.27 0.17 1200
weighted avg 0.35 0.19 0.13 1200
window sizs - 6 sec
Folder: w6, File: S01S01_labeled_eeg_data_W6.csv
Label counts after balancing: {'reverse': 1, 'turn_right': 1, 'stop': 1, 'forward': 1, 'turn_left': 1}
Accuracy: 0.00%
Precision: 0.00
Recall: 0.00
F1-score: 0.00
precision recall f1-score support
turn_left 0.00 0.00 0.00 200.0
micro avg 0.00 0.00 0.00 200.0
macro avg 0.00 0.00 0.00 200.0
weighted avg 0.00 0.00 0.00 200.0
Folder: w6, File: S02S01_labeled_eeg_data_W6.csv
Label counts after balancing: {'reverse': 2, 'turn_right': 2, 'forward': 2, 'turn_left': 2, 'stop': 2}
Accuracy: 44.50%
Precision: 0.51
Recall: 0.45
F1-score: 0.36
precision recall f1-score support
forward 0.50 0.04 0.07 200
reverse 0.53 0.85 0.65 200
micro avg 0.53 0.45 0.48 400
macro avg 0.51 0.45 0.36 400
weighted avg 0.51 0.45 0.36 400
Folder: w6, File: S02S02_labeled_eeg_data_W6.csv
Label counts after balancing: {'turn_left': 4, 'stop': 4, 'forward': 4, 'turn_right': 4}
Accuracy: 29.62%
Precision: 0.33
Recall: 0.30
F1-score: 0.31
precision recall f1-score support
forward 0.00 0.00 0.00 200
stop 0.41 0.31 0.35 400
turn_right 0.51 0.57 0.54 200
micro avg 0.45 0.30 0.36 800
macro avg 0.31 0.29 0.30 800
weighted avg 0.33 0.30 0.31 800
Folder: w6, File: S03S01_labeled_eeg_data_W6.csv
Label counts after balancing: {'reverse': 11, 'turn_left': 11, 'turn_right': 11, 'stop': 11, 'forward': 11}
Accuracy: 21.41%
Precision: 0.20
Recall: 0.21
F1-score: 0.20
precision recall f1-score support
forward 0.00 0.00 0.00 600
reverse 0.30 0.39 0.34 600
stop 0.38 0.35 0.36 600
turn_left 0.01 0.06 0.02 200
turn_right 0.14 0.08 0.10 200
accuracy 0.21 2200
macro avg 0.17 0.17 0.16 2200
weighted avg 0.20 0.21 0.20 2200
Folder: w6, File: S04S01_labeled_eeg_data_W6.csv
Label counts after balancing: {'turn_right': 2, 'stop': 2, 'reverse': 2, 'forward': 2, 'turn_left': 2}
Accuracy: 0.00%
Precision: 0.00
Recall: 0.00
F1-score: 0.00
precision recall f1-score support
turn_left 0.00 0.00 0.00 400.0
micro avg 0.00 0.00 0.00 400.0
macro avg 0.00 0.00 0.00 400.0
weighted avg 0.00 0.00 0.00 400.0
Table 2
Subject
Window
Accuracy
Precision
Recall
F1-score
S01S01
W2
25.62%
0.4
0.26
0.31
S02S01
W2
41.5%
0.67
0.41
0.38
S02S02
W2
28.69%
0.34
0.29
0.27
S03S01
W2
32.34%
0.32
0.32
0.3
S04S01
W2
42.43%
0.62
0.42
0.43
S01S01
W3
77.17%
0.94
0.77
0.85
S02S01
W3
35.9%
0.28
0.36
0.31
S02S02
W3
45.25%
0.67
0.45
0.52
S03S01
W3
35.89%
0.38
0.36
0.31
S04S01
W3
38.79%
0.56
0.39
0.41
S01S01
W4
1%
1
0.01
0.02
S02S01
W4
28.62%
0.29
0.29
0.23
S02S02
W4
20.73%
0.17
0.21
0.18
S03S01
W4
38.5%
0.32
0.39
0.32
S04S01
W4
22.06%
0.28
0.22
0.18
S01S01
W5
1%
0.25
0.01
0.02
S02S01
W5
39%
0.99
0.39
0.56
S02S02
W5
24.06%
0.36
0.24
0.29
S03S01
W5
39.96%
0.4
0.4
0.32
S04S01
W5
19.17%
0.35
0.19
0.13
S01S01
W6
0%
0
0
0
S02S01
W6
44.5%
0.51
0.45
0.36
S02S02
W6
29.62%
0.33
0.3
0.31
S03S01
W6
21.41%
0.2
0.21
0.2
S04S01
W6
0%
0
0
0
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