Training on subject 1
Subject: 1 seed 1 time: 1.5 m valid_acc: 0.8448 valid_loss: 0.609
Training on subject 2
Subject: 2 seed 1 time: 1.5 m valid_acc: 0.7759 valid_loss: 0.703
Training on subject 3
Subject: 3 seed 1 time: 1.5 m valid_acc: 0.8966 valid_loss: 0.476
Training on subject 4
Subject: 4 seed 1 time: 1.5 m valid_acc: 0.8103 valid_loss: 0.699
Training on subject 5
Subject: 5 seed 1 time: 1.5 m valid_acc: 0.8793 valid_loss: 0.619
Training on subject 6
Subject: 6 seed 1 time: 1.5 m valid_acc: 0.7759 valid_loss: 0.735
Training on subject 7
Subject: 7 seed 1 time: 1.5 m valid_acc: 0.9655 valid_loss: 0.265
Training on subject 8
Subject: 8 seed 1 time: 1.5 m valid_acc: 0.9483 valid_loss: 0.374
Training on subject 9
Subject: 9 seed 1 time: 1.5 m valid_acc: 0.9483 valid_loss: 0.352
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Validation performance (acc %):
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sub_1 sub_2 sub_3 sub_4 sub_5 sub_6 sub_7 sub_8 sub_9 average
----- ----- ----- ----- ----- ----- ----- ----- ----- -------
Seed 1: 84.48 77.59 89.66 81.03 87.93 77.59 96.55 94.83 94.83 87.16
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Average acc - all seeds: 87.16 %
Train Time - all seeds: 13.5 min
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Test performance (acc & k-score):
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sub_1 sub_2 sub_3 sub_4 sub_5 sub_6 sub_7 sub_8 sub_9 average
----- ----- ----- ----- ----- ----- ----- ----- ----- -------
Seed 1: (acc %) 86.11 64.93 92.01 80.56 71.53 68.75 95.14 82.99 87.85 81.10
(k-sco) 0.815 0.532 0.894 0.741 0.620 0.583 0.935 0.773 0.838 0.748
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Average - all seeds (acc %): 81.10
(k-sco): 0.748
Inference time: 0.23 ms per trial
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Datasets
Models
