lr: 0.001
sub_1:Test (Best Model) - Loss: 20.7684 - Accuracy: 0.4118 - F1: 0.4120
sub_1:Test (Best Model) - Loss: 10.0830 - Accuracy: 0.6471 - F1: 0.6603
sub_1:Test (Best Model) - Loss: 27.8266 - Accuracy: 0.5147 - F1: 0.5365
sub_1:Test (Best Model) - Loss: 33.6651 - Accuracy: 0.4559 - F1: 0.4389
sub_1:Test (Best Model) - Loss: 16.1877 - Accuracy: 0.5441 - F1: 0.5441
sub_1:Test (Best Model) - Loss: 18.3950 - Accuracy: 0.4203 - F1: 0.4195
sub_1:Test (Best Model) - Loss: 25.1141 - Accuracy: 0.3478 - F1: 0.3031
sub_1:Test (Best Model) - Loss: 21.0966 - Accuracy: 0.4928 - F1: 0.4536
sub_1:Test (Best Model) - Loss: 21.0764 - Accuracy: 0.4348 - F1: 0.4391
sub_1:Test (Best Model) - Loss: 15.9978 - Accuracy: 0.4493 - F1: 0.4500
sub_1:Test (Best Model) - Loss: 18.2556 - Accuracy: 0.5000 - F1: 0.4074
sub_1:Test (Best Model) - Loss: 34.2697 - Accuracy: 0.5735 - F1: 0.5335
sub_1:Test (Best Model) - Loss: 7.4882 - Accuracy: 0.6324 - F1: 0.6511
sub_1:Test (Best Model) - Loss: 19.2104 - Accuracy: 0.4706 - F1: 0.5040
sub_1:Test (Best Model) - Loss: 15.7161 - Accuracy: 0.6471 - F1: 0.5815
sub_2:Test (Best Model) - Loss: 33.1538 - Accuracy: 0.3188 - F1: 0.2993
sub_2:Test (Best Model) - Loss: 37.2377 - Accuracy: 0.2899 - F1: 0.2818
sub_2:Test (Best Model) - Loss: 55.0274 - Accuracy: 0.3188 - F1: 0.3167
sub_2:Test (Best Model) - Loss: 25.9329 - Accuracy: 0.3333 - F1: 0.3535
sub_2:Test (Best Model) - Loss: 32.2942 - Accuracy: 0.3768 - F1: 0.3434
sub_2:Test (Best Model) - Loss: 19.3958 - Accuracy: 0.3676 - F1: 0.3556
sub_2:Test (Best Model) - Loss: 22.8424 - Accuracy: 0.2353 - F1: 0.2539
sub_2:Test (Best Model) - Loss: 13.4376 - Accuracy: 0.6176 - F1: 0.5801
sub_2:Test (Best Model) - Loss: 19.8437 - Accuracy: 0.4853 - F1: 0.4853
sub_2:Test (Best Model) - Loss: 15.7305 - Accuracy: 0.3676 - F1: 0.3865
sub_2:Test (Best Model) - Loss: 15.1774 - Accuracy: 0.3623 - F1: 0.3363
sub_2:Test (Best Model) - Loss: 12.5078 - Accuracy: 0.4783 - F1: 0.4562
sub_2:Test (Best Model) - Loss: 29.6951 - Accuracy: 0.3623 - F1: 0.3105
sub_2:Test (Best Model) - Loss: 24.7030 - Accuracy: 0.4203 - F1: 0.3933
sub_2:Test (Best Model) - Loss: 20.5100 - Accuracy: 0.3913 - F1: 0.3891
sub_3:Test (Best Model) - Loss: 26.3710 - Accuracy: 0.3382 - F1: 0.3443
sub_3:Test (Best Model) - Loss: 19.2132 - Accuracy: 0.3676 - F1: 0.3538
sub_3:Test (Best Model) - Loss: 22.4252 - Accuracy: 0.3824 - F1: 0.3744
sub_3:Test (Best Model) - Loss: 30.2972 - Accuracy: 0.2353 - F1: 0.2132
sub_3:Test (Best Model) - Loss: 19.2438 - Accuracy: 0.4412 - F1: 0.4147
sub_3:Test (Best Model) - Loss: 20.9119 - Accuracy: 0.3623 - F1: 0.3415
sub_3:Test (Best Model) - Loss: 24.5701 - Accuracy: 0.2754 - F1: 0.2651
sub_3:Test (Best Model) - Loss: 36.6232 - Accuracy: 0.2899 - F1: 0.2584
sub_3:Test (Best Model) - Loss: 34.3481 - Accuracy: 0.3768 - F1: 0.2807
sub_3:Test (Best Model) - Loss: 18.0305 - Accuracy: 0.4058 - F1: 0.4071
sub_3:Test (Best Model) - Loss: 35.1307 - Accuracy: 0.2464 - F1: 0.2621
sub_3:Test (Best Model) - Loss: 39.3384 - Accuracy: 0.3188 - F1: 0.3233
sub_3:Test (Best Model) - Loss: 24.5712 - Accuracy: 0.3623 - F1: 0.2972
sub_3:Test (Best Model) - Loss: 22.2091 - Accuracy: 0.4493 - F1: 0.4194
sub_3:Test (Best Model) - Loss: 41.4831 - Accuracy: 0.2754 - F1: 0.2599
sub_4:Test (Best Model) - Loss: 13.5319 - Accuracy: 0.5797 - F1: 0.5840
sub_4:Test (Best Model) - Loss: 19.5204 - Accuracy: 0.6087 - F1: 0.6025
sub_4:Test (Best Model) - Loss: 21.1069 - Accuracy: 0.5652 - F1: 0.5840
sub_4:Test (Best Model) - Loss: 29.4030 - Accuracy: 0.4493 - F1: 0.4406
sub_4:Test (Best Model) - Loss: 15.6198 - Accuracy: 0.4783 - F1: 0.4899
sub_4:Test (Best Model) - Loss: 26.2468 - Accuracy: 0.4493 - F1: 0.4888
sub_4:Test (Best Model) - Loss: 20.7364 - Accuracy: 0.5362 - F1: 0.5048
sub_4:Test (Best Model) - Loss: 17.5202 - Accuracy: 0.5652 - F1: 0.5396
sub_4:Test (Best Model) - Loss: 12.9810 - Accuracy: 0.6377 - F1: 0.6402
sub_4:Test (Best Model) - Loss: 15.8151 - Accuracy: 0.5507 - F1: 0.5566
sub_4:Test (Best Model) - Loss: 21.1182 - Accuracy: 0.4203 - F1: 0.3765
sub_4:Test (Best Model) - Loss: 31.8303 - Accuracy: 0.4348 - F1: 0.3880
sub_4:Test (Best Model) - Loss: 29.2147 - Accuracy: 0.4348 - F1: 0.3976
sub_4:Test (Best Model) - Loss: 28.7324 - Accuracy: 0.4493 - F1: 0.4007
sub_4:Test (Best Model) - Loss: 47.5388 - Accuracy: 0.3913 - F1: 0.4029
sub_5:Test (Best Model) - Loss: 50.1191 - Accuracy: 0.5441 - F1: 0.5128
sub_5:Test (Best Model) - Loss: 95.6794 - Accuracy: 0.4265 - F1: 0.3944
sub_5:Test (Best Model) - Loss: 36.8786 - Accuracy: 0.4853 - F1: 0.4883
sub_5:Test (Best Model) - Loss: 42.9515 - Accuracy: 0.5588 - F1: 0.5484
sub_5:Test (Best Model) - Loss: 63.0682 - Accuracy: 0.4118 - F1: 0.3830
sub_5:Test (Best Model) - Loss: 30.5720 - Accuracy: 0.4559 - F1: 0.3618
sub_5:Test (Best Model) - Loss: 17.8554 - Accuracy: 0.5000 - F1: 0.4543
sub_5:Test (Best Model) - Loss: 26.9613 - Accuracy: 0.6029 - F1: 0.5668
sub_5:Test (Best Model) - Loss: 20.2628 - Accuracy: 0.5000 - F1: 0.4636
sub_5:Test (Best Model) - Loss: 27.3390 - Accuracy: 0.6029 - F1: 0.5842
sub_5:Test (Best Model) - Loss: 14.0557 - Accuracy: 0.6176 - F1: 0.6197
sub_5:Test (Best Model) - Loss: 27.1687 - Accuracy: 0.3676 - F1: 0.3328
sub_5:Test (Best Model) - Loss: 15.8580 - Accuracy: 0.3529 - F1: 0.3882
sub_5:Test (Best Model) - Loss: 18.5269 - Accuracy: 0.5588 - F1: 0.5639
sub_5:Test (Best Model) - Loss: 10.1078 - Accuracy: 0.5735 - F1: 0.5681
sub_6:Test (Best Model) - Loss: 19.9603 - Accuracy: 0.4412 - F1: 0.4137
sub_6:Test (Best Model) - Loss: 25.8360 - Accuracy: 0.3529 - F1: 0.3532
sub_6:Test (Best Model) - Loss: 31.2042 - Accuracy: 0.3382 - F1: 0.2963
sub_6:Test (Best Model) - Loss: 29.5319 - Accuracy: 0.3971 - F1: 0.3634
sub_6:Test (Best Model) - Loss: 10.4808 - Accuracy: 0.6324 - F1: 0.6237
sub_6:Test (Best Model) - Loss: 28.0689 - Accuracy: 0.4493 - F1: 0.3946
sub_6:Test (Best Model) - Loss: 20.2621 - Accuracy: 0.5217 - F1: 0.4895
sub_6:Test (Best Model) - Loss: 20.4217 - Accuracy: 0.4203 - F1: 0.3676
sub_6:Test (Best Model) - Loss: 39.1673 - Accuracy: 0.3913 - F1: 0.3422
sub_6:Test (Best Model) - Loss: 21.9183 - Accuracy: 0.4203 - F1: 0.3949
sub_6:Test (Best Model) - Loss: 19.6011 - Accuracy: 0.3623 - F1: 0.3890
sub_6:Test (Best Model) - Loss: 23.5866 - Accuracy: 0.3333 - F1: 0.2830
sub_6:Test (Best Model) - Loss: 14.2347 - Accuracy: 0.5217 - F1: 0.5226
sub_6:Test (Best Model) - Loss: 14.3130 - Accuracy: 0.5217 - F1: 0.5114
sub_6:Test (Best Model) - Loss: 19.3258 - Accuracy: 0.5362 - F1: 0.5291
sub_7:Test (Best Model) - Loss: 14.8000 - Accuracy: 0.6324 - F1: 0.6198
sub_7:Test (Best Model) - Loss: 11.9196 - Accuracy: 0.6765 - F1: 0.6598
sub_7:Test (Best Model) - Loss: 11.9745 - Accuracy: 0.6618 - F1: 0.6526
sub_7:Test (Best Model) - Loss: 15.5529 - Accuracy: 0.6029 - F1: 0.5740
sub_7:Test (Best Model) - Loss: 16.5425 - Accuracy: 0.6324 - F1: 0.6348
sub_7:Test (Best Model) - Loss: 65.8183 - Accuracy: 0.2941 - F1: 0.2789
sub_7:Test (Best Model) - Loss: 51.8106 - Accuracy: 0.4265 - F1: 0.3542
sub_7:Test (Best Model) - Loss: 38.3261 - Accuracy: 0.3824 - F1: 0.3585
sub_7:Test (Best Model) - Loss: 41.3401 - Accuracy: 0.5000 - F1: 0.4550
sub_7:Test (Best Model) - Loss: 31.2291 - Accuracy: 0.5735 - F1: 0.5625
sub_7:Test (Best Model) - Loss: 14.8002 - Accuracy: 0.5441 - F1: 0.5486
sub_7:Test (Best Model) - Loss: 18.0013 - Accuracy: 0.5441 - F1: 0.5407
sub_7:Test (Best Model) - Loss: 31.1615 - Accuracy: 0.4265 - F1: 0.4210
sub_7:Test (Best Model) - Loss: 38.3163 - Accuracy: 0.4265 - F1: 0.3706
sub_7:Test (Best Model) - Loss: 15.6767 - Accuracy: 0.5441 - F1: 0.5602
sub_8:Test (Best Model) - Loss: 24.4340 - Accuracy: 0.3235 - F1: 0.3262
sub_8:Test (Best Model) - Loss: 39.4617 - Accuracy: 0.3382 - F1: 0.3403
sub_8:Test (Best Model) - Loss: 25.8636 - Accuracy: 0.3676 - F1: 0.3528
sub_8:Test (Best Model) - Loss: 24.6967 - Accuracy: 0.2794 - F1: 0.3147
sub_8:Test (Best Model) - Loss: 32.7894 - Accuracy: 0.3824 - F1: 0.3608
sub_8:Test (Best Model) - Loss: 27.0021 - Accuracy: 0.4706 - F1: 0.4373
sub_8:Test (Best Model) - Loss: 24.2762 - Accuracy: 0.4412 - F1: 0.4018
sub_8:Test (Best Model) - Loss: 13.5345 - Accuracy: 0.5294 - F1: 0.5367
sub_8:Test (Best Model) - Loss: 18.6371 - Accuracy: 0.3088 - F1: 0.3171
sub_8:Test (Best Model) - Loss: 20.5345 - Accuracy: 0.3382 - F1: 0.3459
sub_8:Test (Best Model) - Loss: 37.7177 - Accuracy: 0.3824 - F1: 0.3962
sub_8:Test (Best Model) - Loss: 25.4287 - Accuracy: 0.3824 - F1: 0.4105
sub_8:Test (Best Model) - Loss: 41.3521 - Accuracy: 0.4412 - F1: 0.4582
sub_8:Test (Best Model) - Loss: 40.9777 - Accuracy: 0.4706 - F1: 0.4539
sub_8:Test (Best Model) - Loss: 30.4893 - Accuracy: 0.3971 - F1: 0.4256
sub_9:Test (Best Model) - Loss: 21.4592 - Accuracy: 0.5588 - F1: 0.5538
sub_9:Test (Best Model) - Loss: 17.2485 - Accuracy: 0.5588 - F1: 0.5790
sub_9:Test (Best Model) - Loss: 23.7404 - Accuracy: 0.6176 - F1: 0.5950
sub_9:Test (Best Model) - Loss: 16.5808 - Accuracy: 0.5882 - F1: 0.6055
sub_9:Test (Best Model) - Loss: 14.0756 - Accuracy: 0.6176 - F1: 0.6163
sub_9:Test (Best Model) - Loss: 43.4712 - Accuracy: 0.3676 - F1: 0.3569
sub_9:Test (Best Model) - Loss: 33.1789 - Accuracy: 0.3971 - F1: 0.4129
sub_9:Test (Best Model) - Loss: 22.2150 - Accuracy: 0.4265 - F1: 0.3931
sub_9:Test (Best Model) - Loss: 34.5462 - Accuracy: 0.4412 - F1: 0.4323
sub_9:Test (Best Model) - Loss: 27.3507 - Accuracy: 0.4265 - F1: 0.4227
sub_9:Test (Best Model) - Loss: 21.0529 - Accuracy: 0.4118 - F1: 0.4259
sub_9:Test (Best Model) - Loss: 37.9289 - Accuracy: 0.4412 - F1: 0.4620
sub_9:Test (Best Model) - Loss: 43.9943 - Accuracy: 0.3088 - F1: 0.3255
sub_9:Test (Best Model) - Loss: 37.1103 - Accuracy: 0.4265 - F1: 0.4566
sub_9:Test (Best Model) - Loss: 21.5814 - Accuracy: 0.4853 - F1: 0.4919
sub_10:Test (Best Model) - Loss: 15.4575 - Accuracy: 0.4118 - F1: 0.3971
sub_10:Test (Best Model) - Loss: 16.6416 - Accuracy: 0.3382 - F1: 0.3422
sub_10:Test (Best Model) - Loss: 13.5137 - Accuracy: 0.4412 - F1: 0.4693
sub_10:Test (Best Model) - Loss: 22.7837 - Accuracy: 0.4265 - F1: 0.4244
sub_10:Test (Best Model) - Loss: 20.6027 - Accuracy: 0.4706 - F1: 0.4855
sub_10:Test (Best Model) - Loss: 20.2687 - Accuracy: 0.4118 - F1: 0.4248
sub_10:Test (Best Model) - Loss: 23.9694 - Accuracy: 0.3971 - F1: 0.4078
sub_10:Test (Best Model) - Loss: 35.6357 - Accuracy: 0.3382 - F1: 0.2940
sub_10:Test (Best Model) - Loss: 19.0650 - Accuracy: 0.3971 - F1: 0.4106
sub_10:Test (Best Model) - Loss: 15.5266 - Accuracy: 0.3676 - F1: 0.3400
sub_10:Test (Best Model) - Loss: 24.6154 - Accuracy: 0.3623 - F1: 0.3485
sub_10:Test (Best Model) - Loss: 26.0706 - Accuracy: 0.3913 - F1: 0.4009
sub_10:Test (Best Model) - Loss: 16.8529 - Accuracy: 0.4638 - F1: 0.4525
sub_10:Test (Best Model) - Loss: 24.0901 - Accuracy: 0.4058 - F1: 0.4018
sub_10:Test (Best Model) - Loss: 23.2870 - Accuracy: 0.3913 - F1: 0.3782
sub_11:Test (Best Model) - Loss: 37.3521 - Accuracy: 0.4783 - F1: 0.4016
sub_11:Test (Best Model) - Loss: 25.4531 - Accuracy: 0.4928 - F1: 0.4758
sub_11:Test (Best Model) - Loss: 38.1195 - Accuracy: 0.4348 - F1: 0.4039
sub_11:Test (Best Model) - Loss: 33.8112 - Accuracy: 0.3768 - F1: 0.3691
sub_11:Test (Best Model) - Loss: 31.8234 - Accuracy: 0.3623 - F1: 0.3511
sub_11:Test (Best Model) - Loss: 30.3378 - Accuracy: 0.4638 - F1: 0.4147
sub_11:Test (Best Model) - Loss: 22.9530 - Accuracy: 0.4638 - F1: 0.4085
sub_11:Test (Best Model) - Loss: 23.4516 - Accuracy: 0.5217 - F1: 0.5015
sub_11:Test (Best Model) - Loss: 20.2454 - Accuracy: 0.4493 - F1: 0.4456
sub_11:Test (Best Model) - Loss: 25.1584 - Accuracy: 0.5362 - F1: 0.5196
sub_11:Test (Best Model) - Loss: 17.2478 - Accuracy: 0.4348 - F1: 0.3548
sub_11:Test (Best Model) - Loss: 16.3459 - Accuracy: 0.5217 - F1: 0.4877
sub_11:Test (Best Model) - Loss: 16.6123 - Accuracy: 0.4638 - F1: 0.4032
sub_11:Test (Best Model) - Loss: 18.2788 - Accuracy: 0.5217 - F1: 0.4812
sub_11:Test (Best Model) - Loss: 35.3147 - Accuracy: 0.4203 - F1: 0.3957
sub_12:Test (Best Model) - Loss: 16.8596 - Accuracy: 0.5882 - F1: 0.5760
sub_12:Test (Best Model) - Loss: 15.1849 - Accuracy: 0.5882 - F1: 0.5886
sub_12:Test (Best Model) - Loss: 15.0338 - Accuracy: 0.5588 - F1: 0.5521
sub_12:Test (Best Model) - Loss: 16.8833 - Accuracy: 0.6471 - F1: 0.6335
sub_12:Test (Best Model) - Loss: 15.0429 - Accuracy: 0.5294 - F1: 0.5144
sub_12:Test (Best Model) - Loss: 19.8760 - Accuracy: 0.5507 - F1: 0.5417
sub_12:Test (Best Model) - Loss: 12.0179 - Accuracy: 0.6522 - F1: 0.6462
sub_12:Test (Best Model) - Loss: 22.6731 - Accuracy: 0.5362 - F1: 0.5376
sub_12:Test (Best Model) - Loss: 26.8157 - Accuracy: 0.5362 - F1: 0.5216
sub_12:Test (Best Model) - Loss: 26.3256 - Accuracy: 0.4928 - F1: 0.5099
sub_12:Test (Best Model) - Loss: 26.0632 - Accuracy: 0.3971 - F1: 0.3983
sub_12:Test (Best Model) - Loss: 23.9073 - Accuracy: 0.4559 - F1: 0.4803
sub_12:Test (Best Model) - Loss: 35.6454 - Accuracy: 0.3529 - F1: 0.3531
sub_12:Test (Best Model) - Loss: 36.4698 - Accuracy: 0.4559 - F1: 0.3835
sub_12:Test (Best Model) - Loss: 21.0451 - Accuracy: 0.5441 - F1: 0.5512
sub_13:Test (Best Model) - Loss: 16.5848 - Accuracy: 0.4853 - F1: 0.4912
sub_13:Test (Best Model) - Loss: 27.6760 - Accuracy: 0.3824 - F1: 0.3994
sub_13:Test (Best Model) - Loss: 24.8809 - Accuracy: 0.4265 - F1: 0.4262
sub_13:Test (Best Model) - Loss: 26.6696 - Accuracy: 0.4559 - F1: 0.4282
sub_13:Test (Best Model) - Loss: 17.0386 - Accuracy: 0.5441 - F1: 0.5443
sub_13:Test (Best Model) - Loss: 45.1883 - Accuracy: 0.4493 - F1: 0.3797
sub_13:Test (Best Model) - Loss: 32.5512 - Accuracy: 0.4058 - F1: 0.3544
sub_13:Test (Best Model) - Loss: 35.9441 - Accuracy: 0.4203 - F1: 0.4106
sub_13:Test (Best Model) - Loss: 28.4744 - Accuracy: 0.4203 - F1: 0.3930
sub_13:Test (Best Model) - Loss: 34.9040 - Accuracy: 0.3623 - F1: 0.3524
sub_13:Test (Best Model) - Loss: 26.8521 - Accuracy: 0.4118 - F1: 0.3819
sub_13:Test (Best Model) - Loss: 20.8983 - Accuracy: 0.4265 - F1: 0.3958
sub_13:Test (Best Model) - Loss: 23.9895 - Accuracy: 0.3824 - F1: 0.3994
sub_13:Test (Best Model) - Loss: 32.8823 - Accuracy: 0.2794 - F1: 0.2802
sub_13:Test (Best Model) - Loss: 16.0245 - Accuracy: 0.4118 - F1: 0.4012
sub_14:Test (Best Model) - Loss: 36.6766 - Accuracy: 0.3529 - F1: 0.3133
sub_14:Test (Best Model) - Loss: 37.9975 - Accuracy: 0.4265 - F1: 0.3864
sub_14:Test (Best Model) - Loss: 18.3490 - Accuracy: 0.4706 - F1: 0.4329
sub_14:Test (Best Model) - Loss: 27.5732 - Accuracy: 0.4412 - F1: 0.4323
sub_14:Test (Best Model) - Loss: 48.4259 - Accuracy: 0.2941 - F1: 0.2493
sub_14:Test (Best Model) - Loss: 24.5180 - Accuracy: 0.4412 - F1: 0.4517
sub_14:Test (Best Model) - Loss: 30.2237 - Accuracy: 0.4559 - F1: 0.4027
sub_14:Test (Best Model) - Loss: 25.3469 - Accuracy: 0.4559 - F1: 0.4713
sub_14:Test (Best Model) - Loss: 26.4012 - Accuracy: 0.3824 - F1: 0.3736
sub_14:Test (Best Model) - Loss: 27.8797 - Accuracy: 0.5441 - F1: 0.5117
sub_14:Test (Best Model) - Loss: 32.8974 - Accuracy: 0.5294 - F1: 0.4613
sub_14:Test (Best Model) - Loss: 30.6309 - Accuracy: 0.4118 - F1: 0.3881
sub_14:Test (Best Model) - Loss: 22.3472 - Accuracy: 0.4412 - F1: 0.4315
sub_14:Test (Best Model) - Loss: 20.7001 - Accuracy: 0.4265 - F1: 0.3396
sub_14:Test (Best Model) - Loss: 27.5019 - Accuracy: 0.4265 - F1: 0.4311
sub_15:Test (Best Model) - Loss: 23.2300 - Accuracy: 0.4412 - F1: 0.4472
sub_15:Test (Best Model) - Loss: 30.3137 - Accuracy: 0.3676 - F1: 0.3694
sub_15:Test (Best Model) - Loss: 32.5014 - Accuracy: 0.5147 - F1: 0.4616
sub_15:Test (Best Model) - Loss: 32.3568 - Accuracy: 0.4706 - F1: 0.4619
sub_15:Test (Best Model) - Loss: 30.3989 - Accuracy: 0.3971 - F1: 0.3945
sub_15:Test (Best Model) - Loss: 30.3842 - Accuracy: 0.5147 - F1: 0.5074
sub_15:Test (Best Model) - Loss: 15.8935 - Accuracy: 0.5294 - F1: 0.5119
sub_15:Test (Best Model) - Loss: 22.9142 - Accuracy: 0.5294 - F1: 0.5340
sub_15:Test (Best Model) - Loss: 27.1374 - Accuracy: 0.5882 - F1: 0.5516
sub_15:Test (Best Model) - Loss: 13.5914 - Accuracy: 0.6324 - F1: 0.6207
sub_15:Test (Best Model) - Loss: 20.7504 - Accuracy: 0.4118 - F1: 0.3541
sub_15:Test (Best Model) - Loss: 15.1148 - Accuracy: 0.4412 - F1: 0.4519
sub_15:Test (Best Model) - Loss: 34.2733 - Accuracy: 0.3676 - F1: 0.3138
sub_15:Test (Best Model) - Loss: 22.0161 - Accuracy: 0.5147 - F1: 0.4790
sub_15:Test (Best Model) - Loss: 32.4359 - Accuracy: 0.3676 - F1: 0.3715
sub_16:Test (Best Model) - Loss: 12.4495 - Accuracy: 0.5441 - F1: 0.5449
sub_16:Test (Best Model) - Loss: 25.3514 - Accuracy: 0.3676 - F1: 0.3291
sub_16:Test (Best Model) - Loss: 27.1972 - Accuracy: 0.4265 - F1: 0.3244
sub_16:Test (Best Model) - Loss: 21.4719 - Accuracy: 0.4853 - F1: 0.4099
sub_16:Test (Best Model) - Loss: 17.8058 - Accuracy: 0.5147 - F1: 0.4668
sub_16:Test (Best Model) - Loss: 19.1715 - Accuracy: 0.5588 - F1: 0.5324
sub_16:Test (Best Model) - Loss: 38.7562 - Accuracy: 0.5000 - F1: 0.4219
sub_16:Test (Best Model) - Loss: 25.6117 - Accuracy: 0.6029 - F1: 0.5079
sub_16:Test (Best Model) - Loss: 24.5799 - Accuracy: 0.5294 - F1: 0.4359
sub_16:Test (Best Model) - Loss: 26.8289 - Accuracy: 0.5735 - F1: 0.5489
sub_16:Test (Best Model) - Loss: 14.8428 - Accuracy: 0.5588 - F1: 0.5573
sub_16:Test (Best Model) - Loss: 20.7804 - Accuracy: 0.6029 - F1: 0.5698
sub_16:Test (Best Model) - Loss: 21.8497 - Accuracy: 0.5735 - F1: 0.5073
sub_16:Test (Best Model) - Loss: 15.7346 - Accuracy: 0.5294 - F1: 0.5268
sub_16:Test (Best Model) - Loss: 11.9939 - Accuracy: 0.5882 - F1: 0.5713
sub_17:Test (Best Model) - Loss: 26.6616 - Accuracy: 0.3623 - F1: 0.3185
sub_17:Test (Best Model) - Loss: 16.0540 - Accuracy: 0.4493 - F1: 0.4328
sub_17:Test (Best Model) - Loss: 19.8858 - Accuracy: 0.4493 - F1: 0.4253
sub_17:Test (Best Model) - Loss: 31.9461 - Accuracy: 0.4203 - F1: 0.4244
sub_17:Test (Best Model) - Loss: 20.4525 - Accuracy: 0.3623 - F1: 0.3706
sub_17:Test (Best Model) - Loss: 63.4647 - Accuracy: 0.4493 - F1: 0.4198
sub_17:Test (Best Model) - Loss: 66.0646 - Accuracy: 0.3043 - F1: 0.2686
sub_17:Test (Best Model) - Loss: 32.7006 - Accuracy: 0.3913 - F1: 0.3765
sub_17:Test (Best Model) - Loss: 41.5093 - Accuracy: 0.3768 - F1: 0.3064
sub_17:Test (Best Model) - Loss: 29.8776 - Accuracy: 0.4493 - F1: 0.4133
sub_17:Test (Best Model) - Loss: 23.9748 - Accuracy: 0.3971 - F1: 0.3818
sub_17:Test (Best Model) - Loss: 21.0773 - Accuracy: 0.5147 - F1: 0.5043
sub_17:Test (Best Model) - Loss: 21.8940 - Accuracy: 0.3529 - F1: 0.3611
sub_17:Test (Best Model) - Loss: 18.3234 - Accuracy: 0.5441 - F1: 0.5414
sub_17:Test (Best Model) - Loss: 21.2664 - Accuracy: 0.4706 - F1: 0.4843
sub_18:Test (Best Model) - Loss: 12.2478 - Accuracy: 0.4203 - F1: 0.4404
sub_18:Test (Best Model) - Loss: 20.1021 - Accuracy: 0.4638 - F1: 0.4445
sub_18:Test (Best Model) - Loss: 19.4345 - Accuracy: 0.4058 - F1: 0.3806
sub_18:Test (Best Model) - Loss: 16.2186 - Accuracy: 0.3623 - F1: 0.3955
sub_18:Test (Best Model) - Loss: 24.7695 - Accuracy: 0.4348 - F1: 0.3814
sub_18:Test (Best Model) - Loss: 32.2605 - Accuracy: 0.4265 - F1: 0.3758
sub_18:Test (Best Model) - Loss: 22.4663 - Accuracy: 0.4412 - F1: 0.4543
sub_18:Test (Best Model) - Loss: 24.8731 - Accuracy: 0.3235 - F1: 0.3287
sub_18:Test (Best Model) - Loss: 18.4656 - Accuracy: 0.4559 - F1: 0.4422
sub_18:Test (Best Model) - Loss: 30.4219 - Accuracy: 0.2794 - F1: 0.3126
sub_18:Test (Best Model) - Loss: 21.5148 - Accuracy: 0.3529 - F1: 0.3606
sub_18:Test (Best Model) - Loss: 30.0951 - Accuracy: 0.3382 - F1: 0.3349
sub_18:Test (Best Model) - Loss: 25.0068 - Accuracy: 0.2794 - F1: 0.3192
sub_18:Test (Best Model) - Loss: 25.1121 - Accuracy: 0.4559 - F1: 0.4557
sub_18:Test (Best Model) - Loss: 19.2931 - Accuracy: 0.3824 - F1: 0.4022
sub_19:Test (Best Model) - Loss: 40.8049 - Accuracy: 0.2500 - F1: 0.1491
sub_19:Test (Best Model) - Loss: 43.6916 - Accuracy: 0.2500 - F1: 0.2188
sub_19:Test (Best Model) - Loss: 24.6464 - Accuracy: 0.2647 - F1: 0.2513
sub_19:Test (Best Model) - Loss: 43.2157 - Accuracy: 0.2941 - F1: 0.2407
sub_19:Test (Best Model) - Loss: 62.1316 - Accuracy: 0.2206 - F1: 0.2222
sub_19:Test (Best Model) - Loss: 25.2532 - Accuracy: 0.3235 - F1: 0.3256
sub_19:Test (Best Model) - Loss: 23.7312 - Accuracy: 0.4118 - F1: 0.3952
sub_19:Test (Best Model) - Loss: 33.2811 - Accuracy: 0.3529 - F1: 0.3480
sub_19:Test (Best Model) - Loss: 28.6057 - Accuracy: 0.3235 - F1: 0.3389
sub_19:Test (Best Model) - Loss: 24.9178 - Accuracy: 0.4412 - F1: 0.4203
sub_19:Test (Best Model) - Loss: 31.6104 - Accuracy: 0.2059 - F1: 0.2363
sub_19:Test (Best Model) - Loss: 49.2936 - Accuracy: 0.2206 - F1: 0.2336
sub_19:Test (Best Model) - Loss: 24.9755 - Accuracy: 0.3824 - F1: 0.3464
sub_19:Test (Best Model) - Loss: 54.3003 - Accuracy: 0.3676 - F1: 0.2960
sub_19:Test (Best Model) - Loss: 36.5419 - Accuracy: 0.3235 - F1: 0.2776
sub_20:Test (Best Model) - Loss: 16.3438 - Accuracy: 0.5147 - F1: 0.5206
sub_20:Test (Best Model) - Loss: 25.7145 - Accuracy: 0.4265 - F1: 0.4169
sub_20:Test (Best Model) - Loss: 17.9375 - Accuracy: 0.6471 - F1: 0.6660
sub_20:Test (Best Model) - Loss: 17.8586 - Accuracy: 0.6029 - F1: 0.6085
sub_20:Test (Best Model) - Loss: 20.0450 - Accuracy: 0.6324 - F1: 0.6155
sub_20:Test (Best Model) - Loss: 20.4773 - Accuracy: 0.4853 - F1: 0.4678
sub_20:Test (Best Model) - Loss: 21.1760 - Accuracy: 0.4118 - F1: 0.3665
sub_20:Test (Best Model) - Loss: 23.4771 - Accuracy: 0.4118 - F1: 0.4070
sub_20:Test (Best Model) - Loss: 21.6953 - Accuracy: 0.5147 - F1: 0.5183
sub_20:Test (Best Model) - Loss: 21.0329 - Accuracy: 0.5000 - F1: 0.5161
sub_20:Test (Best Model) - Loss: 27.7680 - Accuracy: 0.4783 - F1: 0.4643
sub_20:Test (Best Model) - Loss: 33.8819 - Accuracy: 0.4493 - F1: 0.4370
sub_20:Test (Best Model) - Loss: 29.3482 - Accuracy: 0.4638 - F1: 0.4674
sub_20:Test (Best Model) - Loss: 30.1923 - Accuracy: 0.4928 - F1: 0.4790
sub_20:Test (Best Model) - Loss: 17.4253 - Accuracy: 0.4928 - F1: 0.5030
sub_21:Test (Best Model) - Loss: 22.5817 - Accuracy: 0.4853 - F1: 0.4436
sub_21:Test (Best Model) - Loss: 18.1106 - Accuracy: 0.5735 - F1: 0.5193
sub_21:Test (Best Model) - Loss: 24.7618 - Accuracy: 0.5000 - F1: 0.4664
sub_21:Test (Best Model) - Loss: 26.5741 - Accuracy: 0.4559 - F1: 0.4182
sub_21:Test (Best Model) - Loss: 31.4489 - Accuracy: 0.3235 - F1: 0.3120
sub_21:Test (Best Model) - Loss: 25.4392 - Accuracy: 0.4118 - F1: 0.4141
sub_21:Test (Best Model) - Loss: 27.9269 - Accuracy: 0.3382 - F1: 0.2949
sub_21:Test (Best Model) - Loss: 26.4225 - Accuracy: 0.4412 - F1: 0.3254
sub_21:Test (Best Model) - Loss: 18.1471 - Accuracy: 0.3971 - F1: 0.3912
sub_21:Test (Best Model) - Loss: 20.6182 - Accuracy: 0.4853 - F1: 0.4810
sub_21:Test (Best Model) - Loss: 28.6322 - Accuracy: 0.4559 - F1: 0.4030
sub_21:Test (Best Model) - Loss: 25.1029 - Accuracy: 0.4265 - F1: 0.3919
sub_21:Test (Best Model) - Loss: 21.5069 - Accuracy: 0.3971 - F1: 0.3700
sub_21:Test (Best Model) - Loss: 26.8129 - Accuracy: 0.4412 - F1: 0.4185
sub_21:Test (Best Model) - Loss: 29.5221 - Accuracy: 0.4265 - F1: 0.3413
sub_22:Test (Best Model) - Loss: 25.0315 - Accuracy: 0.3235 - F1: 0.3418
sub_22:Test (Best Model) - Loss: 25.7590 - Accuracy: 0.4853 - F1: 0.4484
sub_22:Test (Best Model) - Loss: 29.7719 - Accuracy: 0.4412 - F1: 0.4548
sub_22:Test (Best Model) - Loss: 29.0678 - Accuracy: 0.4265 - F1: 0.3880
sub_22:Test (Best Model) - Loss: 24.3011 - Accuracy: 0.3824 - F1: 0.3618
sub_22:Test (Best Model) - Loss: 44.8342 - Accuracy: 0.4493 - F1: 0.4222
sub_22:Test (Best Model) - Loss: 23.4290 - Accuracy: 0.4493 - F1: 0.3842
sub_22:Test (Best Model) - Loss: 24.1387 - Accuracy: 0.4348 - F1: 0.4013
sub_22:Test (Best Model) - Loss: 27.7801 - Accuracy: 0.4783 - F1: 0.4515
sub_22:Test (Best Model) - Loss: 31.5601 - Accuracy: 0.3188 - F1: 0.3523
sub_22:Test (Best Model) - Loss: 22.8936 - Accuracy: 0.3971 - F1: 0.3868
sub_22:Test (Best Model) - Loss: 22.5307 - Accuracy: 0.4118 - F1: 0.4035
sub_22:Test (Best Model) - Loss: 18.2434 - Accuracy: 0.3971 - F1: 0.3969
sub_22:Test (Best Model) - Loss: 23.9255 - Accuracy: 0.4265 - F1: 0.4431
sub_22:Test (Best Model) - Loss: 17.3015 - Accuracy: 0.4706 - F1: 0.4752
sub_23:Test (Best Model) - Loss: 19.6570 - Accuracy: 0.5217 - F1: 0.5208
sub_23:Test (Best Model) - Loss: 13.4233 - Accuracy: 0.5652 - F1: 0.5903
sub_23:Test (Best Model) - Loss: 17.5587 - Accuracy: 0.5072 - F1: 0.5115
sub_23:Test (Best Model) - Loss: 16.0589 - Accuracy: 0.5652 - F1: 0.5834
sub_23:Test (Best Model) - Loss: 16.4512 - Accuracy: 0.5362 - F1: 0.5475
sub_23:Test (Best Model) - Loss: 14.4042 - Accuracy: 0.5882 - F1: 0.5487
sub_23:Test (Best Model) - Loss: 15.8004 - Accuracy: 0.6029 - F1: 0.5770
sub_23:Test (Best Model) - Loss: 15.9188 - Accuracy: 0.4412 - F1: 0.4111
sub_23:Test (Best Model) - Loss: 7.8634 - Accuracy: 0.6176 - F1: 0.6170
sub_23:Test (Best Model) - Loss: 15.0149 - Accuracy: 0.5441 - F1: 0.4937
sub_23:Test (Best Model) - Loss: 44.8975 - Accuracy: 0.4493 - F1: 0.3891
sub_23:Test (Best Model) - Loss: 37.8496 - Accuracy: 0.4928 - F1: 0.4536
sub_23:Test (Best Model) - Loss: 30.8888 - Accuracy: 0.4493 - F1: 0.4340
sub_23:Test (Best Model) - Loss: 34.7731 - Accuracy: 0.4783 - F1: 0.4657
sub_23:Test (Best Model) - Loss: 26.1838 - Accuracy: 0.5072 - F1: 0.5115
sub_24:Test (Best Model) - Loss: 22.2939 - Accuracy: 0.4265 - F1: 0.4119
sub_24:Test (Best Model) - Loss: 19.1282 - Accuracy: 0.4118 - F1: 0.3791
sub_24:Test (Best Model) - Loss: 27.5283 - Accuracy: 0.4118 - F1: 0.3983
sub_24:Test (Best Model) - Loss: 26.6026 - Accuracy: 0.4265 - F1: 0.4081
sub_24:Test (Best Model) - Loss: 19.1995 - Accuracy: 0.3971 - F1: 0.4035
sub_24:Test (Best Model) - Loss: 11.7531 - Accuracy: 0.4853 - F1: 0.4916
sub_24:Test (Best Model) - Loss: 13.1648 - Accuracy: 0.5000 - F1: 0.4256
sub_24:Test (Best Model) - Loss: 25.9577 - Accuracy: 0.3382 - F1: 0.3078
sub_24:Test (Best Model) - Loss: 12.0057 - Accuracy: 0.4118 - F1: 0.4005
sub_24:Test (Best Model) - Loss: 11.3246 - Accuracy: 0.5441 - F1: 0.5063
sub_24:Test (Best Model) - Loss: 28.3108 - Accuracy: 0.3235 - F1: 0.3148
sub_24:Test (Best Model) - Loss: 44.4849 - Accuracy: 0.3382 - F1: 0.2753
sub_24:Test (Best Model) - Loss: 22.7257 - Accuracy: 0.2059 - F1: 0.2003
sub_24:Test (Best Model) - Loss: 35.8989 - Accuracy: 0.3971 - F1: 0.3461
sub_24:Test (Best Model) - Loss: 34.5166 - Accuracy: 0.3382 - F1: 0.3159
sub_25:Test (Best Model) - Loss: 12.8985 - Accuracy: 0.5797 - F1: 0.5770
sub_25:Test (Best Model) - Loss: 16.8218 - Accuracy: 0.3913 - F1: 0.3639
sub_25:Test (Best Model) - Loss: 25.9644 - Accuracy: 0.5797 - F1: 0.5065
sub_25:Test (Best Model) - Loss: 11.8996 - Accuracy: 0.5652 - F1: 0.5203
sub_25:Test (Best Model) - Loss: 19.3835 - Accuracy: 0.5362 - F1: 0.5141
sub_25:Test (Best Model) - Loss: 28.9715 - Accuracy: 0.4412 - F1: 0.3759
sub_25:Test (Best Model) - Loss: 31.7153 - Accuracy: 0.4559 - F1: 0.3943
sub_25:Test (Best Model) - Loss: 44.3066 - Accuracy: 0.4265 - F1: 0.3047
sub_25:Test (Best Model) - Loss: 21.0811 - Accuracy: 0.5441 - F1: 0.5163
sub_25:Test (Best Model) - Loss: 41.5812 - Accuracy: 0.4412 - F1: 0.4282
sub_25:Test (Best Model) - Loss: 19.4884 - Accuracy: 0.4559 - F1: 0.4365
sub_25:Test (Best Model) - Loss: 14.4029 - Accuracy: 0.4559 - F1: 0.4346
sub_25:Test (Best Model) - Loss: 18.6634 - Accuracy: 0.4853 - F1: 0.4588
sub_25:Test (Best Model) - Loss: 19.4588 - Accuracy: 0.4706 - F1: 0.4762
sub_25:Test (Best Model) - Loss: 13.5549 - Accuracy: 0.5000 - F1: 0.5025
sub_26:Test (Best Model) - Loss: 24.5463 - Accuracy: 0.4493 - F1: 0.4118
sub_26:Test (Best Model) - Loss: 9.5908 - Accuracy: 0.6087 - F1: 0.6150
sub_26:Test (Best Model) - Loss: 18.9473 - Accuracy: 0.5797 - F1: 0.5923
sub_26:Test (Best Model) - Loss: 20.6235 - Accuracy: 0.5507 - F1: 0.5673
sub_26:Test (Best Model) - Loss: 18.1947 - Accuracy: 0.5507 - F1: 0.5547
sub_26:Test (Best Model) - Loss: 31.0069 - Accuracy: 0.2500 - F1: 0.2546
sub_26:Test (Best Model) - Loss: 24.9545 - Accuracy: 0.3529 - F1: 0.3860
sub_26:Test (Best Model) - Loss: 23.0792 - Accuracy: 0.3529 - F1: 0.3078
sub_26:Test (Best Model) - Loss: 25.8831 - Accuracy: 0.3235 - F1: 0.3432
sub_26:Test (Best Model) - Loss: 23.7130 - Accuracy: 0.2941 - F1: 0.3313
sub_26:Test (Best Model) - Loss: 25.5069 - Accuracy: 0.5000 - F1: 0.4996
sub_26:Test (Best Model) - Loss: 20.9402 - Accuracy: 0.4853 - F1: 0.5043
sub_26:Test (Best Model) - Loss: 26.7631 - Accuracy: 0.5147 - F1: 0.5033
sub_26:Test (Best Model) - Loss: 19.8356 - Accuracy: 0.5882 - F1: 0.6019
sub_26:Test (Best Model) - Loss: 23.2484 - Accuracy: 0.5000 - F1: 0.5124
sub_27:Test (Best Model) - Loss: 26.6616 - Accuracy: 0.3623 - F1: 0.3185
sub_27:Test (Best Model) - Loss: 16.0540 - Accuracy: 0.4493 - F1: 0.4328
sub_27:Test (Best Model) - Loss: 19.8858 - Accuracy: 0.4493 - F1: 0.4253
sub_27:Test (Best Model) - Loss: 31.9461 - Accuracy: 0.4203 - F1: 0.4244
sub_27:Test (Best Model) - Loss: 20.4525 - Accuracy: 0.3623 - F1: 0.3706
sub_27:Test (Best Model) - Loss: 63.4647 - Accuracy: 0.4493 - F1: 0.4198
sub_27:Test (Best Model) - Loss: 66.0646 - Accuracy: 0.3043 - F1: 0.2686
sub_27:Test (Best Model) - Loss: 32.7006 - Accuracy: 0.3913 - F1: 0.3765
sub_27:Test (Best Model) - Loss: 41.5093 - Accuracy: 0.3768 - F1: 0.3064
sub_27:Test (Best Model) - Loss: 29.8776 - Accuracy: 0.4493 - F1: 0.4133
sub_27:Test (Best Model) - Loss: 23.9748 - Accuracy: 0.3971 - F1: 0.3818
sub_27:Test (Best Model) - Loss: 21.0773 - Accuracy: 0.5147 - F1: 0.5043
sub_27:Test (Best Model) - Loss: 21.8940 - Accuracy: 0.3529 - F1: 0.3611
sub_27:Test (Best Model) - Loss: 18.3234 - Accuracy: 0.5441 - F1: 0.5414
sub_27:Test (Best Model) - Loss: 21.2664 - Accuracy: 0.4706 - F1: 0.4843
sub_28:Test (Best Model) - Loss: 22.8418 - Accuracy: 0.4412 - F1: 0.4516
sub_28:Test (Best Model) - Loss: 37.5293 - Accuracy: 0.4118 - F1: 0.4083
sub_28:Test (Best Model) - Loss: 29.9620 - Accuracy: 0.3382 - F1: 0.3064
sub_28:Test (Best Model) - Loss: 30.8863 - Accuracy: 0.2647 - F1: 0.2459
sub_28:Test (Best Model) - Loss: 51.1325 - Accuracy: 0.3824 - F1: 0.3479
sub_28:Test (Best Model) - Loss: 56.9648 - Accuracy: 0.2500 - F1: 0.1930
sub_28:Test (Best Model) - Loss: 45.7754 - Accuracy: 0.3088 - F1: 0.2562
sub_28:Test (Best Model) - Loss: 60.8283 - Accuracy: 0.3529 - F1: 0.3452
sub_28:Test (Best Model) - Loss: 48.8114 - Accuracy: 0.2647 - F1: 0.2292
sub_28:Test (Best Model) - Loss: 73.8319 - Accuracy: 0.2500 - F1: 0.1931
sub_28:Test (Best Model) - Loss: 29.8647 - Accuracy: 0.3676 - F1: 0.3213
sub_28:Test (Best Model) - Loss: 46.8718 - Accuracy: 0.3529 - F1: 0.3096
sub_28:Test (Best Model) - Loss: 36.9786 - Accuracy: 0.4412 - F1: 0.4345
sub_28:Test (Best Model) - Loss: 30.0031 - Accuracy: 0.3824 - F1: 0.3160
sub_28:Test (Best Model) - Loss: 19.6746 - Accuracy: 0.3824 - F1: 0.3432
sub_29:Test (Best Model) - Loss: 30.9871 - Accuracy: 0.4706 - F1: 0.4771
sub_29:Test (Best Model) - Loss: 23.3978 - Accuracy: 0.4706 - F1: 0.4920
sub_29:Test (Best Model) - Loss: 21.5998 - Accuracy: 0.5735 - F1: 0.5330
sub_29:Test (Best Model) - Loss: 21.3027 - Accuracy: 0.5294 - F1: 0.5340
sub_29:Test (Best Model) - Loss: 39.1015 - Accuracy: 0.5588 - F1: 0.5213
sub_29:Test (Best Model) - Loss: 17.7491 - Accuracy: 0.5588 - F1: 0.5242
sub_29:Test (Best Model) - Loss: 9.7925 - Accuracy: 0.6471 - F1: 0.6367
sub_29:Test (Best Model) - Loss: 11.7950 - Accuracy: 0.4118 - F1: 0.4289
sub_29:Test (Best Model) - Loss: 14.5926 - Accuracy: 0.6324 - F1: 0.6472
sub_29:Test (Best Model) - Loss: 12.4318 - Accuracy: 0.5441 - F1: 0.5477
sub_29:Test (Best Model) - Loss: 17.9286 - Accuracy: 0.6232 - F1: 0.6153
sub_29:Test (Best Model) - Loss: 12.6741 - Accuracy: 0.6232 - F1: 0.6234
sub_29:Test (Best Model) - Loss: 21.0162 - Accuracy: 0.5362 - F1: 0.5505
sub_29:Test (Best Model) - Loss: 22.2387 - Accuracy: 0.5942 - F1: 0.5459
sub_29:Test (Best Model) - Loss: 15.5456 - Accuracy: 0.5507 - F1: 0.5564

=== Summary Results ===

acc: 44.73 ± 6.22
F1: 43.05 ± 6.38
acc-in: 61.62 ± 6.15
F1-in: 58.69 ± 6.62
