constants:
- f1_loss
- armans data
- 12 sensors
- standardize()
- epochs = 100
- max_trials = 10
- PCA = true (except one time false in the default experiment) results showns on the validation set accuracy f1_score precision recall duration
0.897894 0.85117 0.864339 0.844591 67
0.895553 0.855265 0.845706 0.894021 62
0.890579 0.843245 0.835912 0.882771 93
0.904037 0.848914 0.841779 0.87683 46
0.882095 0.854758 0.866497 0.856386 44
0.882095 0.854758 0.866497 0.856386 44
0.900234 0.85591 0.873842 0.846058 106
0.744587 0.710139 0.734928 0.699777 58
0.796957 0.760441 0.760272 0.786037 32
0.903452 0.848055 0.911923 0.825704 57
0.889702 0.847002 0.843386 0.896015 77
0.896138 0.858474 0.914829 0.829312 70
0.899356 0.852269 0.844476 0.889001 59
0.912522 0.856316 0.916381 0.833893 127
0.904623 0.864911 0.890006 0.853925 43
0.9055 0.856231 0.846914 0.88859 77
0.902575 0.850406 0.849429 0.855952 47
0.890579 0.84875 0.852154 0.859785 57
0.898479 0.844684 0.88424 0.83874 49
0.858104 0.813134 0.80579 0.840135 88
0.822411 0.77776 0.784744 0.786989 59
0.722352 0.695793 0.690708 0.721131 85
0.910181 0.879248 0.871014 0.900021 85
0.906671 0.868841 0.860997 0.89059 112
0.915155 0.876315 0.886387 0.868136 97
0.928028 0.891629 0.926892 0.874714 77
0.90316 0.874871 0.907729 0.857619 55
0.914277 0.879927 0.9248 0.858697 52
0.928028 0.891629 0.926892 0.874714 77
0.907256 0.872665 0.887493 0.86914 131
0.910767 0.874032 0.866861 0.890989 61
0.91691 0.875928 0.884376 0.87224 95
0.748976 0.728996 0.722358 0.761251 127
best number of components: 12 15