File size: 4,306 Bytes
26317e3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 |
Subset ('m0',) accuracies
{'m1': 0.6014, 'm2': 0.5859, 'm3': 0.5755, 'm4': 0.5534}
Mean subset ('m0',) accuracies : 0.57905
Subset ('m1',) accuracies
{'m0': 0.4711, 'm2': 0.7107, 'm3': 0.6988, 'm4': 0.6677}
Mean subset ('m1',) accuracies : 0.637075
Subset ('m2',) accuracies
{'m0': 0.4738, 'm1': 0.7181, 'm3': 0.6828, 'm4': 0.6576}
Mean subset ('m2',) accuracies : 0.6330749999999999
Subset ('m3',) accuracies
{'m0': 0.4751, 'm1': 0.7236, 'm2': 0.7194, 'm4': 0.6513}
Mean subset ('m3',) accuracies : 0.64235
Subset ('m4',) accuracies
{'m0': 0.4061, 'm1': 0.5879, 'm2': 0.5928, 'm3': 0.5571}
Mean subset ('m4',) accuracies : 0.535975
Subset ('m0', 'm1') accuracies
{'m2': 0.8675, 'm3': 0.835, 'm4': 0.772}
Mean subset ('m0', 'm1') accuracies : 0.8248333333333333
Subset ('m0', 'm2') accuracies
{'m1': 0.8611, 'm3': 0.8278, 'm4': 0.7557}
Mean subset ('m0', 'm2') accuracies : 0.8148666666666666
Subset ('m0', 'm3') accuracies
{'m1': 0.8746, 'm2': 0.882, 'm4': 0.7687}
Mean subset ('m0', 'm3') accuracies : 0.8417666666666667
Subset ('m0', 'm4') accuracies
{'m1': 0.808, 'm2': 0.8054, 'm3': 0.7694}
Mean subset ('m0', 'm4') accuracies : 0.7942666666666667
Subset ('m1', 'm2') accuracies
{'m0': 0.5956, 'm3': 0.879, 'm4': 0.8133}
Mean subset ('m1', 'm2') accuracies : 0.7626333333333334
Subset ('m1', 'm3') accuracies
{'m0': 0.5964, 'm2': 0.9099, 'm4': 0.8091}
Mean subset ('m1', 'm3') accuracies : 0.7717999999999999
Subset ('m1', 'm4') accuracies
{'m0': 0.5584, 'm2': 0.8687, 'm3': 0.8348}
Mean subset ('m1', 'm4') accuracies : 0.7539666666666666
Subset ('m2', 'm3') accuracies
{'m0': 0.5883, 'm1': 0.9083, 'm4': 0.7942}
Mean subset ('m2', 'm3') accuracies : 0.7636
Subset ('m2', 'm4') accuracies
{'m0': 0.5488, 'm1': 0.8577, 'm3': 0.8256}
Mean subset ('m2', 'm4') accuracies : 0.7440333333333333
Subset ('m3', 'm4') accuracies
{'m0': 0.5669, 'm1': 0.8745, 'm2': 0.8845}
Mean subset ('m3', 'm4') accuracies : 0.7753
Subset ('m0', 'm1', 'm2') accuracies
{'m3': 0.9282, 'm4': 0.8263}
Mean subset ('m0', 'm1', 'm2') accuracies : 0.8772500000000001
Subset ('m0', 'm1', 'm3') accuracies
{'m2': 0.9454, 'm4': 0.8316}
Mean subset ('m0', 'm1', 'm3') accuracies : 0.8885000000000001
Subset ('m0', 'm1', 'm4') accuracies
{'m2': 0.9248, 'm3': 0.9037}
Mean subset ('m0', 'm1', 'm4') accuracies : 0.91425
Subset ('m0', 'm2', 'm3') accuracies
{'m1': 0.9501, 'm4': 0.8255}
Mean subset ('m0', 'm2', 'm3') accuracies : 0.8877999999999999
Subset ('m0', 'm2', 'm4') accuracies
{'m1': 0.9223, 'm3': 0.8991}
Mean subset ('m0', 'm2', 'm4') accuracies : 0.9107000000000001
Subset ('m0', 'm3', 'm4') accuracies
{'m1': 0.937, 'm2': 0.9376}
Mean subset ('m0', 'm3', 'm4') accuracies : 0.9373
Subset ('m1', 'm2', 'm3') accuracies
{'m0': 0.6131, 'm4': 0.8494}
Mean subset ('m1', 'm2', 'm3') accuracies : 0.73125
Subset ('m1', 'm2', 'm4') accuracies
{'m0': 0.6109, 'm3': 0.928}
Mean subset ('m1', 'm2', 'm4') accuracies : 0.76945
Subset ('m1', 'm3', 'm4') accuracies
{'m0': 0.6118, 'm2': 0.949}
Mean subset ('m1', 'm3', 'm4') accuracies : 0.7804
Subset ('m2', 'm3', 'm4') accuracies
{'m0': 0.6059, 'm1': 0.9495}
Mean subset ('m2', 'm3', 'm4') accuracies : 0.7777000000000001
Subset ('m0', 'm1', 'm2', 'm3') accuracies
{'m4': 0.8571}
Mean subset ('m0', 'm1', 'm2', 'm3') accuracies : 0.8571
Subset ('m0', 'm1', 'm2', 'm4') accuracies
{'m3': 0.9495}
Mean subset ('m0', 'm1', 'm2', 'm4') accuracies : 0.9495
Subset ('m0', 'm1', 'm3', 'm4') accuracies
{'m2': 0.964}
Mean subset ('m0', 'm1', 'm3', 'm4') accuracies : 0.964
Subset ('m0', 'm2', 'm3', 'm4') accuracies
{'m1': 0.9671}
Mean subset ('m0', 'm2', 'm3', 'm4') accuracies : 0.9671
Subset ('m1', 'm2', 'm3', 'm4') accuracies
{'m0': 0.6186}
Mean subset ('m1', 'm2', 'm3', 'm4') accuracies : 0.6186
Conditional accuracies for 1 modalities : 0.605505 +- 0.04158993087274851
Conditional accuracies for 2 modalities : 0.7847066666666666 +- 0.03107100041303252
Conditional accuracies for 3 modalities : 0.8474600000000001 +- 0.0704870867606259
Conditional accuracies for 4 modalities : 0.87126 +- 0.13262359669380105
Joint coherence : 0.0031999999191612005
Uploading MVTCAE model to asenella/mmnistMVTCAE_config2_ repo in HF hub...
Creating mmnistMVTCAE_config2_ in the HF hub since it does not exist...
Successfully created mmnistMVTCAE_config2_ in the HF hub!
|