reproducing_mopoe_2 / metrics.log
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Subset ('m0',) accuracies
{'m1': 0.6553, 'm2': 0.6929, 'm3': 0.6706, 'm4': 0.3879}
Mean subset ('m0',) accuracies : 0.601675
Subset ('m1',) accuracies
{'m0': 0.6003, 'm2': 0.8225, 'm3': 0.8014, 'm4': 0.4185}
Mean subset ('m1',) accuracies : 0.660675
Subset ('m2',) accuracies
{'m0': 0.5994, 'm1': 0.745, 'm3': 0.7634, 'm4': 0.4321}
Mean subset ('m2',) accuracies : 0.6349750000000001
Subset ('m3',) accuracies
{'m0': 0.5874, 'm1': 0.7106, 'm2': 0.7611, 'm4': 0.3805}
Mean subset ('m3',) accuracies : 0.6099
Subset ('m4',) accuracies
{'m0': 0.5231, 'm1': 0.6164, 'm2': 0.6526, 'm3': 0.6425}
Mean subset ('m4',) accuracies : 0.60865
Subset ('m0', 'm1') accuracies
{'m2': 0.9113, 'm3': 0.8916, 'm4': 0.4715}
Mean subset ('m0', 'm1') accuracies : 0.7581333333333333
Subset ('m0', 'm2') accuracies
{'m1': 0.8611, 'm3': 0.8683, 'm4': 0.4744}
Mean subset ('m0', 'm2') accuracies : 0.7346
Subset ('m0', 'm3') accuracies
{'m1': 0.8411, 'm2': 0.882, 'm4': 0.4446}
Mean subset ('m0', 'm3') accuracies : 0.7225666666666667
Subset ('m0', 'm4') accuracies
{'m1': 0.8076, 'm2': 0.8419, 'm3': 0.8209}
Mean subset ('m0', 'm4') accuracies : 0.8234666666666666
Subset ('m1', 'm2') accuracies
{'m0': 0.6707, 'm3': 0.9068, 'm4': 0.4862}
Mean subset ('m1', 'm2') accuracies : 0.6879000000000001
Subset ('m1', 'm3') accuracies
{'m0': 0.6759, 'm2': 0.9135, 'm4': 0.4582}
Mean subset ('m1', 'm3') accuracies : 0.6825333333333333
Subset ('m1', 'm4') accuracies
{'m0': 0.6602, 'm2': 0.9042, 'm3': 0.882}
Mean subset ('m1', 'm4') accuracies : 0.8154666666666667
Subset ('m2', 'm3') accuracies
{'m0': 0.6568, 'm1': 0.8582, 'm4': 0.458}
Mean subset ('m2', 'm3') accuracies : 0.6576666666666667
Subset ('m2', 'm4') accuracies
{'m0': 0.6542, 'm1': 0.8429, 'm3': 0.8494}
Mean subset ('m2', 'm4') accuracies : 0.7821666666666668
Subset ('m3', 'm4') accuracies
{'m0': 0.6504, 'm1': 0.8341, 'm2': 0.8772}
Mean subset ('m3', 'm4') accuracies : 0.7872333333333333
Subset ('m0', 'm1', 'm2') accuracies
{'m3': 0.9355, 'm4': 0.4992}
Mean subset ('m0', 'm1', 'm2') accuracies : 0.7173499999999999
Subset ('m0', 'm1', 'm3') accuracies
{'m2': 0.9518, 'm4': 0.4745}
Mean subset ('m0', 'm1', 'm3') accuracies : 0.71315
Subset ('m0', 'm1', 'm4') accuracies
{'m2': 0.946, 'm3': 0.9251}
Mean subset ('m0', 'm1', 'm4') accuracies : 0.93555
Subset ('m0', 'm2', 'm3') accuracies
{'m1': 0.9094, 'm4': 0.4773}
Mean subset ('m0', 'm2', 'm3') accuracies : 0.69335
Subset ('m0', 'm2', 'm4') accuracies
{'m1': 0.9067, 'm3': 0.9134}
Mean subset ('m0', 'm2', 'm4') accuracies : 0.91005
Subset ('m0', 'm3', 'm4') accuracies
{'m1': 0.8927, 'm2': 0.9269}
Mean subset ('m0', 'm3', 'm4') accuracies : 0.9097999999999999
Subset ('m1', 'm2', 'm3') accuracies
{'m0': 0.6859, 'm4': 0.4952}
Mean subset ('m1', 'm2', 'm3') accuracies : 0.5905499999999999
Subset ('m1', 'm2', 'm4') accuracies
{'m0': 0.678, 'm3': 0.9321}
Mean subset ('m1', 'm2', 'm4') accuracies : 0.80505
Subset ('m1', 'm3', 'm4') accuracies
{'m0': 0.6717, 'm2': 0.9474}
Mean subset ('m1', 'm3', 'm4') accuracies : 0.80955
Subset ('m2', 'm3', 'm4') accuracies
{'m0': 0.6716, 'm1': 0.9043}
Mean subset ('m2', 'm3', 'm4') accuracies : 0.7879499999999999
Subset ('m0', 'm1', 'm2', 'm3') accuracies
{'m4': 0.5001}
Mean subset ('m0', 'm1', 'm2', 'm3') accuracies : 0.5001
Subset ('m0', 'm1', 'm2', 'm4') accuracies
{'m3': 0.9502}
Mean subset ('m0', 'm1', 'm2', 'm4') accuracies : 0.9502
Subset ('m0', 'm1', 'm3', 'm4') accuracies
{'m2': 0.9686}
Mean subset ('m0', 'm1', 'm3', 'm4') accuracies : 0.9686
Subset ('m0', 'm2', 'm3', 'm4') accuracies
{'m1': 0.932}
Mean subset ('m0', 'm2', 'm3', 'm4') accuracies : 0.932
Subset ('m1', 'm2', 'm3', 'm4') accuracies
{'m0': 0.6784}
Mean subset ('m1', 'm2', 'm3', 'm4') accuracies : 0.6784
Conditional accuracies for 0 modalities : 0.623175 +- 0.021885800190991435
Conditional accuracies for 1 modalities : 0.7451733333333334 +- 0.05464502579782026
Conditional accuracies for 2 modalities : 0.7872349999999999 +- 0.10525719464720691
Conditional accuracies for 3 modalities : 0.80586 +- 0.18599186648883334
Joint coherence : 0.11299999803304672
Joint likelihood : tensor(9869.6572)
Joint likelihood : tensor(9869.6572)
Joint likelihood from subset ['m0', 'm1', 'm2', 'm3', 'm4'] : tensor(9359.4346)
Joint likelihood from subset ['m0', 'm1', 'm2', 'm3', 'm4'] : tensor(9359.4346)
Subset ('m0',) accuracies
{'m1': 0.6459, 'm2': 0.6941, 'm3': 0.6773, 'm4': 0.3899}
Mean subset ('m0',) accuracies : 0.6018
Subset ('m1',) accuracies
{'m0': 0.6023, 'm2': 0.8213, 'm3': 0.8028, 'm4': 0.4117}
Mean subset ('m1',) accuracies : 0.659525
Subset ('m2',) accuracies
{'m0': 0.6104, 'm1': 0.7504, 'm3': 0.7631, 'm4': 0.4405}
Mean subset ('m2',) accuracies : 0.6411
Subset ('m3',) accuracies
{'m0': 0.5829, 'm1': 0.7066, 'm2': 0.7573, 'm4': 0.3816}
Mean subset ('m3',) accuracies : 0.6071
Subset ('m4',) accuracies
{'m0': 0.525, 'm1': 0.6207, 'm2': 0.6525, 'm3': 0.6384}
Mean subset ('m4',) accuracies : 0.60915
Subset ('m0', 'm1') accuracies
{'m2': 0.9177, 'm3': 0.8918, 'm4': 0.4677}
Mean subset ('m0', 'm1') accuracies : 0.7590666666666666
Subset ('m0', 'm2') accuracies
{'m1': 0.8555, 'm3': 0.8679, 'm4': 0.4769}
Mean subset ('m0', 'm2') accuracies : 0.7334333333333333
Subset ('m0', 'm3') accuracies
{'m1': 0.8404, 'm2': 0.8825, 'm4': 0.4405}
Mean subset ('m0', 'm3') accuracies : 0.7211333333333334
Subset ('m0', 'm4') accuracies
{'m1': 0.8096, 'm2': 0.8436, 'm3': 0.8244}
Mean subset ('m0', 'm4') accuracies : 0.8258666666666666
Subset ('m1', 'm2') accuracies
{'m0': 0.6754, 'm3': 0.9021, 'm4': 0.4867}
Mean subset ('m1', 'm2') accuracies : 0.6880666666666667
Subset ('m1', 'm3') accuracies
{'m0': 0.6831, 'm2': 0.9153, 'm4': 0.4544}
Mean subset ('m1', 'm3') accuracies : 0.6842666666666667
Subset ('m1', 'm4') accuracies
{'m0': 0.6599, 'm2': 0.9068, 'm3': 0.8763}
Mean subset ('m1', 'm4') accuracies : 0.8143333333333334
Subset ('m2', 'm3') accuracies
{'m0': 0.6612, 'm1': 0.8607, 'm4': 0.4617}
Mean subset ('m2', 'm3') accuracies : 0.6612
Subset ('m2', 'm4') accuracies
{'m0': 0.6416, 'm1': 0.8487, 'm3': 0.8546}
Mean subset ('m2', 'm4') accuracies : 0.7816333333333333
Subset ('m3', 'm4') accuracies
{'m0': 0.6426, 'm1': 0.8337, 'm2': 0.8705}
Mean subset ('m3', 'm4') accuracies : 0.7822666666666667
Subset ('m0', 'm1', 'm2') accuracies
{'m3': 0.9379, 'm4': 0.5052}
Mean subset ('m0', 'm1', 'm2') accuracies : 0.7215499999999999
Subset ('m0', 'm1', 'm3') accuracies
{'m2': 0.9503, 'm4': 0.4788}
Mean subset ('m0', 'm1', 'm3') accuracies : 0.71455
Subset ('m0', 'm1', 'm4') accuracies
{'m2': 0.9495, 'm3': 0.928}
Mean subset ('m0', 'm1', 'm4') accuracies : 0.93875
Subset ('m0', 'm2', 'm3') accuracies
{'m1': 0.9089, 'm4': 0.4778}
Mean subset ('m0', 'm2', 'm3') accuracies : 0.69335
Subset ('m0', 'm2', 'm4') accuracies
{'m1': 0.9085, 'm3': 0.9114}
Mean subset ('m0', 'm2', 'm4') accuracies : 0.90995
Subset ('m0', 'm3', 'm4') accuracies
{'m1': 0.8907, 'm2': 0.931}
Mean subset ('m0', 'm3', 'm4') accuracies : 0.91085
Subset ('m1', 'm2', 'm3') accuracies
{'m0': 0.6839, 'm4': 0.4954}
Mean subset ('m1', 'm2', 'm3') accuracies : 0.58965
Subset ('m1', 'm2', 'm4') accuracies
{'m0': 0.6741, 'm3': 0.9315}
Mean subset ('m1', 'm2', 'm4') accuracies : 0.8028
Subset ('m1', 'm3', 'm4') accuracies
{'m0': 0.6853, 'm2': 0.9491}
Mean subset ('m1', 'm3', 'm4') accuracies : 0.8172
Subset ('m2', 'm3', 'm4') accuracies
{'m0': 0.6704, 'm1': 0.9033}
Mean subset ('m2', 'm3', 'm4') accuracies : 0.78685
Subset ('m0', 'm1', 'm2', 'm3') accuracies
{'m4': 0.4945}
Mean subset ('m0', 'm1', 'm2', 'm3') accuracies : 0.4945
Subset ('m0', 'm1', 'm2', 'm4') accuracies
{'m3': 0.9466}
Mean subset ('m0', 'm1', 'm2', 'm4') accuracies : 0.9466
Subset ('m0', 'm1', 'm3', 'm4') accuracies
{'m2': 0.9702}
Mean subset ('m0', 'm1', 'm3', 'm4') accuracies : 0.9702
Subset ('m0', 'm2', 'm3', 'm4') accuracies
{'m1': 0.9339}
Mean subset ('m0', 'm2', 'm3', 'm4') accuracies : 0.9339
Subset ('m1', 'm2', 'm3', 'm4') accuracies
{'m0': 0.6741}
Mean subset ('m1', 'm2', 'm3', 'm4') accuracies : 0.6741
Conditional accuracies for 0 modalities : 0.623735 +- 0.022596712150222225
Conditional accuracies for 1 modalities : 0.7451266666666667 +- 0.053787389682795415
Conditional accuracies for 2 modalities : 0.7885500000000001 +- 0.10576923702097885
Conditional accuracies for 3 modalities : 0.8038599999999999 +- 0.18841198051079447
Joint coherence : 0.11150000244379044
Joint likelihood : tensor(9869.5264)
Joint likelihood : tensor(9869.5264)
Joint likelihood from subset ['m0', 'm1', 'm2', 'm3', 'm4'] : tensor(9359.5586)
Joint likelihood from subset ['m0', 'm1', 'm2', 'm3', 'm4'] : tensor(9359.5586)