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)