| Subset ('m0',) accuracies | |
| {'m1': 0.4762, 'm2': 0.4815, 'm3': 0.3886, 'm4': 0.3878} | |
| Mean subset ('m0',) accuracies : 0.433525 | |
| Subset ('m1',) accuracies | |
| {'m0': 0.3418, 'm2': 0.6677, 'm3': 0.5174, 'm4': 0.5323} | |
| Mean subset ('m1',) accuracies : 0.5147999999999999 | |
| Subset ('m2',) accuracies | |
| {'m0': 0.319, 'm1': 0.606, 'm3': 0.4926, 'm4': 0.4966} | |
| Mean subset ('m2',) accuracies : 0.47855 | |
| Subset ('m3',) accuracies | |
| {'m0': 0.3115, 'm1': 0.5722, 'm2': 0.5918, 'm4': 0.479} | |
| Mean subset ('m3',) accuracies : 0.488625 | |
| Subset ('m4',) accuracies | |
| {'m0': 0.2541, 'm1': 0.4497, 'm2': 0.4525, 'm3': 0.376} | |
| Mean subset ('m4',) accuracies : 0.38307499999999994 | |
| Subset ('m0', 'm1') accuracies | |
| {'m2': 0.7927, 'm3': 0.6348, 'm4': 0.6208} | |
| Mean subset ('m0', 'm1') accuracies : 0.6827666666666667 | |
| Subset ('m0', 'm2') accuracies | |
| {'m1': 0.7382, 'm3': 0.6179, 'm4': 0.5872} | |
| Mean subset ('m0', 'm2') accuracies : 0.6477666666666667 | |
| Subset ('m0', 'm3') accuracies | |
| {'m1': 0.7221, 'm2': 0.7415, 'm4': 0.5873} | |
| Mean subset ('m0', 'm3') accuracies : 0.6836333333333333 | |
| Subset ('m0', 'm4') accuracies | |
| {'m1': 0.628, 'm2': 0.6413, 'm3': 0.5239} | |
| Mean subset ('m0', 'm4') accuracies : 0.5977333333333333 | |
| Subset ('m1', 'm2') accuracies | |
| {'m0': 0.4046, 'm3': 0.701, 'm4': 0.6826} | |
| Mean subset ('m1', 'm2') accuracies : 0.5960666666666666 | |
| Subset ('m1', 'm3') accuracies | |
| {'m0': 0.4197, 'm2': 0.8389, 'm4': 0.6763} | |
| Mean subset ('m1', 'm3') accuracies : 0.6449666666666666 | |
| Subset ('m1', 'm4') accuracies | |
| {'m0': 0.3826, 'm2': 0.7881, 'm3': 0.6287} | |
| Mean subset ('m1', 'm4') accuracies : 0.5998 | |
| Subset ('m2', 'm3') accuracies | |
| {'m0': 0.4066, 'm1': 0.7942, 'm4': 0.6528} | |
| Mean subset ('m2', 'm3') accuracies : 0.6178666666666667 | |
| Subset ('m2', 'm4') accuracies | |
| {'m0': 0.3764, 'm1': 0.7329, 'm3': 0.6055} | |
| Mean subset ('m2', 'm4') accuracies : 0.5716 | |
| Subset ('m3', 'm4') accuracies | |
| {'m0': 0.3775, 'm1': 0.7203, 'm2': 0.7427} | |
| Mean subset ('m3', 'm4') accuracies : 0.6135 | |
| Subset ('m0', 'm1', 'm2') accuracies | |
| {'m3': 0.7569, 'm4': 0.702} | |
| Mean subset ('m0', 'm1', 'm2') accuracies : 0.7294499999999999 | |
| Subset ('m0', 'm1', 'm3') accuracies | |
| {'m2': 0.8905, 'm4': 0.7066} | |
| Mean subset ('m0', 'm1', 'm3') accuracies : 0.79855 | |
| Subset ('m0', 'm1', 'm4') accuracies | |
| {'m2': 0.8456, 'm3': 0.6995} | |
| Mean subset ('m0', 'm1', 'm4') accuracies : 0.7725500000000001 | |
| Subset ('m0', 'm2', 'm3') accuracies | |
| {'m1': 0.8563, 'm4': 0.6806} | |
| Mean subset ('m0', 'm2', 'm3') accuracies : 0.76845 | |
| Subset ('m0', 'm2', 'm4') accuracies | |
| {'m1': 0.8072, 'm3': 0.6835} | |
| Mean subset ('m0', 'm2', 'm4') accuracies : 0.74535 | |
| Subset ('m0', 'm3', 'm4') accuracies | |
| {'m1': 0.8006, 'm2': 0.8226} | |
| Mean subset ('m0', 'm3', 'm4') accuracies : 0.8116 | |
| Subset ('m1', 'm2', 'm3') accuracies | |
| {'m0': 0.4451, 'm4': 0.7384} | |
| Mean subset ('m1', 'm2', 'm3') accuracies : 0.59175 | |
| Subset ('m1', 'm2', 'm4') accuracies | |
| {'m0': 0.4168, 'm3': 0.7522} | |
| Mean subset ('m1', 'm2', 'm4') accuracies : 0.5845 | |
| Subset ('m1', 'm3', 'm4') accuracies | |
| {'m0': 0.429, 'm2': 0.8923} | |
| Mean subset ('m1', 'm3', 'm4') accuracies : 0.66065 | |
| Subset ('m2', 'm3', 'm4') accuracies | |
| {'m0': 0.4054, 'm1': 0.8544} | |
| Mean subset ('m2', 'm3', 'm4') accuracies : 0.6299 | |
| Subset ('m0', 'm1', 'm2', 'm3') accuracies | |
| {'m4': 0.7376} | |
| Mean subset ('m0', 'm1', 'm2', 'm3') accuracies : 0.7376 | |
| Subset ('m0', 'm1', 'm2', 'm4') accuracies | |
| {'m3': 0.7818} | |
| Mean subset ('m0', 'm1', 'm2', 'm4') accuracies : 0.7818 | |
| Subset ('m0', 'm1', 'm3', 'm4') accuracies | |
| {'m2': 0.9164} | |
| Mean subset ('m0', 'm1', 'm3', 'm4') accuracies : 0.9164 | |
| Subset ('m0', 'm2', 'm3', 'm4') accuracies | |
| {'m1': 0.896} | |
| Mean subset ('m0', 'm2', 'm3', 'm4') accuracies : 0.896 | |
| Subset ('m1', 'm2', 'm3', 'm4') accuracies | |
| {'m0': 0.4418} | |
| Mean subset ('m1', 'm2', 'm3', 'm4') accuracies : 0.4418 | |
| Conditional accuracies for 0 modalities : 0.45971499999999993 +- 0.046442455253786916 | |
| Conditional accuracies for 1 modalities : 0.62557 +- 0.03597073640861107 | |
| Conditional accuracies for 2 modalities : 0.709275 +- 0.08105552495049304 | |
| Conditional accuracies for 3 modalities : 0.7547200000000001 +- 0.17032076091892026 | |
| Joint coherence : 0.00559999980032444 | |
| Uploading MVTCAE model to asenella/mmnistMVTCAE_config1_ repo in HF hub... | |
| Creating mmnistMVTCAE_config1_ in the HF hub since it does not exist... | |
| Successfully created mmnistMVTCAE_config1_ in the HF hub! | |