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metrics.log

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+Subset ['m0'] accuracies 
+{'m1': 0.606, 'm2': 0.5941, 'm3': 0.577, 'm4': 0.5077}
+Mean subset ['m0'] accuracies : 0.5711999999999999
+Subset ['m1'] accuracies 
+{'m0': 0.5651, 'm2': 0.8149, 'm3': 0.7851, 'm4': 0.6802}
+Mean subset ['m1'] accuracies : 0.711325
+Subset ['m2'] accuracies 
+{'m0': 0.5518, 'm1': 0.819, 'm3': 0.774, 'm4': 0.6635}
+Mean subset ['m2'] accuracies : 0.702075
+Subset ['m3'] accuracies 
+{'m0': 0.5213, 'm1': 0.7632, 'm2': 0.7461, 'm4': 0.6306}
+Mean subset ['m3'] accuracies : 0.6653
+Subset ['m4'] accuracies 
+{'m0': 0.4459, 'm1': 0.6494, 'm2': 0.63, 'm3': 0.6114}
+Mean subset ['m4'] accuracies : 0.584175
+Subset ['m0', 'm1'] accuracies 
+{'m2': 0.8687, 'm3': 0.8366, 'm4': 0.7067}
+Mean subset ['m0', 'm1'] accuracies : 0.8039999999999999
+Subset ['m0', 'm2'] accuracies 
+{'m1': 0.8779, 'm3': 0.8356, 'm4': 0.7055}
+Mean subset ['m0', 'm2'] accuracies : 0.8063333333333333
+Subset ['m0', 'm3'] accuracies 
+{'m1': 0.8329, 'm2': 0.8203, 'm4': 0.6716}
+Mean subset ['m0', 'm3'] accuracies : 0.7749333333333333
+Subset ['m0', 'm4'] accuracies 
+{'m1': 0.7747, 'm2': 0.7598, 'm3': 0.7339}
+Mean subset ['m0', 'm4'] accuracies : 0.7561333333333332
+Subset ['m1', 'm2'] accuracies 
+{'m0': 0.6305, 'm3': 0.8837, 'm4': 0.7226}
+Mean subset ['m1', 'm2'] accuracies : 0.7456
+Subset ['m1', 'm3'] accuracies 
+{'m0': 0.6281, 'm2': 0.8914, 'm4': 0.7104}
+Mean subset ['m1', 'm3'] accuracies : 0.7433
+Subset ['m1', 'm4'] accuracies 
+{'m0': 0.605, 'm2': 0.8678, 'm3': 0.8391}
+Mean subset ['m1', 'm4'] accuracies : 0.7706333333333332
+Subset ['m2', 'm3'] accuracies 
+{'m0': 0.6161, 'm1': 0.8926, 'm4': 0.6906}
+Mean subset ['m2', 'm3'] accuracies : 0.7331
+Subset ['m2', 'm4'] accuracies 
+{'m0': 0.6071, 'm1': 0.8755, 'm3': 0.8342}
+Mean subset ['m2', 'm4'] accuracies : 0.7722666666666665
+Subset ['m3', 'm4'] accuracies 
+{'m0': 0.5845, 'm1': 0.8393, 'm2': 0.835}
+Mean subset ['m3', 'm4'] accuracies : 0.7529333333333333
+Subset ['m0', 'm1', 'm2'] accuracies 
+{'m3': 0.9324, 'm4': 0.7645}
+Mean subset ['m0', 'm1', 'm2'] accuracies : 0.8484499999999999
+Subset ['m0', 'm1', 'm3'] accuracies 
+{'m2': 0.9281, 'm4': 0.751}
+Mean subset ['m0', 'm1', 'm3'] accuracies : 0.83955
+Subset ['m0', 'm1', 'm4'] accuracies 
+{'m2': 0.915, 'm3': 0.9011}
+Mean subset ['m0', 'm1', 'm4'] accuracies : 0.90805
+Subset ['m0', 'm2', 'm3'] accuracies 
+{'m1': 0.9398, 'm4': 0.7442}
+Mean subset ['m0', 'm2', 'm3'] accuracies : 0.842
+Subset ['m0', 'm2', 'm4'] accuracies 
+{'m1': 0.9287, 'm3': 0.9073}
+Mean subset ['m0', 'm2', 'm4'] accuracies : 0.9179999999999999
+Subset ['m0', 'm3', 'm4'] accuracies 
+{'m1': 0.9142, 'm2': 0.8899}
+Mean subset ['m0', 'm3', 'm4'] accuracies : 0.90205
+Subset ['m1', 'm2', 'm3'] accuracies 
+{'m0': 0.6701, 'm4': 0.7487}
+Mean subset ['m1', 'm2', 'm3'] accuracies : 0.7094
+Subset ['m1', 'm2', 'm4'] accuracies 
+{'m0': 0.6642, 'm3': 0.9308}
+Mean subset ['m1', 'm2', 'm4'] accuracies : 0.7975
+Subset ['m1', 'm3', 'm4'] accuracies 
+{'m0': 0.658, 'm2': 0.9298}
+Mean subset ['m1', 'm3', 'm4'] accuracies : 0.7939
+Subset ['m2', 'm3', 'm4'] accuracies 
+{'m0': 0.6466, 'm1': 0.941}
+Mean subset ['m2', 'm3', 'm4'] accuracies : 0.7938
+Subset ['m0', 'm1', 'm2', 'm3'] accuracies 
+{'m4': 0.7526}
+Mean subset ['m0', 'm1', 'm2', 'm3'] accuracies : 0.7526
+Subset ['m0', 'm1', 'm2', 'm4'] accuracies 
+{'m3': 0.9538}
+Mean subset ['m0', 'm1', 'm2', 'm4'] accuracies : 0.9538
+Subset ['m0', 'm1', 'm3', 'm4'] accuracies 
+{'m2': 0.9413}
+Mean subset ['m0', 'm1', 'm3', 'm4'] accuracies : 0.9413
+Subset ['m0', 'm2', 'm3', 'm4'] accuracies 
+{'m1': 0.9635}
+Mean subset ['m0', 'm2', 'm3', 'm4'] accuracies : 0.9635
+Subset ['m1', 'm2', 'm3', 'm4'] accuracies 
+{'m0': 0.6534}
+Mean subset ['m1', 'm2', 'm3', 'm4'] accuracies : 0.6534
+Conditional accuracies for 1 modalities : 0.6468149999999999 +- 0.05864861592569769
+Conditional accuracies for 2 modalities : 0.7659233333333333 +- 0.02343760060719147
+Conditional accuracies for 3 modalities : 0.8352699999999998 +- 0.061269193727353705
+Conditional accuracies for 4 modalities : 0.8529199999999999 +- 0.12656071112316017
+Joint coherence : 0.0819999948143959