Create metrics.log

metrics.log

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+Subset ('m0',) accuracies 
+{'m1': 0.5383, 'm2': 0.5224, 'm3': 0.5134, 'm4': 0.4848}
+Mean subset ('m0',) accuracies : 0.514725
+Subset ('m1',) accuracies 
+{'m0': 0.4652, 'm2': 0.6665, 'm3': 0.6599, 'm4': 0.6261}
+Mean subset ('m1',) accuracies : 0.604425
+Subset ('m2',) accuracies 
+{'m0': 0.4475, 'm1': 0.6606, 'm3': 0.6391, 'm4': 0.6052}
+Mean subset ('m2',) accuracies : 0.5881
+Subset ('m3',) accuracies 
+{'m0': 0.442, 'm1': 0.6821, 'm2': 0.6782, 'm4': 0.615}
+Mean subset ('m3',) accuracies : 0.604325
+Subset ('m4',) accuracies 
+{'m0': 0.3784, 'm1': 0.5617, 'm2': 0.5587, 'm3': 0.5299}
+Mean subset ('m4',) accuracies : 0.5071749999999999
+Subset ('m0', 'm1') accuracies 
+{'m2': 0.8336, 'm3': 0.7923, 'm4': 0.716}
+Mean subset ('m0', 'm1') accuracies : 0.7806333333333333
+Subset ('m0', 'm2') accuracies 
+{'m1': 0.8215, 'm3': 0.7827, 'm4': 0.6993}
+Mean subset ('m0', 'm2') accuracies : 0.7678333333333334
+Subset ('m0', 'm3') accuracies 
+{'m1': 0.853, 'm2': 0.8561, 'm4': 0.7154}
+Mean subset ('m0', 'm3') accuracies : 0.8081666666666667
+Subset ('m0', 'm4') accuracies 
+{'m1': 0.7752, 'm2': 0.7667, 'm3': 0.7256}
+Mean subset ('m0', 'm4') accuracies : 0.7558333333333334
+Subset ('m1', 'm2') accuracies 
+{'m0': 0.5688, 'm3': 0.8522, 'm4': 0.7645}
+Mean subset ('m1', 'm2') accuracies : 0.7284999999999999
+Subset ('m1', 'm3') accuracies 
+{'m0': 0.579, 'm2': 0.9034, 'm4': 0.7747}
+Mean subset ('m1', 'm3') accuracies : 0.7523666666666666
+Subset ('m1', 'm4') accuracies 
+{'m0': 0.5423, 'm2': 0.8518, 'm3': 0.8087}
+Mean subset ('m1', 'm4') accuracies : 0.7342666666666666
+Subset ('m2', 'm3') accuracies 
+{'m0': 0.5678, 'm1': 0.8917, 'm4': 0.7623}
+Mean subset ('m2', 'm3') accuracies : 0.7406
+Subset ('m2', 'm4') accuracies 
+{'m0': 0.5241, 'm1': 0.8374, 'm3': 0.7936}
+Mean subset ('m2', 'm4') accuracies : 0.7183666666666667
+Subset ('m3', 'm4') accuracies 
+{'m0': 0.5453, 'm1': 0.866, 'm2': 0.8662}
+Mean subset ('m3', 'm4') accuracies : 0.7591666666666667
+Subset ('m0', 'm1', 'm2') accuracies 
+{'m3': 0.906, 'm4': 0.78}
+Mean subset ('m0', 'm1', 'm2') accuracies : 0.843
+Subset ('m0', 'm1', 'm3') accuracies 
+{'m2': 0.943, 'm4': 0.7846}
+Mean subset ('m0', 'm1', 'm3') accuracies : 0.8637999999999999
+Subset ('m0', 'm1', 'm4') accuracies 
+{'m2': 0.9071, 'm3': 0.8739}
+Mean subset ('m0', 'm1', 'm4') accuracies : 0.8905000000000001
+Subset ('m0', 'm2', 'm3') accuracies 
+{'m1': 0.94, 'm4': 0.7803}
+Mean subset ('m0', 'm2', 'm3') accuracies : 0.86015
+Subset ('m0', 'm2', 'm4') accuracies 
+{'m1': 0.9061, 'm3': 0.8701}
+Mean subset ('m0', 'm2', 'm4') accuracies : 0.8881
+Subset ('m0', 'm3', 'm4') accuracies 
+{'m1': 0.9247, 'm2': 0.9143}
+Mean subset ('m0', 'm3', 'm4') accuracies : 0.9195
+Subset ('m1', 'm2', 'm3') accuracies 
+{'m0': 0.5874, 'm4': 0.8048}
+Mean subset ('m1', 'm2', 'm3') accuracies : 0.6960999999999999
+Subset ('m1', 'm2', 'm4') accuracies 
+{'m0': 0.5701, 'm3': 0.9094}
+Mean subset ('m1', 'm2', 'm4') accuracies : 0.73975
+Subset ('m1', 'm3', 'm4') accuracies 
+{'m0': 0.5826, 'm2': 0.9409}
+Mean subset ('m1', 'm3', 'm4') accuracies : 0.7617499999999999
+Subset ('m2', 'm3', 'm4') accuracies 
+{'m0': 0.5726, 'm1': 0.9415}
+Mean subset ('m2', 'm3', 'm4') accuracies : 0.75705
+Subset ('m0', 'm1', 'm2', 'm3') accuracies 
+{'m4': 0.7947}
+Mean subset ('m0', 'm1', 'm2', 'm3') accuracies : 0.7947
+Subset ('m0', 'm1', 'm2', 'm4') accuracies 
+{'m3': 0.9353}
+Mean subset ('m0', 'm1', 'm2', 'm4') accuracies : 0.9353
+Subset ('m0', 'm1', 'm3', 'm4') accuracies 
+{'m2': 0.9616}
+Mean subset ('m0', 'm1', 'm3', 'm4') accuracies : 0.9616
+Subset ('m0', 'm2', 'm3', 'm4') accuracies 
+{'m1': 0.9606}
+Mean subset ('m0', 'm2', 'm3', 'm4') accuracies : 0.9606
+Subset ('m1', 'm2', 'm3', 'm4') accuracies 
+{'m0': 0.5813}
+Mean subset ('m1', 'm2', 'm3', 'm4') accuracies : 0.5813
+Conditional accuracies for 0 modalities : 0.56375 +- 0.043584148494607546
+Conditional accuracies for 1 modalities : 0.7545733333333333 +- 0.025205373324837795
+Conditional accuracies for 2 modalities : 0.82197 +- 0.07257809655812146
+Conditional accuracies for 3 modalities : 0.8467 +- 0.14640105190878924
+Joint coherence : 0.003000000026077032
+
+FIDs
+The FD for modality m0 computed from subset=['m1'] is 90.72425418205074
+The FD for modality m0 computed from subset=['m1', 'm2'] is 99.48610178556464
+The FD for modality m0 computed from subset=['m1', 'm2', 'm3'] is 109.41796463576947
+The FD for modality m0 computed from subset=['m1', 'm2', 'm3', 'm4'] is 118.66652642078384