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metrics_user_independent.txt
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metrics_user_independent.txt
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Running init 00, dataset BML ...
precision= 0.3750, recall= 0.3750, f-score= 0.3750, accuracy= 0.3750
Running init 00, dataset CMU ...
precision= 0.7551, recall= 0.7551, f-score= 0.7551, accuracy= 0.7551
Running init 00, dataset Human3.6M ...
precision= 0.5000, recall= 0.5000, f-score= 0.5000, accuracy= 0.5000
Running init 00, dataset ICT ...
precision= 0.6250, recall= 0.6250, f-score= 0.6250, accuracy= 0.6250
Running init 00, dataset SIG ...
precision= 0.5366, recall= 0.5366, f-score= 0.5366, accuracy= 0.5366
Running init 00, dataset UNC_RGB ...
precision= 0.7262, recall= 0.7262, f-score= 0.7262, accuracy= 0.7262
Running init 01, dataset BML ...
precision= 0.4333, recall= 0.4333, f-score= 0.4333, accuracy= 0.4333
Running init 01, dataset CMU ...
precision= 0.7551, recall= 0.7551, f-score= 0.7551, accuracy= 0.7551
Running init 01, dataset Human3.6M ...
precision= 0.8571, recall= 0.8571, f-score= 0.8571, accuracy= 0.8571
Running init 01, dataset ICT ...
precision= 0.5000, recall= 0.5000, f-score= 0.5000, accuracy= 0.5000
Running init 01, dataset SIG ...
precision= 0.5366, recall= 0.5366, f-score= 0.5366, accuracy= 0.5366
Running init 01, dataset UNC_RGB ...
precision= 0.6786, recall= 0.6786, f-score= 0.6786, accuracy= 0.6786
Running init 02, dataset BML ...
precision= 0.2667, recall= 0.2667, f-score= 0.2667, accuracy= 0.2667
Running init 02, dataset CMU ...
precision= 0.7551, recall= 0.7551, f-score= 0.7551, accuracy= 0.7551
Running init 02, dataset Human3.6M ...
precision= 0.5000, recall= 0.5000, f-score= 0.5000, accuracy= 0.5000
Running init 02, dataset ICT ...
precision= 0.5000, recall= 0.5000, f-score= 0.5000, accuracy= 0.5000
Running init 02, dataset SIG ...
precision= 0.5610, recall= 0.5610, f-score= 0.5610, accuracy= 0.5610
Running init 02, dataset UNC_RGB ...
precision= 0.7381, recall= 0.7381, f-score= 0.7381, accuracy= 0.7381
Running init 03, dataset BML ...
precision= 0.2083, recall= 0.2083, f-score= 0.2083, accuracy= 0.2083
Running init 03, dataset CMU ...
precision= 0.6939, recall= 0.6939, f-score= 0.6939, accuracy= 0.6939
Running init 03, dataset Human3.6M ...
precision= 0.7143, recall= 0.7143, f-score= 0.7143, accuracy= 0.7143
Running init 03, dataset ICT ...
precision= 0.6667, recall= 0.6667, f-score= 0.6667, accuracy= 0.6667
Running init 03, dataset SIG ...
precision= 0.5366, recall= 0.5366, f-score= 0.5366, accuracy= 0.5366
Running init 03, dataset UNC_RGB ...
precision= 0.6905, recall= 0.6905, f-score= 0.6905, accuracy= 0.6905
Running init 04, dataset BML ...
precision= 0.4000, recall= 0.4000, f-score= 0.4000, accuracy= 0.4000
Running init 04, dataset CMU ...
precision= 0.7755, recall= 0.7755, f-score= 0.7755, accuracy= 0.7755
Running init 04, dataset Human3.6M ...
precision= 0.7857, recall= 0.7857, f-score= 0.7857, accuracy= 0.7857
Running init 04, dataset ICT ...
precision= 0.6250, recall= 0.6250, f-score= 0.6250, accuracy= 0.6250
Running init 04, dataset SIG ...
precision= 0.6098, recall= 0.6098, f-score= 0.6098, accuracy= 0.6098
Running init 04, dataset UNC_RGB ...
precision= 0.7143, recall= 0.7143, f-score= 0.7143, accuracy= 0.7143
Running init 05, dataset BML ...
precision= 0.4500, recall= 0.4500, f-score= 0.4500, accuracy= 0.4500
Running init 05, dataset CMU ...
precision= 0.6327, recall= 0.6327, f-score= 0.6327, accuracy= 0.6327
Running init 05, dataset Human3.6M ...
precision= 0.7143, recall= 0.7143, f-score= 0.7143, accuracy= 0.7143
Running init 05, dataset ICT ...
precision= 0.6667, recall= 0.6667, f-score= 0.6667, accuracy= 0.6667
Running init 05, dataset SIG ...
precision= 0.5366, recall= 0.5366, f-score= 0.5366, accuracy= 0.5366
Running init 05, dataset UNC_RGB ...
precision= 0.6905, recall= 0.6905, f-score= 0.6905, accuracy= 0.6905
Running init 06, dataset BML ...
precision= 0.2500, recall= 0.2500, f-score= 0.2500, accuracy= 0.2500
Running init 06, dataset CMU ...
precision= 0.7143, recall= 0.7143, f-score= 0.7143, accuracy= 0.7143
Running init 06, dataset Human3.6M ...
precision= 0.7143, recall= 0.7143, f-score= 0.7143, accuracy= 0.7143
Running init 06, dataset ICT ...
precision= 0.6667, recall= 0.6667, f-score= 0.6667, accuracy= 0.6667
Running init 06, dataset SIG ...
precision= 0.5366, recall= 0.5366, f-score= 0.5366, accuracy= 0.5366
Running init 06, dataset UNC_RGB ...
precision= 0.7381, recall= 0.7381, f-score= 0.7381, accuracy= 0.7381
Running init 07, dataset BML ...
precision= 0.4083, recall= 0.4083, f-score= 0.4083, accuracy= 0.4083
Running init 07, dataset CMU ...
precision= 0.6122, recall= 0.6122, f-score= 0.6122, accuracy= 0.6122
Running init 07, dataset Human3.6M ...
precision= 0.9286, recall= 0.9286, f-score= 0.9286, accuracy= 0.9286
Running init 07, dataset ICT ...
precision= 0.5833, recall= 0.5833, f-score= 0.5833, accuracy= 0.5833
Running init 07, dataset SIG ...
precision= 0.5610, recall= 0.5610, f-score= 0.5610, accuracy= 0.5610
Running init 07, dataset UNC_RGB ...
precision= 0.7381, recall= 0.7381, f-score= 0.7381, accuracy= 0.7381
Running init 08, dataset BML ...
precision= 0.3667, recall= 0.3667, f-score= 0.3667, accuracy= 0.3667
Running init 08, dataset CMU ...
precision= 0.6122, recall= 0.6122, f-score= 0.6122, accuracy= 0.6122
Running init 08, dataset Human3.6M ...
precision= 1.0000, recall= 1.0000, f-score= 1.0000, accuracy= 1.0000
Running init 08, dataset ICT ...
precision= 0.5833, recall= 0.5833, f-score= 0.5833, accuracy= 0.5833
Running init 08, dataset SIG ...
precision= 0.5122, recall= 0.5122, f-score= 0.5122, accuracy= 0.5122
Running init 08, dataset UNC_RGB ...
precision= 0.7500, recall= 0.7500, f-score= 0.7500, accuracy= 0.7500
Running init 09, dataset BML ...
precision= 0.3750, recall= 0.3750, f-score= 0.3750, accuracy= 0.3750
Running init 09, dataset CMU ...
precision= 0.6735, recall= 0.6735, f-score= 0.6735, accuracy= 0.6735
Running init 09, dataset Human3.6M ...
precision= 0.7143, recall= 0.7143, f-score= 0.7143, accuracy= 0.7143
Running init 09, dataset ICT ...
precision= 0.6250, recall= 0.6250, f-score= 0.6250, accuracy= 0.6250
Running init 09, dataset SIG ...
precision= 0.5610, recall= 0.5610, f-score= 0.5610, accuracy= 0.5610
Running init 09, dataset UNC_RGB ...
precision= 0.7262, recall= 0.7262, f-score= 0.7262, accuracy= 0.7262