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  1.  
  2. ODSZUMIANIE FILTREM: median
  3. ----------------------------------------------------
  4. Time Required to train: 109.44631218910217
  5. Time Required to test: 326.8256080150604
  6. /usr/local/Cellar/python/3.7.2/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/sklearn/metrics/classification.py:1143: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.
  7.   'precision', 'predicted', average, warn_for)
  8.               precision    recall  f1-score   support
  9.  
  10.         Bike       0.33      1.00      0.50     29087
  11.         Ping       0.96      0.47      0.63     29181
  12.      Running       0.00      0.00      0.00     29119
  13.      Walking       0.97      0.49      0.66     29188
  14.  
  15.    micro avg       0.49      0.49      0.49    116575
  16.    macro avg       0.57      0.49      0.45    116575
  17. weighted avg       0.57      0.49      0.45    116575
  18.  
  19. PRECYZJA: 0.4911516191293159
  20. Time Required to train: 6.646486043930054
  21. Time Required to test: 0.686913013458252
  22. /usr/local/Cellar/python/3.7.2/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/sklearn/metrics/classification.py:1143: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.
  23.   'precision', 'predicted', average, warn_for)
  24.               precision    recall  f1-score   support
  25.  
  26.         Bike       0.00      0.00      0.00     29087
  27.         Ping       0.94      0.41      0.57     29181
  28.      Running       0.32      1.00      0.49     29119
  29.      Walking       0.95      0.43      0.60     29188
  30.  
  31.    micro avg       0.46      0.46      0.46    116575
  32.    macro avg       0.55      0.46      0.41    116575
  33. weighted avg       0.55      0.46      0.41    116575
  34.  
  35. PRECYZJA: 0.46046751018657517
  36. Time Required to train: 15.768659830093384
  37. Time Required to test: 0.20130586624145508
  38.               precision    recall  f1-score   support
  39.  
  40.         Bike       0.00      0.00      0.00     29087
  41.         Ping       0.92      0.45      0.60     29181
  42.      Running       0.33      1.00      0.50     29119
  43.      Walking       0.97      0.47      0.63     29188
  44.  
  45.    micro avg       0.48      0.48      0.48    116575
  46.    macro avg       0.55      0.48      0.43    116575
  47. weighted avg       0.55      0.48      0.43    116575
  48.  
  49. PRECYZJA: 0.4802058760454643
  50. *****************************************************
  51.  
  52. ODSZUMIANIE FILTREM: low_pass
  53. ----------------------------------------------------
  54. Time Required to train: 113.61436486244202
  55. Time Required to test: 318.8858370780945
  56. /usr/local/Cellar/python/3.7.2/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/sklearn/metrics/classification.py:1143: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.
  57.   'precision', 'predicted', average, warn_for)
  58.               precision    recall  f1-score   support
  59.  
  60.         Bike       0.00      0.00      0.00     29087
  61.         Ping       0.27      0.93      0.42     29181
  62.      Running       0.00      0.00      0.00     29119
  63.      Walking       0.87      0.43      0.58     29188
  64.  
  65.    micro avg       0.34      0.34      0.34    116575
  66.    macro avg       0.28      0.34      0.25    116575
  67. weighted avg       0.28      0.34      0.25    116575
  68.  
  69. PRECYZJA: 0.34251769247265706
  70. Time Required to train: 7.638476133346558
  71. Time Required to test: 0.5805709362030029
  72. /usr/local/Cellar/python/3.7.2/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/sklearn/metrics/classification.py:1143: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.
  73.   'precision', 'predicted', average, warn_for)
  74.               precision    recall  f1-score   support
  75.  
  76.         Bike       0.00      0.00      0.00     29087
  77.         Ping       0.81      0.43      0.56     29181
  78.      Running       0.33      1.00      0.50     29119
  79.      Walking       0.89      0.41      0.56     29188
  80.  
  81.    micro avg       0.46      0.46      0.46    116575
  82.    macro avg       0.51      0.46      0.40    116575
  83. weighted avg       0.51      0.46      0.40    116575
  84.  
  85. PRECYZJA: 0.4584173279004932
  86. Time Required to train: 16.169973850250244
  87. Time Required to test: 0.24014616012573242
  88.               precision    recall  f1-score   support
  89.  
  90.         Bike       0.33      1.00      0.50     29087
  91.         Ping       0.81      0.43      0.56     29181
  92.      Running       0.00      0.00      0.00     29119
  93.      Walking       0.88      0.41      0.56     29188
  94.  
  95.    micro avg       0.46      0.46      0.46    116575
  96.    macro avg       0.51      0.46      0.41    116575
  97. weighted avg       0.51      0.46      0.41    116575
  98.  
  99. PRECYZJA: 0.4602873686467939
  100. *****************************************************
  101.  
  102. ODSZUMIANIE FILTREM: median_low_pass
  103. ----------------------------------------------------
  104. Time Required to train: 101.87399077415466
  105. /usr/local/Cellar/python/3.7.2/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/sklearn/metrics/classification.py:1143: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.
  106. Time Required to test: 314.2289571762085
  107.               precision    recall  f1-score   support
  108.   'precision', 'predicted', average, warn_for)
  109.  
  110.         Bike       0.00      0.00      0.00     29087
  111.         Ping       0.96      0.47      0.63     29181
  112.      Running       0.33      1.00      0.50     29119
  113.      Walking       0.97      0.49      0.65     29188
  114.  
  115.    micro avg       0.49      0.49      0.49    116575
  116.    macro avg       0.57      0.49      0.45    116575
  117. weighted avg       0.57      0.49      0.45    116575
  118.  
  119. PRECYZJA: 0.49121166630924296
  120. Time Required to train: 7.353879928588867
  121. Time Required to test: 0.5638179779052734
  122. /usr/local/Cellar/python/3.7.2/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/sklearn/metrics/classification.py:1143: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.
  123.   'precision', 'predicted', average, warn_for)
  124.               precision    recall  f1-score   support
  125.  
  126.         Bike       0.00      0.00      0.00     29087
  127.         Ping       0.96      0.41      0.57     29181
  128.      Running       0.32      1.00      0.49     29119
  129.      Walking       0.95      0.45      0.61     29188
  130.  
  131.    micro avg       0.46      0.46      0.46    116575
  132.    macro avg       0.56      0.46      0.42    116575
  133. weighted avg       0.56      0.46      0.42    116575
  134.  
  135. PRECYZJA: 0.4637958395882479
  136. Time Required to train: 14.536303758621216
  137. Time Required to test: 0.1835160255432129
  138.               precision    recall  f1-score   support
  139.  
  140.         Bike       0.33      1.00      0.50     29087
  141.         Ping       0.94      0.47      0.63     29181
  142.      Running       0.00      0.00      0.00     29119
  143.      Walking       0.97      0.48      0.64     29188
  144.  
  145.    micro avg       0.49      0.49      0.49    116575
  146.    macro avg       0.56      0.49      0.44    116575
  147. weighted avg       0.56      0.49      0.44    116575
  148.  
  149. PRECYZJA: 0.48756594467081277
  150. *****************************************************
  151.  
  152. ODSZUMIANIE FILTREM: raw
  153. ----------------------------------------------------
  154. Time Required to train: 126.34143996238708
  155. Time Required to test: 321.5768711566925
  156. /usr/local/Cellar/python/3.7.2/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/sklearn/metrics/classification.py:1143: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.
  157.   'precision', 'predicted', average, warn_for)
  158.               precision    recall  f1-score   support
  159.  
  160.         Bike       0.00      0.00      0.00     29087
  161.         Ping       0.91      0.43      0.59     29181
  162.      Running       0.33      1.00      0.50     29119
  163.      Walking       0.90      0.47      0.62     29188
  164.  
  165.    micro avg       0.48      0.48      0.48    116575
  166.    macro avg       0.53      0.48      0.43    116575
  167. weighted avg       0.54      0.48      0.43    116575
  168.  
  169. PRECYZJA: 0.47532489813424833
  170. Time Required to train: 7.534698963165283
  171. Time Required to test: 0.5957009792327881
  172. /usr/local/Cellar/python/3.7.2/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/sklearn/metrics/classification.py:1143: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.
  173.   'precision', 'predicted', average, warn_for)
  174.               precision    recall  f1-score   support
  175.  
  176.         Bike       0.00      0.00      0.00     29087
  177.         Ping       0.82      0.41      0.55     29181
  178.      Running       0.33      1.00      0.50     29119
  179.      Walking       0.85      0.42      0.56     29188
  180.  
  181.    micro avg       0.46      0.46      0.46    116575
  182.    macro avg       0.50      0.46      0.40    116575
  183. weighted avg       0.50      0.46      0.40    116575
  184.  
  185. PRECYZJA: 0.45794552862963755
  186. Time Required to train: 14.916923999786377
  187. Time Required to test: 0.19340801239013672
  188. /usr/local/Cellar/python/3.7.2/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/sklearn/metrics/classification.py:1143: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.
  189.   'precision', 'predicted', average, warn_for)
  190.               precision    recall  f1-score   support
  191.  
  192.         Bike       0.33      1.00      0.50     29087
  193.         Ping       0.91      0.35      0.51     29181
  194.      Running       0.00      0.00      0.00     29119
  195.      Walking       0.78      0.48      0.59     29188
  196.  
  197.    micro avg       0.46      0.46      0.46    116575
  198.    macro avg       0.51      0.46      0.40    116575
  199. weighted avg       0.51      0.46      0.40    116575
  200.  
  201. PRECYZJA: 0.45671885052541283
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