manual split

/home/heimdall/anaconda3/bin/python /home/heimdall/pycharm-2018.1/helpers/pydev/pydev_run_in_console.py 36483 41605 /home/heimdall/Desktop/facial_final/train2.py
Running /home/heimdall/Desktop/facial_final/train2.py

import sys; print('Python %s on %s' % (sys.version, sys.platform))
sys.path.extend(['/home/heimdall/Desktop/facial_final'])

Python 3.6.4 |Anaconda, Inc.| (default, Jan 16 2018, 18:10:19) 
Type 'copyright', 'credits' or 'license' for more information
IPython 6.2.1 -- An enhanced Interactive Python. Type '?' for help.
/home/heimdall/anaconda3/lib/python3.6/site-packages/sklearn/cross_validation.py:41: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20.
  "This module will be removed in 0.20.", DeprecationWarning)
[[22.02 11.0 39.01 7.0]
 [22.02 7.07 37.01 18.0]
 [21.02 9.0 30.02 11.0]
 [23.02 12.04 40.0 13.0]
 [21.1 8.06 45.1 19.0]
 [24.0 10.0 33.0 11.0]
 [28.02 11.05 40.11 11.05]
 [24.0 9.0 53.01 16.03]
 [21.38 12.0 43.01 13.04]
 [27.0 11.05 32.0 14.0]
 [24.0 10.05 33.02 12.04]
 [26.02 11.05 41.01 8.0]
 [22.0 12.0 38.0 16.03]
 [25.18 12.0 41.0 14.04]]
***** Decsion Tree *****
accuracy  0.785714285714
Decsion Tree              precision    recall  f1-score   support

          0       1.00      1.00      1.00         3
          1       1.00      0.83      0.91         6
          2       0.00      0.00      0.00         0
          3       0.50      1.00      0.67         1
          4       1.00      0.50      0.67         4

avg / total       0.96      0.79      0.84        14

/home/heimdall/anaconda3/lib/python3.6/site-packages/sklearn/metrics/classification.py:1137: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.
  'recall', 'true', average, warn_for)




***** GB *****
accuracy  0.714285714286
GB              precision    recall  f1-score   support

          0       1.00      0.67      0.80         3
          1       0.83      0.83      0.83         6
          2       0.00      0.00      0.00         0
          3       1.00      1.00      1.00         1
          4       0.67      0.50      0.57         4

avg / total       0.83      0.71      0.76        14





***** RF *****
accuracy  0.785714285714
/home/heimdall/anaconda3/lib/python3.6/site-packages/sklearn/metrics/classification.py:1137: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.
  'recall', 'true', average, warn_for)
RF              precision    recall  f1-score   support

          0       1.00      1.00      1.00         3
          1       0.83      0.83      0.83         6
          2       0.00      0.00      0.00         0
          3       1.00      1.00      1.00         1
          4       1.00      0.50      0.67         4

avg / total       0.93      0.79      0.83        14





PyDev console: using IPython 6.2.1

Python 3.6.4 |Anaconda, Inc.| (default, Jan 16 2018, 18:10:19) 
[GCC 7.2.0] on linux