glcm accuracy

glcm

/home/heimdall/anaconda3/bin/python /mnt/attic/DADA/codes/glcm/class.py
/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)
LR 71.42857142857143
             precision    recall  f1-score   support

          0       0.67      0.67      0.67         3
          1       0.75      0.75      0.75         4

avg / total       0.71      0.71      0.71         7

[[2 1]
 [1 3]]
*****************************



LDA 85.71428571428571
             precision    recall  f1-score   support

          0       0.75      1.00      0.86         3
          1       1.00      0.75      0.86         4

avg / total       0.89      0.86      0.86         7

[[3 0]
 [1 3]]
*****************************



CART 71.42857142857143
             precision    recall  f1-score   support

          0       0.67      0.67      0.67         3
          1       0.75      0.75      0.75         4

avg / total       0.71      0.71      0.71         7

[[2 1]
 [1 3]]
*****************************



NB 57.14285714285714
             precision    recall  f1-score   support

          0       0.00      0.00      0.00         3
          1       0.57      1.00      0.73         4

avg / total       0.33      0.57      0.42         7

[[0 3]
 [0 4]]
*****************************



/home/heimdall/anaconda3/lib/python3.6/site-packages/sklearn/metrics/classification.py:1135: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.
  'precision', 'predicted', average, warn_for)
SVM 42.857142857142854
             precision    recall  f1-score   support

          0       0.43      1.00      0.60         3
          1       0.00      0.00      0.00         4

avg / total       0.18      0.43      0.26         7

[[3 0]
 [4 0]]
*****************************



GBC 71.42857142857143
             precision    recall  f1-score   support

          0       0.67      0.67      0.67         3
          1       0.75      0.75      0.75         4

avg / total       0.71      0.71      0.71         7

[[2 1]
 [1 3]]
*****************************



SGD 42.857142857142854
             precision    recall  f1-score   support

          0       0.40      0.67      0.50         3
          1       0.50      0.25      0.33         4

avg / total       0.46      0.43      0.40         7

[[2 1]
 [3 1]]
*****************************



MLP 57.14285714285714
             precision    recall  f1-score   support

          0       0.00      0.00      0.00         3
          1       0.57      1.00      0.73         4

avg / total       0.33      0.57      0.42         7

[[0 3]
 [0 4]]
*****************************



KNN 85.71428571428571
             precision    recall  f1-score   support

          0       0.75      1.00      0.86         3
          1       1.00      0.75      0.86         4

avg / total       0.89      0.86      0.86         7

[[3 0]
 [1 3]]
*****************************





max: LDA    85.71428571428571

Process finished with exit code 0