SVM training result

svm_training_result

Best parameters set:
{'kernel': 'linear', 'C': 1}

Confusion matrix:
Labels: 8531,8539,8567,8568,8599,8715,8760,8773,8777,8778,8808,8816

[[ 4  0  0  0  0  0  0  0  0  0  0  0]
 [ 0  2  0  0  0  0  0  0  0  0  0  0]
 [ 0  0 12  0  0  0  0  0  0  0  0  0]
 [ 0  0  0  9  0  0  0  0  0  0  0  0]
 [ 0  0  0  0 19  0  0  0  0  0  0  0]
 [ 0  0  0  0  0  8  0  0  0  0  0  0]
 [ 0  0  0  0  0  0  8  0  0  0  0  0]
 [ 0  0  0  0  0  0  0  5  0  0  0  0]
 [ 0  0  0  0  0  0  0  0  9  0  0  0]
 [ 0  0  0  0  0  0  0  0  0 11  0  0]
 [ 0  0  0  0  0  0  0  0  0  0  5  0]
 [ 0  0  0  0  0  0  0  0  0  0  0  4]]

Classification report:
             precision    recall  f1-score   support

       8531       1.00      1.00      1.00         4
       8539       1.00      1.00      1.00         2
       8567       1.00      1.00      1.00        12
       8568       1.00      1.00      1.00         9
       8599       1.00      1.00      1.00        19
       8715       1.00      1.00      1.00         8
       8760       1.00      1.00      1.00         8
       8773       1.00      1.00      1.00         5
       8777       1.00      1.00      1.00         9
       8778       1.00      1.00      1.00        11
       8808       1.00      1.00      1.00         5
       8816       1.00      1.00      1.00         4

avg / total       1.00      1.00      1.00        96