PCA主成分降维在人脸识别应用-

Total dataset size:
n_samples: 1288
n_features: 1850
n_classes: 7
Extracting the top 150 eigenfaces from 966 faces
done in 0.215s
Projecting the input data on the eigenfaces orthonormal basis
done in 0.023s
Fitting the classifier to the training set
done in 23.334s
Best estimator found by grid search:
SVC(C=1000.0, cache_size=200, class_weight='balanced', coef0=0.0,
  decision_function_shape='ovr', degree=3, gamma=0.001, kernel='rbf',
  max_iter=-1, probability=False, random_state=None, shrinking=True,
  tol=0.001, verbose=False)
Predicting people's names on the test set
done in 0.049s
                   precision    recall  f1-score   support

     Ariel Sharon       0.50      0.69      0.58        13
     Colin Powell       0.80      0.85      0.82        60
  Donald Rumsfeld       0.69      0.74      0.71        27
    George W Bush       0.91      0.89      0.90       146
Gerhard Schroeder       0.82      0.72      0.77        25
      Hugo Chavez       0.83      0.67      0.74        15
       Tony Blair       0.88      0.83      0.86        36

      avg / total       0.84      0.83      0.83       322

[[  9   0   3   1   0   0   0]
 [  2  51   2   4   0   1   0]
 [  5   0  20   2   0   0   0]
 [  2   8   2 130   3   0   1]
 [  0   1   0   3  18   1   2]
 [  0   2   0   1   1  10   1]
 [  0   2   2   2   0   0  30]]