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CRITICAL:root:Loaded the trained model: /Users/Pradeep/Desktop/OneDrive - Xchanging/xm hack/multiclass text Kaggle/multi-class-text-classification-cnn-master/trained_model_1500438870/checkpoints/model-1400
INFO:root:The number of x_test: 1000
INFO:root:The number of y_test: 1000
2017-07-19 13:00:01.549856: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2017-07-19 13:00:01.549895: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
INFO:tensorflow:Restoring parameters from /Users/Pradeep/Desktop/OneDrive - Xchanging/xm hack/multiclass text Kaggle/multi-class-text-classification-cnn-master/trained_model_1500438870/checkpoints/model-1400
INFO:tensorflow:Restoring parameters from /Users/Pradeep/Desktop/OneDrive - Xchanging/xm hack/multiclass text Kaggle/multi-class-text-classification-cnn-master/trained_model_1500438870/checkpoints/model-1400
CRITICAL:root:The batch_predictions is: [2]
CRITICAL:root:The all_predictions is: [ 6. 6. 6. 4. 6. 4. 3. 6. 4. 6. 3. 4. 1. 2. 3.
0. 3. 2. 4. 0. 3. 4. 4. 3. 4. 6. 4. 4. 4. 4.
0. 6. 2. 4. 4. 6. 3. 3. 4. 3. 4. 4. 3. 0. 4.
6. 3. 6. 6. 6. 4. 4. 2. 6. 6. 3. 4. 4. 4. 10.
0. 0. 2. 4. 3. 10. 4. 1. 3. 0. 6. 4. 0. 6. 4.
4. 4. 4. 6. 4. 2. 3. 4. 0. 4. 2. 2. 10. 4. 2.
4. 6. 4. 2. 0. 4. 3. 2. 3. 3. 6. 4. 6. 4. 3.
0. 6. 0. 4. 0. 0. 3. 3. 6. 3. 1. 3. 0. 4. 4.
3. 1. 0. 0. 3. 4. 3. 2. 2. 6. 4. 4. 6. 3. 1.
6. 4. 6. 4. 6. 6. 3. 4. 4. 3. 3. 4. 6. 0. 4.
4. 3. 3. 4. 0. 6. 4. 4. 6. 3. 4. 0. 2. 4. 4.
2. 6. 6. 10. 6. 3. 3. 2. 0. 10. 0. 4. 4. 3. 4.
4. 6. 4. 3. 6. 6. 3. 6. 3. 6. 3. 0. 6. 4. 4.
4. 0. 4. 2. 6. 0. 6. 2. 3. 2. 6. 4. 2. 10. 0.
3. 3. 2. 0. 6. 3. 3. 4. 2. 2. 6. 4. 2. 0. 3.
3. 6. 4. 6. 4. 6. 2. 1. 4. 0. 3. 6. 3. 6. 0.
0. 4. 2. 4. 1. 2. 4. 3. 4. 4. 3. 6. 0. 4. 3.
3. 0. 6. 6. 4. 2. 6. 2. 6. 3. 6. 4. 4. 6. 4.
2. 4. 4. 4. 6. 2. 3. 1. 2. 4. 2. 4. 3. 4. 4.
10. 3. 2. 4. 6. 6. 4. 3. 6. 4. 4. 6. 6. 6. 6.
4. 4. 0. 0. 6. 4. 4. 0. 4. 0. 2. 4. 4. 0. 4.
3. 4. 4. 4. 4. 6. 2. 4. 4. 6. 4. 4. 6. 4. 4.
4. 6. 4. 3. 4. 2. 4. 3. 3. 0. 4. 1. 2. 4. 4.
6. 6. 0. 2. 0. 6. 4. 4. 0. 0. 6. 3. 4. 6. 4.
0. 3. 2. 3. 3. 0. 6. 4. 1. 2. 6. 2. 4. 6. 4.
1. 3. 3. 4. 0. 6. 4. 2. 4. 4. 4. 6. 0. 3. 2.
6. 2. 0. 2. 6. 3. 6. 6. 0. 2. 6. 3. 2. 3. 6.
3. 6. 4. 4. 0. 4. 4. 6. 0. 3. 4. 2. 10. 4. 4.
6. 1. 6. 6. 2. 4. 3. 4. 4. 4. 2. 6. 4. 6. 4.
1. 3. 4. 4. 0. 4. 4. 2. 4. 9. 0. 1. 3. 6. 4.
2. 3. 3. 4. 2. 4. 4. 3. 0. 3. 0. 6. 3. 3. 4.
6. 6. 3. 0. 3. 3. 0. 3. 6. 4. 3. 3. 4. 3. 3.
4. 6. 6. 4. 3. 2. 0. 4. 2. 4. 3. 4. 1. 6. 4.
6. 6. 6. 3. 1. 0. 10. 3. 6. 6. 0. 2. 0. 4. 3.
0. 4. 3. 6. 2. 4. 0. 6. 3. 3. 4. 4. 2. 6. 6.
6. 4. 2. 1. 0. 4. 4. 3. 0. 3. 6. 3. 4. 6. 6.
6. 4. 4. 4. 6. 4. 3. 4. 2. 3. 6. 3. 2. 4. 2.
4. 4. 4. 3. 4. 6. 3. 6. 4. 6. 3. 2. 6. 4. 0.
4. 6. 6. 3. 6. 4. 2. 1. 3. 1. 4. 0. 3. 4. 4.
4. 0. 4. 3. 0. 4. 6. 2. 4. 4. 3. 6. 3. 3. 2.
3. 6. 6. 6. 3. 4. 4. 4. 4. 4. 0. 0. 2. 4. 1.
4. 3. 6. 3. 2. 3. 4. 3. 6. 6. 3. 6. 3. 2. 0.
10. 6. 6. 2. 4. 4. 6. 2. 3. 4. 0. 6. 2. 3. 3.
4. 3. 3. 3. 3. 0. 4. 0. 3. 6. 6. 0. 4. 3. 3.
10. 4. 4. 6. 0. 3. 3. 6. 4. 3. 4. 6. 6. 4. 3.
4. 3. 3. 6. 3. 6. 6. 4. 3. 3. 4. 4. 4. 2. 2.
1. 0. 4. 6. 2. 4. 2. 0. 6. 6. 6. 3. 4. 4. 6.
3. 2. 6. 2. 6. 3. 4. 4. 4. 4. 0. 0. 6. 3. 4.
6. 3. 4. 6. 4. 6. 4. 3. 6. 4. 10. 0. 6. 6. 6.
10. 3. 4. 6. 3. 4. 2. 6. 3. 3. 4. 6. 4. 4. 3.
1. 3. 1. 6. 3. 6. 6. 6. 6. 4. 6. 4. 0. 1. 4.
4. 6. 3. 6. 2. 4. 4. 6. 6. 3. 4. 3. 4. 3. 4.
4. 4. 2. 3. 4. 1. 4. 4. 4. 2. 3. 6. 1. 4. 4.
6. 3. 4. 4. 4. 3. 6. 2. 6. 4. 6. 6. 2. 6. 3.
4. 0. 6. 2. 6. 6. 2. 6. 4. 3. 6. 3. 3. 4. 0.
3. 3. 2. 6. 0. 4. 6. 6. 6. 6. 2. 4. 6. 6. 1.
3. 6. 4. 3. 4. 3. 0. 4. 0. 2. 4. 4. 4. 0. 4.
4. 1. 4. 4. 3. 3. 6. 0. 4. 0. 6. 2. 3. 3. 4.
6. 2. 4. 0. 6. 4. 6. 6. 4. 2. 4. 4. 2. 2. 3.
0. 2. 3. 6. 0. 10. 0. 4. 3. 4. 4. 0. 6. 6. 6.
2. 6. 6. 4. 2. 0. 2. 3. 6. 4. 3. 4. 4. 3. 2.
3. 3. 4. 6. 0. 6. 0. 4. 3. 6. 0. 3. 0. 0. 4.
4. 3. 6. 3. 4. 4. 4. 4. 0. 6. 4. 4. 1. 6. 4.
4. 6. 0. 2. 4. 4. 0. 10. 4. 10. 3. 6. 6. 6. 0.
2. 4. 1. 4. 1. 0. 0. 3. 4. 4. 0. 4. 2. 3. 2.
6. 6. 4. 6. 2. 3. 0. 6. 4. 0. 3. 6. 6. 3. 4.
6. 4. 0. 3. 4. 4. 2. 6. 2. 2.]
CRITICAL:root:The y_test is: [ 6 6 6 8 6 4 3 6 2 4 3 4 1 2 3 2 3 2 4 0 6 4 4 2 4
6 4 1 8 4 0 6 2 4 8 6 4 3 8 3 4 4 3 4 4 6 3 6 6 6
4 4 3 1 6 2 4 10 8 6 5 9 2 2 3 10 4 1 3 2 6 8 2 6 4
10 4 2 6 4 2 4 4 0 4 2 2 10 4 2 4 6 4 4 5 1 3 2 3 3
6 4 6 4 10 5 6 0 6 1 1 3 3 6 3 1 3 0 4 6 3 8 0 2 0
4 3 0 2 6 4 2 6 3 8 6 4 6 3 6 6 4 5 4 3 3 4 3 2 4
2 4 4 4 5 6 1 2 6 4 4 0 2 0 2 2 6 6 10 6 3 4 2 0 10
4 4 4 3 9 1 6 4 3 6 6 3 6 3 6 3 2 6 4 4 4 2 4 4 6
4 10 0 4 2 6 4 0 4 0 3 3 2 0 6 3 3 3 9 0 6 4 2 6 3
3 6 4 6 3 6 4 10 4 0 3 6 1 6 6 0 4 0 4 1 0 4 3 3 4
3 6 1 4 3 3 0 6 6 4 9 6 2 6 3 6 4 4 6 4 2 4 8 2 4
9 3 1 5 4 2 4 3 8 4 10 4 2 4 6 6 4 3 6 4 2 6 6 6 6
2 8 0 0 6 4 3 2 4 4 2 4 4 0 1 0 4 4 3 4 6 2 2 4 2
2 2 6 4 4 4 6 4 0 4 2 4 3 3 0 4 1 0 4 3 6 6 0 8 5
6 4 4 0 0 6 3 4 6 4 2 3 0 3 1 0 6 4 1 2 6 2 1 6 4
1 1 4 4 2 6 4 2 4 4 4 6 10 3 3 6 2 6 2 6 2 6 6 0 2
6 3 9 3 6 3 6 4 4 2 4 3 6 0 3 4 2 10 2 4 6 8 6 6 2
4 3 2 4 4 4 6 4 6 4 1 3 4 4 0 4 4 4 8 9 2 1 3 6 2
2 3 3 4 2 4 4 3 1 3 0 6 3 3 4 6 1 3 0 3 3 0 3 8 4
3 1 4 4 3 4 6 6 4 3 2 0 3 2 4 3 4 0 4 4 3 6 6 3 1
0 4 3 6 6 0 2 0 4 3 0 4 3 6 0 4 0 6 4 3 1 4 3 6 6
6 4 9 1 0 4 4 4 1 3 6 3 2 6 6 0 4 4 4 6 4 7 10 2 3
6 3 2 4 2 4 4 4 3 3 6 3 6 4 6 3 2 6 3 0 4 1 6 3 6
3 2 4 2 6 4 0 3 4 4 4 0 4 3 0 4 6 9 4 4 1 6 3 2 0
1 6 6 6 4 4 2 4 4 4 0 2 9 4 1 4 3 6 3 2 1 4 4 6 6
3 1 3 2 4 10 6 6 2 4 4 6 2 3 5 2 6 4 3 3 4 3 3 3 3
0 4 5 2 6 6 9 4 3 2 4 4 4 6 0 3 3 6 4 3 4 6 6 4 3
4 4 4 6 3 6 6 4 4 0 10 4 4 2 9 0 0 4 10 2 4 2 0 6 6
6 4 4 4 6 3 9 6 2 6 3 4 4 4 4 8 1 4 3 4 6 3 4 3 4
6 4 3 6 4 10 0 6 6 6 4 3 4 4 3 4 2 6 4 3 4 6 4 3 3
1 4 4 6 3 6 6 10 6 4 6 0 0 2 4 4 6 1 6 2 4 4 6 6 3
6 3 4 3 4 4 4 2 3 4 1 4 8 4 2 3 1 1 9 10 6 0 4 2 2
3 0 2 6 10 6 6 2 6 4 4 5 6 2 6 6 2 6 4 3 6 3 3 4 0
3 3 4 6 0 4 6 6 6 6 9 4 4 6 8 0 6 4 3 4 10 0 4 2 4
4 10 4 0 4 4 1 4 3 3 3 6 10 4 0 6 0 3 3 4 6 2 4 5 6
1 6 6 4 2 4 2 2 2 3 9 3 10 6 2 10 2 4 3 4 2 0 6 8 6
2 6 6 4 2 0 2 3 6 4 3 4 4 3 0 3 6 10 6 0 6 0 2 2 6
0 4 0 0 4 6 4 6 4 4 4 3 7 0 6 0 4 1 6 4 4 6 0 2 4
4 0 10 10 10 3 6 6 6 2 2 6 1 4 3 1 0 3 4 4 2 4 2 3 5
6 3 4 6 4 3 0 1 5 0 2 6 6 3 4 6 3 6 4 4 4 2 6 2 2]
CRITICAL:root:The correct_predictions is: 736
CRITICAL:root:The accuracy is: 0.736