A3 - same X shape but different values for confusion matrix

[thirumalrao]

I have got the same values for train and test data, but confusion matrix is slightly deviating from what's given in Log.txt. Has anyone else faced this... I wonder where and what could have gone wrong. Any pointers will be appreciated.

training data shape: (27867, 18290)

testing data shape: (28033, 18290)

confusion matrix:
Predicted I-LOC I-MISC I-ORG I-PER O
Actual
I-LOC 861 13 58 131 87
I-MISC 54 334 43 40 98
I-ORG 155 21 405 261 173
I-PER 66 10 42 1304 134
O 58 15 33 97 23540

evaluation matrix:
I-LOC I-MISC I-ORG I-PER O
precision 0.721106 0.849873 0.697074 0.711402 0.979527
recall 0.748696 0.586995 0.399015 0.838046 0.991450
f1 0.734642 0.694387 0.507519 0.769549 0.985453

[LarryZhao0616]

I think there must be some small mistake in your confusion() and evaluate() function.

If you don't like to post your code public, you could e-mail it to me. szhao31 AT hawk.iit.edu.

Regards
Sihan

[thirumalrao]

Tried multiple implementations for confusion() All of them are giving me the same values as posted above.