Understanding Confusion Matrix

[zafarlfc]

I have 5 classes in my dataset,

1. Gun
2. Knife
3. Pliers
4. Scissors
5. Wrench
   After successfully running your script I got the following confusion matrix,

Confusion Matrix:
[[928.   1.   0.   0.   0.  47.]
 [  3. 310.   0.   2.   6. 283.]
 [  1.   0. 816.   0.  18. 258.]
 [  0.   4.   3. 200.   0.  42.]
 [  2.   0.   7.   0. 386. 183.]
 [ 13.   6.  17.   2.  22.   0.]]

I think the last column represents the False Negatives and the last row represents the False Positives. Kindly tell me what the last column and last row of my matrix represent? Thank you.

[dnth]

The last row/column is the "nothing" class where the object pertaining to the class is not detected

#18