I’m using the "loss" function when I calculate a classification error.
Below is a confusion matrix that has one mis classification.

In abvoe case, I think the loss should be 1/7*100 = 14.3 %.
But the "loss" function shows 15.9 %.
It seems the "loss"’ function has a special logic to calculate loss.
So, I’d like to know what it is. And, if possible, have loss value same as 14.3 % by modifying option in "loss" function.I’m using the "loss" function when I calculate a classification error.
Below is a confusion matrix that has one mis classification.

In abvoe case, I think the loss should be 1/7*100 = 14.3 %.
But the "loss" function shows 15.9 %.
It seems the "loss"’ function has a special logic to calculate loss.
So, I’d like to know what it is. And, if possible, have loss value same as 14.3 % by modifying option in "loss" function. I’m using the "loss" function when I calculate a classification error.
Below is a confusion matrix that has one mis classification.

In abvoe case, I think the loss should be 1/7*100 = 14.3 %.
But the "loss" function shows 15.9 %.
It seems the "loss"’ function has a special logic to calculate loss.
So, I’d like to know what it is. And, if possible, have loss value same as 14.3 % by modifying option in "loss" function. loss classification error MATLAB Answers — New Questions

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