Contents tagged with Classification
today I want to add few more notes about measuring of quality of learning, but today about tasks of classification.
So, one of the ways can be measuring number of wrong answers. For example with usage of the following formula:
Imagine that your classification set has three possible labels: a (10 elements ), b ( 15 elements ), c ( 20 elements ). And let's say that your model wrongly classified 2 out of a, 3 out of b and 4 out of c. In that case following formula is applicable:
Historically it happend that in classification tasks it is common to maximaze function, while in regression learning vice versa.
Another common measurement of quality of classification is … more