What are evaluation metrics for multi-class classification problem ?

Multi-class classification evaluation can be done in either of the following ways : Average precision of each class, average recall of each class treating classifier for each class as one vs all classifier. Average of accuracy of each class treating the classifier for each class as a one-vs-all classifier Sum of all true positive entries…

You have come up with a Spam classifier. How do you measure accuracy ?

Spam filtering is a classification problem. In a classification problem, the following are the common metrics used to measure efficacy : True positives : Those data points where the outcome is spam and the document is actually spam. True Negatives: Those data points where the outcome is not spam and the document is actually not…