A recipe for deciding which classification metrics to use for your real-world classification problem — A quick google search will tell you there are hundreds of different papers/blogs/articles on ‘classification metrics’, viz., precision, recall, F1, True Positive Rate, False Positive Rate, PPV, NPV, etc. These articles are a great starting point if you don’t understand the definitions of these metrics. For instance this blog talks…