Suppose for a ML classification problem X, I have three labels, i.e. 1, 0 and -1. For some reasons, I obtained bad accuracy. So I decided to change the number of labels to two, i.e. 1 and -1. That way I got much better result. Now, when I am in the prediction phase, I want first to find what is my threshold level for precision/recall. If the prediction is not within those levels, assume 0. Programmatically, what is the proper way to establish that threshold?
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I need to look at the code to comment further on this project Relevant Skills and Experience I'm actively learning machine learning and deep learning for the past two years. Proposed Milestones $35 CAD - complete