How good is your classifier? Revisiting the role of evaluation metrics in machine learning
Microsoft
How good is your classifier? Revisiting the role of evaluation metrics in machine learning
With the increasing integration of machine learning into real systems, it is crucial that trained models are optimized to reflect real-world tradeoffs. Increasing interest in proper evaluation has led to a wide variety of metrics employed in practice, often specially designed by experts. However, modern training strategies have not kept up with ...
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