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I have built two text classifier models, one has 200 features the other has 100 features (reduced to 100 from 200 after feature selection). I see similar performances in both. Which model should I go ahead with for production?

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You should go with the simpler model, the one that needs fewer features. Fewer features means quicker training cycles, better interpretibility and a faster forward pass. All of these are important considerations if you would like to productionize your model.

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