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Which is more important to you – model accuracy or model performance?
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Machine Learning
55 years
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Answers ( 2 )
model performance because accuracy can be misleading especially in an imbalanced dataset scenario
Always Model Performance. You can get 100% accuracy on your own dataset but what happens when your model is applied to unseen data? That performance only matters. So always take when you are cross-validation strategy and belive on your local cv score if you have select correct validation strategy. Sometimes, cross-validation strategy may mislead you too.