How to Compare ML Solutions Effectively?

How to Compare ML Solutions Effectively

Increasing the chances of getting a model to production

When evaluating and comparing machine learning solutions, your first go-to evaluation metric will probably be predictive power. It’s easy to compare different models with one single metric, and this is perfectly fine in Kaggle competitions. In real life, the situation is different. Imagine two models: one model that uses 100 features and a complex architecture, and a model …

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