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How to Compare ML Solutions Effectively

Increasing the chances of getting a model to production

Hennie de Harder
Towards Data Science
6 min readJul 6, 2023

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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

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📈 Data Scientist with a passion for math 💻 Currently working at IKEA and BigData Republic 💡 I share tips & tricks and fun side projects