February 26-28, 2020
Montreal, Canada

Machine Learning Model Evaluation Metrics

Choosing the right evaluation metric for your machine learning project is crucial, as it decides which model you’ll ultimately use. How do you choose an appropriate metric? This talk will explore the important evaluation metrics used in regression and classification tasks, their pros and cons, and how to make a smart decision.

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Maria Khalusova


Maria is a Developer Advocate at JetBrains where she focuses on data science, data engineering, and machine learning. Before joining the advocacy team, she has has been a part of such projects as IntelliJ IDEA, TeamCity, Upsource. Maria understands the challenges faced by newcomers to data science and wants to share her knowledge to help others overcome them. She is one of the organizers and co-founders of PyData Montreal, and she has been a speaker at a number of industry events.

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