Machine Learning Model Evaluation Metrics - Maria Khalusova - ML4ALL 2019

Machine Learning Model Evaluation Metrics
Maria Khalusova

Choosing the right evaluation metric for your machine learning project is crucial, as it decides which model you’ll ultimately use. Those coming to ML from software development are often self-taught, but practice exercises and competitions generally dictate the evaluation metric. In a real-world scenario, 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 what is important when choosing one.