Machine Learning Insights
Hager discusses the effectiveness of simple machine learning models, emphasizing that the complexity of the model isn't always the key to success. He shares how they created their own notion of ground truth by splitting data for validation and testing. Additionally, Hager introduces a unique performance metric called top k accuracy, which better reflects the model's predictive capabilities in a multi-label regression task.In this clip
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