ML Models- Classification
Автор: AI Product Management Playbook
Загружено: 2026-01-06
Просмотров: 4
Описание: explores how machine learning models assign labels by evaluating a spectrum of numerical confidence levels. To translate these raw probabilities into specific categories, developers must establish a classification threshold that determines the boundary between positive and negative results. The video emphasizes that this cutoff point is not fixed; rather, it should be adjusted based on the specific costs of errors, such as balancing the risks of false positives against false negatives. By using tools like a confusion matrix, practitioners can evaluate model performance and select a threshold that best aligns with their unique business objectives and data distribution.
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