Why prevalence shifts matter in machine learning
In machine learning, the validation of binary classifiers, algorithms that categorise data into two classes, is essential. However, a frequently overlooked issue is prevalence shift, which occurs when two test datasets have different rates of positive instances. This phenomenon can distort performance metrics, leading to incorrect model evaluations. Understanding the problem Prevalence shift fundamentally affects […]
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