Preventing Outcome Starvation

Why degenerate feedback loops need to be urgently addressed when operating machine learning models

Predictive models are rarely static — operationalized models typically have an update cadence. At Mobilewalla, for instance, our models are updated every 30–180 days. At the end of each update period, the model is revised based on assessing the fidelity of its output since the last update. This is an important component of standard model maintenance practice, and is …

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