Use current rule, primary metric, split rule, and escalation condition to make a better ML project decision.
Create a project artifact for Commit to a Baseline Before Complexity. A real machine-learning-basics project where vague targets, missing baselines, or algorithm-first pressure could create wasted modeling work. Baseline commitment: current/simple baseline = __. primary metric = __. split rule = __. minimum improvement worth adopting = __. complexity I will not add yet = __. In 2 days, check whether the baseline rule is in the experiment notes. Set a rules baseline for a churn-ranking pilot. Set a majority-class and logistic baseline for a classifier. Set a current forecasting heuristic before testing a complex model. For this project, I…
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