Sort the artifact into the lifecycle phase
Classify predictive analytics artifacts by CRISP-DM phase to keep project work complete.
Place each predictive analytics artifact in its main CRISP-DM phase. Business Understanding Data Understanding Data Preparation Modeling Evaluation Deployment Prediction brief naming owner, action, horizon, and error cost Business success criterion for top-200 weekly outreach lift Label contract with event, window, source table, and exclusions Missingness and outlier profile for candidate features Time-safe feature pipeline ending before score timestamp Training-only scaler and encoder fitted after the split Gradient boosting model compared with logistic baseline Hyperparameter search log with selected configuration Precision-recall table at three action thresholds
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