Sort Evidence Before Modeling
Classify data fields by evidence quality before using them in analysis.
Place each potential model field into the evidence-quality bucket it best fits. Signal Noise Proxy Bias risk Weekly active users for a product-retention model Account logo color imported from the CRM theme field Implementation duration used as an indirect measure of customer complexity Number of CSM touches when high-value accounts historically received more attention Unresolved critical tickets in the last 14 days Customer headquarters time zone for a churn prediction without support-hours analysis Free-text notes copied from inconsistent sales handoffs A duplicate copy of the same renewal date under another column name
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