1 min read
Ames ensemble wins and failures
Fold safe preprocessing matters more than the fifth tree model.
Writing
Six short posts about the parts that break. Each one starts from a real failure mode in the work, not from a definition. Missing numbers stay marked as pending.
Fold safe preprocessing matters more than the fifth tree model.
The query is fine. The data location and the dashboard region are not.
A clean plot can still hide a bad calibration. Make the scale explicit.
Elo is cheap, strong, and easy to leak against. Treat it as the baseline.
A fluent answer is not evidence. The retriever is the part you can measure.
A voice turn is a latency budget. Measure each stage before tuning the prompt.