The Tuned Predictions blog
Blog
Practical guides to training prediction models on your own data, evaluating results, and reviewing new versions before putting their predictions to work.
Evaluation · 2 min read
What to check before you deploy a model.
Use held-out examples, inspect the mistakes that matter, and compare available baselines before deciding whether a trained prediction model is ready to use.
Read article Data preparation · 2 min readStart with a question you can evaluate.
Turn a broad goal into a prediction task with a clear outcome, usable examples, and inputs that reflect what you will actually know at prediction time.
Read article Model lifecycle · 2 min readRetraining is a new candidate, not an automatic upgrade.
Understand why fresh outcomes can justify another training run, what to compare between model versions, and why deployment remains a separate review step.
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