Topic
Baseline Model
2 episodes
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Overview: Baseline Model
We finally slow down on baseline model: the boring comparison point that tells us whether a new machine learning idea actually improved anything. We walk through why the baseline has to match the question, how weak baselines fool you, and why production teams care about the system they are replacing more than a leaderboard number.
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Why Powerful ML Is Deceptively Easy — Part 2 | Towards Data Science
Laura and Harper dissect the article’s claim that spatial leakage makes ML seem more powerful than it is, walk through the London house‑price experiment, critique the technical arguments, and agree on who really needs to watch out for these traps.