Key Ideas
1A quick mental checklist. How many rows? Tens of thousands+ and a kernel SVM is already getting slow — lean trees or linear. How many features, and how sparse? High-dimensional and sparse (text...
2Takeaways. Dataset size and dimensionality are usually the first filter — they rule options in or out before accuracy even enters the conversation. Interpretability requirements ...