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Ship the rule-based baseline first: why 20 lines of if/else gate every good ML project
When people start an ML project, the instinct is often to train a model immediately. Open a notebook, split the data, fit a classifier, and compare metrics.
When people start an ML project, the instinct is often to train a model immediately. Open a notebook, split the data, fit a classifier, and compare metrics.