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Models, baselines, evaluation, and not fooling yourself.
For projects where the method is the model. Expect hard questions about your baseline, your train/test split, and whether your accuracy number means anything.
Start the first discussion here — it makes the channel useful for everyone who arrives after you.
State your dataset size and how you split it. A result without a baseline is not a result.