Asked about Learning a mapping from examples
You have a tabular dataset and a classification task. What do you try first?
An answer that works
A trivial baseline, then logistic regression for an interpretable reference, then gradient boosted trees, which are the strongest general option on tabular data. A neural network only with evidence that it beats boosting on this dataset.
Reading an answer is not being able to give one. The section that teaches this is Learning a mapping from examples, 6 hours of Supervised learning.
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