01 · Understand the idea
In simple words
Classification predicts a category. A message might be labelled spam or ordinary; a support request might be labelled billing or technical. Decide what each category means before collecting labels. A model cannot resolve inconsistent label rules just by seeing more examples.
Two useful terms
Class: one possible category. Classifier: a model that predicts a category.
Build your understanding
Classification assigns an input to a category. Start with a simple baseline and choose metrics that reflect your error costs. Accuracy alone can hide poor performance when one class dominates. Always inspect which cases the classifier gets wrong.
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