Interview Q&A / Machine Learning
Machine Learning interview questions
Supervised vs unsupervised learning, overfitting, metrics and the classic models, explained simply.
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- How do you choose k in KNN, and what happens when k is very small or very large?
Small k (like 1) follows noise and overfits; very large k smooths too much and underfits, at the extreme predicting the majority class for everything. Choose k by cross-validation, and use an odd k for two-class problems to avoid ties.
BeginnerQuick answer1 min read