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ml-recall

#interpolation

6 questions from Linear Models & Regularization, Nearest Neighbors & Kernel Methods, Learning Theory, NLP Fundamentals, Language Modeling, Generative Adversarial Networks

Timed test

6 questions · 6 min · score and explanations at the end

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Question 1: Single choice

hardAI-checkedLinear Models & Regularization

Three distinct inputs x1,x2,x3x_1, x_2, x_3 are fixed; their responses are drawn independently as yi=f∗(xi)+noisey_i = f^*(x_i) + \text{noise}, with noise variance σ2\sigma^2 at x1x_1. You fit an unregularized polynomial regression flexible enough to reach zero training error and use f^(x1)\hat f(x_1) to estimate f∗(x1)f^*(x_1). Over repeated draws of the responses, what are the bias and variance of this estimator?

Choose one option