Video: Bias-Variance trade-offΒΆ
Note: Subtitles are available (click CC button at the bottom of the video)
Note
The material in this video is based on Chapter 2.2 of the ISLR book (cited in the teaching materials for this course). I encourage you to read Chapter 2 to learn more details about the bias-variance trade-off.
After watching the video lecture, please, try answering the following questions:
When a more flexible model will be preferred over a less flexible model?
the shape of Conditional Expectation Function in the population is linear in parameters
the shape of Conditional Expectation Function in the population is highly non-linear in parameters
the variance of noise around the Conditional Expectation Function in the population is high
the variance of noise is low
the number of observations per number of parameters (\(n/p\)) is high
(\(n/p\)) is low