From the course: Applied Machine Learning: Ensemble Learning (2022)
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Bias-Variance trade-off - Python Tutorial
From the course: Applied Machine Learning: Ensemble Learning (2022)
Bias-Variance trade-off
- [Instructor] You can't discuss the power of ensemble learners without discussing the bias variance trade off. So let's take a step back and dig into what that actually means. We're going to use a dartboard analogy because it offers a nice visualization of what bias and variance represent. We're going to start at the top left here and we'll rotate around clockwise. So in the top left what we see is low bias and low variance. That means that you're centered on the bullseye, and you are consistently hitting that bullseye. This is what it would look like for a pro dart player. Rotating to the top right, this is low bias but high variance. That means you're centered around the bullseye, you're not consistently actually hitting it. So breaking this apart, low bias dictates that you're centered around the bullseye, high variance dictates that you're spread out and not consistently hitting whatever you're aiming for, the…
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