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Bias-Variance Tradeoff - What is the difference between bias and variance tradeoff in machine learning?
Answer
When an applied algorithm does not properly match the model, this is called bias in machine learning. Conversely, variance indicates how much different training data might impact the target function estimate. It boils down to the difference between the expected and actual numbers.
Other useful AI terms
- How do you fix bias-variance tradeoff?
- What is the difference between bias and variance tradeoff in machine learning?
- What is the bias and variance tradeoff?
- What is the bias-variance tradeoff and how does it impact model selection?
- What is bias and variance clearly explained?
- How bias-variance tradeoff affect the practices of machine learning?
AI suggestions
- How do you fix bias-variance tradeoff?
- What is the difference between bias and variance tradeoff in machine learning?
- What is the bias and variance tradeoff?
- What is the bias-variance tradeoff and how does it impact model selection?
- What is bias and variance clearly explained?
- How bias-variance tradeoff affect the practices of machine learning?