What is True about bias and variance?
A. High bias means that the model is underfitting.
B. High variance means that the model is overfitting
C. Bias and variance are inversely proportional to each other.
D. All of the above
Answer:D
What is True about bias and variance?
A. High bias means that the model is underfitting. B. High variance means that the model is overfitting C. Bias and variance are inversely proportional to each other. D. All of the above
Explanation: A model with high bias is unable to capture the underlying patterns in the data and consistently underestimates or overestimates the true values, which means that the model is underfitting. A model with high variance is overly sensitive to the noise in the data and may produce vastly different results for different samples of the same data. Therefore it is important to maintain the balance of both variance and bias. As they are inversely proportional to each other, this relationship between bias and variance is often referred to as the bias-variance trade-off.