What does the term "estimation bias" refer to?Group of answer choicesA measure of model flexibility that causes the estimated model to be sensitive to data nuancesA measure of model rigidity that prevents adaptation to nuances of the dataA measure of model rigidity that causes the estimated model to be sensitive to data nuances

What is bias?

Which of the following statements regarding model estimation bias and variance is false?Group of answer choicesEstimation bias typically is caused by small sample sizes.ML algorithms with more model complexity tend to have higher estimation variance.High estimation bias is when an ML algorithm can’t fit the true pattern, leading to underfitting.Model estimation variance can be reduced by adding more data or averaging different models.

Bias is a _____ preference in favor of or against a person, group of people, or thing.

Consider a dataset with actual values (Y) and predicted values (Y_pred) given below: Y = [5, 8, 12, 10, 15],Y_pred = [4, 7, 10, 11, 13].What is the bias of the model?

What is the purpose of the bias term in a neural network?Review LaterTo provide an additional regularization termTo offset any imbalance in the target variableTo improve the interpretability of the modelTo introduce flexibility in the decision boundary