True or False: In a supervised learning model, Bias refers to the error that is introduced from the assumptions of the data analyst.Question 5Select one:TrueFalse

Which statement is not correct about data bias?A.Occurs when data or information is limited in some wayB.Painting an inaccurate representation of the populationC.Use complex or opaque algorithmsD.Does not convey the full storyE.Certain elements of a dataset are overweighted or overrepresented

Provide a simple example where bias might skew results in a machine learning model.

What is bias?

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 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