1 Provide a sketch of typical bias, variance, training error,test error curves, on a single plot, as we go from less flexiblestatistical learning methods towards more flexible approaches.The x-axis should represent the amount of flexibilityin the method, and the y-axis should represent thevalues for each curve. There should four curves. Makesure to label each one.

 

2 What does overfitting mean? Please also use graph toexplain.

 

3 Please write down both the model accuracy evaluationmethod for regression setting and classification settingHint: testing MSE for regression, test error rate for classification

 

MCIS 6273-Data MiningHW3: Statistical Learning & Linear RegressionInstructor: Xin YangDue date: Sep 26th, 2016First Name:Last Name:Student ID:1 Provide a sketch of typical bias, variance, training error,test error curves, on a single plot, as we go from less flexi-ble statistical learning methods towards more flexible ap-proaches. The x-axis should represent the amount of flex-ibility in the method, and the y-axis should represent thevalues for each curve. There should four curves. Makesure to label each one.2 What does overfitting mean? Please also use graph toexplain.3 Please write down both the model accuracy evaluationmethod for regression setting and classification settingHint: testing MSE for regression, test error rate for classification.1

Attachments:

• 1495158489-HW3.pdf