This is Machine Learning Problem

B) You are given a collection of 5 training data points of one feature (x) and their class label (y) as follows re12.6) are labeled as y=0,214,5,7) are labeled as y = 1. Answer each of the following subquestions regarding the training outcome Express the results in terms of the error count, ie, the total number of data parats being incorrectly classified What is the best training error count that you can achieve on these data from a linear classifier, i.e. f(3) =sgn(az + b). the original input features? My answer for the error count is (m) What is the best training error count that you can achieve from a classifier with quadratic features, ie, f(1) =sgn(Qr + b + c)? My answer for the error count is (mm) What is the best training error count that you can achieve from an order polynomial model, eg, S(I) =sgol.az)? My answer for the error count is 3 Chara Enter the correct answer below. Perraumber for ma text box 1 Please enter aber for these box 2 Please enter a number for the box B) You are given a collection of 5 training data points of one feature (x) and their class label (y) as follows re12.6) are labeled as y=0,214,5,7) are labeled as y = 1. Answer each of the following subquestions regarding the training outcome Express the results in terms of the error count, ie, the total number of data parats being incorrectly classified What is the best training error count that you can achieve on these data from a linear classifier, i.e. f(3) =sgn(az + b). the original input features? My answer for the error count is (m) What is the best training error count that you can achieve from a classifier with quadratic features, ie, f(1) =sgn(Qr + b + c)? My answer for the error count is (mm) What is the best training error count that you can achieve from an order polynomial model, eg, S(I) =sgol.az)? My answer for the error count is 3 Chara Enter the correct answer below. Perraumber for ma text box 1 Please enter aber for these box 2 Please enter a number for the box