The following is a training dataset that has ten one dimensional objects. Person id Home owner Refund
1 Yes TRUE
2 No TRUE
3 Yes FALSE
4 No FALSE
5 Yes FALSE
6 No TRUE
7 NO TRUE
8 NO FALSE
9 NO FALSE
10 YES FALSE
A. Create ten bootstrap samples from the above training dataset. (You should use R to extract bootstrap samples. Use person id to extract the samples)
B. Build a decision stump (One level decision tree that split the root using entropy) for each bootstrap sample to predict if each object/person gets refund based on the marital status homeowner attribute.
C. Apply the decision stumps on the original dataset to predict a class label (refund) for each objects in the original data set.
D. Determine the final prediction for each object using majority of votes.
E. Find the training error of your model. * You should not use R for section B, C,D, and E - Please show your works

Write a program to analyze student’s scores. each student’s id and 4 original test scores are saved in the attached file “student_id_scores. txt”. assume there are exactly 15 students in the class.• the program first opens the file, reads student’s ids and scores from the file and saves them in two arrays: o create a one-dimensional string array “ids” to store the student’s ids. o create a (parallel) two-dimensional int array “scores” to store student’s original test scores. this array has 5 columns, the original 4 test scores should be saved in the first 4 columns, and the last column will be used to save the average score after the calculation in next step.• the program then retrieves test scores from the array “scores”, calculates average score and determines the final letter grade based on the rules in the table below for each student. assume average score is integer value. average score = (score1 + score2 + score3 + score4) / 4average score letter grade90 ~ 100 a80 ~ 89 b70 ~ 79 c60 ~ 70 d0 ~ 60 f• the average score should be saved back in the 5th column of “scores” array.• create a new parallel one-dimensional char array “grades” to save each student’s letter grade.• program also needs to find the number of a, number of b, number of c, number of d and number of f grade. as well as the highest, lowest and average score of the class.• finally, program will display all of the original scores and all results on the computer screen using the format shown as the sample output below.• the program must contain at least the following functions: (1) a function “getscores” to read and store data into “ids” and “scores” arrays.(2) a function “analyzescores” to calculate student’s average score, determine letter grade, get the number of a, b, c, d and f, find the highest, lowest and average score of the class.(3) a function “displayresults” to display all of the results