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

Determine which of the four levels of measurement (nominal, ordinal, interval, ratio) is most appropriate for the data below. internet speed levels of "fast comma " "medium comma " and "slow" choose the correct answer below. a. the ordinal level of measurement is most appropriate because the data can be ordered comma but differences left parenthesis obtained by subtraction right parenthesis cannot be found or are meaningless. nothing nothing nothing nothing nothing b. the interval level of measurement is most appropriate because the data can be ordered comma differences left parenthesis obtained by subtraction right parenthesis can be found and are meaningful comma and there is no natural starting point. c. the nominal level of measurement is most appropriate because the data cannot be ordered. nothing d. the ratio level of measurement is most appropriate because the data can be ordered comma differences left parenthesis obtained by subtraction right parenthesis can be found and are meaningful comma and there is a natural starting point.

Sam is a data analyst at an advertising firm. he often uses a spreadsheet that contains media ratings details. he would like to filter the spreadsheet data based on different filter criteria. which operators can he use to specify the combination of filter criteria? sam can use the ( blank ) operators to specify a combination of filter criteria.

For this assignment you have to write a c program that will take an infix expression as input and display the postfix expression of the input. after converting to the postfix expression, the program should evaluate the expression from the postfix and display the result. what should you submit? write all the code in a single file and upload the .c file. compliance with rules: ucf golden rules apply towards this assignment and submission. assignment rules mentioned in syllabus, are also applied in this submission. the ta and instructor can call any students for explaining any part of the code in order to better assess your authorship and for further clarification if needed. problem: we as humans write math expression in infix notation, e.g. 5 + 2 (the operators are written in-between the operands). in computer's language, however, it is preferred to have the operators on the right side of the operands, ie. 5 2 +. for more complex expressions that include parenthesis and multiple operators, a compiler has to convert the expression into postfix first and then evaluate the resulting postfix write a program that takes an "infix" expression as input, uses stacks to convert it into postfix expression, and finally evaluates it. it must support the following operations: + - / * ^ % ( example infix expression: (7-3)/(2+2) postfix expression: 7 3 2 2 result: rubric: 1) if code does not compile in eustis server: 0. 2) checking the balance of the parenthesis: 2 points 3) incorrect postfix expression per test case: -2 points 4) correct postfix but incorrect evaluation per test case: -i points 5) handling single digit inputs: maximum 11 points 6) handling two-digit inputs: 100 percent (if pass all test cases)