Squared error (SE) is the difference between a predicted value and actual value squared, i.e., (p- a)?. In Excel, predicted values have been entered in A1:A20. The corresponding actual values have been entered in B1:B20. I want the SE shown in cells C1:C20 using a single multicell dynamic array formula in cell C1. Which of the following formulas for cell C1 accomplishes this? Select one: O a. =A1-B1^2, copied to cells C1 through C20 O b. = (A1:A20 – B1:B20)^2 O c. =(Sum(A1:A20)-Sum(B1:B20))^2 O d. = (A1 – B1:A20 - B20)^2
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- Damon Davis was creating the Drano Plumbing Company's spreadsheet. He determined that the net income would be $50,000. When he tallied the columns on the Balance Sheet, the totals were as follows: debit, $400,000; and credit, $300,000. What was the most likely reason for this discrepancy? If this was not the case, how should he proceed to determine the source of the error?A set of 11 data points is given in the attached Excel spreadsheet: PS5_prob1_FD_data.xlsx.Task: Perform numerical differentiation to approximate the second derivative of theprovided data. In doing so, address the following prompts:1. Write your own MATLAB code to perform an appropriate Finite Difference (FD)approximation for the second derivative at each point in the provided data. Note:You are welcome to use the “lowest order” approximation of the second derivative f ′′(x).a) “Read in” the data from the Excel spreadsheet using a built-in MATLAB com-mand, such as xlsread, readmatrix, or readtable – see docs for more info.b) Write your own MATLAB function to generally perform an FD approximationof the second derivative for an (arbitrary) set of n data points. In doing so, usea central difference formulation whenever possible.c) Call your own FD function and apply it to the given data. Report out/displaythe results.2. Reflect on your results by comparing to the exact solution.a) The…this is not graded !! link to MINST code: https://www.dropbox.com/s/i21pedejv0sknnq/MINST.pdf?dl=0 1) Explain the role of the following degrees of freedom (parameters): i) activation (function), ii) optimizer, iii) loss (function), iv) metric(s), v) epochs, vi) batch size. 2) Add a confusion matrix to the MNIST code example from the link provided. Set the epochs parameter to 5. Explain which entry of the matrix yields the number of ones (the number 1) that are falsely recognized as eights (the number 8). (If you use indices in your explanation, use the Python index notation, i.e., start at zero.) Run your code a few times. Is the confusion matrix always the same? Briefly explain.
- Polynomial regression is a form of nonlinear regression that describes nonlinear relationships in a dataset. There are several advantages to linear regression, mainly high accuracy. For your assignment, you will build a polynomial regression model in Python. The data is in a .CSV file that has the following information types. Position Level Salary Business Analyst 1 45000 Junior Consultant 2 50000 Senior Consultant 3 60000 Manager 4 80000 Country Manager 5 110000 Region Manager 6 150000 Partner 7 200000 Senior Partner 8 300000 C-level 9 500000 CEO 10 1000000 Using this data, our model should be able to predict the value of an employee candidate given their years of experience. The Python file must demonstrate the prediction of employee salary based on years of experience.explain the differences between C++, MATLAB, and VBA for Excel? 20-If you would like to make a function that returns the number given squared and would like to store it in a file named m which of the following function declarations would you use? a-function result = square(input) b-function square = result(input) c-function input = square(result) d-square = function(input) 13-If you would like to extract all of the data in the second column of a MATLAB matrix, which of the following operations would you use? (Assume the matrix is called x.) (a) Y=x(:,1) (b) Y=x(1,:) (c) Y=x(:,2) (d) Y=x(2,:) 12-When declaring matrix in MATLAB which of the following are valid? (Circle all that apply!) (a) X = [4, 2, 3; 1, 2, 5] (b)X = [4 2 3;125 1 2 5] X = [4 2 4; 1 2 5] X = [1:4]9. Packages outside of base Python never come with any Python installation. True False 10. ANOVA is an omnibus test True False 11. OLS can be used for regression and ANOVA True False 12.The following will compare differences in traffic across days mulicomp.pairwise_turkeyhsd(df.day, df.trafic) True False 13. Statsmodels generally requires ___ matrices statsmodels doesn't require matrices 4 2 3 14. Match the following Independent/predictor variables Dependent/response variables 1. Endogenous 2. Exogenous 15. Boxplots are useful in comparing mean differences across groups True False 16. Scatterplots are useful for comparing mean differences across groups True False
- Cookie Monster Inc. is a company that specializes in the development of software that tracks web browsing history of individuals. A sample of browser histories is provided in the files CookieMonsterBinary and CookieMonsterStacked that indicate which websites were visited by which customers. Using binary matrix format, the entry in row i and column j indicates whether web site j was visited by user i.Refer to the Appendix for instructions on how to perform association rules using the Analytic Solver Platform. Using a minimum support of 4% of the transactions (800 of the 20,000 total transactions) and a minimum confidence of 50% to generate a list of association rules. Review the top 14 rules. Use the files CookieMonsterBinary and CookieMonsterStacked to solve this problem using Analytic Solver. The data in this files is in binary matrix format meaning that each row indicates which iPad features and accessories a customer selected. In the Association Rules dialog box, enter 800 for…Need Help with Octave: function [w, t, flag] = margin_pcpt(X, y, max_iter, max_margin)[m, n] = size(X);flag = 0;w = zeros(n, 1);t = 1;while (t < max_iter) && (flag == 0)% Your tasks: % 1. searches for violation point p such that % (a) the label disagrees with p*w; OR % (b) the distance between p and seperation line is too close, i.e. % p*(w./norm(w, 2)) <= max_margin % 2. update the seperation plane vector w % 3. if there is no more violation point, set flag = 1. t = t + 1;end% as a good habit: normalise the seperation vector by it's normw = w./norm(w, 2);endAssume you have two sequences ? and ? of the same length ? > 1, where each sequence contains integer values. The goal of this problem is to find a subsequence ? which has the following properties:1. The subsequence ? is common to both ? and ?.2. The subsequence ? length is maximum among any other common subsequences.3. The subsequence ? cannot be empty.4. The values in subsequence S are consecutive values in X and Y. Brute-force algorithm:Generate all possible subsequences of X, and all subsequences of Y. Then, for each subsequence sx in X, and for each subsequence sy in Y, check if sx and sy are equal. If so, then compare its length with the maximum common subsequence found so far and keep the maximum length subsequence. Input FormatInput consists of two 1-dimenional arrays of size ?, where ? > 1 Output Format Output is:• ?: length of the subsequence S• ?: starting index in sequence X for the first element in S• ?: starting index in sequence Y for the first element in S There's…
- The following statement tells the decomposition of the people survived a.k.a column Survived as of 0 (not survived) or 1 (survived). Create a similar statement using groupby function to further breakdown by Sex. In other words, add additional sex dimension. The desired output should be similar to the following: Sex Survided female 0 81 1 233 male 0 468 1 109Name: Survived, dtype: int64 In [16]:In elementwise multiplication A.*B each value in one matrix is paired up with a buddy value in the other and they are multiplied together.In matrix multiplication A*B each row in matrix A is dot-producted with each column in matrix B.The value in the upper left corner of the matrix C is the same as which of the following?C = A*B; options: A(1,1) * B(1,1) dot(A(1,:),B(:,1)) A = [3 1; 5 2];B = [1 -1; 4 0];C = A*Bthe value in the upper left corner of the matrix C is which of the following? % Starting with this code:a = [1 2 3]b = [-1 0 1]% All of the following are identical, except which one? Question 4 options: dot(a,b) a*transpose(b) b*transpose(a) sum(a.*b) They are all identical Fill in the blank to calculate the dot product of amounts and costs.amounts = [2 1 2 5 1]costs = [3.5 1.25 4.25 1.55 3.15]____________ Question 5 options:…Consider an online auction system where the current highest bid for each item must be maintained. A person who wishes to bid on an item calls the bid(amount) function, which compares the amount being bid to the current highest bid. If the amount exceeds the current highest bid, the highest bid is set to the new amount. This is illustrated below:void bid(double amount) {if (amount > highestBid)highestBid = amount;} Describe how a race condition is possible in this situation and what might be done to prevent the race condition from occurring. Based on the solution you describe, rewrite the bid function that can solve the problem.