Molly e-mailed her clients offering a free 30-minute massage for referrals. In the following validation set of 100, Class 1 reflects theclients predicted to provide referrals and Class O reflects the clients predicted to not provide referrals. Based on the confusionmatrix, what was the True Positive (TP) of current clients who provided referrals for a free massage?Actual Class Predicted Class 1 Predicted Class 0.Class 1Class 0Multiple Choice2863199963

A confusion matrix is a matrix which shows that depicts the performnace of a machine learning model…

Answered: Molly e-mailed her clients offering a…

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter2: Introduction To Spreadsheet Modeling

Section: Chapter Questions

Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...

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Similar questions

Calculate the Mean Squared Error for the following data: Actual 90 87 96 102 Forecast 89.3 89.2 93.3 90.7 (Keep two decimal places in your answer)
1. Plot out the customer lifetime vaule for a Tesla -Take a average customer and show how they will spend money over thier lifetime as a customer. Include the price of each iteam that will be purchased.
Sales of Volkswagen’s popular Beetle have grown steadilyat auto dealerships in Nevada during the past 5 years (seetable below). The sales manager had predicted before thenew model was introduced that first year sales would be410 VWs. Using exponential smoothing with a weight ofa 5 .30, develop forecasts for years 2 through 6.
7
What is the connection between using a tracking signal and statistical control limits for forecast control?
A marketing analyst wants to examine the relationship between sales (in $1,000s) and advertising (in $100s) for firms in the food and beverage Industry and collects monthly data for 25 firms. He estimates the model Sales-o Advertising. The following ANOVA table shows a portion of the regression results. Regression Residual df 1 23 55 78.53 504.02 MS 78.53 21.91 T 3.58
Calculate the Mean Squared Error for the following data: Actual 90 85 96 99 Forecast 91.3 87.6 93.2 98.6 (Keep two decimal places in your answer)
An auditor used regression analysis to evaluate the relationship between utility costs andmachine hours. The following information was developed using a computer softwareprogram: Intercept 2,050 Standard error of estimate 200Regression 0.825 Number of observations 36Correlation coefficient 0.800 How much is the utility cost if the company’s 10 machines will use 2,400 hours next month?a. ₱3,830b. ₱3,970c. ₱4,030d. ₱4,050
Student Performance Results Pre- Post- Pre- Post- Student ID LG1 (%) LG1 (%) LG2 (%) LG2 (%) Pre- Assessment Assessment Assessment Assessment Assessment Assessment LG3 (%) 1 70 85 75 80 90 80 098 Post- LG3 (%) 85 2 75 90 90 80 85 75 90 96 3 80 85 75 1 90 70 85 4 75 90 70 85 75 00 90 5 70 85 75 90 90 6 75 50 00 80 95 85 90 80 85 75 90 7 80 85 75 90 90 70 85 8 75 90 70 85 75 90 9 70 85 75 90 80 85 10 ° 75 55 90 80 85 75 90 11 80 85 75 90 00 12 75 90 20 70 70 85 85 75 90 13 70 85 75 90 80 85 55 14 75 90 80 85 75 90 15 80 85 75 90 70 85 16 75 90 70 85 75 90 17 70 85 75 90 80 85
376.98 says its wrong
The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks: Week Of Pints Used August 31 September 7 September 14 September 21 September 28 345 372 408 383 368 October 5 378 a) The forecasted demand for the week of October 12 using a 3-week moving average = 376.33 pints (round your response to two decimal places). b) Using a 3-week weighted moving average, with weights of 0.15, 0.25, and 0.60, using 0.60 for the most recent week, the forecasted demand for the week of October 12 = 376.25 pints (round your response to two decimal places and remember to use the weights in propriate order– the largest weight applies to most recent period and smallest weight applies to oldest period.) c) If the forecasted demand for the week of August 31 is 345 and a = 0.25, using exponential smoothing, develop the forecast for each of the weeks with the known demand and the forecast for the week of October 12 (round your responses to two decimal places).…
The number of daily calls for the repair of Speedy copy machines has been recorded as follows: a. Prepare three-period moving-average forecasts for the data. What is the error on each day? b. Prepare three-period weighted-moving-average fore-casts using weights of w1= .5, w2= .3, w3= .2. c. Which of the two forecasts is better?

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