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business analytics and machine learning
Question 2: Machine Learning a) Which of unsupervised or supervised machine learning is best suited to assessing causatio ...
business analytics and machine learning
Question 2: Machine Learning a) Which of unsupervised or supervised machine learning is best suited to assessing causation? Explain your choice. b) Your analytics team presents you with two sets of results that have improved the organization’s ability to predict customer defections. The first method uses deep learning and has a precision of 85%. The second method uses decision trees and has a precision of 70%. The previous approach had a precision of 40%. i) Make a case for using the results of the deep learning method. ii) Make a case for using the decision tree method. In your answers, consider aspects of customer lifetime value and managerial decision making. c) An analytics team used two different models to predict the likelihood of an outcome. The results from two different analysts are below: Don’s Analysis Actual Positive Negative Predicted Positive 220 100 Negative 30 650 Katie’s Analysis Actual Positive Negative Predicted Positive 170 10 Negative 80 740 i) Use the Confusion Matrix and Index Calculation tables below to calculate the model performance measures. Confusion Matrix Actual Positive Negative Predicted Positive TP FP Negative FN TN Formula Don Calculation Katie Calculation Accuracy (completed as an example) (TP + TN) / (TP + TN + FP + FN) (220 + 650) / (220 + 650 + 100 + 30) 0.87 (170 + 740) / (170 + 740 + 10 + 80) 0.91 Precision TP / (TP + FP) Error rate (FP + FN) / (TP + TN + FP + FN) Recall TP / (TP + FN) Specificity TN / (TN + FP) False positive rate FP / (TN + FP) F-score 2* ((Precision*Recall) / (Precision + Recall)) ii) Describe a medical or business context where you would prefer to use Don’s model. Why do you prefer Don’s model? iii) Describe a medical or business context where you would prefer to use Katie’s model. Why do you prefer Katie’s model? Ian is an intern with the team who claims he made a breakthrough with a model that outperforms both Don’s and Katie’s. The confusion matrix for his model is below: Ian’s Analysis Actual Positive Negative Predicted Positive 249 2 Negative 1 748 iv) What could possibly have gone wrong that would result in his results being invalid? How could this be solved? (15 marks) Question 3: Experiments Jennifer was given the results of an experiment that was designed to determine if a 10% reduction in price on an online shopping portal would lead to an increase in purchases. Control and treatment group were created. These groups are described below: Control Group Treatment Group Number of males 25 25 Number of females 25 25 Average age 47 years 37 years Average spend per visit in the month BEFORE the experiment $25.00 $25.00 Average spend per visit in the month AFTER the experiment $25.00 $29.00 a) Were the control and treatment groups effectively randomized? Why or why not? b) What are the two most likely explanations for the treatment groups showing a higher average spend than the control group? c) What type of analysis could be used to remove one of the possible explanations for the difference in average spend? d) Experiments are useful in helping determine if people have responded due to a stimulus or if they would have responded even without the stimulus. Design an experiment that could demonstrate what proportion of people have responded to a stimulus. These people could be customers or employees within a company. Examples could be an advertising campaign to customers, or a policy of flexible work hours for employees. Requirements: i) How would you pick the treatment and control groups? Fill in the table below to indicate the number of people and 3 important characteristics that describe each group Control Group Treatment Group People Characteristic 1: Characteristic 2: Characteristic 3: ii) Predict the results and state the managerial conclusion you could make from this result. Use the table below to indicate the change in behavior you expect to observe. Control Group Treatment Group Observed behavior before treatment: Observed behavior after treatment: iii) State the managerial action you could take from the results of your experiment. Briefly describe a useful follow-up experiment that would further deepen understanding of why people behaved in the manner observed.
MAT3172CB3 Rasmussen Optimal Strategy with a Nonzero Sum Game Worksheet
InstructionsDuring the city's mayoral race one of the candidates hires G&B Consulting. This candidate is a challenger from ...
MAT3172CB3 Rasmussen Optimal Strategy with a Nonzero Sum Game Worksheet
InstructionsDuring the city's mayoral race one of the candidates hires G&B Consulting. This candidate is a challenger from the same party as the incumbent mayor and is vying to be put on the ticket in the general election. She believes that the nomination will likely come down to what stance she takes on a proposed tax bill. The bill is for a tax increase that would subsidize education grants. Staying within traditional party lines would be advantageous to gaining support from the core constituency, but going against party lines on the issue would help sway swing voters and independents. The issue is bound to come up at an upcoming debate and she wants the help of G&B Consulting to determine an optimum strategy.**To complete the assignment, download the attached word document. You MUST include step-by-step breakdown of the problems, INCLUDING explanations of your steps, within the word document.
6 pages
Statistics Exercise 14 19
From figure 1 and the study narrative, the APLS UK formula has overestimated the weight 10-25.4%. This is evident from the ...
Statistics Exercise 14 19
From figure 1 and the study narrative, the APLS UK formula has overestimated the weight 10-25.4%. This is evident from the fact that they are using a ...
Discussion prompt 1 and 2
Discussion prompt 1 Now, it’s time to complete an important part of your project - decide which descriptive statistics t ...
Discussion prompt 1 and 2
Discussion prompt 1 Now, it’s time to complete an important part of your project - decide which descriptive statistics to use to describe how your participants answered each question on your survey. For this discussion, provide the following: What are your research questions? (Main hypotheses and goal of your study)Describe your dependent variable. What type of measures: Categorical or Continuous, what type of descriptive analysis?Describe your main independent variable as well as other variables (such as demographics): What type of measures: Categorical or Continuous, what type of descriptive analysis?How the questions are worded and answered for each chosen independent variable and dependent variable? The related research question is: how stress can have an effect on ones mental and physical well being. Discussion Prompt #2 Find a peer-reviewed journal article that interests you and includes the results of one of the statistical tests that we covered this week (one-sample test of proportions, independent samples t-test, or paired samples t-test). For this discussion, provide the following: A link to the website that contains the articleWhat are the research questions? (Main hypotheses and goal of your study)List and specify dependent and independent variables cited in the articleThe specific statistical test that was used for hypothesis testingThe findings, including relevant numbers that help people understand the magnitude of the findings (e.g., two proportions, the mean score for each group, the mean score at each time point)Your thoughts about the implications of the findings (what does it all mean?) Bottom of Form
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Most Popular Content
business analytics and machine learning
Question 2: Machine Learning a) Which of unsupervised or supervised machine learning is best suited to assessing causatio ...
business analytics and machine learning
Question 2: Machine Learning a) Which of unsupervised or supervised machine learning is best suited to assessing causation? Explain your choice. b) Your analytics team presents you with two sets of results that have improved the organization’s ability to predict customer defections. The first method uses deep learning and has a precision of 85%. The second method uses decision trees and has a precision of 70%. The previous approach had a precision of 40%. i) Make a case for using the results of the deep learning method. ii) Make a case for using the decision tree method. In your answers, consider aspects of customer lifetime value and managerial decision making. c) An analytics team used two different models to predict the likelihood of an outcome. The results from two different analysts are below: Don’s Analysis Actual Positive Negative Predicted Positive 220 100 Negative 30 650 Katie’s Analysis Actual Positive Negative Predicted Positive 170 10 Negative 80 740 i) Use the Confusion Matrix and Index Calculation tables below to calculate the model performance measures. Confusion Matrix Actual Positive Negative Predicted Positive TP FP Negative FN TN Formula Don Calculation Katie Calculation Accuracy (completed as an example) (TP + TN) / (TP + TN + FP + FN) (220 + 650) / (220 + 650 + 100 + 30) 0.87 (170 + 740) / (170 + 740 + 10 + 80) 0.91 Precision TP / (TP + FP) Error rate (FP + FN) / (TP + TN + FP + FN) Recall TP / (TP + FN) Specificity TN / (TN + FP) False positive rate FP / (TN + FP) F-score 2* ((Precision*Recall) / (Precision + Recall)) ii) Describe a medical or business context where you would prefer to use Don’s model. Why do you prefer Don’s model? iii) Describe a medical or business context where you would prefer to use Katie’s model. Why do you prefer Katie’s model? Ian is an intern with the team who claims he made a breakthrough with a model that outperforms both Don’s and Katie’s. The confusion matrix for his model is below: Ian’s Analysis Actual Positive Negative Predicted Positive 249 2 Negative 1 748 iv) What could possibly have gone wrong that would result in his results being invalid? How could this be solved? (15 marks) Question 3: Experiments Jennifer was given the results of an experiment that was designed to determine if a 10% reduction in price on an online shopping portal would lead to an increase in purchases. Control and treatment group were created. These groups are described below: Control Group Treatment Group Number of males 25 25 Number of females 25 25 Average age 47 years 37 years Average spend per visit in the month BEFORE the experiment $25.00 $25.00 Average spend per visit in the month AFTER the experiment $25.00 $29.00 a) Were the control and treatment groups effectively randomized? Why or why not? b) What are the two most likely explanations for the treatment groups showing a higher average spend than the control group? c) What type of analysis could be used to remove one of the possible explanations for the difference in average spend? d) Experiments are useful in helping determine if people have responded due to a stimulus or if they would have responded even without the stimulus. Design an experiment that could demonstrate what proportion of people have responded to a stimulus. These people could be customers or employees within a company. Examples could be an advertising campaign to customers, or a policy of flexible work hours for employees. Requirements: i) How would you pick the treatment and control groups? Fill in the table below to indicate the number of people and 3 important characteristics that describe each group Control Group Treatment Group People Characteristic 1: Characteristic 2: Characteristic 3: ii) Predict the results and state the managerial conclusion you could make from this result. Use the table below to indicate the change in behavior you expect to observe. Control Group Treatment Group Observed behavior before treatment: Observed behavior after treatment: iii) State the managerial action you could take from the results of your experiment. Briefly describe a useful follow-up experiment that would further deepen understanding of why people behaved in the manner observed.
MAT3172CB3 Rasmussen Optimal Strategy with a Nonzero Sum Game Worksheet
InstructionsDuring the city's mayoral race one of the candidates hires G&B Consulting. This candidate is a challenger from ...
MAT3172CB3 Rasmussen Optimal Strategy with a Nonzero Sum Game Worksheet
InstructionsDuring the city's mayoral race one of the candidates hires G&B Consulting. This candidate is a challenger from the same party as the incumbent mayor and is vying to be put on the ticket in the general election. She believes that the nomination will likely come down to what stance she takes on a proposed tax bill. The bill is for a tax increase that would subsidize education grants. Staying within traditional party lines would be advantageous to gaining support from the core constituency, but going against party lines on the issue would help sway swing voters and independents. The issue is bound to come up at an upcoming debate and she wants the help of G&B Consulting to determine an optimum strategy.**To complete the assignment, download the attached word document. You MUST include step-by-step breakdown of the problems, INCLUDING explanations of your steps, within the word document.
6 pages
Statistics Exercise 14 19
From figure 1 and the study narrative, the APLS UK formula has overestimated the weight 10-25.4%. This is evident from the ...
Statistics Exercise 14 19
From figure 1 and the study narrative, the APLS UK formula has overestimated the weight 10-25.4%. This is evident from the fact that they are using a ...
Discussion prompt 1 and 2
Discussion prompt 1 Now, it’s time to complete an important part of your project - decide which descriptive statistics t ...
Discussion prompt 1 and 2
Discussion prompt 1 Now, it’s time to complete an important part of your project - decide which descriptive statistics to use to describe how your participants answered each question on your survey. For this discussion, provide the following: What are your research questions? (Main hypotheses and goal of your study)Describe your dependent variable. What type of measures: Categorical or Continuous, what type of descriptive analysis?Describe your main independent variable as well as other variables (such as demographics): What type of measures: Categorical or Continuous, what type of descriptive analysis?How the questions are worded and answered for each chosen independent variable and dependent variable? The related research question is: how stress can have an effect on ones mental and physical well being. Discussion Prompt #2 Find a peer-reviewed journal article that interests you and includes the results of one of the statistical tests that we covered this week (one-sample test of proportions, independent samples t-test, or paired samples t-test). For this discussion, provide the following: A link to the website that contains the articleWhat are the research questions? (Main hypotheses and goal of your study)List and specify dependent and independent variables cited in the articleThe specific statistical test that was used for hypothesis testingThe findings, including relevant numbers that help people understand the magnitude of the findings (e.g., two proportions, the mean score for each group, the mean score at each time point)Your thoughts about the implications of the findings (what does it all mean?) Bottom of Form
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