Predictor Variables - Final Model - Prospect Data - Analysis of Marketing - Computer Science Assessment Answer

Predictor Variables - Final Model - Prospect Data - Analysis of Marketing - Computer Science Assessment Answer

Assessment Task:

Tasks
To solve these problems, you should resolve to build another model without including the variable ‘duration’. This will help you understand the relationship of the other variables with the response. Also, set the business objective to achieving 80% of total responders at the minimum possible cost. The total number of responders is the total number of prospects who responded, from the available data of about 45,000 prospects.
Based on this information, calculate the X in the top X%, i.e., how many prospects should be called to meet the business objective. Further, create a presentation for the CMO highlighting the results and the methodology employed.

The checkpoints for the assignment are as follows:
1. Perform data preparation (no marks are awarded for this step)o You can use the code provided in the lectures to complete all the data preparation steps

2. Build a logistic regression model without using the variable; duration;

•  Select variables using the usual methods
•  Sort the data points in decreasing order of the probability of response
•  Find the optimal probability cut-off and report the relevant evaluation metrics

3. Create a data frame with the variables prospect ID, actual response predicted response, predicted the probability of response, duration of the call in seconds and cost of the call
-  While creating the data frame, list the cost of call for each prospect in a new column

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