Problem Background: Address the problem at hand and the value of solving (such as what can a company learn from understanding their customers).. Check the cleanliness of the data and if needed, clean the data up and provide details from doing EDA.
Analysis: Based on the model outputs, analyze the data and the relationships revealed about the variables of interest. You should be building a logistic model. Explains the insights provided by the output. Main focus should be on which variables are significant and accuracy of the model. Talk to what the model predicts well/not so well to understand how trustworthy it is. Being able to tie those findings to the problem, will be key to success. Also use visualizations to support your analysis.
Interpretation and Recommendations: Interpret the results of your analysis and explain what the results mean for the data owner (limit to 2 at the max). Provide recommendations for actions to be taken based on your interpretation. Support those with the data (this should be based on previous discussion in the paper, the conclusion should not have new information).. Explain why and what explicit variables you suggest incorporating.
Your report must be a 5-7 pages Word document. Include an appendix of visualizations and code segments as needed. The report format should follow APA formatting (12pt, Times New Roman font).