Identify actionable recommendations
John has built a prototype machine learning model predicting the number of hours the customer will play on the online gaming website next month. He is presenting insights and recommendations. The top 5 most important variables are listed in the barplot, each with a coefficient which shows how much each variable affects the number of active hours for an average customer next month.
How would you interpret the results and what kind of initiatives would you start? Select one that DOES NOT apply.
This exercise is part of the course
Machine Learning for Business
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