- Direct mailings to a company’s potential customers – “junk mail” to many – can be a very effective way for them to market a product or a service. However, as we all know, much of this junk mail is really of no interest to the people that receive it. Most of it ends up thrown away, not only wasting the money that the company spent on it, but also filling up landfill waste sites or needing to be recycled.
- If the company had a better understanding of who their potential customers were, they would know more accurately who to send it to, so some of this waste and expense could be reduced.
- Target Variable is V86
We want you to predict whether a customer is interested in a caravan insurance policy from other
data about the customer. Information about customers consists of 86 variables and includes
product usage data and socio-demographic data derived from zip area codes. The data was
supplied based on a real world business problem.
The training set contains over 5000 descriptions of customers, including the information of whether or not they have a caravan insurance policy. A test set contains 4000 customers of whom target variable is not shared with you.
In order to get a passing grade in this project you need to get Fbeta score greater than 0.26 [ beta
=2 ] for your test data predictions.
The training set contains over 5000 descriptions of customers, including the information of whether or not they have a caravan insurance policy. A test set contains 4000 customers of whom target variable is not shared with you.