Final project of Categorical Data Analysis 2020 fall.
Forecast the success rate of the telemarketing calls, given information of target customers and the campaign records.
Customer profiling for a effective marketing strategy.
- Personal Information:
- Marital, Y Vs Job/Education/Housing:
- Age vs job/education
- Transform education type into education year:
- year features and monthly contact features from labelled
Delete/modify bad feature
- weekday of last contact:
- previous and poutcome are similar, so just keep one.
Missing value and ouliters handling:
Pmm linear prediction,
mode/Average, and combined them.
We used Logistics, SVM and decision tree.