ztqsteve/music-box-project

Predict users churn for a music box app.

Music-Box-Project

Predict users churn for a music box app.

Dataset

User activity records from 03/01/2017 to 05/12/2017 (many records miss for March 2017)

• play dataset
• download dataset
• search dataset

Define churn users

0 acticities from 4/22 to 5/12 if users is active(play more than 3 times) from 3/30 to 4/21.

Downsampling

The whole dataset is too large to handle in personal laptop. So I downsample the data for both active users and churn users.

Feature creation

• Count by time windows of 3 activities types in different size
• Ratio of the count of different time window

Train Model

• Logistic regression
• Random Forest
• Gradient Boosted Tree