Which ML model would be best suited for time series activity log data to predict customer retention? : <p>I have customer activity data like the number of logins, time spent on the site, devices registered and policies changed. The data is structured on a day-day basis. i.e activity for a customer on a particular day. 
The ML model should be able to predict based on this activity whether the customer will be retained or not. 
Ideally, the model should output a bool value or the % of chances of retention.</p>

<p>Which ML models should I look into?
Any suggestions would be appreciated.</p>
