# Binary classificaiton for weather data if its class 1 or class 0 alert

I am working on weather data and it has few features that are independent variables such as severity, severity_id, urgency_id etc ... Based on these values, I would like to classify alerts into class 0 or 1. For example, below is row item from data source

Alert | Severity | Sev_Id | Urg_Id | Event      | Sys_Rec(Target Variable)
--------------------------------------------------------------------------
dummy | Extreme  |   1    |    1   |   STORM    |      1
dummy | Minor    |   3    |    5   |   RIPTIDE  |      0
dummy | Extreme  |   1    |    1   |   HURRICANE|      1


For severity_id 1 it should be class 1 (Yes) and for others its class 0 (No).The objective is to build a general binary classifier using decision trees. So I started with DTClassifier, but later I realized it could also be done with logistic regression. I am confused which would be a better fit for this kind of data for classification.