This competition is about detection of extreme weather events from atmospherical data. The goal is to automatically classify a set of climate variables corresponding to a time point and location, latitude and longitude, into one of three classes:
-Standard background conditions
-Tropical cyclone
-Atmospheric river
Placement: 24/99
A Logistic Regression Classifier was implemented for this competition. Random Forests Classifier performed the best on this dataset.