In the top 5% of drivendata.org competition for predicting damage grade on buildings after an earthquake out of 800+ data scientists and data science teams.
In the top 5% of drivendata.org competition for predicting damage grade on buildings after an earthquake out of 800+ data scientists and data science teams..
Achieved .7309 micro-averaged F1 score, using bootstrap aggregating algorithms.