'NIMS Campire Team' hosted by Samsung Electronics
Samsung AI Challenge'
Participants in the event were
evaluated for their understanding of the data, accuracy of the model,
creativity and scalability of the model, after creating a 'damaged traffic
accident data recovery model' from existing data analysis.
The NIMS Campfire team presented a model of traffic accident data prediction using the Gradient Tree Boosting algorithm and won third place in the Challenge category.
※ Gradient Tree Boosting: To create a precise final
prediction model by continuously adding a simple prediction model using a tree