Skip to content

Latest commit

 

History

History
25 lines (17 loc) · 676 Bytes

README.md

File metadata and controls

25 lines (17 loc) · 676 Bytes

Wildfires Classification

Project based on the application of distinct classification algorithms in order to determine the cause of wildfires.

Models

  • LDA, with a previous PCA to train with the principal components
  • Tree Based Models:
    • Random Forest
    • Boosting
    • XGBoosting
  • KNN

Results

Boosting has been the best performing model. The following images show the confusion matrix of the test set prediction, and the importance of the model's features for the best model.