Forest-Fire-Area
OpenML dataset with id 43440
No author found.
Full work available at URL: https://api.openml.org/data/v1/download/22102265/Forest-Fire-Area.arff
Upload date: 23 March 2022
Dataset Characteristics
Number of classes: 0
Number of features: 13 (numeric: 11, symbolic: 0 and in total binary: 0 )
Number of instances: 517
Number of instances with missing values: 0
Number of missing values: 0
Content
The dataset contains 517 fires from the Montesinho natural park in Portugal. For each incident weekday, month, coordinates, and the burnt area are recorded, as well as several meteorological data such as rain, temperature, humidity, and wind. The workflow reads the data and trains a regression model based on the spatial, temporal, and weather variables.
Acknowledgements
All credit for this dataset goes to P. Cortez and A. Morais.
P. Cortez and A. Morais. A Data Mining Approach to Predict Forest Fires using Meteorological Data. In J. Neves, M. F. Santos and J. Machado Eds., New Trends in Artificial Intelligence, Proceedings of the 13th EPIA 2007 - Portuguese Conference on Artificial Intelligence, December, Guimaraes, Portugal, pp. 512-523, 2007. APPIA, ISBN-13 978-989-95618-0-9.
Burning Area Prediction
This page was built for dataset: Forest-Fire-Area
