This project aims to predict the weather in Australia, using several classification and ensemble methods.
The main goal of the project is to be able to accurately predict the weather in Australia. Using several classification and ensemble methods, such as random forest and bagging, this project aims to compare the prediction ability of these algorithms, limited to this dataset. A summary of the findings can be found in "WAUS2019_REPORT.pdf". The data is similar to the one found here: https://www.kaggle.com/jsphyg/weather-dataset-rattle-package
Project is created with:
- R version: 3.6.0
- tree library version: 1.0-40
- e1071 library version: 1.7-1
- adabag library version: 4.2
- randomForest library version: 4.6-14
- ROCR library version: 1.0-7
- pastecs library version: 1.3.21
- reshape2 library version: 1.4.3
- ggplot2 library version: 3.1.1
To run this project, open "WAUS2019.R" in an R IDE, such as RStudio, and run the code file.