Based on dataset gotten from Kaggle, including 23 columns and roughly 8000 rows. The goal was to classify if a mushrooms was poisonous or edible. Kaggle Dataset - https://www.kaggle.com/datasets/uciml/mushroom-classification
Final project for CS417 Introduction to Data Mining. Consists of a lot of conversions, and RF and ANN algorithms.
- Random Forest Algorithm for Feature Selection
- Artificial Neural Network for classification
Clone the repository to your local machine. Download the .csv file from Kaggle and place it in the same folder as the .R file. Run everything line by line until you reach the end, the code is made so its plug and use.
Feel free to use for whatever you wish. Give credit where credit is due.