Introduction
This is a simple machine learning project to predict the success of an economic development grant based on data from the Iowa Economic Development Authority (IEDA) and the Connecticut Department of Economic Community Development (DECD).
Model:
- Random Forest
- Accuracy: 85%
- Recall: 81%
Download
Github: https://github.com/dustinmacdonald/predict_econ_success
Installation
You will need to download the following six files:
- Economic Development ML Model – Final.ipynb
- edp_cancelled.csv
- edp_closed.csv
- edp_under_contract.csv
- ct_da.csv
Store them in the same folder and run them with Jupyter Notebook. You may also wish to download Final Decision Tree.pdf, which is the completed decision tree. The model achieves an accuracy of 85% on the test set using a RandomForest approach.
Usage
- Simply download the indicated files and run them in Jupyter Notebook.
