This project is part of my semester project where I am performing Hyperparameter Optimization for a ranges of training sizes. I have used 3 datasets from OpenML and implementing 3 machine learning algorithms.

1. Install Python version 3.8
2. The libraries used in this project can be found in src/req.txt. To install this using pip: pip install -r src/req.txt

There are two scripts in projects

1. src/hpo.py - This scripts performs hyperparameter optimization on ranges of scripts on 3 datasets from OpenML on 3 machine learning algorithms. You can change the ranges within script if you want. But I have already ran all this in for ranges of sizes and stored the results in src/info.json.
2. src/analysis.py - This script implement ML algorithms using the parameters generated from hyperparameter optimization which is stored in src/info.json and stores the accuracies in src/hpo_data.csv. The scripts then plots and stores the graps from the data. To run the script: python analysis.py.