This repository provides the code for implementing the predictive model built for the 2019 NAEP Data Mining Competition. https://sites.google.com/view/dataminingcompetition2019/home?authuser=0
Step 1: Obtain the dataset from - https://sites.google.com/view/dataminingcompetition2019/dataset?authuser=0 Copy all data files into the TrainingData folder
Step 2: Run DataScraping to generate all features
Step 3: Use ModelBuildingAndPrediction to train the model, generate predictions, and evaluate them against the hidden evaluation data in the EvaluationData folder
Disclaimer: This code was built over a series of months for academic research. There may be small bugs, there are probably inefficiencies, and there are most certainly some places where more comments are needed. I was simultaneously teaching myself data science and working on this project. Any and all feedback/constructive criticism is welcome...but please be kind.
