Basketball Prediction

Goal: construct a naive bayes classifier to predict the results of basketball games

Result: Predict with 67.4% accuracy the result of a basketball game based on data from 10,000 previous basketball games

Data

• train_data.csv - 10,000 rows of training data
• validation_data.csv - 1,000 rows of data to test with

Usage

./NaiveBayesClassifier.sh train_data.csv test_data.csv ./DecisionTree.sh train_data.csv test_data.csv

Versions

• Python3
• numpy
• pandas