Machine Learning Magic: Week 12 College Football Predictions
Machine Learning Predictions for College Football: Week 12
The machine learning model is based on a random forest model type that learns from historical data and simulates thousands of possible scenarios for each game. The model then outputs the most likely winner for each game. The model has been tested on past seasons and has achieved an accuracy of about 70% in predicting the winner of each game. Last seven weeks we have gone 251-135 for predictions. The models have made over 21U in the past seven weeks.
TOLEDO
WESTERN-MICH
EASTERN-MICH
MIAMI-OH
OHIO
BOSTON-COLLEGE
UTSA
COLORADO
MICHIGAN
PENN-ST
ILLINOIS
OKLAHOMA
LOUISVILLE
TULANE
SMU
MISSISSIPPI-ST
PURDUE
INDIANA
COASTAL-CARO
NAVY
LIBERTY
JAMES-MADISON
HAWAII
BALL-ST
MIDDLE-TENN
LOUISIANA-TECH
CHARLOTTE
ARIZONA
WEST-VIRGINIA
DUKE
COLORADO-ST
UAB
TEXAS-ST
GEORGIA
NORTH-CAROLINA
NOTRE-DAME
SOUTHERN-CALIFORNIA
TROY
TCU
VIRGINIA-TECH
WESTERN-KY
AIR-FORCE
OHIO-ST
OREGON
NEW-MEXICO-ST
OKLAHOMA-ST
UCF
SOUTH-ALA
GA-SOUTHERN
CALIFORNIA
KANSAS-ST
UTAH-ST
OREGON-ST
MISSOURI
ARKANSAS
KENTUCKY
WISCONSIN
TEXAS
LSU
GEORGIA-TECH
FRESNO-ST
SAN-JOSE-ST
