Machine Learning Magic: Week 8 College Football Predictions
Machine Learning Predictions for College Football: Week 8
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 75% in predicting the winner of each game. However, this does not mean that the model is infallible or guarantees a profit. There are always uncertainties and surprises in sports, and you should always do your own research and use your own judgment before placing any bets. Last three weeks we have gone 103-51 for predictions.
LIBERTY
SOUTH-ALA
JACKSONVILLE-ST
FIU
NEW-MEXICO-ST
MARSHALL
RICE
SMU
PENN-ST
UCF
AIR-FORCE
OHIO
RUTGERS
ARKANSAS
CINCINNATI
MEMPHIS
GEORGIA-TECH
GA-SOUTHERN
EAST-CAROLINA
BOWLING-GREEN
TENNESSEE
OREGON
MINNESOTA
TULANE
MISSOURI
NORTHWESTERN
WAKE-FOREST
NORTHERN-ILL
WEST-VIRGINIA
WISCONSIN
SOUTH-FLA
BUFFALO
CENTRAL-MICH
TEXAS
TOLEDO
UTSA
HAWAII
NORTH-CAROLINA
OLE-MISS
UNLV
COASTAL-CARO
TCU
TEXAS-TECH
APPALACHIAN-ST
UTAH-ST
FLORIDA-ST
MICHIGAN
LSU
SOUTHERN-CALIFORNIA
CLEMSON
GEORGIA-ST
SAN-DIEGO-ST
WASHINGTON
UCLA
