1. College Football Playoff Composition Prediction using Machine Learning
Jerry Hao
12/07/2018

2. Executive summary
COLLEGE FOOTBALL PLAYOFF, 4 TEAMS SELECTED BY COMMITTEE
PREDICT WHAT TEAMS IN
Matlab neural network tooLbox
Multi-layer perceptron network

3. Data collected from espn, sports-reference
Organize discrete data by my own written program in java
Data includes records, total yards/G, passing yards, rushing yards on O/D

4. Plot to identify classification visually
Define top 6 class1
6th -25th  class 2
Rest  class 3

5. Matlab neural network toolbox
Train mlp with data from 2014, 2015, 2016
Test with data from 2017

6. Result TEAM OUTPUT ALABAMA 1.007 CLEMSON 0.941 NOTRE DAME 0.464
OHIO STATE
0.442
UCF
0.415
GEORGIA
0.405

7. dISCUSSION ACCURACY: ucf, OKLAHOMA BASED ON STATS
MORE INFORMATION DATA INCLUDED