Assingment
Regression
| Algorithm | Features | R2 | MAE | RMSE | |
| Linear Regression | PlayType, IsRush, SeriesFirstDown, IsIncomplete, Formation, IsPass, ToGo, Down, YardLine, YardLineFixed, IsSack, IsTouchdown, IsNoPlay, IsPenalty, IsPenaltyAccepted, PenaltyYards | ||||
| Bayesian | |||||
| Boosted Decision Trees | |||||
| Decision Forest | |||||
| Neural Network |
Classification
| Algorithm | Features | Accuracy | False Negatives | False Positives | |
| Two-Class Averaged Perceptron | All | ||||
| Two-Class Bayes Point Machine | |||||
| Two-Class Boosted Decision Tree | |||||
| Two-Class Decision Forest | |||||
| Two-Class Decision Jungle | |||||
| Two-Class Logistic Regression | |||||
| Two-Class Neural Network | |||||
| Two-Class Support Vector Machine |