MC-FCP on P&R-NYC Dataset (test)
0.446Avg Choice Prob (Bottom 5%)Clustering Approach
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Clustering ApproachNumber of facilities (m)=13, Regularization parameter (xi)=1E42022.05 | 0.446 | 0.75 | |
| ERMNumber of facilities (m)=132022.05 | 0.42 | 0.758 | |
| Clustering ApproachNumber of facilities (m)=10, Regularization parameter (xi)=1E22022.05 | 0.417 | 0.751 | |
| Clustering ApproachNumber of facilities (m)=13, Regularization parameter (xi)=1E22022.05 | 0.417 | 0.751 | |
| Clustering ApproachNumber of facilities (m)=13, Regularization parameter (xi)=1E32022.05 | 0.417 | 0.757 | |
| Clustering ApproachNumber of facilities (m)=10, Regularization parameter (xi)=1E32022.05 | 0.416 | 0.747 | |
| Clustering ApproachNumber of facilities (m)=10, Regularization parameter (xi)=1E42022.05 | 0.416 | 0.747 | |
| ERMNumber of facilities (m)=102022.05 | 0.15 | 0.719 | |
| Clustering ApproachNumber of facilities (m)=7, Regularization parameter (xi)=1E32022.05 | 0.093 | 0.697 | |
| Clustering ApproachNumber of facilities (m)=7, Regularization parameter (xi)=1E42022.05 | 0.093 | 0.697 | |
| ERMNumber of facilities (m)=72022.05 | 0.069 | 0.692 | |
| Clustering ApproachNumber of facilities (m)=7, Regularization parameter (xi)=1E22022.05 | 0.069 | 0.692 |