Assortment Optimization on Assortment Optimization Dataset (test)
100Average RatioCONIC
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| CONICK_train=10, K_test=10, M_train=10, M_test=10, N_train=202025.07 | 100 | 142.01 | |
| CONICK_train=10, K_test=10, M_train=10, M_test=10, N_train=202025.07 | 100 | 752.52 | |
| GIPK_train=10, K_test=10, M_train=10, M_test=10, N_train=202025.07 | 96.1 | 2.8 | |
| GIPK_train=10, K_test=10, M_train=10, M_test=10, N_train=202025.07 | 96 | 7.07 | |
| GILSK_train=10, K_test=10, M_train=10, M_test=10, N_train=202025.07 | 95.1 | 11.37 | |
| GILSK_train=10, K_test=10, M_train=10, M_test=10, N_train=202025.07 | 93.9 | 114.5 | |
| ROLSK_train=10, K_test=10, M_train=10, M_test=10, N_train=202025.07 | 92.9 | 47 | |
| ROLSK_train=10, K_test=10, M_train=10, M_test=10, N_train=202025.07 | 91.1 | 366.85 | |
| GIK_train=10, K_test=10, M_train=10, M_test=10, N_train=202025.07 | 87.8 | 0.02 | |
| GIK_train=10, K_test=10, M_train=10, M_test=10, N_train=202025.07 | 86.4 | 0.15 | |
| LSK_train=10, K_test=10, M_train=10, M_test=10, N_train=202025.07 | 83.2 | 5.71 | |
| LSK_train=10, K_test=10, M_train=10, M_test=10, N_train=202025.07 | 78.7 | 36.23 | |
| RPK_train=10, K_test=10, M_train=10, M_test=10, N_train=202025.07 | 65.3 | 4.62 | |
| RPK_train=10, K_test=10, M_train=10, M_test=10, N_train=202025.07 | 62.3 | 2.37 | |
| ROK_train=10, K_test=10, M_train=10, M_test=10, N_train=202025.07 | 12.3 | 0.04 | |
| ROK_train=10, K_test=10, M_train=10, M_test=10, N_train=202025.07 | 11.6 | 0.2 |