Classification on Ten-dimensional normal data (d=10) (test)
100AccuracyMST-Class
Evaluation Results
| Method | Links | |
|---|---|---|
| MST-ClassClass size=n0 = n1 = 250, t=12026.06 | 100 | |
| MST-RClassClass size=n0 = n1 = 250, t=1, h=1.000 (0.000)2026.06 | 100 | |
| KNNClass size=n0 = n1 = 250, t=1, k=19.000 (0.000)2026.06 | 100 | |
| LDAClass size=n0 = n1 = 250, t=12026.06 | 100 | |
| QDAClass size=n0 = n1 = 250, t=12026.06 | 100 | |
| MST-ClassClass size=n0 = n1 = 500, t=12026.06 | 100 | |
| MST-RClassClass size=n0 = n1 = 500, t=1, h=1.000 (0.000)2026.06 | 100 | |
| KNNClass size=n0 = n1 = 500, t=1, k=27.000 (0.000)2026.06 | 100 | |
| LDAClass size=n0 = n1 = 500, t=12026.06 | 100 | |
| QDAClass size=n0 = n1 = 500, t=12026.06 | 100 | |
| MST-ClassClass size=n0 = n1 = 1000, t=12026.06 | 100 | |
| MST-RClassClass size=n0 = n1 = 1000, t=1, h=1.000 (0.000)2026.06 | 100 | |
| KNNClass size=n0 = n1 = 1000, t=1, k=38.000 (0.000)2026.06 | 100 | |
| LDAClass size=n0 = n1 = 1000, t=12026.06 | 100 | |
| QDAClass size=n0 = n1 = 1000, t=12026.06 | 100 | |
| QDAClass size=n0 = n1 = 250, t=02026.06 | 99.9 | |
| QDAClass size=n0 = n1 = 500, t=02026.06 | 99.9 | |
| QDAClass size=n0 = n1 = 1000, t=02026.06 | 99.9 | |
| KNNClass size=n0 = n1 = 1000, t=0, k=1.400 (0.804)2026.06 | 90.6 | |
| KNNClass size=n0 = n1 = 500, t=0, k=1.425 (0.847)2026.06 | 89.1 | |
| KNNClass size=n0 = n1 = 250, t=0, k=1.295 (0.707)2026.06 | 86.6 | |
| MST-ClassClass size=n0 = n1 = 1000, t=02026.06 | 73.4 | |
| MST-ClassClass size=n0 = n1 = 500, t=02026.06 | 71.9 | |
| MST-RClassClass size=n0 = n1 = 1000, t=0, h=9.900 (0.704)2026.06 | 71.4 | |
| MST-ClassClass size=n0 = n1 = 250, t=02026.06 | 70.8 | |
| MST-RClassClass size=n0 = n1 = 500, t=0, h=9.460 (1.594)2026.06 | 70.2 | |
| MST-RClassClass size=n0 = n1 = 250, t=0, h=8.980 (2.108)2026.06 | 69 | |
| LDAClass size=n0 = n1 = 1000, t=02026.06 | 51 | |
| LDAClass size=n0 = n1 = 500, t=02026.06 | 50 | |
| LDAClass size=n0 = n1 = 250, t=02026.06 | 49.9 |