Regression on ausprivauto (train)
993,285.74MSEInsurAutoML
Evaluation results
| Method | Links | ||
|---|---|---|---|
| InsurAutoMLG=8, T/s=9002026.03 | 993,285.74 | 952.3 | |
| InformedAutoMLG=1024, T/s=115,2002026.03 | 1,085,819.19 | 2,976.66 | |
| InformedAutoMLG=512, T/s=57,6002026.03 | 1,091,305.11 | 2,748.2 | |
| InformedAutoMLG=64, T/s=7,2002026.03 | 1,091,833.7 | 1,468.66 | |
| InformedAutoMLG=16, T/s=1,8002026.03 | 1,092,658.21 | 606.11 | |
| InformedAutoMLG=128, T/s=14,4002026.03 | 1,095,738.55 | 1,662.42 | |
| InformedAutoMLG=256, T/s=28,8002026.03 | 1,095,817.06 | 2,042.39 | |
| InformedAutoMLG=32, T/s=3,6002026.03 | 1,098,643.36 | 672.83 | |
| InsurAutoMLG=256, T/s=28,8002026.03 | 1,098,746.18 | 8,797.69 | |
| InsurAutoMLG=1024, T/s=115,2002026.03 | 1,098,817.89 | 23,347.84 | |
| InsurAutoMLG=512, T/s=57,6002026.03 | 1,098,873.21 | 11,533.74 | |
| InformedAutoMLG=8, T/s=9002026.03 | 1,098,973.61 | 294.69 | |
| InsurAutoMLG=128, T/s=14,4002026.03 | 1,099,296.76 | 4,274.43 | |
| InsurAutoMLG=64, T/s=7,2002026.03 | 1,099,573.2 | 2,350.45 | |
| InsurAutoMLG=32, T/s=3,6002026.03 | 1,099,855.88 | 2,181.53 | |
| InsurAutoMLG=16, T/s=1,8002026.03 | 1,101,871.13 | 1,290.22 |