めげずに50時間学習に挑みましたが今回も撃沈?
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| Experiment Results |
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| Summary |
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|ML Task: regression |
|Dataset: E:\My Project\MBJuniFullCK\RaceJuniFullCK.csv |
|Label : Juni |
|Total experiment time : 180000.0000 Secs |
|Total number of models explored: 849 |
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| Top 5 models explored |
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| Trainer RMSE Duration |
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|107 LightGbmRegression 2.9438 108.7280 |
|480 LightGbmRegression 2.9446 140.0260 |
|472 LightGbmRegression 2.9446 203.7740 |
|665 LightGbmRegression 2.9453 86.3900 |
|471 LightGbmRegression 2.9454 141.1520 |
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これ見る限50時間の学習で849トライアルして、最適RMSEは107回目で出てます。ってこれまた700回程度が無駄orz
追記 2024.9.17 20:47
検証してみると
| 647R | 1点 | 芝(360R) | ダート(264R) | 障害(23R) | 8頭以下(59R) | 9～12頭(191R) | 13頭以上(397R) | 多点 |
| 単勝 | 22.41% (73.82%) |
21.94% (79.50%) |
21.59% (64.58%) |
39.13% (90.87%) |
32.20% (70.17%) |
27.75% (83.77%) |
18.39% (69.57%) |
51.93% (73.10%) |
| 複勝 | 52.09% (81.70%) |
48.89% (75.86%) |
55.68% (89.62%) |
60.87% (82.17%) |
59.32% (73.56%) |
59.16% (86.02%) |
47.61% (80.83%) |
86.86% (82.32%) |
| 枠連 | 12.15% (76.13%) |
13.03% (79.33%) |
11.20% (71.40%) |
11.11% (106.67%) |
-- (--) |
13.61% (77.33%) |
10.08% (66.93%) |
24.68% (66.46%) |
| 馬連 | 9.12% (63.06%) |
9.44% (65.39%) |
7.58% (56.74%) |
21.74% (99.13%) |
25.42% (105.42%) |
12.04% (74.24%) |
5.29% (51.39%) |
20.09% (61.29%) |
| ワイド | 21.64% (73.52%) |
20.56% (67.67%) |
20.83% (78.33%) |
47.83% (110.00%) |
44.07% (84.75%) |
24.61% (70.31%) |
16.88% (73.40%) |
41.42% (81.32%) |
| 馬単 | 5.10% (66.60%) |
5.00% (73.11%) |
4.17% (50.72%) |
17.39% (146.96%) |
11.86% (95.93%) |
7.33% (81.15%) |
3.02% (55.24%) |
20.09% (60.19%) |
| 三連複 | 6.49% (106.43%) |
6.39% (80.14%) |
5.30% (142.84%) |
21.74% (100.00%) |
13.56% (53.05%) |
7.85% (74.40%) |
4.79% (129.77%) |
15.61% (79.69%) |
| 三連単 | 1.08% (33.38%) |
0.56% (14.39%) |
1.14% (40.64%) |
8.70% (247.39%) |
1.69% (23.05%) |
1.57% (31.52%) |
0.76% (35.82%) |
15.61% (75.90%) |
| 総合 | 53.32% (71.74%) |
50.00% (66.59%) |
56.82% (74.38%) |
65.22% (124.24%) |
66.10% (72.28%) |
59.16% (72.34%) |
48.61% (70.37%) |
87.64% (73.46%) |
これは良いのか悪いのか...
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