あれもこれも試してるんですが、昨日やった相対タイム学習の\(R^{2}\)=0.2286は
| 2,538R | 1点 | 芝(1,241R) | ダート(1,211R) | 障害(86R) | 8頭以下(147R) | 9～12頭(645R) | 13頭以上(1,746R) | 多点 |
| 単勝 | 23.96% (74.36%) |
23.61% (74.60%) |
24.77% (75.52%) |
17.44% (54.42%) |
36.05% (77.55%) |
24.96% (71.75%) |
22.57% (75.05%) |
53.55% (77.58%) |
| 複勝 | 54.89% (79.39%) |
53.34% (78.53%) |
56.56% (80.68%) |
53.49% (73.72%) |
63.95% (85.17%) |
59.38% (81.32%) |
52.46% (78.19%) |
88.57% (80.66%) |
| 枠連 | 12.67% (65.38%) |
12.03% (64.91%) |
13.25% (65.75%) |
12.99% (66.36%) |
-- (--) |
13.64% (63.98%) |
11.57% (62.04%) |
28.85% (75.76%) |
| 馬連 | 9.57% (61.47%) |
9.27% (60.67%) |
9.99% (63.09%) |
8.14% (50.35%) |
21.09% (97.89%) |
11.16% (65.05%) |
8.02% (57.08%) |
22.54% (68.56%) |
| ワイド | 23.01% (70.37%) |
21.19% (61.15%) |
24.94% (79.17%) |
22.09% (79.42%) |
40.14% (77.01%) |
26.20% (72.05%) |
20.39% (69.19%) |
45.11% (74.73%) |
| 馬単 | 5.36% (55.20%) |
5.40% (66.12%) |
5.37% (44.48%) |
4.65% (48.49%) |
12.93% (92.45%) |
6.82% (68.34%) |
4.18% (47.21%) |
22.54% (67.43%) |
| 三連複 | 6.26% (70.87%) |
6.04% (67.89%) |
6.61% (76.94%) |
4.65% (28.60%) |
12.93% (63.81%) |
6.05% (57.40%) |
5.78% (76.45%) |
15.25% (60.63%) |
| 三連単 | 1.42% (56.11%) |
1.45% (66.89%) |
1.40% (46.79%) |
1.16% (31.74%) |
2.72% (85.92%) |
1.86% (68.50%) |
1.15% (49.02%) |
15.25% (57.55%) |
| 総合 | 56.11% (66.66%) |
54.71% (67.65%) |
57.56% (66.56%) |
55.81% (53.98%) |
65.31% (82.83%) |
60.31% (68.55%) |
53.78% (64.28%) |
88.77% (64.39%) |
取り立てて良いモデルかは微妙なんですが、酷いわけじゃない。これ、もう少し良くしたいと思い、
NumberOfLeaves: 63
NumberOfIterations: 700
LearningRate: 0.020
MaximumBinCountPerFeature: 127
MinimumExampleCountPerLeaf: 20
だと\(R^{2}\)=0.2332で
| 2,538R | 1点 | 芝(1,241R) | ダート(1,211R) | 障害(86R) | 8頭以下(147R) | 9～12頭(645R) | 13頭以上(1,746R) | 多点 |
| 単勝 | 24.07% (75.62%) |
23.85% (76.95%) |
24.69% (75.52%) |
18.60% (58.02%) |
36.73% (77.89%) |
25.27% (70.93%) |
22.57% (77.16%) |
52.88% (75.42%) |
| 複勝 | 55.91% (81.42%) |
54.47% (81.48%) |
57.47% (81.75%) |
54.65% (75.81%) |
66.67% (91.56%) |
59.07% (80.06%) |
53.84% (81.07%) |
87.90% (80.39%) |
| 枠連 | 13.46% (75.46%) |
12.41% (73.91%) |
14.20% (76.16%) |
16.88% (86.23%) |
-- (--) |
13.95% (67.13%) |
12.49% (74.08%) |
28.58% (73.12%) |
| 馬連 | 9.65% (65.71%) |
9.27% (65.02%) |
9.91% (66.17%) |
11.63% (69.07%) |
20.41% (95.71%) |
11.32% (65.80%) |
8.13% (63.14%) |
22.26% (67.34%) |
| ワイド | 23.72% (73.49%) |
21.92% (66.45%) |
25.60% (80.74%) |
23.26% (73.02%) |
38.10% (74.83%) |
27.60% (76.67%) |
21.08% (72.21%) |
45.19% (76.56%) |
| 馬単 | 5.08% (55.57%) |
4.83% (61.13%) |
5.28% (48.67%) |
5.81% (72.44%) |
10.88% (71.63%) |
6.82% (62.71%) |
3.95% (51.58%) |
22.26% (66.41%) |
| 三連複 | 6.42% (76.94%) |
6.37% (72.76%) |
6.52% (79.36%) |
5.81% (103.26%) |
12.93% (92.65%) |
7.60% (90.82%) |
5.44% (70.49%) |
15.41% (72.38%) |
| 三連単 | 1.38% (61.52%) |
1.21% (69.07%) |
1.57% (55.90%) |
1.16% (31.74%) |
2.72% (116.39%) |
2.17% (82.64%) |
0.97% (49.10%) |
15.41% (68.30%) |
| 総合 | 57.17% (70.66%) |
55.68% (70.79%) |
58.71% (70.50%) |
56.98% (71.00%) |
67.35% (88.67%) |
60.16% (74.59%) |
55.21% (67.35%) |
88.18% (70.30%) |
少し改善してますね。
ここで、ちょっと気にしてる葉の数なんだけど、極端に少ないのに気が付いた人はここまでの記事をしっかり読んでくれてる方だと思います。今回、Copilotが提案したパラメーターなんです。
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