# 栗林商船 (9171.T) — per-stock model accuracy

> Model predictability decomposition: measures how accurately the ml-factor-lgbm-9f-jp-growth model family predicts this stock's returns within the jp-listed universe. High hit_rate_long does NOT mean 'good stock to buy' -- it means 'the model historically predicted this stock well when selecting it LONG'. This is a property of model-stock fit, not intrinsic stock quality.

- **Name**: 栗林商船
- **Sector**: 運輸・物流
- **Universe**: jp-listed
- **Decomposes**: `ml-factor-lgbm-9f-jp-growth` (strategy verdict: marginal) — https://qbuntu.ai/strategies/ml-factor-lgbm-9f-jp-growth
- **Computed asof**: 2026-10-01T02:33:09
- **HTML**: https://qbuntu.ai/stocks/9171.T
- **JSON**: https://qbuntu.ai/v1/stocks/9171.T
- **License**: CC-BY-4.0

## Accuracy (median across grid)

Median LONG hit rate is 0.4421 — below a coin flip.

| metric | median | p25 | p75 | n |
|---|---:|---:|---:|---:|
| hit_rate_long | 0.4421 | 0.4079 | 0.5085 | 12 |
| hit_rate_short | 0.3923 | 0.3549 | 0.4559 | 12 |
| avg_return_long_bps | -6.4051 | -65.3 | 44.4 | 12 |
| avg_return_short_bps | 43.4 | 5.6427 | 194.4 | 12 |
| selection_rate_long | 0.0085 | 0.0066 | 0.0114 | 12 |
| selection_rate_short | 0.0129 | 0.0089 | 0.0163 | 12 |

Hit rate ≈ 0.5 means the model's picks on this stock were near coin-flip. Returns in bps/trade. Metrics with n = 0 are omitted; n < 5 is a thin sample.

## PnL contribution

- long: 0.2376
- short: 24.9
- total: 25.2
- appearances: LONG 1950 / SHORT 2840 of 218880

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Research, not investment advice. These metrics describe model–stock fit, not the stock's merit.
Cite as: qbuntu (2026). 9171.T per-stock accuracy. https://qbuntu.ai/stocks/9171.T