# ベースフード (2936.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**: ベースフード
- **Sector**: 食品
- **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/2936.T
- **JSON**: https://qbuntu.ai/v1/stocks/2936.T
- **License**: CC-BY-4.0

## Accuracy (median across grid)

Median LONG hit rate is 0.3719 — below a coin flip.

| metric | median | p25 | p75 | n |
|---|---:|---:|---:|---:|
| hit_rate_long | 0.3719 | 0.3523 | 0.4079 | 12 |
| hit_rate_short | 0.4228 | 0.3931 | 0.4493 | 12 |
| avg_return_long_bps | -92.1 | -134.7 | -55.1 | 12 |
| avg_return_short_bps | -149.0 | -228.1 | -56.3 | 12 |
| selection_rate_long | 0.0096 | 0.0089 | 0.0104 | 12 |
| selection_rate_short | 0.0133 | 0.0118 | 0.0140 | 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: -51.7
- short: -121.5
- total: -173.3
- appearances: LONG 5496 / SHORT 7410 of 573888

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Research, not investment advice. These metrics describe model–stock fit, not the stock's merit.
Cite as: qbuntu (2026). 2936.T per-stock accuracy. https://qbuntu.ai/stocks/2936.T