# Classification on AutoMulti (with Leaf Statistics)

Source: [Classification on AutoMulti (with Leaf Statistics)](<https://www.sota2.com/research/sota/classification-on-automulti-with-leaf-statistics>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-03-11T07:53:20.797Z

Evaluation of Classification performance on the AutoMulti dataset, reporting Average Accuracy, Standard Deviation, and statistics related to Leaf nodes.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Classification |
| Dataset (including any stated split) | AutoMulti |
| Metric | Accuracy (Avg) |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 5 of 5 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Accuracy (Avg)](<https://www.sota2.com/research/sota/classification-on-automulti-with-leaf-statistics.md?metric=Accuracy%20(Avg)>): Higher is better; unit: PERCENT.

- [Accuracy (StDev)](<https://www.sota2.com/research/sota/classification-on-automulti-with-leaf-statistics.md?metric=Accuracy%20(StDev)>): Lower is better; unit: SCALAR.

- [Average Leaves](<https://www.sota2.com/research/sota/classification-on-automulti-with-leaf-statistics.md?metric=Average%20Leaves>): Higher is better; unit: SCALAR.

- [Leaves (StDev)](<https://www.sota2.com/research/sota/classification-on-automulti-with-leaf-statistics.md?metric=Leaves%20(StDev)>): Lower is better; unit: SCALAR.

## Recorded results

| Method | Accuracy (Avg) | Result date | Report paper |
| --- | --- | --- | --- |
| LS-OMT | 43.98 | Not recorded | 68fa77751e209131cea733db |
| CART | 37.18 | Not recorded | 68fa77751e209131cea733db |
| LMT | 37.01 | Not recorded | 68fa77751e209131cea733db |
| OCMT | 34.49 | Not recorded | 68fa77751e209131cea733db |
| OCT | 27.39 | Not recorded | 68fa77751e209131cea733db |

### LS-OMT

Accuracy (Avg): 43.98. Result ID: 69b11f6d6dbb7075b95b4924.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77751e209131cea733db.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### CART

Accuracy (Avg): 37.18. Result ID: 69b11f6d6dbb7075b95b4923.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77751e209131cea733db.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### LMT

Accuracy (Avg): 37.01. Result ID: 69b11f6d6dbb7075b95b4922.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77751e209131cea733db.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### OCMT

Accuracy (Avg): 34.49. Result ID: 69b11f6d6dbb7075b95b4920.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77751e209131cea733db.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77751e209131cea733db.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### OCT

Accuracy (Avg): 27.39. Result ID: 69b11f6d6dbb7075b95b4921.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77751e209131cea733db.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

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