# Runway Exit Prediction on KATL (West Flow)

Source: [Runway Exit Prediction on KATL (West Flow)](<https://www.sota2.com/research/sota/runway-exit-prediction-on-katl-west-flow>)

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

Data updated: 2026-06-11T08:55:52.419Z

Evaluation of models for predicting runway exits using the KATL (West Flow) dataset, assessed using standard classification metrics like Precision, Recall, F1-Score, and Accuracy.

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 | runway exit prediction |
| Dataset (including any stated split) | KATL (West Flow) |
| Metric | Precision |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 3 of 3 |
| 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

- [Precision](<https://www.sota2.com/research/sota/runway-exit-prediction-on-katl-west-flow.md?metric=Precision>): Higher is better; unit: PERCENT.

- [Recall](<https://www.sota2.com/research/sota/runway-exit-prediction-on-katl-west-flow.md?metric=Recall>): Higher is better; unit: PERCENT.

- [F1-Score](<https://www.sota2.com/research/sota/runway-exit-prediction-on-katl-west-flow.md?metric=F1-Score>): Higher is better; unit: PERCENT.

- [Accuracy](<https://www.sota2.com/research/sota/runway-exit-prediction-on-katl-west-flow.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Precision | Result date | Report paper |
| --- | --- | --- | --- |
| LightGBM | 84.7 | Not recorded | 6a28f38690966ade919c1abc |
| XGBoost | 77.7 | Not recorded | 6a28f38690966ade919c1abc |
| Random Forest | 54 | Not recorded | 6a28f38690966ade919c1abc |

### LightGBM

Precision: 84.7. Result ID: 6a2a778cfbc373592c27b85a.

[Reporting paper](<https://www.sota2.com/research/paper/6a28f38690966ade919c1abc.md>)

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

### XGBoost

Precision: 77.7. Result ID: 6a2a778cfbc373592c27b858.

[Reporting paper](<https://www.sota2.com/research/paper/6a28f38690966ade919c1abc.md>)

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

### Random Forest

Precision: 54. Result ID: 6a2a778cfbc373592c27b859.

[Reporting paper](<https://www.sota2.com/research/paper/6a28f38690966ade919c1abc.md>)

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

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