# Missing Value Prediction on BeijingAir 2 (test)

Source: [Missing Value Prediction on BeijingAir 2 (test)](<https://www.sota2.com/research/sota/missing-value-prediction-on-beijingair-2-test>)

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

Data updated: 2026-02-26T05:59:56.543Z

Evaluation of missing value prediction models on the test split of the BeijingAir 2 dataset, assessed using RMSE and MAE.

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 | Missing Value Prediction |
| Dataset (including any stated split) | BeijingAir 2 (test) |
| Metric | RMSE |
| Unit | SCALAR |
| Direction | Lower is better |
| Results loaded | 4 of 4 |
| 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

- [RMSE](<https://www.sota2.com/research/sota/missing-value-prediction-on-beijingair-2-test.md?metric=RMSE>): Lower is better; unit: SCALAR.

- [MAE](<https://www.sota2.com/research/sota/missing-value-prediction-on-beijingair-2-test.md?metric=MAE>): Lower is better; unit: SCALAR.

## Recorded results

| Method | RMSE | Result date | Report paper |
| --- | --- | --- | --- |
| SFTL-Tucker | 0.249 | Not recorded | 68fa711d1e209131cea4f310 |
| SFTL-CP | 0.256 | Not recorded | 68fa711d1e209131cea4f310 |
| NONFAT | 0.394 | Not recorded | 68fa711d1e209131cea4f310 |
| PTucker | 0.464 | Not recorded | 68fa711d1e209131cea4f310 |

### SFTL-Tucker

RMSE: 0.249. Result ID: 6991982a3a6c31484909391d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa711d1e209131cea4f310.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa711d1e209131cea4f310.md>)

[Implementation](<https://github.com/xuangu-fang/Streaming-Factor-Trajectory-Learning>)

Recorded evaluation configuration: {"Evaluation Mode":"Stream"}. This record does not assert independent reproduction.

### SFTL-CP

RMSE: 0.256. Result ID: 6991982a3a6c31484909391c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa711d1e209131cea4f310.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa711d1e209131cea4f310.md>)

[Implementation](<https://github.com/xuangu-fang/Streaming-Factor-Trajectory-Learning>)

Recorded evaluation configuration: {"Evaluation Mode":"Stream"}. This record does not assert independent reproduction.

### NONFAT

RMSE: 0.394. Result ID: 6991982a3a6c31484909391b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa711d1e209131cea4f310.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6cf31e209131cea36c14.md>)

Recorded evaluation configuration: {"Evaluation Mode":"Static"}. This record does not assert independent reproduction.

### PTucker

RMSE: 0.464. Result ID: 6991982a3a6c31484909391a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa711d1e209131cea4f310.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa54e91e209131ce98fa83.md>)

Recorded evaluation configuration: {"Evaluation Mode":"Static"}. This record does not assert independent reproduction.

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