# Time Series Classification on MosquitoSound (test)

Source: [Time Series Classification on MosquitoSound (test)](<https://www.sota2.com/research/sota/time-series-classification-on-mosquitosound-test>)

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

Data updated: 2026-02-26T05:28:18.904Z

Evaluation of Time Series Classification performance on the test split of the MosquitoSound dataset.

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 | Time Series Classification |
| Dataset (including any stated split) | MosquitoSound (test) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 9 of 9 |
| 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](<https://www.sota2.com/research/sota/time-series-classification-on-mosquitosound-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| CDIL-CNN | 91.54 | Not recorded | 68fa6ca51e209131cea3532d |
| CNN | 89.72 | Not recorded | 68fa6ca51e209131cea3532d |
| Deformable | 88.92 | Not recorded | 68fa6ca51e209131cea3532d |
| TCN | 85.99 | Not recorded | 68fa6ca51e209131cea3532d |
| Performer | 68.34 | Not recorded | 68fa6ca51e209131cea3532d |
| Linformer | 60.44 | Not recorded | 68fa6ca51e209131cea3532d |
| GRU | 42.44 | Not recorded | 68fa6ca51e209131cea3532d |
| Transformer | 32.92 | Not recorded | 68fa6ca51e209131cea3532d |
| LSTM | 32.4 | Not recorded | 68fa6ca51e209131cea3532d |

### CDIL-CNN

Accuracy: 91.54. Result ID: 698f2c953a6c314849f6ac75.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6ca51e209131cea3532d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6ca51e209131cea3532d.md>)

[Implementation](<https://github.com/LeiCheng-no/CDIL-CNN>)

Recorded evaluation configuration: {"N":3750,"number of runs":5,"channels":32}. This record does not assert independent reproduction.

### CNN

Accuracy: 89.72. Result ID: 698f2c953a6c314849f6ac74.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6ca51e209131cea3532d.md>)

Recorded evaluation configuration: {"N":3750,"number of runs":5,"channels":32}. This record does not assert independent reproduction.

### Deformable

Accuracy: 88.92. Result ID: 698f2c953a6c314849f6ac73.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6ca51e209131cea3532d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa636b1e209131ce9fea12.md>)

[Implementation](<https://github.com/msracver/Deformable-ConvNets>)

Recorded evaluation configuration: {"N":3750,"number of runs":5}. This record does not assert independent reproduction.

### TCN

Accuracy: 85.99. Result ID: 698f2c953a6c314849f6ac72.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6ca51e209131cea3532d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa643f1e209131cea036fe.md>)

[Implementation](<http://github.com/locuslab/TCN>)

Recorded evaluation configuration: {"N":3750,"number of runs":5}. This record does not assert independent reproduction.

### Performer

Accuracy: 68.34. Result ID: 698f2c953a6c314849f6ac6f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6ca51e209131cea3532d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68bd1e209131cea1dee1.md>)

[Implementation](<https://github.com/google-research/long-range-arena>)

Recorded evaluation configuration: {"N":3750,"number of runs":5}. This record does not assert independent reproduction.

### Linformer

Accuracy: 60.44. Result ID: 698f2c953a6c314849f6ac6e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6ca51e209131cea3532d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68bd1e209131cea1dee1.md>)

[Implementation](<https://github.com/google-research/long-range-arena>)

Recorded evaluation configuration: {"N":3750,"number of runs":5}. This record does not assert independent reproduction.

### GRU

Accuracy: 42.44. Result ID: 698f2c953a6c314849f6ac71.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6ca51e209131cea3532d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa617f1e209131ce9f4955.md>)

Recorded evaluation configuration: {"N":3750,"number of runs":5}. This record does not assert independent reproduction.

### Transformer

Accuracy: 32.92. Result ID: 698f2c953a6c314849f6ac6d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6ca51e209131cea3532d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68bd1e209131cea1dee1.md>)

[Implementation](<https://github.com/google-research/long-range-arena>)

Recorded evaluation configuration: {"N":3750,"number of runs":5}. This record does not assert independent reproduction.

### LSTM

Accuracy: 32.4. Result ID: 698f2c953a6c314849f6ac70.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6ca51e209131cea3532d.md>)

Recorded evaluation configuration: {"N":3750,"number of runs":5}. This record does not assert independent reproduction.

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