STGLDWeather: Ablation Study RMSE Results for Five Weather Variables

ZhiPeng Wu's ablation study results on Root Mean Square Error for different configurations of the STGLDWeather model. The dataset covers five key weather variables and was last updated on June 4, 2026. The data is stored in a 5.5 KB XLS file.

Use Cases

• Compare model performance across different architectural configurations based on the ablation study results.
• Benchmark the STGLDWeather model's RMSE for five key weather variables.
• Analyze the impact of specific model components on forecast accuracy for weather prediction tasks.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Results are focused on a specific ablation study for a named model (STGLDWeather), providing clear context.
• Data is licensed under CC-BY-4.0, allowing for open sharing and reuse.

Limitations

• Row count is unknown, which may limit suitability assessment for statistical analysis.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data structure and quality require manual inspection.

Provenance

Source

ZhiPeng Wu via figshare

Collection Method

Likely contains results from computational experiments with a weather forecasting model.

Freshness

Last updated 2026-06-04 17:33:30; freshness should be verified.