yl0628
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co2-emission-time-series

Model card Files Files and versions

Model Card: AutoML TimeSeries Predictor for Carbon Dioxide Emission

Model Details

Framework: AutoGluon
Task: Time Series Regression

Dataset

Source: EDGAR GHG
Target: target (CO2 emission)
Preprocessing Steps:
- Extracted CO2 only rows.
- Dropped 'Substance' column.
- Rearranged the processed dataframe

Training

Framework: AutoGluon
Preset: prediction_length = 10, freq = "Y"
Explored Models: SeasonalNaive, RecursiveTabular, AutoETS, and WeightedEmsemble.

Best Model

Model: ＷeightedAssembly
Total Runtime: 42.02 seconds
Time to inference: 0.109650 seconds
Weighted Quantile Loss (WQL): -0.0665

Notes

Educational use only. Used AutoML for training model, used ChatGPT to debug

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