metadata
license: mit
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