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Classical AutoML Tabular with AutoGluon
Overview
AutoML run with AutoGluon Tabular on a classmate dataset.
Task: multiclass
Data
- Source: yusenthebot/Places_Dataset
- Target: Category
Training
- Preset: best_quality
- Time budget: 360 seconds
Evaluation
- Internal: { "accuracy": 0.595, "f1_weighted": 0.5427640751405458 }
- External: { "accuracy": 0.84, "f1_weighted": 0.9000836385836386 }
How to use
import cloudpickle, pandas as pd
with open('autogluon_predictor.pkl', 'rb') as f:
predictor = cloudpickle.load(f)
preds = predictor.predict(pd.DataFrame(...))
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