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nadakandrew/
places-automl

Name: places-automl
Availability: InStock

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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

python

import cloudpickle, pandas as pd
with open('autogluon_predictor.pkl', 'rb') as f:
    predictor = cloudpickle.load(f)
preds = predictor.predict(pd.DataFrame(...))

nadakandrew/places-automl