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--- |
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tags: |
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- autotrain |
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- vision |
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- image-classification |
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datasets: |
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- ppicazo/autotrain-data-astrophotography-object-classifier-alpha3 |
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widget: |
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- src: https://astronomy.sfo3.digitaloceanspaces.com/datasets/leo_triplet_19hrs_preview.png |
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example_title: Leo Triplet |
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- src: https://astronomy.sfo3.digitaloceanspaces.com/datasets/Cone_Preview.png |
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example_title: Cone Nebula |
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- src: https://astronomy.sfo3.digitaloceanspaces.com/datasets/HeartPreview.png |
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example_title: Heart Nebula |
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co2_eq_emissions: |
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emissions: 1.9111577522230074 |
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--- |
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# Model Trained Using AutoTrain |
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- Problem type: Multi-class Classification |
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- Model ID: 39543103134 |
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- CO2 Emissions (in grams): 1.9112 |
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## Validation Metrics |
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- Loss: 0.011 |
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- Accuracy: 1.000 |
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- Macro F1: 1.000 |
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- Micro F1: 1.000 |
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- Weighted F1: 1.000 |
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- Macro Precision: 1.000 |
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- Micro Precision: 1.000 |
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- Weighted Precision: 1.000 |
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- Macro Recall: 1.000 |
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- Micro Recall: 1.000 |
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- Weighted Recall: 1.000 |
