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--- |
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tags: |
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- autogluon |
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- tabular |
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- classification |
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--- |
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license: mit |
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language: |
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- en |
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pipeline_tag: tabular-classification |
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tags: |
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- pokemon |
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datasets: |
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- ecopus/pokemon_cards |
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metrics: |
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- accuracy |
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- f1 |
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library_name: autogluon |
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Model Details: |
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-This model was trained using AutoGluon's best_quality preset, |
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which automatically selects the best of various models to maximize accuracy |
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Training Data |
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-This model was trained on the ecopus/pokemon_cards dataset. |
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Evaluation Data |
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-This model was evaluated on the test split of the augmented data (df_synth_test) |
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and original data (df_orig) from ecopus/pokemon_cards. |
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Performance |
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-On the augmented test set, both the accuracy and weighted F1 were 1.0000. |
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-On the original data, the accuracy was 0.8235 and the weighted F1 was 0.8135 |
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Usage |
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-This model can be loaded and used with AutoGluon and the huggingface_hub library. |
