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--- |
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license: unknown |
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inference: false |
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tags: |
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- mlconsole |
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- tabular-classification |
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library_name: mlconsole |
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metrics: |
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- accuracy |
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- loss |
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datasets: |
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- nateraw/world-happiness |
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model-index: |
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- name: nateraw_world-happiness_2018_2.csv |
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results: |
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- task: |
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type: tabular-classification |
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name: tabular-classification |
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dataset: |
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type: nateraw/world-happiness |
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name: nateraw/world-happiness |
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metrics: |
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- type: accuracy |
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name: Accuracy |
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value: 0.025641025975346565 |
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- type: loss |
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name: Model loss |
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value: 1.8496686220169067 |
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--- |
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# classification model trained on "nateraw/world-happiness" |
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🤖 [Load and use this model](https://mlconsole.com/model/hf/FaroukFaiz/nateraw_world-happiness_2018_2.csv) in one click. |
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🧑💻 [Train your own model](https://mlconsole.com) on ML Console. |
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