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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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- unsw_nb15_training-set.csv |
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model-index: |
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- name: predict-intrusion2 |
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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: unsw_nb15_training-set.csv |
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name: unsw_nb15_training-set.csv |
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metrics: |
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- type: accuracy |
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name: Accuracy |
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value: 0.9487999677658081 |
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- type: loss |
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name: Model loss |
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value: 0.36453571915626526 |
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--- |
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# classification model trained on "unsw_nb15_training-set.csv" |
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🤖 [Load and use this model](https://mlconsole.com/model/hf/zakariaelaouene/predict-intrusion2) in one click. |
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🧑💻 [Train your own model](https://mlconsole.com) on ML Console. |
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