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--- |
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license: mit |
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datasets: |
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- scikit-learn/iris |
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metrics: |
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- accuracy |
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pipeline_tag: text-classification |
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tags: |
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- biology |
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--- |
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# IrisClassifier_v1 |
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## Model Overview |
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`IrisClassifier_v1` is a simple Logistic Regression model trained on the classic Iris dataset. It predicts the species of an iris flower based on its sepal and petal measurements. |
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## Model Details |
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- **Pipeline Tag**: `tabular-classification` |
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- **Framework**: scikit-learn |
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- **Dataset**: [scikit-learn/iris](https://scikit-learn.org/stable/datasets/index.html#iris-dataset) |
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- **Task**: Classification |
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- Input: Four numeric features (sepal length, sepal width, petal length, petal width) |
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- Output: Predicted species (0:Setosa, 1:Versicolor, 2:Virginica) |
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