| --- |
| license: mit |
| datasets: |
| - scikit-learn/iris |
| metrics: |
| - accuracy |
| pipeline_tag: text-classification |
| tags: |
| - biology |
| --- |
| # IrisClassifier_v1 |
| |
| ## Model Overview |
| `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. |
|
|
| ## Model Details |
| - **Pipeline Tag**: `tabular-classification` |
| - **Framework**: scikit-learn |
| - **Dataset**: [scikit-learn/iris](https://scikit-learn.org/stable/datasets/index.html#iris-dataset) |
| - **Task**: Classification |
| - Input: Four numeric features (sepal length, sepal width, petal length, petal width) |
| - Output: Predicted species (0:Setosa, 1:Versicolor, 2:Virginica) |
| --- |
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