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
- 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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