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README.md

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+# 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)
+
 ---
 license: mit
 datasets: