---
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)
---