metadata

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
Task: Classification
- Input: Four numeric features (sepal length, sepal width, petal length, petal width)
- Output: Predicted species (0:Setosa, 1:Versicolor, 2:Virginica)