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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