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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Dataset used to train appleboiy/IrisClassifier_v1