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Iris Species Classifier

A lightweight logistic regression model trained on the classic Iris dataset. Classifies flower measurements into three species: Setosa, Versicolor, Virginica.

Usage

import mlflow.pyfunc
import pandas as pd

model = mlflow.pyfunc.load_model("kalifi/iris-species-classifier")

sample = pd.DataFrame(
    [[5.1, 3.5, 1.4, 0.2]],
    columns=["sepal_length", "sepal_width", "petal_length", "petal_width"]
)
print(model.predict(sample))  # ['setosa']

Performance

Accuracy: 97.3% on held-out test set
Training data: UCI Iris Dataset (150 samples)
Framework: scikit-learn LogisticRegression + StandardScaler pipeline

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