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iris-classifier – AI Model by mosesalphonse | AlphaNeural AI

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mosesalphonse/
iris-classifier

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Iris Classifier

A simple Random Forest classifier trained on the classic Iris dataset.

Model details

Algorithm: Random Forest (100 trees)
Library: scikit-learn
Dataset: Iris (150 samples, 4 features, 3 classes)
Test accuracy: 1.00

Input

4 numeric features:

Sepal length (cm)
Sepal width (cm)
Petal length (cm)
Petal width (cm)

Output

Predicted species class: 0 (setosa), 1 (versicolor), or 2 (virginica)

Usage

python

import skops.io as sio
from huggingface_hub import hf_hub_download

path = hf_hub_download(repo_id="mosesalphonse/iris-classifier", filename="model.skops")
model = sio.load(path, trusted=True)

prediction = model.predict([[5.1, 3.5, 1.4, 0.2]])
print(prediction)