Garden Tutorial Model
This repo contains a groundbreaking AI model that classifies species of irises by sepal length, sepal width, petal length and petal width. See here for details on the training dataset.
model.joblib is a serialized RandomForestClasifier trained with sklearn version 1.3.1. The training code is in Train_Model.ipynb. The model accepts a list of iris feature lists like
[
[5.5, 2.4, 3.7, 1. ],
[6.3, 2.8, 5.1, 1.5],
[6.4, 3.1, 5.5, 1.8],
[6.6, 3. , 4.4, 1.4],
...
]
where each list is [sepal_length, sepal_width, petal_length, petal_width]. The model outputs an iris category as an integer. 0 is setosa, 1 is versicolor, 2 is virginica.