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README.md

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 ---
 license: mit
 ---
+
+## 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.](https://archive.ics.uci.edu/dataset/53/iris)
+
+`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.