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  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)
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- `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
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  ```
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  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)
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+ `model.joblib` is a serialized RandomForestClasifier trained with sklearn version 1.4.1.post1. The training code is in Train_Model.ipynb. The model accepts a list of iris feature lists like
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  ```
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