Mushroom Classification

Project information

A binary classification model to accurately predict whether a mushroom is edible or poisonous based on a given dataset. The dataset, a cleaned version of the original Mushroom Dataset from UCI, includes features such as cap diameter, cap shape, gill attachment, gill color, and others. The goal is to create a reliable model that can assist in identifying potentially harmful mushrooms.

machine-lear... xgboost

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Apache License 2.0

Created on

January 13, 2025

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