Predictive Modeling Using the UCI Machine Learning Mushroom Dataset

Predictive Modeling Using the UCI Machine Learning Mushroom Dataset

Edible or Regrettable is an application that uses a random forest classifier to predict whether a mushroom is poisonous or edible. The data is sourced from Kaggle. It was originally donated to the UCI Machine Learning Repository in 1987.

The application is built using Plotly’s Dash Platform.

Other python libraries used include: Category Encoders, ELI5, Matplotlib, Pandas, PDPbox, Scikit-learn, and Seaborn.