Mushroom Classification

The question

An interpretable classifier still needs a stated data population and evaluation method.

How it works

• Prepare the categorical dataset and document the cleaned population.
• Train a decision tree and inspect its predictions.
• Report cross-validation rather than treating a single training fit as evidence.

Evidence & results

• Stored notebook reports 98.3% mean accuracy in 10-fold cross-validation on 5,644 cleaned records.

Scope & next steps

• Educational dataset classification, not a field-safety tool for deciding whether a mushroom is edible.
• This notebook shares the Machine-Learning repository with Computer Performance Prediction.