Sample Data: Mushroom Classification

Determine whether a mushroom is edible based on physical characteristics

This dataset consists of 8124 records of the physical characteristics of gilled mushrooms in the Agaricus and Lepiota families, along with their edibility. The classification task is to determine the edibility given the physical characteristics of the mushrooms. The test and training sets were constructed by stratified random sampling using 30% of the data for the test set and the rest for the training set.

Examples

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Basic Examples

Retrieve the resource:

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Retrieve a sample of the data:

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Analysis

Train a classifier:

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Obtain general information about the classifier:

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Visualize the accuracy of the classifier:

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Bibliographic Citation

Wolfram Research, "Sample Data: Mushroom Classification" from the Wolfram Data Repository (2019)

Data Resource History

Date Created: 16 May 2019

Source Metadata

Title: Mushroom Data Set
Source: https://archive.ics.uci.edu/ml/datasets/mushroom
Citation: The Audubon Society Field Guide to North American Mushrooms (1981). G. H. Lincoff (Pres.), New York: Alfred A. Knopf.

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Publisher Information

Publisher of Record: Wolfram Research