Wild Mushrooms Classification – Edible or

PoisonousYulin ShenECE 539 Presentation2013 Fall

•Mushroom is a kind of food with high nutrition, however, it is sometimes poisonous!• A classification problem.• Develop some models for

prediction.

Dataset is from UCI Machine Learning Repository About 8000 combinations

Convert data into numerical form with an integral scale It can help to improve distances order for K-NN

4-way cross validation Get 4 pairs of datasets

K-NN Classifier Euclidean distance Exhaustive K Determined by occurrences

Naïve Bayer Classifier Each probability of features Compare positive and negative probabilities Some features have very high probabilities

Results

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References

University of California – Irvine. “Mushroom Dataset”, May 1989. http://archive.ics.uci.edu/ml/datasets/Mushroom

Grayson Leonard, Matt Schartman. “Classifying Edibility of Mushrooms”, June 2012.

Min-Ling Zhang, Zhi-Hua Zhou. “A K-Nearest Neighbor Based Algorithm for Multi-label Classification”.

Wikipedia. “Naïve Bayes Classifier”. http://en.wikipedia.org/wiki/Naive_Bayes_classifier

Questions?