1 / 7

Wild Mushrooms Classification – Edible or Poisonous

Wild Mushrooms Classification – Edible or Poisonous. Yulin Shen ECE 539 Presentation 2013 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

alida
Télécharger la présentation

Wild Mushrooms Classification – Edible or Poisonous

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Wild Mushrooms Classification – Edible or Poisonous Yulin Shen ECE 539 Presentation 2013 Fall

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

  3. 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

  4. 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

  5. Results

  6. 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

  7. Questions?

More Related