Using RFIS fuzzy model for breast cancer detection

Using RFIS fuzzy model as a classifier for breast cancer detection.

This example demonstrates the use of RFIS fuzzy model to detect breast cancer from a set of observations. Moreover, classical methods such as DT, Naive Bayes, KNN, LDA, and SVM are determined.

Requires loading data from the website: https://archive.ics.uci.edu/ml/datasets/breast+cancer+wisconsin+%28original%29 In the original data file (with 699 records) you should delete 16 records with missing data (marked with '?'). This way, after loading the data, you should get a matrix of 683 rows and 11 columns in size.

Requires the RFIS package that can be downloaded from: https://www.mathworks.com/matlabcentral/fileexchange/95848-rfis-regression-based-fuzzy-inference-system?s_tid=srchtitle