Using RFIS fuzzy model for breast cancer detection

版本 1.0.3 (3.8 KB) 作者: Krzysztof Wiktorowicz
Using RFIS fuzzy model as a classifier for breast cancer detection.
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更新时间 2022/11/29

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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

引用格式

Krzysztof Wiktorowicz (2024). Using RFIS fuzzy model for breast cancer detection (https://www.mathworks.com/matlabcentral/fileexchange/116200-using-rfis-fuzzy-model-for-breast-cancer-detection), MATLAB Central File Exchange. 检索来源 .

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版本 已发布 发行说明
1.0.3

Added classical methods.
1.0.2

Added classical methods.
1.0.1

Updated description.
1.0.0