SVM Analysis of Fisher Iris Dataset

This project utilizes MATLAB for Support Vector Machine (SVM) analysis on the Fisher Iris dataset. It includes MATLAB source code for training an SVM model, a detailed HTML report explaining the code, and several image files displaying the SVM analysis results.

Files

• svm_analysis.m: MATLAB script containing the SVM analysis code.
• code_breakdown.html: Report written in HTML format, explaining the MATLAB code and displaying the results.
• results.png: Image file showing the results of SVM analysis.
• DecisionBoundary.m: MATLAB script for visualizing the decision boundary of the SVM model.
• Outliers.m: MATLAB script for analyzing outliers in the dataset.
• MulticlassBoundaries.m: MATLAB script for visualizing decision boundaries in a multiclass SVM.
• DecisionBoundary.png: Image file showing the decision boundary visualization.
• IrisClassificationRegions.png: Image file showing the classification regions of the Iris dataset.
• Outliers.png: Image file showing the analysis of outliers in the dataset.
• ScatterDiagramIrisMeasurements.png: Image file showing the scatter diagram of Iris measurements.

Acknowledgment

This project includes code snippets adapted from the MATLAB documentation for the fitcsvm function. You can find more information and examples in the official MATLAB documentation here.