Hello Tejomayi,
You can use the “fitcsvm” function to perform classification of animals using the SVM algorithm. Assuming you have the features data, below is a workflow that you can refer to
% Assume we have 3 features per animal.
features = [
70, 60, 110;
3000, 3, 25;
8, 8, 60;
90, 40, 11;
220, 80, 65;
40, 30, 55
];
% Corresponding labels for each animal
labels = {'Cheetah', 'Elephant', 'Fox', 'Pig', 'Tiger', 'Wolf'}';
% Convert string labels to categorical
categoricalLabels = categorical(labels);
% Train the SVM classifier
SVMModel = fitcsvm(features, categoricalLabels, 'KernelFunction', 'linear', 'Standardize', true);
% Display the trained SVM model
disp(SVMModel);
% Example of classifying a new animal based on its features
newAnimalFeatures = [100, 50, 50]; % Example features for a new animal
predictedLabel = predict(SVMModel, newAnimalFeatures);
% Display the predicted label
fprintf('The predicted animal is: %s\n', string(predictedLabel));
Please refer to the following documentation for more information on the “fitcsvm” function
