How to implement random forest classifier?

I have a feature set. How can I implement random forest classifier on it and how accuracy can be checked?? Please help me doing this.

Answer 1

[Akshat]

Hi @Zara Khan,

In order to implement a random forest classifier, you can use "TreeBagger" random forest classifier. Find more on this documentation link:

https://www.mathworks.com/help/stats/treebagger.html

Here is some boilerplate code for you:

% Example data
X = rand(1000, 73); 
Y = randi([0, 1], 1000, 1);

rng(1);
cv = cvpartition(size(X, 1), 'HoldOut', 0.3);
idx = cv.test;
XTrain = X(~idx, :);
YTrain = Y(~idx, :);
XTest = X(idx, :);
YTest = Y(idx, :);

numTrees = 100; % Number of trees in the forest
randomForestModel = TreeBagger(numTrees, XTrain, YTrain, 'Method', 'classification');

YPred = predict(randomForestModel, XTest);

Hope this helps!