Hi,
As per my understanding you can follow the following steps to obtain the training and testing datasets along with their prediction values:
- Extract Training and Testing Indices: Use the "tr" structure returned by the "train" function to get the indices of the training, validation, and testing datasets.
- Export Data and Predictions: Use these indices to extract the corresponding data and predictions, then save them to a file.
Here's how you can modify your script to achieve this:
% Extract Training, Validation, and Testing Indices
trainInd = tr.trainInd;
valInd = tr.valInd;
testInd = tr.testInd;
% Extract Training, Validation, and Testing Data
x_train = x(:, trainInd);
t_train = t(:, trainInd);
y_train = y(:, trainInd);
x_val = x(:, valInd);
t_val = t(:, valInd);
y_val = y(:, valInd);
x_test = x(:, testInd);
t_test = t(:, testInd);
y_test = y(:, testInd);
% Export Data and Predictions
train_data = [x_train' t_train' y_train'];
val_data = [x_val' t_val' y_val'];
test_data = [x_test' t_test' y_test'];
After this, if you want to save the results in any file, you can use the "writematrix" function. Kindly refer to the documentation of "writematrix" for more information: https://www.mathworks.com/help/matlab/ref/writematrix.html
