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When using the regression learner app is there a way to save a regression learner session when many regressions have been run?
In R2022a and higher, Classification Learner and Regression Learner allow saving and loading of the app session. This is for the...

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Solver of Neural Network Models in Regression Learner app
The page https://www.mathworks.com/help/stats/choose-regression-model-options.html indicates that Regression Learner uses the fi...

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time series cross validation in svm
In R2022b, the "tspartition" function for time series partition was introduced: https://www.mathworks.com/help/stats/tspartition...

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training error in k-fold method
The Regression Learner app does not show the error metrics on the training data using the final model. The answer at https://www...

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Different Plots with the same dara on two different Versions
In the plot that looks like a line (21a), it looks like the observations in the data have been sorted from lowest to highest val...

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How is the prediction speed, in the regression learner, calculated?
The short answer is that Regression Learner uses the tic and toc commands around the model "predict" method call/s on the valida...

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Is k-folds cross-valiation in regressionlearner random or block/leave one out?
You can perform leave-one-out cross-validation in Regression Learner by setting the number of cross-validation folds equal to th...

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How can I test different kernels on my data using Gaussian process regression (GPR) ?
Your data has only seven points, so this is a very small dataset. Here are some results using R2022b RegressionLearner to build ...

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Question on Regression Learner App
To get the RMSE results on validation data, a set of k-fold cross-validation models are needed. In the example provided, 50-fol...

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Question on Regression Learner App
To work with a model from the Regression Learner app at the MATLAB commandline, it is recommended to use the "Export model" or "...

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What type of cross validation to use if my data has 5 scans per sample to avoid having same sample in train and test set
In near-infrared spectroscopy, it is common to average the spectra obtained from scans of the same sample. Even if some scans we...

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How to find training confusion matrix for model exported from classification learner app?
Given: (1) A model exported from Classification Learner is in the workspace as trainedModel (that is the default name when expo...

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ClassificationLearner Cross Validation without shuffling
You can have Classification Learner train on reps 1 and 2 and test on rep 3 by first separating the data at the commandline. The...

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How to find the accuracy rate of Regression Models in Classification Learner App
The page that you referenced is for the Regression Learner app. If you look at the doc pages for Classification Learner, or use ...

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kFoldLoss output is different from R2018b to R2021b
The differences in kfoldloss are generally caused by differences in the k-fold partition, which results in different k-fold mode...

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Classification Model Accuracy Using Classification Learner
It sounds like the model is overfitting on the training data. Some techniques to avoid overfitting can be seen here: https://www...

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does regression learner bagged tree is random forest or just bagged tree?
The short answer is that the "Bagged Trees" preset in the Regression Learner app does create a random forest of bagged trees usi...

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Question about using regressionLearner app
Since the 95% prediction interval for GPR models is not viewable within the regression learner app, you can move to the matlab c...

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Regression tree and regression equation
You can train a regression model using the regression learner app, then export the model to the workspace to predict new data as...

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How to use random forest in MATLAB?
The short answer to your question is yes. That is, the "Bagged Trees" classifier in the classification learner app uses a random...

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How to solve an error using a function generated by Classification Learner
Based on the warning messages, it looks like there are a couple of issues in your dataset. (1) The first warning sounds like y...

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How can the classification learner app can output a single tree after cross validation?
The short answer is that the Classification Learner does not export the k cross-validation models, but rather exports a final mo...

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Issue with the output of 'Classificaion learner app'
This is fixed in R2022b.

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How would I use Classification algorithms to identify waveforms and assign them a label?
To fully answer your question would require more info about your application and data. From what you wrote, perhaps you have a t...

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How do I make the results of a boosted classification tree reproducible?
The different results are likely coming from randomization in the hyperparameter optimization. https://www.mathworks.com/help/st...

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How can I use the output of a classifier as the input of other classifier?
Using the output of one classifier as the input of another classifier is called stacking. Stacking, bagging, and boosting are al...

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MATLAB: Which components are kept in PCA with Classification Learner?
Each PCA component consists of a linear combination of the original features. The PCA components are ordered according to the e...

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Machine Learning using Image Labeler App, Classification Learner App
Here is an example of how to extract image features using a pretrained network, and then build a classifier with those features:...

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Image classification (Image Labeler, Classification Learner App)
Here is an example of how to extract image features using a pretrained network, and then build a classifier with those features....

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PDP plots for ensembled tree from matlab classification learner app
Note, starting in R2022b, Partial Dependence line plots are available within the Classification and Regression Learner apps. For...

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