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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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Saving Classification Learner Results
In R2022b and higher, Classification Learner and Regression Learner now have a "Results Table" which contains lots of informatio...

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