Help me understand the Classifier App

I am looking to create a classifier in Matlab, but I'm having some issues in understanding how exactly it works. I have several data sets of n x 9 arrays with readings from 3 separate 3-axis analog sensors (outputting values in m/s^2), and I want to create a classifier to distinguish between a state described by each of these arrays (walking, standing, running, etc.). I am having significant issue understanding how the classifier app in Matlab can train a model to do such a thing, however, and each time I attempt to "train" it, I get exceptionally poor model performance. I am obviously missing something key here, and I'm not sure where to go. I do have a fairly elementary understanding of classifiers, but I'm finding the documentation available to be confusing.

[Image Analyst]

Are you talking about the training and classify()/predict() functions, or the Classification Learner app?

[Riley Strom]

Learner App

Answer 1

[Stephan]

Hi,

see example 1 from this webinar:

https://de.mathworks.com/videos/machine-learning-with-matlab-100694.html

Also note the links to the example code on this website.

Best regards

Stephan

[Riley Strom]

Awesome, thank you