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How to Colour regions in a gscatter?

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Bhavick Singh
Bhavick Singh on 15 Jun 2021
Edited: Cris LaPierre on 16 Jun 2021
The attached graph shows 3 different groups. I want to shade the groups as well. all of them are separated from each other so it my be linear shading. Please assist.
Bhavick Singh
Bhavick Singh on 16 Jun 2021
@Shelly Choudhary yes they have been grouped based on where they lie on the y axis.

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Answers (1)

Cris LaPierre
Cris LaPierre on 16 Jun 2021
Edited: Cris LaPierre on 16 Jun 2021
This is actually from the Machine Learning Onramp, not MATLAB Onramp. See Chapter 2.5. The one you show is specifically in the background popup of Task 2.
Those plots are created following the steps outlined on the Visualize Decision Surfaces of Different Classifiers.
Here's an example based on that doc page:
load fisheriris
X = meas(:,1:2);
y = categorical(species);
labels = categories(y);
% Visualize the data using a scatter plot. Group the variables by iris species.
xlabel('Sepal length');
ylabel('Sepal width');
% Train a naive Bayes model.
classifier = fitcnb(X,y);
% Create a grid of points spanning the entire space within some bounds of the actual data values.
x1range = min(X(:,1)):.01:max(X(:,1));
x2range = min(X(:,2)):.01:max(X(:,2));
[xx1, xx2] = meshgrid(x1range,x2range);
XGrid = [xx1(:) xx2(:)];
% Predict the iris species of each observation in XGrid using all classifiers. Plot the a scatter plot of the results.
predictedspecies = predict(classifier,XGrid);
% Visualize the decision surface
gscatter(xx1(:), xx2(:), predictedspecies,[255 191 191; 191 255 191; 191 191 255]./255);
hold on
hold off
title('Naive Bayes')
legend off, axis tight




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