Regression learner response plot?

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Phil Whitfield
Phil Whitfield 2018-8-7
编辑： Milly 2024-6-20
So I am using the regression learner app, and it provides the plot that I want, however I would like to use that plot in the main matlab section, so I can change the titles, axis and colours of the graph.
I had a look for the data that it plots when exported, however could not find it.
Any advice?
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Milly
Milly 2024-6-20
Any update on this yet? It has been 6 years!
I have been able to recreate the resonse plot with "True" and "Predicted" options by adding the following code to the default "Generate Function" code.
I am still searching for how to include the "Errors" option to the chart, any suggestions welcome.
figure
plot(responseData,"*");
hold on
plot(validationPredictions,"*");
% need something here to add the "Errors" option!
hold off
Milly
Milly 2024-6-20
To add the error bars use the following:
% calculate mid point between each pair
midpoint = (responseData + validationPredictions)/2;
% calculate the distance from the mid point to either result
errorBars = abs(responseData - validationPredictions)/2;
% use both in errorbar plot with the connecting lines and markers turned off
errorbar(midpoint,errorBars,"LineStyle","none", 'DisplayName',"Error")

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回答（1 个）

Milly
Milly 2024-6-20
编辑：Milly 2024-6-20
Ran in:
To manually replicate the Response Plot from the Regression Learner and plot when you run it, add the following code to the end of the function.
The variables [responseData, validationPredictions] are created as default in the "Generate Function" code.
You can then adjust titles, axis and colours of the graph as usual, within this code.
% Dummy data, variable names as in "Generate Function" code
responseData = randi([1,10],10,1); % True
validationPredictions = randi([1,10],10,1); % Predicted
% plot results
figure
hold on
plot(responseData,"*", "DisplayName","True"); % Plot "True"
plot(validationPredictions,"*", "DisplayName","Predicted"); % Plot "Predicted"
% add errors
midpoint = (responseData + validationPredictions)/2; % mid point between each pair
errorBars = abs(responseData - validationPredictions)/2; % distance from mid point
errorbar(midpoint,errorBars,"LineStyle","none", 'DisplayName',"Error") % Plot "Errors"
legend('Location','northeastoutside')
title("Response Plot")
xlabel("Record number"); ylabel("Response")
hold off

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