how can i plot R2(regression line) between target and prediction

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NN
NN el 20 de Jun. de 2021
Respondida: pathakunta el 26 de En. de 2024
Please explain how can i plot R2 as regression line between target and prediction in matlab
Can some one please share the code ?
i am attaching a sample graph.

Respuestas (2)

Divija Aleti
Divija Aleti el 24 de Jun. de 2021
Hi,
Firstly, as R2 is a scalar, it cannot be plotted.
To plot the regression line, follow the example shown in the link below:
However, to get a similar output as shown in the above graph, you will have to make changes in the example. Refer to the sample code given below which is an extension of the example given in the link.
[x,t] = simplefit_dataset;
net = feedforwardnet(10);
net = train(net,x,t);
y = net(x);
plotregression(y,t,'Regression') % Reversed the order of t and y, as we want Target on the y-axis and Prediction on the x-axis
% Customization of title, x-label and y-label
a=gca;
title(a,'Test Data, R^2=0.9893')
xlabel(a,'Prediction')
ylabel(a,'Target')
Output:
For calculating the value of R-squared(R2), which is given as the title of the graph, have a look at the following links:
Hope this helps!
Regards,
Divija

pathakunta
pathakunta el 26 de En. de 2024
Firstly, as R2 is a scalar, it cannot be plotted. To plot the regression line, follow the example shown in the link below: plotregression However, to get a similar output as shown in the above graph, you will have to make changes in the example. Refer to the sample code given below which is an extension of the example given in the link. [x,t] = simplefit_dataset; net = feedforwardnet(10); net = train(net,x,t); y = net(x); plotregression(y,t,'Regression') % Reversed the order of t and y, as we want Target on the y-axis and Prediction on the x-axis % Customization of title, x-label and y-label a=gca; title(a,'Test Data, R^2=0.9893') xlabel(a,'Prediction') ylabel(a,'Target') Output:
For calculating the value of R-squared(R2), which is given as the title of the graph, have a look at the following links: Linear Regression Coefficient of Determination (R-Squared) Hope this helps!

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