Can anyone interpret this regression plot for neural networks?

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Hello! I am trying a multilayer perceptron for intradaily data. The training is going smoothly but I get the following regression plot. Can anyone tell me if that is acceptable result? Thank you!!

Accepted Answer

Nipun Katyal
Nipun Katyal on 13 Mar 2020
As the ylabel of these graphs denote an equation between the predicted value and the target value, with output as the dependent variable and target as the independent variable. These equations can be used to show how well your MLP is able to perform. The coefficient of Target shows the proportionality between the output and the targets, hence for a good performance MLP it should be as close to unity as possible. The second term which is a constant, is the error or the residue which should be added to the scaled Target to make it as close as possible to the predicted output, ideally it should be zero or as small as possible. The title represents the coefficient of regression between target and the output. As far as the results for your classifier go, there is some disparity between the training and the testing accuracy, maybe it is because of overfitting, but now you have a clear idea about the plots and can use them to compare the results to find the best results.

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More Answers (1)

Jesse Nyokabi
Jesse Nyokabi on 19 Feb 2021
Going through the same now! The answers are okay


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