What does regression value in neural networks denote

What does the R value of Training, Validation, Testing and All denote, in the below plots

When i compute accuracy using classperf, i get another value such as 0.97307

So, how is regression value related to accuracy or is it the same?

Also what does the xlabel values in the below graph mean?

Answer 1

[KSSV]

Regression shows you how close the two datasets are. Regresion lies between [0,1]. The more the value the close the two datasets (in phase) are.

There is a formula to calculate the regression. Simple google will show you up the formula.

[Elysi Cochin]

Is the regression value obtained related to the accuracy value obtained?

[KSSV]

Okay...So the basics of NN is you have input-x and output-y; in NN you try to get a function y = f(x). Here f are the weights. NN gets weights by learnng the given input, output. When weights are generated, it will calculate it's output and comapres with the given output to adjust weights. So here regression is inbetween the NN generated output and the output provided by the user.