Can somebody help me please! What is the meaning of BOOTSRIP/cross-validation when used to estimate the error on a neural network training, using training, validation and testing sets. I got a bootsrip code from the web and applied it to my neural network and it produced the following stats:
stats =
0.4011
0.4551
0.5876
0.5360
0.5466
0.3919
0.5203
0.4795
0.5712
0.4501
what does it mean? Is the neural network training well or not! Could someone send me some information on this please????