Linear Regression is a tool to estimate a linear relationship between an input set and an output set.
Those formulae allows computation of Gain, Bias and Error from just five accumulation variables. This eliminates the need of storing and processing all samples of the set (2N variabiles)
>>>Linear Regression<<<
Bias and Gain
>>>Linear Regression Error<<<
Error Estimation
>>>Correlation<<<
Pearson Correlation and my custom Linear Correlation metric for use in neural networks