The objective of a predictive analytics algorithm is to model the relationship between input and output variables. The neural network technique approaches this problem by developing a mathematical explanation that closely resembles the biological process of a neuron. Although the developers of this technique have used many biological terms to explain the inner workings of neural network modeling process, it has a simple mathematical foundation. Consider the simple linear mathematical model:

$Y=1+2{\text{X}}_{1}+3{\text{X}}_{\text{2}}+4{\text{X}}_{3}$

Where Y is the calculated output and ${\text{X}}_{1},{\text{X}}_{2},\text{and}{\text{X}}_{3}$ are input attributes. 1 is the intercept and 2, 3, and 4 are the ...

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