Neural net evolution. a neural net typically starts out with random coefficients; hence, it produces essentially random predictions when presented with its first case. what is the key ingredient by which the net evolves to produce a more accurate prediction?

The key ingredient by which the net evolves to produce more accurate prediction is by High Predictive Performance (HPP) . They have structures that helps them to capture complex relationship between a response and predictive which is most times impossible with other classifiers.

Explanation:

High Predictive Performance is the key ingredient by which the net evolves to produce more accurate prediction.

Explanation:

Given:

A neural net typically starts out with random coefficients.

It produces essentially random predictions when presented with its first case.

        between a response and predictive which is most times impossible

        with other classifiers.

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