Table 3 ANN model summary.

From: A generative AI cybersecurity risks mitigation model for code generation: using ANN-ISM hybrid approach

Model summary

Training

Sum of squares error

6.329

Relative error

0.985

Stopping rule used

1 consecutive step(s) with no decrease in errora

Training time

0:00:00.01

Testing

Sum of squares error

0.062

Relative error

0.054

  1. Dependent variable: cybersecurity risks in automatic code generation. a. Error computations are based on the testing sample.
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