AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Machine-learning classification is now used across medicine, the social sciences, economics, education and engineering, very often by researchers who do not program. Two errors recur in such work: preprocessing learned on all rows before cross-validation (data leakage), and reporting the cross-validation score of the c...
The Sign-Symmetric Hassanat Distance (SHasD), a single branch-free formula D(a,b)=|a−b|/(1+max(|a|,|b|)) that is invariant under the reflection x↦−x, coincides exactly with HasD on non-negative data, and removes the conditional shift entirely.
The theoretical results provide a principled non-cross-validated alternative to the classical n rule, and cross-validation remains the strongest k-selection strategy when computationally feasible.
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