Beyond prediction: Assessing stability in feature selection methods for materials science applications

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On a recent appearance on Fox Business’ Varney & Co., O’Leary argued that the practice sends a “horrific signal” to employers about a candidate’s independence and employability. His first question to the Gen Z job candidate would be, “Do you want me to hire your mother or you?”

Finding these optimization opportunities can itself be a significant undertaking. It requires end-to-end understanding of the spec to identify which behaviors are observable and which can safely be elided. Even then, whether a given optimization is actually spec-compliant is often unclear. Implementers must make judgment calls about which semantics they can relax without breaking compatibility. This puts enormous pressure on runtime teams to become spec experts just to achieve acceptable performance.

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