minus-squaresrpulga@alien.topBtoMachine Learning@academy.garden•[D] Why are ML model outputs not tested regarding statistical significance?linkfedilinkEnglisharrow-up1·1 year agoIn the industry, cross-validation is a good measure of the model’s utility, which is what matters in the end. But I agree that academia definitely should report some measure of uncertainty particularly in benchmarks. linkfedilink
minus-squaresrpulga@alien.topBtoMachine Learning@academy.garden•[Project] How we made Git work for machine learninglinkfedilinkEnglisharrow-up1·1 year agoNexus, Artifactory, etc exist. linkfedilink
In the industry, cross-validation is a good measure of the model’s utility, which is what matters in the end. But I agree that academia definitely should report some measure of uncertainty particularly in benchmarks.