Not exact matches
«
Such a
classifier is completely useless.»
This geometric view on data is useful in some applications,
such as learning spam
classifiers, but, the more dimensions, the longer it can take for an algorithm to run, and the more memory the algorithm uses.
As
such, it is irreducibly subjective, even though it may have nothing to do with the
classifier's «tastes and feelings.»
LexisNexis Risk
Classifier utilizes data from attributes derived from public records, driving history and credit to help better assess a proposed insured's risk profile.3 What this means is credit history
such as a bankruptcy, foreclosure, short sale, tax liens, or even a low credit score can affect your life insurance rates.
The working activities of a Stamp
Classifier include organizing stamps into various classes based on a wide variety of factors
such as, examining, evaluating and determining their value by using a stamp catalog.
The
classifier then uses these same standards to determine the grade level of the job, based on factors
such as how complex the work is and how closely your supervisor reviews your work.