Score breakdown

A Few Useful Things to Know About Machine Learning

paper-0059 · paper · 2012

Pedro Domingos

The most-shared practical wisdom paper in ML.

Academic, score -0.1677

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent3250.00.0146290.50.007315OpenAlexhighlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.1recorded as missing; penalized by rule, never imputed
readership_persistencepresent15.01.00.050.05OpenAlexmediumlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.125recorded as missing; penalized by rule, never imputed

Broad Influence, score 0.2029

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent3250.00.0146290.20.002926OpenAlexhighlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.125recorded as missing; penalized by rule, never imputed
readership_persistencepresent15.01.00.40.4OpenAlexmediumlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.075recorded as missing; penalized by rule, never imputed

Governance Practitioner, score -0.2213

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent3250.00.0146290.250.003657OpenAlexhighlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.15recorded as missing; penalized by rule, never imputed
readership_persistencepresent15.01.00.10.1OpenAlexmediumlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.175recorded as missing; penalized by rule, never imputed

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