Core set discovery

14 benchmarks1 papers

A core set in machine learning is defined as the minimal set of training samples that allows a supervised algorithm to deliver a result as good as the one obtained when the whole set is used.

Benchmarks

Core set discovery on Abalone

Core set discovery on Amazon-employee-access

Core set discovery on Credit-g

Core set discovery on Electricity

Core set discovery on Glass identification

Core set discovery on ISOLET

Core set discovery on JM1

Core set discovery on Kr-vs-kp

Core set discovery on Letter

Core set discovery on MNIST

Core set discovery on Mozilla4

Core set discovery on Soybean

Core set discovery on UCI GAS

Core set discovery on micro-mass