SOTAVerified

Core set discovery

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.

Papers

Showing 11 of 1 papers

TitleStatusHype
Uncovering Coresets for Classification With Multi-Objective Evolutionary AlgorithmsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EvoCoreF1(10-fold)18.6Unverified
#ModelMetricClaimedVerifiedStatus
1EvoCoreF1(10-fold)91.5Unverified
#ModelMetricClaimedVerifiedStatus
1EvoCoreF1(10-fold)74.3Unverified
#ModelMetricClaimedVerifiedStatus
1EvoCoreF1(10-fold)69.3Unverified
#ModelMetricClaimedVerifiedStatus
1EvoCoreF1(10-fold)64.3Unverified
#ModelMetricClaimedVerifiedStatus
1EvoCoreF1(10-fold)90.5Unverified
#ModelMetricClaimedVerifiedStatus
1EvoCoreF1(10-fold)77.1Unverified
#ModelMetricClaimedVerifiedStatus
1EvoCoreF1(10-fold)93.7Unverified
#ModelMetricClaimedVerifiedStatus
1EvoCoreF1(10-fold)65.9Unverified
#ModelMetricClaimedVerifiedStatus
1EvoCoreF1(10-fold)83.9Unverified
#ModelMetricClaimedVerifiedStatus
1EvoCoreF1(10-fold)77.2Unverified
#ModelMetricClaimedVerifiedStatus
1EvoCoreF1(10-fold)91.2Unverified
#ModelMetricClaimedVerifiedStatus
1EvoCoreF1(10-fold)91.1Unverified
#ModelMetricClaimedVerifiedStatus
1EvoCoreF1(10-fold)94.6Unverified