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 1–1 of 1 papers

TitleStatusHype
Uncovering Coresets for Classification With Multi-Objective Evolutionary AlgorithmsCode0
Show:102550

Benchmark Results

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