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Table 1 PMLB results by [30]

From: Investigating the parameter space of evolutionary algorithms

ProblemFeaturesClassesSamples
(a) “Easier” problems
mofn-3-7-101021324
Clean216826598
Clean11682476
Mushroom2228124
Irish52500
Agaricus-lepiota2228145
Corral62160
xd692973
mux662128
ThreeOf992512
(b) “Harder” problems
Breast-cancer-wisconsin302569
wdbc302569
Tokyo1442959
New-thyroid53215
Spambase5724601
Vote162435
Soybean3518675
House-votes-84162435
Breast-w92699
Molecular-biology_promoters582106
  1. (a) “Easier” problems: 10 datasets for which a balanced accuracy of 1 was attained most frequently.
  2. (b) “Harder” problems: 10 datasets whose average balanced accuracy was in the range [0.9,0.95]. Shown for each problem: number of features, number of classes, and number of samples