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Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Dataset Best quality Parameter set
brown 1.0 eps=0.0
MinPts=1
chang_pathbased 1.0 eps=13.671421936937572
MinPts=230
ppi_mips 0.997 eps=0.1
MinPts=766
chang_spiral 1.0 eps=7.07180944941879
MinPts=1
astral_40_strsim 1.0 eps=2.9112181333333336
MinPts=803
astral_40_seqsim_beh 1.0 eps=80.98927900303521
MinPts=733
fraenti_s3 1.0 eps=0.0
MinPts=1
bone_marrow_fixLabels 1.0 eps=0.0
MinPts=3
fu_flame 1.0 eps=7.379236071572722
MinPts=192
coli_state 0.0 eps=0.9839418781462299
MinPts=95
coli_find 0.0 eps=0.9363473678504585
MinPts=378
coli_need 0.0 eps=0.9348524756776756
MinPts=70
coli_time 0.0 eps=0.9914617621201025
MinPts=205
gionis_aggregation 1.0 eps=0.0
MinPts=1
veenman_r15 1.0 eps=0.0
MinPts=1
zahn_compound 1.0 eps=2.4521056710962155
MinPts=372
synthetic_spirals 1.0 eps=0.22080000000000002
MinPts=84
synthetic_cassini 1.0 eps=2.3497236746248142
MinPts=167
twonorm_100d 1.0 eps=1.8210053077346027
MinPts=54
twonorm_50d 1.0 eps=5.385181681800475
MinPts=67
synthetic_cuboid 1.0 eps=0.0
MinPts=108
astral1_161 1.0 eps=255.38843312353944
MinPts=405
tcga 1.0 eps=0.3877048715601111
MinPts=20
bone_marrow 1.0 eps=0.020339198944763118
MinPts=35
zachary 1.0 eps=0.0
MinPts=1