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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=0.0
MinPts=1
chang_spiral 1.0 eps=28.28723779767516
MinPts=239
astral_40_strsim 1.0 eps=0.0
MinPts=1
astral_40_seqsim_beh 1.0 eps=50.13622033521228
MinPts=698
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=0.9437965735118041
MinPts=76
coli_find 0.0 eps=0.9242230569648314
MinPts=42
coli_need 0.0 eps=0.9534660540554826
MinPts=73
coli_time 0.0 eps=0.8932720265012789
MinPts=239
gionis_aggregation 1.0 eps=6.469243472857636
MinPts=683
veenman_r15 1.0 eps=0.9295510122873538
MinPts=120
zahn_compound 1.0 eps=0.0
MinPts=133
synthetic_spirals 1.0 eps=0.552
MinPts=17
synthetic_cassini 1.0 eps=2.3497236746248142
MinPts=167
twonorm_100d 1.0 eps=9.105026538673014
MinPts=27
twonorm_50d 1.0 eps=13.218173218964802
MinPts=1
synthetic_cuboid 1.0 eps=0.3134378492298121
MinPts=17
astral1_161 1.0 eps=69.6513908518744
MinPts=439
tcga 1.0 eps=0.3877048715601111
MinPts=20
bone_marrow 1.0 eps=0.0
MinPts=4
zachary 1.0 eps=0.0
MinPts=1