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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=0.7333333333333333
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=100.27244067042456
MinPts=628
fraenti_s3 1.0 eps=0.0
MinPts=1
bone_marrow_fixLabels 1.0 eps=0.0
MinPts=35
fu_flame 1.0 eps=5.411439785819995
MinPts=8
coli_state 0.0 eps=0.915694860267706
MinPts=120
coli_find 0.0 eps=0.9636270673431192
MinPts=70
coli_need 0.0 eps=0.9860398162166449
MinPts=14
coli_time 0.0 eps=0.8761955507414836
MinPts=239
gionis_aggregation 1.0 eps=6.469243472857636
MinPts=683
veenman_r15 1.0 eps=0.0
MinPts=1
zahn_compound 1.0 eps=8.582369848836754
MinPts=306
synthetic_spirals 1.0 eps=0.0
MinPts=42
synthetic_cassini 1.0 eps=2.480263878770637
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=0.6326229229360666
MinPts=10
bone_marrow 1.0 eps=0.1220351936685787
MinPts=2
zachary 1.0 eps=4.9
MinPts=9