User 1033cfd7dc
24-01-2007 13:14:37
Hello,
when I run the example (NCI1000, ACE) of optimize.bat, I got a results with enrichment=1, selectivity=0.5 for all cases. I don't know how to correct it. I even don't know whether the hitstatisctics or optimizemetrics is the origin of this problem. The optimizemetrics itself returns resonable values in the dos prompt.
See the output below. Could you tell me what to do?
Zsolt
.
.
.
. Usage: optimize {target file} {actives file}
. Target and actives can be chosen from the directory
. 'examples\molecules', e.g.:
. optimize nci500.smiles beta2_adrenoceptor_antagonists.smiles
.
.
. This example generates one set of molecular files for parameter
. optimization and evaluation of different parametrized metrics of two
. molecular descriptors (pharmacophore fingerprints and chemical
. fingerprints). Then it performs the optimization of parameters and
. evaluation of the performance of the generated parametrized metrics.
. These metrics are used in screening a set of molecules against a set of
. known actives.
.
.
. Results are written into the file example_statistics.stat.
.
.
RandomMS - Select subset of molecules, (C) 2002-2005 ChemAxon Ltd.
Reading input file nci1000.smiles
Initializing output file opt-target
Initializing output file hit-target
Selecting molecule nr.16
Selecting molecule nr.40
Selecting molecule nr.57
Selecting molecule nr.72
Selecting molecule nr.98
Selecting molecule nr.118
Selecting molecule nr.121
Selecting molecule nr.154
Selecting molecule nr.166
Selecting molecule nr.188
Selecting molecule nr.217
Selecting molecule nr.234
Selecting molecule nr.256
Selecting molecule nr.263
Selecting molecule nr.288
Selecting molecule nr.302
Selecting molecule nr.335
Selecting molecule nr.351
Selecting molecule nr.377
Selecting molecule nr.400
Selecting molecule nr.408
Selecting molecule nr.428
Selecting molecule nr.446
Selecting molecule nr.480
Selecting molecule nr.489
Selecting molecule nr.519
Selecting molecule nr.523
Selecting molecule nr.553
Selecting molecule nr.571
Selecting molecule nr.586
Selecting molecule nr.610
Selecting molecule nr.640
Selecting molecule nr.657
Selecting molecule nr.669
Selecting molecule nr.685
Selecting molecule nr.706
Selecting molecule nr.724
Selecting molecule nr.750
Selecting molecule nr.775
Selecting molecule nr.790
Selecting molecule nr.811
Selecting molecule nr.828
Selecting molecule nr.852
Selecting molecule nr.879
Selecting molecule nr.896
Selecting molecule nr.908
Selecting molecule nr.927
Selecting molecule nr.948
Selecting molecule nr.978
Selecting molecule nr.981
done
RandomMS - Select subset of molecules, (C) 2002-2005 ChemAxon Ltd.
Reading input file ace.smiles
Initializing output file hit-test
Initializing output file opt-actives
Selecting molecule nr.2
Selecting molecule nr.5
Selecting molecule nr.7
Selecting molecule nr.10
Selecting molecule nr.13
Selecting molecule nr.17
Selecting molecule nr.19
done
RandomMS - Select subset of molecules, (C) 2002-2005 ChemAxon Ltd.
Reading input file opt-actives
Initializing output file opt-test
Initializing output file opt-query
Selecting molecule nr.2
Selecting molecule nr.4
Selecting molecule nr.6
Selecting molecule nr.7
Selecting molecule nr.10
Selecting molecule nr.12
done
OptimizeMetrics - Molecular Descriptor Dissimilarity Metrics Optimizer 3.1.6,
(C) 2002-2005 ChemAxon Ltd.
Using Minimum hypothesis
Processing started at Wed Jan 24 13:57:50 CET 2007
Optimizing parameters for descriptor CF, metric Tanimotot
Maximal Enrichment reached 5.185185
Number of similar hits 5
Number of target hits 4
Threshold 0.68786126
Optimizing parameters for descriptor CF, metric Tanimotoa (asymmetric)
Maximal Enrichment reached 9.333333
Number of similar hits 5
Number of target hits 0
Threshold 0.27831602
Optimizing parameters for descriptor CF, metric Euclideant
Maximal Enrichment reached 1.7283951
Number of similar hits 5
Number of target hits 22
Threshold 9.380832
Optimizing parameters for descriptor CF, metric Euclideann (normalized)
Maximal Enrichment reached 4.6666665
Number of similar hits 5
Number of target hits 5
Threshold 0.53209555
Optimizing parameters for descriptor CF, metric Euclideana (asymmetric)
Maximal Enrichment reached 9.333333
Number of similar hits 5
Number of target hits 0
Threshold 3.8568122
Optimizing parameters for descriptor PF, metric Tanimotot
Maximal Enrichment reached 1.5053763
Number of similar hits 5
Number of target hits 26
Threshold 0.9221902
Optimizing parameters for descriptor PF, metric Tanimotos (scaled)
Maximal Enrichment reached 1.7948718
Number of similar hits 5
Number of target hits 21
Threshold 0.7437568
Optimizing parameters for descriptor PF, metric Tanimotoa (asymmetric)
Maximal Enrichment reached 9.333333
Number of similar hits 5
Number of target hits 0
Threshold 0.0
Optimizing parameters for descriptor PF, metric Tanimotosa (scaled, asymmetric)
Maximal Enrichment reached 9.333333
Number of similar hits 5
Number of target hits 0
Threshold 0.28300166
Optimizing parameters for descriptor PF, metric Euclideant
Maximal Enrichment reached 1.0181818
Number of similar hits 6
Number of target hits 49
Threshold 104.26888
Optimizing parameters for descriptor PF, metric Euclideann (normalized)
Maximal Enrichment reached 1.2280701
Number of similar hits 5
Number of target hits 33
Threshold 0.8047408
Optimizing parameters for descriptor PF, metric Euclideanwn (weighted, normalized)
Maximal Enrichment reached 3.1111112
Number of similar hits 5
Number of target hits 10
Threshold 0.03730171
Optimizing parameters for descriptor PF, metric Euclideana (asymmetric)
Maximal Enrichment reached 9.333333
Number of similar hits 5
Number of target hits 0
Threshold 0.0
Optimizing parameters for descriptor PF, metric Euclideanwa (weighted, asymmetric)
Maximal Enrichment reached 9.333333
Number of similar hits 5
Number of target hits 0
Threshold 0.0
Optimizing parameters for descriptor PF, metric Euclideanan (asymmetric, normalized)
Maximal Enrichment reached 9.333333
Number of similar hits 5
Number of target hits 0
Threshold 0.0
Optimizing parameters for descriptor PF, metric Euclideanwan (weighted, asymmetric, normalized)
Maximal Enrichment reached 9.333333
Number of similar hits 5
Number of target hits 0
Threshold 0.0
Optimizing parameters for descriptor PF, metric Tanimotot0.7
Maximal Enrichment reached 1.5053763
Number of similar hits 5
Number of target hits 26
Threshold 0.9015895
Optimizing parameters for descriptor PF, metric Tanimotos0.7 (scaled)
Maximal Enrichment reached 1.5555556
Number of similar hits 5
Number of target hits 25
Threshold 0.79437464
Optimizing parameters for descriptor PF, metric Tanimotoa0.7 (asymmetric)
Maximal Enrichment reached 9.333333
Number of similar hits 5
Number of target hits 0
Threshold 0.31416464
Optimizing parameters for descriptor PF, metric Tanimotosa0.7 (scaled, asymmetric)
Maximal Enrichment reached 9.333333
Number of similar hits 5
Number of target hits 0
Threshold 0.14279479
Optimizing parameters for descriptor PF, metric Euclideant0.7
Maximal Enrichment reached 1.0181818
Number of similar hits 6
Number of target hits 49
Threshold 59.224255
Optimizing parameters for descriptor PF, metric Euclideann0.7 (normalized)
Maximal Enrichment reached 1.2962962
Number of similar hits 5
Number of target hits 31
Threshold 0.75422984
Optimizing parameters for descriptor PF, metric Euclideanwn0.7 (weighted, normalized)
Maximal Enrichment reached 4.6666665
Number of similar hits 5
Number of target hits 5
Threshold 0.051405147
Optimizing parameters for descriptor PF, metric Euclideana0.7 (asymmetric)
Maximal Enrichment reached 9.333333
Number of similar hits 6
Number of target hits 0
Threshold 1.6554015
Optimizing parameters for descriptor PF, metric Euclideanwa0.7 (weighted, asymmetric)
Maximal Enrichment reached 9.333333
Number of similar hits 6
Number of target hits 0
Threshold 1.6554017
Optimizing parameters for descriptor PF, metric Euclideanan0.7 (asymmetric, normalized)
Maximal Enrichment reached 9.333333
Number of similar hits 5
Number of target hits 0
Threshold 0.0
Optimizing parameters for descriptor PF, metric Euclideanwan0.7 (weighted, asymmetric, normalized)
Maximal Enrichment reached 9.333333
Number of similar hits 5
Number of target hits 0
Threshold 0.0
Processing finished at Wed Jan 24 13:57:54 CET 2007
HitStatistics - Molecular Descriptor Screening Statistics 3.1.6,
(C) 2002-2005 ChemAxon Ltd.
No metric selected for descriptor PF, using all available metrics.
No metric selected for descriptor PF, using all available metrics.
No metric selected for descriptor CF, using all available metrics.
Processing started at Wed Jan 24 13:57:56 CET 2007
Processing finished at Wed Jan 24 13:58:00 CET 2007
.
. Now the output text file example_statistics.stat
. containing statistics about the performance of screening with the
. parametrized metrics is displayed.
.
Target file name hit-target
Test set file name hit-test
Query file name opt-query
Number of queries 6
Number of test set elements 7
Number of targets 950
Descr Metric Enrichment SelectivityEffectiveness ActiveHitDistribution Threshold Test Hits Target Hits Before actives
PF Tanimoto 1.000 0.500 -1.000 0.200 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Euclidean 1.000 0.500 -1.000 15.000 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Tanimotot 1.000 0.500 -1.000 0.922 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Tanimotos 1.000 0.500 -1.000 0.744 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Tanimotoa 1.000 0.500 -1.000 0.000 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Tanimotosa 1.000 0.500 -1.000 0.283 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Euclideant 1.000 0.500 -1.000 104.269 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Euclideann 1.000 0.500 -1.000 0.805 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Euclideanwn 1.000 0.500 -1.000 0.037 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Euclideana 1.000 0.500 -1.000 0.000 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Euclideanwa 1.000 0.500 -1.000 0.000 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Euclideanan 1.000 0.500 -1.000 0.000 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Euclideanwan 1.000 0.500 -1.000 0.000 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Tanimoto 1.000 0.500 -1.000 0.200 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Euclidean 1.000 0.500 -1.000 15.000 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Tanimotot0.7 1.000 0.500 -1.000 0.902 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Tanimotos0.7 1.000 0.500 -1.000 0.794 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Tanimotoa0.7 1.000 0.500 -1.000 0.314 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Tanimotosa0.7 1.000 0.500 -1.000 0.143 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Euclideant0.7 1.000 0.500 -1.000 59.224 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Euclideann0.7 1.000 0.500 -1.000 0.754 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Euclideanwn0.7 1.000 0.500 -1.000 0.051 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Euclideana0.7 1.000 0.500 -1.000 1.655 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Euclideanwa0.7 1.000 0.500 -1.000 1.655 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Euclideanan0.7 1.000 0.500 -1.000 0.000 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Euclideanwan0.7 1.000 0.500 -1.000 0.000 7 950 950 950, 0, 0, 0, 0, 0, 0
CF Tanimoto 1.000 0.500 -1.000 0.200 7 950 950 950, 0, 0, 0, 0, 0, 0
CF Euclidean 1.000 0.500 -1.000 10.000 7 950 950 950, 0, 0, 0, 0, 0, 0
CF Tanimotot 1.000 0.500 -1.000 0.688 7 950 950 950, 0, 0, 0, 0, 0, 0
CF Tanimotoa 1.000 0.500 -1.000 0.278 7 950 950 950, 0, 0, 0, 0, 0, 0
CF Euclideant 1.000 0.500 -1.000 9.381 7 950 950 950, 0, 0, 0, 0, 0, 0
CF Euclideann 1.000 0.500 -1.000 0.532 7 950 950 950, 0, 0, 0, 0, 0, 0
CF Euclideana 1.000 0.500 -1.000 3.857 7 950 950 950, 0, 0, 0, 0, 0, 0
when I run the example (NCI1000, ACE) of optimize.bat, I got a results with enrichment=1, selectivity=0.5 for all cases. I don't know how to correct it. I even don't know whether the hitstatisctics or optimizemetrics is the origin of this problem. The optimizemetrics itself returns resonable values in the dos prompt.
See the output below. Could you tell me what to do?
Zsolt
.
.
.
. Usage: optimize {target file} {actives file}
. Target and actives can be chosen from the directory
. 'examples\molecules', e.g.:
. optimize nci500.smiles beta2_adrenoceptor_antagonists.smiles
.
.
. This example generates one set of molecular files for parameter
. optimization and evaluation of different parametrized metrics of two
. molecular descriptors (pharmacophore fingerprints and chemical
. fingerprints). Then it performs the optimization of parameters and
. evaluation of the performance of the generated parametrized metrics.
. These metrics are used in screening a set of molecules against a set of
. known actives.
.
.
. Results are written into the file example_statistics.stat.
.
.
RandomMS - Select subset of molecules, (C) 2002-2005 ChemAxon Ltd.
Reading input file nci1000.smiles
Initializing output file opt-target
Initializing output file hit-target
Selecting molecule nr.16
Selecting molecule nr.40
Selecting molecule nr.57
Selecting molecule nr.72
Selecting molecule nr.98
Selecting molecule nr.118
Selecting molecule nr.121
Selecting molecule nr.154
Selecting molecule nr.166
Selecting molecule nr.188
Selecting molecule nr.217
Selecting molecule nr.234
Selecting molecule nr.256
Selecting molecule nr.263
Selecting molecule nr.288
Selecting molecule nr.302
Selecting molecule nr.335
Selecting molecule nr.351
Selecting molecule nr.377
Selecting molecule nr.400
Selecting molecule nr.408
Selecting molecule nr.428
Selecting molecule nr.446
Selecting molecule nr.480
Selecting molecule nr.489
Selecting molecule nr.519
Selecting molecule nr.523
Selecting molecule nr.553
Selecting molecule nr.571
Selecting molecule nr.586
Selecting molecule nr.610
Selecting molecule nr.640
Selecting molecule nr.657
Selecting molecule nr.669
Selecting molecule nr.685
Selecting molecule nr.706
Selecting molecule nr.724
Selecting molecule nr.750
Selecting molecule nr.775
Selecting molecule nr.790
Selecting molecule nr.811
Selecting molecule nr.828
Selecting molecule nr.852
Selecting molecule nr.879
Selecting molecule nr.896
Selecting molecule nr.908
Selecting molecule nr.927
Selecting molecule nr.948
Selecting molecule nr.978
Selecting molecule nr.981
done
RandomMS - Select subset of molecules, (C) 2002-2005 ChemAxon Ltd.
Reading input file ace.smiles
Initializing output file hit-test
Initializing output file opt-actives
Selecting molecule nr.2
Selecting molecule nr.5
Selecting molecule nr.7
Selecting molecule nr.10
Selecting molecule nr.13
Selecting molecule nr.17
Selecting molecule nr.19
done
RandomMS - Select subset of molecules, (C) 2002-2005 ChemAxon Ltd.
Reading input file opt-actives
Initializing output file opt-test
Initializing output file opt-query
Selecting molecule nr.2
Selecting molecule nr.4
Selecting molecule nr.6
Selecting molecule nr.7
Selecting molecule nr.10
Selecting molecule nr.12
done
OptimizeMetrics - Molecular Descriptor Dissimilarity Metrics Optimizer 3.1.6,
(C) 2002-2005 ChemAxon Ltd.
Using Minimum hypothesis
Processing started at Wed Jan 24 13:57:50 CET 2007
Optimizing parameters for descriptor CF, metric Tanimotot
Maximal Enrichment reached 5.185185
Number of similar hits 5
Number of target hits 4
Threshold 0.68786126
Optimizing parameters for descriptor CF, metric Tanimotoa (asymmetric)
Maximal Enrichment reached 9.333333
Number of similar hits 5
Number of target hits 0
Threshold 0.27831602
Optimizing parameters for descriptor CF, metric Euclideant
Maximal Enrichment reached 1.7283951
Number of similar hits 5
Number of target hits 22
Threshold 9.380832
Optimizing parameters for descriptor CF, metric Euclideann (normalized)
Maximal Enrichment reached 4.6666665
Number of similar hits 5
Number of target hits 5
Threshold 0.53209555
Optimizing parameters for descriptor CF, metric Euclideana (asymmetric)
Maximal Enrichment reached 9.333333
Number of similar hits 5
Number of target hits 0
Threshold 3.8568122
Optimizing parameters for descriptor PF, metric Tanimotot
Maximal Enrichment reached 1.5053763
Number of similar hits 5
Number of target hits 26
Threshold 0.9221902
Optimizing parameters for descriptor PF, metric Tanimotos (scaled)
Maximal Enrichment reached 1.7948718
Number of similar hits 5
Number of target hits 21
Threshold 0.7437568
Optimizing parameters for descriptor PF, metric Tanimotoa (asymmetric)
Maximal Enrichment reached 9.333333
Number of similar hits 5
Number of target hits 0
Threshold 0.0
Optimizing parameters for descriptor PF, metric Tanimotosa (scaled, asymmetric)
Maximal Enrichment reached 9.333333
Number of similar hits 5
Number of target hits 0
Threshold 0.28300166
Optimizing parameters for descriptor PF, metric Euclideant
Maximal Enrichment reached 1.0181818
Number of similar hits 6
Number of target hits 49
Threshold 104.26888
Optimizing parameters for descriptor PF, metric Euclideann (normalized)
Maximal Enrichment reached 1.2280701
Number of similar hits 5
Number of target hits 33
Threshold 0.8047408
Optimizing parameters for descriptor PF, metric Euclideanwn (weighted, normalized)
Maximal Enrichment reached 3.1111112
Number of similar hits 5
Number of target hits 10
Threshold 0.03730171
Optimizing parameters for descriptor PF, metric Euclideana (asymmetric)
Maximal Enrichment reached 9.333333
Number of similar hits 5
Number of target hits 0
Threshold 0.0
Optimizing parameters for descriptor PF, metric Euclideanwa (weighted, asymmetric)
Maximal Enrichment reached 9.333333
Number of similar hits 5
Number of target hits 0
Threshold 0.0
Optimizing parameters for descriptor PF, metric Euclideanan (asymmetric, normalized)
Maximal Enrichment reached 9.333333
Number of similar hits 5
Number of target hits 0
Threshold 0.0
Optimizing parameters for descriptor PF, metric Euclideanwan (weighted, asymmetric, normalized)
Maximal Enrichment reached 9.333333
Number of similar hits 5
Number of target hits 0
Threshold 0.0
Optimizing parameters for descriptor PF, metric Tanimotot0.7
Maximal Enrichment reached 1.5053763
Number of similar hits 5
Number of target hits 26
Threshold 0.9015895
Optimizing parameters for descriptor PF, metric Tanimotos0.7 (scaled)
Maximal Enrichment reached 1.5555556
Number of similar hits 5
Number of target hits 25
Threshold 0.79437464
Optimizing parameters for descriptor PF, metric Tanimotoa0.7 (asymmetric)
Maximal Enrichment reached 9.333333
Number of similar hits 5
Number of target hits 0
Threshold 0.31416464
Optimizing parameters for descriptor PF, metric Tanimotosa0.7 (scaled, asymmetric)
Maximal Enrichment reached 9.333333
Number of similar hits 5
Number of target hits 0
Threshold 0.14279479
Optimizing parameters for descriptor PF, metric Euclideant0.7
Maximal Enrichment reached 1.0181818
Number of similar hits 6
Number of target hits 49
Threshold 59.224255
Optimizing parameters for descriptor PF, metric Euclideann0.7 (normalized)
Maximal Enrichment reached 1.2962962
Number of similar hits 5
Number of target hits 31
Threshold 0.75422984
Optimizing parameters for descriptor PF, metric Euclideanwn0.7 (weighted, normalized)
Maximal Enrichment reached 4.6666665
Number of similar hits 5
Number of target hits 5
Threshold 0.051405147
Optimizing parameters for descriptor PF, metric Euclideana0.7 (asymmetric)
Maximal Enrichment reached 9.333333
Number of similar hits 6
Number of target hits 0
Threshold 1.6554015
Optimizing parameters for descriptor PF, metric Euclideanwa0.7 (weighted, asymmetric)
Maximal Enrichment reached 9.333333
Number of similar hits 6
Number of target hits 0
Threshold 1.6554017
Optimizing parameters for descriptor PF, metric Euclideanan0.7 (asymmetric, normalized)
Maximal Enrichment reached 9.333333
Number of similar hits 5
Number of target hits 0
Threshold 0.0
Optimizing parameters for descriptor PF, metric Euclideanwan0.7 (weighted, asymmetric, normalized)
Maximal Enrichment reached 9.333333
Number of similar hits 5
Number of target hits 0
Threshold 0.0
Processing finished at Wed Jan 24 13:57:54 CET 2007
HitStatistics - Molecular Descriptor Screening Statistics 3.1.6,
(C) 2002-2005 ChemAxon Ltd.
No metric selected for descriptor PF, using all available metrics.
No metric selected for descriptor PF, using all available metrics.
No metric selected for descriptor CF, using all available metrics.
Processing started at Wed Jan 24 13:57:56 CET 2007
Processing finished at Wed Jan 24 13:58:00 CET 2007
.
. Now the output text file example_statistics.stat
. containing statistics about the performance of screening with the
. parametrized metrics is displayed.
.
Target file name hit-target
Test set file name hit-test
Query file name opt-query
Number of queries 6
Number of test set elements 7
Number of targets 950
Descr Metric Enrichment SelectivityEffectiveness ActiveHitDistribution Threshold Test Hits Target Hits Before actives
PF Tanimoto 1.000 0.500 -1.000 0.200 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Euclidean 1.000 0.500 -1.000 15.000 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Tanimotot 1.000 0.500 -1.000 0.922 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Tanimotos 1.000 0.500 -1.000 0.744 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Tanimotoa 1.000 0.500 -1.000 0.000 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Tanimotosa 1.000 0.500 -1.000 0.283 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Euclideant 1.000 0.500 -1.000 104.269 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Euclideann 1.000 0.500 -1.000 0.805 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Euclideanwn 1.000 0.500 -1.000 0.037 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Euclideana 1.000 0.500 -1.000 0.000 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Euclideanwa 1.000 0.500 -1.000 0.000 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Euclideanan 1.000 0.500 -1.000 0.000 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Euclideanwan 1.000 0.500 -1.000 0.000 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Tanimoto 1.000 0.500 -1.000 0.200 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Euclidean 1.000 0.500 -1.000 15.000 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Tanimotot0.7 1.000 0.500 -1.000 0.902 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Tanimotos0.7 1.000 0.500 -1.000 0.794 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Tanimotoa0.7 1.000 0.500 -1.000 0.314 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Tanimotosa0.7 1.000 0.500 -1.000 0.143 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Euclideant0.7 1.000 0.500 -1.000 59.224 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Euclideann0.7 1.000 0.500 -1.000 0.754 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Euclideanwn0.7 1.000 0.500 -1.000 0.051 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Euclideana0.7 1.000 0.500 -1.000 1.655 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Euclideanwa0.7 1.000 0.500 -1.000 1.655 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Euclideanan0.7 1.000 0.500 -1.000 0.000 7 950 950 950, 0, 0, 0, 0, 0, 0
PF Euclideanwan0.7 1.000 0.500 -1.000 0.000 7 950 950 950, 0, 0, 0, 0, 0, 0
CF Tanimoto 1.000 0.500 -1.000 0.200 7 950 950 950, 0, 0, 0, 0, 0, 0
CF Euclidean 1.000 0.500 -1.000 10.000 7 950 950 950, 0, 0, 0, 0, 0, 0
CF Tanimotot 1.000 0.500 -1.000 0.688 7 950 950 950, 0, 0, 0, 0, 0, 0
CF Tanimotoa 1.000 0.500 -1.000 0.278 7 950 950 950, 0, 0, 0, 0, 0, 0
CF Euclideant 1.000 0.500 -1.000 9.381 7 950 950 950, 0, 0, 0, 0, 0, 0
CF Euclideann 1.000 0.500 -1.000 0.532 7 950 950 950, 0, 0, 0, 0, 0, 0
CF Euclideana 1.000 0.500 -1.000 3.857 7 950 950 950, 0, 0, 0, 0, 0, 0