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QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4600

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4600

deactivated ARFF Publicly available Visibility: public Uploaded 15-07-2016 by unknown
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This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target ChEMBL_ID: CHEMBL4600 (TID: 30025), and it has 813 rows and 69 features (not including molecule IDs and class feature: molecule_id and pXC50). The features represent Molecular Descriptors which were generated from SMILES strings. Missing value imputation was applied to this dataset (By choosing the Median). Feature selection was also applied.

71 features

pXC50 (target)numeric47 unique values
0 missing
Eig12_AEA.dm.numeric524 unique values
0 missing
SpMin8_Bh.v.numeric425 unique values
0 missing
Eig06_AEA.ed.numeric568 unique values
0 missing
SpMaxA_EAnumeric126 unique values
0 missing
SpMax6_Bh.i.numeric444 unique values
0 missing
Eig15_AEA.bo.numeric518 unique values
0 missing
SM05_AEA.dm.numeric485 unique values
0 missing
Eig11_EAnumeric485 unique values
0 missing
Eig13_AEA.dm.numeric551 unique values
0 missing
ATS1vnumeric506 unique values
0 missing
Chi1_EA.dm.numeric703 unique values
0 missing
Eig12_EA.ri.numeric566 unique values
0 missing
Eig12_AEA.ri.numeric561 unique values
0 missing
SM15_AEA.dm.numeric663 unique values
0 missing
Eig06_EA.ed.numeric663 unique values
0 missing
SM04_AEA.dm.numeric496 unique values
0 missing
Eig10_EAnumeric496 unique values
0 missing
SpMax6_Bh.p.numeric444 unique values
0 missing
ATS1pnumeric508 unique values
0 missing
Chi0_EA.ed.numeric705 unique values
0 missing
SpMax6_Bh.v.numeric447 unique values
0 missing
SpMax8_Bh.i.numeric443 unique values
0 missing
SpMaxA_AEA.ed.numeric218 unique values
0 missing
Chi0_EA.dm.numeric691 unique values
0 missing
ZM2Madnumeric788 unique values
0 missing
nATnumeric68 unique values
0 missing
ISIZnumeric68 unique values
0 missing
Eig11_EA.ed.numeric543 unique values
0 missing
SpMax8_Bh.v.numeric452 unique values
0 missing
ATS2pnumeric535 unique values
0 missing
ATS2mnumeric529 unique values
0 missing
Eig11_EA.ri.numeric526 unique values
0 missing
Eig11_AEA.ri.numeric550 unique values
0 missing
Eig11_AEA.bo.numeric494 unique values
0 missing
SM06_AEA.ri.numeric543 unique values
0 missing
X1vnumeric755 unique values
0 missing
X0vnumeric735 unique values
0 missing
Spnumeric692 unique values
0 missing
Eig11_AEA.dm.numeric510 unique values
0 missing
TIC2numeric728 unique values
0 missing
SpMax8_Bh.m.numeric465 unique values
0 missing
XMODnumeric775 unique values
0 missing
X2solnumeric690 unique values
0 missing
X0solnumeric468 unique values
0 missing
SpMax6_Bh.m.numeric503 unique values
0 missing
AMRnumeric777 unique values
0 missing
ATS1mnumeric514 unique values
0 missing
MWnumeric716 unique values
0 missing
Svnumeric726 unique values
0 missing
SpMax8_Bh.p.numeric434 unique values
0 missing
X1solnumeric631 unique values
0 missing
Vxnumeric687 unique values
0 missing
VvdwMGnumeric687 unique values
0 missing
TIC1numeric744 unique values
0 missing
X3solnumeric701 unique values
0 missing
ATS1enumeric526 unique values
0 missing
Eig15_AEA.ri.numeric602 unique values
0 missing
TIC4numeric596 unique values
0 missing
SM09_AEA.dm.numeric518 unique values
0 missing
Eig15_EA.ri.numeric619 unique values
0 missing
Eig15_EA.bo.numeric578 unique values
0 missing
Eig15_EAnumeric518 unique values
0 missing
molecule_id (row identifier)nominal813 unique values
0 missing
Eta_alphanumeric504 unique values
0 missing
TIC5numeric592 unique values
0 missing
TIC3numeric627 unique values
0 missing
VvdwZAZnumeric736 unique values
0 missing
SM10_AEA.ri.numeric601 unique values
0 missing
Eig15_EA.ed.numeric601 unique values
0 missing
SpMax6_Bh.e.numeric465 unique values
0 missing
Show all 71 features

62 properties

NumberOfInstances
813
Number of instances (rows) of the dataset.
NumberOfFeatures
71
Number of attributes (columns) of the dataset.
NumberOfClasses
0
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
70
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
Quartile1MutualInformation
First quartile of mutual information between the nominal attributes and the target attribute.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
PercentageOfNumericFeatures
98.59
Percentage of numeric attributes.
PercentageOfSymbolicFeatures
1.41
Percentage of nominal attributes.
Quartile1AttributeEntropy
First quartile of entropy among attributes.
Quartile1KurtosisOfNumericAtts
0.03
First quartile of kurtosis among attributes of the numeric type.
Quartile1MeansOfNumericAtts
0.91
First quartile of means among attributes of the numeric type.
StdvNominalAttDistinctValues
Standard deviation of the number of distinct values among attributes of the nominal type.
Quartile1SkewnessOfNumericAtts
-0.8
First quartile of skewness among attributes of the numeric type.
Quartile1StdDevOfNumericAtts
0.31
First quartile of standard deviation of attributes of the numeric type.
Quartile2AttributeEntropy
Second quartile (Median) of entropy among attributes.
Quartile2KurtosisOfNumericAtts
0.6
Second quartile (Median) of kurtosis among attributes of the numeric type.
Quartile2MeansOfNumericAtts
3.47
Second quartile (Median) of means among attributes of the numeric type.
Quartile2MutualInformation
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Quartile2SkewnessOfNumericAtts
0.03
Second quartile (Median) of skewness among attributes of the numeric type.
Quartile2StdDevOfNumericAtts
0.75
Second quartile (Median) of standard deviation of attributes of the numeric type.
Quartile3AttributeEntropy
Third quartile of entropy among attributes.
Quartile3KurtosisOfNumericAtts
1.43
Third quartile of kurtosis among attributes of the numeric type.
Quartile3MeansOfNumericAtts
20.01
Third quartile of means among attributes of the numeric type.
Quartile3MutualInformation
Third quartile of mutual information between the nominal attributes and the target attribute.
Quartile3SkewnessOfNumericAtts
0.65
Third quartile of skewness among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
7.52
Third quartile of standard deviation of attributes of the numeric type.
AutoCorrelation
0.82
Average class difference between consecutive instances.
MeanMeansOfNumericAtts
48.5
Mean of means among attributes of the numeric type.
ClassEntropy
Entropy of the target attribute values.
Dimensionality
0.09
Number of attributes divided by the number of instances.
EquivalentNumberOfAtts
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
MajorityClassSize
Number of instances belonging to the most frequent class.
MaxAttributeEntropy
Maximum entropy among attributes.
MaxKurtosisOfNumericAtts
34.63
Maximum kurtosis among attributes of the numeric type.
MaxMeansOfNumericAtts
453.12
Maximum of means among attributes of the numeric type.
MaxMutualInformation
Maximum mutual information between the nominal attributes and the target attribute.
MaxNominalAttDistinctValues
The maximum number of distinct values among attributes of the nominal type.
MaxSkewnessOfNumericAtts
5.24
Maximum skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
108.08
Maximum standard deviation of attributes of the numeric type.
MeanAttributeEntropy
Average entropy of the attributes.
MeanKurtosisOfNumericAtts
1.42
Mean kurtosis among attributes of the numeric type.
NumberOfBinaryFeatures
0
Number of binary attributes.
MeanMutualInformation
Average mutual information between the nominal attributes and the target attribute.
MeanNoiseToSignalRatio
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
MeanNominalAttDistinctValues
Average number of distinct values among the attributes of the nominal type.
MeanSkewnessOfNumericAtts
0
Mean skewness among attributes of the numeric type.
MeanStdDevOfNumericAtts
13.41
Mean standard deviation of attributes of the numeric type.
MinAttributeEntropy
Minimal entropy among attributes.
MinKurtosisOfNumericAtts
-0.64
Minimum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
-0.94
Minimum of means among attributes of the numeric type.
MinMutualInformation
Minimal mutual information between the nominal attributes and the target attribute.
MinNominalAttDistinctValues
The minimal number of distinct values among attributes of the nominal type.
MinSkewnessOfNumericAtts
-1.74
Minimum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
0.03
Minimum standard deviation of attributes of the numeric type.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MinorityClassSize
Number of instances belonging to the least frequent class.
Show all 62 properties

12 tasks

Supervised Regression on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4600
2 runs - estimation_procedure: Custom 10-fold Crossvalidation - target_feature: pXC50
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4600
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4600
0 runs
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4600
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4600
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4600
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4600
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4600
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4600
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4600
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4600
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4600
0 runs - estimation_procedure: 50 times Clustering
Define a new task