Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5282

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5282

deactivated ARFF Publicly available Visibility: public Uploaded 14-07-2016 by Noureddin Sadawi
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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: CHEMBL5282 (TID: 20073), and it has 164 rows and 65 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.

67 features

pXC50 (target)numeric105 unique values
0 missing
molecule_id (row identifier)nominal164 unique values
0 missing
SssOnumeric38 unique values
0 missing
C.019numeric2 unique values
0 missing
Inflammat.50numeric2 unique values
0 missing
CATS2D_06_LLnumeric15 unique values
0 missing
SpDiam_AEA.ed.numeric87 unique values
0 missing
Eig01_AEA.ri.numeric130 unique values
0 missing
SpMax_AEA.ri.numeric130 unique values
0 missing
SpDiam_AEA.ri.numeric129 unique values
0 missing
NdssCnumeric4 unique values
0 missing
CATS2D_04_ALnumeric16 unique values
0 missing
Eig01_EA.ri.numeric137 unique values
0 missing
SpMax_EA.ri.numeric137 unique values
0 missing
SM14_EA.ri.numeric158 unique values
0 missing
SM13_EA.ri.numeric159 unique values
0 missing
SM15_EA.ri.numeric156 unique values
0 missing
SpDiam_EA.ri.numeric139 unique values
0 missing
IDDEnumeric76 unique values
0 missing
SpDiam_EA.ed.numeric89 unique values
0 missing
Eig01_AEA.ed.numeric80 unique values
0 missing
Eig01_EA.ed.numeric88 unique values
0 missing
SM10_AEA.dm.numeric88 unique values
0 missing
SpMax_AEA.ed.numeric80 unique values
0 missing
SpMax_EA.ed.numeric88 unique values
0 missing
C.039numeric2 unique values
0 missing
nArCOnumeric2 unique values
0 missing
Eig01_EAnumeric87 unique values
0 missing
SM09_AEA.bo.numeric87 unique values
0 missing
SpDiam_EAnumeric87 unique values
0 missing
SpMax_EAnumeric87 unique values
0 missing
D.Dtr10numeric34 unique values
0 missing
SpMin1_Bh.v.numeric98 unique values
0 missing
IC4numeric90 unique values
0 missing
IC5numeric89 unique values
0 missing
GGI4numeric73 unique values
0 missing
SM07_EA.ed.numeric91 unique values
0 missing
SM08_EA.ed.numeric92 unique values
0 missing
SM12_AEA.ed.numeric90 unique values
0 missing
SM13_AEA.ed.numeric88 unique values
0 missing
SM14_AEA.ed.numeric90 unique values
0 missing
MWC09numeric90 unique values
0 missing
MWC10numeric86 unique values
0 missing
TWCnumeric90 unique values
0 missing
ATS4enumeric141 unique values
0 missing
X3Anumeric40 unique values
0 missing
SM11_EA.ri.numeric153 unique values
0 missing
SM12_EA.ri.numeric158 unique values
0 missing
SM11_EA.ed.numeric92 unique values
0 missing
SM12_EA.ed.numeric92 unique values
0 missing
SM13_EA.ed.numeric90 unique values
0 missing
SM14_EA.ed.numeric91 unique values
0 missing
SM15_EA.ed.numeric92 unique values
0 missing
SM14_EAnumeric91 unique values
0 missing
SM15_EAnumeric92 unique values
0 missing
ATS4snumeric149 unique values
0 missing
MPC06numeric59 unique values
0 missing
MPC08numeric56 unique values
0 missing
MPC09numeric56 unique values
0 missing
SpMin1_Bh.p.numeric99 unique values
0 missing
ATSC5pnumeric154 unique values
0 missing
SM10_EA.ri.numeric154 unique values
0 missing
MPC07numeric61 unique values
0 missing
SM05_EA.ed.numeric84 unique values
0 missing
Eta_sh_ynumeric85 unique values
0 missing
ATSC6snumeric157 unique values
0 missing
SM09_EA.ed.numeric90 unique values
0 missing
Show all 67 features

62 properties

NumberOfInstances
164
Number of instances (rows) of the dataset.
NumberOfFeatures
67
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
66
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
MeanAttributeEntropy
Average entropy of the attributes.
MinorityClassSize
Number of instances belonging to the least frequent class.
Quartile1MeansOfNumericAtts
2.99
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.
MeanKurtosisOfNumericAtts
2.31
Mean kurtosis among attributes of the numeric type.
NumberOfBinaryFeatures
0
Number of binary attributes.
Quartile1MutualInformation
First quartile of mutual information between the nominal attributes and the target attribute.
MeanMeansOfNumericAtts
9.71
Mean of means among attributes of the numeric type.
Quartile1SkewnessOfNumericAtts
-0.26
First quartile of skewness among attributes of the numeric type.
MeanMutualInformation
Average mutual information between the nominal attributes and the target attribute.
Quartile1StdDevOfNumericAtts
0.32
First quartile of standard deviation of attributes of the numeric type.
AutoCorrelation
0.25
Average class difference between consecutive instances.
MeanNoiseToSignalRatio
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
Quartile2AttributeEntropy
Second quartile (Median) of entropy among attributes.
ClassEntropy
Entropy of the target attribute values.
MeanNominalAttDistinctValues
Average number of distinct values among the attributes of the nominal type.
Quartile2KurtosisOfNumericAtts
1.28
Second quartile (Median) of kurtosis among attributes of the numeric type.
Dimensionality
0.41
Number of attributes divided by the number of instances.
MeanSkewnessOfNumericAtts
0.4
Mean skewness among attributes of the numeric type.
Quartile2MeansOfNumericAtts
5.07
Second quartile (Median) of means among attributes of the numeric type.
EquivalentNumberOfAtts
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
MeanStdDevOfNumericAtts
2.3
Mean standard deviation of attributes of the numeric type.
Quartile2MutualInformation
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
MinAttributeEntropy
Minimal entropy among attributes.
Quartile2SkewnessOfNumericAtts
0.04
Second quartile (Median) of skewness among attributes of the numeric type.
MajorityClassSize
Number of instances belonging to the most frequent class.
MinKurtosisOfNumericAtts
-0.45
Minimum kurtosis among attributes of the numeric type.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
Quartile2StdDevOfNumericAtts
0.8
Second quartile (Median) of standard deviation of attributes of the numeric type.
MaxAttributeEntropy
Maximum entropy among attributes.
MaxKurtosisOfNumericAtts
24.46
Maximum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
0.1
Minimum of means among attributes of the numeric type.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
Quartile3AttributeEntropy
Third quartile of entropy among attributes.
MaxMeansOfNumericAtts
34.03
Maximum of means among attributes of the numeric type.
MinMutualInformation
Minimal mutual information between the nominal attributes and the target attribute.
PercentageOfMissingValues
0
Percentage of missing values.
Quartile3KurtosisOfNumericAtts
2.46
Third quartile of kurtosis among attributes of the numeric type.
MaxMutualInformation
Maximum mutual information between the nominal attributes and the target attribute.
MinNominalAttDistinctValues
The minimal number of distinct values among attributes of the nominal type.
PercentageOfNumericFeatures
98.51
Percentage of numeric attributes.
Quartile3MeansOfNumericAtts
15.54
Third quartile of means among attributes of the numeric type.
MaxNominalAttDistinctValues
The maximum number of distinct values among attributes of the nominal type.
MinSkewnessOfNumericAtts
-0.93
Minimum skewness among attributes of the numeric type.
PercentageOfSymbolicFeatures
1.49
Percentage of nominal attributes.
Quartile3MutualInformation
Third quartile of mutual information between the nominal attributes and the target attribute.
MaxSkewnessOfNumericAtts
3.97
Maximum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
0.01
Minimum standard deviation of attributes of the numeric type.
Quartile1AttributeEntropy
First quartile of entropy among attributes.
Quartile3SkewnessOfNumericAtts
0.49
Third quartile of skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
61.18
Maximum standard deviation of attributes of the numeric type.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
Quartile1KurtosisOfNumericAtts
0.84
First quartile of kurtosis among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
1.32
Third quartile of standard deviation of attributes of the numeric type.
Show all 62 properties

12 tasks

Supervised Regression on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5282
2 runs - estimation_procedure: Custom 10-fold Crossvalidation - target_feature: pXC50
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5282
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5282
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5282
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5282
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5282
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5282
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5282
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5282
0 runs
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5282
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5282
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5282
0 runs - estimation_procedure: 50 times Clustering
Define a new task