Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4824

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4824

deactivated ARFF Publicly available Visibility: public Uploaded 15-07-2016 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: CHEMBL4824 (TID: 10275), and it has 129 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)numeric44 unique values
0 missing
molecule_id (row identifier)nominal129 unique values
0 missing
SaaCHnumeric124 unique values
0 missing
CATS2D_05_DAnumeric7 unique values
0 missing
MATS7pnumeric110 unique values
0 missing
ATSC8vnumeric125 unique values
0 missing
AMWnumeric90 unique values
0 missing
GATS7vnumeric116 unique values
0 missing
AACnumeric85 unique values
0 missing
IC0numeric85 unique values
0 missing
ATSC8inumeric121 unique values
0 missing
SpMin4_Bh.e.numeric83 unique values
0 missing
GATS5enumeric108 unique values
0 missing
MATS5enumeric100 unique values
0 missing
ON1Vnumeric104 unique values
0 missing
Eta_sh_pnumeric85 unique values
0 missing
ATS7inumeric118 unique values
0 missing
ATS8enumeric116 unique values
0 missing
SIC2numeric83 unique values
0 missing
BIC2numeric79 unique values
0 missing
ATS3enumeric104 unique values
0 missing
SpMin4_Bh.v.numeric86 unique values
0 missing
CATS2D_01_LLnumeric14 unique values
0 missing
SpMax6_Bh.e.numeric100 unique values
0 missing
SpMax6_Bh.i.numeric92 unique values
0 missing
SpMin4_Bh.p.numeric79 unique values
0 missing
ATS3inumeric108 unique values
0 missing
Sinumeric96 unique values
0 missing
ATS7vnumeric113 unique values
0 missing
GATS7pnumeric110 unique values
0 missing
GATS7inumeric113 unique values
0 missing
CATS2D_06_LLnumeric15 unique values
0 missing
SpMin4_Bh.m.numeric80 unique values
0 missing
ATS2enumeric97 unique values
0 missing
ATS2inumeric99 unique values
0 missing
ATS4inumeric109 unique values
0 missing
Senumeric96 unique values
0 missing
SpMin4_Bh.s.numeric75 unique values
0 missing
SpMin3_Bh.i.numeric73 unique values
0 missing
SpMin3_Bh.p.numeric94 unique values
0 missing
nHMnumeric5 unique values
0 missing
SpMin3_Bh.m.numeric75 unique values
0 missing
Eig14_AEA.dm.numeric84 unique values
0 missing
MATS7inumeric111 unique values
0 missing
SpMin3_Bh.e.numeric76 unique values
0 missing
JGI4numeric31 unique values
0 missing
ATS6enumeric118 unique values
0 missing
GATS4mnumeric103 unique values
0 missing
CIC2numeric108 unique values
0 missing
GNarnumeric55 unique values
0 missing
X0Anumeric42 unique values
0 missing
SpMax4_Bh.e.numeric79 unique values
0 missing
SpMax4_Bh.i.numeric79 unique values
0 missing
SpMax4_Bh.v.numeric89 unique values
0 missing
SpMax5_Bh.i.numeric88 unique values
0 missing
ATS7enumeric114 unique values
0 missing
ATS8inumeric116 unique values
0 missing
SpMax6_Bh.v.numeric103 unique values
0 missing
MATS7vnumeric106 unique values
0 missing
CENTnumeric85 unique values
0 missing
SIC0numeric67 unique values
0 missing
IC1numeric103 unique values
0 missing
ATSC7inumeric119 unique values
0 missing
SpMax1_Bh.m.numeric66 unique values
0 missing
ATS8pnumeric120 unique values
0 missing
ATS4enumeric112 unique values
0 missing
SssOnumeric70 unique values
0 missing
Show all 67 features

62 properties

NumberOfInstances
129
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.
MaxSkewnessOfNumericAtts
2
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
0.37
Third quartile of skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
713.01
Maximum standard deviation of attributes of the numeric type.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
Quartile1KurtosisOfNumericAtts
-1.31
First quartile of kurtosis among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
0.39
Third quartile of standard deviation of attributes of the numeric type.
MeanAttributeEntropy
Average entropy of the attributes.
MinorityClassSize
Number of instances belonging to the least frequent class.
Quartile1MeansOfNumericAtts
1.12
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
-0.57
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
26.44
Mean of means among attributes of the numeric type.
Quartile1SkewnessOfNumericAtts
-0.3
First quartile of skewness among attributes of the numeric type.
MeanMutualInformation
Average mutual information between the nominal attributes and the target attribute.
Quartile1StdDevOfNumericAtts
0.15
First quartile of standard deviation of attributes of the numeric type.
AutoCorrelation
0.05
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
-0.92
Second quartile (Median) of kurtosis among attributes of the numeric type.
Dimensionality
0.52
Number of attributes divided by the number of instances.
MeanSkewnessOfNumericAtts
0.13
Mean skewness among attributes of the numeric type.
Quartile2MeansOfNumericAtts
2.51
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.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
MeanStdDevOfNumericAtts
11.74
Mean standard deviation of attributes of the numeric type.
Quartile2MutualInformation
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
MajorityClassSize
Number of instances belonging to the most frequent class.
MinAttributeEntropy
Minimal entropy among attributes.
Quartile2SkewnessOfNumericAtts
-0.12
Second quartile (Median) of skewness among attributes of the numeric type.
MaxAttributeEntropy
Maximum entropy among attributes.
MinKurtosisOfNumericAtts
-1.7
Minimum kurtosis among attributes of the numeric type.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
Quartile2StdDevOfNumericAtts
0.23
Second quartile (Median) of standard deviation of attributes of the numeric type.
MaxKurtosisOfNumericAtts
4.38
Maximum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
-0.15
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
1449.74
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
-0.32
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
4.82
Third quartile of means among attributes of the numeric type.
MaxNominalAttDistinctValues
The maximum number of distinct values among attributes of the nominal type.
MinSkewnessOfNumericAtts
-0.61
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.
Show all 62 properties

12 tasks

Supervised Regression on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4824
2 runs - estimation_procedure: Custom 10-fold Crossvalidation - target_feature: pXC50
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4824
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4824
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4824
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4824
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4824
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4824
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4824
0 runs
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4824
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4824
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4824
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4824
0 runs - estimation_procedure: 50 times Clustering
Define a new task