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QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5659

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5659

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: CHEMBL5659 (TID: 101278), and it has 79 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)numeric22 unique values
0 missing
molecule_id (row identifier)nominal79 unique values
0 missing
Eig02_AEA.dm.numeric77 unique values
0 missing
AACnumeric73 unique values
0 missing
AECCnumeric79 unique values
0 missing
ALOGPnumeric79 unique values
0 missing
ALOGP2numeric79 unique values
0 missing
AMRnumeric79 unique values
0 missing
AMWnumeric75 unique values
0 missing
ARRnumeric63 unique values
0 missing
ATS1enumeric76 unique values
0 missing
ATS1inumeric74 unique values
0 missing
ATS1mnumeric74 unique values
0 missing
ATS1pnumeric74 unique values
0 missing
ATS1snumeric74 unique values
0 missing
ATS1vnumeric73 unique values
0 missing
ATS2enumeric72 unique values
0 missing
ATS2inumeric76 unique values
0 missing
ATS2mnumeric77 unique values
0 missing
ATS2pnumeric75 unique values
0 missing
ATS2snumeric79 unique values
0 missing
ATS2vnumeric78 unique values
0 missing
ATS3enumeric78 unique values
0 missing
ATS3inumeric75 unique values
0 missing
ATS3mnumeric75 unique values
0 missing
ATS3pnumeric76 unique values
0 missing
ATS3snumeric73 unique values
0 missing
ATS3vnumeric76 unique values
0 missing
ATS4enumeric76 unique values
0 missing
ATS4inumeric79 unique values
0 missing
ATS4mnumeric74 unique values
0 missing
ATS4pnumeric75 unique values
0 missing
ATS4snumeric78 unique values
0 missing
ATS4vnumeric78 unique values
0 missing
ATS5enumeric77 unique values
0 missing
ATS5inumeric77 unique values
0 missing
ATS5mnumeric77 unique values
0 missing
ATS5pnumeric77 unique values
0 missing
ATS5snumeric78 unique values
0 missing
ATS5vnumeric77 unique values
0 missing
ATS6enumeric75 unique values
0 missing
ATS6inumeric76 unique values
0 missing
ATS6mnumeric75 unique values
0 missing
ATS6pnumeric78 unique values
0 missing
ATS6snumeric76 unique values
0 missing
ATS6vnumeric76 unique values
0 missing
ATS7enumeric77 unique values
0 missing
ATS7inumeric76 unique values
0 missing
ATS7mnumeric78 unique values
0 missing
ATS7pnumeric78 unique values
0 missing
ATS7snumeric77 unique values
0 missing
ATS7vnumeric77 unique values
0 missing
ATS8enumeric76 unique values
0 missing
ATS8inumeric78 unique values
0 missing
ATS8mnumeric78 unique values
0 missing
ATS8pnumeric78 unique values
0 missing
ATS8snumeric78 unique values
0 missing
ATS8vnumeric77 unique values
0 missing
ATSC1enumeric69 unique values
0 missing
ATSC1inumeric74 unique values
0 missing
ATSC1mnumeric77 unique values
0 missing
ATSC1pnumeric78 unique values
0 missing
ATSC1snumeric79 unique values
0 missing
ATSC1vnumeric78 unique values
0 missing
ATSC2enumeric71 unique values
0 missing
ATSC2inumeric76 unique values
0 missing
ATSC2mnumeric78 unique values
0 missing
Show all 67 features

62 properties

NumberOfInstances
79
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
4.03
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
0.26
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
6.9
Mean of means among attributes of the numeric type.
Quartile1SkewnessOfNumericAtts
0.02
First quartile of skewness among attributes of the numeric type.
MeanMutualInformation
Average mutual information between the nominal attributes and the target attribute.
Quartile1StdDevOfNumericAtts
0.24
First quartile of standard deviation of attributes of the numeric type.
AutoCorrelation
0.41
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
-0.18
Second quartile (Median) of kurtosis among attributes of the numeric type.
Dimensionality
0.85
Number of attributes divided by the number of instances.
MeanSkewnessOfNumericAtts
0.33
Mean skewness among attributes of the numeric type.
Quartile2MeansOfNumericAtts
4.22
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
1.19
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
0.24
Second quartile (Median) of skewness among attributes of the numeric type.
MajorityClassSize
Number of instances belonging to the most frequent class.
MinKurtosisOfNumericAtts
-1.07
Minimum kurtosis among attributes of the numeric type.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
Quartile2StdDevOfNumericAtts
0.32
Second quartile (Median) of standard deviation of attributes of the numeric type.
MaxAttributeEntropy
Maximum entropy among attributes.
MaxKurtosisOfNumericAtts
7.79
Maximum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
0.11
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
122.72
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
0.3
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
5.27
Third quartile of means among attributes of the numeric type.
MaxNominalAttDistinctValues
The maximum number of distinct values among attributes of the nominal type.
MinSkewnessOfNumericAtts
-1.05
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
2.54
Maximum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
0.08
Minimum standard deviation of attributes of the numeric type.
Quartile1AttributeEntropy
First quartile of entropy among attributes.
Quartile3SkewnessOfNumericAtts
0.47
Third quartile of skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
22.68
Maximum standard deviation of attributes of the numeric type.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
Quartile1KurtosisOfNumericAtts
-0.56
First quartile of kurtosis among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
0.38
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-CHEMBL5659
2 runs - estimation_procedure: Custom 10-fold Crossvalidation - target_feature: pXC50
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5659
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5659
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5659
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5659
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5659
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5659
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5659
0 runs
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5659
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5659
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5659
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5659
0 runs - estimation_procedure: 50 times Clustering
Define a new task