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QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4894

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4894

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: CHEMBL4894 (TID: 10190), and it has 66 rows and 61 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.

63 features

pXC50 (target)numeric55 unique values
0 missing
molecule_id (row identifier)nominal66 unique values
0 missing
AMRnumeric59 unique values
0 missing
ATS1enumeric55 unique values
0 missing
ATS1inumeric55 unique values
0 missing
ATS1pnumeric57 unique values
0 missing
ATS1vnumeric58 unique values
0 missing
ATS2enumeric55 unique values
0 missing
ATS2inumeric57 unique values
0 missing
ATS2pnumeric57 unique values
0 missing
ATS2vnumeric58 unique values
0 missing
ATS3enumeric59 unique values
0 missing
ATS3inumeric58 unique values
0 missing
ATS3pnumeric56 unique values
0 missing
ATS3vnumeric57 unique values
0 missing
ATS4enumeric57 unique values
0 missing
ATS4inumeric57 unique values
0 missing
ATS4pnumeric57 unique values
0 missing
ATS5enumeric61 unique values
0 missing
ATS5inumeric58 unique values
0 missing
ATS5pnumeric56 unique values
0 missing
ATS6enumeric58 unique values
0 missing
ATS6inumeric58 unique values
0 missing
ATS7enumeric59 unique values
0 missing
ATS7inumeric57 unique values
0 missing
ATS8enumeric58 unique values
0 missing
ATS8inumeric59 unique values
0 missing
ATSC1inumeric57 unique values
0 missing
ATSC1mnumeric57 unique values
0 missing
ATSC1vnumeric58 unique values
0 missing
ATSC2inumeric59 unique values
0 missing
ATSC2mnumeric59 unique values
0 missing
ATSC2pnumeric59 unique values
0 missing
ATSC2vnumeric59 unique values
0 missing
ATSC3inumeric59 unique values
0 missing
ATSC3mnumeric59 unique values
0 missing
ATSC3pnumeric59 unique values
0 missing
ATSC3vnumeric59 unique values
0 missing
ATSC4mnumeric61 unique values
0 missing
ATSC4vnumeric61 unique values
0 missing
ATSC5inumeric61 unique values
0 missing
ATSC5mnumeric61 unique values
0 missing
ATSC5pnumeric61 unique values
0 missing
ATSC5vnumeric61 unique values
0 missing
ATSC6mnumeric61 unique values
0 missing
ATSC6pnumeric59 unique values
0 missing
ATSC6vnumeric61 unique values
0 missing
ATSC7mnumeric61 unique values
0 missing
ATSC7vnumeric61 unique values
0 missing
ATSC8mnumeric61 unique values
0 missing
ATSC8vnumeric61 unique values
0 missing
CIC0numeric56 unique values
0 missing
CIC1numeric57 unique values
0 missing
CIC2numeric60 unique values
0 missing
Eig11_EA.ri.numeric35 unique values
0 missing
Eig14_EA.ri.numeric35 unique values
0 missing
Eta_alphanumeric54 unique values
0 missing
Eta_Cnumeric64 unique values
0 missing
Eta_C_Anumeric60 unique values
0 missing
Eta_Lnumeric59 unique values
0 missing
H.050numeric20 unique values
0 missing
Hynumeric54 unique values
0 missing
IACnumeric56 unique values
0 missing

62 properties

66
Number of instances (rows) of the dataset.
63
Number of attributes (columns) of the dataset.
0
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
62
Number of numeric attributes.
1
Number of nominal attributes.
Entropy of the target attribute values.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
Second quartile (Median) of entropy among attributes.
0.95
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
-1.53
Second quartile (Median) of kurtosis among attributes of the numeric type.
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
-0.34
Mean skewness among attributes of the numeric type.
6.52
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
30.23
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
-0.27
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-1.71
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
1.79
Second quartile (Median) of standard deviation of attributes of the numeric type.
-0.91
Maximum kurtosis among attributes of the numeric type.
1.6
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
402.09
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
0
Percentage of missing values.
-1.48
Third quartile of kurtosis among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
The minimal number of distinct values among attributes of the nominal type.
98.41
Percentage of numeric attributes.
63.56
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-0.78
Minimum skewness among attributes of the numeric type.
1.59
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
0.17
Maximum skewness among attributes of the numeric type.
0.54
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
-0.19
Third quartile of skewness among attributes of the numeric type.
222.1
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
-1.59
First quartile of kurtosis among attributes of the numeric type.
37.92
Third quartile of standard deviation of attributes of the numeric type.
Average entropy of the attributes.
Number of instances belonging to the least frequent class.
5.27
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
-1.51
Mean kurtosis among attributes of the numeric type.
0
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
50.65
Mean of means among attributes of the numeric type.
-0.52
First quartile of skewness among attributes of the numeric type.
-0.14
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
0.83
First quartile of standard deviation of attributes of the numeric type.

12 tasks

2 runs - estimation_procedure: Custom 10-fold Crossvalidation - target_feature: pXC50
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
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