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QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4598

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4598

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: CHEMBL4598 (TID: 30024), and it has 84 rows and 130 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.

132 features

pXC50 (target)numeric26 unique values
0 missing
molecule_id (row identifier)nominal84 unique values
0 missing
P_VSA_MR_7numeric45 unique values
0 missing
AACnumeric76 unique values
0 missing
AECCnumeric83 unique values
0 missing
ALOGPnumeric83 unique values
0 missing
ALOGP2numeric83 unique values
0 missing
AMRnumeric83 unique values
0 missing
AMWnumeric79 unique values
0 missing
ARRnumeric67 unique values
0 missing
ATS1enumeric77 unique values
0 missing
ATS1inumeric78 unique values
0 missing
ATS1mnumeric78 unique values
0 missing
ATS1pnumeric78 unique values
0 missing
ATS1snumeric78 unique values
0 missing
ATS1vnumeric77 unique values
0 missing
ATS2enumeric76 unique values
0 missing
ATS2inumeric79 unique values
0 missing
ATS2mnumeric80 unique values
0 missing
ATS2pnumeric79 unique values
0 missing
ATS2snumeric83 unique values
0 missing
ATS2vnumeric82 unique values
0 missing
ATS3enumeric82 unique values
0 missing
ATS3inumeric79 unique values
0 missing
ATS3mnumeric79 unique values
0 missing
ATS3pnumeric78 unique values
0 missing
ATS3snumeric77 unique values
0 missing
ATS3vnumeric80 unique values
0 missing
ATS4enumeric80 unique values
0 missing
ATS4inumeric82 unique values
0 missing
ATS4mnumeric77 unique values
0 missing
ATS4pnumeric79 unique values
0 missing
ATS4snumeric82 unique values
0 missing
ATS4vnumeric82 unique values
0 missing
ATS5enumeric81 unique values
0 missing
ATS5inumeric81 unique values
0 missing
ATS5mnumeric81 unique values
0 missing
ATS5pnumeric81 unique values
0 missing
ATS5snumeric81 unique values
0 missing
ATS5vnumeric80 unique values
0 missing
ATS6enumeric79 unique values
0 missing
ATS6inumeric80 unique values
0 missing
ATS6mnumeric79 unique values
0 missing
ATS6pnumeric81 unique values
0 missing
ATS6snumeric80 unique values
0 missing
ATS6vnumeric80 unique values
0 missing
ATS7enumeric81 unique values
0 missing
ATS7inumeric80 unique values
0 missing
ATS7mnumeric82 unique values
0 missing
ATS7pnumeric82 unique values
0 missing
ATS7snumeric80 unique values
0 missing
ATS7vnumeric81 unique values
0 missing
ATS8enumeric80 unique values
0 missing
ATS8inumeric82 unique values
0 missing
ATS8mnumeric81 unique values
0 missing
ATS8pnumeric82 unique values
0 missing
ATS8snumeric82 unique values
0 missing
ATS8vnumeric80 unique values
0 missing
ATSC1enumeric71 unique values
0 missing
ATSC1inumeric77 unique values
0 missing
ATSC1mnumeric81 unique values
0 missing
ATSC1pnumeric82 unique values
0 missing
ATSC1snumeric83 unique values
0 missing
ATSC1vnumeric82 unique values
0 missing
ATSC2enumeric75 unique values
0 missing
ATSC2inumeric79 unique values
0 missing
ATSC2mnumeric82 unique values
0 missing
ATSC2pnumeric82 unique values
0 missing
ATSC2snumeric83 unique values
0 missing
ATSC2vnumeric83 unique values
0 missing
ATSC3enumeric81 unique values
0 missing
ATSC3inumeric81 unique values
0 missing
ATSC3mnumeric83 unique values
0 missing
ATSC3pnumeric82 unique values
0 missing
ATSC3snumeric83 unique values
0 missing
ATSC3vnumeric82 unique values
0 missing
ATSC4enumeric78 unique values
0 missing
ATSC4inumeric80 unique values
0 missing
ATSC4mnumeric83 unique values
0 missing
ATSC4pnumeric83 unique values
0 missing
ATSC4snumeric83 unique values
0 missing
ATSC4vnumeric83 unique values
0 missing
ATSC5enumeric82 unique values
0 missing
ATSC5inumeric82 unique values
0 missing
ATSC5mnumeric83 unique values
0 missing
ATSC5pnumeric83 unique values
0 missing
ATSC5snumeric83 unique values
0 missing
ATSC5vnumeric83 unique values
0 missing
ATSC6enumeric82 unique values
0 missing
ATSC6inumeric81 unique values
0 missing
ATSC6mnumeric83 unique values
0 missing
ATSC6pnumeric82 unique values
0 missing
ATSC6snumeric83 unique values
0 missing
ATSC6vnumeric83 unique values
0 missing
ATSC7enumeric81 unique values
0 missing
ATSC7inumeric81 unique values
0 missing
ATSC7mnumeric83 unique values
0 missing
ATSC7pnumeric82 unique values
0 missing
ATSC7snumeric83 unique values
0 missing
ATSC7vnumeric83 unique values
0 missing
ATSC8enumeric82 unique values
0 missing
ATSC8inumeric80 unique values
0 missing
ATSC8mnumeric83 unique values
0 missing
ATSC8pnumeric83 unique values
0 missing
ATSC8snumeric83 unique values
0 missing
ATSC8vnumeric83 unique values
0 missing
BACnumeric37 unique values
0 missing
BBInumeric36 unique values
0 missing
BIC0numeric54 unique values
0 missing
BIC1numeric66 unique values
0 missing
BIC2numeric68 unique values
0 missing
BIC3numeric63 unique values
0 missing
BIC4numeric59 unique values
0 missing
BIC5numeric59 unique values
0 missing
BIDnumeric48 unique values
0 missing
BLInumeric67 unique values
0 missing
BLTA96numeric75 unique values
0 missing
BLTD48numeric70 unique values
0 missing
BLTF96numeric71 unique values
0 missing
Br.094numeric2 unique values
0 missing
C.numeric69 unique values
0 missing
C.001numeric5 unique values
0 missing
C.002numeric8 unique values
0 missing
C.003numeric2 unique values
0 missing
C.004numeric2 unique values
0 missing
C.005numeric5 unique values
0 missing
C.006numeric9 unique values
0 missing
C.007numeric2 unique values
0 missing
C.008numeric4 unique values
0 missing
C.009numeric3 unique values
0 missing
C.011numeric2 unique values
0 missing
C.012numeric2 unique values
0 missing

62 properties

84
Number of instances (rows) of the dataset.
132
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.
131
Number of numeric attributes.
1
Number of nominal attributes.
Average entropy of the attributes.
Number of instances belonging to the least frequent class.
1.44
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
3.03
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.
11.01
Mean of means among attributes of the numeric type.
-0.11
First quartile of skewness among attributes of the numeric type.
Average mutual information between the nominal attributes and the target attribute.
0.26
First quartile of standard deviation of attributes of the numeric type.
0.17
Average class difference between consecutive instances.
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.
Entropy of the target attribute values.
Average number of distinct values among the attributes of the nominal type.
0.37
Second quartile (Median) of kurtosis among attributes of the numeric type.
1.57
Number of attributes divided by the number of instances.
0.52
Mean skewness among attributes of the numeric type.
4.19
Second quartile (Median) of means 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.
4.31
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Percentage of instances belonging to the most frequent class.
Minimal entropy among attributes.
0.33
Second quartile (Median) of skewness among attributes of the numeric type.
Number of instances belonging to the most frequent class.
-0.82
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
0.42
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
84
Maximum kurtosis among attributes of the numeric type.
-4.04
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
121.52
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.
2.44
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.
99.24
Percentage of numeric attributes.
10.4
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-3.37
Minimum skewness among attributes of the numeric type.
0.76
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
9.17
Maximum skewness among attributes of the numeric type.
0.03
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
0.95
Third quartile of skewness among attributes of the numeric type.
47.41
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
-0.32
First quartile of kurtosis among attributes of the numeric type.
3.9
Third 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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