Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6154

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6154

deactivated ARFF Publicly available Visibility: public Uploaded 16-07-2016 by Noureddin Sadawi
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target ChEMBL_ID: CHEMBL6154 (TID: 102783), and it has 63 rows and 60 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.

62 features

pXC50 (target)numeric53 unique values
0 missing
molecule_id (row identifier)nominal63 unique values
0 missing
Eig02_AEA.ri.numeric38 unique values
0 missing
Eig02_AEA.dm.numeric42 unique values
0 missing
Eig04_AEA.bo.numeric44 unique values
0 missing
Eig13_AEA.dm.numeric37 unique values
0 missing
SpMax2_Bh.e.numeric41 unique values
0 missing
GATS4vnumeric55 unique values
0 missing
Eig04_EA.ri.numeric52 unique values
0 missing
Eig03_AEA.ed.numeric37 unique values
0 missing
Eig03_EA.ed.numeric42 unique values
0 missing
SM12_AEA.dm.numeric42 unique values
0 missing
Eig02_EA.ed.numeric30 unique values
0 missing
SM11_AEA.dm.numeric30 unique values
0 missing
Eig02_AEA.bo.numeric35 unique values
0 missing
Eig02_AEA.ed.numeric26 unique values
0 missing
Eig02_EAnumeric32 unique values
0 missing
SM10_AEA.bo.numeric32 unique values
0 missing
Eig02_EA.ri.numeric41 unique values
0 missing
SM03_EA.ed.numeric38 unique values
0 missing
SM04_EA.ed.numeric46 unique values
0 missing
SM05_AEA.ed.numeric44 unique values
0 missing
SM06_AEA.ed.numeric46 unique values
0 missing
SM06_EAnumeric46 unique values
0 missing
SM07_AEA.ed.numeric45 unique values
0 missing
SM07_EAnumeric45 unique values
0 missing
SM08_AEA.ed.numeric46 unique values
0 missing
SM08_EAnumeric44 unique values
0 missing
Eig03_AEA.bo.numeric45 unique values
0 missing
Eig03_AEA.ri.numeric50 unique values
0 missing
Eig03_EAnumeric44 unique values
0 missing
SM11_AEA.bo.numeric44 unique values
0 missing
AACnumeric52 unique values
0 missing
AECCnumeric49 unique values
0 missing
ALOGPnumeric55 unique values
0 missing
ALOGP2numeric55 unique values
0 missing
AMRnumeric55 unique values
0 missing
AMWnumeric53 unique values
0 missing
ARRnumeric31 unique values
0 missing
ATS1enumeric52 unique values
0 missing
ATS1inumeric51 unique values
0 missing
ATS1mnumeric52 unique values
0 missing
ATS1pnumeric54 unique values
0 missing
ATS1snumeric54 unique values
0 missing
ATS1vnumeric54 unique values
0 missing
ATS2enumeric53 unique values
0 missing
ATS2inumeric52 unique values
0 missing
ATS2mnumeric54 unique values
0 missing
ATS2pnumeric54 unique values
0 missing
ATS2snumeric57 unique values
0 missing
ATS2vnumeric55 unique values
0 missing
ATS3enumeric58 unique values
0 missing
ATS3inumeric54 unique values
0 missing
ATS3mnumeric55 unique values
0 missing
ATS3pnumeric55 unique values
0 missing
ATS3snumeric55 unique values
0 missing
ATS3vnumeric55 unique values
0 missing
ATS4enumeric56 unique values
0 missing
ATS4inumeric56 unique values
0 missing
ATS4mnumeric56 unique values
0 missing
ATS4pnumeric58 unique values
0 missing
ATS4snumeric59 unique values
0 missing

62 properties

63
Number of instances (rows) of the dataset.
62
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.
61
Number of numeric attributes.
1
Number of nominal attributes.
0.88
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.98
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
4.33
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.
0.31
Mean skewness among 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.
0.92
Mean standard deviation of attributes of the numeric type.
0.16
Second quartile (Median) of skewness among attributes of the numeric type.
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
0
Percentage of binary attributes.
0.29
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
-0.86
Minimum kurtosis among attributes of the numeric type.
0.61
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
6.4
Maximum kurtosis among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
0
Percentage of missing values.
2.12
Third quartile of kurtosis among attributes of the numeric type.
112.36
Maximum of means among attributes of the numeric type.
The minimal number of distinct values among attributes of the nominal type.
98.39
Percentage of numeric attributes.
8.17
Third quartile of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
-1.54
Minimum skewness among attributes of the numeric type.
1.61
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
The maximum number of distinct values among attributes of the nominal type.
0.05
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
1.07
Third quartile of skewness among attributes of the numeric type.
2.33
Maximum skewness among 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.
0.42
Third quartile of standard deviation of attributes of the numeric type.
23.62
Maximum standard deviation of attributes of the numeric type.
Number of instances belonging to the least frequent class.
3.75
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
Average entropy of the attributes.
0
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
1.34
Mean kurtosis among attributes of the numeric type.
-0.32
First quartile of skewness among attributes of the numeric type.
7.49
Mean of means among attributes of the numeric type.
0.22
First quartile of standard deviation of attributes of the numeric type.
-0.04
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
Second quartile (Median) of entropy among 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.

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
Define a new task