Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4898

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4898

deactivated ARFF Publicly available Visibility: public Uploaded 16-07-2016 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: CHEMBL4898 (TID: 100413), and it has 998 rows and 139 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.

141 features

pXC50 (target)numeric94 unique values
0 missing
molecule_id (row identifier)nominal998 unique values
0 missing
DECCnumeric641 unique values
0 missing
Eig09_EA.ed.numeric732 unique values
0 missing
SM04_AEA.ri.numeric732 unique values
0 missing
CATS2D_04_DLnumeric14 unique values
0 missing
Eig09_EAnumeric581 unique values
0 missing
SM03_AEA.dm.numeric581 unique values
0 missing
CATS2D_05_DLnumeric19 unique values
0 missing
CATS2D_08_DPnumeric7 unique values
0 missing
IDEnumeric663 unique values
0 missing
MSDnumeric823 unique values
0 missing
AECCnumeric698 unique values
0 missing
UNIPnumeric217 unique values
0 missing
Chi0_EA.dm.numeric843 unique values
0 missing
Eig07_AEA.bo.numeric585 unique values
0 missing
Eig08_EA.ri.numeric635 unique values
0 missing
Eig09_AEA.ri.numeric652 unique values
0 missing
SssNHnumeric636 unique values
0 missing
CATS2D_08_DDnumeric7 unique values
0 missing
Eig08_EA.bo.numeric628 unique values
0 missing
Yindexnumeric478 unique values
0 missing
Eig07_AEA.ri.numeric661 unique values
0 missing
GMTIVnumeric969 unique values
0 missing
HVcpxnumeric634 unique values
0 missing
Eig07_EA.bo.numeric623 unique values
0 missing
Eig09_EA.ri.numeric636 unique values
0 missing
SMTIVnumeric956 unique values
0 missing
P_VSA_s_5numeric73 unique values
0 missing
D.Dtr06numeric893 unique values
0 missing
Eig07_EAnumeric578 unique values
0 missing
SM15_AEA.bo.numeric578 unique values
0 missing
Eig07_EA.ri.numeric642 unique values
0 missing
ATS2mnumeric614 unique values
0 missing
Eig06_EAnumeric592 unique values
0 missing
SM14_AEA.bo.numeric592 unique values
0 missing
Eig09_AEA.bo.numeric592 unique values
0 missing
Eig08_AEA.ri.numeric642 unique values
0 missing
CSInumeric618 unique values
0 missing
ECCnumeric449 unique values
0 missing
Vindexnumeric233 unique values
0 missing
CATS2D_06_DLnumeric16 unique values
0 missing
Chi1_EA.dm.numeric855 unique values
0 missing
Eig08_AEA.bo.numeric587 unique values
0 missing
Eig09_AEA.ed.numeric628 unique values
0 missing
Eig08_EAnumeric582 unique values
0 missing
SM02_AEA.dm.numeric582 unique values
0 missing
ICRnumeric511 unique values
0 missing
CATS2D_02_DLnumeric15 unique values
0 missing
Xindexnumeric288 unique values
0 missing
SMTInumeric877 unique values
0 missing
SpMax6_Bh.m.numeric584 unique values
0 missing
Eig07_EA.ed.numeric756 unique values
0 missing
SM02_AEA.ri.numeric756 unique values
0 missing
NssNHnumeric5 unique values
0 missing
GMTInumeric874 unique values
0 missing
XMODnumeric947 unique values
0 missing
Eig08_EA.ed.numeric735 unique values
0 missing
SM03_AEA.ri.numeric735 unique values
0 missing
Eig06_AEA.ri.numeric674 unique values
0 missing
Xunumeric877 unique values
0 missing
Eta_Fnumeric973 unique values
0 missing
IDMTnumeric893 unique values
0 missing
Eig08_AEA.dm.numeric631 unique values
0 missing
Eig06_AEA.bo.numeric594 unique values
0 missing
SpMax4_Bh.m.numeric555 unique values
0 missing
SpMax2_Bh.i.numeric294 unique values
0 missing
ZM1Madnumeric946 unique values
0 missing
Eig10_AEA.ed.numeric636 unique values
0 missing
Eig06_EA.ed.numeric790 unique values
0 missing
SM15_AEA.dm.numeric790 unique values
0 missing
CATS2D_05_PLnumeric8 unique values
0 missing
IDETnumeric891 unique values
0 missing
SpMax7_Bh.i.numeric517 unique values
0 missing
ATS1mnumeric583 unique values
0 missing
Eta_betaPnumeric56 unique values
0 missing
SpMax8_Bh.m.numeric557 unique values
0 missing
RDCHInumeric740 unique values
0 missing
D.Dtr09numeric530 unique values
0 missing
Eig10_EA.ed.numeric719 unique values
0 missing
SM05_AEA.ri.numeric719 unique values
0 missing
MWnumeric872 unique values
0 missing
Eig06_EA.bo.numeric622 unique values
0 missing
Eig10_EA.bo.numeric637 unique values
0 missing
Eig09_AEA.dm.numeric641 unique values
0 missing
Eta_FLnumeric887 unique values
0 missing
CATS2D_02_DAnumeric10 unique values
0 missing
SpMax8_Bh.i.numeric536 unique values
0 missing
X2solnumeric837 unique values
0 missing
MDDDnumeric863 unique values
0 missing
Eig06_EA.ri.numeric665 unique values
0 missing
Eig15_AEA.dm.numeric688 unique values
0 missing
H.050numeric11 unique values
0 missing
nHDonnumeric11 unique values
0 missing
NaasCnumeric14 unique values
0 missing
LPRSnumeric895 unique values
0 missing
IACnumeric836 unique values
0 missing
TIC0numeric836 unique values
0 missing
X3vnumeric891 unique values
0 missing
ZM2Madnumeric965 unique values
0 missing
S1Knumeric749 unique values
0 missing
N.072numeric5 unique values
0 missing
Eig09_EA.bo.numeric639 unique values
0 missing
AMRnumeric954 unique values
0 missing
Eig07_AEA.dm.numeric657 unique values
0 missing
Eig08_AEA.ed.numeric657 unique values
0 missing
Eta_betanumeric168 unique values
0 missing
SpMax4_Bh.i.numeric532 unique values
0 missing
X0numeric411 unique values
0 missing
X1solnumeric759 unique values
0 missing
Hynumeric460 unique values
0 missing
ATSC4inumeric747 unique values
0 missing
P_VSA_m_2numeric931 unique values
0 missing
SpMax8_Bh.e.numeric518 unique values
0 missing
P_VSA_MR_6numeric847 unique values
0 missing
X4vnumeric854 unique values
0 missing
Eig07_AEA.ed.numeric674 unique values
0 missing
Eta_alphanumeric596 unique values
0 missing
SpMax8_Bh.v.numeric540 unique values
0 missing
X2numeric837 unique values
0 missing
SpMax1_Bh.p.numeric285 unique values
0 missing
Eig10_EAnumeric599 unique values
0 missing
SM04_AEA.dm.numeric599 unique values
0 missing
X0solnumeric550 unique values
0 missing
Eta_epsinumeric752 unique values
0 missing
Eig10_EA.ri.numeric651 unique values
0 missing
SpMax7_Bh.m.numeric550 unique values
0 missing
Eig10_AEA.ri.numeric660 unique values
0 missing
ON0numeric167 unique values
0 missing
IDDMnumeric347 unique values
0 missing
Eig13_EA.ed.numeric681 unique values
0 missing
SM08_AEA.ri.numeric681 unique values
0 missing
X3solnumeric845 unique values
0 missing
ATS1snumeric610 unique values
0 missing
Psi_e_0numeric883 unique values
0 missing
SpMax8_Bh.p.numeric518 unique values
0 missing
Eig05_EAnumeric606 unique values
0 missing
SM13_AEA.bo.numeric606 unique values
0 missing
Chi0_EA.ri.numeric942 unique values
0 missing
CATS2D_04_PLnumeric6 unique values
0 missing
SpMax7_Bh.p.numeric526 unique values
0 missing

62 properties

998
Number of instances (rows) of the dataset.
141
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.
140
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.
0.14
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
1.78
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.
0.14
Mean skewness among attributes of the numeric type.
3.34
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
541.39
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.
0.05
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-0.76
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
0.99
Second quartile (Median) of standard deviation of attributes of the numeric type.
80.57
Maximum kurtosis among attributes of the numeric type.
-0
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
32424.92
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.
5.47
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.
99.29
Percentage of numeric attributes.
13.84
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-2.13
Minimum skewness among attributes of the numeric type.
0.71
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
7.68
Maximum skewness among attributes of the numeric type.
0.06
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
0.72
Third quartile of skewness among attributes of the numeric type.
24568.66
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
0.59
First quartile of kurtosis among attributes of the numeric type.
3.52
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.
1.85
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
5.3
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.
700.73
Mean of means among attributes of the numeric type.
-1.1
First quartile of skewness among attributes of the numeric type.
0.41
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
0.45
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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