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QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL304

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL304

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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: CHEMBL304 (TID: 11944), and it has 1482 rows and 136 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.

138 features

pXC50 (target)numeric902 unique values
0 missing
molecule_id (row identifier)nominal1482 unique values
0 missing
SpMin4_Bh.m.numeric414 unique values
0 missing
SpMin8_Bh.e.numeric459 unique values
0 missing
SpMin4_Bh.e.numeric468 unique values
0 missing
SpMin4_Bh.v.numeric405 unique values
0 missing
SpMax3_Bh.e.numeric397 unique values
0 missing
SpMax8_Bh.i.numeric463 unique values
0 missing
SpMax8_Bh.v.numeric486 unique values
0 missing
SpMin4_Bh.p.numeric403 unique values
0 missing
SpMin4_Bh.i.numeric469 unique values
0 missing
D.Dtr07numeric293 unique values
0 missing
SpMax3_Bh.i.numeric410 unique values
0 missing
SpMax8_Bh.e.numeric478 unique values
0 missing
SpMax8_Bh.p.numeric479 unique values
0 missing
VvdwZAZnumeric881 unique values
0 missing
SpMax3_Bh.v.numeric475 unique values
0 missing
ON0numeric130 unique values
0 missing
S3Knumeric887 unique values
0 missing
X1Pernumeric943 unique values
0 missing
X0numeric307 unique values
0 missing
Eig09_AEA.bo.numeric533 unique values
0 missing
Svnumeric826 unique values
0 missing
Uindexnumeric791 unique values
0 missing
ATS1inumeric564 unique values
0 missing
SpMax3_Bh.p.numeric463 unique values
0 missing
ATS1enumeric540 unique values
0 missing
SpMax2_Bh.e.numeric284 unique values
0 missing
Psi_i_0numeric942 unique values
0 missing
Eta_epsinumeric734 unique values
0 missing
Eig12_AEA.ed.numeric459 unique values
0 missing
ATS2enumeric604 unique values
0 missing
Eig05_EA.ri.numeric687 unique values
0 missing
CIC5numeric490 unique values
0 missing
BIC5numeric174 unique values
0 missing
Eig13_EA.bo.numeric564 unique values
0 missing
SMTInumeric786 unique values
0 missing
ISIZnumeric63 unique values
0 missing
nATnumeric63 unique values
0 missing
LPRSnumeric811 unique values
0 missing
ATS1snumeric606 unique values
0 missing
Eig05_AEA.ri.numeric679 unique values
0 missing
SpMax7_Bh.i.numeric431 unique values
0 missing
ATS4inumeric679 unique values
0 missing
IDETnumeric810 unique values
0 missing
S2Knumeric814 unique values
0 missing
IDMnumeric619 unique values
0 missing
SpMin8_Bh.p.numeric489 unique values
0 missing
nBTnumeric68 unique values
0 missing
X1Madnumeric1004 unique values
0 missing
IVDMnumeric273 unique values
0 missing
IDDMnumeric290 unique values
0 missing
nSKnumeric34 unique values
0 missing
HDcpxnumeric239 unique values
0 missing
Spnumeric800 unique values
0 missing
Xunumeric793 unique values
0 missing
IDMTnumeric812 unique values
0 missing
SpMax7_Bh.e.numeric447 unique values
0 missing
SpMax6_Bh.v.numeric488 unique values
0 missing
ON1numeric214 unique values
0 missing
ATS2inumeric584 unique values
0 missing
Eig05_EAnumeric529 unique values
0 missing
SM13_AEA.bo.numeric529 unique values
0 missing
SpMin3_Bh.p.numeric352 unique values
0 missing
SpMaxA_EA.bo.numeric167 unique values
0 missing
Eig15_AEA.ri.numeric695 unique values
0 missing
SpMax6_Bh.e.numeric469 unique values
0 missing
Eig05_AEA.ed.numeric582 unique values
0 missing
GMTInumeric772 unique values
0 missing
Eig14_AEA.ri.numeric677 unique values
0 missing
MSDnumeric742 unique values
0 missing
TIC4numeric696 unique values
0 missing
S1Knumeric708 unique values
0 missing
Eta_betaSnumeric82 unique values
0 missing
SpMin8_Bh.v.numeric479 unique values
0 missing
Chi1_AEA.bo.numeric694 unique values
0 missing
Chi1_AEA.dm.numeric694 unique values
0 missing
Chi1_AEA.ed.numeric694 unique values
0 missing
Chi1_AEA.ri.numeric694 unique values
0 missing
Chi1_EAnumeric694 unique values
0 missing
ATSC8inumeric851 unique values
0 missing
CENTnumeric603 unique values
0 missing
RDCHInumeric657 unique values
0 missing
TIC1numeric884 unique values
0 missing
UNIPnumeric181 unique values
0 missing
ICRnumeric431 unique values
0 missing
CSInumeric497 unique values
0 missing
ATS2snumeric667 unique values
0 missing
ATS7enumeric779 unique values
0 missing
SpMaxA_AEA.bo.numeric176 unique values
0 missing
ATS1pnumeric546 unique values
0 missing
ECCnumeric346 unique values
0 missing
SpMax7_Bh.p.numeric432 unique values
0 missing
GGI7numeric399 unique values
0 missing
Eig06_EA.ri.numeric677 unique values
0 missing
PHInumeric826 unique values
0 missing
Eig05_EA.ed.numeric653 unique values
0 missing
SM14_AEA.dm.numeric653 unique values
0 missing
SpAD_EA.ri.numeric1121 unique values
0 missing
ON1Vnumeric787 unique values
0 missing
Eig14_EA.ed.numeric573 unique values
0 missing
SM09_AEA.ri.numeric573 unique values
0 missing
Eig14_EA.bo.numeric580 unique values
0 missing
SM02_AEA.bo.numeric306 unique values
0 missing
D.Dtr06numeric807 unique values
0 missing
SpMin8_Bh.m.numeric470 unique values
0 missing
Eig11_EA.bo.numeric556 unique values
0 missing
ATS8enumeric857 unique values
0 missing
ATS8inumeric804 unique values
0 missing
SM02_EA.ri.numeric548 unique values
0 missing
Chi0_EA.ed.numeric772 unique values
0 missing
MPC01numeric38 unique values
0 missing
MWC01numeric38 unique values
0 missing
nBOnumeric38 unique values
0 missing
SRW02numeric38 unique values
0 missing
P_VSA_m_2numeric950 unique values
0 missing
MDDDnumeric775 unique values
0 missing
Psi_i_tnumeric20 unique values
0 missing
Eig04_EA.bo.numeric539 unique values
0 missing
SM14_AEA.ri.numeric539 unique values
0 missing
Eig11_AEA.bo.numeric522 unique values
0 missing
Eig11_AEA.dm.numeric691 unique values
0 missing
ATSC1inumeric476 unique values
0 missing
SpMax7_Bh.v.numeric475 unique values
0 missing
BBInumeric51 unique values
0 missing
MPC02numeric51 unique values
0 missing
SM02_EAnumeric51 unique values
0 missing
Eig14_EAnumeric467 unique values
0 missing
SM08_AEA.dm.numeric467 unique values
0 missing
TIC3numeric794 unique values
0 missing
CATS2D_02_ALnumeric16 unique values
0 missing
ATS4snumeric710 unique values
0 missing
Eig11_AEA.ri.numeric714 unique values
0 missing
Eig11_EA.ri.numeric687 unique values
0 missing
Eig03_EA.bo.numeric527 unique values
0 missing
SM13_AEA.ri.numeric527 unique values
0 missing
Chi1_EA.ed.numeric732 unique values
0 missing
Eig11_EA.ed.numeric578 unique values
0 missing

62 properties

1482
Number of instances (rows) of the dataset.
138
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.
137
Number of numeric attributes.
1
Number of nominal attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
99.28
Percentage of numeric attributes.
0.72
Percentage of nominal attributes.
First quartile of entropy among attributes.
0.66
First quartile of kurtosis among attributes of the numeric type.
1.81
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
-0.29
First quartile of skewness among attributes of the numeric type.
0.22
First quartile of standard deviation of attributes of the numeric type.
Second quartile (Median) of entropy among attributes.
2.24
Second quartile (Median) of kurtosis among attributes of the numeric type.
3.96
Second quartile (Median) of means among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
0.41
Second quartile (Median) of skewness among attributes of the numeric type.
0.62
Second quartile (Median) of standard deviation of attributes of the numeric type.
Third quartile of entropy among attributes.
16.61
Third quartile of kurtosis among attributes of the numeric type.
13.04
Third quartile of means among attributes of the numeric type.
Third quartile of mutual information between the nominal attributes and the target attribute.
2
Third quartile of skewness among attributes of the numeric type.
3.22
Third quartile of standard deviation of attributes of the numeric type.
-0.1
Average class difference between consecutive instances.
238.6
Mean of means among attributes of the numeric type.
Entropy of the target attribute values.
0.09
Number of attributes divided by the number of instances.
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
Percentage of instances belonging to the most frequent class.
Number of instances belonging to the most frequent class.
Maximum entropy among attributes.
625.9
Maximum kurtosis among attributes of the numeric type.
13195.32
Maximum of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
The maximum number of distinct values among attributes of the nominal type.
20.91
Maximum skewness among attributes of the numeric type.
20225.43
Maximum standard deviation of attributes of the numeric type.
Average entropy of the attributes.
24.98
Mean kurtosis among attributes of the numeric type.
0
Number of binary attributes.
Average mutual information between the nominal attributes and the target attribute.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
Average number of distinct values among the attributes of the nominal type.
1.34
Mean skewness among attributes of the numeric type.
290.31
Mean standard deviation of attributes of the numeric type.
Minimal entropy among attributes.
-0.98
Minimum kurtosis among attributes of the numeric type.
-1.19
Minimum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
The minimal number of distinct values among attributes of the nominal type.
-1.71
Minimum skewness among attributes of the numeric type.
0
Minimum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.

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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