DEVELOPMENT... OpenML
Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5786

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5786

deactivated ARFF Publicly available Visibility: public Uploaded 14-07-2016 by unknown
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: CHEMBL5786 (TID: 101334), and it has 57 rows and 171 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.

173 features

pXC50 (target)numeric42 unique values
0 missing
molecule_id (row identifier)nominal57 unique values
0 missing
Eig06_AEA.dm.numeric46 unique values
0 missing
Eig04_EA.ed.numeric36 unique values
0 missing
SM13_AEA.dm.numeric36 unique values
0 missing
Eig04_AEA.ed.numeric33 unique values
0 missing
GATS2enumeric44 unique values
0 missing
Eig14_AEA.dm.numeric47 unique values
0 missing
Chi1_EA.dm.numeric39 unique values
0 missing
GATS1inumeric35 unique values
0 missing
SsssNnumeric21 unique values
0 missing
Eig04_EA.ri.numeric46 unique values
0 missing
Eig04_AEA.ri.numeric48 unique values
0 missing
Eig04_EAnumeric36 unique values
0 missing
SM12_AEA.bo.numeric36 unique values
0 missing
Eig07_AEA.bo.numeric22 unique values
0 missing
ATSC2pnumeric49 unique values
0 missing
X1vnumeric52 unique values
0 missing
GGI7numeric27 unique values
0 missing
AACnumeric33 unique values
0 missing
AECCnumeric39 unique values
0 missing
ALOGPnumeric48 unique values
0 missing
ALOGP2numeric48 unique values
0 missing
AMRnumeric49 unique values
0 missing
AMWnumeric38 unique values
0 missing
ARRnumeric16 unique values
0 missing
ATS1enumeric39 unique values
0 missing
ATS1inumeric40 unique values
0 missing
ATS1mnumeric38 unique values
0 missing
ATS1pnumeric33 unique values
0 missing
ATS1snumeric47 unique values
0 missing
ATS1vnumeric39 unique values
0 missing
ATS2enumeric43 unique values
0 missing
ATS2inumeric44 unique values
0 missing
ATS2mnumeric46 unique values
0 missing
ATS2pnumeric47 unique values
0 missing
ATS2snumeric49 unique values
0 missing
ATS2vnumeric49 unique values
0 missing
ATS3enumeric49 unique values
0 missing
ATS3inumeric48 unique values
0 missing
ATS3mnumeric49 unique values
0 missing
ATS3pnumeric50 unique values
0 missing
ATS3snumeric50 unique values
0 missing
ATS3vnumeric50 unique values
0 missing
ATS4enumeric51 unique values
0 missing
ATS4inumeric51 unique values
0 missing
ATS4mnumeric43 unique values
0 missing
ATS4pnumeric53 unique values
0 missing
ATS4snumeric51 unique values
0 missing
ATS4vnumeric52 unique values
0 missing
ATS5enumeric52 unique values
0 missing
ATS5inumeric50 unique values
0 missing
ATS5mnumeric51 unique values
0 missing
ATS5pnumeric51 unique values
0 missing
ATS5snumeric50 unique values
0 missing
ATS5vnumeric52 unique values
0 missing
ATS6enumeric51 unique values
0 missing
ATS6inumeric52 unique values
0 missing
ATS6mnumeric51 unique values
0 missing
ATS6pnumeric51 unique values
0 missing
ATS6snumeric50 unique values
0 missing
ATS6vnumeric53 unique values
0 missing
ATS7enumeric53 unique values
0 missing
ATS7inumeric50 unique values
0 missing
ATS7mnumeric50 unique values
0 missing
ATS7pnumeric52 unique values
0 missing
ATS7snumeric51 unique values
0 missing
ATS7vnumeric50 unique values
0 missing
ATS8enumeric53 unique values
0 missing
ATS8inumeric51 unique values
0 missing
ATS8mnumeric50 unique values
0 missing
ATS8pnumeric52 unique values
0 missing
ATS8snumeric50 unique values
0 missing
ATS8vnumeric53 unique values
0 missing
ATSC1enumeric30 unique values
0 missing
ATSC1inumeric39 unique values
0 missing
ATSC1mnumeric40 unique values
0 missing
ATSC1pnumeric40 unique values
0 missing
ATSC1snumeric51 unique values
0 missing
ATSC1vnumeric40 unique values
0 missing
ATSC2enumeric37 unique values
0 missing
ATSC2inumeric49 unique values
0 missing
ATSC2mnumeric49 unique values
0 missing
ATSC2snumeric53 unique values
0 missing
ATSC2vnumeric49 unique values
0 missing
ATSC3enumeric45 unique values
0 missing
ATSC3inumeric49 unique values
0 missing
ATSC3mnumeric52 unique values
0 missing
ATSC3pnumeric51 unique values
0 missing
ATSC3snumeric53 unique values
0 missing
ATSC3vnumeric51 unique values
0 missing
ATSC4enumeric46 unique values
0 missing
ATSC4inumeric53 unique values
0 missing
ATSC4mnumeric53 unique values
0 missing
ATSC4pnumeric52 unique values
0 missing
ATSC4snumeric53 unique values
0 missing
ATSC4vnumeric53 unique values
0 missing
ATSC5enumeric45 unique values
0 missing
ATSC5inumeric50 unique values
0 missing
ATSC5mnumeric53 unique values
0 missing
ATSC5pnumeric53 unique values
0 missing
ATSC5snumeric52 unique values
0 missing
ATSC5vnumeric53 unique values
0 missing
ATSC6enumeric51 unique values
0 missing
ATSC6inumeric51 unique values
0 missing
ATSC6mnumeric53 unique values
0 missing
ATSC6pnumeric52 unique values
0 missing
ATSC6snumeric53 unique values
0 missing
ATSC6vnumeric53 unique values
0 missing
ATSC7enumeric47 unique values
0 missing
ATSC7inumeric51 unique values
0 missing
ATSC7mnumeric53 unique values
0 missing
ATSC7pnumeric53 unique values
0 missing
ATSC7snumeric53 unique values
0 missing
ATSC7vnumeric53 unique values
0 missing
ATSC8enumeric52 unique values
0 missing
ATSC8inumeric51 unique values
0 missing
ATSC8mnumeric53 unique values
0 missing
ATSC8pnumeric52 unique values
0 missing
ATSC8snumeric52 unique values
0 missing
ATSC8vnumeric53 unique values
0 missing
BACnumeric21 unique values
0 missing
BBInumeric17 unique values
0 missing
BIC0numeric34 unique values
0 missing
BIC1numeric41 unique values
0 missing
BIC2numeric43 unique values
0 missing
BIC3numeric39 unique values
0 missing
BIC4numeric38 unique values
0 missing
BIC5numeric37 unique values
0 missing
BIDnumeric21 unique values
0 missing
BLInumeric47 unique values
0 missing
BLTA96numeric34 unique values
0 missing
BLTD48numeric34 unique values
0 missing
BLTF96numeric34 unique values
0 missing
Br.094numeric2 unique values
0 missing
C.numeric25 unique values
0 missing
C.001numeric6 unique values
0 missing
C.002numeric7 unique values
0 missing
C.003numeric4 unique values
0 missing
C.004numeric2 unique values
0 missing
C.005numeric3 unique values
0 missing
C.006numeric4 unique values
0 missing
C.008numeric2 unique values
0 missing
C.009numeric2 unique values
0 missing
C.011numeric2 unique values
0 missing
C.013numeric2 unique values
0 missing
C.014numeric2 unique values
0 missing
C.024numeric4 unique values
0 missing
C.025numeric3 unique values
0 missing
C.026numeric3 unique values
0 missing
C.040numeric2 unique values
0 missing
CATS2D_01_AAnumeric2 unique values
0 missing
CATS2D_01_LLnumeric14 unique values
0 missing
CATS2D_02_AAnumeric2 unique values
0 missing
CATS2D_02_ALnumeric5 unique values
0 missing
CATS2D_02_ANnumeric2 unique values
0 missing
CATS2D_02_DAnumeric2 unique values
0 missing
CATS2D_02_DLnumeric3 unique values
0 missing
CATS2D_02_DNnumeric2 unique values
0 missing
CATS2D_02_LLnumeric17 unique values
0 missing
CATS2D_02_NLnumeric2 unique values
0 missing
CATS2D_03_AAnumeric2 unique values
0 missing
CATS2D_03_ALnumeric6 unique values
0 missing
CATS2D_03_DDnumeric2 unique values
0 missing
CATS2D_03_DLnumeric3 unique values
0 missing
CATS2D_03_LLnumeric16 unique values
0 missing
CATS2D_03_NLnumeric3 unique values
0 missing
CATS2D_04_ALnumeric5 unique values
0 missing
CATS2D_04_DLnumeric3 unique values
0 missing
CATS2D_04_LLnumeric15 unique values
0 missing
CATS2D_04_NLnumeric3 unique values
0 missing
CATS2D_05_ALnumeric4 unique values
0 missing
CATS2D_05_DLnumeric4 unique values
0 missing

62 properties

57
Number of instances (rows) of the dataset.
173
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.
172
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.
99.42
Percentage of numeric attributes.
0.58
Percentage of nominal attributes.
First quartile of entropy among attributes.
-0.69
First quartile of kurtosis among attributes of the numeric type.
1.12
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
0.19
First quartile of skewness among attributes of the numeric type.
0.15
First quartile of standard deviation of attributes of the numeric type.
Second quartile (Median) of entropy among attributes.
-0.34
Second quartile (Median) of kurtosis among attributes of the numeric type.
3.82
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.
0.47
Second quartile (Median) of skewness among attributes of the numeric type.
0.26
Second quartile (Median) of standard deviation of attributes of the numeric type.
Third quartile of entropy among attributes.
1.7
Third quartile of kurtosis among attributes of the numeric type.
6.94
Third quartile of means among attributes of the numeric type.
Third quartile of mutual information between the nominal attributes and the target attribute.
1.04
Third quartile of skewness among attributes of the numeric type.
1.38
Third quartile of standard deviation of attributes of the numeric type.
0.22
Average class difference between consecutive instances.
9.25
Mean of means among attributes of the numeric type.
Entropy of the target attribute values.
3.04
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.
57
Maximum kurtosis among attributes of the numeric type.
108.79
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.
7.55
Maximum skewness among attributes of the numeric type.
26.87
Maximum standard deviation of attributes of the numeric type.
Average entropy of the attributes.
3.82
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.
0.95
Mean skewness among attributes of the numeric type.
2.01
Mean standard deviation of attributes of the numeric type.
Minimal entropy among attributes.
-1.86
Minimum kurtosis among attributes of the numeric type.
-4
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.
-2.13
Minimum skewness among attributes of the numeric type.
0.02
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
Define a new task