OpenML

JavaScript is required to properly view the contents of this page!

Explore
- Data
- Task
- Flow
- Run
- Study
- Task type
- Measure
- People
Help
Blog
Contact
Please cite us

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2095173

deactivated ARFF Publicly available Visibility: public Uploaded 15-07-2016 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: CHEMBL2095173 (TID: 104758), and it has 258 rows and 102 features (not including molecule IDs and class feature: molecule_id and pXC50). The features represent FCFP 1024-bit Molecular Fingerprints which were generated from SMILES strings. Feature selection was applied to this dataset. The fingerprints were obtained using the Pipeline Pilot program, Dassault Systèmes BIOVIA. Generating Fingerprints do not usually require missing value imputation as all bits are generated.

104 features

pXC50 (target)	numeric	163 unique values 0 missing
molecule_id (row identifier)	nominal	258 unique values 0 missing
FCFP4_1024b985	numeric	2 unique values 0 missing
FCFP4_1024b406	numeric	2 unique values 0 missing
FCFP4_1024b574	numeric	2 unique values 0 missing
FCFP4_1024b900	numeric	2 unique values 0 missing
FCFP4_1024b211	numeric	2 unique values 0 missing
FCFP4_1024b669	numeric	2 unique values 0 missing
FCFP4_1024b10	numeric	2 unique values 0 missing
FCFP4_1024b230	numeric	2 unique values 0 missing
FCFP4_1024b967	numeric	2 unique values 0 missing
FCFP4_1024b731	numeric	2 unique values 0 missing
FCFP4_1024b256	numeric	2 unique values 0 missing
FCFP4_1024b630	numeric	2 unique values 0 missing
FCFP4_1024b644	numeric	2 unique values 0 missing
FCFP4_1024b37	numeric	2 unique values 0 missing
FCFP4_1024b4	numeric	2 unique values 0 missing
FCFP4_1024b503	numeric	2 unique values 0 missing
FCFP4_1024b902	numeric	2 unique values 0 missing
FCFP4_1024b271	numeric	2 unique values 0 missing
FCFP4_1024b61	numeric	2 unique values 0 missing
FCFP4_1024b325	numeric	2 unique values 0 missing
FCFP4_1024b20	numeric	2 unique values 0 missing
FCFP4_1024b199	numeric	2 unique values 0 missing
FCFP4_1024b429	numeric	2 unique values 0 missing
FCFP4_1024b376	numeric	2 unique values 0 missing
FCFP4_1024b923	numeric	2 unique values 0 missing
FCFP4_1024b54	numeric	2 unique values 0 missing
FCFP4_1024b492	numeric	2 unique values 0 missing
FCFP4_1024b65	numeric	2 unique values 0 missing
FCFP4_1024b357	numeric	2 unique values 0 missing
FCFP4_1024b412	numeric	2 unique values 0 missing
FCFP4_1024b752	numeric	2 unique values 0 missing
FCFP4_1024b846	numeric	2 unique values 0 missing
FCFP4_1024b937	numeric	2 unique values 0 missing
FCFP4_1024b1	numeric	1 unique values 0 missing
FCFP4_1024b100	numeric	1 unique values 0 missing
FCFP4_1024b1000	numeric	1 unique values 0 missing
FCFP4_1024b1001	numeric	1 unique values 0 missing
FCFP4_1024b1002	numeric	2 unique values 0 missing
FCFP4_1024b1003	numeric	1 unique values 0 missing
FCFP4_1024b1004	numeric	1 unique values 0 missing
FCFP4_1024b1005	numeric	1 unique values 0 missing
FCFP4_1024b1006	numeric	2 unique values 0 missing
FCFP4_1024b1007	numeric	2 unique values 0 missing
FCFP4_1024b1008	numeric	1 unique values 0 missing
FCFP4_1024b1009	numeric	1 unique values 0 missing
FCFP4_1024b101	numeric	1 unique values 0 missing
FCFP4_1024b1010	numeric	1 unique values 0 missing
FCFP4_1024b1011	numeric	2 unique values 0 missing
FCFP4_1024b1012	numeric	1 unique values 0 missing
FCFP4_1024b1013	numeric	1 unique values 0 missing
FCFP4_1024b1014	numeric	1 unique values 0 missing
FCFP4_1024b1015	numeric	1 unique values 0 missing
FCFP4_1024b1016	numeric	2 unique values 0 missing
FCFP4_1024b1017	numeric	1 unique values 0 missing
FCFP4_1024b1018	numeric	2 unique values 0 missing
FCFP4_1024b1019	numeric	2 unique values 0 missing
FCFP4_1024b102	numeric	1 unique values 0 missing
FCFP4_1024b1020	numeric	2 unique values 0 missing
FCFP4_1024b1021	numeric	2 unique values 0 missing
FCFP4_1024b1022	numeric	1 unique values 0 missing
FCFP4_1024b1023	numeric	1 unique values 0 missing
FCFP4_1024b1024	numeric	1 unique values 0 missing
FCFP4_1024b103	numeric	2 unique values 0 missing
FCFP4_1024b104	numeric	1 unique values 0 missing
FCFP4_1024b105	numeric	1 unique values 0 missing
FCFP4_1024b106	numeric	2 unique values 0 missing
FCFP4_1024b107	numeric	2 unique values 0 missing
FCFP4_1024b108	numeric	2 unique values 0 missing
FCFP4_1024b109	numeric	1 unique values 0 missing
FCFP4_1024b11	numeric	2 unique values 0 missing
FCFP4_1024b110	numeric	2 unique values 0 missing
FCFP4_1024b111	numeric	2 unique values 0 missing
FCFP4_1024b112	numeric	1 unique values 0 missing
FCFP4_1024b113	numeric	1 unique values 0 missing
FCFP4_1024b114	numeric	2 unique values 0 missing
FCFP4_1024b115	numeric	1 unique values 0 missing
FCFP4_1024b116	numeric	1 unique values 0 missing
FCFP4_1024b117	numeric	1 unique values 0 missing
FCFP4_1024b118	numeric	1 unique values 0 missing
FCFP4_1024b119	numeric	1 unique values 0 missing
FCFP4_1024b12	numeric	2 unique values 0 missing
FCFP4_1024b120	numeric	2 unique values 0 missing
FCFP4_1024b121	numeric	1 unique values 0 missing
FCFP4_1024b122	numeric	2 unique values 0 missing
FCFP4_1024b123	numeric	2 unique values 0 missing
FCFP4_1024b124	numeric	1 unique values 0 missing
FCFP4_1024b125	numeric	1 unique values 0 missing
FCFP4_1024b126	numeric	1 unique values 0 missing
FCFP4_1024b127	numeric	1 unique values 0 missing
FCFP4_1024b128	numeric	2 unique values 0 missing
FCFP4_1024b129	numeric	1 unique values 0 missing
FCFP4_1024b13	numeric	1 unique values 0 missing
FCFP4_1024b130	numeric	2 unique values 0 missing
FCFP4_1024b131	numeric	2 unique values 0 missing
FCFP4_1024b132	numeric	1 unique values 0 missing
FCFP4_1024b133	numeric	2 unique values 0 missing
FCFP4_1024b134	numeric	2 unique values 0 missing
FCFP4_1024b135	numeric	1 unique values 0 missing
FCFP4_1024b136	numeric	1 unique values 0 missing
FCFP4_1024b137	numeric	2 unique values 0 missing
FCFP4_1024b138	numeric	1 unique values 0 missing
FCFP4_1024b139	numeric	2 unique values 0 missing

Show first 100 features

62 properties

NumberOfInstances

258

Number of instances (rows) of the dataset.

NumberOfFeatures

104

Number of attributes (columns) of the dataset.

NumberOfClasses

Number of distinct values of the target attribute (if it is nominal).

NumberOfMissingValues

Number of missing values in the dataset.

NumberOfInstancesWithMissingValues

Number of instances with at least one value missing.

NumberOfNumericFeatures

103

Number of numeric attributes.

NumberOfSymbolicFeatures

Number of nominal attributes.

Quartile2KurtosisOfNumericAtts

1.8

Second quartile (Median) of kurtosis among attributes of the numeric type.

Dimensionality

0.4

Number of attributes divided by the number of instances.

MeanNominalAttDistinctValues

Average number of distinct values among the attributes of the nominal type.

Quartile2MeansOfNumericAtts

0.02

Second quartile (Median) of means among attributes of the numeric type.

EquivalentNumberOfAtts

Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.

MeanSkewnessOfNumericAtts

3.82

Mean skewness among attributes of the numeric type.

Quartile2MutualInformation

Second quartile (Median) of mutual information between the nominal attributes and the target attribute.

MajorityClassPercentage

Percentage of instances belonging to the most frequent class.

MeanStdDevOfNumericAtts

0.2

Mean standard deviation of attributes of the numeric type.

Quartile2SkewnessOfNumericAtts

1.94

Second quartile (Median) of skewness among attributes of the numeric type.

MajorityClassSize

Number of instances belonging to the most frequent class.

MinAttributeEntropy

Minimal entropy among attributes.

PercentageOfBinaryFeatures

Percentage of binary attributes.

Quartile2StdDevOfNumericAtts

0.12

Second quartile (Median) of standard deviation of attributes of the numeric type.

MaxAttributeEntropy

Maximum entropy among attributes.

MinKurtosisOfNumericAtts

-2.01

Minimum kurtosis among attributes of the numeric type.

MinMeansOfNumericAtts

Minimum of means among attributes of the numeric type.

PercentageOfInstancesWithMissingValues

Percentage of instances having missing values.

Quartile3AttributeEntropy

Third quartile of entropy among attributes.

MaxKurtosisOfNumericAtts

258

Maximum kurtosis among attributes of the numeric type.

MinMutualInformation

Minimal mutual information between the nominal attributes and the target attribute.

PercentageOfMissingValues

Percentage of missing values.

Quartile3KurtosisOfNumericAtts

15.65

Third quartile of kurtosis among attributes of the numeric type.

MaxMeansOfNumericAtts

5.5

Maximum of means among attributes of the numeric type.

MinNominalAttDistinctValues

The minimal number of distinct values among attributes of the nominal type.

PercentageOfNumericFeatures

99.04

Percentage of numeric attributes.

Quartile3MeansOfNumericAtts

0.2

Third quartile of means among attributes of the numeric type.

MaxMutualInformation

Maximum mutual information between the nominal attributes and the target attribute.

MinSkewnessOfNumericAtts

-0.48

Minimum skewness among attributes of the numeric type.

PercentageOfSymbolicFeatures

0.96

Percentage of nominal attributes.

Quartile3MutualInformation

Third quartile of mutual information between the nominal attributes and the target attribute.

MaxNominalAttDistinctValues

The maximum number of distinct values among attributes of the nominal type.

MinStdDevOfNumericAtts

Minimum standard deviation of attributes of the numeric type.

Quartile1AttributeEntropy

First quartile of entropy among attributes.

Quartile3SkewnessOfNumericAtts

4.17

Third quartile of skewness among attributes of the numeric type.

MaxSkewnessOfNumericAtts

16.06

Maximum skewness among attributes of the numeric type.

MinorityClassPercentage

Percentage of instances belonging to the least frequent class.

Quartile1KurtosisOfNumericAtts

-0.79

First quartile of kurtosis among attributes of the numeric type.

Quartile3StdDevOfNumericAtts

0.39

Third quartile of standard deviation of attributes of the numeric type.

MaxStdDevOfNumericAtts

0.82

Maximum standard deviation of attributes of the numeric type.

MinorityClassSize

Number of instances belonging to the least frequent class.

Quartile1MeansOfNumericAtts

First quartile of means among attributes of the numeric type.

StdvNominalAttDistinctValues

Standard deviation of the number of distinct values among attributes of the nominal type.

MeanAttributeEntropy

Average entropy of the attributes.

NumberOfBinaryFeatures

Number of binary attributes.

Quartile1MutualInformation

First quartile of mutual information between the nominal attributes and the target attribute.

MeanKurtosisOfNumericAtts

34.99

Mean kurtosis among attributes of the numeric type.

Quartile1SkewnessOfNumericAtts

1.09

First quartile of skewness among attributes of the numeric type.

MeanMeansOfNumericAtts

0.17

Mean of means among attributes of the numeric type.

Quartile1StdDevOfNumericAtts

First quartile of standard deviation of attributes of the numeric type.

AutoCorrelation

0.27

Average class difference between consecutive instances.

MeanMutualInformation

Average mutual information between the nominal attributes and the target attribute.

Quartile2AttributeEntropy

Second quartile (Median) of entropy among attributes.

ClassEntropy

Entropy of the target attribute values.

MeanNoiseToSignalRatio

An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.

Show all 62 properties