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QSAR-TID-10930 | DataSalon

Home ChemistryQSAR-TID-10930

Chemistry

QSAR-TID-10930

Name: QSAR-TID-10930
Creator: Dr Jeremy Besnard, Dr Ivan Olier, Dr Noureddin Sadawi, Dr Larisa Soldatova, Dr Crina Grosan, Prof Ross King, Dr Richard Bickerton, Prof Andrew Hopkins and Dr Willem van Hoorn
License: us-pd

by Dr Jeremy Besnard, Dr Ivan Olier, Dr Noureddin Sadawi, Dr Larisa Soldatova, Dr Crina Grosan, Prof Ross King, Dr Richard Bickerton, Prof Andrew Hopkins and Dr Willem van Hoorn

Sparse_ARFF

Available on 1 platform

Description

A release from the OpenML platform with the identifier QSAR-TID-10930. No information is available regarding its contents, size, or provenance.

Use Cases

null

Strengths

null

Limitations

The dataset description, column definitions, sample data, and row count are all unknown, making its utility and structure impossible to assess.

Provenance

Source: OpenML

Potential users should be aware that no metadata is provided to evaluate the dataset's suitability for any task before downloading.

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Dataset Info

License: us-pd
Author: Dr Jeremy Besnard, Dr Ivan Olier, Dr Noureddin Sadawi, Dr Larisa Soldatova, Dr Crina Grosan, Prof Ross King, Dr Richard Bickerton, Prof Andrew Hopkins and Dr Willem van Hoorn

Access

Community

0 views

Dataset Info

License: us-pd
Author: Dr Jeremy Besnard, Dr Ivan Olier, Dr Noureddin Sadawi, Dr Larisa Soldatova, Dr Crina Grosan, Prof Ross King, Dr Richard Bickerton, Prof Andrew Hopkins and Dr Willem van Hoorn

QSAR-TID-10930

Description

Use Cases

Strengths

Limitations

Provenance

Related Topics

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Quality Score

Community

Dataset Info

Community

Dataset Info