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QSAR-TID-10544 | DataSalon

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Chemistry

QSAR-TID-10544

Name: QSAR-TID-10544
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

This is the QSAR-TID-10544 dataset from the OpenML platform. No information is available regarding its contents, size, or structure.

Use Cases

null

Strengths

null

Limitations

No descriptive metadata, column definitions, or sample data are provided, making assessment impossible.
The dataset's size, format, and license are unknown, posing significant usability risks.

Provenance

Source: OpenML

The dataset lacks all descriptive metadata; users must download it to discover its contents, structure, and license.

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Quality Score

C45

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Reputation

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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-10544

Description

Use Cases

Strengths

Limitations

Provenance

Related Topics

Related Datasets

Quality Score

Community

Dataset Info

Community

Dataset Info