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QSAR-TID-107 | DataSalon

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Chemistry

QSAR-TID-107

Name: QSAR-TID-107
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

Titled QSAR-TID-107 and is hosted on the OpenML platform. No information is available regarding its contents, size, authorship, or structure.

Use Cases

No specific use cases can be generated as no column names or data features are provided.

Strengths

The dataset is listed on the OpenML platform, a known repository for machine learning data.

Limitations

All key metadata is unknown, including row count, column count, data types, and sample data, preventing any assessment of utility.

Provenance

Source: OpenML

Potential users should be aware that no descriptive information is available to evaluate the dataset's suitability for a 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-107

Description

Use Cases

Strengths

Limitations

Provenance

Related Topics

Related Datasets

Quality Score

Community

Dataset Info

Community

Dataset Info