Final Hyperparameter Configurations for Drug Compound Activity Prediction Models

A collection of final hyperparameter configurations for machine learning models used in drug compound activity prediction. The dataset was authored by Rui Zhang and last updated on May 22, 2026. It is a small file of 9.5 KB stored in XLS format.

Use Cases

• Benchmarking model performance based on the described hyperparameter configurations.
• Reproducing published drug activity prediction experiments based on the provided settings.
• Informing hyperparameter search strategies for new drug discovery projects based on the documented values.

Strengths

• File size is precisely 9.5 KB, indicating a compact and focused dataset.
• Has a clear Creative Commons Attribution 4.0 license (CC-BY-4.0) for reuse.
• Last update timestamp is precisely documented as 2026-05-22 17:43:07.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale analysis.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Rui Zhang via figshare.

Collection Method

Likely compiled from machine learning experiments in drug discovery.

Time Range

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Freshness

Last updated 2026-05-22 17:43:07; freshness should be verified.

Geography

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