Machine Learning Model Performance Metrics for Drug Compound Activity Prediction

A comparison of cross-validation and test set performance metrics for machine learning models applied to drug compound activity prediction. The dataset was authored by Rui Zhang and last updated on May 22, 2026. It is a 5.5 KB Excel file available under a CC-BY-4.0 license.

Use Cases

• Comparing model validation strategies based on the described performance metrics
• Benchmarking machine learning algorithms for drug activity prediction based on the described evaluation
• Analyzing the reliability of cross-validation estimates for QSAR models based on the described comparison

Strengths

• File size is 5.5 KB, indicating a compact and focused dataset
• Dataset is licensed under CC-BY-4.0, permitting open sharing and reuse
• Last update timestamp is explicitly provided as 2026-05-22 17:43:06

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download

Provenance

Source

figshare

Collection Method

Likely contains results from computational experiments comparing model validation methods.

Time Range

Publication date is 2026-05 -22.

Freshness

Last updated 2026-05-22 17:43:06; freshness should be verified

Geography

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