Machine Learning Predictions for Molecular Property Analysis

Mythili V published a dataset of prediction results from multiple machine learning models on 2026-05-21. The data includes predicted values, actual values, and performance outputs from a comparative analysis study. It was generated to analyze relationships between molecular descriptors, topological indices, and physicochemical properties of selected compounds.

Use Cases

• Comparative performance analysis of regression models based on predicted and actual values.
• Validation and reproducibility of cheminformatics studies based on the described evaluation outputs.
• Future research on molecular property prediction based on topological indices and descriptors.

Strengths

• Dataset is licensed under CC-BY-4.0, allowing for broad reuse.
• Explicitly intended to support reproducibility and validation in cheminformatics.

Limitations

• Row count, file formats, and column-level documentation are unknown.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Mythili V via figshare

Collection Method

Outputs generated from multiple machine learning models for a comparative analysis study.

Freshness

Last updated 2026-05-21 04:20:32; freshness should be verified.