Literature Review of Machine Learning Methods for GCO Prediction

Presenting a literature table compiling previous studies that applied machine learning methods for GCO prediction. The data is provided in an XLS file with a size of 13.5 KB, authored by Uğur Ejder and last updated in March 2026.

Use Cases

• Analyze the distribution of Machine Learning methods cited across studies for GCO Prediction.
• Map the evolution of Predictive Modeling techniques used in GCO research over time.
• Identify common themes or gaps in the Literature Review of GCO Prediction studies.

Strengths

• Data is recent, with a last update in March 2026.
• The dataset is openly licensed under CC BY 4.0.
• Focuses on a specific research niche: GCO prediction using machine learning.

Limitations

• The dataset is very small at 13.5 KB, indicating limited scope and likely a low number of compiled studies.
• Key structural details like row count and column names are unknown, limiting analytical planning.
• The data source and methodology for the literature compilation are not described.

Provenance

Source

figshare, authored by Uğur Ejder.

Collection Method

Compiled as a literature review table.

Freshness

Last updated 2026-03-20.