Fig 15.opju: Machine Learning Model Predictions for Displacement and Load

73.3 KB Origin project file compares predicted versus actual values for a structural engineering model. The file shows prediction accuracy for displacement and ultimate load, including the corresponding error distribution. Authored by Hongtao Zhang and last updated on June 1, 2026.

Use Cases

• Validate model accuracy based on predicted vs. actual displacement values.
• Analyze error distribution patterns for ultimate load predictions.
• Benchmark machine learning performance for structural engineering tasks based on the described metrics.

Strengths

• File size is precisely 73.3 KB.
• Includes specific metrics for displacement and ultimate load prediction accuracy.
• Released under the permissive CC-BY-4.0 license.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is contained in a proprietary OPJU file format requiring specific software to open.

Provenance

Source

Hongtao Zhang via figshare.

Collection Method

Likely generated as part of a machine learning model evaluation project.

Freshness

Last updated 2026-06-01 17:33:06; freshness should be verified.