ML Model Training Configurations for MLP, CNN, and Transformer Architectures

5.5 KB of training configuration data for standalone and ensemble machine learning models, authored by Vijay U. Rathod and shared on figshare under a CC-BY-4.0 license. The dataset was last updated on May 8, 2026. It contains configurations for models including MLP, CNN, FT-Transformer, and their ensembles with Autoencoders.

Use Cases

• Reproduce training experiments for standalone MLP, CNN, or FT-Transformer models based on the provided configurations.
• Benchmark ensemble model performance (MLP+AE, CNN+AE, FT+AE) using the specified training parameters.
• Analyze hyperparameter choices for different neural network architectures mentioned in the description.

Strengths

• File size is precisely 5.5 KB, indicating a focused and manageable scope.
• License is clearly specified as CC-BY-4.0, permitting broad reuse with attribution.
• Last update timestamp (2026-05-08 17:34:21) is provided for version tracking.

Limitations

• Row count is unknown, which may limit suitability assessment.
• 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

figshare

Freshness

Last updated 2026-05-08 17:34:21; freshness should be verified.