Machine Learning Model Factor Rankings and Validation Results

Rankings for eight factors used in a machine learning model and validation results from 50 validation datasets. The dataset is a 5.5 KB XLS file created by Catherine Park and last updated in April 2026.

Use Cases

• Analyze the relative importance ranking of the eight model factors to identify key predictors.
• Validate model performance using the results from the 50 validation datasets to assess generalizability.
• Compare factor rankings against validation outcomes to study feature stability across different data splits.

Strengths

• Validation results are based on 50 distinct datasets.
• Includes rankings for eight specific model factors.

Limitations

• Dataset is very small at 5.5 KB, indicating limited scope.
• No raw data or column definitions are provided, only derived results.
• Cannot assess sample size or data diversity underlying the validation.

Provenance

Source

Catherine Park via figshare.

Collection Method

Derived from machine learning model analysis and validation.

Freshness

Last updated in April 2026.