Machine Learning Model Performance for Suicide Attempt Prediction

Catherine Park's 5.5 KB dataset on figshare compares the predictive performance of various machine learning models for suicide attempts. It was last updated in April 2026. The dataset is stored in an XLS file format.

Use Cases

• Compare model performance metrics like AUC or accuracy across different algorithms for suicide attempt prediction.
• Analyze feature importance rankings to identify key predictors of suicide attempts from the model evaluation data.
• Benchmark the performance of a new predictive model against the results documented in this dataset.

Strengths

• Dataset is openly licensed under CC-BY-4.0 for flexible reuse.
• File size of 5.5 KB indicates a focused, easily accessible collection of model performance data.

Limitations

• The dataset is very small at 5.5 KB, limiting the depth and scope of analysis.
• No column names or sample data are provided, obscuring the specific metrics and features available.

Provenance

Source

figshare, authored by Catherine Park.

Freshness

Last updated in April 2026.