Variable Ranges for Lower Pest Density from SHAP Analysis

A 5.5 KB XLS file published on figshare by Yunus Güral in April 2026. It contains variable ranges identified through SHAP analysis as associated with lower predicted pest population density. The dataset is licensed under CC-BY-4.0 and appears to be derived from a machine learning model evaluation in an agricultural context.

Use Cases

• Interpreting feature importance for pest population models based on SHAP analysis results.
• Designing agricultural interventions based on variable ranges linked to lower pest density.
• Comparing model performance in binary classification scenarios for ecological prediction.
• Validating machine learning approaches for capturing highly nonlinear relationships in agricultural systems.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Uses a permissive CC-BY-4.0 license, allowing for broad reuse.
• Focuses on interpretable outputs (SHAP analysis) from a machine learning model.

Limitations

• Row count and column definitions are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.
• The dataset's specific source, methodology, and geographic/temporal coverage are not detailed.

Provenance

Source

Yunus Güral via figshare.

Collection Method

Likely derived from SHAP analysis of a machine learning model for pest population prediction.

Time Range

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Freshness

Last updated 2026-04-03 17:49:03; freshness should be verified.

Geography

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