Daily Estimates of Chlorophyll Concentration for 82 U.S. Rivers: 2. Model Inputs and Outputs
Dates
Creation
2022-11-28
Publication Date
2023-10-30
Citation
Savoy, P., and Harvey, J.W., 2023, Daily estimates of chlorophyll concentration for 82 U.S. rivers: U.S. Geological Survey data release, https://doi.org/10.5066/P92WK0OJ.
Summary
This child item dataset includes inputs to and outputs from an extreme gradient boosting model (XGBoost) to predict daily chlorophyll concentrations. Included in this dataset are the necessary model inputs, observed chlorophyll concentrations, and SHapley Additive exPlanations (SHAP) values. SHAP values were used to assess the contribution of each variable to estimated chlorophyll.
Summary
This child item dataset includes inputs to and outputs from an extreme gradient boosting model (XGBoost) to predict daily chlorophyll concentrations. Included in this dataset are the necessary model inputs, observed chlorophyll concentrations, and SHapley Additive exPlanations (SHAP) values. SHAP values were used to assess the contribution of each variable to estimated chlorophyll.
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model inputs and outputs.xml Original FGDC Metadata
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Purpose
This child item dataset includes inputs to and outputs from an extreme gradient boosting model (XGBoost) to predict daily chlorophyll concentrations. Included in this dataset are the necessary model inputs, observed chlorophyll concentrations, and SHapley Additive exPlanations (SHAP) values. SHAP values were used to assess the contribution of each variable to estimated chlorophyll.
