Found 36 datasets matching "boosted regression tree".
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Spreadsheets are included here to support the manuscript "Boosted Regression Tree Models to Explain Watershed Nutrient Concentrations and Biological Condition". This dataset is associated with...
Search relevance: 267.75 | Views last month: 0 -
This USGS data release documents species distribution models for 271 fluvial fish species in their native ranges of the conterminous United States. Source data, supporting code and model results...
Search relevance: 185.84 | Views last month: 0 -
This USGS data release documents species distribution models for 419 fluvial fish species in their native ranges of the conterminous United States. Source data, supporting code and model results...
Search relevance: 167.19 | Views last month: 0 -
This data release contains: (1) ASCII grids of predicted probability of elevated arsenic in groundwater for the Northwest and Central Minnesota regions, (2) input arsenic and predictive variable...
Search relevance: 159.74 | Views last month: 0 -
This data release contains a boosted regression tree (BRT) model (written in the R programming language), and the input and output data from that model that were used to relate base flow nitrate...
Search relevance: 159.68 | Views last month: 0 -
Green and others (2021) developed a gradient boosted regression tree model to predict the mean groundwater age, or travel time, for shallow wells across a portion of the Great Lakes basin in the...
Search relevance: 148.62 | Views last month: 0 -
This data release contains the model inputs, outputs, and source code (written in R) for the boosted regression tree (BRT) and artificial neural network (ANN) models developed for four sites in...
Search relevance: 139.85 | Views last month: 0 -
This data release includes concentrations of contaminants of emerging concern (CEC), by chemical class, for sites sampled within 25 river basins in the U.S. portion of the Great Lakes basin and...
Search relevance: 114.28 | Views last month: 0 -
Groundwater from the Mississippi River Valley alluvial aquifer (MRVA) is a vital resource for agriculture and drinking-water supplies in the central United States. Water availability can be...
Search relevance: 113.86 | Views last month: 0 -
Groundwater is a vital resource to the Mississippi embayment region of the central United States. Regional and integrated assessments of water availability that link physical flow models and water...
Search relevance: 103.65 | Views last month: 0 -
Groundwater is a vital resource to the Mississippi embayment region of the central United States. Regional and integrated assessments of water availability that link physical flow models and water...
Search relevance: 102.73 | Views last month: 0 -
Groundwater is a vital resource to the Mississippi embayment region of the central United States. Regional and integrated assessments of water availability that link physical flow models and water...
Search relevance: 102.60 | Views last month: 0 -
Residence time distribution (RTD) is a critically important characteristic of groundwater flow systems; however, it cannot be measured directly. RTD can be inferred from tracer data with...
Search relevance: 102.33 | Views last month: 2 -
Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity—including...
Search relevance: 96.42 | Views last month: 0 -
Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity—including...
Search relevance: 95.49 | Views last month: 2 -
Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity—including...
Search relevance: 95.49 | Views last month: 1 -
Boosted regression trees (BRT), a type of ensemble-tree machine-learning method, were used to predict specific conductance concentration at multiple depths throughout the Mississippi River Valley...
Search relevance: 95.33 | Views last month: 0 -
Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity—including...
Search relevance: 93.27 | Views last month: 0 -
Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity—including...
Search relevance: 93.27 | Views last month: 0 -
Groundwater is a vital resource in the Mississippi embayment physiographic region (Mississippi embayment) of the central United States and can be limited in some areas by high concentrations of...
Search relevance: 86.94 | Views last month: 2
