Resource Catalog
Tool
Developer(s):
- Elizabeth A. FreemanUS Forest Service, Rocky Mountain Research Station
- Tracey S. FrescinoUS Forest Service, Rocky Mountain Research Station
Contact(s):
- Elizabeth A. FreemanUS Forest Service, Rocky Mountain Research Station
Publication Date: January 23, 2023
Creates sophisticated models of training data and validates the models with an independent test set, cross validation, or Out Of Bag (OOB) predictions on the training data. Create graphs and tables of the model validation results. Applies these models to GIS .img files of predictors to create detailed prediction surfaces. Handles large predictor files for map making, by reading in the .img files in chunks, and output to the .txt file the prediction for each data chunk, before reading the next chunk of data.
Online Link(s):
Cataloging Information
Keywords:
- random forests
- stochastic gradient boosting
Record Last Modified:
Record Maintained By: FRAMES Staff (https://www.frames.gov/contact)
FRAMES Record Number: 24760