forestError
Prediction error estimator
A framework for estimating prediction error in machine learning models using random forest techniques
A Unified Framework for Random Forest Prediction Error Estimation
26 stars
3 watching
4 forks
Language: R
last commit: over 3 years ago
Linked from 1 awesome list
inferenceintervalsmachine-learningmachinelearningpredictionrrandom-forestrandomforeststatistics
sacridini/awesome-geospatialRelated projects:
| Repository | Description | Stars |
|---|---|---|
 masatoi/cl-random-forest | An implementation of Random Forest for multiclass classification and univariate regression in Common Lisp. | 59 |
 mljs/random-forest | A JavaScript implementation of a random forest algorithm for classification and regression tasks. | 61 |
 fxsjy/rf.go | An implementation of Random Forest algorithm in GoLang for classification and regression tasks. | 114 |
 ghislainv/forestatrisk | A Python package for modeling and forecasting deforestation risk in tropical regions using spatial analysis and machine learning techniques. | 117 |
 denissimon/prediction-builder-swift | A linear regression library for building predictions in machine learning | 12 |
 edgararuiz/tidypredict | An R package for translating predictive models into executable SQL queries to run predictions inside databases. | 2 |
 clu5/federated-conformal | A framework for incorporating uncertainty quantification into federated learning models | 10 |
 robinthibaut/skbel | A Python framework for Bayesian inference and regression using Gaussian processes. | 22 |
 ropensci/allodb | Provides tools and datasets for estimating biomass in extratropical forests using allometric equations | 36 |
 rmarko/explainprediction | An R package for explaining the predictions made by machine learning models in data science applications. | 2 |
 cbcrg/unistrap | Estimates the reliability of inferred phylogenetic trees by calculating support values for branch topology | 6 |
 anellenson/decisiontree_waveforecasts | An application of machine learning to analyze wave model output and identify error patterns | 2 |
 dmitryikh/leaves | A Go library implementing prediction code for Gradient Boosting Regression Trees (GBRT) models from popular frameworks. | 432 |
 judyboon/bass | An implementation of a Bayesian factor analysis model with structured sparsity priors for multivariate data | 20 |
 andosa/treeinterpreter | Provides a way to decompose scikit-learn model predictions into bias and feature contribution components. | 745 |