model_evaluation_examples: Examples for model evaluation functions
In mlspatial: Machine Learning and Mapping for Spatial Epidemiology
model_evaluation_examples R Documentation
Examples for model evaluation functions
Description
Examples for model evaluation functions
Examples
library(randomForest)
library(caret)
data(panc_incidence)
mapdata <- join_data(africa_shp, panc_incidence, by = "NAME")
rf_model <- randomForest(incidence ~ female + male + agea + ageb + agec + fagea + fageb + fagec +
magea + mageb + magec + yrb + yrc + yrd + yre, data = mapdata, ntree = 500,
importance = TRUE)
rf_preds <- predict(rf_model, newdata = mapdata)
rf_metrics <- postResample(pred = rf_preds, obs = mapdata$incidence)
print(rf_metrics)
mlspatial documentation built on Aug. 27, 2025, 1:09 a.m.
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| model_evaluation_examples | R Documentation |
Examples for model evaluation functions
Description
Examples for model evaluation functions
Examples
library(randomForest)
library(caret)
data(panc_incidence)
mapdata <- join_data(africa_shp, panc_incidence, by = "NAME")
rf_model <- randomForest(incidence ~ female + male + agea + ageb + agec + fagea + fageb + fagec +
magea + mageb + magec + yrb + yrc + yrd + yre, data = mapdata, ntree = 500,
importance = TRUE)
rf_preds <- predict(rf_model, newdata = mapdata)
rf_metrics <- postResample(pred = rf_preds, obs = mapdata$incidence)
print(rf_metrics)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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