Extracts fitted (in-sample) predictions from models fitted with rf(), rf_repeat(), or rf_spatial().
Arguments
- model
Model object from
rf(),rf_repeat(), orrf_spatial().
Value
Numeric vector of fitted predictions with length equal to the number of training observations. For rf_repeat() models, returns the median prediction across repetitions.
Details
This function returns fitted predictions for the training data used to build the model, not predictions for new data. For out-of-sample predictions on new data use stats::predict().
See also
rf(), rf_repeat(), rf_spatial(), get_residuals()
Other model_info:
get_evaluation(),
get_importance(),
get_importance_local(),
get_moran(),
get_performance(),
get_residuals(),
get_response_curves(),
get_spatial_predictors(),
print.rf(),
print_evaluation(),
print_importance(),
print_moran(),
print_performance()
Examples
data(plants_rf)
# Extract fitted predictions
predictions <- get_predictions(plants_rf)
head(predictions)
#> [1] 4893.039 5554.766 1520.714 6482.056 9677.114 2902.869
# Check length matches number of observations
length(predictions)
#> [1] 227
# Compare with observed values to assess fit
# (observed values would be in original data)