Shows the forest's shape (formula, n, number of trees, mtry, node
size) along with the out-of-bag error and, prominently, whether the
coordinates were used as predictors. That last line is the one to check:
a forest fitted with include_coords = TRUE can memorise location and
score well out-of-bag while failing everywhere it has not been.
Usage
# S3 method for class 'rf_fit'
print(x, ...)See also
Other methods on a fitted model:
coef.bayesian_fit(),
coef.gwr_fit(),
coef.rf_fit(),
fitted.bayesian_fit(),
fitted.gwr_fit(),
fitted.rf_fit(),
model_metrics(),
predict.bayesian_fit(),
predict.gwr_fit(),
predict.rf_fit(),
print.spatial_fit(),
residuals.bayesian_fit(),
residuals.gwr_fit(),
residuals.rf_fit(),
summary.spatial_fit()