summary.orf.prediction: Summary of the Ordered Forest Prediction

In orf: Ordered Random Forests

Summary of the Ordered Forest Prediction

Description

summary of Ordered Forest predictions of class orf.prediction

Usage

## S3 method for class 'orf.prediction'
summary(object, latex = FALSE, ...)

Arguments

object	predicted Ordered Forest object of class orf.prediction
latex	logical, if TRUE latex coded summary will be generated (default is FALSE)
...	further arguments (currently ignored)

Details

summary.orf.prediction provides a main summary of the Ordered Forest prediction, including the input information regarding the values of hyperparameters as well as the inputs of the predict.orf function.

Author(s)

Gabriel Okasa

Examples

# Ordered Forest
require(orf)

# load example data
data(odata)

# specify response and covariates for train and test
idx <- sample(seq(1, nrow(odata), 1), 0.8*nrow(odata))

# train set
Y_train <- as.numeric(odata[idx, 1])
X_train <- as.matrix(odata[idx, -1])

# test set
Y_test <- as.numeric(odata[-idx, 1])
X_test <- as.matrix(odata[-idx, -1])

# estimate Ordered Forest
orf_fit <- orf(X_train, Y_train)

# predict the probabilities with the estimated orf
orf_pred <- predict(orf_fit, newdata = X_test)

# summary of the prediction object
summary(orf_pred)

# show summary of the orf prediction coded in LaTeX
summary(orf_pred, latex = TRUE)

orf documentation built on July 24, 2022, 1:05 a.m.