dummyRegressor: a method used for the train function in caret

In basemodels: Baseline Models for Classification and Regression

a method used for the train function in caret

Description

a method used for the train function in caret

Usage

dummyRegressor

Format

An object of class list of length 13.

Examples

# Split the data into training and testing sets
set.seed(2023)
index <- sample(1:nrow(iris), nrow(iris) * 0.8)
train_data <- iris[index,]
test_data <- iris[-index,]

ctrl1 <- caret::trainControl(method = "none")
# Train a dummy regressor with caret
reg_model <- caret::train(Sepal.Length ~ ., data = train_data,
                               method = dummyRegressor,
                               strategy = "median",
                               trControl = ctrl1)
y_hat <- predict(reg_model, test_data)
# Find mean squared error
mean((test_data$Sepal.Length-y_hat)^2)

basemodels documentation built on Aug. 9, 2023, 9:09 a.m.