dummyClassifier: 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

dummyClassifier

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 classifier with caret
dummy_model <- caret::train(Species ~ ., data = train_data,
                               method = dummyClassifier,
                               strategy = "stratified",
                               trControl = ctrl1)

# Make predictions using the trained dummy classifier
pred_vec <- predict(dummy_model, test_data)

# Evaluate the performance of the dummy classifier
conf_matrix <- caret::confusionMatrix(pred_vec, test_data$Species)
print(conf_matrix)

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