predict_dummy_classifier {basemodels} | R Documentation |
dummy classifier predictor
Description
dummy classifier predictor
Usage
predict_dummy_classifier(object, X)
Arguments
object |
a list created using dummy classifier. |
X |
a data frame. |
Value
predicted values for the response variable.
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,]
dummy_model <- dummy_classifier(train_data$Species, strategy = "proportional", random_state = 2024)
# Make predictions using the trained dummy classifier
pred_vec <- predict_dummy_classifier(dummy_model, test_data)
# Evaluate the performance of the dummy classifier
conf_matrix <- caret::confusionMatrix(pred_vec, test_data$Species)
print(conf_matrix)
[Package basemodels version 1.1.0 Index]