reg_knn | R Documentation |
Creates a regression object that uses the K-Nearest Neighbors (knn) method for regression
reg_knn(attribute, k)
attribute |
attribute target to model building |
k |
number of k neighbors |
A knn regression object
data(Boston)
model <- reg_knn("medv", k=3)
# preparing dataset for random sampling
sr <- sample_random()
sr <- train_test(sr, Boston)
train <- sr$train
test <- sr$test
model <- fit(model, train)
test_prediction <- predict(model, test)
test_predictand <- test[,"medv"]
test_eval <- evaluate(model, test_predictand, test_prediction)
test_eval$metrics
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