daltoolbox (version 1.2.747)

reg_knn: K-Nearest Neighbors (KNN) Regression

Description

KNN regression using FNN::knn.reg, predicting by averaging the targets of the k nearest neighbors.

Usage

reg_knn(attribute, k)

Value

returns a knn regression object

Arguments

attribute

attribute target to model building

k

number of k neighbors

Details

Non‑parametric approach suitable for local smoothing. Sensitive to feature scaling; consider normalization beforehand.

References

Altman, N. (1992). An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression.

Examples

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