knn: K-nearest neighbors classifier

In liyistat/knnAUC: k-nearest neighbors AUC test

Description

K-nearest neighbors classifier. We'll automatically find the best parameter k for knn from RWeka.

Usage

knn(train, test, k)

Arguments

train	A training dataset containing both a continuous variable (X) and a binary (0 or 1) variable (Y).
test	A testing dataset containing both a continuous variable (X) and a binary (0 or 1) variable (Y).
k	A positive integer, we'll automatically find the best parameter for knn between 1 and number k.

Value

yhat A vector, prediction probabilities of testy equals to 1.

Author(s)

Yi Li, [e-mail]

References

Yi Li, Xiaoyu Liu, et al. knnAUC : k-nearest neighbors AUC test. BMC Bioinformatics. 2018.

liyistat/knnAUC documentation built on May 12, 2019, 10:51 a.m.