bestset: Extract the Best Subset of Feature from Selection Process

In rknn: Random KNN Classification and Regression

Description

Extract the best subset of feature from selection process.

Usage

  bestset(x, criterion=c("mean_accuracy", "mean_support"))
  prebestset(x,  criterion=c("mean_accuracy", "mean_support"))

Arguments

x	An object returned by rknnBeg or rknnBel.
criterion	either uses mean_accuracy or mean_support for best.

Value

A character vector of feature names.

Author(s)

Shengqiao Li<[e-mail]>

See Also

rknnBeg, rknnBel

Examples

## Not run: bestset{x}

Example output

Loading required package: gmp

Attaching package: 'gmp'

The following objects are masked from 'package:base':

    %*%, apply, crossprod, matrix, tcrossprod

rknn documentation built on May 2, 2019, 12:35 p.m.