knn_nas_imp

A data.frame with independent variables.

A list contains nas rate of each variable.

nas_rate

A shadow matrix of variables which contain nas.

mat_nas_shadow

A data.frame with random nas imputation.

dt_nas_random

Number of neighbors of each obs which x is missing.

Logical.Standardization of variable.

scale

The methods of imputation by knn."median" is knn imputation by k neighbors median.

method

This function is not intended to be used by end user.

Provides a toolkit for building predictive models in one integrated offering. Contains infrastructure functionalities such as data exploration and preparation, missing values treatment, outliers treatment, variable derivation, variable selection, dimensionality reduction, grid search for hyperparameters, data mining and visualization, model evaluation, strategy analysis etc. 'creditmodel' is designed to make the development of binary classification models (machine learning based models as well as credit scorecard) simpler and faster.

knn_nas_imp: Imputate nas using KNN

Description

Usage

Arguments