analysis_nas

A data.frame with independent variables and target variable.

Logical, nas analysis of the nominal variables. Default is TRUE.

class_var

A list contains nas rate of each variable.

nas_rate

Names of variables which contain nas.

na_vars

A shadow matrix of variables which contain nas.

mat_nas_shadow

A data.frame with random nas imputation.

dt_nas_random

#' <code>analysis_nas</code> is the function for missing value analysis

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.

analysis_nas: Missing Analysis

Description

Usage

Arguments

Value