local_outlier_factor

A data.frame contained only predict variables.

Number of neighbors for LOF.Default is 10.

local_outlier_factor
<code>local_outlier_factor</code> is function for calculating the lof factor for a data set using knn
This function is not intended to be used by end user.

Provides a highly efficient R tool suite for Credit Modeling, Analysis and Visualization.Contains infrastructure functionalities such as data exploration and preparation, missing values treatment, outliers treatment, variable derivation, variable selection, dimensionality reduction, grid search for hyper parameters, data mining and visualization, model evaluation, strategy analysis etc. This package is designed to make the development of binary classification models (machine learning based models as well as credit scorecard) simpler and faster. The references including: 1 Refaat, M. (2011, ISBN: 9781447511199). Credit Risk Scorecard: Development and Implementation Using SAS; 2 Bezdek, James C.FCM: The fuzzy c-means clustering algorithm. Computers & Geosciences (0098-3004),<DOI:10.1016/0098-3004(84)90020-7>.

Dongping Fan

creditmodel

Toolkit for Credit Modeling, Analysis and Visualization

local_outlier_factor function

local_outlier_factor
<code>local_outlier_factor</code> is function for calculating the lof factor for a data set using knn
This function is not intended to be used by end user. — local_outlier_factor

local_outlier_factor
<code>local_outlier_factor</code> is function for calculating the lof factor for a data set using knn
This function is not intended to be used by end user.

local_outlier_factor: local_outlier_factor `local_outlier_factor` is function for calculating the lof factor for a data set using knn This function is not intended to be used by end user.

Description

Usage

Arguments