Skip to content
master
Go to file
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 

README.md

####Supervised learning #####Linear Regression

File:LinearRegression.R

Required packages: car, lmtest, ggplot2

Input parameters:

    c_path_in                       - path pointing to the input .csv file
    c_path_out                      - output folder path
    c_var_in_independent            - one ore more independent variable(s)
    c_var_in_dependent              - one dependent variable

Outputs:

    parameterEstimates (Data Frame) - Contains estimates of all the inpendent variables used for building the model &
                                      is exported as Estimates.csv to the location "c_path_out"
    modelStatistic (Data Frame)     - Contains various model statistics & is exported as ModelStatistic.csv to the location                                                 "c_path_out"
    durbinWatsonTest (List)         - Contains statistic used for testing autocorrelation
    goldfledQuantdtTest (List)      - Contains statistic used for testing homoscedasticity
    ActualPredicted.png file is exported to the location "c_path_out"
    ResidualPredicted.png file is exported to the location "c_path_out"

#####Logistic Regression

File: LogisticRegression.R

Required packages: car, ResourceSelection, ggplot2

Input parameters:

c_path_in                        - path pointing to the input .csv file
c_path_out                       - output folder path
c_var_in_independent             - one or more independent variables
c_var_in_dependent               - one binary dependent variable
x_val_event                      - level of dependent variable

Outputs:

parameterEstimate(Data Frame)    - Contains estimates of all the independent varaible used for building the model & is 							   exported as Estimate.csv file to the location "c_path_out"
modelStatistic(Data Frame)       - Contains various model ststistics & is exported as ModelStatistic.csv to the location 						   "c_path_out"
hosmerLemeshowTest(List)         - Contains statistic for testing goodness of fit
ks_out(Data Frame)               - For measuring the performance of the classification model
GainsChart.png is exported to the location "c_path_out"
LiftChart.png is exported to the location "c_path_out"

File: LogisticModelAnalysis.R

Input parameters:

c_path_out                       - output folder path
modelObj                         - Logistic Model Object

Description:

Contains function for generating Confusion Matrix for all the cut points between 0.01 & 0.99. ROC curve & Sensitivity - Specificity curve is plotted & exported as ROC.png & Sensitivity-Specificity.png respectively to the location "c_path_out"

#####Bayesian Belief Network

Understanding Bayesian Network using bnlearn - R Package, 1 Scoring

#####Naive Bayes

####Classification #####EM Clustering

####Ensemble #####Random Forest

####Recommender System Introduction

####Factor Analysis #####Mutual Information

#####Linear Discriminant Analysis

File: Distance.R

Description:

Contains various method for calculating distance between two vectors

About

No description, website, or topics provided.

Resources

Releases

No releases published

Packages

No packages published

Languages

You can’t perform that action at this time.