Open AccessHR Analytics using R Machine Learning Algorithm : Multiple Linear Regression Analysis
Author(s) -
A. Alavudeen Basha,
M. Srivani,
Mr. B. Ankaiah,
Mr. U. Dadakalandar,
Mr. T. Srinivaslulu
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.e2789.039520
Subject(s) - reliability (semiconductor) , machine learning , computer science , artificial intelligence , analytics , linear regression , data analysis , regression analysis , test (biology) , algorithm , data science , data mining , paleontology , power (physics) , physics , quantum mechanics , biology
The purpose of empirical research study to know the impact of various HRD practices and its impact on predictor (job satisfaction). The structured survey research instrument was used to gather the data from 500 sample respondents. The questionnaire was validated with pilot study and data was with crone Bach’s alpha reliability test. The results of the outcome validated with R-Machine Learning Algorithm, multiple linear regression analysis with the help of train data and test data (30:70) ratio. Furthermore results reveals corrgram plot, matrix correlation plot and validation of data with validation match test among various HRD practices and it’s inter relationship. The analysis supported with various reviews which include both western and Indian reviews. The study can be generalized to any sector wherever HRD practices can be implemented. The study feasible/applicable to social implications and employee concern problems and related productivity. The study provides new insights to the readers and analysis which was not published by any other in the relevant topic related machine learning algorithm in analytics world.