EMPLOYEE PAYROLL DATA ANALYSIS USING MACHINE LEARNING

EMPLOYEE PAYROLL DATA ANALYSIS USING MACHINE LEARNING

1MOHAMAD KAIF M M, 2ROOPA R

[1] Student, Department of MCA, BIET, Davangere

[2] Assistant Professor Department of MCA, BIET, Davangere

ABSTRACT:

Every company is using machine learning to predict their employees' working styles and competence by estimating how long it will take them to complete a task. The effectiveness of various classification algorithms for predicting employee salary classes has been the subject of numerous recent studies. Salary prediction appears to be a challenging endeavor from the perspective of machine learning because of the low sample size, relatively high dimensionality, and presence of noise. Deeper architectures are required to address this and locate more useful features. Also, more information investigation and information handling can be commonsense to make the forecast model go past the relationship and accuracy guidelines by highlight extraction methods.