Absenteeism Prediction: A Comparative Study Using Machine Learning Models

摘要: Solidity of companies or institutions is related to several factors but mostly absenteeism. Taking annual leave pre-determined absent days personnel may be covered by others however, unexpected absenteeism causes irredeemably poor results. Prediction the correlation between this and a challenging task includes non-linear relationship. Neural Network based Machine Learning models are built solve kind problems using their non-deterministic nature. In research, three neural network models; Backpropagation, Radial Basis Function Long-Short Term Memory networks, implemented prediction problem addition, comparative study conducted these models. Two experiments with different training ratios evaluation criteria considered implemented. The experimental results suggested that has very high rates as 99.9% in consists complex data it produced superior than other two