Employment Prediction Using Logistic Regression Algorithm

Abstract

Prediction is a forecast of an event which may happen in future. Predictions are not necessary based upon the prior knowledge or experience for an event of interest. Every person does predictions but the quality of the predictions differs from person to person and that classifies them as a successful or unsuccessful person. In order to make quality predictions it is necessary to automate the making prediction process. Machine Learning is a field where in computer machines are trained to make accurate predictions. Some of the applications of machine learning predictions are weather forecasting, disease detection, traffic prediction, email and malware detection, fraud detection. Prediction of employability for a candidate in a recruitment process is been calculated by using machine learning. Organizations are now investing in machine learning based automated systems for identifying a right skilled candidate. This research introduces a model buildout to predict the employability of a candidate by using Logistic Regression. A group of aspirants were tested in the suggested model and outcome are analyzed in this research paper.