Complete Study of Machine Learning Algorithm for Recruitment Predictions

Abstract

The research work has objective to find the chance of recruitment from the educational institute in the reputed companies. Prediction of recruitment for the students has been done in this work.The research work has been done using machine learning based techniques. Four machine learning algorithms have been used for predicting the recruitment of the appropriate candidates. The features have been extracted first as the genders, age, work experiences, hike of the salary etc. The first work is to classify the resumes using the machine learning algorithm like support vector machine. After that the best resumes have been chosen using different machine learning algorithms like ID3, decision tree, random forest, and K nearest neighbor (KNN), Support Vector machine (SVM). The results from the machine learning algorithms have been compared in the study. Some of the performance metric has been used for comparison of the performance of the machine learning algorithms. These performance metrics are like precision, recall, f1 score etc. In this work, support vector machine has provided the best performance in terms of accuracy, precision, recall, and f1 score. This work provides a better comparison study of machine learning algorithms. This work is novel in term of using the all leading machine learning algorithms for the prediction of recruitment. No work has been done previously where all of the leading machines learning algorithms have been used for the problem of recruitment prediction.  This work is quite impressing that provides a very important aspect of the problem recruitment predictions using machine learning based algorithms.