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Artificial Intelligence for Hiring

Journal: International Journal of Science and Research (IJSR) (Vol.9, No. 11)

Publication Date:

Authors : ; ;

Page : 457-461

Keywords : XGBoost Classifier; Random Forest Classifier; Gradient Boosting Classifier; Decision Tree Classifier; Logistic Regression; Support Vector Machine; K-Nearest Neighbour; Multi-Layer Perceptron; MLP; Classifier; Extra Trees Classifier; Machine Learning; Arti;

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Artificial Intelligence (AI) for hiring is a very important category under HR to reduce time-consuming activities like manually screening of resumes. AI in HR provides a simple way not only to reach out to possible candidates, but also screen, rank, and shortlist their resumes based on the traits most relevant to your company. This paper gives us the idea of predicting the number of students placed using machine learning algorithms. We have used various machine learning algorithms like XGBoost Classifier, Random Forest Classifier, Gradient Boosting Classifier, Decision Tree Classifier, Logistic Regression, Support Vector Machine, K-Nearest Neighbour, Multi-Layer Perceptron (MLP) Classifier, and Extra Trees Classifier. The algorithms were used based on the number of features and for predicting students placed or not. We also compare the accuracy of different algorithms.

Last modified: 2021-06-28 17:16:04