Artificial Intelligence for Hiring
Journal: International Journal of Science and Research (IJSR) (Vol.9, No. 11)Publication Date: 2020-11-05
Authors : Ishan Borker; Ashok Veda;
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;
Abstract
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.
Other Latest Articles
- Case Study: ECBC Compliance Building, Wisdom Ark School Mohali, Punjab
- Effect of Alphacypermethrin (Pyrethroid) on the Thyroid Gland of Fresh Water Air-Breathing Fish Clarias Batrachus (Linn)
- To Study the Attitude of Teachers and Parents of Kasturba Gandhi Balika Vidyalaya and Government Upper Primary Schools in Changlang and East Siang Districts of Arunachal Pradesh - A Comparative Study
- To Analyze the Effectiveness of Low-Level Laser Therapy and Sham Laser in Patients with Temporomandibular Disorder
- Is Astigmatism a Common Problem in Urban Population of South India
Last modified: 2021-06-28 17:16:04