Evaluation and Comparison of Job Prediction Model

Abstract

There is a huge amount of data available over the internet which needs to be mined in order to make that data useful and also there is a need of predictive analytics in order to make the predictions for future outcomes. Artificial neural network plays the crucial part in this scenario as it’s one of promising techniques that can be used to analyze the data with greater accuracy as it has the capability to do complex calculation with ease. This technique makes use of some learning algorithms to train the network. We have proposed and developed a model for job prediction using one input layer, two hidden layers and one output layer using artificial neural network and back propagation algorithm. So, in this paper, some of the learning algorithms have been discussed as well as a comparison is made between the existing model and proposed model for job prediction based on some parameters. This paper also includes the result of the model for predicting the jobs of applicants.

Keywords: Predictive Analytics, Artificial Neural Network, Learning Algorithms.