To avoid fraudulent post for job in the internet, an automated tool using machine learning based classification
techniques. Different classifiers are used for checking fraudulent post in the web and the results of those classifiers are
compared for identifying the best employment scam detection model. It helps in detecting fake job posts form an enormous
number of posts. Two major types of classifiers, such as single classifier and ensemble classifiers are considered for fraudulent
job posts detection. However, experimental results indicate that ensemble classifiers are the best classification to detect scams
over the single classifiers.
