Machine Learning in Labor Migration Prediction

A prediction or forecast can be defined as statement about an uncertain event in the future. Accurate prediction helps to prevent or mitigate possible risks and accordingly reduce the risk of loss. Inductive machine learning is the process of learning a set of rules from instances (examples in a training set), or more generally speaking, creating a classifier that can be used to generalize from new instances. The data analysis task classification is where a model or classifier is constructed to predict categorical labels (the class label attributes). Classification is a data mining function that assigns items in a collection to target categories or classes. The goal of classification is to accurately predict the target class for each case in the data. For example, a classification model could be used to identify loan applicants as low, medium, or high credit risks.