Implementation of machine learning algorithm on factors effecting divorce rate

With the expanding number of marriages the quantity of detachment and separation are additionally expanding. The major factors that prompt separation can be numerous and there are numerous calculations in machine figuring out how to characterize the variables. The quantity of separation can be avoided and diminished on the off chance that we can have a decent information about the fundamental reasons and practices that can lead a connection to its end. In this paper we have taken a sample data set having some major attributes that causes divorce and comprehended it using 3 different classification algorithm and compared their outcomes. On the premise of their outcomes, we have concluded that which algorithm is more effective for the characterization of the data set in this application.