Selecting classifiers techniques for outcome prediction for kvazistationarity process

This paper presents an analysis of different techniques designed to aid a researcher in determining which of the classification techniques would be most appropriate to choose the ridge, robust and linear regression methods for predicting outcomes for specific kvazistationarity processes.