Ensemble learning is a creative field in Machine Learning. Since it is based on the assumption that combining the output of multiple models is better than using a single model. So, the main Purpose of this project is to apply the various Feature Selection Algorithm in a single data set to find the Ranks of the particular data set while go through with different feature selection algorithms . Feature selection consists of selecting the relevant features for a problem and discard those irrelevant or redundant, with the main goal of improving classification accuracy.