A note on rank correlation and semi-supervised machine learning based measure

This paperwork deals with similarity measure using Kendall's coefficient tau and spearman's coefficient rho. The results for the same ordinal values of two variables that are related and we are also going to describe a note of study in sample data that we got using the semi-supervised machine learning predication. We will use simple linear regression model technique to predict. Here we use Pearson correlation to calculate simple linear regression. Though this two coefficient (rank correlation) looks similar it has some differences which give major change as far as rank correlation results are concerned. And finally we will elaborate which one has more advantage and which is better to use and we will elaborate the note of study in data using simple linear regression model.