In this Project, we present a procedure of making a school situating assumption system by analyzing overall school
execution pointers. Here, we consider a standardized dataset of Times high level training world school rankings. At first, we
perform a country insightful school situating data assessment to see the assortment of execution markers to find the top
incredible highlights. To gather the proposed expectation model, we split the situating dataset into planning and test data. By
then, considering the score of prior years we produce expected scores for each amazing segment utilizing our proposed exception
identification and rank score count calculation. Later on, every one of the schools are situated all around the planet subject to
the expected total score. By then, we survey the gauge structure precision reliant on ROC twist, audit, and number of composed
situations against rank deviation.
