Introduction of a new Metric Hit Rate and it's Variation with Scaling on Classification Algorithms
Swapnil Ahuja · International Journal of Computer Applications · 2015
This paper aims to introduce a new metric Hit Rate and how it is effected by the introduction of Scaling and also how does scaling effects accuracy of different algorithms and is not always beneficial.To reach our results we have used Python's Machine Learning Library Scikit-learn which is widely popular and to further validate our findings we have taken to completely different datasets from UCI Machine Learning repository.