International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 125 - Number 12 |
Year of Publication: 2015 |
Authors: Swapnil Ahuja |
10.5120/ijca2015906148 |
Swapnil Ahuja . Introduction of a new Metric Hit Rate and it's Variation with Scaling on Classification Algorithms. International Journal of Computer Applications. 125, 12 ( September 2015), 13-16. DOI=10.5120/ijca2015906148
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.