76 страниц. 2015 год. LAP Lambert Academic Publishing In Classification, selection of classifier for data set is difficult. Meta learning automates this process by acquiring knowledge from past experience but generation of meta example is a costly process. So Active Meta Learning can be used which reduces generation of meta examples and at the same time maintaining performance of candidate algorithms. Model presented here provides Ranking using ARR ranking method.