| Resumen |
Cuban educational system. Despite such an early age, the kindergarten institutions are devoted to
facilitate the integral children development. However, the early detection of high capabilities in a
child is not always accomplished accurately; due to teachers being mostly focused on the
performance of the children that are lagging behind to achieve their age range’s stated goals. In
addition, the amount of children with high capabilities is usually low, which makes the prediction
an imbalanced data problem. Thus, such children tend to be misguided and overlaid, with a
negative impact in their sociological development. The purpose of this research is to propose an
efficient algorithm that enhances the prediction in the kindergarten children data. We obtain a
useful set of instances and features, thus improving the Nearest Neighbor accuracy according to the
Area under the Receiving Operating Characteristic curve measure. The obtained results are of great
interest for Cuban educational system, regarding the rapidly and precise prediction of the presence
or absence of high capabilities for integral personality development in kindergarten children. |
