论文信息 - A Comparative Framework for Evaluating Classification Algorithms

A Comparative Framework for Evaluating Classification Algorithms

mining methods have been widely used for extracting precious knowledge from large amounts of data. Classification algorithms are the most popular models. The model is selected with respect to its classification accuracy; therefore, the performance of each classifier plays a very crucial role. This paper discusses the application of some classification models on multiple datasets and compares the accuracy of the results. The relationship between dataset characteristics and accuracy is also debated, and finally, a regression model is introduced for predicting the classifier accuracy on a given dataset.

Zuhal Tanrikulu | Neslihan Dogan | Zuhal Tanrikulu | Neslihan Dogan

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