Classification of Data Mining Techniques under the Environment of T-Bipolar Soft Rings
Jabbar Ahmmad,
Turki Alsuraiheed,
Meraj Ali Khan
et al.
Abstract:Data mining evaluation is very critical in the sense that it determines how well a classification model performs and how well it can generate accurate predictions on brand-new, unexplored data. It is especially important for classification tasks. There are several methods for evaluating classification models, and the choice of evaluation strategies depends on the particular situation, the available data, and the desired outcomes. The notion of a T-bipolar soft set (TBSS) is a valuable parameterization tool and… Show more
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