The experimental results reveal significant performance differences between the evaluated algorithms. The proposed algorithms obtained a classification accuracy of 83.19%, 92.04%, 88.50%, 91.15% and ...

Reliable quality and outcomes assessment depends on the ability to distinguish between T1MI and T2MI in administrative claims data. As such, we aimed to develop a classification algorithm to ...

This is because the process of training the algorithms has historically been different for the two types ... But there has always been a divide between information-perfect and imperfect games.

What are the types of classification algorithms used in artificial intelligence? There is a wide range of algorithms that vary between general ... use a combination of different approaches and ...

In this study, feature extraction is carried out by the Apriori algorithm. By predicting suspicious data, the crossover problem between suspicious ... TABLE 5. Classification accuracy table of data ...

Figure 1B shows a pairwise comparison between the classification algorithms and the best selected single method (ElasticNet with interactions) under each criterion. There were significant differences ...

Abstract: This article conducts a comparative analysis to investigate the effects of different classification algorithms and structural proximity ... For this, we identify relationships between ...