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efficient technique has been applied to find the best subset features, which achieves the highest accuracy in classification … classification accuracy of FS-SLOA is the best performing for different datasets. …
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Data is generated by the medical industry. Often this data is of very complex nature—electronic records, handwritten scripts, etc.—since it is generated from multiple sources. Due to the Complexity and sheer volume of this data necessitates techniques that can extract insight from this data...
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. Up to 80% classification accuracy was achieved with support vector machines, demonstrating that this method can be … developed to produce recommender or guidance systems for students, however the classification model will still benefit from more …
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) it can outperform other binning methods by 10% in classification accuracy when using discovered patterns as features. CDC …
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Feature selection is essential to improve the classification effectiveness. This paper presents a new adaptive … best subset features, which achieve the highest accuracy in classification. In order to explore the feature subset …, Mammographic Mass, Dermatology, Colon Tumor and Prostate Cancer data sets). Experimental results prove that the classification …
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the best performing model for classification purpose. The efficacy of the proposed system is illustrated by conducting …
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