Dec 27, 2019 · This could be a useful tool for improving different parameters such as academic performance, the GPA and dropout rates in all academic years.
This research presents the hybridization of an algorithm previously proposed by the authors called adaptive assignation algorithm (AAA), with a well-known ...
This research presents the hybridization of an algorithm previously proposed by the authors called adaptive assignation algorithm (AAA), with a well-known ...
In this context, the absence of data from some of the student scores undermines the efficiency of any future analysis carried out in order to reach conclusions.
Jan 3, 2020 · This research presents the hybridization of an algorithm previously proposed by the authors called adaptive assignation algorithm, with a well- ...
The main objective of this paper is to present a comparative study of various recently used data mining techniques, classification algorithms, their impact on ...
Feb 16, 2024 · KNN and RF exhibit superior performance and are more adept at imputing missing data in predictive modelling of cohort study datasets.
Missing: Comparative | Show results with:Comparative
Feb 5, 2024 · We assess the effectiveness of eight frequently utilized statistical and machine learning (ML) imputation methods for dealing with missing data ...
A comparative analysis on the missing fine sediment data imputation performance was made based on four different techniques.
In this paper, we aim to assess the disparities in predictive modeling outcomes for college student success and investigate the impact of imputation techniques.
Missing: Comparative | Show results with:Comparative