• Dr.E Chandra Blessie
• Vineetha K R

Abstract- This paper explains the efficiency of Artificial Bee colony based classification (ABCC) strategy for classification purpose in the field of Educational Data Mining (EDM). More precisely, it anticipates ABCC to design classification model which has the ability of classifying the performance of students based on Bloom’s Taxonomy. To conclude this, this paper anticipates a novel initialization purpose based on Effectual LogitBoost algorithm (ELBA) to mitigate adverse effects of curse of dimensionality on ABCC performance. Moreover, in the design of ELBA based ABCC model of performance classification, various feature selection methods are investigated. To perform this, this work considers online available dataset and real time data set, manually annotated with Blooms’ cognitive levels, and transform into Rule discovery, Rule Pruning and prediction strategy. With the available dataset, numerous experiments have been conducted, and the outcomes depict better performance of the proposed ELBA-ABCC owing to its prediction accuracy. Moreover, when anticipated ELBA-ABCC based initialization method is utilized, a significant enhancement in the performance of students is attained. As well, the outcomes specifies feature selection like wrapper based and filter based approaches plays significant role in the performance of ELBA-ABCC. The simulation was performed in MATLAB environment, and the results were compared with the existing methods, which confirm the efficiency of the anticipated ELBA-ABCC approach. The attained accuracy is about 88.9%.

Keywords – Artificial Bee colony based classification; LogitBoost algorithm; Rule discovery; Rule pruning; Prediction strategy

"AN EFFECTUAL LOGITBOOST BASED ARTIFICIAL BEE COLONY CLASSIFICATION ALGORITHM FOR PREDICTING STUDENTS PERFORMANCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.561-572, May-2019, Available :http://www.jetir.org/papers/JETIR1905O89.pdf

"AN EFFECTUAL LOGITBOOST BASED ARTIFICIAL BEE COLONY CLASSIFICATION ALGORITHM FOR PREDICTING STUDENTS PERFORMANCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp561-572, May-2019, Available at : http://www.jetir.org/papers/JETIR1905O89.pdf