Classification of Metal Binders by Naïve Bayes Classifier on the Base of Molecular Fragment Descriptors and Ensemble Modeling

2019 ◽  
Vol 38 (6) ◽  
pp. 1900002 ◽  
Author(s):  
Vitaly Solov'ev ◽  
Aslan Tsivadze ◽  
Gilles Marcou ◽  
Alexandre Varnek
Keyword(s):  
Naive Bayes ◽  
Naïve Bayes ◽  
Molecular Fragment ◽  
Ensemble Modeling ◽  
Naive Bayes Classifier ◽  
Bayes Classifier ◽  
Naïve Bayes Classifier

scholarly journals The Development of Classification System of Student Final Assignment Using Naive Bayes Classifier Case Study: State Community Academy of Bojonegoro

2018 ◽  
Vol 7 (4.44) ◽  
pp. 228
Author(s):  
Pramana Yoga Saputra ◽  
Yoppy Yunhasnawa ◽  
Windy Fatmila ◽  
Faisal Rahutomo ◽  
Rosa Andrie Asmara ◽  
...  
Keyword(s):  
Naive Bayes ◽  
Naïve Bayes ◽  
Naive Bayes Classifier ◽  
Bayes Classifier ◽  
Naïve Bayes Classifier ◽  
Study Program ◽  
Management Study ◽  
Manual Calculation

In determining interest, students are faced with the choice of specialization in determining the final field of interest. Specialization in the Information Management Study Program of State Community Academy of Bojonegoro is divided into five specializations. The choice of specialization groups is an important part. This is because the accuracy in choosing specialization groups is part of the initial plan of students to determine the final assignment project. Thus, the field of specialization taken will be in accordance with the interests and abilities of the students and will have an impact on the process. In this work, we propose a system that can provide information about the classification of student final assignments. We use Naive Bayes Classifier (NBC) algorithm to do the classification. In this work, we used datasets, that obtained from the State Community Academy of Bojonegoro Informatics Management Study Program. Based on the accuracy testing of the classification results, the system gives higher result, than test manual calculation of 83.33%.  

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