MACHINE LEARNING USING SCIKIT-LEARN FOR CLASSIFY STUDENTS GRADUATION
Purwono Prastetyawan
Abstract
In this article we discuss the use of scikit-learn, library of machine learning with python, to classify the study period of students with graduated category on time or not. The proposed classification method is using Naive Bayes Classifier, K-Nearest Neighbor, Support Vector Machine, Decision Trees, and others Classifiers. Discussion includes which method is better to apply to the dataset obtained from the pre-processing of student data from the college in Lampung from 2008 to 2013. The information obtained can be used as a model to predict the first 2-year-old students, whether with the same class pattern will pass on time or not. This is needed to provide early warning to the students to improve themselves.
KeywordsMachine Learning; Classification; Scikit-Learn;
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This work is licensed under a Creative Commons Attribution 4.0 International License.
Purwono PrastetyawanAbstract
In this article we discuss the use of scikit-learn, library of machine learning with python, to classify the study period of students with graduated category on time or not. The proposed classification method is using Naive Bayes Classifier, K-Nearest Neighbor, Support Vector Machine, Decision Trees, and others Classifiers. Discussion includes which method is better to apply to the dataset obtained from the pre-processing of student data from the college in Lampung from 2008 to 2013. The information obtained can be used as a model to predict the first 2-year-old students, whether with the same class pattern will pass on time or not. This is needed to provide early warning to the students to improve themselves.
KeywordsMachine Learning; Classification; Scikit-Learn;
