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An empirical study of the naive Bayes classifier

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بِسْــــــــــــــــمِ اﷲِالرَّحْمَنِ اارَّحِيم
bismillaahirrahmaanirrahiim

السَّلاَمُ عَلَيْكُمْ وَرَحْمَةُ اللهِ وَبَرَكَاتُهُ
Assalamu'alaikum warahmatullahi wabarakatuh

An empirical study of the naive Bayes classifier
(Jurnal Teknik Informatika)



An empirical study of the naive Bayes classifier


ABSTRAK

The naive Bayes classifier greatly simplify learning by assuming that features are independent given class. Although independence is generally a poor assumption, in practice naive Bayes often competes well with more sophisticated classifiers. Our broad goal is to understand the data characteristics which affect the performance of naive Bayes. Our approach uses Monte Carlo simulations that allow a systematic study of classification accuracy for several classes of randomly generated problems. We analyze the impact of the distribution entropy on the classification error, showing that low-entropy feature distributions yield good performance of naive Bayes. We also demonstrate that naive Bayes works well for certain nearlyfunctional feature dependencies, thus reaching its best performance in two opposite cases: completely independent features (as expected) and functionally dependent features (which is surprising). Another surprising result is that the accuracy of naive Bayes is not directly correlated with the degree of feature dependencies measured as the classconditional mutual information between the features. Instead, a better predictor of naive Bayes accuracy is the amount of information about the class that is lost because of the independence assumption.


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Kata Kunci : Jurnal International, Jurnal Teknik Informatika, Jurnal Skripsi, Jurnal, Contoh Jurnal, Skripsi Teknik Informatika,Contoh Skripsi, Skripsi.





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Artikel An empirical study of the naive Bayes classifier, Diterbitkan oleh scodeaplikasi pada Rabu, 29 Juni 2016. Semoga artikel ini dapat menambah wawasan Anda. Website ini dipost dari beberapa sumber, bisa cek disini sumber, Sobat diperbolehkan mengcopy paste / menyebar luaskan artikel ini, karena segala yang dipost di public adalah milik public. Bila Sobat tertarik Ingin membuat software, membeli software, membeli source code ,Dengan Cara menghubungi saya Ke Email: Fajarudinsidik@gmail.com, atau No Hp/WA : (fajar) : 085369237896, (puat) : 085267792168.

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