2021
DOI: 10.18280/isi.260502
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Robust Text Classifier for Classification of Spam E-Mail Documents with Feature Selection Technique

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Cited by 3 publications
(2 citation statements)
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References 26 publications
(29 reference statements)
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“…RF is one of the ML techniques, a classification of decision trees enhanced from the Classification and Regression Trees (CART) method [23]. RF is capable of handling large datasets and has large input features [24]. Picture of the RF classifier workflow as shown in Figure 3.…”
Section: Random Forest (Rf)mentioning
confidence: 99%
“…RF is one of the ML techniques, a classification of decision trees enhanced from the Classification and Regression Trees (CART) method [23]. RF is capable of handling large datasets and has large input features [24]. Picture of the RF classifier workflow as shown in Figure 3.…”
Section: Random Forest (Rf)mentioning
confidence: 99%
“…The NB algorithm comprises three types: Gaussian, Multinomial, and Bernoulli. The choice of the NB classifier depends on the distribution of input features and the nature of the problem being addressed [8]. The Gaussian algorithm is suitable when the input features follow a normal distribution [9].…”
Section: Introductionmentioning
confidence: 99%