Assigning weights in features has been an important topic in some classification learning algorithms. While the current weighting methods assign a weight to each feature, in this paper, we assign a different weight to the values of each feature. The performance of naive Bayes learning with value-based weighting method is compared with that of some other traditional methods for a number of datasets.
CITATION STYLE
Lee, C. H. (2016). Assigning different weights to feature values in naive bayes. In Communications in Computer and Information Science (Vol. 652, pp. 171–179). Springer Verlag. https://doi.org/10.1007/978-981-10-2777-2_15
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