A Computational Linguistic Approach for Gender Prediction Based on Vietnamese Names

Table 3

Gender prediction of N-gram by using full name and without family name on the GenderVN1.0 dataset.

N-gram	Using full name			Without family name
	Logistics regression	Näive Bayes	Random forest	Logistics regression	Näive Bayes	Random forest
1-gram	90.4	90.0	88.2	90.9	90.3	90.5
2-gram	70.3	70.0	70.4	68.4	68.4	68.4
3-gram	54.8	54.8	54.8	53.0	53.0	53.0

Bold shows best accuracy obtained.