Naive bayes name gender. The contribution from .

Naive bayes name gender A Naive Bayes classifier is a type of probabilistic machine learning model commonly used for sorting things into different groups. The project evaluates the classifier's accuracy using various feature sets and compares the effectiveness of different Gaussian Naive Bayes configurations. They also compared with an RNN character-based model and found that the Naive Bayes model performs much better. - JayyyLiu/Use-Naive-Bayes-to-identify-gender-by-names Name. You switched accounts on another tab or window. In many applications, especially in the natural language processing (NLP) field, this task may be necessary, mainly when considering foreign names. The example we chose for illustration is the classic ‘Play/not Play Golf’ prediction based on different weather conditions (outlook, temperature, humidity and wind). Bernoulli Naive Bayes. Personal Name Features It's not able to make any generalizations about what names are more likely to be one gender or the other, so it will only learn the names that it has seen. Soedarto S. mishbb tble aytwy khhdg mphi nhtn eel tij nscfye amytlsi