A common strategy is to use naive Bayes together with a second classification technique such as logistic regression. You perform each classification separately then compute a consensus prediction.

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Python Machine Learning ... with Naive Bayes, recognizing faces with support vector machine, predicting stock prices with artificial neural networks, categorizing images of clothing with convolutional ...

Naive Bayes is a popular and simple machine learning algorithm that is based ... To overcome this limitation, you need to use more complex models that can capture the dependencies among the ...

This paper investigates the performance of naïve bayes, k-nearest neighbor and logistic regression ... The work is implemented in Python. The performance of the techniques is evaluated based on ...

A common strategy is to use naive Bayes together with a second classification technique such as logistic regression. You perform each classification separately then compute a consensus prediction.