Discriminative models predict using conditional probability which makes them more robust to outliers.
On the other hand, generative models tries to learn the distribution. This can be useful when you want to generate new data.
Discriminative models predict using conditional probability which makes them more robust to outliers.
On the other hand, generative models tries to learn the distribution. This can be useful when you want to generate new data.
