What algorithms can handle probabilistic targets?

I have a classification problem where I want to want to use probabilities instead of classes to train my model to learn to output probabilities. In my dataset, I have instances where the probabilities of two classes are almost equal and I would like the model to be able to learn these subtleties instead of me just providing the class for each instance. Is there an ML model that can handle this?

Thanks!

Topic machine-learning-model probability classification machine-learning

Category Data Science

1
answered at

Here is a shortlist of probabilistic classification algorithms:

  • Naive Bayes
  • Logistic Regression
  • Neural networks

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