Probabilistic Random Forest: A machine learning algorithm for noisy datasets

1 code implementation • 14 Nov 2018 • Itamar Reis, Dalya Baron, Sahar Shahaf

Apart from improving the prediction accuracy in noisy datasets, the PRF naturally copes with missing values in the data, and outperforms RF when applied to a dataset with different noise characteristics in the training and test sets, suggesting that it can be used for Transfer Learning.

BIG-bench Machine Learning Transfer Learning