A churn prediction system includes at least one hardware processor, a memory including a
historical sample set of subscriber data, and a churn prediction engine executing on the at …

Mechanisms are provided for detecting interesting decision rules from a set of decision rules
in a tree ensemble. Each tree in the tree ensemble is traversed in order to assign each …

A system is capable of automatically adjusting or reconstructing a baseline expression to
generate a parallelized expression. Evaluation of the parallelized expression provide a …

A method of recognizing input data includes determining a feature vector corresponding to
an ensemble model from input data, based on the ensemble model, and recognizing the …

Mechanisms are provided for detecting interesting decision rules from a set of decision rules
in a tree ensemble. Each tree in the tree ensemble is traversed in order to assign each …

Int. Ci. GO6N 3/08(2006.01) GOON 5/04(2006.01) G06V 10/74(2022.01) GOOV
10/82(2022.01) G06K 9/62(2022.01)(52) US CI. CPC GOON 3/088 (2013.01); GO6N 5/04 …

A system is capable of automatically adjusting or reconstructing a baseline expression to
generate a parallelized expression. Evaluation of the parallelized expression provide a …

Provided are a computer-implemented method, a system, and a computer program product.
The method comprises extracting features from a plurality of base models in an ensemble …

Aspects of the invention include a computer-implemented method that receives, by a
processor, an ensemble decision tree and generates, by the processor, native code from the …

A churn prediction system includes at least one hardware processor, a memory including a
historical sample set of subscriber data, and a churn prediction engine executing on the at …