6 datasets found

The Bat Algorithm was used to select features for a binary classification problem.

The dataset used in the paper is the Stanford Sentiment Treebank (SST) dataset, which contains standard train/dev/test sets and two subtasks: binary sentence classification or...

Breast cancer dataset where mammograms have been labeled independently by three doctors. Ground-truth has been obtained through a biopsy, not available to the algorithm nor the...

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the two moons dataset for experiments.

The relational games dataset consists of a family of binary classification tasks for identifying abstract relational rules between a set of objects represented as images.

A commonly observed pattern in machine learning models is an underprediction of the target feature, with the model’s predicted target rate for members of a given category...