A classification task has examples that are labeled as belonging to one of two classes:•90%...

apply dimensionality reduction to the features before training

impose an additional cost on the model for making classification mistakes on the minority class during training

lower the detection threshold of the minority class after training

oversample the minority class and/or undersample the majority class

after training, divide the model accuracy of each class by the proportion that they represent in the dataset