Author: Jason Brownlee The decision tree algorithm is effective for balanced classification, although it does not perform well on imbalanced datasets. The split points of […] Read More
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Author: Jason Brownlee The decision tree algorithm is effective for balanced classification, although it does not perform well on imbalanced datasets. The split points of […] Read More
Author: The Salish Sea, which extends from British Columbia to Washington State in the U.S., was once home to hundreds of killer whales, also known […] Read More
Author: Jason Brownlee Logistic regression does not support imbalanced classification directly. Instead, the training algorithm used to fit the logistic regression model must be modified […] Read More
Author: Jason Brownlee Machine learning techniques often fail or give misleadingly optimistic performance on classification datasets with an imbalanced class distribution. The reason is that […] Read More
Author: Across the web, there are millions of datasets about nearly any subject that interests you. If you’re looking to buy a puppy, you could […] Read More
Author: Anne Trafton | MIT News Office After a patient has a heart attack or stroke, doctors often use risk models to help guide their […] Read More
Author: Rob Matheson | MIT News Office A model invented by researchers at MIT and Qatar Computing Research Institute (QCRI) that uses satellite imagery to […] Read More