A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A binary classification problem is one where the goal is to predict the value ...

Decision trees naturally support classification problems with more than two classes and can be modified to handle regression problems. Finally, once constructed, they classify new items quickly.

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

The defects with low confidence or unknown classification, or those deemed important enough, get fed into the secondary ANN classifier, which is more expensive to run.” Boosted trees, or ...

Machine learning, a field of artificial intelligence (AI), is the idea that a computer program can adapt to new data independently of human action.

Big Blue's quantum team has mathematically demonstrated that a quantum algorithm could work better than a classical one for machine-learning classification problems.

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A binary classification problem is one where the goal is to predict the value ...