For example, you might want to predict the sex of a person (male or female) based on their age, state where they live, income and political leaning. There are many other techniques for binary ...

Figure 1: A classification decision tree is built by partitioning the predictor ... misclassification if this varies among classes. For example, in classifying cancer cases it may be more costly ...

For example, oncologists classify tumors ... decision tree if only simple threshold tests are used. Decision trees naturally support classification problems with more than two classes and can ...

CAST, groups fine details into object-level concepts as attention moves from lower to high layers, outputting a ...