AdaBoost functions use adaptive boosting.
- AdaBoost_Drive takes a training data set and a single decision tree and uses adaptive boosting to produce a strong classifying model.
- AdaBoost_Predict applies the strong classifying model to a new data set.
You can use the AdaBoost functions to generate predictions input for the Receiver Operating Characteristic (ROC) function. See Example 2: Creating Input for ROC.