Tag: binary choice
17. Learning: Boosting
“Wisdom of a weighted crowd of experts” Classifiers Classifiers are tests that produce binary choices about samples. They are considered strong classifiers if their error rate is close to 0, weak classifiers if their error rate is close to 0.5. By using multiple classifiers with different weights, data samples can be sorted or grouped according to different…