Adaboost

AdaBoost, or Adaptive Boosting, is an ensemble learning technique that combines multiple weak classifiers to form a strong classifier.

AdaBoost, or Adaptive Boosting, is an ensemble learning technique that combines multiple weak classifiers to form a strong classifier. By adjusting the weights of misclassified instances and training new weak classifiers on these weights, AdaBoost improves classification performance.