need the explanation about the process being the classification.
And the formula for error value and accuracy in calculation.
Hello,
this note for you: https://www.cs.princeton.edu/courses/archive/fall08/cos402/readings/boosting.pdf
Please browse the following link for clarification
https://machinelearningmastery.com/boosting-and-adaboost-for-machine-learning/
https://people.cs.pitt.edu/~milos/courses/cs2750-Spring04/lectures/class23.pdf
it may be usefu
Boosting is a general ensemble method that creates a strong classifier from a number of weak classifiers.
This is done by building a model from the training data, then creating a second model that attempts to correct the errors from the first model. Models are added until the training set is predicted perfectly or a maximum number of models are added.
- Badges
- Science topic