Questions tagged [adaboost]

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what are the steps in adaboosting?

I went through adaboost tutorial and below are my simplified understanding: Sample weight of equal value is given to all sample in dataset. Stumps are created which uses only one feature from data ...
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Sklearn Decision Tree as weak learner in Adaboost not working properly

I'm trying to implement Adaboost algorithm with sklearn decision tree as the Weak Learner - at each step I want to choose one feature with one threshold to classify all samples. I have 1400 long ...
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AdaBoost vs Gradient Boost [duplicate]

What is the difference? Under which criteria should each type of boost be used? What is the theory behind each of these methods?
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AdaBoost implementation and tuning for high dimensional feature space in R

I am trying to implement the AdaBoost.M1 algorithm (trees as base-learners) to a data set with a large feature space (~ 20.000 features) and ~ 100 samples in R. ...