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Class Activity: Adaboost Let us assume that for a binary classification problem we have the following dataset: Dashed line is the first weak classifier used
Class Activity: Adaboost
Let us assume that for a binary classification problem we have the following dataset:
Dashed line is the first weak classifier used in Adaboost. What is the importance assigned to it Update all the weights. Write down your answers in the text area.
Class Activity: Bagging
Let us assume that for a binary classification problem, we have a dataset with data points: and where A and are positive samples and the other three ones are negatives.
We use bagging and during the bootstrapping process, every time we just select one of the data points:
Bootstrap :
Bootstrap :
Bootstrap : C C C C C
Bootstrap : D D D D D
Bootstrap : E E E E E
What is the training performance of the Bagging classifier? Calculate accuracy, precision, and recall. Do you think if this may result in an improvement compared with the traditional nonensemble method?
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