Question: Consider the following dataset ( training data ) . Construct an ensemble model using Adaboost algorithm with base classifier as decision stump ( consider the

Consider the following dataset (training data). Construct
an ensemble model using Adaboost algorithm with base
classifier as decision stump (consider the whole dataset
for each feature as splitting feature of decision stump).
Use the list of random numbers
0.78,0.56,0.94,0.24,0.68,0.32,0.13,0.73 for every new
dataset. It must be solved handwritten step by step
Consider the following dataset ( training data )

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