Question: Question 1 1 pts In a learning task, the data has 10 attributes X1, X2, ..., X10. The model is to predict one target value

Question 1 1 pts In a learning task, the data has 10 attributes X1, X2, ..., X10. The model is to predict one target value using the attributes by letting Pred(X1,...,10) a1 . X1 + a2 . X2 + . .. + a10 . X10 + do The learning will be conducted over 150,000 training samples. How many parameters to be learned during this learning process? O 150,000 * (10 + 1) = 1,650,000 O 150,000 * 10 = 1,500,000 O 10 + 1 = 11

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