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Suppose you are a movie producer. To predict the budget required for producing a movie, you collected data from a random sample of 1,100
Suppose you are a movie producer. To predict the budget required for producing a movie, you collected data from a random sample of 1,100 movies. For each movie, the data set specifies the following: BUDGET RUNTIME ACTION ADVENTURE : COMEDY DRAMA HORROR SCIFI : The budget (production cost) divided by $10,000,000. ENGLISH : The runtime in minutes divided by 100. : If the genre is adventure, it equals 1. Otherwise, 0. If the genre is action, it equals 1. : If the genre is comedy, it equals 1. : If the genre is drama, it equals 1. : : If the genre is horror, it equals 1. Otherwise, 0. Otherwise, 0. Otherwise, 0. Otherwise, 0. If the genre is sci-fi, it equals 1. Otherwise, 0. : If the original language is English, it equals 1. Otherwise, 0. You used the data and built the following artificial neural network model with one hidden node. RUNTIME ADVENTURE ACTION COMEDY DRAMA HORROR SCIFI ENGLISH a : 3.4695 b: 0.78376 : 0.40206 d : -0.37237 e a The activation function is logistic (sigmoid). : -0.95694 e : -1.36343 4 The weights (coefficients) of the model are as follows: h 1 i 1 g : 0.72154 h : 3.98898 i : -9.10677 k j: 12.56564 k : 1.01959 j BUDGET Assume that the sequel will a 1.2-hour horror movie in English. Use the model and predict the budget for producing a sequel to "Insidious". Enter the predicted budget in $Million and round it to three decimal places. For instance, if the predicted budget is $2651400, enter it as $2.651, which is in $Million. Million
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