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1. For a specific business challenge, we have three models: model_1: RJ'Z = 1.00, Test RMSE = 10.0, run time = 2.05 model_2: RJ'Z =

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1. For a specific business challenge, we have three models: model_1: RJ'Z = 1.00, Test RMSE = 10.0, run time = 2.05 model_2: RJ'Z = 0.85, Test RMSE = 11.0, run time = 0.15 model_3: RJ'Z = 0.95, Test RMSE = 11.0, run time = 0.55 Here run time means how long it takes to predict if a tweet is fake or not, and yes, you are working for Twitter. Which model will you choose? I model_2 I model_1 I Cannot decide I model_3 2. You build a model to predict price of typical isze houses: price = 250,000 + 120 * [house size] 10 "' [number of bedroomsl Based on this model, which statement is true? I Less bedrooms means a higher price of the house I We don't know if "a" or "b" is correct I More bedrooms means a lower price for the house 3. A. linear regression model has three features: x1, :12, E. The t-stat value for each feature is 150, 110, 30, respectively. 'I'ou want to build a simpler model by deleting one of the features from your dataset. Which feature you can safely remove from the data? I x3 I 32 I x1 I Cannot decide

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