Which statement is true about prediction problems?

The correct answer is C. The resultant model is designed to determine future outcomes.

A prediction problem is a type of machine learning problem where the goal is to predict an output value for a given input. The output value can be either categorical or numeric. For example, in a spam filtering problem, the output value is a binary value (spam or not spam). In a house price prediction problem, the output value is a numeric value (the price of the house).

The resultant model is designed to determine future outcomes. This means that the model can be used to predict the output value for new inputs that were not seen during

288 448 288 448s170.8 0 213.4-11.5c23.5-6.3 42-24.2 48.3-47.8 11.4-42.9 11.4-132.3 11.4-132.3s0-89.4-11.4-132.3zm-317.5 213.5V175.2l142.7 81.2-142.7 81.2z"/> Subscribe on YouTube