Question

Which statement is true about prediction problems? *
1 point
The output attribute must be categorical.
The output attribute must be numeric.
The resultant model is designed to determine future outcomes.
The resultant model is designed to classify current behavior.

Answer 1

Which statement is true about prediction problems? *

1 point

The output attribute must be categorical.

The output attribute must be numeric.

The resultant model is designed to determine future outcomes.

The resultant model is designed to classify current behavior

thanks for points

Answer 2

The third statement is true about prediction problems i.e. ‘The resultant model is designed to determine future outcomes’.

• When we want to forecast the value of a target variable based on the values of other variables, we have a problem called a prediction problem. Giving the appropriate prediction or output to an input or context is the purpose of a prediction problem.

• When predicting the likelihood of a specific result, such as whether or not a client would churn in 30 days, "prediction" basically refers to the output of an algorithm after it has been trained on historical data and applied to current data.

• Mislabeling, representation, learner, and boundary errors are the four top-level categories we use to classify prediction errors. Each of these error categories is connected to particular flaws that, when discovered, may be fixed.

Therefore, the third statement is true about prediction problems i.e. ‘The resultant model is designed to determine future outcomes’.

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