Which fundamental problems are being solved by adding non-linear patterns, such as polynomial features, to a standard linear approach?1 pointPrediction. Interpretation. Prediction and Interpretation. None of the above.
Question
Which fundamental problems are being solved by adding non-linear patterns, such as polynomial features, to a standard linear approach?1 pointPrediction. Interpretation. Prediction and Interpretation. None of the above.
Solution
The fundamental problem being solved by adding non-linear patterns, such as polynomial features, to a standard linear approach is Prediction.
In a standard linear approach, the model assumes a linear relationship between the input variables and the output variable. This may not always be the case in real-world scenarios where the relationship could be more complex and non-linear.
By adding non-linear patterns, we are allowing the model to fit the data better and capture these complex relationships, thereby improving the prediction accuracy of the model.
So, the correct answer is "Prediction".
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