Question
Consider the following outputs based on fitting a weighted arithmetic mean (WAM) and a weighted power mean with p = 2 (PM) WAM RMSE 0.1184
Consider the following outputs based on fitting a weighted arithmetic mean (WAM) and a weighted power mean with p = 2 (PM)
WAM
RMSE 0.1184 Average L1 error 0.1221 Pearson correlation 0.8290 Spearman correlation 0.8134 i w_i 1 0.234 2 0.128 3 0 4 0.638
PM
RMSE 0.1835 Average L1 error 0.1481 Pearson correlation 0.7312 Spearman correlation 0.7981 i w_i 1 0.2424 2 0 3 0 4 0.7576
Which of the following could be stated about the data that was used for fitting? [Multiple answers could be selected]
Question 5 options:
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Better fitting is achieved for functions where the output variable in the data tends toward the higher inputs.
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Better fitting is achieved for functions where the output variable in the data does not tend toward the higher inputs.
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The most influential/useful variable in predicting the output is x4
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The highest input is allocated the most weight.
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