The displayed graph is from a forecasting model for testing a time series. Considering the graph only, which conclusion should a Machine Learning Specialist make about the behavior of the model?
A.
The model predicts both the trend and the seasonality well
B.
The model predicts the trend well, but not the seasonality.
C.
The model predicts the seasonality well, but not the trend.
D.
The model does not predict the trend or the seasonality well.
B. The model predicts the trend well, but not the seasonality.
Here's what we can observe:
The predicted mean line closely follows the general upward trend of the observed line.
The predicted mean line does not capture the high frequency up and down changes of the observed line.
agreed, this seems to be A. there is similarity between the blue and green lines as far as capturing trend and seasonality is concerned. It just seems that if assumption is that the model is a linear regression model then just the intercept is off by a few units.
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