Question: In linear regression model, if we perform log transformation and fit 4 models with the following r squared values: Linear-linear model - 0.02018428 Linear-log model

In linear regression model, if we perform log transformation and fit 4 models with the following r squared values:

Linear-linear model - 0.02018428 Linear-log model - 0.02088739 Log-linear model - 0.01777027 Log-log model - 0.01933861

Help me compare the models and their performance with respect to R squared. Are these R squared values generally good, bad, or uncertain across the four models as a general measure of fit?

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