I used two different columns from dataset as targets and using logistic regression
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Output for target 1
The model performance for training set
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RMSE is 8.136996958218045
R2 score is 0.5261727899306442
The model performance for testing set
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RMSE is 8.11008545942948
R2 score is 0.5156169844890891
Output for target 2
The model performance for training set
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RMSE is 1.6402023883989456
R2 score is 0.5242729273650613
The model performance for testing set
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RMSE is 1.4717139217150437
As am splitting data into 85:15 split getting these values as required.Before further proceeding to extract PCA components , I want to be confident that its a good fit.
My question is What to conclude from the given values and is there any pre determind good or bad value for RMSE and R2?
R2
could be dicey. $\endgroup$