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Is it possible to manipulate R2 score in simple regression? If yes then how ?
It is possible to manipulate the R^2 score in simple linear regression by artificially inflating the predicted values. This can be done by adding a constant to the predicted values, or by multiplying the predicted values by a constant greater than 1. However, this would not accurately reflect the model's ability to predict the true values, and would be considered unethical.
Running random forest algorithm with one variable