Inaccurate prediction in R
On Thu, Sep 13, 2012 at 10:15 AM, Vignesh Prajapati <vignesh at tatvic.com> wrote:
Hello, After development of recommendation engine with the R, before removal of outliers from data-set value of residual standard error was 1351 and after removal of outlier its 100. Still there is no accurate prediction which gives 10% correct(near) prediction. For more fitting i also have tried polynomial model with two ,three and four degree but still no improvement. Is there any most important thing to consider without R-squared or adjusted R-squared. Where i am using dataset with linear regression model for prediction of product purchase revenue on the base of total numbers of time product added to cart, removed from cart, total numbers of page views of product page. For checking model prediction accuracy i am considering only minimum residual standard error. Thanks Vignesh
Hi Vignesh, As described, your problem is quite hard for me to understand: perhaps you could work up a reproducible example as suggested here: http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example Cheers, Michael