It is common to split a dataset into training and testing sets before fitting statistical or machine learning model. However, there no clear guidance on how much data should be used for testing. In this article we show that the optimal splitting ratio $\sqrt{p}:1$, where $p$ number of parameters in linear regression model explains well.

a new method is developed for a fast identification of the stability situation of industrial processes. the proposed method includes two factor ratios of the control constants for the upper and lower control limits to process these constants. an indication ratio is then defined as the ratio of the maximum data range value to the difference between the maximum and average values for individual d...

background: vascular access (va) is an important aspect for blood circulatory in hemodialysis (hd). arteriovenous fistula (avf) is a suitable procedure to gain va. maturation of the avf is a status of avf, which can be cannulated for hd. this study aimed to discover the parameters that effectively reduce the duration between va and start of hd, which symbolizes the maturation time (mt).   metho...

data envelopment analysis (dea) models with interval inputs and outputs have been rarely discussed in dea literature. this paper, using the enhanced russell measurement proposes an extended model which permits the presence of interval scale variables which can take both negative and positive values. the model is compared with most well-known dea models of which include the ccr model, the bcc mo...