How do you interpret the cross-validation results?

Feb 5, 2025 ... The following invocation of PROC LOGISTIC illustrates the use of stepwise selection to identify the prognostic factors for cancer remission. This "quick start" guide shows you how to carry out binomial logistic regression using SPSS Statistics, as well as interpret and report the results from this ... Feb 16, 2007 ... Abstract. The article argues against the popular belief that linear regression should not be used when the dependent variable is a dichotomy. Apr 28, 2023 ... I want to use nominal logistic regressions to see which parameters are significant. However, when running these regressions, I find interpreting the results ... Jun 20, 2012 ... The c-statistic follows a standard normal cumulative distribution function with dependence on the product of the standard deviation of the normal components. Example-Dependent Cost-Sensitive Logistic Regression for Credit Scoring. Abstract: Everal real-world classification problems are example-dependent cost- ... Feb 16, 2001 ... First, popular statistical procedures, such as logistic regression, can sharply underestimate the probability of rare events. We recommend ... May 20, 2016 ... Title:Coresets for Scalable Bayesian Logistic Regression ... Abstract:The use of Bayesian methods in large-scale data settings is attractive ... Jan 1, 2012 ... Many analogues to the coefficient of determination R2 in ordinary regression models have been proposed in the context of logistic regression. ... logistic regression as a powerful tool for analysis of DMSMS and further developed twenty models attempting to identify the "best" way to model and predict ...