estimating a model of logistic regression for predicting corporate failure. Selecting only a subset of variables (financial … proposed algorithm, that it is named GRASP-LOGIT algorithm, performs better than a simple logistic regression in that it …

impact of the studied determinants has been compared in the case of women and men. The study used the Bayesian logistic … regression model. …

: discriminant analysis, logistic regression and neural networks; techniques used by financial institutions for the calculation of … credit scoring. The results show a better performance of the neural network model compared to logistic regression and …

Logistic Regression model is employed to fit the claim frequency, with the auto burden index considered. Three key findings can …

datamining techniques: random forest (RF), support vector machine (SVM), C5.0, multilayer perceptron (MLP), and logistic … regression (LR). The data of 1,438 patients who were admitted to Landseed Hospital, Northern Taiwan, over the period of 2006 and …

impact on the probability of a household could be identify as poor or not, through a logistic regression analysis, based on …

-headed households were more food secure than female-headed households. The result of the binary logistic regression revealed that …

" identified thereon, in a logistic regression approach to develop such a framework. The study finds efficiency in management of …