using factor analysis and logistic regression in order to estimate probability of an SME to achieve high growth and to …

: 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 …

obtained by cascading the logistic regression (LR) model onto the gradient boosted decision trees (GBDT) model. Given the same …

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 …

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

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