prediction of poverty, random forest is rarely used. Comparing out-of-sample predictions in surveys for same year in six … selected by stepwise and Lasso), suggesting that this method could contribute to better poverty predictions. However, none of … the methods consistently provides accurate predictions of poverty over time, highlighting that technical model fitting by …

prediction of poverty, random forest is rarely used. Comparing out-of-sample predictions in surveys for same year in six … selected by stepwise and Lasso), suggesting that this method could contribute to better poverty predictions. However, none of … the methods consistently provides accurate predictions of poverty over time, highlighting that technical model fitting by …

Classification is one of the methods used in identifying the accuracy of the dataset of multiple classes. This paper …

provide tips & tricks for classification using logistic regression, decision trees and neural networks …