random forest or gradient boosting?

Random forest and gradient boosting are leading data mining techniques. They are designed to improve upon the poor predictive accuracy of decision trees. Random forest is by far the more popular, if the google trends…

Sometimes the best model is no model

Data can be used to discover relationships between predictands and an assumed set of predictors, even in the absence of any prior theory. However lack of an underlying theory imposes a cost: the model-building procedure…