means of random forests to capture in a purely data‐driven way potentially nonlinear links between El Niño and La Niña and …

direction is more successful than predicting actual stock prices. This paper uses the machine learning method of random forests … as features. Decision tree bagging and random forests predictions of stock price direction are more accurate than those … obtained from logit models. For a 20-day forecast horizon, tree bagging and random forests methods produce accuracy rates of …

(bagging, stochastic gradient boosting, random forests) to predict the price direction of gold and silver exchange traded funds …. Decision tree bagging, stochastic gradient boosting, and random forests predictions of gold and silver price direction are much … boosting, and random forests produce accuracy rates of between 85% and 90% while logit models produce accuracy rates of between …