A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports ...
Random forest is an innovative algorithm for data classification used in statistics and machine learning. It is an easy to use and highly flexible ensemble learning method. The random forest algorithm ...
with age of menopause (categorical) on the likelihood of the outcome CVD, adjusting for the following covariates of age, BMI, ancestry, hypertension, DM, highest qualification, remoteness and MHT. We ...