| FHT {TDboost} | R Documentation |
There are two data sets, one for training and the other for testing. The training data set has n = 200 observations and p = 6 predictors. The testing data set has n = 20 observations and p = 6 predictors. See details in Friedman et al. (2010).
data(FHT)
Two data frames both contain the following columns:
predictor columns
response variable
Yang, Y., Qian, W. and Zou, H. (2013), “A Boosted Tweedie Compound Poisson Model for Insurance Premium” Preprint.
data(FHT)