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xgbstpred2.2
2018 Apr 03
0
xgboost: problems with predictions for count data [SEC=UNCLASSIFIED]
...] 10.04643 31.39230 # the expected predictions
# Here are results from xgboost
# use count:poisson
library(xgboost)
xgbst2.1 <- xgboost(data = as.matrix(sponge[, -c(3)]), label = sponge[, 3], max_depth = 2, eta = 0.001, nthread = 6, nrounds = 3000, objective = "count:poisson")
xgbstpred2 <- predict(xgbst2.1, as.matrix(sponge.grid))
head(xgbstpred2)
range(xgbstpred2)
[1] 1.109032 4.083049 # much lower than expected
table(xgbstpred2)
1.10903215408325 1.26556181907654 3.578040599823 4.08304929733276 # only four predictions, why?
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