相关疑难解决方法(0)

我想了解H2o R-package中h2o.predict()函数的值（结果）的含义。我意识到在某些情况下，当predict列是 时1，p1列的值低于列p0。我对p0和p1列的解释是指每个事件的概率，所以我预计predict=1的概率p1应该高于相反事件的概率 ( p0)，但它并不总是发生，正如我在以下示例中所示：使用前列腺数据集。

这是可执行示例：

library(h2o)
h2o.init(max_mem_size = "12g", nthreads = -1)
prostate.hex <- h2o.importFile("https://h2o-public-test-data.s3.amazonaws.com/smalldata/prostate/prostate.csv")
prostate.hex$CAPSULE  <- as.factor(prostate.hex$CAPSULE)
prostate.hex$RACE     <- as.factor(prostate.hex$RACE)
prostate.hex$DCAPS    <- as.factor(prostate.hex$DCAPS)
prostate.hex$DPROS    <- as.factor(prostate.hex$DPROS)

prostate.hex.split = h2o.splitFrame(data = prostate.hex,
  ratios = c(0.70, 0.20, 0.10), seed = 1234)
train.hex     <- prostate.hex.split[[1]]
validate.hex  <- prostate.hex.split[[2]]
test.hex      <- prostate.hex.split[[3]]

fit <- h2o.glm(y = "CAPSULE", x = …