If "train", "valid", and "xval" parameters are FALSE (default), then the training Hit Ratios value is returned. If more than one parameter is set to TRUE, then a named list of Hit Ratio tables are returned, where the names are "train", "valid" or "xval".
h2o.hit_ratio_table(object, train = FALSE, valid = FALSE, xval = FALSE)
object | An H2OModel object. |
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train | Retrieve the training Hit Ratio |
valid | Retrieve the validation Hit Ratio |
xval | Retrieve the cross-validation Hit Ratio |
# NOT RUN { library(h2o) h2o.init() f <- "https://s3.amazonaws.com/h2o-public-test-data/smalldata/iris/iris_wheader.csv" iris <- h2o.importFile(f) iris_split <- h2o.splitFrame(data = iris, ratios = 0.8, seed = 1234) train <- iris_split[[1]] valid <- iris_split[[2]] iris_xgb <- h2o.xgboost(x = 1:4, y = 5, training_frame = train, validation_frame = valid) hrt_iris <- h2o.hit_ratio_table(iris_xgb, valid = TRUE) hrt_iris # }