h2o.predicted_vs_actual_by_variable function

Calculates per-level mean of predicted value vs actual value for a given variable.

Calculates per-level mean of predicted value vs actual value for a given variable.

In the basic setting, this function is equivalent to doing group-by on variable and calculating mean on predicted and actual. In addition to that it also handles NAs in response and weights automatically.

h2o.predicted_vs_actual_by_variable(object, newdata, predicted, variable)

Arguments

  • object: A trained supervised H2O model.
  • newdata: Input frame (can be training/test/.. frame).
  • predicted: Frame of predictions for the given input frame.
  • variable: Name of variable to inspect.

Returns

H2OTable

  • Maintainer: Tomas Fryda
  • License: Apache License (== 2.0)
  • Last published: 2024-01-11

Downloads (last 30 days):