this test takes quite a long while to finish
add the prior and model distributions to the model results
complete demo
 What this demo covers:
  h2o.performance       --Useful for binary responses: computes the AUC and best thresholds for a variety of quality metrics
  get priors            --How to get the priors from the model: @model$priorDistribution
  h2o.exec              --Execute an arbitrary R-like expresion in the H2O cloud (expression must contain an H2OParsedData object).
  invisible             --An interesting & useful base package function. See ?invisible for more
  write.csv             --Store all of the models into a csv grouped by the different responses and sorted by the AUC on testing data