automl

Retrieve cross validation performance (AUC) on h2o AutoML for holdout dataset

Retrieve cross validation performance (AUC) on h2o AutoML for holdout dataset Question: I am training a binary classification model with h2o AutoML using the default cross-validation (nfolds=5). I need to obtain the AUC score for each holdout fold in order to compute the variability. This is the code I am using: h2o.init() prostate = h2o.import_file("https://h2o-public-test-data.s3.amazonaws.com/smalldata/prostate/prostate.csv") …

Total answers: 2