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-rw-r--r--models.R9
1 files changed, 0 insertions, 9 deletions
diff --git a/models.R b/models.R
index 3e269e7..02b09f9 100644
--- a/models.R
+++ b/models.R
@@ -129,12 +129,3 @@ summary(nb)
nb_model <- h2o.saveModel(object = nb,
path = "/Users/lucifer/Documents/projects/NetworkIntrusionDetection/models",
force = TRUE)
-
-# Build and train the XGBoost model:
-xgb <- h2o.xgboost(x = predictors,
- y = response,
- training_frame = train,
- validation_frame = test,
- booster = "dart",
- normalize_type = "tree",
- seed = 1234)