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authorBobby <[email protected]>2022-05-31 18:04:27 +0530
committerGitHub <[email protected]>2022-05-31 18:04:27 +0530
commit494bbdcc5ca98cfa9d774ccf5714deccfb9e899e (patch)
tree7321d05aade6f6f43ba727d6d1a020b46de11bd2
parent2e2f89fead988afd01465bd5704a7617651e54ed (diff)
downloadNetwork-Intrusion-Detection-main.tar.xz
Network-Intrusion-Detection-main.zip
Update models.RHEADmain
-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)