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| -rw-r--r-- | models.R | 9 |
1 files changed, 0 insertions, 9 deletions
@@ -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) |
