diff --git a/experiments/california_housing/stage4/none_with_params.json b/experiments/california_housing/stage4/none_with_params.json
index e3549c1bebe94975ee7b774968e9f98f3d346625..0f7a4a8f0048cf54ee69c0591d7475b2464afe0c 100644
--- a/experiments/california_housing/stage4/none_with_params.json
+++ b/experiments/california_housing/stage4/none_with_params.json
@@ -31,6 +31,7 @@
     ],
     "job_number": -1,
     "extraction_strategy": "none",
+    "overwrite": false,
     "extracted_forest_size": [
         33,
         67,
diff --git a/experiments/california_housing/stage4/omp_with_params.json b/experiments/california_housing/stage4/omp_with_params.json
index e01103a853e04a4775321e7ede4130f4b82aa44f..6397f82756b49bfad272c172d879d4d82555e41a 100644
--- a/experiments/california_housing/stage4/omp_with_params.json
+++ b/experiments/california_housing/stage4/omp_with_params.json
@@ -31,6 +31,7 @@
     ],
     "job_number": -1,
     "extraction_strategy": "omp",
+    "overwrite": false,
     "extracted_forest_size": [
         33,
         67,
diff --git a/experiments/california_housing/stage4/random_with_params.json b/experiments/california_housing/stage4/random_with_params.json
index 85dbd63e39fc8d885fef3d994335601beb584c45..7859fc51e40eee7f0cb0d091c46240c839cf77d5 100644
--- a/experiments/california_housing/stage4/random_with_params.json
+++ b/experiments/california_housing/stage4/random_with_params.json
@@ -31,6 +31,7 @@
     ],
     "job_number": -1,
     "extraction_strategy": "random",
+    "overwrite": false,
     "extracted_forest_size": [
         33,
         67,
diff --git a/scripts/run_stage4_experiments.sh b/scripts/run_stage4_experiments.sh
index 71987fbf9005bc4cd60f32eb8645b8c26e702705..cc414f9d4f5b4b65fbaf06826effc9d6e7c4a0b3 100644
--- a/scripts/run_stage4_experiments.sh
+++ b/scripts/run_stage4_experiments.sh
@@ -8,7 +8,7 @@ for dataset in california_housing
 #for dataset in gamma
 #for dataset in breast_cancer diabetes diamonds california_housing boston linnerud steel-plates kr-vs-kp digits iris kin8nm lfw_pairs linnerud olivetti_faces wine spambase gamma
 do
-    oarsub -p "(gpu is null)" -l /core=$core_number,walltime=1:00 "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=none --save_experiment_configuration 4 none_with_params --extracted_forest_size_stop=1 --extracted_forest_size_samples=30 --experiment_id=1 --models_dir=models/$dataset/stage4 --subsets_used train+dev,train+dev"
-    oarsub -p "(gpu is null)" -l /core=$core_number,walltime=1:00 "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=random --save_experiment_configuration 4 random_with_params --extracted_forest_size_stop=1 --extracted_forest_size_samples=30 --experiment_id=2 --models_dir=models/$dataset/stage4 --subsets_used train+dev,train+dev"
-    oarsub -p "(gpu is null)" -l /core=$core_number,walltime=1:00 "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=omp --save_experiment_configuration 4 omp_with_params --extracted_forest_size_stop=1 --extracted_forest_size_samples=30 --experiment_id=3 --models_dir=models/$dataset/stage4 --subsets_used train+dev,train+dev"
+    oarsub -p "(gpu is null)" -n "$dataset base" -l /core=$core_number,walltime=1:00 "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=none --save_experiment_configuration 4 none_with_params --extracted_forest_size_stop=1 --extracted_forest_size_samples=30 --experiment_id=1 --models_dir=models/$dataset/stage4 --subsets_used train+dev,train+dev"
+    oarsub -p "(gpu is null)" -n "$dataset random" -l /core=$core_number,walltime=1:00 "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=random --save_experiment_configuration 4 random_with_params --extracted_forest_size_stop=1 --extracted_forest_size_samples=30 --experiment_id=2 --models_dir=models/$dataset/stage4 --subsets_used train+dev,train+dev"
+    oarsub -p "(gpu is null)" -n "$dataset omp" -l /core=$core_number,walltime=1:00 "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=omp --save_experiment_configuration 4 omp_with_params --extracted_forest_size_stop=1 --extracted_forest_size_samples=30 --experiment_id=3 --models_dir=models/$dataset/stage4 --subsets_used train+dev,train+dev"
 done