diff --git a/scripts/run_stage5_experiments_kmeans.sh b/scripts/run_stage5_experiments_kmeans.sh
new file mode 100755
index 0000000000000000000000000000000000000000..b5beae69ef14b4b75bffdb9fcd196a96b1488c8e
--- /dev/null
+++ b/scripts/run_stage5_experiments_kmeans.sh
@@ -0,0 +1,12 @@
+#!/bin/bash
+core_number=50
+walltime=5:00
+seeds='1 2 3'
+
+for dataset in diabetes diamonds boston california_housing
+do
+    oarsub -p "(gpu is null)" -l /core=5,walltime=1:00 "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=none --extracted_forest_size_stop=0.40 --extracted_forest_size_samples=30 --experiment_id=1 --models_dir=models/$dataset/stage5_kmeans --subsets_used train+dev,train+dev"
+    oarsub -p "(gpu is null)" -l /core=5,walltime=1:00 "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=random --extracted_forest_size_stop=0.40 --extracted_forest_size_samples=30 --experiment_id=2 --models_dir=models/$dataset/stage5_kmeans --subsets_used train+dev,train+dev"
+    oarsub -p "(gpu is null)" -l /core=5,walltime=1:00 "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=omp --extracted_forest_size_stop=0.40 --extracted_forest_size_samples=30 --experiment_id=3 --models_dir=models/$dataset/stage5_kmeans --subsets_used train+dev,train+dev"
+    oarsub -p "(gpu is null)" -l /core=50,walltime=5:00 "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=kmeans --extracted_forest_size_stop=0.40 --extracted_forest_size_samples=30 --experiment_id=4 --models_dir=models/$dataset/stage5_kmeans --subsets_used train+dev,train+dev"
+done
diff --git a/scripts/run_stage5_experiments_similarity.sh b/scripts/run_stage5_experiments_similarity.sh
new file mode 100755
index 0000000000000000000000000000000000000000..d7be4e984dec0a216cb7c2db539cc6595cfdb110
--- /dev/null
+++ b/scripts/run_stage5_experiments_similarity.sh
@@ -0,0 +1,12 @@
+#!/bin/bash
+core_number=1
+walltime=5:00
+seeds='1 2 3'
+
+for dataset in diabetes diamonds boston california_housing
+do
+    oarsub -p "(gpu is null)" -l /core=5,walltime=1:00 "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=none --extracted_forest_size_stop=0.40 --extracted_forest_size_samples=30 --experiment_id=1 --models_dir=models/$dataset/stage5_similarity --subsets_used train+dev,train+dev"
+    oarsub -p "(gpu is null)" -l /core=5,walltime=1:00 "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=random --extracted_forest_size_stop=0.40 --extracted_forest_size_samples=30 --experiment_id=2 --models_dir=models/$dataset/stage5_similarity --subsets_used train+dev,train+dev"
+    oarsub -p "(gpu is null)" -l /core=5,walltime=1:00 "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=omp --extracted_forest_size_stop=0.40 --extracted_forest_size_samples=30 --experiment_id=3 --models_dir=models/$dataset/stage5_similarity --subsets_used train+dev,train+dev"
+    oarsub -p "(gpu is null)" -l /core=50,walltime=5:00 "conda activate test_env && python code/train.py --dataset_name=$dataset --seeds $seeds --extraction_strategy=similarity --extracted_forest_size_stop=0.40 --extracted_forest_size_samples=30 --experiment_id=4 --models_dir=models/$dataset/stage5_similarity --subsets_used train+dev,train+dev"
+done