Commit a03357d0 authored by leo.bouscarrat's avatar leo.bouscarrat
Browse files

New results + hyperparameters spambase

parent baca1281
{
"scorer": "accuracy",
"best_score_train": 0.9469882246376812,
"best_score_test": 0.9512124502352516,
"best_parameters": {
"min_samples_leaf": 1,
"n_estimators": 1000,
"max_features": "log2",
"max_depth": 20
},
"random_seed": [
1260,
1414,
1635,
513,
678,
943,
1496,
1434,
260,
1825,
415,
740,
811,
93,
1860
]
}
\ No newline at end of file
results/kr-vs-kp/stage4_fix/losses.png

30.4 KB | W: | H:

results/kr-vs-kp/stage4_fix/losses.png

46.5 KB | W: | H:

results/kr-vs-kp/stage4_fix/losses.png
results/kr-vs-kp/stage4_fix/losses.png
results/kr-vs-kp/stage4_fix/losses.png
results/kr-vs-kp/stage4_fix/losses.png
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for dataset in steel-plates
for dataset in breast_cancer kr-vs-kp steel-plates
do
python code/compute_results.py --stage=4 --experiment_ids 1 2 3 --dataset_name=$dataset --models_dir=models/$dataset/stage5
done
......@@ -4,7 +4,7 @@ walltime=1:00
seeds='1 2 3 4 5 6 7'
#for dataset in breast_cancer diabetes diamonds california_housing boston linnerud steel-plates
for dataset in steel-plates
for dataset in breast_cancer kr-vs-kp steel-plates
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 $seeds --extraction_strategy=none --extracted_forest_size_stop=1 --extracted_forest_size_samples=30 --experiment_id=1 --models_dir=models/$dataset/stage5 --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 $seeds --extraction_strategy=random --extracted_forest_size_stop=1 --extracted_forest_size_samples=30 --experiment_id=2 --models_dir=models/$dataset/stage5 --subsets_used train+dev,train+dev"
......
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