[?2004h(base) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ conda activate models [?2004l [?2004h(models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 Mass_models.py \ [?2004l [?2004h> --ndjson /path/to/ndjson_dir \ [?2004l [?2004h> --supp2 Supp2.xlsx \ [?2004l [?2004h> --supp1 Supp1.csv \ [?2004l [?2004h> --outdir results_mass \ [?2004l [?2004h> --train_mode both \ [?2004l [?2004h> --weight_mode both \ [?2004l [?2004h> --model all \ [?2004l [?2004h> --metric all \ [?2004l [?2004h> --n_trials 60 \ [?2004l [?2004h> --timeout 3600 [?2004l ^[[D^[^CTraceback (most recent call last): File "/TomaszLab/tRNA/Modele_final/Mass_models.py", line 22, in from sklearn.model_selection import StratifiedGroupKFold File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/sklearn/__init__.py", line 73, in from .base import clone # noqa: E402 ^^^^^^^^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/sklearn/base.py", line 19, in from .utils._metadata_requests import _MetadataRequester, _routing_enabled File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/sklearn/utils/__init__.py", line 9, in from ._chunking import gen_batches, gen_even_slices File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/sklearn/utils/_chunking.py", line 11, in from ._param_validation import Interval, validate_params File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/sklearn/utils/_param_validation.py", line 17, in from .validation import _is_arraylike_not_scalar File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/sklearn/utils/validation.py", line 21, in from ..utils._array_api import _asarray_with_order, _is_numpy_namespace, get_namespace File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/sklearn/utils/_array_api.py", line 20, in from .fixes import parse_version File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/sklearn/utils/fixes.py", line 16, in import scipy.stats File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/scipy/stats/__init__.py", line 626, in from ._stats_py import * File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/scipy/stats/_stats_py.py", line 52, in from . import distributions File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/scipy/stats/distributions.py", line 8, in from ._distn_infrastructure import (rv_discrete, rv_continuous, rv_frozen) # noqa: F401 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/scipy/stats/_distn_infrastructure.py", line 27, in from scipy import integrate File "", line 1229, in _handle_fromlist File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/scipy/__init__.py", line 131, in __getattr__ return _importlib.import_module(f'scipy.{name}') ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/importlib/__init__.py", line 126, in import_module return _bootstrap._gcd_import(name[level:], package, level) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/scipy/integrate/__init__.py", line 108, in from ._ivp import (solve_ivp, OdeSolution, DenseOutput, File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/scipy/integrate/_ivp/__init__.py", line 2, in from .ivp import solve_ivp File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/scipy/integrate/_ivp/ivp.py", line 3, in from .bdf import BDF File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/scipy/integrate/_ivp/bdf.py", line 6, in from .common import (validate_max_step, validate_tol, select_initial_step, File "", line 1176, in _find_and_load File "", line 1147, in _find_and_load_unlocked File "", line 690, in _load_unlocked File "", line 936, in exec_module File "", line 1032, in get_code File "", line 1131, in get_data KeyboardInterrupt ^C [?2004h(models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 Mass_models.py --ndjson /path/to/ndjson_dir --supp2 Supp2.xlsx --supp1 Supp1.csv --outdir results_mass --train_mode both --weight_mode both --model all --metric all --n_trials 60 --timeout 360060[1@5[1@4[1@30mass[1@o[1@d[1@e[1@l[1@sdir[1@/[1@s[1@p[1@s[1@p[12@lit_dataset/[9@subset01// ls [?2004l 80_20_split_fixed.py Archea_codetta_genomes FEATURES_ALL.ndjson Mass_models.py Supp1.csv Supp2.xlsx models_logs.txt predict_dir.py split_dataset [?2004h(models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 Mass_models.py --ndjson split_dataset/subset01/ --supp2 Supp2.xlsx --supp1 Supp1.csv --outdir results_models --train_mode both --weight_mode both --model all --metric all --n_trials 30 --timeout 5400 [?2004l [CPU ] total=32 using=28 (flag=0) [LOAD] train: split_dataset/subset01/train.jsonl (lines198216) [LOAD] test: split_dataset/subset01/test.jsonl (lines49555) [LOAD] Supp1 mapping for weights: Supp1.csv [WRITE] weights_snapshot_train.tsv / weights_snapshot_test.tsv [WEIGHTS] Supp2(P) weights: n=5290 mean=0.961 sd=0.056 min=0.750 max=1.000 ======================================================================== [DATA] train=(198216, 322) P(from Supp2)=5290 (2.669%) [DATA] test=(49555, 322) P(from Supp2)=1384 (2.793%) ======================================================================== ------------------------------------------------------------------------ [RUN ] mode=supervised | weights=normal | metric=F1 | model=RF | timeout=5400s | trials=30 ------------------------------------------------------------------------ [I 2026-01-19 09:14:33,063] A new study created in memory with name: RF_supervised_normal_F1_64log_gc_tetra [I 2026-01-19 09:21:39,300] Trial 0 finished with value: 0.6383014329327436 and parameters: {'n_estimators': 812, 'max_depth': 7, 'min_samples_split': 5, 'min_samples_leaf': 7, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 0 with value: 0.6383014329327436. [TRIAL] #000 value=0.63830 | best=0.63830 | elapsed=7.1m | ETA~82.9m [I 2026-01-19 09:34:24,502] Trial 1 finished with value: 0.6966533506924598 and parameters: {'n_estimators': 1062, 'max_depth': 14, 'min_samples_split': 11, 'min_samples_leaf': 3, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 1 with value: 0.6966533506924598. [TRIAL] #001 value=0.69665 | best=0.69665 | elapsed=19.9m | ETA~70.1m [I 2026-01-19 09:50:40,076] Trial 2 finished with value: 0.701117619956624 and parameters: {'n_estimators': 1387, 'max_depth': 15, 'min_samples_split': 18, 'min_samples_leaf': 8, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 2 with value: 0.701117619956624. [TRIAL] #002 value=0.70112 | best=0.70112 | elapsed=36.2m | ETA~53.8m [I 2026-01-19 10:02:10,214] Trial 3 finished with value: 0.6985865476879755 and parameters: {'n_estimators': 887, 'max_depth': 14, 'min_samples_split': 4, 'min_samples_leaf': 8, 'max_features': 'sqrt', 'class_weight': 'balanced_subsample'}. Best is trial 2 with value: 0.701117619956624. [TRIAL] #003 value=0.69859 | best=0.70112 | elapsed=47.6m | ETA~42.4m [I 2026-01-19 10:12:13,974] Trial 4 finished with value: 0.721175972380828 and parameters: {'n_estimators': 727, 'max_depth': 13, 'min_samples_split': 10, 'min_samples_leaf': 3, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 4 with value: 0.721175972380828. [TRIAL] #004 value=0.72118 | best=0.72118 | elapsed=57.7m | ETA~32.3m [I 2026-01-19 10:25:43,677] Trial 5 finished with value: 0.6921092090609524 and parameters: {'n_estimators': 1386, 'max_depth': 9, 'min_samples_split': 8, 'min_samples_leaf': 7, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 4 with value: 0.721175972380828. [TRIAL] #005 value=0.69211 | best=0.72118 | elapsed=71.2m | ETA~18.8m [I 2026-01-19 10:32:33,066] Trial 6 finished with value: 0.6806130804732851 and parameters: {'n_estimators': 572, 'max_depth': 11, 'min_samples_split': 13, 'min_samples_leaf': 11, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 4 with value: 0.721175972380828. [TRIAL] #006 value=0.68061 | best=0.72118 | elapsed=78.0m | ETA~12.0m [I 2026-01-19 10:47:02,144] Trial 7 finished with value: 0.6985527232473141 and parameters: {'n_estimators': 1266, 'max_depth': 14, 'min_samples_split': 15, 'min_samples_leaf': 8, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 4 with value: 0.721175972380828. [TRIAL] #007 value=0.69855 | best=0.72118 | elapsed=92.5m | ETA~0.0m [SAVE] model_RF_supervised_normal_F1_64log_gc_tetra.joblib + metrics/params [DONE] RF | supervised | normal | F1 in 104.7 min best=0.72118 [WRITE] metrics_summary.csv updated ------------------------------------------------------------------------ [RUN ] mode=supervised | weights=normal | metric=F1 | model=XGB | timeout=5400s | trials=30 ------------------------------------------------------------------------ [I 2026-01-19 10:59:14,809] A new study created in memory with name: XGB_supervised_normal_F1_64log_gc_tetra [I 2026-01-19 11:39:31,404] Trial 0 finished with value: 0.7551878456232632 and parameters: {'n_estimators': 1931, 'max_depth': 7, 'learning_rate': 0.010296987404690188, 'subsample': 0.6457049550111851, 'colsample_bytree': 0.7661846565963488, 'reg_alpha': 0.0005649102918388046, 'reg_lambda': 3.5293533785819853, 'gamma': 1.1374249501916378, 'min_child_weight': 0.13106704169867975, 'tree_method': 'approx'}. Best is trial 0 with value: 0.7551878456232632. [TRIAL] #000 value=0.75519 | best=0.75519 | elapsed=40.3m | ETA~49.7m [I 2026-01-19 12:13:02,161] Trial 1 finished with value: 0.7256166295707357 and parameters: {'n_estimators': 1964, 'max_depth': 6, 'learning_rate': 0.007900002735874939, 'subsample': 0.8184806462406227, 'colsample_bytree': 0.5152404625299223, 'reg_alpha': 0.9578002334017992, 'reg_lambda': 3.4566669848064397, 'gamma': 4.583076845523895, 'min_child_weight': 0.029924666234347776, 'tree_method': 'approx'}. Best is trial 0 with value: 0.7551878456232632. [TRIAL] #001 value=0.72562 | best=0.75519 | elapsed=73.8m | ETA~16.2m [I 2026-01-19 12:15:27,317] Trial 2 finished with value: 0.7264142392578222 and parameters: {'n_estimators': 1516, 'max_depth': 4, 'learning_rate': 0.12818112895682876, 'subsample': 0.8354376633577565, 'colsample_bytree': 0.8479794406349666, 'reg_alpha': 0.046810958743818847, 'reg_lambda': 0.15094872123650546, 'gamma': 4.133054853958809, 'min_child_weight': 0.008301286611955064, 'tree_method': 'hist'}. Best is trial 0 with value: 0.7551878456232632. [TRIAL] #002 value=0.72641 | best=0.75519 | elapsed=76.2m | ETA~13.8m [I 2026-01-19 12:18:18,633] Trial 3 finished with value: 0.715138258057451 and parameters: {'n_estimators': 1171, 'max_depth': 4, 'learning_rate': 0.01586904197956858, 'subsample': 0.8886020991457222, 'colsample_bytree': 0.8840806114462175, 'reg_alpha': 0.0423229337953647, 'reg_lambda': 0.017174719661586926, 'gamma': 0.9841054898623219, 'min_child_weight': 0.029834165344441763, 'tree_method': 'hist'}. Best is trial 0 with value: 0.7551878456232632. [TRIAL] #003 value=0.71514 | best=0.75519 | elapsed=79.1m | ETA~10.9m [I 2026-01-19 12:20:22,016] Trial 4 finished with value: 0.6509796714721684 and parameters: {'n_estimators': 520, 'max_depth': 3, 'learning_rate': 0.011948862054276215, 'subsample': 0.8643624982715732, 'colsample_bytree': 0.6280416679580982, 'reg_alpha': 0.05510370295944138, 'reg_lambda': 0.8901107559311653, 'gamma': 1.3841915943305572, 'min_child_weight': 0.02444382560899974, 'tree_method': 'hist'}. Best is trial 0 with value: 0.7551878456232632. [TRIAL] #004 value=0.65098 | best=0.75519 | elapsed=81.1m | ETA~8.9m [I 2026-01-19 12:24:31,344] Trial 5 finished with value: 0.7550820458595312 and parameters: {'n_estimators': 1559, 'max_depth': 6, 'learning_rate': 0.022042294603853443, 'subsample': 0.7532942101680433, 'colsample_bytree': 0.9432818926650837, 'reg_alpha': 0.0001333556080099914, 'reg_lambda': 6.787656924996634, 'gamma': 0.059997385289696226, 'min_child_weight': 0.12942490133732226, 'tree_method': 'hist'}. Best is trial 0 with value: 0.7551878456232632. [TRIAL] #005 value=0.75508 | best=0.75519 | elapsed=85.3m | ETA~4.7m [I 2026-01-19 13:34:56,020] Trial 6 finished with value: 0.7562756985268456 and parameters: {'n_estimators': 1613, 'max_depth': 9, 'learning_rate': 0.004642854532789756, 'subsample': 0.901097923020446, 'colsample_bytree': 0.9309843036729187, 'reg_alpha': 0.0020337942825722783, 'reg_lambda': 0.04492805459392024, 'gamma': 0.8213238240563808, 'min_child_weight': 0.030098364257966054, 'tree_method': 'approx'}. Best is trial 6 with value: 0.7562756985268456. [TRIAL] #006 value=0.75628 | best=0.75628 | elapsed=155.7m | ETA~0.0m [SAVE] model_XGB_supervised_normal_F1_64log_gc_tetra.joblib + metrics/params [DONE] XGB | supervised | normal | F1 in 238.1 min best=0.75628 [WRITE] metrics_summary.csv updated ------------------------------------------------------------------------ [RUN ] mode=supervised | weights=normal | metric=F1 | model=ET | timeout=5400s | trials=30 ------------------------------------------------------------------------ [I 2026-01-19 14:57:19,275] A new study created in memory with name: ET_supervised_normal_F1_64log_gc_tetra [I 2026-01-19 15:00:40,345] Trial 0 finished with value: 0.6919054433308836 and parameters: {'n_estimators': 1002, 'max_depth': 18, 'min_samples_split': 3, 'min_samples_leaf': 4, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 0 with value: 0.6919054433308836. [TRIAL] #000 value=0.69191 | best=0.69191 | elapsed=3.4m | ETA~86.6m [I 2026-01-19 15:05:03,988] Trial 1 finished with value: 0.7062925741500503 and parameters: {'n_estimators': 1619, 'max_depth': 18, 'min_samples_split': 9, 'min_samples_leaf': 7, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 1 with value: 0.7062925741500503. [TRIAL] #001 value=0.70629 | best=0.70629 | elapsed=7.8m | ETA~82.2m [I 2026-01-19 15:08:15,978] Trial 2 finished with value: 0.6705286270065821 and parameters: {'n_estimators': 1028, 'max_depth': 14, 'min_samples_split': 15, 'min_samples_leaf': 11, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 1 with value: 0.7062925741500503. [TRIAL] #002 value=0.67053 | best=0.70629 | elapsed=11.0m | ETA~79.0m [I 2026-01-19 15:12:32,334] Trial 3 finished with value: 0.6935489796087572 and parameters: {'n_estimators': 1576, 'max_depth': 16, 'min_samples_split': 5, 'min_samples_leaf': 7, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 1 with value: 0.7062925741500503. [TRIAL] #003 value=0.69355 | best=0.70629 | elapsed=15.2m | ETA~74.8m [I 2026-01-19 15:15:08,830] Trial 4 finished with value: 0.6361446080699755 and parameters: {'n_estimators': 687, 'max_depth': 12, 'min_samples_split': 8, 'min_samples_leaf': 6, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 1 with value: 0.7062925741500503. [TRIAL] #004 value=0.63614 | best=0.70629 | elapsed=17.8m | ETA~72.2m [I 2026-01-19 15:18:15,980] Trial 5 finished with value: 0.5382065792329442 and parameters: {'n_estimators': 1843, 'max_depth': 7, 'min_samples_split': 10, 'min_samples_leaf': 7, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 1 with value: 0.7062925741500503. [TRIAL] #005 value=0.53821 | best=0.70629 | elapsed=20.9m | ETA~69.1m [I 2026-01-19 15:20:43,027] Trial 6 finished with value: 0.5601214803221948 and parameters: {'n_estimators': 759, 'max_depth': 9, 'min_samples_split': 11, 'min_samples_leaf': 4, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 1 with value: 0.7062925741500503. [TRIAL] #006 value=0.56012 | best=0.70629 | elapsed=23.4m | ETA~66.6m [I 2026-01-19 15:22:57,672] Trial 7 finished with value: 0.5735700973445572 and parameters: {'n_estimators': 697, 'max_depth': 8, 'min_samples_split': 13, 'min_samples_leaf': 10, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 1 with value: 0.7062925741500503. [TRIAL] #007 value=0.57357 | best=0.70629 | elapsed=25.6m | ETA~64.4m [I 2026-01-19 15:26:58,229] Trial 8 finished with value: 0.6692170341686323 and parameters: {'n_estimators': 1486, 'max_depth': 16, 'min_samples_split': 16, 'min_samples_leaf': 11, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 1 with value: 0.7062925741500503. [TRIAL] #008 value=0.66922 | best=0.70629 | elapsed=29.7m | ETA~60.3m [I 2026-01-19 15:30:12,814] Trial 9 finished with value: 0.6061255082578975 and parameters: {'n_estimators': 1538, 'max_depth': 10, 'min_samples_split': 8, 'min_samples_leaf': 6, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 1 with value: 0.7062925741500503. [TRIAL] #009 value=0.60613 | best=0.70629 | elapsed=32.9m | ETA~57.1m [I 2026-01-19 15:35:06,288] Trial 10 finished with value: 0.7112505275399601 and parameters: {'n_estimators': 1955, 'max_depth': 18, 'min_samples_split': 20, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 10 with value: 0.7112505275399601. [TRIAL] #010 value=0.71125 | best=0.71125 | elapsed=37.8m | ETA~52.2m [I 2026-01-19 15:40:02,993] Trial 11 finished with value: 0.7112733750878177 and parameters: {'n_estimators': 1973, 'max_depth': 18, 'min_samples_split': 20, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 11 with value: 0.7112733750878177. [TRIAL] #011 value=0.71127 | best=0.71127 | elapsed=42.7m | ETA~47.3m [I 2026-01-19 15:44:41,866] Trial 12 finished with value: 0.6904242340945304 and parameters: {'n_estimators': 1954, 'max_depth': 15, 'min_samples_split': 20, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 11 with value: 0.7112733750878177. [TRIAL] #012 value=0.69042 | best=0.71127 | elapsed=47.4m | ETA~42.6m [I 2026-01-19 15:48:43,799] Trial 13 finished with value: 0.6712777358380924 and parameters: {'n_estimators': 1792, 'max_depth': 13, 'min_samples_split': 20, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 11 with value: 0.7112733750878177. [TRIAL] #013 value=0.67128 | best=0.71127 | elapsed=51.4m | ETA~38.6m [I 2026-01-19 15:53:38,696] Trial 14 finished with value: 0.7110123174929008 and parameters: {'n_estimators': 1995, 'max_depth': 18, 'min_samples_split': 17, 'min_samples_leaf': 4, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 11 with value: 0.7112733750878177. [TRIAL] #014 value=0.71101 | best=0.71127 | elapsed=56.3m | ETA~33.7m [I 2026-01-19 15:57:54,773] Trial 15 finished with value: 0.69868710823012 and parameters: {'n_estimators': 1744, 'max_depth': 16, 'min_samples_split': 18, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 11 with value: 0.7112733750878177. [TRIAL] #015 value=0.69869 | best=0.71127 | elapsed=60.6m | ETA~29.4m [I 2026-01-19 16:01:10,164] Trial 16 finished with value: 0.6392095776886599 and parameters: {'n_estimators': 1342, 'max_depth': 11, 'min_samples_split': 14, 'min_samples_leaf': 3, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 11 with value: 0.7112733750878177. [TRIAL] #016 value=0.63921 | best=0.71127 | elapsed=63.9m | ETA~26.1m [I 2026-01-19 16:04:41,640] Trial 17 finished with value: 0.689623343142802 and parameters: {'n_estimators': 1256, 'max_depth': 17, 'min_samples_split': 19, 'min_samples_leaf': 9, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 11 with value: 0.7112733750878177. [TRIAL] #017 value=0.68962 | best=0.71127 | elapsed=67.4m | ETA~22.6m [I 2026-01-19 16:09:04,511] Trial 18 finished with value: 0.6846077321566452 and parameters: {'n_estimators': 1859, 'max_depth': 14, 'min_samples_split': 13, 'min_samples_leaf': 5, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 11 with value: 0.7112733750878177. [TRIAL] #018 value=0.68461 | best=0.71127 | elapsed=71.8m | ETA~18.2m [I 2026-01-19 16:13:32,115] Trial 19 finished with value: 0.7045375348603661 and parameters: {'n_estimators': 1722, 'max_depth': 17, 'min_samples_split': 17, 'min_samples_leaf': 3, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 11 with value: 0.7112733750878177. [TRIAL] #019 value=0.70454 | best=0.71127 | elapsed=76.2m | ETA~13.8m [I 2026-01-19 16:16:11,354] Trial 20 finished with value: 0.42733194683650594 and parameters: {'n_estimators': 1383, 'max_depth': 6, 'min_samples_split': 18, 'min_samples_leaf': 3, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 11 with value: 0.7112733750878177. [TRIAL] #020 value=0.42733 | best=0.71127 | elapsed=78.9m | ETA~11.1m [I 2026-01-19 16:21:02,355] Trial 21 finished with value: 0.7082213838977038 and parameters: {'n_estimators': 1999, 'max_depth': 18, 'min_samples_split': 20, 'min_samples_leaf': 4, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 11 with value: 0.7112733750878177. [TRIAL] #021 value=0.70822 | best=0.71127 | elapsed=83.7m | ETA~6.3m [I 2026-01-19 16:25:40,189] Trial 22 finished with value: 0.7066610763542759 and parameters: {'n_estimators': 1953, 'max_depth': 17, 'min_samples_split': 16, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 11 with value: 0.7112733750878177. [TRIAL] #022 value=0.70666 | best=0.71127 | elapsed=88.4m | ETA~1.6m [I 2026-01-19 16:29:56,907] Trial 23 finished with value: 0.707570946349482 and parameters: {'n_estimators': 1698, 'max_depth': 18, 'min_samples_split': 18, 'min_samples_leaf': 5, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 11 with value: 0.7112733750878177. [TRIAL] #023 value=0.70757 | best=0.71127 | elapsed=92.7m | ETA~0.0m [SAVE] model_ET_supervised_normal_F1_64log_gc_tetra.joblib + metrics/params [DONE] ET | supervised | normal | F1 in 98.9 min best=0.71127 [WRITE] metrics_summary.csv updated ------------------------------------------------------------------------ [RUN ] mode=supervised | weights=normal | metric=PR_AUC | model=RF | timeout=5400s | trials=30 ------------------------------------------------------------------------ [I 2026-01-19 16:36:14,335] A new study created in memory with name: RF_supervised_normal_PR_AUC_64log_gc_tetra [I 2026-01-19 16:44:21,184] Trial 0 finished with value: 0.7381955362168852 and parameters: {'n_estimators': 500, 'max_depth': 15, 'min_samples_split': 9, 'min_samples_leaf': 5, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 0 with value: 0.7381955362168852. [TRIAL] #000 value=0.73820 | best=0.73820 | elapsed=8.1m | ETA~81.9m [I 2026-01-19 16:57:22,089] Trial 1 finished with value: 0.7136376853282952 and parameters: {'n_estimators': 1102, 'max_depth': 14, 'min_samples_split': 16, 'min_samples_leaf': 4, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 0 with value: 0.7381955362168852. [TRIAL] #001 value=0.71364 | best=0.73820 | elapsed=21.1m | ETA~68.9m [I 2026-01-19 17:10:36,744] Trial 2 finished with value: 0.7154444266478783 and parameters: {'n_estimators': 1067, 'max_depth': 14, 'min_samples_split': 15, 'min_samples_leaf': 9, 'max_features': 'sqrt', 'class_weight': 'balanced_subsample'}. Best is trial 0 with value: 0.7381955362168852. [TRIAL] #002 value=0.71544 | best=0.73820 | elapsed=34.4m | ETA~55.6m [I 2026-01-19 17:20:15,403] Trial 3 finished with value: 0.7107794798881814 and parameters: {'n_estimators': 811, 'max_depth': 11, 'min_samples_split': 16, 'min_samples_leaf': 11, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 0 with value: 0.7381955362168852. [TRIAL] #003 value=0.71078 | best=0.73820 | elapsed=44.0m | ETA~46.0m [I 2026-01-19 17:27:10,645] Trial 4 finished with value: 0.7182332041227693 and parameters: {'n_estimators': 462, 'max_depth': 15, 'min_samples_split': 20, 'min_samples_leaf': 7, 'max_features': 'sqrt', 'class_weight': 'balanced_subsample'}. Best is trial 0 with value: 0.7381955362168852. [TRIAL] #004 value=0.71823 | best=0.73820 | elapsed=50.9m | ETA~39.1m [I 2026-01-19 17:34:44,663] Trial 5 finished with value: 0.6227997942902456 and parameters: {'n_estimators': 1009, 'max_depth': 6, 'min_samples_split': 15, 'min_samples_leaf': 9, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 0 with value: 0.7381955362168852. [TRIAL] #005 value=0.62280 | best=0.73820 | elapsed=58.5m | ETA~31.5m [I 2026-01-19 17:46:33,106] Trial 6 finished with value: 0.6561120826351201 and parameters: {'n_estimators': 1327, 'max_depth': 8, 'min_samples_split': 11, 'min_samples_leaf': 5, 'max_features': 'sqrt', 'class_weight': 'balanced_subsample'}. Best is trial 0 with value: 0.7381955362168852. [TRIAL] #006 value=0.65611 | best=0.73820 | elapsed=70.3m | ETA~19.7m [I 2026-01-19 17:58:32,771] Trial 7 finished with value: 0.7272199115343962 and parameters: {'n_estimators': 896, 'max_depth': 13, 'min_samples_split': 16, 'min_samples_leaf': 3, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 0 with value: 0.7381955362168852. [TRIAL] #007 value=0.72722 | best=0.73820 | elapsed=82.3m | ETA~7.7m [I 2026-01-19 18:10:26,285] Trial 8 finished with value: 0.7041210798451318 and parameters: {'n_estimators': 1008, 'max_depth': 12, 'min_samples_split': 18, 'min_samples_leaf': 5, 'max_features': 'sqrt', 'class_weight': 'balanced_subsample'}. Best is trial 0 with value: 0.7381955362168852. [TRIAL] #008 value=0.70412 | best=0.73820 | elapsed=94.2m | ETA~0.0m [SAVE] model_RF_supervised_normal_PR_AUC_64log_gc_tetra.joblib + metrics/params [DONE] RF | supervised | normal | PR_AUC in 104.1 min best=0.73820 [WRITE] metrics_summary.csv updated ------------------------------------------------------------------------ [RUN ] mode=supervised | weights=normal | metric=PR_AUC | model=XGB | timeout=5400s | trials=30 ------------------------------------------------------------------------ [I 2026-01-19 18:20:21,414] A new study created in memory with name: XGB_supervised_normal_PR_AUC_64log_gc_tetra [I 2026-01-19 18:29:21,391] Trial 0 finished with value: 0.7723546885666517 and parameters: {'n_estimators': 1978, 'max_depth': 9, 'learning_rate': 0.002357551862031591, 'subsample': 0.9705416222711074, 'colsample_bytree': 0.857126395329705, 'reg_alpha': 0.022097585922134767, 'reg_lambda': 0.001140780747994873, 'gamma': 0.6221667200593173, 'min_child_weight': 0.0011022146992719151, 'tree_method': 'hist'}. Best is trial 0 with value: 0.7723546885666517. [TRIAL] #000 value=0.77235 | best=0.77235 | elapsed=9.0m | ETA~81.0m [I 2026-01-19 18:31:33,549] Trial 1 finished with value: 0.7661962157658304 and parameters: {'n_estimators': 527, 'max_depth': 8, 'learning_rate': 0.0640623920035909, 'subsample': 0.7252569360522955, 'colsample_bytree': 0.8731837844626325, 'reg_alpha': 0.6603190278784967, 'reg_lambda': 1.9003076245456583, 'gamma': 3.9315236107544633, 'min_child_weight': 0.5796216093107294, 'tree_method': 'hist'}. Best is trial 0 with value: 0.7723546885666517. [TRIAL] #001 value=0.76620 | best=0.77235 | elapsed=11.2m | ETA~78.8m [I 2026-01-19 18:41:53,599] Trial 2 finished with value: 0.6348072208782904 and parameters: {'n_estimators': 579, 'max_depth': 3, 'learning_rate': 0.010716342290358822, 'subsample': 0.9017587361126207, 'colsample_bytree': 0.8278227076146982, 'reg_alpha': 0.00015913699097577902, 'reg_lambda': 0.003638392596057567, 'gamma': 0.964910471671333, 'min_child_weight': 4.697137775618837, 'tree_method': 'approx'}. Best is trial 0 with value: 0.7723546885666517. [TRIAL] #002 value=0.63481 | best=0.77235 | elapsed=21.5m | ETA~68.5m [I 2026-01-19 18:44:33,738] Trial 3 finished with value: 0.7573374833227822 and parameters: {'n_estimators': 1004, 'max_depth': 5, 'learning_rate': 0.029448554800184115, 'subsample': 0.8544359147093346, 'colsample_bytree': 0.9812116113753998, 'reg_alpha': 0.0009080066017425789, 'reg_lambda': 0.39816484391143064, 'gamma': 3.615591555220939, 'min_child_weight': 0.6027094623704469, 'tree_method': 'hist'}. Best is trial 0 with value: 0.7723546885666517. [TRIAL] #003 value=0.75734 | best=0.77235 | elapsed=24.2m | ETA~65.8m [I 2026-01-19 19:10:06,938] Trial 4 finished with value: 0.7592619637923973 and parameters: {'n_estimators': 1594, 'max_depth': 4, 'learning_rate': 0.11453163725822763, 'subsample': 0.9341510801790057, 'colsample_bytree': 0.9027970724341805, 'reg_alpha': 0.015692591303502156, 'reg_lambda': 0.012649283604911684, 'gamma': 1.9432674183895482, 'min_child_weight': 0.1693807839032401, 'tree_method': 'approx'}. Best is trial 0 with value: 0.7723546885666517. [TRIAL] #004 value=0.75926 | best=0.77235 | elapsed=49.8m | ETA~40.2m [I 2026-01-19 19:21:05,328] Trial 5 finished with value: 0.6393014660067925 and parameters: {'n_estimators': 559, 'max_depth': 4, 'learning_rate': 0.0033329962788158952, 'subsample': 0.8261165534659868, 'colsample_bytree': 0.6693479063588192, 'reg_alpha': 0.0012325083343754108, 'reg_lambda': 1.8883520534097344, 'gamma': 3.375553376165716, 'min_child_weight': 0.01459479163574188, 'tree_method': 'approx'}. Best is trial 0 with value: 0.7723546885666517. [TRIAL] #005 value=0.63930 | best=0.77235 | elapsed=60.7m | ETA~29.3m [I 2026-01-19 19:41:15,146] Trial 6 finished with value: 0.7546162290757814 and parameters: {'n_estimators': 1011, 'max_depth': 6, 'learning_rate': 0.012033038545970074, 'subsample': 0.7888264799442603, 'colsample_bytree': 0.8374025950089936, 'reg_alpha': 0.002929243309669112, 'reg_lambda': 4.937955017442961, 'gamma': 0.16816008614924438, 'min_child_weight': 0.12629434532388573, 'tree_method': 'approx'}. Best is trial 0 with value: 0.7723546885666517. [TRIAL] #006 value=0.75462 | best=0.77235 | elapsed=80.9m | ETA~9.1m [I 2026-01-19 19:50:31,163] Trial 7 finished with value: 0.7202379382641259 and parameters: {'n_estimators': 500, 'max_depth': 5, 'learning_rate': 0.013285466961325793, 'subsample': 0.799519202187336, 'colsample_bytree': 0.8218927852032627, 'reg_alpha': 0.0011795129509821298, 'reg_lambda': 0.8657364030080098, 'gamma': 1.2236117576597323, 'min_child_weight': 0.5735477214737714, 'tree_method': 'approx'}. Best is trial 0 with value: 0.7723546885666517. [TRIAL] #007 value=0.72024 | best=0.77235 | elapsed=90.2m | ETA~0.0m [SAVE] model_XGB_supervised_normal_PR_AUC_64log_gc_tetra.joblib + metrics/params [DONE] XGB | supervised | normal | PR_AUC in 100.6 min best=0.77235 [WRITE] metrics_summary.csv updated ------------------------------------------------------------------------ [RUN ] mode=supervised | weights=normal | metric=PR_AUC | model=ET | timeout=5400s | trials=30 ------------------------------------------------------------------------ [I 2026-01-19 20:00:55,093] A new study created in memory with name: ET_supervised_normal_PR_AUC_64log_gc_tetra [I 2026-01-19 20:03:55,126] Trial 0 finished with value: 0.6462181976441664 and parameters: {'n_estimators': 1110, 'max_depth': 12, 'min_samples_split': 10, 'min_samples_leaf': 3, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 0 with value: 0.6462181976441664. [TRIAL] #000 value=0.64622 | best=0.64622 | elapsed=3.0m | ETA~87.0m [I 2026-01-19 20:07:01,785] Trial 1 finished with value: 0.5795843143596169 and parameters: {'n_estimators': 1307, 'max_depth': 10, 'min_samples_split': 18, 'min_samples_leaf': 8, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 0 with value: 0.6462181976441664. [TRIAL] #001 value=0.57958 | best=0.64622 | elapsed=6.1m | ETA~83.9m [I 2026-01-19 20:09:44,706] Trial 2 finished with value: 0.4099851483572433 and parameters: {'n_estimators': 1367, 'max_depth': 6, 'min_samples_split': 10, 'min_samples_leaf': 12, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 0 with value: 0.6462181976441664. [TRIAL] #002 value=0.40999 | best=0.64622 | elapsed=8.8m | ETA~79.5m [I 2026-01-19 20:12:56,655] Trial 3 finished with value: 0.5510618937728096 and parameters: {'n_estimators': 1473, 'max_depth': 9, 'min_samples_split': 4, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 0 with value: 0.6462181976441664. [TRIAL] #003 value=0.55106 | best=0.64622 | elapsed=12.0m | ETA~78.0m [I 2026-01-19 20:15:04,133] Trial 4 finished with value: 0.3908590908401652 and parameters: {'n_estimators': 708, 'max_depth': 6, 'min_samples_split': 19, 'min_samples_leaf': 12, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 0 with value: 0.6462181976441664. [TRIAL] #004 value=0.39086 | best=0.64622 | elapsed=14.2m | ETA~70.8m [I 2026-01-19 20:18:55,144] Trial 5 finished with value: 0.6697302194198516 and parameters: {'n_estimators': 1612, 'max_depth': 13, 'min_samples_split': 7, 'min_samples_leaf': 4, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 5 with value: 0.6697302194198516. [TRIAL] #005 value=0.66973 | best=0.66973 | elapsed=18.0m | ETA~72.0m [I 2026-01-19 20:22:35,136] Trial 6 finished with value: 0.5487651144988385 and parameters: {'n_estimators': 1856, 'max_depth': 10, 'min_samples_split': 18, 'min_samples_leaf': 8, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 5 with value: 0.6697302194198516. [TRIAL] #006 value=0.54877 | best=0.66973 | elapsed=21.7m | ETA~68.3m [I 2026-01-19 20:24:55,840] Trial 7 finished with value: 0.39142665955286554 and parameters: {'n_estimators': 1162, 'max_depth': 6, 'min_samples_split': 18, 'min_samples_leaf': 5, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 5 with value: 0.6697302194198516. [TRIAL] #007 value=0.39143 | best=0.66973 | elapsed=24.0m | ETA~66.0m [I 2026-01-19 20:29:03,578] Trial 8 finished with value: 0.6349829680284943 and parameters: {'n_estimators': 1921, 'max_depth': 12, 'min_samples_split': 18, 'min_samples_leaf': 9, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 5 with value: 0.6697302194198516. [TRIAL] #008 value=0.63498 | best=0.66973 | elapsed=28.1m | ETA~61.9m [I 2026-01-19 20:33:43,165] Trial 9 finished with value: 0.725594864629497 and parameters: {'n_estimators': 1815, 'max_depth': 18, 'min_samples_split': 9, 'min_samples_leaf': 7, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 9 with value: 0.725594864629497. [TRIAL] #009 value=0.72559 | best=0.72559 | elapsed=32.8m | ETA~57.2m [I 2026-01-19 20:38:14,219] Trial 10 finished with value: 0.7072624776490547 and parameters: {'n_estimators': 1704, 'max_depth': 18, 'min_samples_split': 14, 'min_samples_leaf': 6, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 9 with value: 0.725594864629497. [TRIAL] #010 value=0.70726 | best=0.72559 | elapsed=37.3m | ETA~52.7m [I 2026-01-19 20:42:42,634] Trial 11 finished with value: 0.7071368674118023 and parameters: {'n_estimators': 1716, 'max_depth': 18, 'min_samples_split': 13, 'min_samples_leaf': 6, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 9 with value: 0.725594864629497. [TRIAL] #011 value=0.70714 | best=0.72559 | elapsed=41.8m | ETA~48.2m [I 2026-01-19 20:47:17,626] Trial 12 finished with value: 0.7071144855220375 and parameters: {'n_estimators': 1679, 'max_depth': 18, 'min_samples_split': 15, 'min_samples_leaf': 6, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 9 with value: 0.725594864629497. [TRIAL] #012 value=0.70711 | best=0.72559 | elapsed=46.4m | ETA~43.6m [I 2026-01-19 20:52:11,486] Trial 13 finished with value: 0.6779470950958092 and parameters: {'n_estimators': 1980, 'max_depth': 16, 'min_samples_split': 7, 'min_samples_leaf': 10, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 9 with value: 0.725594864629497. [TRIAL] #013 value=0.67795 | best=0.72559 | elapsed=51.3m | ETA~38.7m [I 2026-01-19 20:56:21,439] Trial 14 finished with value: 0.6661676068110084 and parameters: {'n_estimators': 1551, 'max_depth': 15, 'min_samples_split': 14, 'min_samples_leaf': 7, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 9 with value: 0.725594864629497. [TRIAL] #014 value=0.66617 | best=0.72559 | elapsed=55.4m | ETA~34.6m [I 2026-01-19 21:00:51,501] Trial 15 finished with value: 0.6825999063205666 and parameters: {'n_estimators': 1768, 'max_depth': 16, 'min_samples_split': 2, 'min_samples_leaf': 5, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 9 with value: 0.725594864629497. [TRIAL] #015 value=0.68260 | best=0.72559 | elapsed=59.9m | ETA~30.1m [I 2026-01-19 21:04:08,552] Trial 16 finished with value: 0.700018119665652 and parameters: {'n_estimators': 929, 'max_depth': 18, 'min_samples_split': 12, 'min_samples_leaf': 10, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 9 with value: 0.725594864629497. [TRIAL] #016 value=0.70002 | best=0.72559 | elapsed=63.2m | ETA~26.8m [I 2026-01-19 21:08:01,156] Trial 17 finished with value: 0.6811112964273438 and parameters: {'n_estimators': 1477, 'max_depth': 14, 'min_samples_split': 8, 'min_samples_leaf': 7, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 9 with value: 0.725594864629497. [TRIAL] #017 value=0.68111 | best=0.72559 | elapsed=67.1m | ETA~22.9m [I 2026-01-19 21:12:39,896] Trial 18 finished with value: 0.713489754821156 and parameters: {'n_estimators': 1796, 'max_depth': 16, 'min_samples_split': 15, 'min_samples_leaf': 5, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 9 with value: 0.725594864629497. [TRIAL] #018 value=0.71349 | best=0.72559 | elapsed=71.7m | ETA~18.3m [I 2026-01-19 21:17:29,868] Trial 19 finished with value: 0.7140195435270464 and parameters: {'n_estimators': 1851, 'max_depth': 16, 'min_samples_split': 16, 'min_samples_leaf': 4, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 9 with value: 0.725594864629497. [TRIAL] #019 value=0.71402 | best=0.72559 | elapsed=76.6m | ETA~13.4m [I 2026-01-19 21:22:04,609] Trial 20 finished with value: 0.7100767788882072 and parameters: {'n_estimators': 1984, 'max_depth': 15, 'min_samples_split': 9, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 9 with value: 0.725594864629497. [TRIAL] #020 value=0.71008 | best=0.72559 | elapsed=81.2m | ETA~8.8m [I 2026-01-19 21:26:43,310] Trial 21 finished with value: 0.7139780078063567 and parameters: {'n_estimators': 1825, 'max_depth': 16, 'min_samples_split': 16, 'min_samples_leaf': 4, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 9 with value: 0.725594864629497. [TRIAL] #021 value=0.71398 | best=0.72559 | elapsed=85.8m | ETA~4.2m [I 2026-01-19 21:31:29,799] Trial 22 finished with value: 0.7250999631943081 and parameters: {'n_estimators': 1838, 'max_depth': 17, 'min_samples_split': 16, 'min_samples_leaf': 3, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 9 with value: 0.725594864629497. [TRIAL] #022 value=0.72510 | best=0.72559 | elapsed=90.6m | ETA~0.0m [SAVE] model_ET_supervised_normal_PR_AUC_64log_gc_tetra.joblib + metrics/params [DONE] ET | supervised | normal | PR_AUC in 96.7 min best=0.72559 [WRITE] metrics_summary.csv updated ------------------------------------------------------------------------ [RUN ] mode=supervised | weights=normal | metric=FB | model=RF | timeout=5400s | trials=30 ------------------------------------------------------------------------ [I 2026-01-19 21:37:39,488] A new study created in memory with name: RF_supervised_normal_FB_64log_gc_tetra [I 2026-01-19 21:43:36,936] Trial 0 finished with value: 0.6533988297334393 and parameters: {'n_estimators': 470, 'max_depth': 9, 'min_samples_split': 3, 'min_samples_leaf': 7, 'max_features': 'sqrt', 'class_weight': 'balanced_subsample'}. Best is trial 0 with value: 0.6533988297334393. [TRIAL] #000 value=0.65340 | best=0.65340 | elapsed=6.0m | ETA~84.0m [I 2026-01-19 21:51:17,911] Trial 1 finished with value: 0.6666789071680376 and parameters: {'n_estimators': 707, 'max_depth': 10, 'min_samples_split': 3, 'min_samples_leaf': 8, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 1 with value: 0.6666789071680376. [TRIAL] #001 value=0.66668 | best=0.66668 | elapsed=13.6m | ETA~76.4m [I 2026-01-19 22:02:45,754] Trial 2 finished with value: 0.6488117691437193 and parameters: {'n_estimators': 1287, 'max_depth': 8, 'min_samples_split': 8, 'min_samples_leaf': 11, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 1 with value: 0.6666789071680376. [TRIAL] #002 value=0.64881 | best=0.66668 | elapsed=25.1m | ETA~64.9m [I 2026-01-19 22:08:03,772] Trial 3 finished with value: 0.6652352570984341 and parameters: {'n_estimators': 415, 'max_depth': 10, 'min_samples_split': 19, 'min_samples_leaf': 6, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 1 with value: 0.6666789071680376. [TRIAL] #003 value=0.66524 | best=0.66668 | elapsed=30.4m | ETA~59.6m [I 2026-01-19 22:22:08,506] Trial 4 finished with value: 0.6875804967801288 and parameters: {'n_estimators': 1161, 'max_depth': 12, 'min_samples_split': 17, 'min_samples_leaf': 7, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 4 with value: 0.6875804967801288. [TRIAL] #004 value=0.68758 | best=0.68758 | elapsed=44.5m | ETA~45.5m [I 2026-01-19 22:27:20,863] Trial 5 finished with value: 0.6403976372280651 and parameters: {'n_estimators': 480, 'max_depth': 8, 'min_samples_split': 3, 'min_samples_leaf': 9, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 4 with value: 0.6875804967801288. [TRIAL] #005 value=0.64040 | best=0.68758 | elapsed=49.7m | ETA~40.3m [I 2026-01-19 22:37:18,724] Trial 6 finished with value: 0.6188988676298322 and parameters: {'n_estimators': 1188, 'max_depth': 7, 'min_samples_split': 9, 'min_samples_leaf': 11, 'max_features': 'sqrt', 'class_weight': 'balanced_subsample'}. Best is trial 4 with value: 0.6875804967801288. [TRIAL] #006 value=0.61890 | best=0.68758 | elapsed=59.7m | ETA~30.3m [I 2026-01-19 22:47:08,473] Trial 7 finished with value: 0.6343147946201382 and parameters: {'n_estimators': 1228, 'max_depth': 7, 'min_samples_split': 3, 'min_samples_leaf': 3, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 4 with value: 0.6875804967801288. [TRIAL] #007 value=0.63431 | best=0.68758 | elapsed=69.5m | ETA~20.5m [I 2026-01-19 22:58:59,159] Trial 8 finished with value: 0.641002524341868 and parameters: {'n_estimators': 1335, 'max_depth': 8, 'min_samples_split': 9, 'min_samples_leaf': 8, 'max_features': 'sqrt', 'class_weight': 'balanced_subsample'}. Best is trial 4 with value: 0.6875804967801288. [TRIAL] #008 value=0.64100 | best=0.68758 | elapsed=81.4m | ETA~8.6m [I 2026-01-19 23:08:11,324] Trial 9 finished with value: 0.6956663408276311 and parameters: {'n_estimators': 724, 'max_depth': 14, 'min_samples_split': 11, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 9 with value: 0.6956663408276311. [TRIAL] #009 value=0.69567 | best=0.69567 | elapsed=90.5m | ETA~0.0m [SAVE] model_RF_supervised_normal_FB_64log_gc_tetra.joblib + metrics/params [DONE] RF | supervised | normal | FB in 101.2 min best=0.69567 [WRITE] metrics_summary.csv updated ------------------------------------------------------------------------ [RUN ] mode=supervised | weights=normal | metric=FB | model=XGB | timeout=5400s | trials=30 ------------------------------------------------------------------------ [I 2026-01-19 23:18:52,972] A new study created in memory with name: XGB_supervised_normal_FB_64log_gc_tetra [I 2026-01-19 23:30:22,738] Trial 0 finished with value: 0.7228274824841349 and parameters: {'n_estimators': 584, 'max_depth': 6, 'learning_rate': 0.0411423259901122, 'subsample': 0.7922208117809617, 'colsample_bytree': 0.5226189110106358, 'reg_alpha': 2.439631799782688, 'reg_lambda': 3.687778495922545, 'gamma': 2.4657965361704806, 'min_child_weight': 0.009708284705616604, 'tree_method': 'approx'}. Best is trial 0 with value: 0.7228274824841349. [TRIAL] #000 value=0.72283 | best=0.72283 | elapsed=11.5m | ETA~78.5m [I 2026-01-19 23:32:50,455] Trial 1 finished with value: 0.6792252100223779 and parameters: {'n_estimators': 475, 'max_depth': 7, 'learning_rate': 0.002723176894683728, 'subsample': 0.6106056377226889, 'colsample_bytree': 0.9771267413412765, 'reg_alpha': 0.004938969495145327, 'reg_lambda': 0.9669291666701413, 'gamma': 3.794037006737312, 'min_child_weight': 0.17371726196893875, 'tree_method': 'hist'}. Best is trial 0 with value: 0.7228274824841349. [TRIAL] #001 value=0.67923 | best=0.72283 | elapsed=14.0m | ETA~76.0m [I 2026-01-20 00:15:01,009] Trial 2 finished with value: 0.7288392559997042 and parameters: {'n_estimators': 1475, 'max_depth': 8, 'learning_rate': 0.003869966856961093, 'subsample': 0.695539547400457, 'colsample_bytree': 0.5282809470904072, 'reg_alpha': 0.10100402636399433, 'reg_lambda': 0.06638644471702754, 'gamma': 2.8148186627893175, 'min_child_weight': 0.014821057649361884, 'tree_method': 'approx'}. Best is trial 2 with value: 0.7288392559997042. [TRIAL] #002 value=0.72884 | best=0.72884 | elapsed=56.1m | ETA~33.9m [I 2026-01-20 00:17:14,020] Trial 3 finished with value: 0.713692196531792 and parameters: {'n_estimators': 1469, 'max_depth': 8, 'learning_rate': 0.09992252914994491, 'subsample': 0.9171323408899723, 'colsample_bytree': 0.8644527769652407, 'reg_alpha': 0.05685464162472454, 'reg_lambda': 0.2245894120996917, 'gamma': 4.948386008044837, 'min_child_weight': 0.01902941878379105, 'tree_method': 'hist'}. Best is trial 2 with value: 0.7288392559997042. [TRIAL] #003 value=0.71369 | best=0.72884 | elapsed=58.4m | ETA~31.6m [I 2026-01-20 00:31:52,415] Trial 4 finished with value: 0.6930528952409017 and parameters: {'n_estimators': 842, 'max_depth': 5, 'learning_rate': 0.008118095115987415, 'subsample': 0.7787665879421787, 'colsample_bytree': 0.682793796954394, 'reg_alpha': 0.03438368602990144, 'reg_lambda': 0.3232666232949592, 'gamma': 1.2319037826567858, 'min_child_weight': 0.006189691801134869, 'tree_method': 'approx'}. Best is trial 2 with value: 0.7288392559997042. [TRIAL] #004 value=0.69305 | best=0.72884 | elapsed=73.0m | ETA~17.0m [I 2026-01-20 00:59:27,977] Trial 5 finished with value: 0.677087205412237 and parameters: {'n_estimators': 1659, 'max_depth': 4, 'learning_rate': 0.004351877824557905, 'subsample': 0.6237085636969654, 'colsample_bytree': 0.8399686323138285, 'reg_alpha': 0.11715909997929934, 'reg_lambda': 0.13122672818886402, 'gamma': 0.14690818448270082, 'min_child_weight': 0.09482917199094015, 'tree_method': 'approx'}. Best is trial 2 with value: 0.7288392559997042. [TRIAL] #005 value=0.67709 | best=0.72884 | elapsed=100.6m | ETA~0.0m [SAVE] model_XGB_supervised_normal_FB_64log_gc_tetra.joblib + metrics/params [DONE] XGB | supervised | normal | FB in 152.0 min best=0.72884 [WRITE] metrics_summary.csv updated ------------------------------------------------------------------------ [RUN ] mode=supervised | weights=normal | metric=FB | model=ET | timeout=5400s | trials=30 ------------------------------------------------------------------------ [I 2026-01-20 01:50:51,210] A new study created in memory with name: ET_supervised_normal_FB_64log_gc_tetra [I 2026-01-20 01:54:03,161] Trial 0 finished with value: 0.6125421922188666 and parameters: {'n_estimators': 1013, 'max_depth': 11, 'min_samples_split': 14, 'min_samples_leaf': 6, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 0 with value: 0.6125421922188666. [TRIAL] #000 value=0.61254 | best=0.61254 | elapsed=3.2m | ETA~86.8m [I 2026-01-20 01:58:00,054] Trial 1 finished with value: 0.6833558863328822 and parameters: {'n_estimators': 1454, 'max_depth': 16, 'min_samples_split': 2, 'min_samples_leaf': 7, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 1 with value: 0.6833558863328822. [TRIAL] #001 value=0.68336 | best=0.68336 | elapsed=7.2m | ETA~82.8m [I 2026-01-20 02:01:53,102] Trial 2 finished with value: 0.6440962506994964 and parameters: {'n_estimators': 1752, 'max_depth': 12, 'min_samples_split': 2, 'min_samples_leaf': 10, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 1 with value: 0.6833558863328822. [TRIAL] #002 value=0.64410 | best=0.68336 | elapsed=11.0m | ETA~79.0m [I 2026-01-20 02:04:38,829] Trial 3 finished with value: 0.5951092837048257 and parameters: {'n_estimators': 995, 'max_depth': 10, 'min_samples_split': 3, 'min_samples_leaf': 4, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 1 with value: 0.6833558863328822. [TRIAL] #003 value=0.59511 | best=0.68336 | elapsed=13.8m | ETA~76.2m [I 2026-01-20 02:07:30,210] Trial 4 finished with value: 0.6486377322464566 and parameters: {'n_estimators': 1031, 'max_depth': 12, 'min_samples_split': 14, 'min_samples_leaf': 7, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 1 with value: 0.6833558863328822. [TRIAL] #004 value=0.64864 | best=0.68336 | elapsed=16.7m | ETA~73.3m [I 2026-01-20 02:09:33,267] Trial 5 finished with value: 0.4543546294176017 and parameters: {'n_estimators': 714, 'max_depth': 6, 'min_samples_split': 19, 'min_samples_leaf': 9, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 1 with value: 0.6833558863328822. [TRIAL] #005 value=0.45435 | best=0.68336 | elapsed=18.7m | ETA~71.3m [I 2026-01-20 02:11:58,108] Trial 6 finished with value: 0.6562935268675317 and parameters: {'n_estimators': 652, 'max_depth': 13, 'min_samples_split': 13, 'min_samples_leaf': 10, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 1 with value: 0.6833558863328822. [TRIAL] #006 value=0.65629 | best=0.68336 | elapsed=21.1m | ETA~68.9m [I 2026-01-20 02:15:50,795] Trial 7 finished with value: 0.6517924291802457 and parameters: {'n_estimators': 1603, 'max_depth': 14, 'min_samples_split': 6, 'min_samples_leaf': 11, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 1 with value: 0.6833558863328822. [TRIAL] #007 value=0.65179 | best=0.68336 | elapsed=25.0m | ETA~65.0m [I 2026-01-20 02:19:37,945] Trial 8 finished with value: 0.6743933357479174 and parameters: {'n_estimators': 1370, 'max_depth': 17, 'min_samples_split': 2, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 1 with value: 0.6833558863328822. [TRIAL] #008 value=0.67439 | best=0.68336 | elapsed=28.8m | ETA~61.2m [I 2026-01-20 02:23:08,303] Trial 9 finished with value: 0.6557974979027611 and parameters: {'n_estimators': 1354, 'max_depth': 12, 'min_samples_split': 9, 'min_samples_leaf': 3, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 1 with value: 0.6833558863328822. [TRIAL] #009 value=0.65580 | best=0.68336 | elapsed=32.3m | ETA~57.7m [I 2026-01-20 02:28:00,909] Trial 10 finished with value: 0.6925663590183874 and parameters: {'n_estimators': 1904, 'max_depth': 18, 'min_samples_split': 8, 'min_samples_leaf': 7, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 10 with value: 0.6925663590183874. [TRIAL] #010 value=0.69257 | best=0.69257 | elapsed=37.2m | ETA~52.8m [I 2026-01-20 02:32:53,958] Trial 11 finished with value: 0.6922746934544025 and parameters: {'n_estimators': 1987, 'max_depth': 18, 'min_samples_split': 7, 'min_samples_leaf': 7, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 10 with value: 0.6925663590183874. [TRIAL] #011 value=0.69227 | best=0.69257 | elapsed=42.0m | ETA~48.0m [I 2026-01-20 02:38:03,520] Trial 12 finished with value: 0.6996574459464437 and parameters: {'n_estimators': 1990, 'max_depth': 18, 'min_samples_split': 9, 'min_samples_leaf': 5, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 12 with value: 0.6996574459464437. [TRIAL] #012 value=0.69966 | best=0.69966 | elapsed=47.2m | ETA~42.8m [I 2026-01-20 02:42:46,955] Trial 13 finished with value: 0.6838120199483091 and parameters: {'n_estimators': 1967, 'max_depth': 15, 'min_samples_split': 10, 'min_samples_leaf': 5, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 12 with value: 0.6996574459464437. [TRIAL] #013 value=0.68381 | best=0.69966 | elapsed=51.9m | ETA~38.1m [I 2026-01-20 02:47:22,313] Trial 14 finished with value: 0.6958440603162928 and parameters: {'n_estimators': 1762, 'max_depth': 17, 'min_samples_split': 7, 'min_samples_leaf': 5, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 12 with value: 0.6996574459464437. [TRIAL] #014 value=0.69584 | best=0.69966 | elapsed=56.5m | ETA~33.5m [I 2026-01-20 02:51:47,944] Trial 15 finished with value: 0.6893335284219767 and parameters: {'n_estimators': 1723, 'max_depth': 16, 'min_samples_split': 5, 'min_samples_leaf': 5, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 12 with value: 0.6996574459464437. [TRIAL] #015 value=0.68933 | best=0.69966 | elapsed=60.9m | ETA~29.1m [I 2026-01-20 02:54:55,056] Trial 16 finished with value: 0.5205129997204361 and parameters: {'n_estimators': 1766, 'max_depth': 8, 'min_samples_split': 12, 'min_samples_leaf': 4, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 12 with value: 0.6996574459464437. [TRIAL] #016 value=0.52051 | best=0.69966 | elapsed=64.1m | ETA~25.9m [I 2026-01-20 02:58:47,648] Trial 17 finished with value: 0.6830894610112984 and parameters: {'n_estimators': 1535, 'max_depth': 15, 'min_samples_split': 17, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 12 with value: 0.6996574459464437. [TRIAL] #017 value=0.68309 | best=0.69966 | elapsed=67.9m | ETA~22.1m [I 2026-01-20 03:02:15,086] Trial 18 finished with value: 0.6990058910162003 and parameters: {'n_estimators': 1153, 'max_depth': 18, 'min_samples_split': 5, 'min_samples_leaf': 5, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 12 with value: 0.6996574459464437. [TRIAL] #018 value=0.69901 | best=0.69966 | elapsed=71.4m | ETA~18.6m [I 2026-01-20 03:05:47,138] Trial 19 finished with value: 0.688238865673774 and parameters: {'n_estimators': 1196, 'max_depth': 18, 'min_samples_split': 5, 'min_samples_leaf': 8, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 12 with value: 0.6996574459464437. [TRIAL] #019 value=0.68824 | best=0.69966 | elapsed=74.9m | ETA~15.1m [I 2026-01-20 03:08:32,722] Trial 20 finished with value: 0.662527017620984 and parameters: {'n_estimators': 846, 'max_depth': 14, 'min_samples_split': 11, 'min_samples_leaf': 12, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 12 with value: 0.6996574459464437. [TRIAL] #020 value=0.66253 | best=0.69966 | elapsed=77.7m | ETA~12.3m [I 2026-01-20 03:12:03,754] Trial 21 finished with value: 0.6959673928726013 and parameters: {'n_estimators': 1195, 'max_depth': 17, 'min_samples_split': 8, 'min_samples_leaf': 5, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 12 with value: 0.6996574459464437. [TRIAL] #021 value=0.69597 | best=0.69966 | elapsed=81.2m | ETA~8.8m [I 2026-01-20 03:15:38,637] Trial 22 finished with value: 0.6982325987344534 and parameters: {'n_estimators': 1173, 'max_depth': 17, 'min_samples_split': 9, 'min_samples_leaf': 4, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 12 with value: 0.6996574459464437. [TRIAL] #022 value=0.69823 | best=0.69966 | elapsed=84.8m | ETA~5.2m [I 2026-01-20 03:19:13,191] Trial 23 finished with value: 0.6981221168864189 and parameters: {'n_estimators': 1184, 'max_depth': 16, 'min_samples_split': 4, 'min_samples_leaf': 3, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 12 with value: 0.6996574459464437. [TRIAL] #023 value=0.69812 | best=0.69966 | elapsed=88.4m | ETA~1.6m [I 2026-01-20 03:22:24,168] Trial 24 finished with value: 0.7011165930927032 and parameters: {'n_estimators': 888, 'max_depth': 18, 'min_samples_split': 10, 'min_samples_leaf': 4, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 24 with value: 0.7011165930927032. [TRIAL] #024 value=0.70112 | best=0.70112 | elapsed=91.6m | ETA~0.0m [SAVE] model_ET_supervised_normal_FB_64log_gc_tetra.joblib + metrics/params [DONE] ET | supervised | normal | FB in 95.2 min best=0.70112 [WRITE] metrics_summary.csv updated ------------------------------------------------------------------------ [RUN ] mode=supervised | weights=weighted | metric=F1 | model=RF | timeout=5400s | trials=30 ------------------------------------------------------------------------ [I 2026-01-20 03:26:02,187] A new study created in memory with name: RF_supervised_weighted_F1_64log_gc_tetra [W 2026-01-20 03:26:48,721] Trial 0 failed with parameters: {'n_estimators': 1142, 'max_depth': 13, 'min_samples_split': 4, 'min_samples_leaf': 3, 'max_features': 'sqrt', 'class_weight': 'balanced_subsample'} because of the following error: ValueError('Pipeline.fit does not accept the sample_weight parameter. You can pass parameters to specific steps of your pipeline using the stepname__parameter format, e.g. `Pipeline.fit(X, y, logisticregression__sample_weight=sample_weight)`.'). Traceback (most recent call last): File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/optuna/study/_optimize.py", line 201, in _run_trial value_or_values = func(trial) ^^^^^^^^^^^ File "/TomaszLab/tRNA/Modele_final/Mass_models.py", line 555, in objective model_fold.fit(Xtr, ytr, sample_weight=sw_tr) File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/sklearn/base.py", line 1365, in wrapper return fit_method(estimator, *args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/sklearn/pipeline.py", line 654, in fit routed_params = self._check_method_params(method="fit", props=params) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/sklearn/pipeline.py", line 460, in _check_method_params raise ValueError( ValueError: Pipeline.fit does not accept the sample_weight parameter. You can pass parameters to specific steps of your pipeline using the stepname__parameter format, e.g. `Pipeline.fit(X, y, logisticregression__sample_weight=sample_weight)`. [W 2026-01-20 03:26:48,728] Trial 0 failed with value None. Traceback (most recent call last): File "/TomaszLab/tRNA/Modele_final/Mass_models.py", line 903, in main() File "/TomaszLab/tRNA/Modele_final/Mass_models.py", line 868, in main model, best_params, met_dict, study = fit_best_model( ^^^^^^^^^^^^^^^ File "/TomaszLab/tRNA/Modele_final/Mass_models.py", line 635, in fit_best_model study.optimize( File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/optuna/study/study.py", line 490, in optimize _optimize( File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/optuna/study/_optimize.py", line 63, in _optimize _optimize_sequential( File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/optuna/study/_optimize.py", line 160, in _optimize_sequential frozen_trial_id = _run_trial(study, func, catch) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/optuna/study/_optimize.py", line 258, in _run_trial raise func_err File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/optuna/study/_optimize.py", line 201, in _run_trial value_or_values = func(trial) ^^^^^^^^^^^ File "/TomaszLab/tRNA/Modele_final/Mass_models.py", line 555, in objective model_fold.fit(Xtr, ytr, sample_weight=sw_tr) File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/sklearn/base.py", line 1365, in wrapper return fit_method(estimator, *args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/sklearn/pipeline.py", line 654, in fit routed_params = self._check_method_params(method="fit", props=params) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/sklearn/pipeline.py", line 460, in _check_method_params raise ValueError( ValueError: Pipeline.fit does not accept the sample_weight parameter. You can pass parameters to specific steps of your pipeline using the stepname__parameter format, e.g. `Pipeline.fit(X, y, logisticregression__sample_weight=sample_weight)`. [?2004h(models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$  (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 Mass_models.py --ndjson split_dataset/subset01/ --supp2 Supp2.xlsx --supp1 Supp1.csv --outdir results_models --train_mode both --weight_mode both --model all --metric all --n_trials 30 --timeout 5400 [?2004l [CPU ] total=32 using=28 (flag=0) [DIR ] results_models: /TomaszLab/tRNA/Modele_final/results_models/results_models [HAVE] 0 trained models already present [LOAD] train: split_dataset/subset01/train.jsonl (lines≈198216) ^CTraceback (most recent call last): File "/TomaszLab/tRNA/Modele_final/Mass_models.py", line 931, in main() File "/TomaszLab/tRNA/Modele_final/Mass_models.py", line 813, in main Xtr, ytr, gtr, mtr, Xte, yte, gte, mte = _load_train_test(args.ndjson, args.supp2) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/TomaszLab/tRNA/Modele_final/Mass_models.py", line 234, in _load_train_test Xtr, mtr = build_feature_matrices(str(tr), True) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/TomaszLab/tRNA/Modele_final/Mass_models.py", line 182, in build_feature_matrices line = line.strip() ^^^^^^^^^^^^ KeyboardInterrupt ^C [?2004h(models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 Mass_models.py --ndjson split_dataset/subset01/ --supp2 Supp2.xlsx --supp1 Supp1.csv --outdir results_models --train_mode both --weight_mode both --model all --metric all --n_trials 30 --timeout 5400models[1@. [?2004l [CPU ] total=32 using=28 (flag=0) [DIR ] results_models: /TomaszLab/tRNA/Modele_final/results_models [HAVE] 9 trained models already present [LOAD] train: split_dataset/subset01/train.jsonl (lines≈198216) [LOAD] test: split_dataset/subset01/test.jsonl (lines≈49555) [LOAD] Supp1 mapping for weights: Supp1.csv [WRITE] weights_snapshot_train.tsv / weights_snapshot_test.tsv [WEIGHTS] Supp2(P) weights: n=5290 mean=0.961 sd=0.056 min=0.750 max=1.000 ======================================================================== [DATA] train=(198216, 322) P(from Supp2)=5290 (2.669%) [DATA] test=(49555, 322) P(from Supp2)=1384 (2.793%) ======================================================================== [SKIP] exists: model_RF_supervised_normal_F1_64log_gc_tetra.joblib [SKIP] exists: model_XGB_supervised_normal_F1_64log_gc_tetra.joblib [SKIP] exists: model_ET_supervised_normal_F1_64log_gc_tetra.joblib [SKIP] exists: model_RF_supervised_normal_PR_AUC_64log_gc_tetra.joblib [SKIP] exists: model_XGB_supervised_normal_PR_AUC_64log_gc_tetra.joblib [SKIP] exists: model_ET_supervised_normal_PR_AUC_64log_gc_tetra.joblib [SKIP] exists: model_RF_supervised_normal_FB_64log_gc_tetra.joblib [SKIP] exists: model_XGB_supervised_normal_FB_64log_gc_tetra.joblib [SKIP] exists: model_ET_supervised_normal_FB_64log_gc_tetra.joblib ------------------------------------------------------------------------ [RUN ] mode=supervised | weights=weighted | metric=F1 | model=RF | timeout=5400s | trials=30 ------------------------------------------------------------------------ [I 2026-01-20 04:08:47,590] A new study created in memory with name: RF_supervised_weighted_F1_64log_gc_tetra [I 2026-01-20 04:17:49,076] Trial 0 finished with value: 0.6427842920935014 and parameters: {'n_estimators': 1239, 'max_depth': 6, 'min_samples_split': 11, 'min_samples_leaf': 10, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 0 with value: 0.6427842920935014. [TRIAL] #000 value=0.64278 | best=0.64278 | elapsed=9.0m | ETA~81.0m [I 2026-01-20 04:30:45,624] Trial 1 finished with value: 0.715185320536404 and parameters: {'n_estimators': 1051, 'max_depth': 12, 'min_samples_split': 7, 'min_samples_leaf': 6, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 1 with value: 0.715185320536404. [TRIAL] #001 value=0.71519 | best=0.71519 | elapsed=22.0m | ETA~68.0m [I 2026-01-20 04:40:42,566] Trial 2 finished with value: 0.6828861529988562 and parameters: {'n_estimators': 831, 'max_depth': 11, 'min_samples_split': 18, 'min_samples_leaf': 4, 'max_features': 'sqrt', 'class_weight': 'balanced_subsample'}. Best is trial 1 with value: 0.715185320536404. [TRIAL] #002 value=0.68289 | best=0.71519 | elapsed=31.9m | ETA~58.1m [I 2026-01-20 04:48:04,697] Trial 3 finished with value: 0.7170877819106146 and parameters: {'n_estimators': 436, 'max_depth': 15, 'min_samples_split': 16, 'min_samples_leaf': 8, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 3 with value: 0.7170877819106146. [TRIAL] #003 value=0.71709 | best=0.71709 | elapsed=39.3m | ETA~50.7m [I 2026-01-20 04:57:24,229] Trial 4 finished with value: 0.6541337810825156 and parameters: {'n_estimators': 953, 'max_depth': 8, 'min_samples_split': 16, 'min_samples_leaf': 8, 'max_features': 'sqrt', 'class_weight': 'balanced_subsample'}. Best is trial 3 with value: 0.7170877819106146. [TRIAL] #004 value=0.65413 | best=0.71709 | elapsed=48.6m | ETA~41.4m [I 2026-01-20 05:07:35,733] Trial 5 finished with value: 0.7109977204287997 and parameters: {'n_estimators': 839, 'max_depth': 11, 'min_samples_split': 10, 'min_samples_leaf': 5, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 3 with value: 0.7170877819106146. [TRIAL] #005 value=0.71100 | best=0.71709 | elapsed=58.8m | ETA~31.2m [I 2026-01-20 05:14:38,094] Trial 6 finished with value: 0.6760196642551829 and parameters: {'n_estimators': 610, 'max_depth': 10, 'min_samples_split': 18, 'min_samples_leaf': 12, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 3 with value: 0.7170877819106146. [TRIAL] #006 value=0.67602 | best=0.71709 | elapsed=65.8m | ETA~24.2m [I 2026-01-20 05:28:23,006] Trial 7 finished with value: 0.6752845021730602 and parameters: {'n_estimators': 1299, 'max_depth': 10, 'min_samples_split': 9, 'min_samples_leaf': 7, 'max_features': 'sqrt', 'class_weight': 'balanced_subsample'}. Best is trial 3 with value: 0.7170877819106146. [TRIAL] #007 value=0.67528 | best=0.71709 | elapsed=79.6m | ETA~10.4m [I 2026-01-20 05:40:33,679] Trial 8 finished with value: 0.683170333176279 and parameters: {'n_estimators': 1150, 'max_depth': 11, 'min_samples_split': 8, 'min_samples_leaf': 9, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 3 with value: 0.7170877819106146. [TRIAL] #008 value=0.68317 | best=0.71709 | elapsed=91.8m | ETA~0.0m [SAVE] model_RF_supervised_weighted_F1_64log_gc_tetra.joblib + metrics/params [DONE] RF | supervised | weighted | F1 in 100.3 min best=0.71709 [WRITE] metrics_summary.csv updated ------------------------------------------------------------------------ [RUN ] mode=supervised | weights=weighted | metric=F1 | model=XGB | timeout=5400s | trials=30 ------------------------------------------------------------------------ [I 2026-01-20 05:49:06,973] A new study created in memory with name: XGB_supervised_weighted_F1_64log_gc_tetra [I 2026-01-20 05:51:47,053] Trial 0 finished with value: 0.7110798663903017 and parameters: {'n_estimators': 575, 'max_depth': 6, 'learning_rate': 0.005341296576909013, 'subsample': 0.656402795936789, 'colsample_bytree': 0.6838085711187258, 'reg_alpha': 0.053794776993950855, 'reg_lambda': 0.20303038279383276, 'gamma': 0.10400685473000992, 'min_child_weight': 0.1512686295657597, 'tree_method': 'hist'}. Best is trial 0 with value: 0.7110798663903017. [TRIAL] #000 value=0.71108 | best=0.71108 | elapsed=2.7m | ETA~77.5m [I 2026-01-20 06:19:09,326] Trial 1 finished with value: 0.6525612909900078 and parameters: {'n_estimators': 1695, 'max_depth': 3, 'learning_rate': 0.003191848416996316, 'subsample': 0.7417249801760951, 'colsample_bytree': 0.9361831986788145, 'reg_alpha': 0.00022968016735962606, 'reg_lambda': 0.013493325857467663, 'gamma': 2.6912635191147305, 'min_child_weight': 0.17052097502640298, 'tree_method': 'approx'}. Best is trial 0 with value: 0.7110798663903017. [TRIAL] #001 value=0.65256 | best=0.71108 | elapsed=30.1m | ETA~59.9m [I 2026-01-20 06:21:30,752] Trial 2 finished with value: 0.7202021088391657 and parameters: {'n_estimators': 647, 'max_depth': 4, 'learning_rate': 0.03540176348742688, 'subsample': 0.7822489249696754, 'colsample_bytree': 0.6934679852870117, 'reg_alpha': 0.00015941557172984632, 'reg_lambda': 0.0791324038402178, 'gamma': 3.610545753337593, 'min_child_weight': 0.016088698629800342, 'tree_method': 'hist'}. Best is trial 2 with value: 0.7202021088391657. [TRIAL] #002 value=0.72020 | best=0.72020 | elapsed=32.4m | ETA~57.6m [I 2026-01-20 06:24:10,270] Trial 3 finished with value: 0.7160180979109849 and parameters: {'n_estimators': 937, 'max_depth': 5, 'learning_rate': 0.012761581220041465, 'subsample': 0.9212373097709867, 'colsample_bytree': 0.8684092043393676, 'reg_alpha': 1.9230533190552281, 'reg_lambda': 0.05304171139084675, 'gamma': 4.651568951697438, 'min_child_weight': 0.059767616643371144, 'tree_method': 'hist'}. Best is trial 2 with value: 0.7202021088391657. [TRIAL] #003 value=0.71602 | best=0.72020 | elapsed=35.1m | ETA~54.9m [I 2026-01-20 06:44:30,347] Trial 4 finished with value: 0.7316308621469358 and parameters: {'n_estimators': 1210, 'max_depth': 4, 'learning_rate': 0.022390143279946068, 'subsample': 0.6119166034331064, 'colsample_bytree': 0.7634794692174656, 'reg_alpha': 0.11474692256076882, 'reg_lambda': 0.029545835921518455, 'gamma': 2.462822671955039, 'min_child_weight': 0.001250663371488059, 'tree_method': 'approx'}. Best is trial 4 with value: 0.7316308621469358. [TRIAL] #004 value=0.73163 | best=0.73163 | elapsed=55.4m | ETA~34.6m [I 2026-01-20 06:46:41,130] Trial 5 finished with value: 0.620260542193486 and parameters: {'n_estimators': 583, 'max_depth': 3, 'learning_rate': 0.0024081677123802703, 'subsample': 0.8498435913334692, 'colsample_bytree': 0.601272716267844, 'reg_alpha': 0.22250326011796034, 'reg_lambda': 0.005633515685464009, 'gamma': 0.7026163803395535, 'min_child_weight': 0.02304447304995728, 'tree_method': 'hist'}. Best is trial 4 with value: 0.7316308621469358. [TRIAL] #005 value=0.62026 | best=0.73163 | elapsed=57.6m | ETA~32.4m [I 2026-01-20 07:20:57,339] Trial 6 finished with value: 0.711486309973874 and parameters: {'n_estimators': 1716, 'max_depth': 7, 'learning_rate': 0.0035425465617415666, 'subsample': 0.7310165056511151, 'colsample_bytree': 0.6093822966600293, 'reg_alpha': 8.518161420144303, 'reg_lambda': 3.2276346386209958, 'gamma': 2.1322832700362953, 'min_child_weight': 0.5539014148193161, 'tree_method': 'approx'}. Best is trial 4 with value: 0.7316308621469358. [TRIAL] #006 value=0.71149 | best=0.73163 | elapsed=91.9m | ETA~0.0m [SAVE] model_XGB_supervised_weighted_F1_64log_gc_tetra.joblib + metrics/params [DONE] XGB | supervised | weighted | F1 in 116.0 min best=0.73163 [WRITE] metrics_summary.csv updated ------------------------------------------------------------------------ [RUN ] mode=supervised | weights=weighted | metric=F1 | model=ET | timeout=5400s | trials=30 ------------------------------------------------------------------------ [I 2026-01-20 07:45:09,873] A new study created in memory with name: ET_supervised_weighted_F1_64log_gc_tetra [I 2026-01-20 07:48:20,569] Trial 0 finished with value: 0.4437760728093518 and parameters: {'n_estimators': 1765, 'max_depth': 7, 'min_samples_split': 19, 'min_samples_leaf': 7, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 0 with value: 0.4437760728093518. [TRIAL] #000 value=0.44378 | best=0.44378 | elapsed=3.2m | ETA~86.8m [I 2026-01-20 07:52:02,853] Trial 1 finished with value: 0.5960697073918769 and parameters: {'n_estimators': 1964, 'max_depth': 9, 'min_samples_split': 4, 'min_samples_leaf': 9, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 1 with value: 0.5960697073918769. [TRIAL] #001 value=0.59607 | best=0.59607 | elapsed=6.9m | ETA~83.1m [I 2026-01-20 07:54:42,452] Trial 2 finished with value: 0.7078717137897177 and parameters: {'n_estimators': 611, 'max_depth': 18, 'min_samples_split': 17, 'min_samples_leaf': 5, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 2 with value: 0.7078717137897177. [TRIAL] #002 value=0.70787 | best=0.70787 | elapsed=9.5m | ETA~80.5m [I 2026-01-20 07:58:14,980] Trial 3 finished with value: 0.7038364521675552 and parameters: {'n_estimators': 1017, 'max_depth': 18, 'min_samples_split': 17, 'min_samples_leaf': 7, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 2 with value: 0.7078717137897177. [TRIAL] #003 value=0.70384 | best=0.70787 | elapsed=13.1m | ETA~76.9m [I 2026-01-20 08:01:10,440] Trial 4 finished with value: 0.6058326734284494 and parameters: {'n_estimators': 1053, 'max_depth': 10, 'min_samples_split': 20, 'min_samples_leaf': 8, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 2 with value: 0.7078717137897177. [TRIAL] #004 value=0.60583 | best=0.70787 | elapsed=16.0m | ETA~74.0m [I 2026-01-20 08:04:10,810] Trial 5 finished with value: 0.48224753335249587 and parameters: {'n_estimators': 1674, 'max_depth': 6, 'min_samples_split': 15, 'min_samples_leaf': 3, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 2 with value: 0.7078717137897177. [TRIAL] #005 value=0.48225 | best=0.70787 | elapsed=19.0m | ETA~71.0m [I 2026-01-20 08:06:55,249] Trial 6 finished with value: 0.574873495488321 and parameters: {'n_estimators': 1039, 'max_depth': 8, 'min_samples_split': 9, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 2 with value: 0.7078717137897177. [TRIAL] #006 value=0.57487 | best=0.70787 | elapsed=21.8m | ETA~68.2m [I 2026-01-20 08:09:55,553] Trial 7 finished with value: 0.6054374318610507 and parameters: {'n_estimators': 1078, 'max_depth': 10, 'min_samples_split': 5, 'min_samples_leaf': 12, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 2 with value: 0.7078717137897177. [TRIAL] #007 value=0.60544 | best=0.70787 | elapsed=24.8m | ETA~65.2m [I 2026-01-20 08:13:54,131] Trial 8 finished with value: 0.6584637204777353 and parameters: {'n_estimators': 1472, 'max_depth': 14, 'min_samples_split': 2, 'min_samples_leaf': 10, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 2 with value: 0.7078717137897177. [TRIAL] #008 value=0.65846 | best=0.70787 | elapsed=28.8m | ETA~61.2m [I 2026-01-20 08:17:37,589] Trial 9 finished with value: 0.5929959517826643 and parameters: {'n_estimators': 1811, 'max_depth': 9, 'min_samples_split': 14, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 2 with value: 0.7078717137897177. [TRIAL] #009 value=0.59300 | best=0.70787 | elapsed=32.5m | ETA~57.5m [I 2026-01-20 08:20:24,699] Trial 10 finished with value: 0.7050482560686919 and parameters: {'n_estimators': 664, 'max_depth': 17, 'min_samples_split': 11, 'min_samples_leaf': 5, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 2 with value: 0.7078717137897177. [TRIAL] #010 value=0.70505 | best=0.70787 | elapsed=35.3m | ETA~54.7m [I 2026-01-20 08:23:07,143] Trial 11 finished with value: 0.7142723913988928 and parameters: {'n_estimators': 608, 'max_depth': 18, 'min_samples_split': 10, 'min_samples_leaf': 5, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 11 with value: 0.7142723913988928. [TRIAL] #011 value=0.71427 | best=0.71427 | elapsed=38.0m | ETA~52.0m [I 2026-01-20 08:25:41,724] Trial 12 finished with value: 0.6939935602286801 and parameters: {'n_estimators': 604, 'max_depth': 15, 'min_samples_split': 10, 'min_samples_leaf': 5, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 11 with value: 0.7142723913988928. [TRIAL] #012 value=0.69399 | best=0.71427 | elapsed=40.5m | ETA~49.5m [I 2026-01-20 08:28:44,614] Trial 13 finished with value: 0.6994690246300405 and parameters: {'n_estimators': 795, 'max_depth': 16, 'min_samples_split': 7, 'min_samples_leaf': 5, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 11 with value: 0.7142723913988928. [TRIAL] #013 value=0.69947 | best=0.71427 | elapsed=43.6m | ETA~46.4m [I 2026-01-20 08:31:37,477] Trial 14 finished with value: 0.6755596559154718 and parameters: {'n_estimators': 760, 'max_depth': 13, 'min_samples_split': 12, 'min_samples_leaf': 4, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 11 with value: 0.7142723913988928. [TRIAL] #014 value=0.67556 | best=0.71427 | elapsed=46.5m | ETA~43.5m [I 2026-01-20 08:35:40,273] Trial 15 finished with value: 0.7084015463948515 and parameters: {'n_estimators': 1329, 'max_depth': 18, 'min_samples_split': 14, 'min_samples_leaf': 6, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 11 with value: 0.7142723913988928. [TRIAL] #015 value=0.70840 | best=0.71427 | elapsed=50.5m | ETA~39.5m [I 2026-01-20 08:39:40,745] Trial 16 finished with value: 0.6927508602482222 and parameters: {'n_estimators': 1319, 'max_depth': 16, 'min_samples_split': 13, 'min_samples_leaf': 7, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 11 with value: 0.7142723913988928. [TRIAL] #016 value=0.69275 | best=0.71427 | elapsed=54.5m | ETA~35.5m [I 2026-01-20 08:43:18,211] Trial 17 finished with value: 0.6715798423380736 and parameters: {'n_estimators': 1257, 'max_depth': 13, 'min_samples_split': 8, 'min_samples_leaf': 6, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 11 with value: 0.7142723913988928. [TRIAL] #017 value=0.67158 | best=0.71427 | elapsed=58.1m | ETA~31.9m [I 2026-01-20 08:47:41,406] Trial 18 finished with value: 0.6925183639948044 and parameters: {'n_estimators': 1499, 'max_depth': 18, 'min_samples_split': 15, 'min_samples_leaf': 10, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 11 with value: 0.7142723913988928. [TRIAL] #018 value=0.69252 | best=0.71427 | elapsed=62.5m | ETA~27.5m [I 2026-01-20 08:51:33,645] Trial 19 finished with value: 0.7025971275135555 and parameters: {'n_estimators': 1243, 'max_depth': 16, 'min_samples_split': 7, 'min_samples_leaf': 4, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 11 with value: 0.7142723913988928. [TRIAL] #019 value=0.70260 | best=0.71427 | elapsed=66.4m | ETA~23.6m [I 2026-01-20 08:54:29,958] Trial 20 finished with value: 0.6572141358444373 and parameters: {'n_estimators': 889, 'max_depth': 12, 'min_samples_split': 11, 'min_samples_leaf': 6, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 11 with value: 0.7142723913988928. [TRIAL] #020 value=0.65721 | best=0.71427 | elapsed=69.3m | ETA~20.7m [I 2026-01-20 08:57:50,192] Trial 21 finished with value: 0.7105680588988659 and parameters: {'n_estimators': 860, 'max_depth': 18, 'min_samples_split': 17, 'min_samples_leaf': 4, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 11 with value: 0.7142723913988928. [TRIAL] #021 value=0.71057 | best=0.71427 | elapsed=72.7m | ETA~17.3m [I 2026-01-20 09:01:09,540] Trial 22 finished with value: 0.7041896633551529 and parameters: {'n_estimators': 899, 'max_depth': 17, 'min_samples_split': 17, 'min_samples_leaf': 3, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 11 with value: 0.7142723913988928. [TRIAL] #022 value=0.70419 | best=0.71427 | elapsed=76.0m | ETA~14.0m [I 2026-01-20 09:05:21,021] Trial 23 finished with value: 0.7041169961432768 and parameters: {'n_estimators': 1457, 'max_depth': 17, 'min_samples_split': 15, 'min_samples_leaf': 4, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 11 with value: 0.7142723913988928. [TRIAL] #023 value=0.70412 | best=0.71427 | elapsed=80.2m | ETA~9.8m [I 2026-01-20 09:08:14,639] Trial 24 finished with value: 0.6901880043579979 and parameters: {'n_estimators': 766, 'max_depth': 15, 'min_samples_split': 13, 'min_samples_leaf': 6, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 11 with value: 0.7142723913988928. [TRIAL] #024 value=0.69019 | best=0.71427 | elapsed=83.1m | ETA~6.9m [I 2026-01-20 09:11:29,283] Trial 25 finished with value: 0.7106117907340364 and parameters: {'n_estimators': 902, 'max_depth': 18, 'min_samples_split': 19, 'min_samples_leaf': 3, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 11 with value: 0.7142723913988928. [TRIAL] #025 value=0.71061 | best=0.71427 | elapsed=86.3m | ETA~3.7m [I 2026-01-20 09:14:36,957] Trial 26 finished with value: 0.6914798399083999 and parameters: {'n_estimators': 926, 'max_depth': 15, 'min_samples_split': 19, 'min_samples_leaf': 3, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 11 with value: 0.7142723913988928. [TRIAL] #026 value=0.69148 | best=0.71427 | elapsed=89.5m | ETA~0.5m [I 2026-01-20 09:17:34,845] Trial 27 finished with value: 0.7051840175522976 and parameters: {'n_estimators': 728, 'max_depth': 17, 'min_samples_split': 18, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 11 with value: 0.7142723913988928. [TRIAL] #027 value=0.70518 | best=0.71427 | elapsed=92.4m | ETA~0.0m [SAVE] model_ET_supervised_weighted_F1_64log_gc_tetra.joblib + metrics/params [DONE] ET | supervised | weighted | F1 in 95.3 min best=0.71427 [WRITE] metrics_summary.csv updated ------------------------------------------------------------------------ [RUN ] mode=supervised | weights=weighted | metric=PR_AUC | model=RF | timeout=5400s | trials=30 ------------------------------------------------------------------------ [I 2026-01-20 09:20:25,229] A new study created in memory with name: RF_supervised_weighted_PR_AUC_64log_gc_tetra [I 2026-01-20 09:30:04,779] Trial 0 finished with value: 0.6853247403974482 and parameters: {'n_estimators': 928, 'max_depth': 10, 'min_samples_split': 14, 'min_samples_leaf': 3, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 0 with value: 0.6853247403974482. [TRIAL] #000 value=0.68532 | best=0.68532 | elapsed=9.7m | ETA~80.3m [I 2026-01-20 09:36:49,636] Trial 1 finished with value: 0.6124565024313069 and parameters: {'n_estimators': 809, 'max_depth': 6, 'min_samples_split': 7, 'min_samples_leaf': 6, 'max_features': 'sqrt', 'class_weight': 'balanced_subsample'}. Best is trial 0 with value: 0.6853247403974482. [TRIAL] #001 value=0.61246 | best=0.68532 | elapsed=16.4m | ETA~73.6m [I 2026-01-20 09:44:27,398] Trial 2 finished with value: 0.697315241776298 and parameters: {'n_estimators': 637, 'max_depth': 11, 'min_samples_split': 6, 'min_samples_leaf': 8, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 2 with value: 0.697315241776298. [TRIAL] #002 value=0.69732 | best=0.69732 | elapsed=24.0m | ETA~66.0m [I 2026-01-20 09:51:21,670] Trial 3 finished with value: 0.7061276235088899 and parameters: {'n_estimators': 548, 'max_depth': 12, 'min_samples_split': 15, 'min_samples_leaf': 8, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 3 with value: 0.7061276235088899. [TRIAL] #003 value=0.70613 | best=0.70613 | elapsed=30.9m | ETA~59.1m [I 2026-01-20 10:05:00,670] Trial 4 finished with value: 0.7059763343348594 and parameters: {'n_estimators': 1306, 'max_depth': 10, 'min_samples_split': 14, 'min_samples_leaf': 7, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 3 with value: 0.7061276235088899. [TRIAL] #004 value=0.70598 | best=0.70613 | elapsed=44.6m | ETA~45.4m [I 2026-01-20 10:16:29,176] Trial 5 finished with value: 0.7122276351913206 and parameters: {'n_estimators': 977, 'max_depth': 13, 'min_samples_split': 10, 'min_samples_leaf': 3, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 5 with value: 0.7122276351913206. [TRIAL] #005 value=0.71223 | best=0.71223 | elapsed=56.1m | ETA~33.9m [I 2026-01-20 10:31:38,985] Trial 6 finished with value: 0.7323725486714675 and parameters: {'n_estimators': 1055, 'max_depth': 15, 'min_samples_split': 19, 'min_samples_leaf': 3, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 6 with value: 0.7323725486714675. [TRIAL] #006 value=0.73237 | best=0.73237 | elapsed=71.3m | ETA~18.7m [I 2026-01-20 10:42:56,039] Trial 7 finished with value: 0.6716730545711622 and parameters: {'n_estimators': 1239, 'max_depth': 8, 'min_samples_split': 9, 'min_samples_leaf': 12, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 6 with value: 0.7323725486714675. [TRIAL] #007 value=0.67167 | best=0.73237 | elapsed=82.5m | ETA~7.5m [I 2026-01-20 10:51:39,035] Trial 8 finished with value: 0.62217111331613 and parameters: {'n_estimators': 1193, 'max_depth': 6, 'min_samples_split': 10, 'min_samples_leaf': 10, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 6 with value: 0.7323725486714675. [TRIAL] #008 value=0.62217 | best=0.73237 | elapsed=91.2m | ETA~0.0m [SAVE] model_RF_supervised_weighted_PR_AUC_64log_gc_tetra.joblib + metrics/params [DONE] RF | supervised | weighted | PR_AUC in 109.9 min best=0.73237 [WRITE] metrics_summary.csv updated ------------------------------------------------------------------------ [RUN ] mode=supervised | weights=weighted | metric=PR_AUC | model=XGB | timeout=5400s | trials=30 ------------------------------------------------------------------------ [I 2026-01-20 11:10:18,443] A new study created in memory with name: XGB_supervised_weighted_PR_AUC_64log_gc_tetra [I 2026-01-20 11:12:46,169] Trial 0 finished with value: 0.6736445604568063 and parameters: {'n_estimators': 568, 'max_depth': 5, 'learning_rate': 0.004868618663141339, 'subsample': 0.8005357434366125, 'colsample_bytree': 0.6385034956850999, 'reg_alpha': 0.0007382164815752254, 'reg_lambda': 8.291127285888441, 'gamma': 1.3571357841762322, 'min_child_weight': 0.953924949732094, 'tree_method': 'hist'}. Best is trial 0 with value: 0.6736445604568063. [TRIAL] #000 value=0.67364 | best=0.67364 | elapsed=2.5m | ETA~71.5m [I 2026-01-20 11:24:47,706] Trial 1 finished with value: 0.7739642015387473 and parameters: {'n_estimators': 518, 'max_depth': 8, 'learning_rate': 0.027708226104833915, 'subsample': 0.8476730869945536, 'colsample_bytree': 0.6540559015719094, 'reg_alpha': 0.05397587462193758, 'reg_lambda': 4.865305797245083, 'gamma': 2.441941353225729, 'min_child_weight': 0.7146133567728917, 'tree_method': 'approx'}. Best is trial 1 with value: 0.7739642015387473. [TRIAL] #001 value=0.77396 | best=0.77396 | elapsed=14.5m | ETA~75.5m [I 2026-01-20 11:27:25,054] Trial 2 finished with value: 0.7527115596992973 and parameters: {'n_estimators': 1052, 'max_depth': 4, 'learning_rate': 0.04232615809416558, 'subsample': 0.816829652250509, 'colsample_bytree': 0.8867490803413353, 'reg_alpha': 6.5705444864441676, 'reg_lambda': 0.13756792238695617, 'gamma': 0.46761591171410266, 'min_child_weight': 0.13296887614099934, 'tree_method': 'hist'}. Best is trial 1 with value: 0.7739642015387473. [TRIAL] #002 value=0.75271 | best=0.77396 | elapsed=17.1m | ETA~72.9m [I 2026-01-20 11:29:27,995] Trial 3 finished with value: 0.6601882023787778 and parameters: {'n_estimators': 659, 'max_depth': 3, 'learning_rate': 0.014114648691840946, 'subsample': 0.6206951335063474, 'colsample_bytree': 0.823153900399019, 'reg_alpha': 1.526320787903947, 'reg_lambda': 0.0017199568921146353, 'gamma': 3.894161821440038, 'min_child_weight': 3.495225344336371, 'tree_method': 'hist'}. Best is trial 1 with value: 0.7739642015387473. [TRIAL] #003 value=0.66019 | best=0.77396 | elapsed=19.2m | ETA~70.8m [I 2026-01-20 12:01:07,931] Trial 4 finished with value: 0.75392323939249 and parameters: {'n_estimators': 1771, 'max_depth': 8, 'learning_rate': 0.01090470242798898, 'subsample': 0.7010054610671193, 'colsample_bytree': 0.5654614991602556, 'reg_alpha': 1.8052762441116217, 'reg_lambda': 2.8348829697549656, 'gamma': 4.719963444063374, 'min_child_weight': 1.2635628787064503, 'tree_method': 'approx'}. Best is trial 1 with value: 0.7739642015387473. [TRIAL] #004 value=0.75392 | best=0.77396 | elapsed=50.9m | ETA~39.1m [I 2026-01-20 12:23:07,935] Trial 5 finished with value: 0.5990803613661763 and parameters: {'n_estimators': 1393, 'max_depth': 3, 'learning_rate': 0.0023245925019290724, 'subsample': 0.768560962599792, 'colsample_bytree': 0.9903703081184806, 'reg_alpha': 3.746793093031714, 'reg_lambda': 5.577557610201467, 'gamma': 3.5152825612303316, 'min_child_weight': 1.5869354275320222, 'tree_method': 'approx'}. Best is trial 1 with value: 0.7739642015387473. [TRIAL] #005 value=0.59908 | best=0.77396 | elapsed=72.8m | ETA~17.2m [I 2026-01-20 12:35:03,733] Trial 6 finished with value: 0.7480080253383444 and parameters: {'n_estimators': 628, 'max_depth': 5, 'learning_rate': 0.02889260556258259, 'subsample': 0.8628013502807306, 'colsample_bytree': 0.9713814492963959, 'reg_alpha': 0.0018775174954771521, 'reg_lambda': 0.16542012648523827, 'gamma': 3.4763604914800004, 'min_child_weight': 2.8755632213375586, 'tree_method': 'approx'}. Best is trial 1 with value: 0.7739642015387473. [TRIAL] #006 value=0.74801 | best=0.77396 | elapsed=84.8m | ETA~5.2m [I 2026-01-20 12:37:24,386] Trial 7 finished with value: 0.6137757985124469 and parameters: {'n_estimators': 664, 'max_depth': 4, 'learning_rate': 0.0012340641005990733, 'subsample': 0.9054114200067147, 'colsample_bytree': 0.8444242108581553, 'reg_alpha': 0.025409268316987834, 'reg_lambda': 1.1304473063683265, 'gamma': 4.873202940185934, 'min_child_weight': 0.0046883793139846286, 'tree_method': 'hist'}. Best is trial 1 with value: 0.7739642015387473. [TRIAL] #007 value=0.61378 | best=0.77396 | elapsed=87.1m | ETA~2.9m [I 2026-01-20 12:40:09,079] Trial 8 finished with value: 0.6915007117478074 and parameters: {'n_estimators': 1403, 'max_depth': 3, 'learning_rate': 0.014938356554511801, 'subsample': 0.979267357840079, 'colsample_bytree': 0.6500154355373693, 'reg_alpha': 1.969364542069351, 'reg_lambda': 0.12967228133401243, 'gamma': 0.6217128792223287, 'min_child_weight': 5.801149855530622, 'tree_method': 'hist'}. Best is trial 1 with value: 0.7739642015387473. [TRIAL] #008 value=0.69150 | best=0.77396 | elapsed=89.8m | ETA~0.2m [I 2026-01-20 13:04:09,123] Trial 9 finished with value: 0.6483760909541739 and parameters: {'n_estimators': 1425, 'max_depth': 4, 'learning_rate': 0.0011866995690249784, 'subsample': 0.6659329668396502, 'colsample_bytree': 0.990712458407935, 'reg_alpha': 0.0008207851951615287, 'reg_lambda': 0.0016034056760074527, 'gamma': 3.9035039818003305, 'min_child_weight': 0.0014272916731903772, 'tree_method': 'approx'}. Best is trial 1 with value: 0.7739642015387473. [TRIAL] #009 value=0.64838 | best=0.77396 | elapsed=113.9m | ETA~0.0m [SAVE] model_XGB_supervised_weighted_PR_AUC_64log_gc_tetra.joblib + metrics/params [DONE] XGB | supervised | weighted | PR_AUC in 129.1 min best=0.77396 [WRITE] metrics_summary.csv updated ------------------------------------------------------------------------ [RUN ] mode=supervised | weights=weighted | metric=PR_AUC | model=ET | timeout=5400s | trials=30 ------------------------------------------------------------------------ [I 2026-01-20 13:19:25,224] A new study created in memory with name: ET_supervised_weighted_PR_AUC_64log_gc_tetra [I 2026-01-20 13:22:16,074] Trial 0 finished with value: 0.44108564012959844 and parameters: {'n_estimators': 1128, 'max_depth': 7, 'min_samples_split': 5, 'min_samples_leaf': 4, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 0 with value: 0.44108564012959844. [TRIAL] #000 value=0.44109 | best=0.44109 | elapsed=2.9m | ETA~82.8m [I 2026-01-20 13:26:24,574] Trial 1 finished with value: 0.5749917664355333 and parameters: {'n_estimators': 1980, 'max_depth': 11, 'min_samples_split': 10, 'min_samples_leaf': 4, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 1 with value: 0.5749917664355333. [TRIAL] #001 value=0.57499 | best=0.57499 | elapsed=7.0m | ETA~83.0m [I 2026-01-20 13:29:10,873] Trial 2 finished with value: 0.46507042137716326 and parameters: {'n_estimators': 1193, 'max_depth': 7, 'min_samples_split': 10, 'min_samples_leaf': 11, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 1 with value: 0.5749917664355333. [TRIAL] #002 value=0.46507 | best=0.57499 | elapsed=9.8m | ETA~80.2m [I 2026-01-20 13:32:26,653] Trial 3 finished with value: 0.6782830783587569 and parameters: {'n_estimators': 961, 'max_depth': 14, 'min_samples_split': 10, 'min_samples_leaf': 8, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 3 with value: 0.6782830783587569. [TRIAL] #003 value=0.67828 | best=0.67828 | elapsed=13.0m | ETA~77.0m [I 2026-01-20 13:35:12,804] Trial 4 finished with value: 0.546026768563997 and parameters: {'n_estimators': 1045, 'max_depth': 9, 'min_samples_split': 10, 'min_samples_leaf': 6, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 3 with value: 0.6782830783587569. [TRIAL] #004 value=0.54603 | best=0.67828 | elapsed=15.8m | ETA~74.2m [I 2026-01-20 13:37:26,924] Trial 5 finished with value: 0.4265777796914953 and parameters: {'n_estimators': 715, 'max_depth': 7, 'min_samples_split': 12, 'min_samples_leaf': 8, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 3 with value: 0.6782830783587569. [TRIAL] #005 value=0.42658 | best=0.67828 | elapsed=18.0m | ETA~72.0m [I 2026-01-20 13:39:55,878] Trial 6 finished with value: 0.4598822974450284 and parameters: {'n_estimators': 867, 'max_depth': 7, 'min_samples_split': 20, 'min_samples_leaf': 9, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 3 with value: 0.6782830783587569. [TRIAL] #006 value=0.45988 | best=0.67828 | elapsed=20.5m | ETA~67.4m [I 2026-01-20 13:42:28,669] Trial 7 finished with value: 0.4636975671754387 and parameters: {'n_estimators': 1033, 'max_depth': 7, 'min_samples_split': 3, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 3 with value: 0.6782830783587569. [TRIAL] #007 value=0.46370 | best=0.67828 | elapsed=23.1m | ETA~63.4m [I 2026-01-20 13:45:06,494] Trial 8 finished with value: 0.6998979612781846 and parameters: {'n_estimators': 606, 'max_depth': 15, 'min_samples_split': 18, 'min_samples_leaf': 4, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 8 with value: 0.6998979612781846. [TRIAL] #008 value=0.69990 | best=0.69990 | elapsed=25.7m | ETA~59.9m [I 2026-01-20 13:48:22,999] Trial 9 finished with value: 0.6593332109206469 and parameters: {'n_estimators': 1082, 'max_depth': 15, 'min_samples_split': 2, 'min_samples_leaf': 12, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 8 with value: 0.6998979612781846. [TRIAL] #009 value=0.65933 | best=0.69990 | elapsed=29.0m | ETA~57.9m [I 2026-01-20 13:52:33,904] Trial 10 finished with value: 0.7247345333129254 and parameters: {'n_estimators': 1507, 'max_depth': 18, 'min_samples_split': 20, 'min_samples_leaf': 5, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 10 with value: 0.7247345333129254. [TRIAL] #010 value=0.72473 | best=0.72473 | elapsed=33.1m | ETA~56.9m [I 2026-01-20 13:56:49,662] Trial 11 finished with value: 0.7247102622517781 and parameters: {'n_estimators': 1543, 'max_depth': 18, 'min_samples_split': 20, 'min_samples_leaf': 5, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 10 with value: 0.7247345333129254. [TRIAL] #011 value=0.72471 | best=0.72473 | elapsed=37.4m | ETA~52.6m [I 2026-01-20 14:01:16,311] Trial 12 finished with value: 0.7264817631932048 and parameters: {'n_estimators': 1541, 'max_depth': 18, 'min_samples_split': 16, 'min_samples_leaf': 6, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 12 with value: 0.7264817631932048. [TRIAL] #012 value=0.72648 | best=0.72648 | elapsed=41.9m | ETA~48.1m [I 2026-01-20 14:05:40,432] Trial 13 finished with value: 0.733124843786015 and parameters: {'n_estimators': 1481, 'max_depth': 18, 'min_samples_split': 16, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 13 with value: 0.733124843786015. [TRIAL] #013 value=0.73312 | best=0.73312 | elapsed=46.3m | ETA~43.7m [I 2026-01-20 14:09:59,213] Trial 14 finished with value: 0.7272387646478771 and parameters: {'n_estimators': 1477, 'max_depth': 17, 'min_samples_split': 15, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 13 with value: 0.733124843786015. [TRIAL] #014 value=0.72724 | best=0.73312 | elapsed=50.6m | ETA~39.4m [I 2026-01-20 14:14:38,185] Trial 15 finished with value: 0.7182348608135859 and parameters: {'n_estimators': 1786, 'max_depth': 16, 'min_samples_split': 14, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 13 with value: 0.733124843786015. [TRIAL] #015 value=0.71823 | best=0.73312 | elapsed=55.2m | ETA~34.8m [I 2026-01-20 14:18:22,209] Trial 16 finished with value: 0.6668429398312408 and parameters: {'n_estimators': 1403, 'max_depth': 13, 'min_samples_split': 15, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 13 with value: 0.733124843786015. [TRIAL] #016 value=0.66684 | best=0.73312 | elapsed=59.0m | ETA~31.0m [I 2026-01-20 14:22:56,816] Trial 17 finished with value: 0.7146242859244059 and parameters: {'n_estimators': 1777, 'max_depth': 16, 'min_samples_split': 17, 'min_samples_leaf': 3, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 13 with value: 0.733124843786015. [TRIAL] #017 value=0.71462 | best=0.73312 | elapsed=63.5m | ETA~26.5m [I 2026-01-20 14:26:17,871] Trial 18 finished with value: 0.6189176134296692 and parameters: {'n_estimators': 1279, 'max_depth': 11, 'min_samples_split': 13, 'min_samples_leaf': 3, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 13 with value: 0.733124843786015. [TRIAL] #018 value=0.61892 | best=0.73312 | elapsed=66.9m | ETA~23.1m [I 2026-01-20 14:31:00,569] Trial 19 finished with value: 0.7076766299896815 and parameters: {'n_estimators': 1720, 'max_depth': 17, 'min_samples_split': 8, 'min_samples_leaf': 10, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 13 with value: 0.733124843786015. [TRIAL] #019 value=0.70768 | best=0.73312 | elapsed=71.6m | ETA~18.4m [I 2026-01-20 14:34:35,856] Trial 20 finished with value: 0.6410107284372653 and parameters: {'n_estimators': 1356, 'max_depth': 12, 'min_samples_split': 18, 'min_samples_leaf': 3, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 13 with value: 0.733124843786015. [TRIAL] #020 value=0.64101 | best=0.73312 | elapsed=75.2m | ETA~14.8m [I 2026-01-20 14:39:12,969] Trial 21 finished with value: 0.7265619532058719 and parameters: {'n_estimators': 1635, 'max_depth': 18, 'min_samples_split': 16, 'min_samples_leaf': 6, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 13 with value: 0.733124843786015. [TRIAL] #021 value=0.72656 | best=0.73312 | elapsed=79.8m | ETA~10.2m [I 2026-01-20 14:43:44,421] Trial 22 finished with value: 0.717561507844436 and parameters: {'n_estimators': 1639, 'max_depth': 17, 'min_samples_split': 15, 'min_samples_leaf': 7, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 13 with value: 0.733124843786015. [TRIAL] #022 value=0.71756 | best=0.73312 | elapsed=84.3m | ETA~5.7m [I 2026-01-20 14:48:44,312] Trial 23 finished with value: 0.7206758010950856 and parameters: {'n_estimators': 1909, 'max_depth': 17, 'min_samples_split': 17, 'min_samples_leaf': 5, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 13 with value: 0.733124843786015. [TRIAL] #023 value=0.72068 | best=0.73312 | elapsed=89.3m | ETA~0.7m [I 2026-01-20 14:52:50,700] Trial 24 finished with value: 0.7195280435637679 and parameters: {'n_estimators': 1417, 'max_depth': 16, 'min_samples_split': 13, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 13 with value: 0.733124843786015. [TRIAL] #024 value=0.71953 | best=0.73312 | elapsed=93.4m | ETA~0.0m [SAVE] model_ET_supervised_weighted_PR_AUC_64log_gc_tetra.joblib + metrics/params [DONE] ET | supervised | weighted | PR_AUC in 98.6 min best=0.73312 [WRITE] metrics_summary.csv updated ------------------------------------------------------------------------ [RUN ] mode=supervised | weights=weighted | metric=FB | model=RF | timeout=5400s | trials=30 ------------------------------------------------------------------------ [I 2026-01-20 14:57:59,315] A new study created in memory with name: RF_supervised_weighted_FB_64log_gc_tetra [I 2026-01-20 15:12:23,992] Trial 0 finished with value: 0.6953959484346225 and parameters: {'n_estimators': 947, 'max_depth': 16, 'min_samples_split': 15, 'min_samples_leaf': 9, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 0 with value: 0.6953959484346225. [TRIAL] #000 value=0.69540 | best=0.69540 | elapsed=14.4m | ETA~75.6m [I 2026-01-20 15:19:23,599] Trial 1 finished with value: 0.7034497459764806 and parameters: {'n_estimators': 440, 'max_depth': 16, 'min_samples_split': 8, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': 'balanced_subsample'}. Best is trial 1 with value: 0.7034497459764806. [TRIAL] #001 value=0.70345 | best=0.70345 | elapsed=21.4m | ETA~68.6m [I 2026-01-20 15:33:41,368] Trial 2 finished with value: 0.6838577341489323 and parameters: {'n_estimators': 1238, 'max_depth': 12, 'min_samples_split': 8, 'min_samples_leaf': 8, 'max_features': 'sqrt', 'class_weight': 'balanced_subsample'}. Best is trial 1 with value: 0.7034497459764806. [TRIAL] #002 value=0.68386 | best=0.70345 | elapsed=35.7m | ETA~54.3m [I 2026-01-20 15:44:19,790] Trial 3 finished with value: 0.6753524444605515 and parameters: {'n_estimators': 1003, 'max_depth': 11, 'min_samples_split': 3, 'min_samples_leaf': 4, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 1 with value: 0.7034497459764806. [TRIAL] #003 value=0.67535 | best=0.70345 | elapsed=46.4m | ETA~43.6m [I 2026-01-20 15:50:58,614] Trial 4 finished with value: 0.6533647741701433 and parameters: {'n_estimators': 612, 'max_depth': 9, 'min_samples_split': 15, 'min_samples_leaf': 7, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 1 with value: 0.7034497459764806. [TRIAL] #004 value=0.65336 | best=0.70345 | elapsed=53.0m | ETA~37.0m [I 2026-01-20 15:58:13,430] Trial 5 finished with value: 0.6498718091628581 and parameters: {'n_estimators': 726, 'max_depth': 8, 'min_samples_split': 4, 'min_samples_leaf': 9, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 1 with value: 0.7034497459764806. [TRIAL] #005 value=0.64987 | best=0.70345 | elapsed=60.2m | ETA~29.8m [I 2026-01-20 16:02:39,118] Trial 6 finished with value: 0.6075169902001276 and parameters: {'n_estimators': 444, 'max_depth': 6, 'min_samples_split': 8, 'min_samples_leaf': 4, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 1 with value: 0.7034497459764806. [TRIAL] #006 value=0.60752 | best=0.70345 | elapsed=64.7m | ETA~25.3m [I 2026-01-20 16:18:18,877] Trial 7 finished with value: 0.6973848069738481 and parameters: {'n_estimators': 1267, 'max_depth': 14, 'min_samples_split': 20, 'min_samples_leaf': 9, 'max_features': 'sqrt', 'class_weight': 'balanced_subsample'}. Best is trial 1 with value: 0.7034497459764806. [TRIAL] #007 value=0.69738 | best=0.70345 | elapsed=80.4m | ETA~9.6m [I 2026-01-20 16:23:44,848] Trial 8 finished with value: 0.5956459277268207 and parameters: {'n_estimators': 636, 'max_depth': 6, 'min_samples_split': 16, 'min_samples_leaf': 3, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 1 with value: 0.7034497459764806. [TRIAL] #008 value=0.59565 | best=0.70345 | elapsed=85.8m | ETA~4.2m [I 2026-01-20 16:33:30,124] Trial 9 finished with value: 0.6390963745673165 and parameters: {'n_estimators': 1027, 'max_depth': 8, 'min_samples_split': 15, 'min_samples_leaf': 3, 'max_features': 'sqrt', 'class_weight': 'balanced_subsample'}. Best is trial 1 with value: 0.7034497459764806. [TRIAL] #009 value=0.63910 | best=0.70345 | elapsed=95.5m | ETA~0.0m [SAVE] model_RF_supervised_weighted_FB_64log_gc_tetra.joblib + metrics/params [DONE] RF | supervised | weighted | FB in 103.8 min best=0.70345 [WRITE] metrics_summary.csv updated ------------------------------------------------------------------------ [RUN ] mode=supervised | weights=weighted | metric=FB | model=XGB | timeout=5400s | trials=30 ------------------------------------------------------------------------ [I 2026-01-20 16:41:45,531] A new study created in memory with name: XGB_supervised_weighted_FB_64log_gc_tetra [I 2026-01-20 16:43:59,338] Trial 0 finished with value: 0.6935382800692985 and parameters: {'n_estimators': 883, 'max_depth': 3, 'learning_rate': 0.045735450521903455, 'subsample': 0.6418642104684384, 'colsample_bytree': 0.5068519104536702, 'reg_alpha': 0.0035458261171221754, 'reg_lambda': 0.07101037657983374, 'gamma': 1.6787849661200915, 'min_child_weight': 0.002136188445413432, 'tree_method': 'hist'}. Best is trial 0 with value: 0.6935382800692985. [TRIAL] #000 value=0.69354 | best=0.69354 | elapsed=2.2m | ETA~64.7m [I 2026-01-20 16:46:04,467] Trial 1 finished with value: 0.7039303536954067 and parameters: {'n_estimators': 982, 'max_depth': 5, 'learning_rate': 0.11204431532882331, 'subsample': 0.9395977649942358, 'colsample_bytree': 0.9058926424437177, 'reg_alpha': 0.09130026712760644, 'reg_lambda': 0.07155397789672902, 'gamma': 4.242779132558831, 'min_child_weight': 0.6933608293603919, 'tree_method': 'hist'}. Best is trial 1 with value: 0.7039303536954067. [TRIAL] #001 value=0.70393 | best=0.70393 | elapsed=4.3m | ETA~60.4m [I 2026-01-20 17:18:00,381] Trial 2 finished with value: 0.7424014112977324 and parameters: {'n_estimators': 1471, 'max_depth': 9, 'learning_rate': 0.01817550297106812, 'subsample': 0.8331036235087333, 'colsample_bytree': 0.7825711032663958, 'reg_alpha': 0.000111046852926253, 'reg_lambda': 0.03033770678628947, 'gamma': 1.2843807173528203, 'min_child_weight': 0.15356097004025823, 'tree_method': 'approx'}. Best is trial 2 with value: 0.7424014112977324. [TRIAL] #002 value=0.74240 | best=0.74240 | elapsed=36.3m | ETA~53.7m [I 2026-01-20 17:27:43,527] Trial 3 finished with value: 0.7278678877487219 and parameters: {'n_estimators': 512, 'max_depth': 5, 'learning_rate': 0.13804126807162675, 'subsample': 0.8106560909448252, 'colsample_bytree': 0.6170186989931274, 'reg_alpha': 2.8631403713342194, 'reg_lambda': 0.020812818434141796, 'gamma': 0.669264657049557, 'min_child_weight': 6.0216622952783405, 'tree_method': 'approx'}. Best is trial 2 with value: 0.7424014112977324. [TRIAL] #003 value=0.72787 | best=0.74240 | elapsed=46.0m | ETA~44.0m [I 2026-01-20 17:55:09,928] Trial 4 finished with value: 0.7226124370242342 and parameters: {'n_estimators': 1792, 'max_depth': 3, 'learning_rate': 0.0758625978252969, 'subsample': 0.6780761322026995, 'colsample_bytree': 0.5969150304043995, 'reg_alpha': 0.02112937962752641, 'reg_lambda': 0.7266946926224406, 'gamma': 0.5645294660041844, 'min_child_weight': 0.07645851426624599, 'tree_method': 'approx'}. Best is trial 2 with value: 0.7424014112977324. [TRIAL] #004 value=0.72261 | best=0.74240 | elapsed=73.4m | ETA~16.6m [I 2026-01-20 17:58:17,741] Trial 5 finished with value: 0.6861181587531714 and parameters: {'n_estimators': 1686, 'max_depth': 4, 'learning_rate': 0.006779793370887808, 'subsample': 0.7341376818182408, 'colsample_bytree': 0.9682245353205279, 'reg_alpha': 0.0001530666820173928, 'reg_lambda': 0.0029938299968464165, 'gamma': 2.1928598485574247, 'min_child_weight': 1.0451489202356656, 'tree_method': 'hist'}. Best is trial 2 with value: 0.7424014112977324. [TRIAL] #005 value=0.68612 | best=0.74240 | elapsed=76.5m | ETA~13.5m [I 2026-01-20 18:25:06,765] Trial 6 finished with value: 0.7277160060581433 and parameters: {'n_estimators': 1712, 'max_depth': 4, 'learning_rate': 0.13756807613407504, 'subsample': 0.9492222231142037, 'colsample_bytree': 0.8419602768016506, 'reg_alpha': 0.32775225868143615, 'reg_lambda': 0.011318657798688025, 'gamma': 0.9891626867981373, 'min_child_weight': 8.375035204920874, 'tree_method': 'approx'}. Best is trial 2 with value: 0.7424014112977324. [TRIAL] #006 value=0.72772 | best=0.74240 | elapsed=103.4m | ETA~0.0m [SAVE] model_XGB_supervised_weighted_FB_64log_gc_tetra.joblib + metrics/params [DONE] XGB | supervised | weighted | FB in 142.5 min best=0.74240 [WRITE] metrics_summary.csv updated ------------------------------------------------------------------------ [RUN ] mode=supervised | weights=weighted | metric=FB | model=ET | timeout=5400s | trials=30 ------------------------------------------------------------------------ [I 2026-01-20 19:04:17,684] A new study created in memory with name: ET_supervised_weighted_FB_64log_gc_tetra [I 2026-01-20 19:08:16,165] Trial 0 finished with value: 0.6237363884652218 and parameters: {'n_estimators': 1727, 'max_depth': 12, 'min_samples_split': 11, 'min_samples_leaf': 3, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 0 with value: 0.6237363884652218. [TRIAL] #000 value=0.62374 | best=0.62374 | elapsed=4.0m | ETA~86.0m [I 2026-01-20 19:11:37,346] Trial 1 finished with value: 0.6805041835745322 and parameters: {'n_estimators': 1052, 'max_depth': 17, 'min_samples_split': 5, 'min_samples_leaf': 8, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 1 with value: 0.6805041835745322. [TRIAL] #001 value=0.68050 | best=0.68050 | elapsed=7.3m | ETA~82.7m [I 2026-01-20 19:15:46,853] Trial 2 finished with value: 0.6810405092166746 and parameters: {'n_estimators': 1551, 'max_depth': 16, 'min_samples_split': 8, 'min_samples_leaf': 7, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 2 with value: 0.6810405092166746. [TRIAL] #002 value=0.68104 | best=0.68104 | elapsed=11.5m | ETA~78.5m [I 2026-01-20 19:18:48,774] Trial 3 finished with value: 0.5200344195443152 and parameters: {'n_estimators': 1760, 'max_depth': 7, 'min_samples_split': 16, 'min_samples_leaf': 8, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 2 with value: 0.6810405092166746. [TRIAL] #003 value=0.52003 | best=0.68104 | elapsed=14.5m | ETA~75.5m [I 2026-01-20 19:21:09,109] Trial 4 finished with value: 0.46715097004814204 and parameters: {'n_estimators': 1068, 'max_depth': 6, 'min_samples_split': 2, 'min_samples_leaf': 9, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 2 with value: 0.6810405092166746. [TRIAL] #004 value=0.46715 | best=0.68104 | elapsed=16.9m | ETA~73.1m [I 2026-01-20 19:25:09,286] Trial 5 finished with value: 0.6594491788888482 and parameters: {'n_estimators': 1676, 'max_depth': 13, 'min_samples_split': 16, 'min_samples_leaf': 8, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 2 with value: 0.6810405092166746. [TRIAL] #005 value=0.65945 | best=0.68104 | elapsed=20.9m | ETA~69.1m [I 2026-01-20 19:28:04,124] Trial 6 finished with value: 0.6251357023955996 and parameters: {'n_estimators': 978, 'max_depth': 12, 'min_samples_split': 15, 'min_samples_leaf': 6, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 2 with value: 0.6810405092166746. [TRIAL] #006 value=0.62514 | best=0.68104 | elapsed=23.8m | ETA~66.2m [I 2026-01-20 19:31:08,852] Trial 7 finished with value: 0.5733273259743186 and parameters: {'n_estimators': 1432, 'max_depth': 9, 'min_samples_split': 11, 'min_samples_leaf': 3, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 2 with value: 0.6810405092166746. [TRIAL] #007 value=0.57333 | best=0.68104 | elapsed=26.9m | ETA~63.1m [I 2026-01-20 19:34:49,708] Trial 8 finished with value: 0.6623422783010485 and parameters: {'n_estimators': 1263, 'max_depth': 15, 'min_samples_split': 6, 'min_samples_leaf': 7, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 2 with value: 0.6810405092166746. [TRIAL] #008 value=0.66234 | best=0.68104 | elapsed=30.5m | ETA~59.5m [I 2026-01-20 19:38:20,241] Trial 9 finished with value: 0.5947540747670277 and parameters: {'n_estimators': 1693, 'max_depth': 10, 'min_samples_split': 19, 'min_samples_leaf': 5, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 2 with value: 0.6810405092166746. [TRIAL] #009 value=0.59475 | best=0.68104 | elapsed=34.0m | ETA~56.0m [I 2026-01-20 19:43:18,729] Trial 10 finished with value: 0.6761494357813241 and parameters: {'n_estimators': 1967, 'max_depth': 18, 'min_samples_split': 7, 'min_samples_leaf': 12, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 2 with value: 0.6810405092166746. [TRIAL] #010 value=0.67615 | best=0.68104 | elapsed=39.0m | ETA~51.0m [I 2026-01-20 19:45:55,713] Trial 11 finished with value: 0.6810546304411335 and parameters: {'n_estimators': 603, 'max_depth': 18, 'min_samples_split': 5, 'min_samples_leaf': 10, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 11 with value: 0.6810546304411335. [TRIAL] #011 value=0.68105 | best=0.68105 | elapsed=41.6m | ETA~48.4m [I 2026-01-20 19:48:39,911] Trial 12 finished with value: 0.66930729550479 and parameters: {'n_estimators': 638, 'max_depth': 15, 'min_samples_split': 9, 'min_samples_leaf': 11, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 11 with value: 0.6810546304411335. [TRIAL] #012 value=0.66931 | best=0.68105 | elapsed=44.4m | ETA~45.6m [I 2026-01-20 19:51:30,667] Trial 13 finished with value: 0.6745051785780104 and parameters: {'n_estimators': 641, 'max_depth': 16, 'min_samples_split': 2, 'min_samples_leaf': 10, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 11 with value: 0.6810546304411335. [TRIAL] #013 value=0.67451 | best=0.68105 | elapsed=47.2m | ETA~42.8m [I 2026-01-20 19:55:48,185] Trial 14 finished with value: 0.6976194802834818 and parameters: {'n_estimators': 1433, 'max_depth': 18, 'min_samples_split': 8, 'min_samples_leaf': 5, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 14 with value: 0.6976194802834818. [TRIAL] #014 value=0.69762 | best=0.69762 | elapsed=51.5m | ETA~38.5m [I 2026-01-20 19:59:10,784] Trial 15 finished with value: 0.6981294654076761 and parameters: {'n_estimators': 844, 'max_depth': 18, 'min_samples_split': 4, 'min_samples_leaf': 5, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 15 with value: 0.6981294654076761. [TRIAL] #015 value=0.69813 | best=0.69813 | elapsed=54.9m | ETA~35.1m [I 2026-01-20 20:02:06,346] Trial 16 finished with value: 0.6759640584050918 and parameters: {'n_estimators': 883, 'max_depth': 14, 'min_samples_split': 11, 'min_samples_leaf': 4, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 15 with value: 0.6981294654076761. [TRIAL] #016 value=0.67596 | best=0.69813 | elapsed=57.8m | ETA~32.2m [I 2026-01-20 20:05:48,224] Trial 17 finished with value: 0.7068965517241379 and parameters: {'n_estimators': 1204, 'max_depth': 17, 'min_samples_split': 4, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 17 with value: 0.7068965517241379. [TRIAL] #017 value=0.70690 | best=0.70690 | elapsed=61.5m | ETA~28.5m [I 2026-01-20 20:09:03,331] Trial 18 finished with value: 0.7012361886008095 and parameters: {'n_estimators': 833, 'max_depth': 16, 'min_samples_split': 3, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 17 with value: 0.7068965517241379. [TRIAL] #018 value=0.70124 | best=0.70690 | elapsed=64.8m | ETA~25.2m [I 2026-01-20 20:12:28,112] Trial 19 finished with value: 0.6865356865356865 and parameters: {'n_estimators': 1206, 'max_depth': 14, 'min_samples_split': 3, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 17 with value: 0.7068965517241379. [TRIAL] #019 value=0.68654 | best=0.70690 | elapsed=68.2m | ETA~21.8m [I 2026-01-20 20:15:34,311] Trial 20 finished with value: 0.7014565764976454 and parameters: {'n_estimators': 795, 'max_depth': 16, 'min_samples_split': 4, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 17 with value: 0.7068965517241379. [TRIAL] #020 value=0.70146 | best=0.70690 | elapsed=71.3m | ETA~18.7m [I 2026-01-20 20:18:40,164] Trial 21 finished with value: 0.7012640654683618 and parameters: {'n_estimators': 788, 'max_depth': 16, 'min_samples_split': 4, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 17 with value: 0.7068965517241379. [TRIAL] #021 value=0.70126 | best=0.70690 | elapsed=74.4m | ETA~15.6m [I 2026-01-20 20:21:40,543] Trial 22 finished with value: 0.6958094333418582 and parameters: {'n_estimators': 767, 'max_depth': 16, 'min_samples_split': 6, 'min_samples_leaf': 3, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 17 with value: 0.7068965517241379. [TRIAL] #022 value=0.69581 | best=0.70690 | elapsed=77.4m | ETA~12.6m [I 2026-01-20 20:25:28,927] Trial 23 finished with value: 0.7064130078934924 and parameters: {'n_estimators': 1153, 'max_depth': 17, 'min_samples_split': 4, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 17 with value: 0.7068965517241379. [TRIAL] #023 value=0.70641 | best=0.70690 | elapsed=81.2m | ETA~8.8m [I 2026-01-20 20:29:16,366] Trial 24 finished with value: 0.6983019139444524 and parameters: {'n_estimators': 1146, 'max_depth': 17, 'min_samples_split': 9, 'min_samples_leaf': 4, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 17 with value: 0.7068965517241379. [TRIAL] #024 value=0.69830 | best=0.70690 | elapsed=85.0m | ETA~5.0m [I 2026-01-20 20:33:11,656] Trial 25 finished with value: 0.6753084606345476 and parameters: {'n_estimators': 1369, 'max_depth': 14, 'min_samples_split': 13, 'min_samples_leaf': 4, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 17 with value: 0.7068965517241379. [TRIAL] #025 value=0.67531 | best=0.70690 | elapsed=88.9m | ETA~1.1m [I 2026-01-20 20:36:29,146] Trial 26 finished with value: 0.7041484716157205 and parameters: {'n_estimators': 955, 'max_depth': 17, 'min_samples_split': 6, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 17 with value: 0.7068965517241379. [TRIAL] #026 value=0.70415 | best=0.70690 | elapsed=92.2m | ETA~0.0m [SAVE] model_ET_supervised_weighted_FB_64log_gc_tetra.joblib + metrics/params [DONE] ET | supervised | weighted | FB in 96.7 min best=0.70690 [WRITE] metrics_summary.csv updated ------------------------------------------------------------------------ [RUN ] mode=pu | weights=normal | metric=F1 | model=RF | timeout=5400s | trials=30 ------------------------------------------------------------------------ [I 2026-01-20 20:40:59,369] A new study created in memory with name: RF_pu_normal_F1_64log_gc_tetra [I 2026-01-20 21:01:09,945] Trial 0 finished with value: 0.6755875784852838 and parameters: {'n_estimators': 1107, 'max_depth': 13, 'min_samples_split': 18, 'min_samples_leaf': 12, 'max_features': 'sqrt', 'class_weight': 'balanced_subsample'}. Best is trial 0 with value: 0.6755875784852838. [TRIAL] #000 value=0.67559 | best=0.67559 | elapsed=20.2m | ETA~69.8m [I 2026-01-20 21:17:02,378] Trial 1 finished with value: 0.6816825700698654 and parameters: {'n_estimators': 864, 'max_depth': 15, 'min_samples_split': 2, 'min_samples_leaf': 9, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 1 with value: 0.6816825700698654. [TRIAL] #001 value=0.68168 | best=0.68168 | elapsed=36.1m | ETA~53.9m [I 2026-01-20 21:29:49,615] Trial 2 finished with value: 0.6203179838584958 and parameters: {'n_estimators': 780, 'max_depth': 6, 'min_samples_split': 18, 'min_samples_leaf': 10, 'max_features': 'sqrt', 'class_weight': 'balanced_subsample'}. Best is trial 1 with value: 0.6816825700698654. [TRIAL] #002 value=0.62032 | best=0.68168 | elapsed=48.8m | ETA~41.2m [I 2026-01-20 21:48:59,660] Trial 3 finished with value: 0.6687266732151356 and parameters: {'n_estimators': 1284, 'max_depth': 10, 'min_samples_split': 9, 'min_samples_leaf': 9, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 1 with value: 0.6816825700698654. [TRIAL] #003 value=0.66873 | best=0.68168 | elapsed=68.0m | ETA~22.0m [I 2026-01-20 22:03:38,559] Trial 4 finished with value: 0.6683968454872448 and parameters: {'n_estimators': 960, 'max_depth': 9, 'min_samples_split': 16, 'min_samples_leaf': 7, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 1 with value: 0.6816825700698654. [TRIAL] #004 value=0.66840 | best=0.68168 | elapsed=82.7m | ETA~7.3m [I 2026-01-20 22:21:00,679] Trial 5 finished with value: 0.6861960494707207 and parameters: {'n_estimators': 836, 'max_depth': 15, 'min_samples_split': 17, 'min_samples_leaf': 4, 'max_features': 'sqrt', 'class_weight': 'balanced_subsample'}. Best is trial 5 with value: 0.6861960494707207. [TRIAL] #005 value=0.68620 | best=0.68620 | elapsed=100.0m | ETA~0.0m Traceback (most recent call last): File "/TomaszLab/tRNA/Modele_final/Mass_models.py", line 931, in main() File "/TomaszLab/tRNA/Modele_final/Mass_models.py", line 896, in main model, best_params, met_dict, study = fit_best_model( ^^^^^^^^^^^^^^^ File "/TomaszLab/tRNA/Modele_final/Mass_models.py", line 699, in fit_best_model calib.fit(X, y) File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/sklearn/base.py", line 1365, in wrapper return fit_method(estimator, *args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/sklearn/calibration.py", line 424, in fit self.calibrated_classifiers_ = parallel( ^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/sklearn/utils/parallel.py", line 82, in __call__ return super().__call__(iterable_with_config_and_warning_filters) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/joblib/parallel.py", line 1986, in __call__ return output if self.return_generator else list(output) ^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/joblib/parallel.py", line 1914, in _get_sequential_output res = func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/sklearn/utils/parallel.py", line 147, in __call__ return self.function(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/sklearn/calibration.py", line 628, in _fit_classifier_calibrator_pair predictions, _ = _get_response_values( ^^^^^^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/sklearn/utils/_response.py", line 235, in _get_response_values raise ValueError( ValueError: PUBaggingClassifier should either be a classifier to be used with response_method=['decision_function', 'predict_proba'] or the response_method should be 'predict'. Got a regressor with response_method=['decision_function', 'predict_proba'] instead. [?2004h(models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$  (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 Mass_models.py --ndjson split_dataset/subset01/ --supp2 Supp2.xlsx --supp1 Supp1.csv --outdir . --train_mode both --weight_mode both --model all --metric all --n_trials 30 --timeout 5400 [?2004l [CPU ] total=32 using=28 (flag=0) [LOAD] train: split_dataset/subset01/train.jsonl (lines≈198216) [LOAD] test: split_dataset/subset01/test.jsonl (lines≈49555) [LOAD] Supp1 mapping for weights: Supp1.csv [WRITE] weights_snapshot_train.tsv / weights_snapshot_test.tsv [WEIGHTS] Supp2(P) weights: n=5290 mean=0.961 sd=0.056 min=0.750 max=1.000 ======================================================================== [DATA] train=(198216, 322) P(from Supp2)=5290 (2.669%) [DATA] test=(49555, 322) P(from Supp2)=1384 (2.793%) ======================================================================== [INFO] Found existing metrics: 18 runs. metrics_summary.csv refreshed. [SKIP] already exists: RF_supervised_normal_F1_64log_gc_tetra [SKIP] already exists: XGB_supervised_normal_F1_64log_gc_tetra [SKIP] already exists: ET_supervised_normal_F1_64log_gc_tetra [SKIP] already exists: RF_supervised_normal_PR_AUC_64log_gc_tetra [SKIP] already exists: XGB_supervised_normal_PR_AUC_64log_gc_tetra [SKIP] already exists: ET_supervised_normal_PR_AUC_64log_gc_tetra [SKIP] already exists: RF_supervised_normal_FB_64log_gc_tetra [SKIP] already exists: XGB_supervised_normal_FB_64log_gc_tetra [SKIP] already exists: ET_supervised_normal_FB_64log_gc_tetra [SKIP] already exists: RF_supervised_weighted_F1_64log_gc_tetra [SKIP] already exists: XGB_supervised_weighted_F1_64log_gc_tetra [SKIP] already exists: ET_supervised_weighted_F1_64log_gc_tetra [SKIP] already exists: RF_supervised_weighted_PR_AUC_64log_gc_tetra [SKIP] already exists: XGB_supervised_weighted_PR_AUC_64log_gc_tetra [SKIP] already exists: ET_supervised_weighted_PR_AUC_64log_gc_tetra [SKIP] already exists: RF_supervised_weighted_FB_64log_gc_tetra [SKIP] already exists: XGB_supervised_weighted_FB_64log_gc_tetra [SKIP] already exists: ET_supervised_weighted_FB_64log_gc_tetra [INFO] Auto-disabling calibration for PU run RF_pu_normal_F1_64log_gc_tetra (use --force_calibration_pu to override). ------------------------------------------------------------------------ [RUN ] mode=pu | weights=normal | metric=F1 | model=RF | timeout=5400s | trials=30 [RUN ] run_id=RF_pu_normal_F1_64log_gc_tetra | calibrate=False ------------------------------------------------------------------------ [I 2026-01-21 04:43:51,569] A new study created in memory with name: RF_pu_normal_F1_64log_gc_tetra [I 2026-01-21 05:00:21,695] Trial 0 finished with value: 0.6815828795317184 and parameters: {'n_estimators': 899, 'max_depth': 15, 'min_samples_split': 11, 'min_samples_leaf': 9, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 0 with value: 0.6815828795317184. [TRIAL] #000 value=0.68158 | best=0.68158 | elapsed=16.5m | ETA~73.5m [I 2026-01-21 05:24:16,982] Trial 1 finished with value: 0.6762171909848755 and parameters: {'n_estimators': 1389, 'max_depth': 12, 'min_samples_split': 3, 'min_samples_leaf': 10, 'max_features': 'sqrt', 'class_weight': 'balanced_subsample'}. Best is trial 0 with value: 0.6815828795317184. [TRIAL] #001 value=0.67622 | best=0.68158 | elapsed=40.4m | ETA~49.6m [I 2026-01-21 05:40:42,220] Trial 2 finished with value: 0.6906947672496695 and parameters: {'n_estimators': 858, 'max_depth': 15, 'min_samples_split': 10, 'min_samples_leaf': 4, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 2 with value: 0.6906947672496695. [TRIAL] #002 value=0.69069 | best=0.69069 | elapsed=56.8m | ETA~33.2m [I 2026-01-21 05:52:28,707] Trial 3 finished with value: 0.6583282804006851 and parameters: {'n_estimators': 808, 'max_depth': 8, 'min_samples_split': 5, 'min_samples_leaf': 8, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 2 with value: 0.6906947672496695. [TRIAL] #003 value=0.65833 | best=0.69069 | elapsed=68.6m | ETA~21.4m [I 2026-01-21 06:10:54,368] Trial 4 finished with value: 0.676636000862071 and parameters: {'n_estimators': 993, 'max_depth': 13, 'min_samples_split': 7, 'min_samples_leaf': 11, 'max_features': 'sqrt', 'class_weight': 'balanced_subsample'}. Best is trial 2 with value: 0.6906947672496695. [TRIAL] #004 value=0.67664 | best=0.69069 | elapsed=87.1m | ETA~2.9m [I 2026-01-21 06:25:10,810] Trial 5 finished with value: 0.6774491588954034 and parameters: {'n_estimators': 770, 'max_depth': 16, 'min_samples_split': 14, 'min_samples_leaf': 12, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 2 with value: 0.6906947672496695. [TRIAL] #005 value=0.67745 | best=0.69069 | elapsed=101.3m | ETA~0.0m a [DONE] RF | pu | normal | F1 in 106.2 min best=0.69069 [WRITE] metrics_summary.csv updated [INFO] Auto-disabling calibration for PU run XGB_pu_normal_F1_64log_gc_tetra (use --force_calibration_pu to override). ------------------------------------------------------------------------ [RUN ] mode=pu | weights=normal | metric=F1 | model=XGB | timeout=5400s | trials=30 [RUN ] run_id=XGB_pu_normal_F1_64log_gc_tetra | calibrate=False ------------------------------------------------------------------------ [I 2026-01-21 06:30:19,390] A new study created in memory with name: XGB_pu_normal_F1_64log_gc_tetra [I 2026-01-21 07:17:20,263] Trial 0 finished with value: 0.6844139059549459 and parameters: {'n_estimators': 630, 'max_depth': 6, 'learning_rate': 0.0080416006768181, 'subsample': 0.8199440193350892, 'colsample_bytree': 0.5120474605326975, 'reg_alpha': 0.030492728063885366, 'reg_lambda': 1.3294798215799724, 'gamma': 2.9084710583988436, 'min_child_weight': 0.0023580326566458366, 'tree_method': 'approx'}. Best is trial 0 with value: 0.6844139059549459. [TRIAL] #000 value=0.68441 | best=0.68441 | elapsed=47.0m | ETA~43.0m [I 2026-01-21 07:22:07,208] Trial 1 finished with value: 0.7025762298030804 and parameters: {'n_estimators': 733, 'max_depth': 5, 'learning_rate': 0.11497513060875383, 'subsample': 0.826396113600354, 'colsample_bytree': 0.9376373950199766, 'reg_alpha': 0.0008854821941145377, 'reg_lambda': 0.9404684992166944, 'gamma': 4.106093006360642, 'min_child_weight': 0.01294482527149098, 'tree_method': 'hist'}. Best is trial 1 with value: 0.7025762298030804. [TRIAL] #001 value=0.70258 | best=0.70258 | elapsed=51.8m | ETA~38.2m [I 2026-01-21 07:33:08,708] Trial 2 finished with value: 0.7123985127230246 and parameters: {'n_estimators': 573, 'max_depth': 7, 'learning_rate': 0.018665987204356686, 'subsample': 0.6602284341725998, 'colsample_bytree': 0.6224285996196454, 'reg_alpha': 0.0002962200506494926, 'reg_lambda': 2.6893180992576475, 'gamma': 1.2769346140134834, 'min_child_weight': 0.14146821761021344, 'tree_method': 'hist'}. Best is trial 2 with value: 0.7123985127230246. [TRIAL] #002 value=0.71240 | best=0.71240 | elapsed=62.8m | ETA~27.2m [I 2026-01-21 07:39:49,519] Trial 3 finished with value: 0.6471418762153646 and parameters: {'n_estimators': 490, 'max_depth': 5, 'learning_rate': 0.002521001914431076, 'subsample': 0.642814930831951, 'colsample_bytree': 0.8353752459621018, 'reg_alpha': 0.0009594016692053769, 'reg_lambda': 0.33752166637351994, 'gamma': 3.034952171718381, 'min_child_weight': 0.07899932782158732, 'tree_method': 'hist'}. Best is trial 2 with value: 0.7123985127230246. [TRIAL] #003 value=0.64714 | best=0.71240 | elapsed=69.5m | ETA~20.5m [I 2026-01-21 07:46:43,495] Trial 4 finished with value: 0.6321537429263204 and parameters: {'n_estimators': 766, 'max_depth': 4, 'learning_rate': 0.0026743333789792396, 'subsample': 0.6632257406220666, 'colsample_bytree': 0.7057616031621261, 'reg_alpha': 0.026963281546540097, 'reg_lambda': 0.0023672885154215157, 'gamma': 1.9612408873932252, 'min_child_weight': 0.40095038134602323, 'tree_method': 'hist'}. Best is trial 2 with value: 0.7123985127230246. [TRIAL] #004 value=0.63215 | best=0.71240 | elapsed=76.4m | ETA~13.6m [I 2026-01-21 07:56:19,638] Trial 5 finished with value: 0.6260625428385497 and parameters: {'n_estimators': 1180, 'max_depth': 4, 'learning_rate': 0.0011577091994744455, 'subsample': 0.7122930297070268, 'colsample_bytree': 0.9119761253233972, 'reg_alpha': 0.37321096096642353, 'reg_lambda': 1.105995191431068, 'gamma': 1.217591067084306, 'min_child_weight': 0.0060419481074304145, 'tree_method': 'hist'}. Best is trial 2 with value: 0.7123985127230246. [TRIAL] #005 value=0.62606 | best=0.71240 | elapsed=86.0m | ETA~4.0m [I 2026-01-21 08:17:01,464] Trial 6 finished with value: 0.7103258489573966 and parameters: {'n_estimators': 1253, 'max_depth': 9, 'learning_rate': 0.007639973352122818, 'subsample': 0.7368918234019528, 'colsample_bytree': 0.7242609280966377, 'reg_alpha': 0.03746755903420668, 'reg_lambda': 0.044439808460644444, 'gamma': 3.0089160771482537, 'min_child_weight': 0.0022376602877712676, 'tree_method': 'hist'}. Best is trial 2 with value: 0.7123985127230246. [TRIAL] #006 value=0.71033 | best=0.71240 | elapsed=106.7m | ETA~0.0m [DONE] XGB | pu | normal | F1 in 109.6 min best=0.71240 [WRITE] metrics_summary.csv updated [INFO] Auto-disabling calibration for PU run ET_pu_normal_F1_64log_gc_tetra (use --force_calibration_pu to override). ------------------------------------------------------------------------ [RUN ] mode=pu | weights=normal | metric=F1 | model=ET | timeout=5400s | trials=30 [RUN ] run_id=ET_pu_normal_F1_64log_gc_tetra | calibrate=False ------------------------------------------------------------------------ [I 2026-01-21 08:19:55,278] A new study created in memory with name: ET_pu_normal_F1_64log_gc_tetra [I 2026-01-21 08:30:28,349] Trial 0 finished with value: 0.6381048890310224 and parameters: {'n_estimators': 1122, 'max_depth': 13, 'min_samples_split': 6, 'min_samples_leaf': 9, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 0 with value: 0.6381048890310224. [TRIAL] #000 value=0.63810 | best=0.63810 | elapsed=10.6m | ETA~79.4m [I 2026-01-21 08:43:56,991] Trial 1 finished with value: 0.5122441177775098 and parameters: {'n_estimators': 1343, 'max_depth': 7, 'min_samples_split': 19, 'min_samples_leaf': 6, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 0 with value: 0.6381048890310224. [TRIAL] #001 value=0.51224 | best=0.63810 | elapsed=24.0m | ETA~66.0m [I 2026-01-21 08:52:35,447] Trial 2 finished with value: 0.6554601704507276 and parameters: {'n_estimators': 833, 'max_depth': 13, 'min_samples_split': 6, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 2 with value: 0.6554601704507276. [TRIAL] #002 value=0.65546 | best=0.65546 | elapsed=32.7m | ETA~57.3m [I 2026-01-21 09:11:07,860] Trial 3 finished with value: 0.514004513610359 and parameters: {'n_estimators': 1987, 'max_depth': 7, 'min_samples_split': 17, 'min_samples_leaf': 3, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 2 with value: 0.6554601704507276. [TRIAL] #003 value=0.51400 | best=0.65546 | elapsed=51.2m | ETA~38.8m [I 2026-01-21 09:19:49,706] Trial 4 finished with value: 0.5907599033629501 and parameters: {'n_estimators': 714, 'max_depth': 8, 'min_samples_split': 14, 'min_samples_leaf': 10, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 2 with value: 0.6554601704507276. [TRIAL] #004 value=0.59076 | best=0.65546 | elapsed=59.9m | ETA~30.1m [I 2026-01-21 09:27:55,898] Trial 5 finished with value: 0.6464227263218267 and parameters: {'n_estimators': 810, 'max_depth': 14, 'min_samples_split': 5, 'min_samples_leaf': 10, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 2 with value: 0.6554601704507276. [TRIAL] #005 value=0.64642 | best=0.65546 | elapsed=68.0m | ETA~22.0m [I 2026-01-21 09:36:17,719] Trial 6 finished with value: 0.6047669087304375 and parameters: {'n_estimators': 778, 'max_depth': 9, 'min_samples_split': 11, 'min_samples_leaf': 4, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 2 with value: 0.6554601704507276. [TRIAL] #006 value=0.60477 | best=0.65546 | elapsed=76.4m | ETA~13.6m [I 2026-01-21 09:48:19,113] Trial 7 finished with value: 0.564992403704243 and parameters: {'n_estimators': 1069, 'max_depth': 7, 'min_samples_split': 15, 'min_samples_leaf': 6, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 2 with value: 0.6554601704507276. [TRIAL] #007 value=0.56499 | best=0.65546 | elapsed=88.4m | ETA~1.6m [I 2026-01-21 10:00:41,999] Trial 8 finished with value: 0.6513763081150293 and parameters: {'n_estimators': 1457, 'max_depth': 16, 'min_samples_split': 16, 'min_samples_leaf': 8, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 2 with value: 0.6554601704507276. [TRIAL] #008 value=0.65138 | best=0.65546 | elapsed=100.8m | ETA~0.0m [DONE] ET | pu | normal | F1 in 103.2 min best=0.65546 [WRITE] metrics_summary.csv updated [INFO] Auto-disabling calibration for PU run RF_pu_normal_PR_AUC_64log_gc_tetra (use --force_calibration_pu to override). ------------------------------------------------------------------------ [RUN ] mode=pu | weights=normal | metric=PR_AUC | model=RF | timeout=5400s | trials=30 [RUN ] run_id=RF_pu_normal_PR_AUC_64log_gc_tetra | calibrate=False ------------------------------------------------------------------------ [I 2026-01-21 10:03:17,355] A new study created in memory with name: RF_pu_normal_PR_AUC_64log_gc_tetra [I 2026-01-21 10:13:52,052] Trial 0 finished with value: 0.6953452328434041 and parameters: {'n_estimators': 462, 'max_depth': 13, 'min_samples_split': 11, 'min_samples_leaf': 8, 'max_features': 'sqrt', 'class_weight': 'balanced_subsample'}. Best is trial 0 with value: 0.6953452328434041. [TRIAL] #000 value=0.69535 | best=0.69535 | elapsed=10.6m | ETA~79.4m [I 2026-01-21 10:36:49,835] Trial 1 finished with value: 0.6971432630806063 and parameters: {'n_estimators': 1313, 'max_depth': 16, 'min_samples_split': 20, 'min_samples_leaf': 9, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 1 with value: 0.6971432630806063. [TRIAL] #001 value=0.69714 | best=0.69714 | elapsed=33.5m | ETA~56.5m [I 2026-01-21 10:53:00,567] Trial 2 finished with value: 0.6906813043434016 and parameters: {'n_estimators': 952, 'max_depth': 11, 'min_samples_split': 10, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 1 with value: 0.6971432630806063. [TRIAL] #002 value=0.69068 | best=0.69714 | elapsed=49.7m | ETA~40.3m [I 2026-01-21 11:10:09,233] Trial 3 finished with value: 0.6527072032375507 and parameters: {'n_estimators': 1282, 'max_depth': 8, 'min_samples_split': 18, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 1 with value: 0.6971432630806063. [TRIAL] #003 value=0.65271 | best=0.69714 | elapsed=66.9m | ETA~23.1m [I 2026-01-21 11:31:14,833] Trial 4 finished with value: 0.7045286957315765 and parameters: {'n_estimators': 1189, 'max_depth': 13, 'min_samples_split': 2, 'min_samples_leaf': 5, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 4 with value: 0.7045286957315765. [TRIAL] #004 value=0.70453 | best=0.70453 | elapsed=88.0m | ETA~2.0m [I 2026-01-21 11:51:50,513] Trial 5 finished with value: 0.6864927771760352 and parameters: {'n_estimators': 1354, 'max_depth': 10, 'min_samples_split': 2, 'min_samples_leaf': 4, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 4 with value: 0.7045286957315765. [TRIAL] #005 value=0.68649 | best=0.70453 | elapsed=108.6m | ETA~0.0m [DONE] RF | pu | normal | PR_AUC in 114.6 min best=0.70453 [WRITE] metrics_summary.csv updated [INFO] Auto-disabling calibration for PU run XGB_pu_normal_PR_AUC_64log_gc_tetra (use --force_calibration_pu to override). ------------------------------------------------------------------------ [RUN ] mode=pu | weights=normal | metric=PR_AUC | model=XGB | timeout=5400s | trials=30 [RUN ] run_id=XGB_pu_normal_PR_AUC_64log_gc_tetra | calibrate=False ------------------------------------------------------------------------ [I 2026-01-21 11:58:12,235] A new study created in memory with name: XGB_pu_normal_PR_AUC_64log_gc_tetra [I 2026-01-21 12:04:20,413] Trial 0 finished with value: 0.6889134777548773 and parameters: {'n_estimators': 1111, 'max_depth': 3, 'learning_rate': 0.03370930493458337, 'subsample': 0.9577758201826896, 'colsample_bytree': 0.5142468317339846, 'reg_alpha': 0.0006115954414786214, 'reg_lambda': 0.01918241727715753, 'gamma': 2.80352942601103, 'min_child_weight': 0.0015824807516314043, 'tree_method': 'hist'}. Best is trial 0 with value: 0.6889134777548773. [TRIAL] #000 value=0.68891 | best=0.68891 | elapsed=6.1m | ETA~83.9m [I 2026-01-21 12:16:25,223] Trial 1 finished with value: 0.6932870905840939 and parameters: {'n_estimators': 1302, 'max_depth': 5, 'learning_rate': 0.0072620944188966, 'subsample': 0.6978461139113221, 'colsample_bytree': 0.5980053255327596, 'reg_alpha': 0.34263788652532723, 'reg_lambda': 0.30491993079062035, 'gamma': 3.560517244459695, 'min_child_weight': 0.002868126570937145, 'tree_method': 'hist'}. Best is trial 1 with value: 0.6932870905840939. [TRIAL] #001 value=0.69329 | best=0.69329 | elapsed=18.2m | ETA~71.8m [I 2026-01-21 13:34:47,894] Trial 2 finished with value: 0.754161550145034 and parameters: {'n_estimators': 1578, 'max_depth': 9, 'learning_rate': 0.04979229354977518, 'subsample': 0.7349286068910447, 'colsample_bytree': 0.8517375281619671, 'reg_alpha': 0.004000427691732642, 'reg_lambda': 0.23248744963373194, 'gamma': 1.3207447248212512, 'min_child_weight': 0.09312018433606455, 'tree_method': 'approx'}. Best is trial 2 with value: 0.754161550145034. [TRIAL] #002 value=0.75416 | best=0.75416 | elapsed=96.6m | ETA~0.0m [DONE] XGB | pu | normal | PR_AUC in 115.9 min best=0.75416 [WRITE] metrics_summary.csv updated [INFO] Auto-disabling calibration for PU run ET_pu_normal_PR_AUC_64log_gc_tetra (use --force_calibration_pu to override). ------------------------------------------------------------------------ [RUN ] mode=pu | weights=normal | metric=PR_AUC | model=ET | timeout=5400s | trials=30 [RUN ] run_id=ET_pu_normal_PR_AUC_64log_gc_tetra | calibrate=False ------------------------------------------------------------------------ [I 2026-01-21 13:54:06,034] A new study created in memory with name: ET_pu_normal_PR_AUC_64log_gc_tetra [I 2026-01-21 14:06:20,644] Trial 0 finished with value: 0.47360273565139976 and parameters: {'n_estimators': 1212, 'max_depth': 7, 'min_samples_split': 8, 'min_samples_leaf': 6, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 0 with value: 0.47360273565139976. [TRIAL] #000 value=0.47360 | best=0.47360 | elapsed=12.2m | ETA~77.8m [I 2026-01-21 14:19:28,591] Trial 1 finished with value: 0.6556441880473084 and parameters: {'n_estimators': 1691, 'max_depth': 14, 'min_samples_split': 10, 'min_samples_leaf': 8, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 1 with value: 0.6556441880473084. [TRIAL] #001 value=0.65564 | best=0.65564 | elapsed=25.4m | ETA~64.6m [I 2026-01-21 14:28:11,334] Trial 2 finished with value: 0.6701498961488749 and parameters: {'n_estimators': 985, 'max_depth': 16, 'min_samples_split': 20, 'min_samples_leaf': 8, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 2 with value: 0.6701498961488749. [TRIAL] #002 value=0.67015 | best=0.67015 | elapsed=34.1m | ETA~55.9m [I 2026-01-21 14:42:55,972] Trial 3 finished with value: 0.672788754236568 and parameters: {'n_estimators': 1845, 'max_depth': 16, 'min_samples_split': 18, 'min_samples_leaf': 6, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 3 with value: 0.672788754236568. [TRIAL] #003 value=0.67279 | best=0.67279 | elapsed=48.8m | ETA~41.2m [I 2026-01-21 14:52:39,909] Trial 4 finished with value: 0.6081312984898154 and parameters: {'n_estimators': 957, 'max_depth': 12, 'min_samples_split': 18, 'min_samples_leaf': 10, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 3 with value: 0.672788754236568. [TRIAL] #004 value=0.60813 | best=0.67279 | elapsed=58.6m | ETA~31.4m [I 2026-01-21 15:05:13,883] Trial 5 finished with value: 0.5243627856778574 and parameters: {'n_estimators': 1186, 'max_depth': 8, 'min_samples_split': 15, 'min_samples_leaf': 3, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 3 with value: 0.672788754236568. [TRIAL] #005 value=0.52436 | best=0.67279 | elapsed=71.1m | ETA~18.9m [I 2026-01-21 15:20:14,963] Trial 6 finished with value: 0.4744153721332247 and parameters: {'n_estimators': 1553, 'max_depth': 7, 'min_samples_split': 3, 'min_samples_leaf': 3, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 3 with value: 0.672788754236568. [TRIAL] #006 value=0.47442 | best=0.67279 | elapsed=86.2m | ETA~3.8m [I 2026-01-21 15:32:14,075] Trial 7 finished with value: 0.6522198702930573 and parameters: {'n_estimators': 1364, 'max_depth': 16, 'min_samples_split': 11, 'min_samples_leaf': 11, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 3 with value: 0.672788754236568. [TRIAL] #007 value=0.65222 | best=0.67279 | elapsed=98.1m | ETA~0.0m [DONE] ET | pu | normal | PR_AUC in 102.4 min best=0.67279 [WRITE] metrics_summary.csv updated [INFO] Auto-disabling calibration for PU run RF_pu_normal_FB_64log_gc_tetra (use --force_calibration_pu to override). ------------------------------------------------------------------------ [RUN ] mode=pu | weights=normal | metric=FB | model=RF | timeout=5400s | trials=30 [RUN ] run_id=RF_pu_normal_FB_64log_gc_tetra | calibrate=False ------------------------------------------------------------------------ [I 2026-01-21 15:37:08,142] A new study created in memory with name: RF_pu_normal_FB_64log_gc_tetra [I 2026-01-21 15:50:00,757] Trial 0 finished with value: 0.6710036489624415 and parameters: {'n_estimators': 630, 'max_depth': 12, 'min_samples_split': 2, 'min_samples_leaf': 8, 'max_features': 'sqrt', 'class_weight': 'balanced_subsample'}. Best is trial 0 with value: 0.6710036489624415. [TRIAL] #000 value=0.67100 | best=0.67100 | elapsed=12.9m | ETA~77.1m [I 2026-01-21 16:12:46,192] Trial 1 finished with value: 0.6701807228915663 and parameters: {'n_estimators': 1326, 'max_depth': 13, 'min_samples_split': 20, 'min_samples_leaf': 8, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 0 with value: 0.6710036489624415. [TRIAL] #001 value=0.67018 | best=0.67100 | elapsed=35.6m | ETA~54.4m [I 2026-01-21 16:32:55,095] Trial 2 finished with value: 0.6773685529188589 and parameters: {'n_estimators': 1132, 'max_depth': 15, 'min_samples_split': 18, 'min_samples_leaf': 7, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 2 with value: 0.6773685529188589. [TRIAL] #002 value=0.67737 | best=0.67737 | elapsed=55.8m | ETA~34.2m [I 2026-01-21 16:44:30,268] Trial 3 finished with value: 0.6849533106960951 and parameters: {'n_estimators': 561, 'max_depth': 14, 'min_samples_split': 9, 'min_samples_leaf': 4, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 3 with value: 0.6849533106960951. [TRIAL] #003 value=0.68495 | best=0.68495 | elapsed=67.4m | ETA~22.6m [I 2026-01-21 16:56:56,639] Trial 4 finished with value: 0.6679298039071411 and parameters: {'n_estimators': 630, 'max_depth': 14, 'min_samples_split': 7, 'min_samples_leaf': 11, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 3 with value: 0.6849533106960951. [TRIAL] #004 value=0.66793 | best=0.68495 | elapsed=79.8m | ETA~10.2m [I 2026-01-21 17:09:42,525] Trial 5 finished with value: 0.6682480263889403 and parameters: {'n_estimators': 728, 'max_depth': 11, 'min_samples_split': 14, 'min_samples_leaf': 5, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 3 with value: 0.6849533106960951. [TRIAL] #005 value=0.66825 | best=0.68495 | elapsed=92.6m | ETA~0.0m [DONE] RF | pu | normal | FB in 95.9 min best=0.68495 [WRITE] metrics_summary.csv updated [INFO] Auto-disabling calibration for PU run XGB_pu_normal_FB_64log_gc_tetra (use --force_calibration_pu to override). ------------------------------------------------------------------------ [RUN ] mode=pu | weights=normal | metric=FB | model=XGB | timeout=5400s | trials=30 [RUN ] run_id=XGB_pu_normal_FB_64log_gc_tetra | calibrate=False ------------------------------------------------------------------------ [I 2026-01-21 17:13:12,027] A new study created in memory with name: XGB_pu_normal_FB_64log_gc_tetra [I 2026-01-21 18:03:31,570] Trial 0 finished with value: 0.7270056912061685 and parameters: {'n_estimators': 1014, 'max_depth': 6, 'learning_rate': 0.09059576384168548, 'subsample': 0.6591605158203618, 'colsample_bytree': 0.6701123379285967, 'reg_alpha': 0.1321908015657376, 'reg_lambda': 0.027062383202467243, 'gamma': 0.6741996799771965, 'min_child_weight': 0.1317482414568317, 'tree_method': 'approx'}. Best is trial 0 with value: 0.7270056912061685. [TRIAL] #000 value=0.72701 | best=0.72701 | elapsed=50.4m | ETA~39.6m [I 2026-01-21 18:14:33,449] Trial 1 finished with value: 0.5859945174267507 and parameters: {'n_estimators': 1987, 'max_depth': 3, 'learning_rate': 0.0013277093092987772, 'subsample': 0.8928465032971618, 'colsample_bytree': 0.9557400085490217, 'reg_alpha': 0.0010813580155054983, 'reg_lambda': 0.455671037223877, 'gamma': 3.6219815925133423, 'min_child_weight': 0.005308154115368646, 'tree_method': 'hist'}. Best is trial 0 with value: 0.7270056912061685. [TRIAL] #001 value=0.58599 | best=0.72701 | elapsed=61.4m | ETA~28.6m [I 2026-01-21 18:32:29,381] Trial 2 finished with value: 0.6707117087569695 and parameters: {'n_estimators': 1153, 'max_depth': 7, 'learning_rate': 0.0033079529617103987, 'subsample': 0.6226376030243668, 'colsample_bytree': 0.7278757098490656, 'reg_alpha': 0.002778018104451721, 'reg_lambda': 0.010875769333181353, 'gamma': 1.0024933737689201, 'min_child_weight': 6.802525505130819, 'tree_method': 'hist'}. Best is trial 0 with value: 0.7270056912061685. [TRIAL] #002 value=0.67071 | best=0.72701 | elapsed=79.3m | ETA~10.7m [I 2026-01-21 19:54:04,692] Trial 3 finished with value: 0.7259617131025464 and parameters: {'n_estimators': 1332, 'max_depth': 8, 'learning_rate': 0.031174365071074482, 'subsample': 0.6181542480326992, 'colsample_bytree': 0.7556631736157018, 'reg_alpha': 0.11113530268887571, 'reg_lambda': 0.010027953384718857, 'gamma': 1.0868758306661546, 'min_child_weight': 0.8451488885912823, 'tree_method': 'approx'}. Best is trial 0 with value: 0.7270056912061685. [TRIAL] #003 value=0.72596 | best=0.72701 | elapsed=160.9m | ETA~0.0m [DONE] XGB | pu | normal | FB in 172.5 min best=0.72701 [WRITE] metrics_summary.csv updated [INFO] Auto-disabling calibration for PU run ET_pu_normal_FB_64log_gc_tetra (use --force_calibration_pu to override). ------------------------------------------------------------------------ [RUN ] mode=pu | weights=normal | metric=FB | model=ET | timeout=5400s | trials=30 [RUN ] run_id=ET_pu_normal_FB_64log_gc_tetra | calibrate=False ------------------------------------------------------------------------ [I 2026-01-21 20:05:44,399] A new study created in memory with name: ET_pu_normal_FB_64log_gc_tetra [I 2026-01-21 20:17:50,841] Trial 0 finished with value: 0.6437807321070843 and parameters: {'n_estimators': 1441, 'max_depth': 12, 'min_samples_split': 8, 'min_samples_leaf': 6, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 0 with value: 0.6437807321070843. [TRIAL] #000 value=0.64378 | best=0.64378 | elapsed=12.1m | ETA~77.9m [I 2026-01-21 20:28:39,593] Trial 1 finished with value: 0.5887991741326549 and parameters: {'n_estimators': 1102, 'max_depth': 9, 'min_samples_split': 9, 'min_samples_leaf': 8, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 0 with value: 0.6437807321070843. [TRIAL] #001 value=0.58880 | best=0.64378 | elapsed=22.9m | ETA~67.1m [I 2026-01-21 20:45:08,395] Trial 2 finished with value: 0.5471535257252224 and parameters: {'n_estimators': 1564, 'max_depth': 7, 'min_samples_split': 16, 'min_samples_leaf': 8, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 0 with value: 0.6437807321070843. [TRIAL] #002 value=0.54715 | best=0.64378 | elapsed=39.4m | ETA~50.6m [I 2026-01-21 20:53:57,897] Trial 3 finished with value: 0.6661178192462496 and parameters: {'n_estimators': 950, 'max_depth': 18, 'min_samples_split': 9, 'min_samples_leaf': 6, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 3 with value: 0.6661178192462496. [TRIAL] #003 value=0.66612 | best=0.66612 | elapsed=48.2m | ETA~41.8m [I 2026-01-21 21:03:03,408] Trial 4 finished with value: 0.5709725396307179 and parameters: {'n_estimators': 750, 'max_depth': 8, 'min_samples_split': 18, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 3 with value: 0.6661178192462496. [TRIAL] #004 value=0.57097 | best=0.66612 | elapsed=57.3m | ETA~32.7m [I 2026-01-21 21:14:24,931] Trial 5 finished with value: 0.5482222303930581 and parameters: {'n_estimators': 985, 'max_depth': 7, 'min_samples_split': 8, 'min_samples_leaf': 5, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 3 with value: 0.6661178192462496. [TRIAL] #005 value=0.54822 | best=0.66612 | elapsed=68.7m | ETA~21.3m [I 2026-01-21 21:26:52,993] Trial 6 finished with value: 0.568611902101431 and parameters: {'n_estimators': 1156, 'max_depth': 8, 'min_samples_split': 5, 'min_samples_leaf': 12, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 3 with value: 0.6661178192462496. [TRIAL] #006 value=0.56861 | best=0.66612 | elapsed=81.1m | ETA~8.9m [I 2026-01-21 21:41:51,792] Trial 7 finished with value: 0.6066209797309547 and parameters: {'n_estimators': 1767, 'max_depth': 10, 'min_samples_split': 8, 'min_samples_leaf': 9, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 3 with value: 0.6661178192462496. [TRIAL] #007 value=0.60662 | best=0.66612 | elapsed=96.1m | ETA~0.0m [DONE] ET | pu | normal | FB in 98.8 min best=0.66612 [WRITE] metrics_summary.csv updated [INFO] Auto-disabling calibration for PU run RF_pu_weighted_F1_64log_gc_tetra (use --force_calibration_pu to override). ------------------------------------------------------------------------ [RUN ] mode=pu | weights=weighted | metric=F1 | model=RF | timeout=5400s | trials=30 [RUN ] run_id=RF_pu_weighted_F1_64log_gc_tetra | calibrate=False ------------------------------------------------------------------------ [I 2026-01-21 21:44:54,918] A new study created in memory with name: RF_pu_weighted_F1_64log_gc_tetra [I 2026-01-21 22:06:37,750] Trial 0 finished with value: 0.6940328292639497 and parameters: {'n_estimators': 1246, 'max_depth': 12, 'min_samples_split': 6, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 0 with value: 0.6940328292639497. [TRIAL] #000 value=0.69403 | best=0.69403 | elapsed=21.7m | ETA~68.3m [I 2026-01-21 22:23:45,675] Trial 1 finished with value: 0.6869954952264822 and parameters: {'n_estimators': 965, 'max_depth': 12, 'min_samples_split': 16, 'min_samples_leaf': 4, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 0 with value: 0.6940328292639497. [TRIAL] #001 value=0.68700 | best=0.69403 | elapsed=38.8m | ETA~51.2m [I 2026-01-21 22:45:14,325] Trial 2 finished with value: 0.6802563068827597 and parameters: {'n_estimators': 1146, 'max_depth': 15, 'min_samples_split': 13, 'min_samples_leaf': 11, 'max_features': 'sqrt', 'class_weight': 'balanced_subsample'}. Best is trial 0 with value: 0.6940328292639497. [TRIAL] #002 value=0.68026 | best=0.69403 | elapsed=60.3m | ETA~29.7m [I 2026-01-21 23:00:14,265] Trial 3 finished with value: 0.6395715043699646 and parameters: {'n_estimators': 940, 'max_depth': 7, 'min_samples_split': 4, 'min_samples_leaf': 4, 'max_features': 'sqrt', 'class_weight': 'balanced_subsample'}. Best is trial 0 with value: 0.6940328292639497. [TRIAL] #003 value=0.63957 | best=0.69403 | elapsed=75.3m | ETA~14.7m [I 2026-01-21 23:16:48,491] Trial 4 finished with value: 0.639518291244771 and parameters: {'n_estimators': 1076, 'max_depth': 7, 'min_samples_split': 13, 'min_samples_leaf': 4, 'max_features': 'sqrt', 'class_weight': 'balanced_subsample'}. Best is trial 0 with value: 0.6940328292639497. [TRIAL] #004 value=0.63952 | best=0.69403 | elapsed=91.9m | ETA~0.0m [DONE] RF | pu | weighted | F1 in 98.1 min best=0.69403 [WRITE] metrics_summary.csv updated [INFO] Auto-disabling calibration for PU run XGB_pu_weighted_F1_64log_gc_tetra (use --force_calibration_pu to override). ------------------------------------------------------------------------ [RUN ] mode=pu | weights=weighted | metric=F1 | model=XGB | timeout=5400s | trials=30 [RUN ] run_id=XGB_pu_weighted_F1_64log_gc_tetra | calibrate=False ------------------------------------------------------------------------ [I 2026-01-21 23:23:15,462] A new study created in memory with name: XGB_pu_weighted_F1_64log_gc_tetra [I 2026-01-21 23:57:58,603] Trial 0 finished with value: 0.7074236533903034 and parameters: {'n_estimators': 978, 'max_depth': 9, 'learning_rate': 0.0034593674463036244, 'subsample': 0.7827827107771981, 'colsample_bytree': 0.7077373212573768, 'reg_alpha': 0.0009464866431460316, 'reg_lambda': 0.0024639851796003477, 'gamma': 0.9910952734472206, 'min_child_weight': 0.0224501172220229, 'tree_method': 'hist'}. Best is trial 0 with value: 0.7074236533903034. [TRIAL] #000 value=0.70742 | best=0.70742 | elapsed=34.8m | ETA~55.2m [I 2026-01-22 00:05:39,742] Trial 1 finished with value: 0.6184733432161967 and parameters: {'n_estimators': 1372, 'max_depth': 3, 'learning_rate': 0.0058250253316992975, 'subsample': 0.6644049837814447, 'colsample_bytree': 0.6002697979522941, 'reg_alpha': 0.0001944507493157387, 'reg_lambda': 3.663156096353241, 'gamma': 2.048589926320635, 'min_child_weight': 7.9820032144612885, 'tree_method': 'hist'}. Best is trial 0 with value: 0.7074236533903034. [TRIAL] #001 value=0.61847 | best=0.70742 | elapsed=42.4m | ETA~47.6m [I 2026-01-22 00:23:08,512] Trial 2 finished with value: 0.6768597473626105 and parameters: {'n_estimators': 1394, 'max_depth': 6, 'learning_rate': 0.002618418105667277, 'subsample': 0.7220481006364253, 'colsample_bytree': 0.6363015064035729, 'reg_alpha': 0.00023593657642311707, 'reg_lambda': 0.008392234741234517, 'gamma': 4.837052803302756, 'min_child_weight': 0.0359779000402456, 'tree_method': 'hist'}. Best is trial 0 with value: 0.7074236533903034. [TRIAL] #002 value=0.67686 | best=0.70742 | elapsed=59.9m | ETA~30.1m [I 2026-01-22 00:27:52,216] Trial 3 finished with value: 0.7068274540458869 and parameters: {'n_estimators': 634, 'max_depth': 3, 'learning_rate': 0.10712515224112434, 'subsample': 0.9337519495943747, 'colsample_bytree': 0.5017676700441966, 'reg_alpha': 0.010312689909718982, 'reg_lambda': 0.0015984626124744081, 'gamma': 0.40044978490457905, 'min_child_weight': 0.010916733400082448, 'tree_method': 'hist'}. Best is trial 0 with value: 0.7074236533903034. [TRIAL] #003 value=0.70683 | best=0.70742 | elapsed=64.6m | ETA~25.4m [I 2026-01-22 00:57:02,053] Trial 4 finished with value: 0.6514678207560493 and parameters: {'n_estimators': 596, 'max_depth': 4, 'learning_rate': 0.009862643217416986, 'subsample': 0.7589662602926871, 'colsample_bytree': 0.5852782291789309, 'reg_alpha': 1.5350436612691063, 'reg_lambda': 0.13837997069406355, 'gamma': 0.4494746597897381, 'min_child_weight': 5.92019867837566, 'tree_method': 'approx'}. Best is trial 0 with value: 0.7074236533903034. [TRIAL] #004 value=0.65147 | best=0.70742 | elapsed=93.8m | ETA~0.0m [DONE] XGB | pu | weighted | F1 in 101.7 min best=0.70742 [WRITE] metrics_summary.csv updated [INFO] Auto-disabling calibration for PU run ET_pu_weighted_F1_64log_gc_tetra (use --force_calibration_pu to override). ------------------------------------------------------------------------ [RUN ] mode=pu | weights=weighted | metric=F1 | model=ET | timeout=5400s | trials=30 [RUN ] run_id=ET_pu_weighted_F1_64log_gc_tetra | calibrate=False ------------------------------------------------------------------------ [I 2026-01-22 01:05:01,860] A new study created in memory with name: ET_pu_weighted_F1_64log_gc_tetra [I 2026-01-22 01:18:02,943] Trial 0 finished with value: 0.6182919359240953 and parameters: {'n_estimators': 1323, 'max_depth': 10, 'min_samples_split': 17, 'min_samples_leaf': 4, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 0 with value: 0.6182919359240953. [TRIAL] #000 value=0.61829 | best=0.61829 | elapsed=13.0m | ETA~77.0m [I 2026-01-22 01:27:38,012] Trial 1 finished with value: 0.4992260817639308 and parameters: {'n_estimators': 781, 'max_depth': 6, 'min_samples_split': 12, 'min_samples_leaf': 10, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 0 with value: 0.6182919359240953. [TRIAL] #001 value=0.49923 | best=0.61829 | elapsed=22.6m | ETA~67.4m [I 2026-01-22 01:41:28,555] Trial 2 finished with value: 0.4991539350013898 and parameters: {'n_estimators': 1249, 'max_depth': 6, 'min_samples_split': 7, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 0 with value: 0.6182919359240953. [TRIAL] #002 value=0.49915 | best=0.61829 | elapsed=36.4m | ETA~53.6m [I 2026-01-22 01:53:16,250] Trial 3 finished with value: 0.6446070397129716 and parameters: {'n_estimators': 1305, 'max_depth': 13, 'min_samples_split': 10, 'min_samples_leaf': 7, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 3 with value: 0.6446070397129716. [TRIAL] #003 value=0.64461 | best=0.64461 | elapsed=48.2m | ETA~41.8m [I 2026-01-22 02:06:49,617] Trial 4 finished with value: 0.6755370787788934 and parameters: {'n_estimators': 1690, 'max_depth': 18, 'min_samples_split': 18, 'min_samples_leaf': 4, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 4 with value: 0.6755370787788934. [TRIAL] #004 value=0.67554 | best=0.67554 | elapsed=61.8m | ETA~28.2m [I 2026-01-22 02:22:06,876] Trial 5 finished with value: 0.6344485112193945 and parameters: {'n_estimators': 1755, 'max_depth': 12, 'min_samples_split': 8, 'min_samples_leaf': 12, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 4 with value: 0.6755370787788934. [TRIAL] #005 value=0.63445 | best=0.67554 | elapsed=77.1m | ETA~12.9m [I 2026-01-22 02:37:07,020] Trial 6 finished with value: 0.6044932890663299 and parameters: {'n_estimators': 1502, 'max_depth': 9, 'min_samples_split': 15, 'min_samples_leaf': 10, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 4 with value: 0.6755370787788934. [TRIAL] #006 value=0.60449 | best=0.67554 | elapsed=92.1m | ETA~0.0m [DONE] ET | pu | weighted | F1 in 96.0 min best=0.67554 [WRITE] metrics_summary.csv updated [INFO] Auto-disabling calibration for PU run RF_pu_weighted_PR_AUC_64log_gc_tetra (use --force_calibration_pu to override). ------------------------------------------------------------------------ [RUN ] mode=pu | weights=weighted | metric=PR_AUC | model=RF | timeout=5400s | trials=30 [RUN ] run_id=RF_pu_weighted_PR_AUC_64log_gc_tetra | calibrate=False ------------------------------------------------------------------------ [I 2026-01-22 02:41:44,702] A new study created in memory with name: RF_pu_weighted_PR_AUC_64log_gc_tetra [I 2026-01-22 02:52:07,533] Trial 0 finished with value: 0.6105972744864503 and parameters: {'n_estimators': 538, 'max_depth': 6, 'min_samples_split': 9, 'min_samples_leaf': 11, 'max_features': 'sqrt', 'class_weight': 'balanced_subsample'}. Best is trial 0 with value: 0.6105972744864503. [TRIAL] #000 value=0.61060 | best=0.61060 | elapsed=10.4m | ETA~79.6m [I 2026-01-22 03:09:11,103] Trial 1 finished with value: 0.6993923947125075 and parameters: {'n_estimators': 908, 'max_depth': 14, 'min_samples_split': 17, 'min_samples_leaf': 7, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 1 with value: 0.6993923947125075. [TRIAL] #001 value=0.69939 | best=0.69939 | elapsed=27.4m | ETA~62.6m [I 2026-01-22 03:26:27,324] Trial 2 finished with value: 0.6983517622813794 and parameters: {'n_estimators': 983, 'max_depth': 13, 'min_samples_split': 14, 'min_samples_leaf': 7, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 1 with value: 0.6993923947125075. [TRIAL] #002 value=0.69835 | best=0.69939 | elapsed=44.7m | ETA~45.3m [I 2026-01-22 03:44:18,322] Trial 3 finished with value: 0.6539835572124922 and parameters: {'n_estimators': 1349, 'max_depth': 8, 'min_samples_split': 12, 'min_samples_leaf': 6, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 1 with value: 0.6993923947125075. [TRIAL] #003 value=0.65398 | best=0.69939 | elapsed=62.6m | ETA~27.4m [I 2026-01-22 03:55:07,705] Trial 4 finished with value: 0.6330770088533955 and parameters: {'n_estimators': 569, 'max_depth': 7, 'min_samples_split': 10, 'min_samples_leaf': 9, 'max_features': 'sqrt', 'class_weight': 'balanced_subsample'}. Best is trial 1 with value: 0.6993923947125075. [TRIAL] #004 value=0.63308 | best=0.69939 | elapsed=73.4m | ETA~16.6m [I 2026-01-22 04:08:21,811] Trial 5 finished with value: 0.6939674491052387 and parameters: {'n_estimators': 699, 'max_depth': 14, 'min_samples_split': 3, 'min_samples_leaf': 10, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 1 with value: 0.6993923947125075. [TRIAL] #005 value=0.69397 | best=0.69939 | elapsed=86.6m | ETA~3.4m [I 2026-01-22 04:30:43,072] Trial 6 finished with value: 0.6908113044280852 and parameters: {'n_estimators': 1312, 'max_depth': 15, 'min_samples_split': 20, 'min_samples_leaf': 12, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 1 with value: 0.6993923947125075. [TRIAL] #006 value=0.69081 | best=0.69939 | elapsed=109.0m | ETA~0.0m [DONE] RF | pu | weighted | PR_AUC in 114.0 min best=0.69939 [WRITE] metrics_summary.csv updated [INFO] Auto-disabling calibration for PU run XGB_pu_weighted_PR_AUC_64log_gc_tetra (use --force_calibration_pu to override). ------------------------------------------------------------------------ [RUN ] mode=pu | weights=weighted | metric=PR_AUC | model=XGB | timeout=5400s | trials=30 [RUN ] run_id=XGB_pu_weighted_PR_AUC_64log_gc_tetra | calibrate=False ------------------------------------------------------------------------ [I 2026-01-22 04:35:51,970] A new study created in memory with name: XGB_pu_weighted_PR_AUC_64log_gc_tetra [I 2026-01-22 04:46:11,333] Trial 0 finished with value: 0.7322092194783114 and parameters: {'n_estimators': 1967, 'max_depth': 5, 'learning_rate': 0.03150085927470025, 'subsample': 0.8326365584132027, 'colsample_bytree': 0.8878834272540359, 'reg_alpha': 0.0001107343667998548, 'reg_lambda': 0.11177352994632554, 'gamma': 2.7538661945117644, 'min_child_weight': 2.6790287501973125, 'tree_method': 'hist'}. Best is trial 0 with value: 0.7322092194783114. [TRIAL] #000 value=0.73221 | best=0.73221 | elapsed=10.3m | ETA~79.7m [I 2026-01-22 06:57:55,068] Trial 1 finished with value: 0.7504200321766625 and parameters: {'n_estimators': 1011, 'max_depth': 9, 'learning_rate': 0.014991643623557215, 'subsample': 0.8837638509720609, 'colsample_bytree': 0.9909727090346074, 'reg_alpha': 0.22711902869568265, 'reg_lambda': 2.4087603167435128, 'gamma': 1.014988059444824, 'min_child_weight': 0.1521071166208716, 'tree_method': 'approx'}. Best is trial 1 with value: 0.7504200321766625. [TRIAL] #001 value=0.75042 | best=0.75042 | elapsed=142.1m | ETA~0.0m [DONE] XGB | pu | weighted | PR_AUC in 172.8 min best=0.75042 [WRITE] metrics_summary.csv updated [INFO] Auto-disabling calibration for PU run ET_pu_weighted_PR_AUC_64log_gc_tetra (use --force_calibration_pu to override). ------------------------------------------------------------------------ [RUN ] mode=pu | weights=weighted | metric=PR_AUC | model=ET | timeout=5400s | trials=30 [RUN ] run_id=ET_pu_weighted_PR_AUC_64log_gc_tetra | calibrate=False ------------------------------------------------------------------------ [I 2026-01-22 07:28:43,962] A new study created in memory with name: ET_pu_weighted_PR_AUC_64log_gc_tetra [I 2026-01-22 07:38:23,893] Trial 0 finished with value: 0.5208187716784483 and parameters: {'n_estimators': 774, 'max_depth': 8, 'min_samples_split': 13, 'min_samples_leaf': 8, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 0 with value: 0.5208187716784483. [TRIAL] #000 value=0.52082 | best=0.52082 | elapsed=9.7m | ETA~80.3m [I 2026-01-22 07:47:20,650] Trial 1 finished with value: 0.6833731579235247 and parameters: {'n_estimators': 884, 'max_depth': 14, 'min_samples_split': 4, 'min_samples_leaf': 3, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 1 with value: 0.6833731579235247. [TRIAL] #001 value=0.68337 | best=0.68337 | elapsed=18.6m | ETA~71.4m [I 2026-01-22 08:06:20,423] Trial 2 finished with value: 0.5188848656021234 and parameters: {'n_estimators': 1888, 'max_depth': 8, 'min_samples_split': 14, 'min_samples_leaf': 11, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 1 with value: 0.6833731579235247. [TRIAL] #002 value=0.51888 | best=0.68337 | elapsed=37.6m | ETA~52.4m [I 2026-01-22 08:14:41,890] Trial 3 finished with value: 0.5700373835676743 and parameters: {'n_estimators': 703, 'max_depth': 10, 'min_samples_split': 15, 'min_samples_leaf': 7, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 1 with value: 0.6833731579235247. [TRIAL] #003 value=0.57004 | best=0.68337 | elapsed=46.0m | ETA~44.0m [I 2026-01-22 08:29:20,952] Trial 4 finished with value: 0.7093764265602576 and parameters: {'n_estimators': 1880, 'max_depth': 17, 'min_samples_split': 11, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 4 with value: 0.7093764265602576. [TRIAL] #004 value=0.70938 | best=0.70938 | elapsed=60.6m | ETA~29.4m [I 2026-01-22 08:43:38,432] Trial 5 finished with value: 0.595851890594301 and parameters: {'n_estimators': 1596, 'max_depth': 11, 'min_samples_split': 9, 'min_samples_leaf': 6, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 4 with value: 0.7093764265602576. [TRIAL] #005 value=0.59585 | best=0.70938 | elapsed=74.9m | ETA~15.1m [I 2026-01-22 08:55:37,736] Trial 6 finished with value: 0.49815635971553707 and parameters: {'n_estimators': 1051, 'max_depth': 7, 'min_samples_split': 10, 'min_samples_leaf': 7, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 4 with value: 0.7093764265602576. [TRIAL] #006 value=0.49816 | best=0.70938 | elapsed=86.9m | ETA~3.1m [I 2026-01-22 09:06:34,079] Trial 7 finished with value: 0.6505462164297434 and parameters: {'n_estimators': 1155, 'max_depth': 13, 'min_samples_split': 13, 'min_samples_leaf': 6, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 4 with value: 0.7093764265602576. [TRIAL] #007 value=0.65055 | best=0.70938 | elapsed=97.8m | ETA~0.0m [DONE] ET | pu | weighted | PR_AUC in 102.2 min best=0.70938 [WRITE] metrics_summary.csv updated [INFO] Auto-disabling calibration for PU run RF_pu_weighted_FB_64log_gc_tetra (use --force_calibration_pu to override). ------------------------------------------------------------------------ [RUN ] mode=pu | weights=weighted | metric=FB | model=RF | timeout=5400s | trials=30 [RUN ] run_id=RF_pu_weighted_FB_64log_gc_tetra | calibrate=False ------------------------------------------------------------------------ [I 2026-01-22 09:11:53,624] A new study created in memory with name: RF_pu_weighted_FB_64log_gc_tetra [I 2026-01-22 09:25:13,042] Trial 0 finished with value: 0.6422051977566805 and parameters: {'n_estimators': 914, 'max_depth': 8, 'min_samples_split': 11, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 0 with value: 0.6422051977566805. [TRIAL] #000 value=0.64221 | best=0.64221 | elapsed=13.3m | ETA~76.7m [I 2026-01-22 09:36:36,031] Trial 1 finished with value: 0.6804168319330761 and parameters: {'n_estimators': 538, 'max_depth': 16, 'min_samples_split': 2, 'min_samples_leaf': 7, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 1 with value: 0.6804168319330761. [TRIAL] #001 value=0.68042 | best=0.68042 | elapsed=24.7m | ETA~65.3m [I 2026-01-22 09:49:01,487] Trial 2 finished with value: 0.594322245096977 and parameters: {'n_estimators': 1060, 'max_depth': 6, 'min_samples_split': 18, 'min_samples_leaf': 8, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 1 with value: 0.6804168319330761. [TRIAL] #002 value=0.59432 | best=0.68042 | elapsed=37.1m | ETA~52.9m [I 2026-01-22 10:00:38,493] Trial 3 finished with value: 0.6617322138753866 and parameters: {'n_estimators': 662, 'max_depth': 11, 'min_samples_split': 17, 'min_samples_leaf': 10, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 1 with value: 0.6804168319330761. [TRIAL] #003 value=0.66173 | best=0.68042 | elapsed=48.7m | ETA~41.3m [I 2026-01-22 10:16:43,667] Trial 4 finished with value: 0.6384222059897735 and parameters: {'n_estimators': 1183, 'max_depth': 8, 'min_samples_split': 20, 'min_samples_leaf': 8, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 1 with value: 0.6804168319330761. [TRIAL] #004 value=0.63842 | best=0.68042 | elapsed=64.8m | ETA~25.2m [I 2026-01-22 10:42:38,015] Trial 5 finished with value: 0.6796897863623061 and parameters: {'n_estimators': 1400, 'max_depth': 15, 'min_samples_split': 8, 'min_samples_leaf': 6, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 1 with value: 0.6804168319330761. [TRIAL] #005 value=0.67969 | best=0.68042 | elapsed=90.7m | ETA~0.0m [DONE] RF | pu | weighted | FB in 94.2 min best=0.68042 [WRITE] metrics_summary.csv updated [INFO] Auto-disabling calibration for PU run XGB_pu_weighted_FB_64log_gc_tetra (use --force_calibration_pu to override). ------------------------------------------------------------------------ [RUN ] mode=pu | weights=weighted | metric=FB | model=XGB | timeout=5400s | trials=30 [RUN ] run_id=XGB_pu_weighted_FB_64log_gc_tetra | calibrate=False ------------------------------------------------------------------------ [I 2026-01-22 10:46:08,686] A new study created in memory with name: XGB_pu_weighted_FB_64log_gc_tetra [I 2026-01-22 10:55:23,829] Trial 0 finished with value: 0.7208858902904077 and parameters: {'n_estimators': 1349, 'max_depth': 5, 'learning_rate': 0.06927735690302535, 'subsample': 0.6323043131786014, 'colsample_bytree': 0.8056417018257868, 'reg_alpha': 0.007836971046382113, 'reg_lambda': 1.3257845130295638, 'gamma': 1.7727613748972888, 'min_child_weight': 0.21073820294031162, 'tree_method': 'hist'}. Best is trial 0 with value: 0.7208858902904077. [TRIAL] #000 value=0.72089 | best=0.72089 | elapsed=9.3m | ETA~80.7m [I 2026-01-22 13:51:32,111] Trial 1 finished with value: 0.702485380116959 and parameters: {'n_estimators': 1671, 'max_depth': 8, 'learning_rate': 0.004348196854673387, 'subsample': 0.7566289204574015, 'colsample_bytree': 0.67063186367606, 'reg_alpha': 0.00046214799059887625, 'reg_lambda': 0.027092602800410644, 'gamma': 2.0004990680266572, 'min_child_weight': 2.987705156810535, 'tree_method': 'approx'}. Best is trial 0 with value: 0.7208858902904077. [TRIAL] #001 value=0.70249 | best=0.72089 | elapsed=185.4m | ETA~0.0m [DONE] XGB | pu | weighted | FB in 188.1 min best=0.72089 [WRITE] metrics_summary.csv updated [INFO] Auto-disabling calibration for PU run ET_pu_weighted_FB_64log_gc_tetra (use --force_calibration_pu to override). ------------------------------------------------------------------------ [RUN ] mode=pu | weights=weighted | metric=FB | model=ET | timeout=5400s | trials=30 [RUN ] run_id=ET_pu_weighted_FB_64log_gc_tetra | calibrate=False ------------------------------------------------------------------------ [I 2026-01-22 13:54:12,783] A new study created in memory with name: ET_pu_weighted_FB_64log_gc_tetra [I 2026-01-22 14:07:45,895] Trial 0 finished with value: 0.6544000578954986 and parameters: {'n_estimators': 1548, 'max_depth': 15, 'min_samples_split': 17, 'min_samples_leaf': 6, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 0 with value: 0.6544000578954986. [TRIAL] #000 value=0.65440 | best=0.65440 | elapsed=13.6m | ETA~76.4m [I 2026-01-22 14:22:43,944] Trial 1 finished with value: 0.5883206383750453 and parameters: {'n_estimators': 1532, 'max_depth': 9, 'min_samples_split': 8, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 0 with value: 0.6544000578954986. [TRIAL] #001 value=0.58832 | best=0.65440 | elapsed=28.5m | ETA~61.5m [I 2026-01-22 14:32:53,144] Trial 2 finished with value: 0.6021411085534729 and parameters: {'n_estimators': 943, 'max_depth': 10, 'min_samples_split': 5, 'min_samples_leaf': 10, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 0 with value: 0.6544000578954986. [TRIAL] #002 value=0.60214 | best=0.65440 | elapsed=38.7m | ETA~51.3m [I 2026-01-22 14:48:33,844] Trial 3 finished with value: 0.5446850610091238 and parameters: {'n_estimators': 1458, 'max_depth': 7, 'min_samples_split': 19, 'min_samples_leaf': 9, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 0 with value: 0.6544000578954986. [TRIAL] #003 value=0.54469 | best=0.65440 | elapsed=54.4m | ETA~35.6m [I 2026-01-22 15:03:24,329] Trial 4 finished with value: 0.6129466817923993 and parameters: {'n_estimators': 1654, 'max_depth': 11, 'min_samples_split': 7, 'min_samples_leaf': 11, 'max_features': 'sqrt', 'class_weight': None}. Best is trial 0 with value: 0.6544000578954986. [TRIAL] #004 value=0.61295 | best=0.65440 | elapsed=69.2m | ETA~20.8m [I 2026-01-22 15:14:01,884] Trial 5 finished with value: 0.6490940803758943 and parameters: {'n_estimators': 1152, 'max_depth': 17, 'min_samples_split': 13, 'min_samples_leaf': 9, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 0 with value: 0.6544000578954986. [TRIAL] #005 value=0.64909 | best=0.65440 | elapsed=79.8m | ETA~10.2m [I 2026-01-22 15:25:47,311] Trial 6 finished with value: 0.5684852421158981 and parameters: {'n_estimators': 1059, 'max_depth': 8, 'min_samples_split': 20, 'min_samples_leaf': 3, 'max_features': 'sqrt', 'class_weight': 'balanced'}. Best is trial 0 with value: 0.6544000578954986. [TRIAL] #006 value=0.56849 | best=0.65440 | elapsed=91.6m | ETA~0.0m [DONE] ET | pu | weighted | FB in 95.2 min best=0.65440 [WRITE] metrics_summary.csv updated [DONE] Saved artifacts to /TomaszLab/tRNA/Modele_final/results_models [?2004h(models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 Mass_models.py --ndjson split_dataset/subset01/ --supp2 Supp2.xlsx --supp1 Supp1.csv --outdir . --train_mode both --weight_mode both --model all --metric all --n_trials 30 --timeout 5400results_models --train_mode both --weight_mode both --model all --metric all --n_trials 30 --timeout 5400  (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 Mass_models.py --ndjson split_dataset/subset01/ --supp2 Supp2.xlsx --supp1 Supp1.csv --outdir .  (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 Mass_models.py --ndjson split_dataset/subset01/ --supp2 Supp2.xlsx --supp1 Supp1.csv --outdir . --train_mode both --weight_mode both --model all --metric all --n_trials 30 --timeout 5400 (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ exit [?2004l exit [?2004h(base) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ [?2004l [?2004h(base) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ export OMP_NUM_THREADS=1 [?2004l [?2004h(base) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ export OPENBLAS_NUM_THREADS=1 [?2004l [?2004h(base) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ export MKL_NUM_THREADS=1 [?2004l [?2004h(base) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ export NUMEXPR_NUM_THREADS=1 [?2004l [?2004h(base) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$  [?2004l [?2004h(base) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ FEATURE_COLS="results_models/feature_columns_64log_gc_tetra.json" [?2004l [?2004h(base) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ GENOMES_DIR="/TomaszLab/tRNA/UHGG_genomes" [?2004l [?2004h(base) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ ARAGORN_BIN="aragorn" [?2004l [?2004h(base) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ arag gorn [?2004l Command 'aragorn' not found, but can be installed with: apt install aragorn Please ask your administrator. [?2004h(base) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ conda activate modele      trna_p (base) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ conda activate trna_pipenie_    line_env [?2004l [?2004h(trna_pipeline_env) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ aragorn         for MODEL in results_models/model_*.joblib; do [?2004l [?2004h> BASENAME="$(basename "$MODEL" .joblib)" [?2004l [?2004h> OUT="predictions/${BASENAME}_UHGG.csv" [?2004l [?2004h> [?2004l [?2004h> echo "[RUN] $MODEL -> $OUT" [?2004l [?2004h> python3 Predict_folder.py \ [?2004l [?2004h> --genomes_dir "$GENOMES_DIR" \ [?2004l [?2004h> --model_path "$MODEL" \ [?2004l [?2004h> --feature_cols "$FEATURE_COLS" \ [?2004l [?2004h> --output_csv "$OUT" \ [?2004l [?2004h> --aragorn "$ARAGORN_BIN" [?2004l [?2004h> done [?2004l [RUN] results_models/model_ET_pu_normal_F1_64log_gc_tetra.joblib -> predictions/model_ET_pu_normal_F1_64log_gc_tetra_UHGG.csv python3: can't open file '/TomaszLab/tRNA/Modele_final/Predict_folder.py': [Errno 2] No such file or directory [RUN] results_models/model_ET_pu_normal_FB_64log_gc_tetra.joblib -> predictions/model_ET_pu_normal_FB_64log_gc_tetra_UHGG.csv python3: can't open file '/TomaszLab/tRNA/Modele_final/Predict_folder.py': [Errno 2] No such file or directory [RUN] results_models/model_ET_pu_normal_PR_AUC_64log_gc_tetra.joblib -> predictions/model_ET_pu_normal_PR_AUC_64log_gc_tetra_UHGG.csv python3: can't open file '/TomaszLab/tRNA/Modele_final/Predict_folder.py': [Errno 2] No such file or directory [RUN] results_models/model_ET_pu_weighted_F1_64log_gc_tetra.joblib -> predictions/model_ET_pu_weighted_F1_64log_gc_tetra_UHGG.csv python3: can't open file '/TomaszLab/tRNA/Modele_final/Predict_folder.py': [Errno 2] No such file or directory [RUN] results_models/model_ET_pu_weighted_FB_64log_gc_tetra.joblib -> predictions/model_ET_pu_weighted_FB_64log_gc_tetra_UHGG.csv python3: can't open file '/TomaszLab/tRNA/Modele_final/Predict_folder.py': [Errno 2] No such file or directory [RUN] results_models/model_ET_pu_weighted_PR_AUC_64log_gc_tetra.joblib -> predictions/model_ET_pu_weighted_PR_AUC_64log_gc_tetra_UHGG.csv python3: can't open file '/TomaszLab/tRNA/Modele_final/Predict_folder.py': [Errno 2] No such file or directory [RUN] results_models/model_ET_supervised_normal_F1_64log_gc_tetra.joblib -> predictions/model_ET_supervised_normal_F1_64log_gc_tetra_UHGG.csv python3: can't open file '/TomaszLab/tRNA/Modele_final/Predict_folder.py': [Errno 2] No such file or directory [RUN] results_models/model_ET_supervised_normal_FB_64log_gc_tetra.joblib -> predictions/model_ET_supervised_normal_FB_64log_gc_tetra_UHGG.csv python3: can't open file '/TomaszLab/tRNA/Modele_final/Predict_folder.py': [Errno 2] No such file or directory [RUN] results_models/model_ET_supervised_normal_PR_AUC_64log_gc_tetra.joblib -> predictions/model_ET_supervised_normal_PR_AUC_64log_gc_tetra_UHGG.csv python3: can't open file '/TomaszLab/tRNA/Modele_final/Predict_folder.py': [Errno 2] No such file or directory [RUN] results_models/model_ET_supervised_weighted_F1_64log_gc_tetra.joblib -> predictions/model_ET_supervised_weighted_F1_64log_gc_tetra_UHGG.csv python3: can't open file '/TomaszLab/tRNA/Modele_final/Predict_folder.py': [Errno 2] No such file or directory [RUN] results_models/model_ET_supervised_weighted_FB_64log_gc_tetra.joblib -> predictions/model_ET_supervised_weighted_FB_64log_gc_tetra_UHGG.csv python3: can't open file '/TomaszLab/tRNA/Modele_final/Predict_folder.py': [Errno 2] No such file or directory [RUN] results_models/model_ET_supervised_weighted_PR_AUC_64log_gc_tetra.joblib -> predictions/model_ET_supervised_weighted_PR_AUC_64log_gc_tetra_UHGG.csv python3: can't open file '/TomaszLab/tRNA/Modele_final/Predict_folder.py': [Errno 2] No such file or directory [RUN] results_models/model_RF_pu_normal_F1_64log_gc_tetra.joblib -> predictions/model_RF_pu_normal_F1_64log_gc_tetra_UHGG.csv python3: can't open file '/TomaszLab/tRNA/Modele_final/Predict_folder.py': [Errno 2] No such file or directory [RUN] results_models/model_RF_pu_normal_FB_64log_gc_tetra.joblib -> predictions/model_RF_pu_normal_FB_64log_gc_tetra_UHGG.csv python3: can't open file '/TomaszLab/tRNA/Modele_final/Predict_folder.py': [Errno 2] No such file or directory [RUN] results_models/model_RF_pu_normal_PR_AUC_64log_gc_tetra.joblib -> predictions/model_RF_pu_normal_PR_AUC_64log_gc_tetra_UHGG.csv python3: can't open file '/TomaszLab/tRNA/Modele_final/Predict_folder.py': [Errno 2] No such file or directory [RUN] results_models/model_RF_pu_weighted_F1_64log_gc_tetra.joblib -> predictions/model_RF_pu_weighted_F1_64log_gc_tetra_UHGG.csv python3: can't open file '/TomaszLab/tRNA/Modele_final/Predict_folder.py': [Errno 2] No such file or directory [RUN] results_models/model_RF_pu_weighted_FB_64log_gc_tetra.joblib -> predictions/model_RF_pu_weighted_FB_64log_gc_tetra_UHGG.csv python3: can't open file '/TomaszLab/tRNA/Modele_final/Predict_folder.py': [Errno 2] No such file or directory [RUN] results_models/model_RF_pu_weighted_PR_AUC_64log_gc_tetra.joblib -> predictions/model_RF_pu_weighted_PR_AUC_64log_gc_tetra_UHGG.csv python3: can't open file '/TomaszLab/tRNA/Modele_final/Predict_folder.py': [Errno 2] No such file or directory [RUN] results_models/model_RF_supervised_normal_F1_64log_gc_tetra.joblib -> predictions/model_RF_supervised_normal_F1_64log_gc_tetra_UHGG.csv python3: can't open file '/TomaszLab/tRNA/Modele_final/Predict_folder.py': [Errno 2] No such file or directory [RUN] results_models/model_RF_supervised_normal_FB_64log_gc_tetra.joblib -> predictions/model_RF_supervised_normal_FB_64log_gc_tetra_UHGG.csv python3: can't open file '/TomaszLab/tRNA/Modele_final/Predict_folder.py': [Errno 2] No such file or directory [RUN] results_models/model_RF_supervised_normal_PR_AUC_64log_gc_tetra.joblib -> predictions/model_RF_supervised_normal_PR_AUC_64log_gc_tetra_UHGG.csv python3: can't open file '/TomaszLab/tRNA/Modele_final/Predict_folder.py': [Errno 2] No such file or directory [RUN] results_models/model_RF_supervised_weighted_F1_64log_gc_tetra.joblib -> predictions/model_RF_supervised_weighted_F1_64log_gc_tetra_UHGG.csv python3: can't open file '/TomaszLab/tRNA/Modele_final/Predict_folder.py': [Errno 2] No such file or directory [RUN] results_models/model_RF_supervised_weighted_FB_64log_gc_tetra.joblib -> predictions/model_RF_supervised_weighted_FB_64log_gc_tetra_UHGG.csv python3: can't open file '/TomaszLab/tRNA/Modele_final/Predict_folder.py': [Errno 2] No such file or directory [RUN] results_models/model_RF_supervised_weighted_PR_AUC_64log_gc_tetra.joblib -> predictions/model_RF_supervised_weighted_PR_AUC_64log_gc_tetra_UHGG.csv python3: can't open file '/TomaszLab/tRNA/Modele_final/Predict_folder.py': [Errno 2] No such file or directory [RUN] results_models/model_XGB_pu_normal_F1_64log_gc_tetra.joblib -> predictions/model_XGB_pu_normal_F1_64log_gc_tetra_UHGG.csv python3: can't open file '/TomaszLab/tRNA/Modele_final/Predict_folder.py': [Errno 2] No such file or directory [RUN] results_models/model_XGB_pu_normal_FB_64log_gc_tetra.joblib -> predictions/model_XGB_pu_normal_FB_64log_gc_tetra_UHGG.csv python3: can't open file '/TomaszLab/tRNA/Modele_final/Predict_folder.py': [Errno 2] No such file or directory [RUN] results_models/model_XGB_pu_normal_PR_AUC_64log_gc_tetra.joblib -> predictions/model_XGB_pu_normal_PR_AUC_64log_gc_tetra_UHGG.csv python3: can't open file '/TomaszLab/tRNA/Modele_final/Predict_folder.py': [Errno 2] No such file or directory [RUN] results_models/model_XGB_pu_weighted_F1_64log_gc_tetra.joblib -> predictions/model_XGB_pu_weighted_F1_64log_gc_tetra_UHGG.csv python3: can't open file '/TomaszLab/tRNA/Modele_final/Predict_folder.py': [Errno 2] No such file or directory [RUN] results_models/model_XGB_pu_weighted_FB_64log_gc_tetra.joblib -> predictions/model_XGB_pu_weighted_FB_64log_gc_tetra_UHGG.csv python3: can't open file '/TomaszLab/tRNA/Modele_final/Predict_folder.py': [Errno 2] No such file or directory [RUN] results_models/model_XGB_pu_weighted_PR_AUC_64log_gc_tetra.joblib -> predictions/model_XGB_pu_weighted_PR_AUC_64log_gc_tetra_UHGG.csv python3: can't open file '/TomaszLab/tRNA/Modele_final/Predict_folder.py': [Errno 2] No such file or directory [RUN] results_models/model_XGB_supervised_normal_F1_64log_gc_tetra.joblib -> predictions/model_XGB_supervised_normal_F1_64log_gc_tetra_UHGG.csv python3: can't open file '/TomaszLab/tRNA/Modele_final/Predict_folder.py': [Errno 2] No such file or directory [RUN] results_models/model_XGB_supervised_normal_FB_64log_gc_tetra.joblib -> predictions/model_XGB_supervised_normal_FB_64log_gc_tetra_UHGG.csv python3: can't open file '/TomaszLab/tRNA/Modele_final/Predict_folder.py': [Errno 2] No such file or directory [RUN] results_models/model_XGB_supervised_normal_PR_AUC_64log_gc_tetra.joblib -> predictions/model_XGB_supervised_normal_PR_AUC_64log_gc_tetra_UHGG.csv python3: can't open file '/TomaszLab/tRNA/Modele_final/Predict_folder.py': [Errno 2] No such file or directory [RUN] results_models/model_XGB_supervised_weighted_F1_64log_gc_tetra.joblib -> predictions/model_XGB_supervised_weighted_F1_64log_gc_tetra_UHGG.csv python3: can't open file '/TomaszLab/tRNA/Modele_final/Predict_folder.py': [Errno 2] No such file or directory [RUN] results_models/model_XGB_supervised_weighted_FB_64log_gc_tetra.joblib -> predictions/model_XGB_supervised_weighted_FB_64log_gc_tetra_UHGG.csv python3: can't open file '/TomaszLab/tRNA/Modele_final/Predict_folder.py': [Errno 2] No such file or directory [RUN] results_models/model_XGB_supervised_weighted_PR_AUC_64log_gc_tetra.joblib -> predictions/model_XGB_supervised_weighted_PR_AUC_64log_gc_tetra_UHGG.csv python3: can't open file '/TomaszLab/tRNA/Modele_final/Predict_folder.py': [Errno 2] No such file or directory [?2004h(trna_pipeline_env) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ ls [?2004l 80_20_split_fixed.py Archea_codetta_genomes FEATURES_ALL.ndjson Mass_models.py Supp1.csv Supp2.xlsx metrics_summary.csv models_logs.txt predict_dir.py predictions results_models split_dataset weights_snapshot_test.tsv weights_snapshot_train.tsv [?2004h(trna_pipeline_env) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ lsfor MODEL in results_models/model_*.joblib; do BASENAME="$(basename "$MODEL" .joblib)"; OUT="predictions/${BASENAME}_UHGG.csv" echo "[RUN] $MODEL -> $OUT"; python3 Predict_folder.py --genomes_dir "$GENOMES_D DIR" --model_path "$MODEL" --feature_cols "$FEATURE_COLS" --output_csv "$OUT" --aragorn "$ARAGORN_BIN"; done  (trna_pipeline_env) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ for MODEL in results_models/model_*.joblib; do BASENAME="$(basename "$MODEL" .joblib)"; OUT="predictions/${BASENAME}_UHGG.csv" echo "[RUN] $MODEL -> $OUT"; python3 Predict_folder.py --genomes_dir "$py --genomespy --genomes_dir "$GENOMES_DI (trna_pipeline_env) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ for MODEL in results_models/model_*.joblib; do BASENAME="$(basename "$MODEL" .joblib)"; OUT="predictions/${BASENAME}_UHGG.csv" echo "[RUN] $MODEL -> $OUT"; python3 Predict_folder.p --genomes_dir "$GENOMES_DIR (trna_pipeline_env) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ for MODEL in results_models/model_*.joblib; do BASENAME="$(basename "$MODEL" .joblib)"; OUT="predictions/${BASENAME}_UHGG.csv" echo "[RUN] $MODEL -> $OUT"; python3 Predict_folder. --genomes_dir "$GENOMES_DIR" (trna_pipeline_env) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ for MODEL in results_models/model_*.joblib; do BASENAME="$(basename "$MODEL" .joblib)"; OUT="predictions/${BASENAME}_UHGG.csv" echo "[RUN] $MODEL -> $OUT"; python3 Predict_folder --genomes_dir "$GENOMES_DIR"  (trna_pipeline_env) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ for MODEL in results_models/model_*.joblib; do BASENAME="$(basename "$MODEL" .joblib)"; OUT="predictions/${BASENAME}_UHGG.csv" echo "[RUN] $MODEL -> $OUT"; python3 Predict_folde --genomes_dir "$GENOMES_DIR"  (trna_pipeline_env) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ for MODEL in results_models/model_*.joblib; do BASENAME="$(basename "$MODEL" .joblib)"; OUT="predictions/${BASENAME}_UHGG.csv" echo "[RUN] $MODEL -> $OUT"; python3 Predict_fold --genomes_dir "$GENOMES_DIR"  (trna_pipeline_env) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ for MODEL in results_models/model_*.joblib; do BASENAME="$(basename "$MODEL" .joblib)"; OUT="predictions/${BASENAME}_UHGG.csv" echo "[RUN] $MODEL -> $OUT"; python3 Predict_fol --genomes_dir "$GENOMES_DIR"  (trna_pipeline_env) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ for MODEL in results_models/model_*.joblib; do BASENAME="$(basename "$MODEL" .joblib)"; OUT="predictions/${BASENAME}_UHGG.csv" echo "[RUN] $MODEL -> $OUT"; python3 Predict_fo --genomes_dir "$GENOMES_DIR"  (trna_pipeline_env) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ for MODEL in results_models/model_*.joblib; do BASENAME="$(basename "$MODEL" .joblib)"; OUT="predictions/${BASENAME}_UHGG.csv" echo "[RUN] $MODEL -> $OUT"; python3 Predict_f --genomes_dir "$GENOMES_DIR" -- (trna_pipeline_env) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ for MODEL in results_models/model_*.joblib; do BASENAME="$(basename "$MODEL" .joblib)"; OUT="predictions/${BASENAME}_UHGG.csv" echo "[RUN] $MODEL -> $OUT"; python3 Predict_ --genomes_dir "$GENOMES_DIR" -- (trna_pipeline_env) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ for MODEL in results_models/model_*.joblib; do BASENAME="$(basename "$MODEL" .joblib)"; OUT="predictions/${BASENAME}_UHGG.csv" echo "[RUN] $MODEL -> $OUT"; python3 Predict --genomes_dir "$GENOMES_DIR" -  (trna_pipeline_env) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ for MODEL in results_models/model_*.joblib; do BASENAME="$(basename "$MODEL" .joblib)"; OUT="predictions/${BASENAME}_UHGG.csv" echo "[RUN] $MODEL -> $OUT"; python3 Predic --genomes_dir "$GENOMES_DIR" --mo (trna_pipeline_env) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ for MODEL in results_models/model_*.joblib; do BASENAME="$(basename "$MODEL" .joblib)"; OUT="predictions/${BASENAME}_UHGG.csv" echo "[RUN] $MODEL -> $OUT"; python3 Predi --genomes_dir "$GENOMES_DIR" --mod (trna_pipeline_env) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ for MODEL in results_models/model_*.joblib; do BASENAME="$(basename "$MODEL" .joblib)"; OUT="predictions/${BASENAME}_UHGG.csv" echo "[RUN] $MODEL -> $OUT"; python3 Pred --genomes_dir "$GENOMES_DIR" --mode (trna_pipeline_env) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ for MODEL in results_models/model_*.joblib; do BASENAME="$(basename "$MODEL" .joblib)"; OUT="predictions/${BASENAME}_UHGG.csv" echo "[RUN] $MODEL -> $OUT"; python3 Pre --genomes_dir "$GENOMES_DIR" --model (trna_pipeline_env) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ for MODEL in results_models/model_*.joblib; do BASENAME="$(basename "$MODEL" .joblib)"; OUT="predictions/${BASENAME}_UHGG.csv" echo "[RUN] $MODEL -> $OUT"; python3 Pr --genomes_dir "$GENOMES_DIR" --model_ (trna_pipeline_env) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ for MODEL in results_models/model_*.joblib; do BASENAME="$(basename "$MODEL" .joblib)"; OUT="predictions/${BASENAME}_UHGG.csv" echo "[RUN] $MODEL -> $OUT"; python3 P --genomes_dir "$GENOMES_DIR" --model_p (trna_pipeline_env) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ for MODEL in results_models/model_*.joblib; do BASENAME="$(basename "$MODEL" .joblib)"; OUT="predictions/${BASENAME}_UHGG.csv" echo "[RUN] $MODEL -> $OUT"; python3 p --genomes_dir "$GENOMES_DIR" --model_[1@p (trna_pipeline_env) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ for MODEL in results_models/model_*.joblib; do BASENAME="$(basename "$MODEL" .joblib)"; OUT="predictions/${BASENAME}_UHGG.csv" echo "[RUN] $MODEL -> $OUT"; python3 pr --genomes_dir "$GENOMES_DIR" --model[1@_ (trna_pipeline_env) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ for MODEL in results_models/model_*.joblib; do BASENAME="$(basename "$MODEL" .joblib)"; OUT="predictions/${BASENAME}_UHGG.csv" echo "[RUN] $MODEL -> $OUT"; python3 pre --genomes_dir "$GENOMES_DIR" --mode[1@l (trna_pipeline_env) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ for MODEL in results_models/model_*.joblib; do BASENAME="$(basename "$MODEL" .joblib)"; OUT="predictions/${BASENAME}_UHGG.csv" echo "[RUN] $MODEL -> $OUT"; python3 predict --genomes_dir "$GENOMES_DIR" --[4@mode (trna_pipeline_env) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ for MODEL in results_models/model_*.joblib; do BASENAME="$(basename "$MODEL" .joblib)"; OUT="predictions/${BASENAME}_UHGG.csv" echo "[RUN] $MODEL -> $OUT"; python3 predict_ --genomes_dir "$GENOMES_DIR" -[1@- (trna_pipeline_env) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ for MODEL in results_models/model_*.joblib; do BASENAME="$(basename "$MODEL" .joblib)"; OUT="predictions/${BASENAME}_UHGG.csv" echo "[RUN] $MODEL -> $OUT"; python3 predict_d --genomes_dir "$GENOMES_DIR" -[1@- (trna_pipeline_env) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ for MODEL in results_models/model_*.joblib; do BASENAME="$(basename "$MODEL" .joblib)"; OUT="predictions/${BASENAME}_UHGG.csv" echo "[RUN] $MODEL -> $OUT"; python3 predict_dir.py --genomes_dir "$GENOMES_DIR"[5@  (trna_pipeline_env) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ for MODEL in results_models/model_*.joblib; do BASENAME="$(basename "$MODEL" .joblib)"; OUT="predictions/${BASENAME}_UHGG.csv" echo "[RUN] $MODEL -> $OUT"; python3 predict_dir.py [?2004l [RUN] results_models/model_ET_pu_normal_F1_64log_gc_tetra.joblib -> predictions/model_XGB_supervised_weighted_PR_AUC_64log_gc_tetra_UHGG.csv Traceback (most recent call last): File "/TomaszLab/tRNA/Modele_final/predict_dir.py", line 300, in main() File "/TomaszLab/tRNA/Modele_final/predict_dir.py", line 247, in main model = joblib_load(args.model_path) File "/home/MakarDoro/miniconda3/envs/trna_pipeline_env/lib/python3.10/site-packages/joblib/numpy_pickle.py", line 749, in load obj = _unpickle( File "/home/MakarDoro/miniconda3/envs/trna_pipeline_env/lib/python3.10/site-packages/joblib/numpy_pickle.py", line 626, in _unpickle obj = unpickler.load() File "/home/MakarDoro/miniconda3/envs/trna_pipeline_env/lib/python3.10/pickle.py", line 1213, in load dispatch[key[0]](self) File "/home/MakarDoro/miniconda3/envs/trna_pipeline_env/lib/python3.10/pickle.py", line 1538, in load_stack_global self.append(self.find_class(module, name)) File "/home/MakarDoro/miniconda3/envs/trna_pipeline_env/lib/python3.10/pickle.py", line 1582, in find_class return _getattribute(sys.modules[module], name)[0] File "/home/MakarDoro/miniconda3/envs/trna_pipeline_env/lib/python3.10/pickle.py", line 331, in _getattribute raise AttributeError("Can't get attribute {!r} on {!r}" AttributeError: Can't get attribute 'PUBaggingClassifier' on [RUN] results_models/model_ET_pu_normal_FB_64log_gc_tetra.joblib -> predictions/model_XGB_supervised_weighted_PR_AUC_64log_gc_tetra_UHGG.csv Traceback (most recent call last): File "/TomaszLab/tRNA/Modele_final/predict_dir.py", line 300, in main() File "/TomaszLab/tRNA/Modele_final/predict_dir.py", line 247, in main model = joblib_load(args.model_path) File "/home/MakarDoro/miniconda3/envs/trna_pipeline_env/lib/python3.10/site-packages/joblib/numpy_pickle.py", line 749, in load obj = _unpickle( File "/home/MakarDoro/miniconda3/envs/trna_pipeline_env/lib/python3.10/site-packages/joblib/numpy_pickle.py", line 626, in _unpickle obj = unpickler.load() File "/home/MakarDoro/miniconda3/envs/trna_pipeline_env/lib/python3.10/pickle.py", line 1213, in load dispatch[key[0]](self) File "/home/MakarDoro/miniconda3/envs/trna_pipeline_env/lib/python3.10/pickle.py", line 1538, in load_stack_global self.append(self.find_class(module, name)) File "/home/MakarDoro/miniconda3/envs/trna_pipeline_env/lib/python3.10/pickle.py", line 1582, in find_class return _getattribute(sys.modules[module], name)[0] File "/home/MakarDoro/miniconda3/envs/trna_pipeline_env/lib/python3.10/pickle.py", line 331, in _getattribute raise AttributeError("Can't get attribute {!r} on {!r}" AttributeError: Can't get attribute 'PUBaggingClassifier' on [RUN] results_models/model_ET_pu_normal_PR_AUC_64log_gc_tetra.joblib -> predictions/model_XGB_supervised_weighted_PR_AUC_64log_gc_tetra_UHGG.csv Traceback (most recent call last): File "/TomaszLab/tRNA/Modele_final/predict_dir.py", line 300, in main() File "/TomaszLab/tRNA/Modele_final/predict_dir.py", line 247, in main model = joblib_load(args.model_path) File "/home/MakarDoro/miniconda3/envs/trna_pipeline_env/lib/python3.10/site-packages/joblib/numpy_pickle.py", line 749, in load obj = _unpickle( File "/home/MakarDoro/miniconda3/envs/trna_pipeline_env/lib/python3.10/site-packages/joblib/numpy_pickle.py", line 626, in _unpickle obj = unpickler.load() File "/home/MakarDoro/miniconda3/envs/trna_pipeline_env/lib/python3.10/pickle.py", line 1213, in load dispatch[key[0]](self) File "/home/MakarDoro/miniconda3/envs/trna_pipeline_env/lib/python3.10/pickle.py", line 1538, in load_stack_global self.append(self.find_class(module, name)) File "/home/MakarDoro/miniconda3/envs/trna_pipeline_env/lib/python3.10/pickle.py", line 1582, in find_class return _getattribute(sys.modules[module], name)[0] File "/home/MakarDoro/miniconda3/envs/trna_pipeline_env/lib/python3.10/pickle.py", line 331, in _getattribute raise AttributeError("Can't get attribute {!r} on {!r}" AttributeError: Can't get attribute 'PUBaggingClassifier' on [RUN] results_models/model_ET_pu_weighted_F1_64log_gc_tetra.joblib -> predictions/model_XGB_supervised_weighted_PR_AUC_64log_gc_tetra_UHGG.csv Traceback (most recent call last): File "/TomaszLab/tRNA/Modele_final/predict_dir.py", line 300, in main() File "/TomaszLab/tRNA/Modele_final/predict_dir.py", line 247, in main model = joblib_load(args.model_path) File "/home/MakarDoro/miniconda3/envs/trna_pipeline_env/lib/python3.10/site-packages/joblib/numpy_pickle.py", line 749, in load obj = _unpickle( File "/home/MakarDoro/miniconda3/envs/trna_pipeline_env/lib/python3.10/site-packages/joblib/numpy_pickle.py", line 626, in _unpickle obj = unpickler.load() File "/home/MakarDoro/miniconda3/envs/trna_pipeline_env/lib/python3.10/pickle.py", line 1213, in load dispatch[key[0]](self) File "/home/MakarDoro/miniconda3/envs/trna_pipeline_env/lib/python3.10/pickle.py", line 1538, in load_stack_global self.append(self.find_class(module, name)) File "/home/MakarDoro/miniconda3/envs/trna_pipeline_env/lib/python3.10/pickle.py", line 1582, in find_class return _getattribute(sys.modules[module], name)[0] File "/home/MakarDoro/miniconda3/envs/trna_pipeline_env/lib/python3.10/pickle.py", line 331, in _getattribute raise AttributeError("Can't get attribute {!r} on {!r}" AttributeError: Can't get attribute 'PUBaggingClassifier' on [RUN] results_models/model_ET_pu_weighted_FB_64log_gc_tetra.joblib -> predictions/model_XGB_supervised_weighted_PR_AUC_64log_gc_tetra_UHGG.csv Traceback (most recent call last): File "/TomaszLab/tRNA/Modele_final/predict_dir.py", line 300, in main() File "/TomaszLab/tRNA/Modele_final/predict_dir.py", line 247, in main model = joblib_load(args.model_path) File "/home/MakarDoro/miniconda3/envs/trna_pipeline_env/lib/python3.10/site-packages/joblib/numpy_pickle.py", line 749, in load obj = _unpickle( File "/home/MakarDoro/miniconda3/envs/trna_pipeline_env/lib/python3.10/site-packages/joblib/numpy_pickle.py", line 626, in _unpickle obj = unpickler.load() File "/home/MakarDoro/miniconda3/envs/trna_pipeline_env/lib/python3.10/pickle.py", line 1213, in load dispatch[key[0]](self) File "/home/MakarDoro/miniconda3/envs/trna_pipeline_env/lib/python3.10/pickle.py", line 1538, in load_stack_global self.append(self.find_class(module, name)) File "/home/MakarDoro/miniconda3/envs/trna_pipeline_env/lib/python3.10/pickle.py", line 1582, in find_class return _getattribute(sys.modules[module], name)[0] File "/home/MakarDoro/miniconda3/envs/trna_pipeline_env/lib/python3.10/pickle.py", line 331, in _getattribute raise AttributeError("Can't get attribute {!r} on {!r}" AttributeError: Can't get attribute 'PUBaggingClassifier' on [RUN] results_models/model_ET_pu_weighted_PR_AUC_64log_gc_tetra.joblib -> predictions/model_XGB_supervised_weighted_PR_AUC_64log_gc_tetra_UHGG.csv ^CTraceback (most recent call last): File "/TomaszLab/tRNA/Modele_final/predict_dir.py", line 38, in import pandas as pd File "/home/MakarDoro/miniconda3/envs/trna_pipeline_env/lib/python3.10/site-packages/pandas/__init__.py", line 138, in from pandas.io.api import ( File "/home/MakarDoro/miniconda3/envs/trna_pipeline_env/lib/python3.10/site-packages/pandas/io/api.py", line 28, in from pandas.io.pytables import ( File "/home/MakarDoro/miniconda3/envs/trna_pipeline_env/lib/python3.10/site-packages/pandas/io/pytables.py", line 83, in from pandas.core.computation.pytables import ( File "/home/MakarDoro/miniconda3/envs/trna_pipeline_env/lib/python3.10/site-packages/pandas/core/computation/pytables.py", line 10, in from pandas._libs.tslibs import ( File "", line 1053, in _handle_fromlist KeyboardInterrupt [?2004h(trna_pipeline_env) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ conda activate modele [?2004l EnvironmentNameNotFound: Could not find conda environment: modele You can list all discoverable environments with `conda info --envs`. [?2004h(trna_pipeline_env) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ conda activate modele s [?2004l [?2004h(models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ conda activate modelsesls predict [?2004l ls: cannot access 'predict': No such file or directory [?2004h(models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ ls predict predict_dir.py predictions/ (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ ls predictions/ [?2004l [?2004h(models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ ls predictions/conda activate modelsefor MODEL in results_models/model_*.joblib; do BASENAME="$(basename "$MODEL" .joblib)"; OUT="predictions/${BASENAME}_UHGG.csv" echo "[RUN] $MODEL -> $OUT"; python3 predict_dir.py --genomes_dir "$GENOMES_DIR" --mode el_path "$MODEL" --feature_cols "$FEATURE_COLS" --output_csv "$OUT" --aragorn "$ARAGORN_BIN"; donels  (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ lsfor MODEL in results_models/model_*.joblib; do BASENAME="$(basename "$MODEL" .joblib)"; OUT="predictions/${BASENAME}_UHGG.csv" echo "[RUN] $MODEL -> $OUT"; python3 predict_dir.py --genomes_dir "$GENOMES_DIR" --mode el_path "$MODEL" --feature_cols "$FEATURE_COLS" --output_csv "$OUT" --aragorn "$ARAGORN_BIN"; done [?2004l [RUN] results_models/model_ET_pu_normal_F1_64log_gc_tetra.joblib -> predictions/model_XGB_supervised_weighted_PR_AUC_64log_gc_tetra_UHGG.csv Traceback (most recent call last): File "/TomaszLab/tRNA/Modele_final/predict_dir.py", line 300, in main() File "/TomaszLab/tRNA/Modele_final/predict_dir.py", line 247, in main model = joblib_load(args.model_path) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/joblib/numpy_pickle.py", line 749, in load obj = _unpickle( ^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/joblib/numpy_pickle.py", line 626, in _unpickle obj = unpickler.load() ^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/pickle.py", line 1213, in load dispatch[key[0]](self) File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/pickle.py", line 1538, in load_stack_global self.append(self.find_class(module, name)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/pickle.py", line 1582, in find_class return _getattribute(sys.modules[module], name)[0] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/pickle.py", line 331, in _getattribute raise AttributeError("Can't get attribute {!r} on {!r}" AttributeError: Can't get attribute 'PUBaggingClassifier' on [RUN] results_models/model_ET_pu_normal_FB_64log_gc_tetra.joblib -> predictions/model_XGB_supervised_weighted_PR_AUC_64log_gc_tetra_UHGG.csv Traceback (most recent call last): File "/TomaszLab/tRNA/Modele_final/predict_dir.py", line 300, in main() File "/TomaszLab/tRNA/Modele_final/predict_dir.py", line 247, in main model = joblib_load(args.model_path) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/joblib/numpy_pickle.py", line 749, in load obj = _unpickle( ^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/joblib/numpy_pickle.py", line 626, in _unpickle obj = unpickler.load() ^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/pickle.py", line 1213, in load dispatch[key[0]](self) File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/pickle.py", line 1538, in load_stack_global self.append(self.find_class(module, name)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/pickle.py", line 1582, in find_class return _getattribute(sys.modules[module], name)[0] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/pickle.py", line 331, in _getattribute raise AttributeError("Can't get attribute {!r} on {!r}" AttributeError: Can't get attribute 'PUBaggingClassifier' on [RUN] results_models/model_ET_pu_normal_PR_AUC_64log_gc_tetra.joblib -> predictions/model_XGB_supervised_weighted_PR_AUC_64log_gc_tetra_UHGG.csv Traceback (most recent call last): File "/TomaszLab/tRNA/Modele_final/predict_dir.py", line 300, in main() File "/TomaszLab/tRNA/Modele_final/predict_dir.py", line 247, in main model = joblib_load(args.model_path) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/joblib/numpy_pickle.py", line 749, in load obj = _unpickle( ^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/joblib/numpy_pickle.py", line 626, in _unpickle obj = unpickler.load() ^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/pickle.py", line 1213, in load dispatch[key[0]](self) File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/pickle.py", line 1538, in load_stack_global self.append(self.find_class(module, name)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/pickle.py", line 1582, in find_class return _getattribute(sys.modules[module], name)[0] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/pickle.py", line 331, in _getattribute raise AttributeError("Can't get attribute {!r} on {!r}" AttributeError: Can't get attribute 'PUBaggingClassifier' on [RUN] results_models/model_ET_pu_weighted_F1_64log_gc_tetra.joblib -> predictions/model_XGB_supervised_weighted_PR_AUC_64log_gc_tetra_UHGG.csv Traceback (most recent call last): File "/TomaszLab/tRNA/Modele_final/predict_dir.py", line 300, in main() File "/TomaszLab/tRNA/Modele_final/predict_dir.py", line 247, in main model = joblib_load(args.model_path) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/joblib/numpy_pickle.py", line 749, in load obj = _unpickle( ^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/joblib/numpy_pickle.py", line 626, in _unpickle obj = unpickler.load() ^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/pickle.py", line 1213, in load dispatch[key[0]](self) File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/pickle.py", line 1538, in load_stack_global self.append(self.find_class(module, name)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/pickle.py", line 1582, in find_class return _getattribute(sys.modules[module], name)[0] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/pickle.py", line 331, in _getattribute raise AttributeError("Can't get attribute {!r} on {!r}" AttributeError: Can't get attribute 'PUBaggingClassifier' on [RUN] results_models/model_ET_pu_weighted_FB_64log_gc_tetra.joblib -> predictions/model_XGB_supervised_weighted_PR_AUC_64log_gc_tetra_UHGG.csv Traceback (most recent call last): File "/TomaszLab/tRNA/Modele_final/predict_dir.py", line 300, in main() File "/TomaszLab/tRNA/Modele_final/predict_dir.py", line 247, in main model = joblib_load(args.model_path) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/joblib/numpy_pickle.py", line 749, in load obj = _unpickle( ^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/joblib/numpy_pickle.py", line 626, in _unpickle obj = unpickler.load() ^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/pickle.py", line 1213, in load dispatch[key[0]](self) File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/pickle.py", line 1538, in load_stack_global self.append(self.find_class(module, name)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/pickle.py", line 1582, in find_class return _getattribute(sys.modules[module], name)[0] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/pickle.py", line 331, in _getattribute raise AttributeError("Can't get attribute {!r} on {!r}" AttributeError: Can't get attribute 'PUBaggingClassifier' on [RUN] results_models/model_ET_pu_weighted_PR_AUC_64log_gc_tetra.joblib -> predictions/model_XGB_supervised_weighted_PR_AUC_64log_gc_tetra_UHGG.csv Traceback (most recent call last): File "/TomaszLab/tRNA/Modele_final/predict_dir.py", line 300, in main() File "/TomaszLab/tRNA/Modele_final/predict_dir.py", line 247, in main model = joblib_load(args.model_path) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/joblib/numpy_pickle.py", line 749, in load obj = _unpickle( ^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/joblib/numpy_pickle.py", line 626, in _unpickle obj = unpickler.load() ^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/pickle.py", line 1213, in load dispatch[key[0]](self) File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/pickle.py", line 1538, in load_stack_global self.append(self.find_class(module, name)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/pickle.py", line 1582, in find_class return _getattribute(sys.modules[module], name)[0] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/pickle.py", line 331, in _getattribute raise AttributeError("Can't get attribute {!r} on {!r}" AttributeError: Can't get attribute 'PUBaggingClassifier' on [RUN] results_models/model_ET_supervised_normal_F1_64log_gc_tetra.joblib -> predictions/model_XGB_supervised_weighted_PR_AUC_64log_gc_tetra_UHGG.csv ^CFatal Python error: init_import_site: Failed to import the site module Python runtime state: initialized Traceback (most recent call last): File "", line 1176, in _find_and_load File "", line 1147, in _find_and_load_unlocked File "", line 690, in _load_unlocked File "", line 980, in exec_module File "", line 626, in File "", line 613, in main File "", line 394, in addsitepackages File "", line 236, in addsitedir File "", line 195, in addpackage File "", line 1, in File "", line 1176, in _find_and_load File "", line 1138, in _find_and_load_unlocked File "", line 1078, in _find_spec File "", line 1507, in find_spec File "", line 1479, in _get_spec File "", line 1634, in find_spec KeyboardInterrupt [RUN] results_models/model_ET_supervised_normal_FB_64log_gc_tetra.joblib -> predictions/model_XGB_supervised_weighted_PR_AUC_64log_gc_tetra_UHGG.csv ^CTraceback (most recent call last): File "/TomaszLab/tRNA/Modele_final/predict_dir.py", line 300, in main() File "/TomaszLab/tRNA/Modele_final/predict_dir.py", line 247, in main model = joblib_load(args.model_path) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/joblib/numpy_pickle.py", line 749, in load obj = _unpickle( ^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/joblib/numpy_pickle.py", line 626, in _unpickle obj = unpickler.load() ^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/pickle.py", line 1213, in load dispatch[key[0]](self) File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/joblib/numpy_pickle.py", line 462, in load_build _array_payload = array_wrapper.read(self, self.ensure_native_byte_order) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/joblib/numpy_pickle.py", line 284, in read array = self.read_array(unpickler, ensure_native_byte_order) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/joblib/numpy_pickle.py", line 197, in read_array data = _read_bytes(unpickler.file_handle, read_size, "array data") ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/MakarDoro/miniconda3/envs/models/lib/python3.11/site-packages/joblib/numpy_pickle_utils.py", line 266, in _read_bytes r = fp.read(size - len(data)) ^^^^^^^^^^^^^^^^^^^^^^^^^ KeyboardInterrupt [?2004h(models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ for MODEL in results_models/model_*.joblib; do BASENAME="$(basename "$MODEL" .joblib)"; OUT="predictions/${BASENAME}_UHGG.csv" echo "[RUN] $MODEL -> $OUT"; python3 predict_dir.py --genomes_dir "$GENOMES_DIR" --mode el_path "$MODEL" --feature_cols "$FEATURE_COLS" --output_csv "$OUT" --aragorn "$ARAGORN_BIN"; done  (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ ls [?2004l 80_20_split_fixed.py Archea_codetta_genomes FEATURES_ALL.ndjson Mass_models.py Supp1.csv Supp2.xlsx metrics_summary.csv models_logs.txt predict_dir.py predictions results_models split_dataset weights_snapshot_test.tsv weights_snapshot_train.tsv [?2004h(models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ rm predictions/ [?2004l rm: cannot remove 'predictions/': Is a directory [?2004h(models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ rm predictions/[1@-[1@r[1@ [?2004l [?2004h(models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ rm predict_dir.py [?2004l [?2004h(models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ ls [?2004l 80_20_split_fixed.py Archea_codetta_genomes FEATURES_ALL.ndjson Mass_models.py Supp1.csv Supp2.xlsx metrics_summary.csv models_logs.txt results_models split_dataset weights_snapshot_test.tsv weights_snapshot_train.tsv [?2004h(models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ vim predict_dir.py [?2004l [?1049h[>4;2m[?1h=[?2004h[?1004h[?12h[?12l[?25l"predict_dir.py" [New]½ Pzz\[0%m [>c]10;?]11;?~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ 0,0-1All[?25h[?25l~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ 0,0-1All "predict_dir.py" [New][?25h[?25lE348: No string under cursor0,0-1All[?25h[?25l/usr/bin/env python3 /usr search hit BOTTOM, continuing at TOP E486: Pattern not found: usr0,0-1All[?25h[?25l348: No string under curso0,0-1All[?25h[?25l0,0-1All[?25h[?25lAlready at oldest change0,0-1All[?25h[?25lE348: No string under cursor0,0-1All[?25h[?25l~B1,1 [?25h[?25le[?25h[?25l0-1[?25h[?25l-- INSERT --1,1All             cols_show = ["model", "elapsed_min", "n_genomes", "pred_pos_frac", "pr_auc", "roc_auc", "y_true_pos"]            print(df_sum[cols_show].head(15).to_string(index=False))            print("="*80)            print("[DONE]")            if __name__ == "__main__":            main()            521,3357 Bot[?25h[?25l^[ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ 521,0-1Bot[?25h[?25l^[ ^[ [?25h[?25l::[?25hq! [?25l[?2004l[>4;m[?1004l[?2004l[?1l>[?25h[>4;m[?1049l[?2004h(models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ exit [?2004l exit [?2004h(base) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ conda activate models [?2004l [?2004h(models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_models_dir.py \ [?2004l [?2004h> --genomes_dir /TomaszLab/tRNA/UHGG_genomes \ [?2004l [?2004h> --models_dir /TomaszLab/tRNA/Modele_final/results_models \ [?2004l [?2004h> --outdir /TomaszLab/tRNA/Modele_final/predictions \ [?2004l [?2004h> --aragorn aragorn \ [?2004l [?2004h> --threads 1 \ [?2004l [?2004h> --reuse_aragorn [?2004l python3: can't open file '/TomaszLab/tRNA/Modele_final/predict_models_dir.py': [Errno 2] No such file or directory [?2004h(models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_models_dir.py --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions --aragorn aragorn --threads 1 --reuse_aragorn  (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_models_dir.py --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions --aragorn aragorn --py --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions --aragorn aragorn --threads  (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_models_dir.p --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions --aragorn aragorn --threads  (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_models_dir. --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions --aragorn aragorn --threads 1 (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_models_dir --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions --aragorn aragorn --threads 1  (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_models_di --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions --aragorn aragorn --threads 1  (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_models_d --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions --aragorn aragorn --threads 1  (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_models_ --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions --aragorn aragorn --threads 1 -- (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_models --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions --aragorn aragorn --threads 1 -- (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_model --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions --aragorn aragorn --threads 1 -  (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_mode --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions --aragorn aragorn --threads 1 --re (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_mod --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions --aragorn aragorn --threads 1 --reu (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_mo --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions --aragorn aragorn --threads 1 --reus (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_m --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions --aragorn aragorn --threads 1 --reuse (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_ --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions --aragorn aragorn --threads 1 --reuse_ (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_ --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions --aragorn aragorn --threads 1 --reuse[1@_ (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_dir.py --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions --aragorn aragorn --threads 1 -[6@-reuse (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_dir.py [?2004l [INFO] Genomes: 4744 in /TomaszLab/tRNA/UHGG_genomes [INFO] Models : 36 in /TomaszLab/tRNA/Modele_final/results_models [INFO] Outdir : /TomaszLab/tRNA/Modele_final/predictions ================================================================================ [1/36] MODEL: model_ET_pu_normal_F1_64log_gc_tetra.joblib FEAT : feature_columns_64log_gc_tetra.json ================================================================================ [FEAT] 1/4744 MGYG000000001.fna [FEAT] 50/4744 MGYG000000050.fna [FEAT] 100/4744 MGYG000000100.fna [FEAT] 150/4744 MGYG000000150.fna [FEAT] 200/4744 MGYG000000200.fna [FEAT] 250/4744 MGYG000000250.fna [FEAT] 300/4744 MGYG000000300.fna [FEAT] 350/4744 MGYG000000354.fna [FEAT] 400/4744 MGYG000000404.fna [FEAT] 450/4744 MGYG000000455.fna [FEAT] 500/4744 MGYG000000505.fna [FEAT] 550/4744 MGYG000000555.fna [FEAT] 600/4744 MGYG000000606.fna [FEAT] 650/4744 MGYG000000657.fna [FEAT] 700/4744 MGYG000000708.fna [FEAT] 750/4744 MGYG000000758.fna [FEAT] 800/4744 MGYG000000811.fna [FEAT] 850/4744 MGYG000000868.fna [FEAT] 900/4744 MGYG000000926.fna [FEAT] 950/4744 MGYG000000979.fna [FEAT] 1000/4744 MGYG000001031.fna [FEAT] 1050/4744 MGYG000001085.fna [FEAT] 1100/4744 MGYG000001139.fna [FEAT] 1150/4744 MGYG000001192.fna [FEAT] 1200/4744 MGYG000001246.fna [FEAT] 1250/4744 MGYG000001297.fna [FEAT] 1300/4744 MGYG000001347.fna [FEAT] 1350/4744 MGYG000001397.fna ^CTraceback (most recent call last): File "/TomaszLab/tRNA/Modele_final/predict_dir.py", line 524, in main() File "/TomaszLab/tRNA/Modele_final/predict_dir.py", line 397, in main acc, feats = build_features_for_genome( ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/TomaszLab/tRNA/Modele_final/predict_dir.py", line 249, in build_features_for_genome feat_gc_tetra = calc_gc_and_tetra(fasta_path) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/TomaszLab/tRNA/Modele_final/predict_dir.py", line 175, in calc_gc_and_tetra G += 1 ^ KeyboardInterrupt [?2004h(models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ rm -r predictions/ [?2004l [?2004h(models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ rm predict_dir.py [?2004l [?2004h(models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ ls [?2004l 80_20_split_fixed.py Archea_codetta_genomes FEATURES_ALL.ndjson Mass_models.py Supp1.csv Supp2.xlsx genomes-all_metadata_with_genetic_code_id_noNA.tsv metrics_summary.csv models_logs.txt results_models split_dataset weights_snapshot_test.tsv weights_snapshot_train.tsv [?2004h(models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_models_dir_with_truth.py \ [?2004l [?2004h> --genomes_dir /TomaszLab/tRNA/UHGG_genomes \ [?2004l [?2004h> --models_dir /TomaszLab/tRNA/Modele_final/results_models \ [?2004l [?2004h> --outdir /TomaszLab/tRNA/Modele_final/predictions_truth \ [?2004l [?2004h> --aragorn aragorn \ [?2004l [?2004h> --reuse_aragorn \ [?2004l [?2004h> --truth_tsv /TomaszLab/tRNA/Modele_final/genomes-all_metadata_with_genetic_code_id_noNA.tsv [?2004l python3: can't open file '/TomaszLab/tRNA/Modele_final/predict_models_dir_with_truth.py': [Errno 2] No such file or directory [?2004h(models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_models_dir_with_truth.py --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions_truth --aragorn arago orn --reuse_aragorn --truth_tsv /TomaszLab/tRNA/Modele_final/genomes-all_metadata_with_genetic_code_id_noNA.tsv (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_models_dir_with_truth.py --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions_truth --aragorn truth.py --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions_truth --aragorn aragor (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_models_dir_with_truth.p --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions_truth --aragorn aragorn (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_models_dir_with_truth. --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions_truth --aragorn aragorn  (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_models_dir_with_truth --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions_truth --aragorn aragorn  (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_models_dir_with_trut --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions_truth --aragorn aragorn  (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_models_dir_with_tru --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions_truth --aragorn aragorn -- (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_models_dir_with_tr --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions_truth --aragorn aragorn -- (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_models_dir_with_t --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions_truth --aragorn aragorn -  (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_models_dir_with_ --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions_truth --aragorn aragorn --re (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_models_dir_with --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions_truth --aragorn aragorn --reu (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_models_dir_wit --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions_truth --aragorn aragorn --reus (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_models_dir_wi --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions_truth --aragorn aragorn --reuse (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_models_dir_w --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions_truth --aragorn aragorn --reuse_ (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_models_dir_ --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions_truth --aragorn aragorn --reuse_a (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_models_dir --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions_truth --aragorn aragorn --reuse_ar (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_models_di --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions_truth --aragorn aragorn --reuse_ara (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_models_d --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions_truth --aragorn aragorn --reuse_arag (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_models_ --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions_truth --aragorn aragorn --reuse_arago (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_models --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions_truth --aragorn aragorn --reuse_aragor (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_model --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions_truth --aragorn aragorn --reuse_aragorn (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_mode --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions_truth --aragorn aragorn --reuse_aragorn  (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_mod --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions_truth --aragorn aragorn --reuse_aragorn  (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_mo --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions_truth --aragorn aragorn --reuse_aragorn  (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_m --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions_truth --aragorn aragorn --reuse_aragorn -- (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_dir.py --genomes_dir /TomaszLab/tRNA/UHGG_genomes --models_dir /TomaszLab/tRNA/Modele_final/results_models --outdir /TomaszLab/tRNA/Modele_final/predictions_truth --aragorn aragorn --reuse_arago[6@rn - (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ python3 predict_dir.py [?2004l [INFO] Genomes: 4744 in /TomaszLab/tRNA/UHGG_genomes [INFO] Models : 36 in /TomaszLab/tRNA/Modele_final/results_models [INFO] Truth : /TomaszLab/tRNA/Modele_final/genomes-all_metadata_with_genetic_code_id_noNA.tsv [INFO] FeatCols: /TomaszLab/tRNA/Modele_final/results_models/feature_columns_64log_gc_tetra.json [FEAT] 1/4744 MGYG000000001.fna [FEAT] 50/4744 MGYG000000050.fna [FEAT] 100/4744 MGYG000000100.fna [FEAT] 150/4744 MGYG000000150.fna [FEAT] 200/4744 MGYG000000200.fna [FEAT] 250/4744 MGYG000000250.fna [FEAT] 300/4744 MGYG000000300.fna [FEAT] 350/4744 MGYG000000354.fna [FEAT] 400/4744 MGYG000000404.fna [FEAT] 450/4744 MGYG000000455.fna [FEAT] 500/4744 MGYG000000505.fna [FEAT] 550/4744 MGYG000000555.fna [FEAT] 600/4744 MGYG000000606.fna [FEAT] 650/4744 MGYG000000657.fna [FEAT] 700/4744 MGYG000000708.fna [FEAT] 750/4744 MGYG000000758.fna [FEAT] 800/4744 MGYG000000811.fna [FEAT] 850/4744 MGYG000000868.fna [FEAT] 900/4744 MGYG000000926.fna [FEAT] 950/4744 MGYG000000979.fna [FEAT] 1000/4744 MGYG000001031.fna [FEAT] 1050/4744 MGYG000001085.fna [FEAT] 1100/4744 MGYG000001139.fna [FEAT] 1150/4744 MGYG000001192.fna [FEAT] 1200/4744 MGYG000001246.fna [FEAT] 1250/4744 MGYG000001297.fna [FEAT] 1300/4744 MGYG000001347.fna [FEAT] 1350/4744 MGYG000001397.fna [FEAT] 1400/4744 MGYG000001447.fna [FEAT] 1450/4744 MGYG000001497.fna [FEAT] 1500/4744 MGYG000001547.fna [FEAT] 1550/4744 MGYG000001597.fna [FEAT] 1600/4744 MGYG000001647.fna [FEAT] 1650/4744 MGYG000001699.fna [FEAT] 1700/4744 MGYG000001757.fna [FEAT] 1750/4744 MGYG000001808.fna [FEAT] 1800/4744 MGYG000001862.fna [FEAT] 1850/4744 MGYG000001915.fna [FEAT] 1900/4744 MGYG000001966.fna [FEAT] 1950/4744 MGYG000002021.fna [FEAT] 2000/4744 MGYG000002073.fna [FEAT] 2050/4744 MGYG000002126.fna [FEAT] 2100/4744 MGYG000002176.fna [FEAT] 2150/4744 MGYG000002229.fna [FEAT] 2200/4744 MGYG000002279.fna [FEAT] 2250/4744 MGYG000002329.fna [FEAT] 2300/4744 MGYG000002379.fna [FEAT] 2350/4744 MGYG000002429.fna [FEAT] 2400/4744 MGYG000002479.fna [FEAT] 2450/4744 MGYG000002529.fna [FEAT] 2500/4744 MGYG000002582.fna [FEAT] 2550/4744 MGYG000002637.fna [FEAT] 2600/4744 MGYG000002690.fna [FEAT] 2650/4744 MGYG000002741.fna [FEAT] 2700/4744 MGYG000002791.fna [FEAT] 2750/4744 MGYG000002844.fna [FEAT] 2800/4744 MGYG000002896.fna [FEAT] 2850/4744 MGYG000002947.fna [FEAT] 2900/4744 MGYG000002999.fna [FEAT] 2950/4744 MGYG000003050.fna [FEAT] 3000/4744 MGYG000003112.fna [FEAT] 3050/4744 MGYG000003164.fna [FEAT] 3100/4744 MGYG000003214.fna [FEAT] 3150/4744 MGYG000003267.fna [FEAT] 3200/4744 MGYG000003321.fna [FEAT] 3250/4744 MGYG000003380.fna [FEAT] 3300/4744 MGYG000003431.fna [FEAT] 3350/4744 MGYG000003483.fna [FEAT] 3400/4744 MGYG000003538.fna [FEAT] 3450/4744 MGYG000003590.fna [FEAT] 3500/4744 MGYG000003641.fna [FEAT] 3550/4744 MGYG000003692.fna [FEAT] 3600/4744 MGYG000003742.fna [FEAT] 3650/4744 MGYG000003792.fna [FEAT] 3700/4744 MGYG000003842.fna [FEAT] 3750/4744 MGYG000003894.fna [FEAT] 3800/4744 MGYG000003945.fna [FEAT] 3850/4744 MGYG000003996.fna [FEAT] 3900/4744 MGYG000004046.fna [FEAT] 3950/4744 MGYG000004098.fna [FEAT] 4000/4744 MGYG000004149.fna [FEAT] 4050/4744 MGYG000004200.fna [FEAT] 4100/4744 MGYG000004251.fna [FEAT] 4150/4744 MGYG000004302.fna [FEAT] 4200/4744 MGYG000004352.fna [FEAT] 4250/4744 MGYG000004402.fna [FEAT] 4300/4744 MGYG000004455.fna [FEAT] 4350/4744 MGYG000004506.fna [FEAT] 4400/4744 MGYG000004558.fna [FEAT] 4450/4744 MGYG000004610.fna [FEAT] 4500/4744 MGYG000004661.fna [FEAT] 4550/4744 MGYG000004711.fna [FEAT] 4600/4744 MGYG000004761.fna [FEAT] 4650/4744 MGYG000004811.fna [FEAT] 4700/4744 MGYG000004861.fna [FEAT] 4744/4744 MGYG000004905.fna [FEAT] Built X=(4744, 322) in 3419.6s [TRUTH] Annotated: 4728/4744 Missing_in_TSV: 16 ================================================================================ [1/36] MODEL: model_ET_pu_normal_F1_64log_gc_tetra.joblib ================================================================================ [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/model_ET_pu_normal_F1_64log_gc_tetra__pred.csv rows=4744 time=0.84 min ================================================================================ [2/36] MODEL: model_ET_pu_normal_FB_64log_gc_tetra.joblib ================================================================================ [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/model_ET_pu_normal_FB_64log_gc_tetra__pred.csv rows=4744 time=1.29 min ================================================================================ [3/36] MODEL: model_ET_pu_normal_PR_AUC_64log_gc_tetra.joblib ================================================================================ [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/model_ET_pu_normal_PR_AUC_64log_gc_tetra__pred.csv rows=4744 time=2.01 min ================================================================================ [4/36] MODEL: model_ET_pu_weighted_F1_64log_gc_tetra.joblib ================================================================================ [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/model_ET_pu_weighted_F1_64log_gc_tetra__pred.csv rows=4744 time=1.77 min ================================================================================ [5/36] MODEL: model_ET_pu_weighted_FB_64log_gc_tetra.joblib ================================================================================ [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/model_ET_pu_weighted_FB_64log_gc_tetra__pred.csv rows=4744 time=1.38 min ================================================================================ [6/36] MODEL: model_ET_pu_weighted_PR_AUC_64log_gc_tetra.joblib ================================================================================ [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/model_ET_pu_weighted_PR_AUC_64log_gc_tetra__pred.csv rows=4744 time=2.06 min ================================================================================ [7/36] MODEL: model_ET_supervised_normal_F1_64log_gc_tetra.joblib ================================================================================ [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/model_ET_supervised_normal_F1_64log_gc_tetra__pred.csv rows=4744 time=1.06 min ================================================================================ [8/36] MODEL: model_ET_supervised_normal_FB_64log_gc_tetra.joblib ================================================================================ [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/model_ET_supervised_normal_FB_64log_gc_tetra__pred.csv rows=4744 time=0.45 min ================================================================================ [9/36] MODEL: model_ET_supervised_normal_PR_AUC_64log_gc_tetra.joblib ================================================================================ [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/model_ET_supervised_normal_PR_AUC_64log_gc_tetra__pred.csv rows=4744 time=0.75 min ================================================================================ [10/36] MODEL: model_ET_supervised_weighted_F1_64log_gc_tetra.joblib ================================================================================ [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/model_ET_supervised_weighted_F1_64log_gc_tetra__pred.csv rows=4744 time=0.31 min ================================================================================ [11/36] MODEL: model_ET_supervised_weighted_FB_64log_gc_tetra.joblib ================================================================================ [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/model_ET_supervised_weighted_FB_64log_gc_tetra__pred.csv rows=4744 time=0.55 min ================================================================================ [12/36] MODEL: model_ET_supervised_weighted_PR_AUC_64log_gc_tetra.joblib ================================================================================ [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/model_ET_supervised_weighted_PR_AUC_64log_gc_tetra__pred.csv rows=4744 time=0.62 min ================================================================================ [13/36] MODEL: model_RF_pu_normal_F1_64log_gc_tetra.joblib ================================================================================ [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/model_RF_pu_normal_F1_64log_gc_tetra__pred.csv rows=4744 time=0.72 min ================================================================================ [14/36] MODEL: model_RF_pu_normal_FB_64log_gc_tetra.joblib ================================================================================ [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/model_RF_pu_normal_FB_64log_gc_tetra__pred.csv rows=4744 time=0.49 min ================================================================================ [15/36] MODEL: model_RF_pu_normal_PR_AUC_64log_gc_tetra.joblib ================================================================================ [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/model_RF_pu_normal_PR_AUC_64log_gc_tetra__pred.csv rows=4744 time=0.88 min ================================================================================ [16/36] MODEL: model_RF_pu_weighted_F1_64log_gc_tetra.joblib ================================================================================ [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/model_RF_pu_weighted_F1_64log_gc_tetra__pred.csv rows=4744 time=0.94 min ================================================================================ [17/36] MODEL: model_RF_pu_weighted_FB_64log_gc_tetra.joblib ================================================================================ [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/model_RF_pu_weighted_FB_64log_gc_tetra__pred.csv rows=4744 time=0.48 min ================================================================================ [18/36] MODEL: model_RF_pu_weighted_PR_AUC_64log_gc_tetra.joblib ================================================================================ [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/model_RF_pu_weighted_PR_AUC_64log_gc_tetra__pred.csv rows=4744 time=0.69 min ================================================================================ [19/36] MODEL: model_RF_supervised_normal_F1_64log_gc_tetra.joblib ================================================================================ [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/model_RF_supervised_normal_F1_64log_gc_tetra__pred.csv rows=4744 time=0.22 min ================================================================================ [20/36] MODEL: model_RF_supervised_normal_FB_64log_gc_tetra.joblib ================================================================================ [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/model_RF_supervised_normal_FB_64log_gc_tetra__pred.csv rows=4744 time=0.22 min ================================================================================ [21/36] MODEL: model_RF_supervised_normal_PR_AUC_64log_gc_tetra.joblib ================================================================================ [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/model_RF_supervised_normal_PR_AUC_64log_gc_tetra__pred.csv rows=4744 time=0.16 min ================================================================================ [22/36] MODEL: model_RF_supervised_weighted_F1_64log_gc_tetra.joblib ================================================================================ [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/model_RF_supervised_weighted_F1_64log_gc_tetra__pred.csv rows=4744 time=0.13 min ================================================================================ [23/36] MODEL: model_RF_supervised_weighted_FB_64log_gc_tetra.joblib ================================================================================ [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/model_RF_supervised_weighted_FB_64log_gc_tetra__pred.csv rows=4744 time=0.15 min ================================================================================ [24/36] MODEL: model_RF_supervised_weighted_PR_AUC_64log_gc_tetra.joblib ================================================================================ [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/model_RF_supervised_weighted_PR_AUC_64log_gc_tetra__pred.csv rows=4744 time=0.29 min ================================================================================ [25/36] MODEL: model_XGB_pu_normal_F1_64log_gc_tetra.joblib ================================================================================ [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/model_XGB_pu_normal_F1_64log_gc_tetra__pred.csv rows=4744 time=0.08 min ================================================================================ [26/36] MODEL: model_XGB_pu_normal_FB_64log_gc_tetra.joblib ================================================================================ [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/model_XGB_pu_normal_FB_64log_gc_tetra__pred.csv rows=4744 time=0.06 min ================================================================================ [27/36] MODEL: model_XGB_pu_normal_PR_AUC_64log_gc_tetra.joblib ================================================================================ [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/model_XGB_pu_normal_PR_AUC_64log_gc_tetra__pred.csv rows=4744 time=0.06 min ================================================================================ [28/36] MODEL: model_XGB_pu_weighted_F1_64log_gc_tetra.joblib ================================================================================ [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/model_XGB_pu_weighted_F1_64log_gc_tetra__pred.csv rows=4744 time=0.16 min ================================================================================ [29/36] MODEL: model_XGB_pu_weighted_FB_64log_gc_tetra.joblib ================================================================================ [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/model_XGB_pu_weighted_FB_64log_gc_tetra__pred.csv rows=4744 time=0.07 min ================================================================================ [30/36] MODEL: model_XGB_pu_weighted_PR_AUC_64log_gc_tetra.joblib ================================================================================ [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/model_XGB_pu_weighted_PR_AUC_64log_gc_tetra__pred.csv rows=4744 time=0.13 min ================================================================================ [31/36] MODEL: model_XGB_supervised_normal_F1_64log_gc_tetra.joblib ================================================================================ [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/model_XGB_supervised_normal_F1_64log_gc_tetra__pred.csv rows=4744 time=0.08 min ================================================================================ [32/36] MODEL: model_XGB_supervised_normal_FB_64log_gc_tetra.joblib ================================================================================ [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/model_XGB_supervised_normal_FB_64log_gc_tetra__pred.csv rows=4744 time=0.07 min ================================================================================ [33/36] MODEL: model_XGB_supervised_normal_PR_AUC_64log_gc_tetra.joblib ================================================================================ [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/model_XGB_supervised_normal_PR_AUC_64log_gc_tetra__pred.csv rows=4744 time=0.11 min ================================================================================ [34/36] MODEL: model_XGB_supervised_weighted_F1_64log_gc_tetra.joblib ================================================================================ [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/model_XGB_supervised_weighted_F1_64log_gc_tetra__pred.csv rows=4744 time=0.02 min ================================================================================ [35/36] MODEL: model_XGB_supervised_weighted_FB_64log_gc_tetra.joblib ================================================================================ [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/model_XGB_supervised_weighted_FB_64log_gc_tetra__pred.csv rows=4744 time=0.04 min ================================================================================ [36/36] MODEL: model_XGB_supervised_weighted_PR_AUC_64log_gc_tetra.joblib ================================================================================ [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/model_XGB_supervised_weighted_PR_AUC_64log_gc_tetra__pred.csv rows=4744 time=0.02 min [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/all_models_predictions_long.csv rows=170784 [WRITE] /TomaszLab/tRNA/Modele_final/predictions_truth/prediction_summary.csv rows=36 ================================================================================ [REPORT] Top models by overall PR-AUC (ground truth ALT = Genetic_code_ID != 11): model n_annotated overall_positives overall_precision overall_recall overall_f1 overall_pr_auc overall_roc_auc isolate_fn isolate_fp mag_fn mag_fp elapsed_min model_XGB_supervised_normal_F1_64log_gc_tetra 4728 71 0.800000 0.225352 0.351648 0.466332 0.929243 6 2 49 2 0.084873 model_ET_supervised_weighted_FB_64log_gc_tetra 4728 71 0.812500 0.183099 0.298851 0.464899 0.953109 6 2 52 1 0.552629 model_XGB_supervised_weighted_FB_64log_gc_tetra 4728 71 0.695652 0.225352 0.340426 0.463906 0.929103 6 3 49 4 0.039362 model_ET_supervised_normal_FB_64log_gc_tetra 4728 71 1.000000 0.084507 0.155844 0.462285 0.954601 6 0 59 0 0.446508 model_ET_supervised_weighted_F1_64log_gc_tetra 4728 71 1.000000 0.084507 0.155844 0.457996 0.957228 6 0 59 0 0.305102 model_ET_supervised_weighted_PR_AUC_64log_gc_tetra 4728 71 1.000000 0.084507 0.155844 0.457311 0.954370 6 0 59 0 0.617210 model_XGB_supervised_weighted_PR_AUC_64log_gc_tetra 4728 71 0.727273 0.112676 0.195122 0.453754 0.925830 7 0 56 3 0.023983 model_ET_supervised_normal_F1_64log_gc_tetra 4728 71 1.000000 0.070423 0.131579 0.445599 0.955400 7 0 59 0 1.064007 model_XGB_supervised_normal_FB_64log_gc_tetra 4728 71 0.800000 0.112676 0.197531 0.444397 0.927535 6 0 57 2 0.065516 model_XGB_pu_normal_FB_64log_gc_tetra 4728 71 0.341463 0.591549 0.432990 0.442206 0.931038 4 12 25 69 0.061165 model_RF_supervised_weighted_FB_64log_gc_tetra 4728 71 0.600000 0.042254 0.078947 0.437795 0.935564 7 1 61 1 0.151872 model_XGB_supervised_normal_PR_AUC_64log_gc_tetra 4728 71 0.833333 0.211268 0.337079 0.436215 0.927769 6 2 50 1 0.111022 model_ET_supervised_normal_PR_AUC_64log_gc_tetra 4728 71 1.000000 0.028169 0.054795 0.435641 0.952566 8 0 61 0 0.751278 model_RF_supervised_normal_FB_64log_gc_tetra 4728 71 0.750000 0.042254 0.080000 0.428839 0.938834 7 0 61 1 0.222685 model_ET_pu_weighted_PR_AUC_64log_gc_tetra 4728 71 0.521739 0.338028 0.410256 0.425956 0.948701 5 5 42 17 2.061713 ================================================================================ [DONE] [?2004h(models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$  (models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ ls [?2004l 80_20_split_fixed.py FEATURES_ALL.ndjson Supp1.csv genomes-all_metadata_with_genetic_code_id_noNA.tsv models_logs.txt predictions results_models weights_snapshot_test.tsv Archea_codetta_genomes Mass_models.py Supp2.xlsx metrics_summary.csv predict_dir.py predictions_truth split_dataset weights_snapshot_train.tsv [?2004h(models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ cd predictions [?2004l [?2004h(models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final/predictions$ ls [?2004l [?2004h(models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final/predictions$ cd ../ [?2004l [?2004h(models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ rm -r predictions [?2004l [?2004h(models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final$ cd predictions_truth/ [?2004l [?2004h(models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final/predictions_truth$ ls [?2004l all_models_predictions_long.csv model_ET_supervised_weighted_F1_64log_gc_tetra__pred.csv model_RF_supervised_normal_FB_64log_gc_tetra__pred.csv model_XGB_pu_weighted_PR_AUC_64log_gc_tetra__pred.csv model_ET_pu_normal_F1_64log_gc_tetra__pred.csv model_ET_supervised_weighted_FB_64log_gc_tetra__pred.csv model_RF_supervised_normal_PR_AUC_64log_gc_tetra__pred.csv model_XGB_supervised_normal_F1_64log_gc_tetra__pred.csv model_ET_pu_normal_FB_64log_gc_tetra__pred.csv model_ET_supervised_weighted_PR_AUC_64log_gc_tetra__pred.csv model_RF_supervised_weighted_F1_64log_gc_tetra__pred.csv model_XGB_supervised_normal_FB_64log_gc_tetra__pred.csv model_ET_pu_normal_PR_AUC_64log_gc_tetra__pred.csv model_RF_pu_normal_F1_64log_gc_tetra__pred.csv model_RF_supervised_weighted_FB_64log_gc_tetra__pred.csv model_XGB_supervised_normal_PR_AUC_64log_gc_tetra__pred.csv model_ET_pu_weighted_F1_64log_gc_tetra__pred.csv model_RF_pu_normal_FB_64log_gc_tetra__pred.csv model_RF_supervised_weighted_PR_AUC_64log_gc_tetra__pred.csv model_XGB_supervised_weighted_F1_64log_gc_tetra__pred.csv model_ET_pu_weighted_FB_64log_gc_tetra__pred.csv model_RF_pu_normal_PR_AUC_64log_gc_tetra__pred.csv model_XGB_pu_normal_F1_64log_gc_tetra__pred.csv model_XGB_supervised_weighted_FB_64log_gc_tetra__pred.csv model_ET_pu_weighted_PR_AUC_64log_gc_tetra__pred.csv model_RF_pu_weighted_F1_64log_gc_tetra__pred.csv model_XGB_pu_normal_FB_64log_gc_tetra__pred.csv model_XGB_supervised_weighted_PR_AUC_64log_gc_tetra__pred.csv model_ET_supervised_normal_F1_64log_gc_tetra__pred.csv model_RF_pu_weighted_FB_64log_gc_tetra__pred.csv model_XGB_pu_normal_PR_AUC_64log_gc_tetra__pred.csv prediction_summary.csv model_ET_supervised_normal_FB_64log_gc_tetra__pred.csv model_RF_pu_weighted_PR_AUC_64log_gc_tetra__pred.csv model_XGB_pu_weighted_F1_64log_gc_tetra__pred.csv model_ET_supervised_normal_PR_AUC_64log_gc_tetra__pred.csv model_RF_supervised_normal_F1_64log_gc_tetra__pred.csv model_XGB_pu_weighted_FB_64log_gc_tetra__pred.csv [?2004h(models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final/predictions_truth$ cat model_ET_nr or   pu_normal_F1_64log_gc_tetra__pred.csv [?2004l Genome,Genome_type,Genetic_code_ID,y_true_alt,true_label,model,y_pred_alt,pred_label,proba_alt MGYG000000001,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.31856608678062315 MGYG000000002,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.11610941768326193 MGYG000000003,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.284667767600619 MGYG000000004,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.19926250234372297 MGYG000000005,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.3275020001519662 MGYG000000006,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.193389242545054 MGYG000000007,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.4437444352197873 MGYG000000008,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.4963385544949718 MGYG000000009,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1859840118494585 MGYG000000010,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.2247772094593902 MGYG000000011,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.2397601316987765 MGYG000000012,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.12895144875787143 MGYG000000013,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.32419208347270767 MGYG000000014,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.15097219669785691 MGYG000000015,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.20145088738457015 MGYG000000016,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.17269983527749228 MGYG000000017,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.12104490708917831 MGYG000000018,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.12017196580125357 MGYG000000019,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.15820564754281685 MGYG000000020,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.2596972226495436 MGYG000000021,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.3412647749902392 MGYG000000022,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.16879970213404352 MGYG000000023,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.12740244622705002 MGYG000000024,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,1,ALT,0.534373253119544 MGYG000000025,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.2015678927306138 MGYG000000026,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.2916229403884182 MGYG000000027,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.20796734047110776 MGYG000000028,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.16462303330654007 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MGYG000000129,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.16971768748087637 MGYG000000130,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.17295767053605118 MGYG000000131,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.22562252128636848 MGYG000000132,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.21679358924272527 MGYG000000133,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.15936284915219553 MGYG000000134,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.24272491395064746 MGYG000000135,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.16947710326075652 MGYG000000136,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1257014770903901 MGYG000000137,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.15922222267379618 MGYG000000138,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1334250284299163 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MGYG000000159,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.15666455208127195 MGYG000000160,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.19596001799400256 MGYG000000161,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.337671072789057 MGYG000000162,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.13685205387483215 MGYG000000163,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.20240384232421066 MGYG000000164,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.13550367545439618 MGYG000000165,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.14067768629608235 MGYG000000166,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.4655209262603238 MGYG000000167,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.12336817403574322 MGYG000000168,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.16839335919266327 MGYG000000169,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1583415191911394 MGYG000000170,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1810590053949059 MGYG000000171,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.10785540535221662 MGYG000000172,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.17134548498410318 MGYG000000173,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1908848178947684 MGYG000000174,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.16543018660366285 MGYG000000175,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.17804460756436943 MGYG000000176,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.15112635380678754 MGYG000000177,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1919925852806231 MGYG000000178,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.16446157517646437 MGYG000000179,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.18377566342758075 MGYG000000180,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.12884813708697182 MGYG000000181,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1548176918061043 MGYG000000182,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.18791021759155324 MGYG000000183,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.17102518301035802 MGYG000000184,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1024901083524095 MGYG000000185,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.18258930137069465 MGYG000000186,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.20776066523136622 MGYG000000187,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.12179475956759613 MGYG000000188,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.14852686205244894 MGYG000000189,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.11065293682667998 MGYG000000190,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.10604784237517305 MGYG000000191,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.2936911800473963 MGYG000000192,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.18345020520759067 MGYG000000193,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.11879098748487853 MGYG000000194,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1628714278037005 MGYG000000195,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.19783827453908442 MGYG000000196,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.2571380412120455 MGYG000000197,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.13193875919145384 MGYG000000198,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.17791973361322497 MGYG000000199,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.13076357183218987 MGYG000000200,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.09686332336606014 MGYG000000201,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.12773635586536392 MGYG000000202,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.17170835060078804 MGYG000000203,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1847722525309391 MGYG000000204,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.19758653591442824 MGYG000000205,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.2042949623721219 MGYG000000206,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.10864304400738282 MGYG000000207,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.12051519707919607 MGYG000000208,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.179494611295242 MGYG000000209,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.15660191085915237 MGYG000000210,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.11651893021274011 MGYG000000211,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.20481513814638197 MGYG000000212,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1064152174738381 MGYG000000213,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.11379436747293696 MGYG000000214,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.14132943689839042 MGYG000000215,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.10882554820921163 MGYG000000216,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.10644134114938836 MGYG000000217,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.15778753199713122 MGYG000000218,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1755845150141348 MGYG000000219,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.195028739529526 MGYG000000220,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.17582134287738327 MGYG000000221,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.18770778840857708 MGYG000000222,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.18448377504441466 MGYG000000223,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.18594432014141563 MGYG000000224,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.17617460902167345 MGYG000000225,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.16530931310646146 MGYG000000226,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.24152771211161492 MGYG000000227,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.14273942520087804 MGYG000000228,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.12976645424895936 MGYG000000229,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.12155597161189145 MGYG000000230,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.17497696356610562 MGYG000000231,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.09905128707111181 MGYG000000232,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.11856291281163625 MGYG000000233,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.19337945500157983 MGYG000000234,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.22710484745888115 MGYG000000235,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1880652145180894 MGYG000000236,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.23350898348834867 MGYG000000237,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.11743040476355437 MGYG000000238,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.13277021706290665 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MGYG000000259,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.15237670203962264 MGYG000000260,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.12061321792253674 MGYG000000261,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.13699698113245798 MGYG000000262,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.14901650875120737 MGYG000000263,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.12186202924700727 MGYG000000264,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.11023577203559262 MGYG000000265,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.19578957401904384 MGYG000000266,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.14009185744691136 MGYG000000267,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1552635150478265 MGYG000000268,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.152644204983622 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MGYG000001236,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1524537345411556 MGYG000001237,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.26029494836866013 MGYG000001238,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.16161821336281532 MGYG000001239,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.27175910787503216 MGYG000001240,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.08046165274323988 MGYG000001241,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.12685530706588144 MGYG000001242,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.18580289224979138 MGYG000001243,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.14729058705907117 MGYG000001244,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.13542996479374703 MGYG000001246,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.13320925282379528 MGYG000001247,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.16273329316227775 MGYG000001248,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.15069454968351875 MGYG000001249,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.18452688678352613 MGYG000001250,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.18341332813610978 MGYG000001251,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1795618298956526 MGYG000001252,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.10724179923495723 MGYG000001253,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.11642561933693138 MGYG000001254,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.11804553425232295 MGYG000001255,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.391014373712758 MGYG000001256,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.14542132257453327 MGYG000001257,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1865327069115167 MGYG000001258,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.17778244633999638 MGYG000001259,MAG,-1,1.0,ALT,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.359793118932594 MGYG000001260,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.11148857304011264 MGYG000001261,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.30305341282514436 MGYG000001262,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,1,ALT,0.6673777672138168 MGYG000001263,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.2937045671782698 MGYG000001264,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.22951697995809003 MGYG000001265,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,1,ALT,0.5356525809456418 MGYG000001266,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.16852266359317788 MGYG000001267,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.15763834731273457 MGYG000001268,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.17671680359365025 MGYG000001269,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1749487546100344 MGYG000001270,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.15503098742985952 MGYG000001271,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.14734667793664957 MGYG000001272,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.291257812448603 MGYG000001273,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.2276900690082758 MGYG000001274,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.11182696047731304 MGYG000001275,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.11133654881005682 MGYG000001276,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1763200937648823 MGYG000001277,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.37607455939874196 MGYG000001278,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1404245967671742 MGYG000001279,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.18355562938444206 MGYG000001280,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.17567027393835646 MGYG000001281,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1582709239135754 MGYG000001283,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1624840296099387 MGYG000001284,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.23383159886743785 MGYG000001285,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.24723596951324597 MGYG000001286,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.27757739646042895 MGYG000001287,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.15886818913860176 MGYG000001288,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.13057301357564702 MGYG000001289,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.11717828276039279 MGYG000001290,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.22065258121911643 MGYG000001291,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.2635469666441936 MGYG000001292,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.15920343843727694 MGYG000001293,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.13206844845652024 MGYG000001294,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.13808102648564732 MGYG000001295,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.31001806630801515 MGYG000001296,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1772526392636718 MGYG000001297,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.14435612938269307 MGYG000001298,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.14490875229635183 MGYG000001299,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.16350596098732803 MGYG000001300,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.16776429865428116 MGYG000001301,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.19205748534870196 MGYG000001302.1,,,,,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.15961175573403352 MGYG000001303,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.16557562061735984 MGYG000001304,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.27473792048565393 MGYG000001305,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.22431328474309187 MGYG000001306,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.18692200914897328 MGYG000001307,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.21447445370745058 MGYG000001308,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.47149053808043184 MGYG000001309,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.14927408621703728 MGYG000001310,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.11884089845628495 MGYG000001311,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1770563045693016 MGYG000001312,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.17488553989376368 MGYG000001313,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.14629038905173772 MGYG000001314,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.10248701847804285 MGYG000001315,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.12750210089761033 MGYG000001316,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.22003302895884116 MGYG000001317,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.2161406902653873 MGYG000001318,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.18693733416565841 MGYG000001319,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.16543802456434156 MGYG000001320,Isolate,-1,1.0,ALT,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.3111776294076732 MGYG000001321,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,1,ALT,0.5038738920922949 MGYG000001322,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.23226452242311357 MGYG000001323,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.2304757132399867 MGYG000001324,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.13369139721288867 MGYG000001325,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.25273910655947834 MGYG000001326,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.09809724153613035 MGYG000001327,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.2287579931632906 MGYG000001328,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.11702529355521775 MGYG000001329,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.15842872161267246 MGYG000001330,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.16608754028225522 MGYG000001331,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1822332929951166 MGYG000001332,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.18169727789749415 MGYG000001333.1,,,,,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.18260189650012598 MGYG000001334,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.11696228975647613 MGYG000001335,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.44108255165975757 MGYG000001336,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.2980426704257857 MGYG000001337,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.21991334136414406 MGYG000001338,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.12278098260679661 MGYG000001339,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.21839965837783598 MGYG000001340,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.16027429982148425 MGYG000001341,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.14866635000711995 MGYG000001342,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.130167472448177 MGYG000001343,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.23246864787041763 MGYG000001344,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.12900880047077537 MGYG000001345,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.21920332622226651 MGYG000001346,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.16951546027486772 MGYG000001347,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.10245566714338485 MGYG000001348,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1813646812523916 MGYG000001349,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.14934462290126238 MGYG000001350,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1255373416747775 MGYG000001351,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1969196556891177 MGYG000001352,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.11370094432797999 MGYG000001353,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1279399688851047 MGYG000001354,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.12452260793998415 MGYG000001355,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.2166992023956807 MGYG000001356,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.15000190810317643 MGYG000001357,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.19189604474698208 MGYG000001358,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1628192263464755 MGYG000001359,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.2452935285559317 MGYG000001360,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.15310629075666543 MGYG000001361,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.15924715226525582 MGYG000001362,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.21309905539077406 MGYG000001363,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.2170955604143443 MGYG000001364,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1512681508749705 MGYG000001365,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.16105841968313162 MGYG000001366,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.18263485365254045 MGYG000001367,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.18788630008646492 MGYG000001368,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1676738407516132 MGYG000001369,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.42593823723328345 MGYG000001370,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.17737264471395814 MGYG000001371,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.15143037006403492 MGYG000001372,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1321438537613845 MGYG000001373,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.2011147358999946 MGYG000001374,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.21525436801986914 MGYG000001375,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1841584670154295 MGYG000001376,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1452976042003506 MGYG000001377,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1902308232975485 MGYG000001378,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.30718438240479046 MGYG000001379,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.19848171576525717 MGYG000001380,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1693881795762469 MGYG000001381,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.26249702727190005 MGYG000001382,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.18749168504786082 MGYG000001383,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.20615323794731527 MGYG000001384,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.35710959964662986 MGYG000001385,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1803072935317735 MGYG000001386,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.17251102107395205 MGYG000001387,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.2810486369749714 MGYG000001388,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.2639307448463562 MGYG000001389,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1635494692091248 MGYG000001390,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,1,ALT,0.6172627114664568 MGYG000001391,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1888901899509132 MGYG000001392,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.15617638150337307 MGYG000001393,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1867582905627856 MGYG000001394,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.15281396921432835 MGYG000001395,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.10530131020370645 MGYG000001396,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.11604886047789842 MGYG000001397,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1811309383335415 MGYG000001398,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1588810234317854 MGYG000001399,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.18478761891405898 MGYG000001400,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.31244518936407745 MGYG000001401,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.3264956169290594 MGYG000001402,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.23936736319441979 MGYG000001403,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.19168250977715975 MGYG000001404,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1987250932725509 MGYG000001405,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.23858777245260576 MGYG000001406.1,,,,,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.17429030516291824 MGYG000001407,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.14131824281044034 MGYG000001408,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.17013836486740636 MGYG000001409,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1966421331475515 MGYG000001410,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.24211919790282188 MGYG000001411,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.16323527821164435 MGYG000001412,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.24500616382906262 MGYG000001413,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.25293849435885074 MGYG000001414,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.20444494814959838 MGYG000001415,Isolate,-1,1.0,ALT,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.2861696487266239 MGYG000001416,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,1,ALT,0.5049705735237828 MGYG000001417,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.2833402368558878 MGYG000001418,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.3710363553040156 MGYG000001419,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.16042986512704485 MGYG000001420,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.2945996117309479 MGYG000001421,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1643644968606834 MGYG000001422,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.22120407935345182 MGYG000001423,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1377533203706751 MGYG000001424,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.23027799445642294 MGYG000001425,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.185668394953143 MGYG000001426,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.15435599079942772 MGYG000001427,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.34524986669760627 MGYG000001428,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.3642348058804065 MGYG000001429,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.24765056679562042 MGYG000001430,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.17876430604191443 MGYG000001431,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.26895752277049423 MGYG000001432,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.13634871641338056 MGYG000001433,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.20822316649691666 MGYG000001434,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.19748499589619642 MGYG000001435,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.15808690818562096 MGYG000001436,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.144891394630028 MGYG000001437,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1723931570649725 MGYG000001438,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.17494420171206712 MGYG000001439,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1773137401780567 MGYG000001440,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.17871506603590756 MGYG000001441,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.21822628511265413 MGYG000001442,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.14304637720201277 MGYG000001443,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.22059073726711256 MGYG000001444,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.14456386969005672 MGYG000001445,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1503264310535434 MGYG000001446,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1462621338085381 MGYG000001447,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.13319148442515433 MGYG000001448,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.22117003634397733 MGYG000001449,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.24100249992145484 MGYG000001450,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.25302665634748284 MGYG000001451,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.14379842934133646 MGYG000001452,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.23901710466760048 MGYG000001453,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.13265741421953123 MGYG000001454,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.287852301125465 MGYG000001455.1,,,,,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.18169650704417256 MGYG000001456.1,,,,,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.10430182161205202 MGYG000001457,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.26610051890699943 MGYG000001458,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.16621741937862605 MGYG000001459,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.09826574436552162 MGYG000001460,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.3392305189740895 MGYG000001461,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1796606393851062 MGYG000001462,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.17959690644355375 MGYG000001463,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.18228513193512336 MGYG000001464,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.09782626158165303 MGYG000001465,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.25193195186279355 MGYG000001466,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.2060371976032402 MGYG000001467,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1747849892982052 MGYG000001468,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.4728350990997845 MGYG000001469,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.19319343578879283 MGYG000001470,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.27749432426047 MGYG000001471,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.17511689633567915 MGYG000001472,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.20483616086571416 MGYG000001473,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.16147831035900545 MGYG000001474,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.15938228365229917 MGYG000001475,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.22244099738734402 MGYG000001476,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.15638304879142156 MGYG000001477,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1541601716134837 MGYG000001478,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.12093103455754822 MGYG000001479,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.20465742016877625 MGYG000001480,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.18927977396131823 MGYG000001481,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.23823921636771267 MGYG000001482,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.19000789027072607 MGYG000001483,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.24536783875888274 MGYG000001484,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.2722667582071896 MGYG000001485,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.2083585086762315 MGYG000001486,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.129546991793477 MGYG000001487,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.22468514991893673 MGYG000001488,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.21060417845184282 MGYG000001489,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.17420081509817825 MGYG000001490,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.11361493199429301 MGYG000001491,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1930346732630664 MGYG000001492,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.17938529360838323 MGYG000001493,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.18554347767507756 MGYG000001494,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.18057644977671744 MGYG000001495,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.22590028936220716 MGYG000001496,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1481648733210674 MGYG000001497,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1251734691118857 MGYG000001498,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.19264739839906683 MGYG000001499,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.20330279387613523 MGYG000001500,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.19149545971796003 MGYG000001501,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.33540906781783764 MGYG000001502,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.23190257141526882 MGYG000001503,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.2078395461299008 MGYG000001504,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.2067823848007976 MGYG000001505,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.25267594204214255 MGYG000001506,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.22684152937464086 MGYG000001507,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.14057604463159432 MGYG000001508,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1464743399300235 MGYG000001509,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.15512945938768988 MGYG000001510,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.20432578697879136 MGYG000001511,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.32780852818269424 MGYG000001512,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1936691657485117 MGYG000001513,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.10396832416344903 MGYG000001514,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.15082096731582914 MGYG000001515,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.2314149964723981 MGYG000001516,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.255903823279414 MGYG000001517,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.26163934761637847 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MGYG000001680,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1567118679001783 MGYG000001681,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.13252486723571652 MGYG000001682,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.13780718941024173 MGYG000001683,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1749770212757664 MGYG000001684,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1541463968069549 MGYG000001685,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.16881203392969998 MGYG000001686,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.28995801344291144 MGYG000001687,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.14458511433645194 MGYG000001688,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1912273508380169 MGYG000001689,Isolate,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.17313904491984555 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MGYG000004899,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.16730994666720392 MGYG000004900,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.3884496899609937 MGYG000004901,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.24981668956393144 MGYG000004902,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.19400003501471638 MGYG000004903,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.1480915931274821 MGYG000004904,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.12691303139602522 MGYG000004905,MAG,11,0.0,STD,model_ET_pu_normal_F1_64log_gc_tetra,0,STD,0.14423908413635794 [?2004h(models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final/predictions_truth$ ls [?2004l all_models_predictions_long.csv model_ET_supervised_weighted_F1_64log_gc_tetra__pred.csv model_RF_supervised_normal_FB_64log_gc_tetra__pred.csv model_XGB_pu_weighted_PR_AUC_64log_gc_tetra__pred.csv model_ET_pu_normal_F1_64log_gc_tetra__pred.csv model_ET_supervised_weighted_FB_64log_gc_tetra__pred.csv model_RF_supervised_normal_PR_AUC_64log_gc_tetra__pred.csv model_XGB_supervised_normal_F1_64log_gc_tetra__pred.csv model_ET_pu_normal_FB_64log_gc_tetra__pred.csv model_ET_supervised_weighted_PR_AUC_64log_gc_tetra__pred.csv model_RF_supervised_weighted_F1_64log_gc_tetra__pred.csv model_XGB_supervised_normal_FB_64log_gc_tetra__pred.csv model_ET_pu_normal_PR_AUC_64log_gc_tetra__pred.csv model_RF_pu_normal_F1_64log_gc_tetra__pred.csv model_RF_supervised_weighted_FB_64log_gc_tetra__pred.csv model_XGB_supervised_normal_PR_AUC_64log_gc_tetra__pred.csv model_ET_pu_weighted_F1_64log_gc_tetra__pred.csv model_RF_pu_normal_FB_64log_gc_tetra__pred.csv model_RF_supervised_weighted_PR_AUC_64log_gc_tetra__pred.csv model_XGB_supervised_weighted_F1_64log_gc_tetra__pred.csv model_ET_pu_weighted_FB_64log_gc_tetra__pred.csv model_RF_pu_normal_PR_AUC_64log_gc_tetra__pred.csv model_XGB_pu_normal_F1_64log_gc_tetra__pred.csv model_XGB_supervised_weighted_FB_64log_gc_tetra__pred.csv model_ET_pu_weighted_PR_AUC_64log_gc_tetra__pred.csv model_RF_pu_weighted_F1_64log_gc_tetra__pred.csv model_XGB_pu_normal_FB_64log_gc_tetra__pred.csv model_XGB_supervised_weighted_PR_AUC_64log_gc_tetra__pred.csv model_ET_supervised_normal_F1_64log_gc_tetra__pred.csv model_RF_pu_weighted_FB_64log_gc_tetra__pred.csv model_XGB_pu_normal_PR_AUC_64log_gc_tetra__pred.csv prediction_summary.csv model_ET_supervised_normal_FB_64log_gc_tetra__pred.csv model_RF_pu_weighted_PR_AUC_64log_gc_tetra__pred.csv model_XGB_pu_weighted_F1_64log_gc_tetra__pred.csv model_ET_supervised_normal_PR_AUC_64log_gc_tetra__pred.csv model_RF_supervised_normal_F1_64log_gc_tetra__pred.csv model_XGB_pu_weighted_FB_64log_gc_tetra__pred.csv [?2004h(models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final/predictions_truth$ cat prediction_summary.csv [?2004l model,model_file,feature_cols,n_genomes_total,n_annotated,n_missing_truth,elapsed_sec,elapsed_min,overall_n,overall_positives,overall_tn,overall_fp,overall_fn,overall_tp,overall_accuracy,overall_precision,overall_recall,overall_f1,overall_specificity,overall_fn_rate,overall_fp_rate,overall_roc_auc,overall_pr_auc,isolate_n,isolate_positives,isolate_tn,isolate_fp,isolate_fn,isolate_tp,isolate_accuracy,isolate_precision,isolate_recall,isolate_f1,isolate_specificity,isolate_fn_rate,isolate_fp_rate,isolate_roc_auc,isolate_pr_auc,mag_n,mag_positives,mag_tn,mag_fp,mag_fn,mag_tp,mag_accuracy,mag_precision,mag_recall,mag_f1,mag_specificity,mag_fn_rate,mag_fp_rate,mag_roc_auc,mag_pr_auc model_ET_pu_normal_F1_64log_gc_tetra,/TomaszLab/tRNA/Modele_final/results_models/model_ET_pu_normal_F1_64log_gc_tetra.joblib,/TomaszLab/tRNA/Modele_final/results_models/feature_columns_64log_gc_tetra.json,4744,4728,16,50.55208730697632,0.8425347884496053,4728,71,4596,61,36,35,0.9794839255499154,0.3645833333333333,0.49295774647887325,0.41916167664670656,0.9869014386944385,0.5070422535211268,0.01309856130556152,0.9452921091072957,0.39827940648466603,904,9,880,15,5,4,0.9778761061946902,0.21052631578947367,0.4444444444444444,0.2857142857142857,0.9832402234636871,0.5555555555555556,0.01675977653631285,0.91495965238982,0.3824080976567331,3824,62,3716,46,31,31,0.9798640167364017,0.4025974025974026,0.5,0.4460431654676259,0.987772461456672,0.5,0.012227538543328018,0.9500908919414862,0.43006088211550036 model_ET_pu_normal_FB_64log_gc_tetra,/TomaszLab/tRNA/Modele_final/results_models/model_ET_pu_normal_FB_64log_gc_tetra.joblib,/TomaszLab/tRNA/Modele_final/results_models/feature_columns_64log_gc_tetra.json,4744,4728,16,77.69140934944153,1.2948568224906922,4728,71,4571,86,34,37,0.9746192893401016,0.3008130081300813,0.5211267605633803,0.38144329896907214,0.9815331758642903,0.4788732394366197,0.018466824135709683,0.9428968053543507,0.37988079349086107,904,9,876,19,5,4,0.9734513274336283,0.17391304347826086,0.4444444444444444,0.25,0.9787709497206704,0.5555555555555556,0.021229050279329607,0.9160769708255743,0.41276268011543327,3824,62,3695,67,29,33,0.9748953974895398,0.33,0.532258064516129,0.4074074074074074,0.9821903242955875,0.46774193548387094,0.017809675704412546,0.9466695820685633,0.3918992950735184 model_ET_pu_normal_PR_AUC_64log_gc_tetra,/TomaszLab/tRNA/Modele_final/results_models/model_ET_pu_normal_PR_AUC_64log_gc_tetra.joblib,/TomaszLab/tRNA/Modele_final/results_models/feature_columns_64log_gc_tetra.json,4744,4728,16,120.88866925239563,2.0148111542065936,4728,71,4571,86,35,36,0.9744077834179357,0.29508196721311475,0.5070422535211268,0.37305699481865284,0.9815331758642903,0.49295774647887325,0.018466824135709683,0.9432688032856793,0.35632532830639385,904,9,879,16,5,4,0.9767699115044248,0.2,0.4444444444444444,0.27586206896551724,0.982122905027933,0.5555555555555556,0.017877094972067038,0.9217877094972068,0.38450041503321486,3824,62,3692,70,30,32,0.9738493723849372,0.3137254901960784,0.5161290322580645,0.3902439024390244,0.9813928761297183,0.4838709677419355,0.018607123870281767,0.9466095590883368,0.36977013156762745 model_ET_pu_weighted_F1_64log_gc_tetra,/TomaszLab/tRNA/Modele_final/results_models/model_ET_pu_weighted_F1_64log_gc_tetra.joblib,/TomaszLab/tRNA/Modele_final/results_models/feature_columns_64log_gc_tetra.json,4744,4728,16,106.17404961585999,1.7695674935976664,4728,71,4641,16,54,17,0.9851945854483926,0.5151515151515151,0.23943661971830985,0.3269230769230769,0.9965643117887052,0.7605633802816901,0.003435688211294825,0.9455612783421595,0.3715650874601461,904,9,892,3,5,4,0.9911504424778761,0.5714285714285714,0.4444444444444444,0.5,0.9966480446927374,0.5555555555555556,0.0033519553072625698,0.9353196772191186,0.42842752986492355,3824,62,3749,13,49,13,0.983786610878661,0.5,0.20967741935483872,0.29545454545454547,0.9965443912812334,0.7903225806451613,0.0034556087187666137,0.9474155819656669,0.36356733351960374 model_ET_pu_weighted_FB_64log_gc_tetra,/TomaszLab/tRNA/Modele_final/results_models/model_ET_pu_weighted_FB_64log_gc_tetra.joblib,/TomaszLab/tRNA/Modele_final/results_models/feature_columns_64log_gc_tetra.json,4744,4728,16,82.65518403053284,1.3775864005088807,4728,71,4580,77,35,36,0.9763113367174281,0.3185840707964602,0.5070422535211268,0.391304347826087,0.9834657504831437,0.49295774647887325,0.016534249516856347,0.9428544641263946,0.35436137678040497,904,9,880,15,5,4,0.9778761061946902,0.21052631578947367,0.4444444444444444,0.2857142857142857,0.9832402234636871,0.5555555555555556,0.01675977653631285,0.924643078833023,0.38470043564313927,3824,62,3700,62,30,32,0.9759414225941423,0.3404255319148936,0.5161290322580645,0.41025641025641024,0.9835194045720361,0.4838709677419355,0.01648059542796385,0.9460307660647219,0.3687535529399977 model_ET_pu_weighted_PR_AUC_64log_gc_tetra,/TomaszLab/tRNA/Modele_final/results_models/model_ET_pu_weighted_PR_AUC_64log_gc_tetra.joblib,/TomaszLab/tRNA/Modele_final/results_models/feature_columns_64log_gc_tetra.json,4744,4728,16,123.70275974273682,2.061712662378947,4728,71,4635,22,47,24,0.9854060913705583,0.5217391304347826,0.3380281690140845,0.41025641025641024,0.9952759287094696,0.6619718309859155,0.004724071290530384,0.9487005779577616,0.4259564813417571,904,9,890,5,5,4,0.9889380530973452,0.4444444444444444,0.4444444444444444,0.4444444444444444,0.994413407821229,0.5555555555555556,0.00558659217877095,0.9303538175046555,0.5056068757279014,3824,62,3745,17,42,20,0.984571129707113,0.5405405405405406,0.3225806451612903,0.40404040404040403,0.9954811270600744,0.6774193548387096,0.004518872939925572,0.9517801100992952,0.4147358376878987 model_ET_supervised_normal_F1_64log_gc_tetra,/TomaszLab/tRNA/Modele_final/results_models/model_ET_supervised_normal_F1_64log_gc_tetra.joblib,/TomaszLab/tRNA/Modele_final/results_models/feature_columns_64log_gc_tetra.json,4744,4728,16,63.84041881561279,1.0640069802602132,4728,71,4657,0,66,5,0.9860406091370558,1.0,0.07042253521126761,0.13157894736842105,1.0,0.9295774647887324,0.0,0.9553995650951015,0.44559891436675103,904,9,895,0,7,2,0.9922566371681416,1.0,0.2222222222222222,0.36363636363636365,1.0,0.7777777777777778,0.0,0.9279329608938547,0.5109520240817257,3824,62,3762,0,59,3,0.984571129707113,1.0,0.04838709677419355,0.09230769230769231,1.0,0.9516129032258065,0.0,0.9591607929893159,0.43312121548020954 model_ET_supervised_normal_FB_64log_gc_tetra,/TomaszLab/tRNA/Modele_final/results_models/model_ET_supervised_normal_FB_64log_gc_tetra.joblib,/TomaszLab/tRNA/Modele_final/results_models/feature_columns_64log_gc_tetra.json,4744,4728,16,26.79050636291504,0.4465084393819173,4728,71,4657,0,65,6,0.9862521150592216,1.0,0.08450704225352113,0.15584415584415584,1.0,0.9154929577464789,0.0,0.9546011305107864,0.4622851850458132,904,9,895,0,6,3,0.9933628318584071,1.0,0.3333333333333333,0.5,1.0,0.6666666666666666,0.0,0.9201738050900061,0.516873261585494,3824,62,3762,0,59,3,0.984571129707113,1.0,0.04838709677419355,0.09230769230769231,1.0,0.9516129032258065,0.0,0.9592015228687555,0.4515174716019063 model_ET_supervised_normal_PR_AUC_64log_gc_tetra,/TomaszLab/tRNA/Modele_final/results_models/model_ET_supervised_normal_PR_AUC_64log_gc_tetra.joblib,/TomaszLab/tRNA/Modele_final/results_models/feature_columns_64log_gc_tetra.json,4744,4728,16,45.076682806015015,0.7512780467669169,4728,71,4657,0,69,2,0.9854060913705583,1.0,0.028169014084507043,0.0547945205479452,1.0,0.971830985915493,0.0,0.9525657271954682,0.4356412526112598,904,9,895,0,8,1,0.9911504424778761,1.0,0.1111111111111111,0.2,1.0,0.8888888888888888,0.0,0.9317815021725636,0.5251450492609465,3824,62,3762,0,61,1,0.9840481171548117,1.0,0.016129032258064516,0.031746031746031744,1.0,0.9838709677419355,0.0,0.9553836325907633,0.41843805776851867 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model_XGB_supervised_weighted_PR_AUC_64log_gc_tetra,/TomaszLab/tRNA/Modele_final/results_models/model_XGB_supervised_weighted_PR_AUC_64log_gc_tetra.joblib,/TomaszLab/tRNA/Modele_final/results_models/feature_columns_64log_gc_tetra.json,4744,4728,16,1.4389727115631104,0.02398287852605184,4728,71,4654,3,63,8,0.9860406091370558,0.7272727272727273,0.11267605633802817,0.1951219512195122,0.9993558084603822,0.8873239436619719,0.0006441915396177797,0.9258302661146176,0.4537539075820669,904,9,895,0,7,2,0.9922566371681416,1.0,0.2222222222222222,0.36363636363636365,1.0,0.7777777777777778,0.0,0.9633147113594042,0.5472066604419547,3824,62,3759,3,56,6,0.984571129707113,0.6666666666666666,0.0967741935483871,0.16901408450704225,0.9992025518341308,0.9032258064516129,0.0007974481658692185,0.9215735453002006,0.43755002037403923 [?2004h(models) MakarDoro@metagenomes:/TomaszLab/tRNA/Modele_final/predictions_truth$ cat prediction_summary.csv exit [?2004l exit