Loading required namespace: BiocManager
### [bt]: This is batchtools v0.9.17
### [bt]: Starting calculation of 1 jobs
### [bt]: Setting working directory to '/projects/genomic-ml/projects/2024-01-ml-for-autism'
Loading required package: mlr3verse
Loading required package: mlr3
### [bt]: Memory measurement disabled
### [bt]: Starting job [batchtools job.id=1487]
### [bt]: Generating problem instance for problem 'a2407f261731af25' ...
### [bt]: Applying algorithm 'run_learner' on problem 'a2407f261731af25' for job 1487 (seed = 1488) ...
INFO  [06:10:31.942] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 47/60)
INFO  [06:10:33.244] [bbotk] Starting to optimize 4 parameter(s) with '<TunerGridSearch>' and '<TerminatorNone>'
INFO  [06:10:33.287] [bbotk] Evaluating 1 configuration(s)
INFO  [06:10:33.310] [mlr3] Running benchmark with 5 resampling iterations
INFO  [06:10:33.359] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [06:10:54.824] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [06:11:14.896] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [06:11:39.074] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [06:11:59.153] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [06:12:19.511] [mlr3] Finished benchmark
INFO  [06:12:19.545] [bbotk] Result of batch 1:
INFO  [06:12:19.550] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [06:12:19.550] [bbotk]         0.5   FALSE            0.55       500   0.9565726        0      0
INFO  [06:12:19.550] [bbotk]  runtime_learners                                uhash
INFO  [06:12:19.550] [bbotk]           106.079 5bccdf55-0f9f-4adb-a906-7e718f43ff6a
INFO  [06:12:19.551] [bbotk] Evaluating 1 configuration(s)
INFO  [06:12:19.559] [mlr3] Running benchmark with 5 resampling iterations
INFO  [06:12:19.565] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
Growing trees.. Progress: 13%. Estimated remaining time: 3 minutes, 26 seconds.
Growing trees.. Progress: 26%. Estimated remaining time: 2 minutes, 56 seconds.
Growing trees.. Progress: 39%. Estimated remaining time: 2 minutes, 24 seconds.
Growing trees.. Progress: 52%. Estimated remaining time: 1 minute, 52 seconds.
Growing trees.. Progress: 66%. Estimated remaining time: 1 minute, 21 seconds.
Growing trees.. Progress: 79%. Estimated remaining time: 50 seconds.
Growing trees.. Progress: 92%. Estimated remaining time: 19 seconds.
INFO  [06:16:18.927] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
Growing trees.. Progress: 14%. Estimated remaining time: 3 minutes, 18 seconds.
Growing trees.. Progress: 27%. Estimated remaining time: 2 minutes, 47 seconds.
Growing trees.. Progress: 40%. Estimated remaining time: 2 minutes, 17 seconds.
Growing trees.. Progress: 54%. Estimated remaining time: 1 minute, 45 seconds.
Growing trees.. Progress: 68%. Estimated remaining time: 1 minute, 13 seconds.
Growing trees.. Progress: 81%. Estimated remaining time: 42 seconds.
Growing trees.. Progress: 95%. Estimated remaining time: 11 seconds.
INFO  [06:20:10.734] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
Growing trees.. Progress: 13%. Estimated remaining time: 3 minutes, 28 seconds.
Growing trees.. Progress: 26%. Estimated remaining time: 2 minutes, 56 seconds.
Growing trees.. Progress: 39%. Estimated remaining time: 2 minutes, 24 seconds.
Growing trees.. Progress: 52%. Estimated remaining time: 1 minute, 54 seconds.
Growing trees.. Progress: 65%. Estimated remaining time: 1 minute, 22 seconds.
Growing trees.. Progress: 78%. Estimated remaining time: 52 seconds.
Growing trees.. Progress: 91%. Estimated remaining time: 21 seconds.
INFO  [06:24:13.353] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
Growing trees.. Progress: 13%. Estimated remaining time: 3 minutes, 24 seconds.
Growing trees.. Progress: 26%. Estimated remaining time: 2 minutes, 52 seconds.
Growing trees.. Progress: 40%. Estimated remaining time: 2 minutes, 22 seconds.
Growing trees.. Progress: 53%. Estimated remaining time: 1 minute, 51 seconds.
Growing trees.. Progress: 66%. Estimated remaining time: 1 minute, 19 seconds.
Growing trees.. Progress: 80%. Estimated remaining time: 47 seconds.
Growing trees.. Progress: 93%. Estimated remaining time: 15 seconds.
INFO  [06:28:09.214] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
Growing trees.. Progress: 13%. Estimated remaining time: 3 minutes, 28 seconds.
Growing trees.. Progress: 26%. Estimated remaining time: 2 minutes, 57 seconds.
Growing trees.. Progress: 39%. Estimated remaining time: 2 minutes, 26 seconds.
Growing trees.. Progress: 52%. Estimated remaining time: 1 minute, 55 seconds.
Growing trees.. Progress: 65%. Estimated remaining time: 1 minute, 24 seconds.
Growing trees.. Progress: 78%. Estimated remaining time: 53 seconds.
Growing trees.. Progress: 91%. Estimated remaining time: 22 seconds.
INFO  [06:32:11.771] [mlr3] Finished benchmark
INFO  [06:32:11.807] [bbotk] Result of batch 2:
INFO  [06:32:11.810] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [06:32:11.810] [bbotk]           1    TRUE               1      2000    0.952678        0      0
INFO  [06:32:11.810] [bbotk]  runtime_learners                                uhash
INFO  [06:32:11.810] [bbotk]          1192.125 657bdc30-b584-4e23-bc02-314847bcf7d8
INFO  [06:32:11.811] [bbotk] Evaluating 1 configuration(s)
INFO  [06:32:11.821] [mlr3] Running benchmark with 5 resampling iterations
INFO  [06:32:11.826] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [06:32:12.224] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [06:32:12.382] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [06:32:12.544] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [06:32:12.697] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [06:32:12.847] [mlr3] Finished benchmark
INFO  [06:32:12.875] [bbotk] Result of batch 3:
INFO  [06:32:12.878] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [06:32:12.878] [bbotk]           1    TRUE            0.55         1   0.7181941        0      0
INFO  [06:32:12.878] [bbotk]  runtime_learners                                uhash
INFO  [06:32:12.878] [bbotk]             0.964 8ab39f0a-68cf-4b35-acd8-5a41e764918e
INFO  [06:32:12.880] [bbotk] Evaluating 1 configuration(s)
INFO  [06:32:12.888] [mlr3] Running benchmark with 5 resampling iterations
INFO  [06:32:12.893] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [06:32:13.045] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [06:32:13.200] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [06:32:13.371] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [06:32:13.519] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [06:32:13.681] [mlr3] Finished benchmark
INFO  [06:32:13.710] [bbotk] Result of batch 4:
INFO  [06:32:13.713] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [06:32:13.713] [bbotk]           1   FALSE            0.55         1   0.7298105        0      0
INFO  [06:32:13.713] [bbotk]  runtime_learners                                uhash
INFO  [06:32:13.713] [bbotk]             0.732 2e432418-4fc5-4960-81d7-0d404d7ac130
INFO  [06:32:13.714] [bbotk] Evaluating 1 configuration(s)
INFO  [06:32:13.722] [mlr3] Running benchmark with 5 resampling iterations
INFO  [06:32:13.727] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [06:32:39.031] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [06:33:09.794] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [06:33:37.171] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [06:34:04.977] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [06:34:32.161] [mlr3] Finished benchmark
INFO  [06:34:32.230] [bbotk] Result of batch 5:
INFO  [06:34:32.232] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [06:34:32.232] [bbotk]        0.25    TRUE           0.775      1000   0.9613279        0      0
INFO  [06:34:32.232] [bbotk]  runtime_learners                                uhash
INFO  [06:34:32.232] [bbotk]           138.366 4d9a1c4b-7a20-46bb-b25a-a89c39567188
INFO  [06:34:32.234] [bbotk] Evaluating 1 configuration(s)
INFO  [06:34:32.243] [mlr3] Running benchmark with 5 resampling iterations
INFO  [06:34:32.248] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [06:34:36.345] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [06:34:40.434] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [06:34:44.162] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [06:34:47.877] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [06:34:51.519] [mlr3] Finished benchmark
INFO  [06:34:51.554] [bbotk] Result of batch 6:
INFO  [06:34:51.557] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [06:34:51.557] [bbotk]         0.5    TRUE             0.1       500   0.9602333        0      0
INFO  [06:34:51.557] [bbotk]  runtime_learners                                uhash
INFO  [06:34:51.557] [bbotk]            19.202 2b286e81-914b-42ad-b809-c9db795a6fb8
INFO  [06:34:51.559] [bbotk] Evaluating 1 configuration(s)
INFO  [06:34:51.568] [mlr3] Running benchmark with 5 resampling iterations
INFO  [06:34:51.574] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
Growing trees.. Progress: 69%. Estimated remaining time: 13 seconds.
INFO  [06:35:37.352] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
Growing trees.. Progress: 73%. Estimated remaining time: 11 seconds.
INFO  [06:36:21.669] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
Growing trees.. Progress: 65%. Estimated remaining time: 16 seconds.
INFO  [06:37:10.967] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
Growing trees.. Progress: 74%. Estimated remaining time: 10 seconds.
INFO  [06:37:54.305] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
Growing trees.. Progress: 70%. Estimated remaining time: 13 seconds.
INFO  [06:38:40.563] [mlr3] Finished benchmark
INFO  [06:38:40.597] [bbotk] Result of batch 7:
INFO  [06:38:40.600] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [06:38:40.600] [bbotk]           1    TRUE           0.325      1000   0.9569148        0      0
INFO  [06:38:40.600] [bbotk]  runtime_learners                                uhash
INFO  [06:38:40.600] [bbotk]           228.911 d568cc86-428e-4677-8610-8f8ec3e3fa88
INFO  [06:38:40.601] [bbotk] Evaluating 1 configuration(s)
INFO  [06:38:40.610] [mlr3] Running benchmark with 5 resampling iterations
INFO  [06:38:40.616] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
Growing trees.. Progress: 39%. Estimated remaining time: 49 seconds.
Growing trees.. Progress: 77%. Estimated remaining time: 18 seconds.
INFO  [06:40:03.196] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
Growing trees.. Progress: 39%. Estimated remaining time: 48 seconds.
Growing trees.. Progress: 78%. Estimated remaining time: 17 seconds.
INFO  [06:41:24.857] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
Growing trees.. Progress: 37%. Estimated remaining time: 52 seconds.
Growing trees.. Progress: 75%. Estimated remaining time: 20 seconds.
INFO  [06:42:48.829] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
Growing trees.. Progress: 38%. Estimated remaining time: 50 seconds.
Growing trees.. Progress: 76%. Estimated remaining time: 19 seconds.
INFO  [06:44:11.207] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
Growing trees.. Progress: 35%. Estimated remaining time: 58 seconds.
Growing trees.. Progress: 69%. Estimated remaining time: 27 seconds.
INFO  [06:45:42.782] [mlr3] Finished benchmark
INFO  [06:45:42.811] [bbotk] Result of batch 8:
INFO  [06:45:42.814] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [06:45:42.814] [bbotk]           1   FALSE            0.55      1000   0.9525936        0      0
INFO  [06:45:42.814] [bbotk]  runtime_learners                                uhash
INFO  [06:45:42.814] [bbotk]           422.098 f78f2c91-cde5-4e1e-a29c-809b1aab45f7
INFO  [06:45:42.816] [bbotk] Evaluating 1 configuration(s)
INFO  [06:45:42.824] [mlr3] Running benchmark with 5 resampling iterations
INFO  [06:45:42.829] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
Growing trees.. Progress: 65%. Estimated remaining time: 16 seconds.
INFO  [06:46:31.713] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
Growing trees.. Progress: 73%. Estimated remaining time: 11 seconds.
INFO  [06:47:14.719] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
Growing trees.. Progress: 71%. Estimated remaining time: 12 seconds.
INFO  [06:47:59.456] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
Growing trees.. Progress: 70%. Estimated remaining time: 13 seconds.
INFO  [06:48:44.409] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
Growing trees.. Progress: 70%. Estimated remaining time: 13 seconds.
INFO  [06:49:29.630] [mlr3] Finished benchmark
INFO  [06:49:29.662] [bbotk] Result of batch 9:
INFO  [06:49:29.665] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [06:49:29.665] [bbotk]        0.75    TRUE               1       500   0.9493834        0      0
INFO  [06:49:29.665] [bbotk]  runtime_learners                                uhash
INFO  [06:49:29.665] [bbotk]           226.734 cb746bec-eb40-4752-9a4d-25db2dcc01dc
INFO  [06:49:29.667] [bbotk] Evaluating 1 configuration(s)
INFO  [06:49:29.676] [mlr3] Running benchmark with 5 resampling iterations
INFO  [06:49:29.682] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
Growing trees.. Progress: 75%. Estimated remaining time: 10 seconds.
INFO  [06:50:12.085] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
Growing trees.. Progress: 75%. Estimated remaining time: 10 seconds.
INFO  [06:50:54.216] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
Growing trees.. Progress: 75%. Estimated remaining time: 10 seconds.
INFO  [06:51:36.773] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
Growing trees.. Progress: 76%. Estimated remaining time: 9 seconds.
INFO  [06:52:18.476] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
Growing trees.. Progress: 73%. Estimated remaining time: 11 seconds.
INFO  [06:53:01.899] [mlr3] Finished benchmark
INFO  [06:53:01.932] [bbotk] Result of batch 10:
INFO  [06:53:01.936] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [06:53:01.936] [bbotk]           1   FALSE            0.55       500   0.9515409        0      0
INFO  [06:53:01.936] [bbotk]  runtime_learners                                uhash
INFO  [06:53:01.936] [bbotk]           212.146 cd950cef-e4ec-4380-84ba-a7878fab7de6
INFO  [06:53:01.937] [bbotk] Evaluating 1 configuration(s)
INFO  [06:53:01.946] [mlr3] Running benchmark with 5 resampling iterations
INFO  [06:53:01.952] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [06:53:07.211] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [06:53:12.515] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [06:53:17.801] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [06:53:23.189] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [06:53:28.538] [mlr3] Finished benchmark
INFO  [06:53:28.573] [bbotk] Result of batch 11:
INFO  [06:53:28.576] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [06:53:28.576] [bbotk]           0    TRUE            0.55      1500   0.9531351        0      0
INFO  [06:53:28.576] [bbotk]  runtime_learners                                uhash
INFO  [06:53:28.576] [bbotk]            26.518 6e56f3b7-7f9c-4d42-9ac2-637d207cdfa1
INFO  [06:53:28.578] [bbotk] Evaluating 1 configuration(s)
INFO  [06:53:28.587] [mlr3] Running benchmark with 5 resampling iterations
INFO  [06:53:28.594] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
Growing trees.. Progress: 39%. Estimated remaining time: 47 seconds.
Growing trees.. Progress: 78%. Estimated remaining time: 17 seconds.
INFO  [06:54:51.807] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
Growing trees.. Progress: 40%. Estimated remaining time: 46 seconds.
Growing trees.. Progress: 80%. Estimated remaining time: 15 seconds.
INFO  [06:56:12.363] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
Growing trees.. Progress: 39%. Estimated remaining time: 48 seconds.
Growing trees.. Progress: 77%. Estimated remaining time: 18 seconds.
INFO  [06:57:36.587] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
Growing trees.. Progress: 38%. Estimated remaining time: 50 seconds.
Growing trees.. Progress: 77%. Estimated remaining time: 18 seconds.
INFO  [06:59:00.502] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
Growing trees.. Progress: 45%. Estimated remaining time: 38 seconds.
Growing trees.. Progress: 87%. Estimated remaining time: 8 seconds.
INFO  [07:00:15.094] [mlr3] Finished benchmark
INFO  [07:00:15.127] [bbotk] Result of batch 12:
INFO  [07:00:15.130] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [07:00:15.130] [bbotk]         0.5   FALSE            0.55      2000   0.9584021        0      0
INFO  [07:00:15.130] [bbotk]  runtime_learners                                uhash
INFO  [07:00:15.130] [bbotk]           406.423 3639c4f4-7631-42b2-a0af-65041766cefe
INFO  [07:00:15.132] [bbotk] Evaluating 1 configuration(s)
INFO  [07:00:15.141] [mlr3] Running benchmark with 5 resampling iterations
INFO  [07:00:15.148] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [07:00:15.259] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [07:00:15.381] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [07:00:15.511] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [07:00:15.616] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [07:00:15.717] [mlr3] Finished benchmark
INFO  [07:00:15.746] [bbotk] Result of batch 13:
INFO  [07:00:15.749] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [07:00:15.749] [bbotk]         0.5   FALSE           0.325         1   0.7306711        0      0
INFO  [07:00:15.749] [bbotk]  runtime_learners                                uhash
INFO  [07:00:15.749] [bbotk]             0.495 3728426f-134f-4d72-a24c-3c63cb2d8276
INFO  [07:00:15.750] [bbotk] Evaluating 1 configuration(s)
INFO  [07:00:15.759] [mlr3] Running benchmark with 5 resampling iterations
INFO  [07:00:15.764] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [07:00:49.092] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
Growing trees.. Progress: 76%. Estimated remaining time: 9 seconds.
INFO  [07:01:32.514] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
Growing trees.. Progress: 94%. Estimated remaining time: 2 seconds.
INFO  [07:02:08.424] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
Growing trees.. Progress: 93%. Estimated remaining time: 2 seconds.
INFO  [07:02:44.485] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
Growing trees.. Progress: 92%. Estimated remaining time: 2 seconds.
INFO  [07:03:20.845] [mlr3] Finished benchmark
INFO  [07:03:20.879] [bbotk] Result of batch 14:
INFO  [07:03:20.882] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [07:03:20.882] [bbotk]        0.25   FALSE            0.55      1500   0.9613574        0      0
INFO  [07:03:20.882] [bbotk]  runtime_learners                                uhash
INFO  [07:03:20.882] [bbotk]           185.004 f9e8d391-d8c4-4415-a965-8cd6a290fa2a
INFO  [07:03:20.883] [bbotk] Evaluating 1 configuration(s)
INFO  [07:03:20.893] [mlr3] Running benchmark with 5 resampling iterations
INFO  [07:03:20.899] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [07:03:21.041] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [07:03:21.163] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [07:03:21.274] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [07:03:21.399] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [07:03:21.525] [mlr3] Finished benchmark
INFO  [07:03:21.554] [bbotk] Result of batch 15:
INFO  [07:03:21.557] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [07:03:21.557] [bbotk]        0.75   FALSE           0.325         1   0.7608668        0      0
INFO  [07:03:21.557] [bbotk]  runtime_learners                                uhash
INFO  [07:03:21.557] [bbotk]             0.564 7adb7c85-2bfd-47c4-aa49-9065e1173993
INFO  [07:03:21.558] [bbotk] Evaluating 1 configuration(s)
INFO  [07:03:21.567] [mlr3] Running benchmark with 5 resampling iterations
INFO  [07:03:21.572] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
Growing trees.. Progress: 24%. Estimated remaining time: 1 minute, 37 seconds.
Growing trees.. Progress: 48%. Estimated remaining time: 1 minute, 6 seconds.
Growing trees.. Progress: 73%. Estimated remaining time: 34 seconds.
Growing trees.. Progress: 97%. Estimated remaining time: 3 seconds.
INFO  [07:05:31.269] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
Growing trees.. Progress: 22%. Estimated remaining time: 1 minute, 49 seconds.
Growing trees.. Progress: 44%. Estimated remaining time: 1 minute, 19 seconds.
Growing trees.. Progress: 66%. Estimated remaining time: 48 seconds.
Growing trees.. Progress: 87%. Estimated remaining time: 17 seconds.
INFO  [07:07:55.546] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
Growing trees.. Progress: 25%. Estimated remaining time: 1 minute, 33 seconds.
Growing trees.. Progress: 49%. Estimated remaining time: 1 minute, 3 seconds.
Growing trees.. Progress: 74%. Estimated remaining time: 32 seconds.
Growing trees.. Progress: 99%. Estimated remaining time: 1 seconds.
INFO  [07:10:03.053] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
Growing trees.. Progress: 25%. Estimated remaining time: 1 minute, 31 seconds.
Growing trees.. Progress: 51%. Estimated remaining time: 1 minute, 0 seconds.
Growing trees.. Progress: 76%. Estimated remaining time: 29 seconds.
INFO  [07:12:08.050] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
Growing trees.. Progress: 25%. Estimated remaining time: 1 minute, 33 seconds.
Growing trees.. Progress: 50%. Estimated remaining time: 1 minute, 1 seconds.
Growing trees.. Progress: 75%. Estimated remaining time: 30 seconds.
INFO  [07:14:12.637] [mlr3] Finished benchmark
INFO  [07:14:12.667] [bbotk] Result of batch 16:
INFO  [07:14:12.670] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [07:14:12.670] [bbotk]        0.75   FALSE           0.775      1500   0.9520244        0      0
INFO  [07:14:12.670] [bbotk]  runtime_learners                                uhash
INFO  [07:14:12.670] [bbotk]           650.995 aef6143d-2189-4599-bcaa-d086a8003da5
INFO  [07:14:12.672] [bbotk] Evaluating 1 configuration(s)
INFO  [07:14:12.680] [mlr3] Running benchmark with 5 resampling iterations
INFO  [07:14:12.686] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [07:14:12.784] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [07:14:12.891] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [07:14:12.991] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [07:14:13.102] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [07:14:13.202] [mlr3] Finished benchmark
INFO  [07:14:13.232] [bbotk] Result of batch 17:
INFO  [07:14:13.234] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [07:14:13.234] [bbotk]        0.25    TRUE           0.325         1   0.7563728        0      0
INFO  [07:14:13.234] [bbotk]  runtime_learners                                uhash
INFO  [07:14:13.234] [bbotk]             0.463 2f81163c-fd3b-4d7e-97fb-c268918d9132
INFO  [07:14:13.236] [bbotk] Evaluating 1 configuration(s)
INFO  [07:14:13.244] [mlr3] Running benchmark with 5 resampling iterations
INFO  [07:14:13.250] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [07:14:17.074] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [07:14:20.965] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [07:14:24.802] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [07:14:28.658] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [07:14:32.486] [mlr3] Finished benchmark
INFO  [07:14:32.518] [bbotk] Result of batch 18:
INFO  [07:14:32.521] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [07:14:32.521] [bbotk]           0   FALSE               1      1000   0.9538355        0      0
INFO  [07:14:32.521] [bbotk]  runtime_learners                                uhash
INFO  [07:14:32.521] [bbotk]            19.174 a54445bc-8809-4c22-8ba0-509846a6cc13
INFO  [07:14:32.522] [bbotk] Evaluating 1 configuration(s)
INFO  [07:14:32.531] [mlr3] Running benchmark with 5 resampling iterations
INFO  [07:14:32.537] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [07:14:56.480] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [07:15:19.414] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [07:15:43.910] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [07:16:08.889] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [07:16:35.065] [mlr3] Finished benchmark
INFO  [07:16:35.101] [bbotk] Result of batch 19:
INFO  [07:16:35.104] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [07:16:35.104] [bbotk]         0.5   FALSE           0.325      1000    0.958241        0      0
INFO  [07:16:35.104] [bbotk]  runtime_learners                                uhash
INFO  [07:16:35.104] [bbotk]           122.456 7505bf55-262a-442b-87d7-edc399044dd9
INFO  [07:16:35.106] [bbotk] Evaluating 1 configuration(s)
INFO  [07:16:35.115] [mlr3] Running benchmark with 5 resampling iterations
INFO  [07:16:35.121] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
Growing trees.. Progress: 31%. Estimated remaining time: 1 minute, 7 seconds.
Growing trees.. Progress: 61%. Estimated remaining time: 38 seconds.
Growing trees.. Progress: 92%. Estimated remaining time: 8 seconds.
INFO  [07:18:17.263] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
Growing trees.. Progress: 35%. Estimated remaining time: 57 seconds.
Growing trees.. Progress: 70%. Estimated remaining time: 26 seconds.
INFO  [07:19:47.438] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
Growing trees.. Progress: 36%. Estimated remaining time: 55 seconds.
Growing trees.. Progress: 73%. Estimated remaining time: 23 seconds.
INFO  [07:21:14.989] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
Growing trees.. Progress: 37%. Estimated remaining time: 52 seconds.
Growing trees.. Progress: 74%. Estimated remaining time: 21 seconds.
INFO  [07:22:40.273] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
Growing trees.. Progress: 37%. Estimated remaining time: 52 seconds.
Growing trees.. Progress: 74%. Estimated remaining time: 21 seconds.
INFO  [07:24:06.232] [mlr3] Finished benchmark
INFO  [07:24:06.265] [bbotk] Result of batch 20:
INFO  [07:24:06.269] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [07:24:06.269] [bbotk]           1   FALSE               1       500   0.7544277        0      0
INFO  [07:24:06.269] [bbotk]  runtime_learners                                uhash
INFO  [07:24:06.269] [bbotk]           451.037 c6797fa0-7381-4eb9-a6e3-f4f5c0812e0d
INFO  [07:24:06.270] [bbotk] Evaluating 1 configuration(s)
INFO  [07:24:06.280] [mlr3] Running benchmark with 5 resampling iterations
INFO  [07:24:06.286] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [07:24:06.398] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [07:24:06.488] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [07:24:06.576] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [07:24:06.667] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [07:24:06.752] [mlr3] Finished benchmark
INFO  [07:24:06.782] [bbotk] Result of batch 21:
INFO  [07:24:06.785] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [07:24:06.785] [bbotk]        0.25   FALSE             0.1         1   0.7393188        0      0
INFO  [07:24:06.785] [bbotk]  runtime_learners                                uhash
INFO  [07:24:06.785] [bbotk]             0.409 6856c351-2578-4416-93dd-1f92b0b3c3b0
INFO  [07:24:06.786] [bbotk] Evaluating 1 configuration(s)
INFO  [07:24:06.795] [mlr3] Running benchmark with 5 resampling iterations
INFO  [07:24:06.800] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
Growing trees.. Progress: 26%. Estimated remaining time: 1 minute, 30 seconds.
Growing trees.. Progress: 49%. Estimated remaining time: 1 minute, 3 seconds.
Growing trees.. Progress: 74%. Estimated remaining time: 33 seconds.
Growing trees.. Progress: 98%. Estimated remaining time: 2 seconds.
INFO  [07:26:15.375] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
Growing trees.. Progress: 26%. Estimated remaining time: 1 minute, 29 seconds.
Growing trees.. Progress: 50%. Estimated remaining time: 1 minute, 2 seconds.
Growing trees.. Progress: 74%. Estimated remaining time: 32 seconds.
Growing trees.. Progress: 99%. Estimated remaining time: 1 seconds.
INFO  [07:28:22.474] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
Growing trees.. Progress: 26%. Estimated remaining time: 1 minute, 27 seconds.
Growing trees.. Progress: 50%. Estimated remaining time: 1 minute, 2 seconds.
Growing trees.. Progress: 74%. Estimated remaining time: 33 seconds.
Growing trees.. Progress: 97%. Estimated remaining time: 4 seconds.
INFO  [07:30:33.128] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
Growing trees.. Progress: 25%. Estimated remaining time: 1 minute, 35 seconds.
Growing trees.. Progress: 48%. Estimated remaining time: 1 minute, 6 seconds.
Growing trees.. Progress: 71%. Estimated remaining time: 37 seconds.
Growing trees.. Progress: 94%. Estimated remaining time: 7 seconds.
INFO  [07:32:46.337] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
Growing trees.. Progress: 27%. Estimated remaining time: 1 minute, 23 seconds.
Growing trees.. Progress: 52%. Estimated remaining time: 56 seconds.
Growing trees.. Progress: 78%. Estimated remaining time: 26 seconds.
INFO  [07:34:48.234] [mlr3] Finished benchmark
INFO  [07:34:48.265] [bbotk] Result of batch 22:
INFO  [07:34:48.268] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [07:34:48.268] [bbotk]         0.5   FALSE               1      1500   0.9538994        0      0
INFO  [07:34:48.268] [bbotk]  runtime_learners                                uhash
INFO  [07:34:48.268] [bbotk]           640.593 6f3bb8ca-8412-463a-8ce2-bd22d1d6989b
INFO  [07:34:48.270] [bbotk] Evaluating 1 configuration(s)
INFO  [07:34:48.279] [mlr3] Running benchmark with 5 resampling iterations
INFO  [07:34:48.285] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
Growing trees.. Progress: 34%. Estimated remaining time: 59 seconds.
Growing trees.. Progress: 67%. Estimated remaining time: 30 seconds.
Growing trees.. Progress: 99%. Estimated remaining time: 1 seconds.
INFO  [07:36:23.965] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
Growing trees.. Progress: 34%. Estimated remaining time: 59 seconds.
Growing trees.. Progress: 67%. Estimated remaining time: 30 seconds.
Growing trees.. Progress: 99%. Estimated remaining time: 1 seconds.
INFO  [07:37:59.616] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
Growing trees.. Progress: 32%. Estimated remaining time: 1 minute, 5 seconds.
Growing trees.. Progress: 63%. Estimated remaining time: 37 seconds.
Growing trees.. Progress: 93%. Estimated remaining time: 7 seconds.
INFO  [07:39:41.586] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
Growing trees.. Progress: 34%. Estimated remaining time: 1 minute, 0 seconds.
Growing trees.. Progress: 66%. Estimated remaining time: 31 seconds.
Growing trees.. Progress: 98%. Estimated remaining time: 1 seconds.
INFO  [07:41:17.865] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
Growing trees.. Progress: 33%. Estimated remaining time: 1 minute, 4 seconds.
Growing trees.. Progress: 64%. Estimated remaining time: 35 seconds.
Growing trees.. Progress: 94%. Estimated remaining time: 5 seconds.
INFO  [07:42:58.121] [mlr3] Finished benchmark
INFO  [07:42:58.154] [bbotk] Result of batch 23:
INFO  [07:42:58.157] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [07:42:58.157] [bbotk]        0.75    TRUE               1      1000   0.9542354        0      0
INFO  [07:42:58.157] [bbotk]  runtime_learners                                uhash
INFO  [07:42:58.157] [bbotk]            489.77 89e5aabd-61dc-47a3-9703-fe71879f7340
INFO  [07:42:58.159] [bbotk] Evaluating 1 configuration(s)
INFO  [07:42:58.168] [mlr3] Running benchmark with 5 resampling iterations
INFO  [07:42:58.173] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [07:43:06.128] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [07:43:14.247] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [07:43:22.434] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [07:43:30.643] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [07:43:38.500] [mlr3] Finished benchmark
INFO  [07:43:38.536] [bbotk] Result of batch 24:
INFO  [07:43:38.539] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [07:43:38.539] [bbotk]           0   FALSE           0.775      2000   0.9532055        0      0
INFO  [07:43:38.539] [bbotk]  runtime_learners                                uhash
INFO  [07:43:38.539] [bbotk]             40.26 9846ef59-8405-46e7-93ac-5adae5e5c9d1
INFO  [07:43:38.541] [bbotk] Evaluating 1 configuration(s)
INFO  [07:43:38.550] [mlr3] Running benchmark with 5 resampling iterations
INFO  [07:43:38.557] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [07:43:44.606] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [07:43:50.664] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [07:43:56.771] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [07:44:02.891] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [07:44:08.961] [mlr3] Finished benchmark
INFO  [07:44:08.995] [bbotk] Result of batch 25:
INFO  [07:44:08.998] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [07:44:08.998] [bbotk]           0    TRUE           0.325      2000   0.9529221        0      0
INFO  [07:44:08.998] [bbotk]  runtime_learners                                uhash
INFO  [07:44:08.998] [bbotk]            30.331 4957437a-f5a8-4eea-bcab-981d4067b5ba
INFO  [07:44:08.999] [bbotk] Evaluating 1 configuration(s)
INFO  [07:44:09.008] [mlr3] Running benchmark with 5 resampling iterations
INFO  [07:44:09.014] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [07:44:14.912] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [07:44:20.823] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [07:44:26.778] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [07:44:32.772] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [07:44:38.524] [mlr3] Finished benchmark
INFO  [07:44:38.559] [bbotk] Result of batch 26:
INFO  [07:44:38.562] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [07:44:38.562] [bbotk]           0   FALSE            0.55      1500   0.9533132        0      0
INFO  [07:44:38.562] [bbotk]  runtime_learners                                uhash
INFO  [07:44:38.562] [bbotk]            29.435 ff044c23-bf39-4cf1-9216-d868015a4e86
INFO  [07:44:38.563] [bbotk] Evaluating 1 configuration(s)
INFO  [07:44:38.573] [mlr3] Running benchmark with 5 resampling iterations
INFO  [07:44:38.579] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [07:44:40.039] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [07:44:41.463] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [07:44:42.922] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [07:44:44.359] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [07:44:45.851] [mlr3] Finished benchmark
INFO  [07:44:45.882] [bbotk] Result of batch 27:
INFO  [07:44:45.885] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [07:44:45.885] [bbotk]           0    TRUE           0.325       500   0.9530859        0      0
INFO  [07:44:45.885] [bbotk]  runtime_learners                                uhash
INFO  [07:44:45.885] [bbotk]             7.213 06ecfd5a-e9cb-4c33-82f1-4f86b627c21c
INFO  [07:44:45.886] [bbotk] Evaluating 1 configuration(s)
INFO  [07:44:45.895] [mlr3] Running benchmark with 5 resampling iterations
INFO  [07:44:45.900] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
Growing trees.. Progress: 54%. Estimated remaining time: 26 seconds.
INFO  [07:45:44.637] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
Growing trees.. Progress: 53%. Estimated remaining time: 27 seconds.
INFO  [07:46:45.038] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
Growing trees.. Progress: 52%. Estimated remaining time: 28 seconds.
INFO  [07:47:45.453] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
Growing trees.. Progress: 52%. Estimated remaining time: 28 seconds.
INFO  [07:48:45.442] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
Growing trees.. Progress: 53%. Estimated remaining time: 27 seconds.
INFO  [07:49:45.369] [mlr3] Finished benchmark
INFO  [07:49:45.405] [bbotk] Result of batch 28:
INFO  [07:49:45.408] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [07:49:45.408] [bbotk]         0.5    TRUE               1      1000   0.9563058        0      0
INFO  [07:49:45.408] [bbotk]  runtime_learners                                uhash
INFO  [07:49:45.408] [bbotk]           299.398 61a94f4b-5a16-4046-81d7-bd2870ca7b98
INFO  [07:49:45.410] [bbotk] Evaluating 1 configuration(s)
INFO  [07:49:45.419] [mlr3] Running benchmark with 5 resampling iterations
INFO  [07:49:45.425] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [07:50:05.944] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [07:50:27.576] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [07:50:48.727] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [07:51:10.348] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [07:51:32.001] [mlr3] Finished benchmark
INFO  [07:51:32.036] [bbotk] Result of batch 29:
INFO  [07:51:32.039] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [07:51:32.039] [bbotk]        0.25   FALSE           0.325      1500    0.962109        0      0
INFO  [07:51:32.039] [bbotk]  runtime_learners                                uhash
INFO  [07:51:32.039] [bbotk]           106.505 c5732cf0-8354-4654-8cf3-1a5154299c27
INFO  [07:51:32.040] [bbotk] Evaluating 1 configuration(s)
INFO  [07:51:32.049] [mlr3] Running benchmark with 5 resampling iterations
INFO  [07:51:32.055] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
Growing trees.. Progress: 20%. Estimated remaining time: 2 minutes, 1 seconds.
Growing trees.. Progress: 40%. Estimated remaining time: 1 minute, 31 seconds.
Growing trees.. Progress: 61%. Estimated remaining time: 1 minute, 0 seconds.
Growing trees.. Progress: 81%. Estimated remaining time: 29 seconds.
INFO  [07:54:08.796] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
Growing trees.. Progress: 20%. Estimated remaining time: 2 minutes, 2 seconds.
Growing trees.. Progress: 41%. Estimated remaining time: 1 minute, 30 seconds.
Growing trees.. Progress: 61%. Estimated remaining time: 59 seconds.
Growing trees.. Progress: 81%. Estimated remaining time: 28 seconds.
INFO  [07:56:45.339] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
Growing trees.. Progress: 20%. Estimated remaining time: 2 minutes, 1 seconds.
Growing trees.. Progress: 40%. Estimated remaining time: 1 minute, 31 seconds.
Growing trees.. Progress: 60%. Estimated remaining time: 1 minute, 1 seconds.
Growing trees.. Progress: 80%. Estimated remaining time: 30 seconds.
INFO  [07:59:22.251] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
Growing trees.. Progress: 20%. Estimated remaining time: 2 minutes, 2 seconds.
Growing trees.. Progress: 41%. Estimated remaining time: 1 minute, 30 seconds.
Growing trees.. Progress: 62%. Estimated remaining time: 57 seconds.
Growing trees.. Progress: 82%. Estimated remaining time: 27 seconds.
INFO  [08:01:56.786] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
Growing trees.. Progress: 19%. Estimated remaining time: 2 minutes, 16 seconds.
Growing trees.. Progress: 37%. Estimated remaining time: 1 minute, 46 seconds.
Growing trees.. Progress: 55%. Estimated remaining time: 1 minute, 15 seconds.
Growing trees.. Progress: 74%. Estimated remaining time: 44 seconds.
Growing trees.. Progress: 92%. Estimated remaining time: 13 seconds.
INFO  [08:04:48.858] [mlr3] Finished benchmark
INFO  [08:04:48.888] [bbotk] Result of batch 30:
INFO  [08:04:48.890] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [08:04:48.890] [bbotk]           1   FALSE            0.55      2000   0.9540639        0      0
INFO  [08:04:48.890] [bbotk]  runtime_learners                                uhash
INFO  [08:04:48.890] [bbotk]           796.687 d93fd550-f258-4299-88f8-523038af6f51
INFO  [08:04:48.892] [bbotk] Evaluating 1 configuration(s)
INFO  [08:04:48.900] [mlr3] Running benchmark with 5 resampling iterations
INFO  [08:04:48.905] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
Growing trees.. Progress: 79%. Estimated remaining time: 8 seconds.
INFO  [08:05:28.816] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
Growing trees.. Progress: 82%. Estimated remaining time: 6 seconds.
INFO  [08:06:06.931] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
Growing trees.. Progress: 74%. Estimated remaining time: 10 seconds.
INFO  [08:06:49.073] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
Growing trees.. Progress: 73%. Estimated remaining time: 11 seconds.
INFO  [08:07:32.153] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
Growing trees.. Progress: 74%. Estimated remaining time: 10 seconds.
INFO  [08:08:14.409] [mlr3] Finished benchmark
INFO  [08:08:14.692] [bbotk] Result of batch 31:
INFO  [08:08:14.695] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [08:08:14.695] [bbotk]         0.5   FALSE               1       500   0.9510164        0      0
INFO  [08:08:14.695] [bbotk]  runtime_learners                                uhash
INFO  [08:08:14.695] [bbotk]           205.436 2f2c6a2f-fe5f-4f7f-9eec-38a0830f6fe1
INFO  [08:08:14.696] [bbotk] Evaluating 1 configuration(s)
INFO  [08:08:14.704] [mlr3] Running benchmark with 5 resampling iterations
INFO  [08:08:14.709] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [08:08:20.751] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [08:08:26.681] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [08:08:32.552] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [08:08:38.449] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [08:08:44.328] [mlr3] Finished benchmark
INFO  [08:08:44.382] [bbotk] Result of batch 32:
INFO  [08:08:44.385] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [08:08:44.385] [bbotk]           0   FALSE           0.775      1500   0.9533617        0      0
INFO  [08:08:44.385] [bbotk]  runtime_learners                                uhash
INFO  [08:08:44.385] [bbotk]             29.55 865cb8f0-d3ca-4dcf-b36e-207be7cbe659
INFO  [08:08:44.387] [bbotk] Evaluating 1 configuration(s)
INFO  [08:08:44.396] [mlr3] Running benchmark with 5 resampling iterations
INFO  [08:08:44.401] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [08:08:44.550] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [08:08:44.690] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [08:08:44.841] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [08:08:44.987] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [08:08:45.137] [mlr3] Finished benchmark
INFO  [08:08:45.167] [bbotk] Result of batch 33:
INFO  [08:08:45.169] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [08:08:45.169] [bbotk]         0.5   FALSE           0.775         1   0.7536958        0      0
INFO  [08:08:45.169] [bbotk]  runtime_learners                                uhash
INFO  [08:08:45.169] [bbotk]             0.681 18f8cc37-1c75-4fb8-88fb-afeb54cc8b52
INFO  [08:08:45.171] [bbotk] Evaluating 1 configuration(s)
INFO  [08:08:45.179] [mlr3] Running benchmark with 5 resampling iterations
INFO  [08:08:45.184] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
Growing trees.. Progress: 92%. Estimated remaining time: 2 seconds.
INFO  [08:09:20.396] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
Growing trees.. Progress: 96%. Estimated remaining time: 1 seconds.
INFO  [08:09:54.038] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
Growing trees.. Progress: 98%. Estimated remaining time: 0 seconds.
INFO  [08:10:27.189] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
Growing trees.. Progress: 81%. Estimated remaining time: 7 seconds.
INFO  [08:11:05.735] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
Growing trees.. Progress: 73%. Estimated remaining time: 11 seconds.
INFO  [08:11:49.948] [mlr3] Finished benchmark
INFO  [08:11:49.982] [bbotk] Result of batch 34:
INFO  [08:11:49.985] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [08:11:49.985] [bbotk]        0.75    TRUE           0.325      1000   0.9585966        0      0
INFO  [08:11:49.985] [bbotk]  runtime_learners                                uhash
INFO  [08:11:49.985] [bbotk]           184.697 30f172d2-90d2-4c21-9aa6-0d36d69c6a8e
INFO  [08:11:49.987] [bbotk] Evaluating 1 configuration(s)
INFO  [08:11:49.995] [mlr3] Running benchmark with 5 resampling iterations
INFO  [08:11:50.001] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
Growing trees.. Progress: 25%. Estimated remaining time: 1 minute, 33 seconds.
Growing trees.. Progress: 50%. Estimated remaining time: 1 minute, 1 seconds.
Growing trees.. Progress: 75%. Estimated remaining time: 30 seconds.
INFO  [08:13:54.548] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
Growing trees.. Progress: 28%. Estimated remaining time: 1 minute, 19 seconds.
Growing trees.. Progress: 56%. Estimated remaining time: 49 seconds.
Growing trees.. Progress: 83%. Estimated remaining time: 18 seconds.
INFO  [08:15:47.801] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
Growing trees.. Progress: 26%. Estimated remaining time: 1 minute, 30 seconds.
Growing trees.. Progress: 51%. Estimated remaining time: 58 seconds.
Growing trees.. Progress: 77%. Estimated remaining time: 27 seconds.
INFO  [08:17:49.691] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
Growing trees.. Progress: 26%. Estimated remaining time: 1 minute, 30 seconds.
Growing trees.. Progress: 51%. Estimated remaining time: 59 seconds.
Growing trees.. Progress: 77%. Estimated remaining time: 28 seconds.
INFO  [08:19:51.535] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
Growing trees.. Progress: 26%. Estimated remaining time: 1 minute, 29 seconds.
Growing trees.. Progress: 51%. Estimated remaining time: 58 seconds.
Growing trees.. Progress: 77%. Estimated remaining time: 27 seconds.
INFO  [08:21:53.510] [mlr3] Finished benchmark
INFO  [08:21:53.542] [bbotk] Result of batch 35:
INFO  [08:21:53.545] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [08:21:53.545] [bbotk]        0.75   FALSE               1      1000   0.9423512        0      0
INFO  [08:21:53.545] [bbotk]  runtime_learners                                uhash
INFO  [08:21:53.545] [bbotk]           603.438 86af5c3d-35ee-4bf7-93d4-025afe0177d9
INFO  [08:21:53.546] [bbotk] Evaluating 1 configuration(s)
INFO  [08:21:53.555] [mlr3] Running benchmark with 5 resampling iterations
INFO  [08:21:53.561] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [08:21:56.963] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [08:22:00.500] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [08:22:03.973] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [08:22:07.463] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [08:22:10.903] [mlr3] Finished benchmark
INFO  [08:22:10.936] [bbotk] Result of batch 36:
INFO  [08:22:10.938] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [08:22:10.938] [bbotk]           0    TRUE            0.55      1000   0.9531165        0      0
INFO  [08:22:10.938] [bbotk]  runtime_learners                                uhash
INFO  [08:22:10.938] [bbotk]            17.282 a6baa73d-4bc8-4e13-87fc-a63c1c8c3efa
INFO  [08:22:10.940] [bbotk] Evaluating 1 configuration(s)
INFO  [08:22:10.948] [mlr3] Running benchmark with 5 resampling iterations
INFO  [08:22:10.954] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [08:22:18.215] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [08:22:25.858] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [08:22:33.404] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [08:22:40.881] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [08:22:48.488] [mlr3] Finished benchmark
INFO  [08:22:48.522] [bbotk] Result of batch 37:
INFO  [08:22:48.525] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [08:22:48.525] [bbotk]        0.25    TRUE             0.1      1500   0.9615538        0      0
INFO  [08:22:48.525] [bbotk]  runtime_learners                                uhash
INFO  [08:22:48.525] [bbotk]            37.465 f04d31c3-21b7-474c-9552-c3acc3c511d0
INFO  [08:22:48.527] [bbotk] Evaluating 1 configuration(s)
INFO  [08:22:48.536] [mlr3] Running benchmark with 5 resampling iterations
INFO  [08:22:48.542] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
Growing trees.. Progress: 44%. Estimated remaining time: 40 seconds.
Growing trees.. Progress: 87%. Estimated remaining time: 9 seconds.
INFO  [08:24:01.830] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
Growing trees.. Progress: 43%. Estimated remaining time: 40 seconds.
Growing trees.. Progress: 87%. Estimated remaining time: 9 seconds.
INFO  [08:25:14.563] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
Growing trees.. Progress: 46%. Estimated remaining time: 35 seconds.
Growing trees.. Progress: 93%. Estimated remaining time: 4 seconds.
INFO  [08:26:22.904] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
Growing trees.. Progress: 46%. Estimated remaining time: 36 seconds.
Growing trees.. Progress: 92%. Estimated remaining time: 5 seconds.
INFO  [08:27:32.240] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
Growing trees.. Progress: 43%. Estimated remaining time: 40 seconds.
Growing trees.. Progress: 87%. Estimated remaining time: 9 seconds.
INFO  [08:28:45.359] [mlr3] Finished benchmark
INFO  [08:28:45.395] [bbotk] Result of batch 38:
INFO  [08:28:45.398] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [08:28:45.398] [bbotk]        0.75    TRUE           0.775      1000     0.95398        0      0
INFO  [08:28:45.398] [bbotk]  runtime_learners                                uhash
INFO  [08:28:45.398] [bbotk]           356.748 59a2a29a-6e1f-41bd-aaa5-945688f49c24
INFO  [08:28:45.399] [bbotk] Evaluating 1 configuration(s)
INFO  [08:28:45.408] [mlr3] Running benchmark with 5 resampling iterations
INFO  [08:28:45.414] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
Growing trees.. Progress: 53%. Estimated remaining time: 27 seconds.
INFO  [08:29:47.136] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
Growing trees.. Progress: 50%. Estimated remaining time: 30 seconds.
INFO  [08:30:52.164] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
Growing trees.. Progress: 48%. Estimated remaining time: 33 seconds.
Growing trees.. Progress: 96%. Estimated remaining time: 2 seconds.
INFO  [08:31:59.855] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
Growing trees.. Progress: 50%. Estimated remaining time: 30 seconds.
INFO  [08:33:04.454] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
Growing trees.. Progress: 48%. Estimated remaining time: 33 seconds.
Growing trees.. Progress: 97%. Estimated remaining time: 2 seconds.
INFO  [08:34:11.600] [mlr3] Finished benchmark
INFO  [08:34:11.642] [bbotk] Result of batch 39:
INFO  [08:34:11.645] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [08:34:11.645] [bbotk]        0.25   FALSE           0.775      2000   0.9611884        0      0
INFO  [08:34:11.645] [bbotk]  runtime_learners                                uhash
INFO  [08:34:11.645] [bbotk]           326.101 fc04294a-e15d-4f5f-a98a-9740ef3631b2
INFO  [08:34:11.647] [bbotk] Evaluating 1 configuration(s)
INFO  [08:34:11.656] [mlr3] Running benchmark with 5 resampling iterations
INFO  [08:34:11.662] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [08:34:24.430] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [08:34:37.704] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [08:34:50.116] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [08:35:03.061] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [08:35:15.867] [mlr3] Finished benchmark
INFO  [08:35:15.904] [bbotk] Result of batch 40:
INFO  [08:35:15.907] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [08:35:15.907] [bbotk]        0.75   FALSE             0.1      1000   0.9603991        0      0
INFO  [08:35:15.907] [bbotk]  runtime_learners                                uhash
INFO  [08:35:15.907] [bbotk]            64.134 e14a3d3f-526d-4d88-b2f2-8482951f82c9
INFO  [08:35:15.909] [bbotk] Evaluating 1 configuration(s)
INFO  [08:35:15.918] [mlr3] Running benchmark with 5 resampling iterations
INFO  [08:35:15.924] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
Growing trees.. Progress: 87%. Estimated remaining time: 4 seconds.
INFO  [08:35:52.196] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
Growing trees.. Progress: 94%. Estimated remaining time: 1 seconds.
INFO  [08:36:25.881] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
Growing trees.. Progress: 94%. Estimated remaining time: 1 seconds.
INFO  [08:36:59.605] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
Growing trees.. Progress: 95%. Estimated remaining time: 1 seconds.
INFO  [08:37:33.127] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
Growing trees.. Progress: 93%. Estimated remaining time: 2 seconds.
INFO  [08:38:07.293] [mlr3] Finished benchmark
INFO  [08:38:07.362] [bbotk] Result of batch 41:
INFO  [08:38:07.365] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [08:38:07.365] [bbotk]           1    TRUE            0.55       500   0.9505037        0      0
INFO  [08:38:07.365] [bbotk]  runtime_learners                                uhash
INFO  [08:38:07.365] [bbotk]           171.296 994e6f0c-6635-4599-b084-09b96ab440c4
INFO  [08:38:07.367] [bbotk] Evaluating 1 configuration(s)
INFO  [08:38:07.376] [mlr3] Running benchmark with 5 resampling iterations
INFO  [08:38:07.382] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
Growing trees.. Progress: 27%. Estimated remaining time: 1 minute, 22 seconds.
Growing trees.. Progress: 55%. Estimated remaining time: 51 seconds.
Growing trees.. Progress: 82%. Estimated remaining time: 20 seconds.
INFO  [08:40:03.715] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
Growing trees.. Progress: 26%. Estimated remaining time: 1 minute, 28 seconds.
Growing trees.. Progress: 52%. Estimated remaining time: 56 seconds.
Growing trees.. Progress: 78%. Estimated remaining time: 25 seconds.
INFO  [08:42:05.426] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
Growing trees.. Progress: 26%. Estimated remaining time: 1 minute, 29 seconds.
Growing trees.. Progress: 51%. Estimated remaining time: 58 seconds.
Growing trees.. Progress: 78%. Estimated remaining time: 26 seconds.
INFO  [08:44:08.306] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
Growing trees.. Progress: 26%. Estimated remaining time: 1 minute, 28 seconds.
Growing trees.. Progress: 52%. Estimated remaining time: 56 seconds.
Growing trees.. Progress: 78%. Estimated remaining time: 26 seconds.
INFO  [08:46:10.562] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
Growing trees.. Progress: 26%. Estimated remaining time: 1 minute, 28 seconds.
Growing trees.. Progress: 52%. Estimated remaining time: 57 seconds.
Growing trees.. Progress: 78%. Estimated remaining time: 26 seconds.
INFO  [08:48:13.428] [mlr3] Finished benchmark
INFO  [08:48:13.464] [bbotk] Result of batch 42:
INFO  [08:48:13.467] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [08:48:13.467] [bbotk]         0.5    TRUE               1      2000   0.9579935        0      0
INFO  [08:48:13.467] [bbotk]  runtime_learners                                uhash
INFO  [08:48:13.467] [bbotk]            605.97 e49603ed-ecef-4610-a48c-0d0e3ddbc1da
INFO  [08:48:13.469] [bbotk] Evaluating 1 configuration(s)
INFO  [08:48:13.478] [mlr3] Running benchmark with 5 resampling iterations
INFO  [08:48:13.484] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
Growing trees.. Progress: 64%. Estimated remaining time: 17 seconds.
INFO  [08:49:05.834] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
Growing trees.. Progress: 67%. Estimated remaining time: 15 seconds.
INFO  [08:49:55.898] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
Growing trees.. Progress: 64%. Estimated remaining time: 17 seconds.
INFO  [08:50:47.336] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
Growing trees.. Progress: 64%. Estimated remaining time: 17 seconds.
INFO  [08:51:39.209] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
Growing trees.. Progress: 64%. Estimated remaining time: 17 seconds.
INFO  [08:52:31.507] [mlr3] Finished benchmark
INFO  [08:52:31.542] [bbotk] Result of batch 43:
INFO  [08:52:31.545] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [08:52:31.545] [bbotk]         0.5   FALSE           0.325      2000   0.9600258        0      0
INFO  [08:52:31.545] [bbotk]  runtime_learners                                uhash
INFO  [08:52:31.545] [bbotk]           257.956 08e972e3-c53e-4be5-95a9-a73ba48bb791
INFO  [08:52:31.546] [bbotk] Evaluating 1 configuration(s)
INFO  [08:52:31.556] [mlr3] Running benchmark with 5 resampling iterations
INFO  [08:52:31.562] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
Growing trees.. Progress: 11%. Estimated remaining time: 4 minutes, 18 seconds.
Growing trees.. Progress: 23%. Estimated remaining time: 3 minutes, 27 seconds.
Growing trees.. Progress: 36%. Estimated remaining time: 2 minutes, 47 seconds.
Growing trees.. Progress: 48%. Estimated remaining time: 2 minutes, 14 seconds.
Growing trees.. Progress: 61%. Estimated remaining time: 1 minute, 40 seconds.
Growing trees.. Progress: 73%. Estimated remaining time: 1 minute, 9 seconds.
Growing trees.. Progress: 85%. Estimated remaining time: 37 seconds.
Growing trees.. Progress: 98%. Estimated remaining time: 5 seconds.
INFO  [08:56:47.761] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
Growing trees.. Progress: 12%. Estimated remaining time: 3 minutes, 52 seconds.
Growing trees.. Progress: 24%. Estimated remaining time: 3 minutes, 20 seconds.
Growing trees.. Progress: 35%. Estimated remaining time: 2 minutes, 50 seconds.
Growing trees.. Progress: 47%. Estimated remaining time: 2 minutes, 20 seconds.
Growing trees.. Progress: 60%. Estimated remaining time: 1 minute, 43 seconds.
Growing trees.. Progress: 73%. Estimated remaining time: 1 minute, 7 seconds.
Growing trees.. Progress: 87%. Estimated remaining time: 32 seconds.
INFO  [09:00:57.672] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
Growing trees.. Progress: 12%. Estimated remaining time: 3 minutes, 53 seconds.
Growing trees.. Progress: 23%. Estimated remaining time: 3 minutes, 26 seconds.
Growing trees.. Progress: 35%. Estimated remaining time: 2 minutes, 56 seconds.
Growing trees.. Progress: 46%. Estimated remaining time: 2 minutes, 25 seconds.
Growing trees.. Progress: 59%. Estimated remaining time: 1 minute, 49 seconds.
Growing trees.. Progress: 72%. Estimated remaining time: 1 minute, 12 seconds.
Growing trees.. Progress: 85%. Estimated remaining time: 37 seconds.
Growing trees.. Progress: 99%. Estimated remaining time: 3 seconds.
INFO  [09:05:11.681] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
Growing trees.. Progress: 12%. Estimated remaining time: 3 minutes, 52 seconds.
Growing trees.. Progress: 24%. Estimated remaining time: 3 minutes, 21 seconds.
Growing trees.. Progress: 35%. Estimated remaining time: 2 minutes, 49 seconds.
Growing trees.. Progress: 47%. Estimated remaining time: 2 minutes, 18 seconds.
Growing trees.. Progress: 61%. Estimated remaining time: 1 minute, 41 seconds.
Growing trees.. Progress: 74%. Estimated remaining time: 1 minute, 4 seconds.
Growing trees.. Progress: 89%. Estimated remaining time: 28 seconds.
INFO  [09:09:17.173] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
Growing trees.. Progress: 12%. Estimated remaining time: 3 minutes, 53 seconds.
Growing trees.. Progress: 23%. Estimated remaining time: 3 minutes, 22 seconds.
Growing trees.. Progress: 35%. Estimated remaining time: 2 minutes, 50 seconds.
Growing trees.. Progress: 47%. Estimated remaining time: 2 minutes, 19 seconds.
Growing trees.. Progress: 59%. Estimated remaining time: 1 minute, 48 seconds.
Growing trees.. Progress: 71%. Estimated remaining time: 1 minute, 17 seconds.
Growing trees.. Progress: 82%. Estimated remaining time: 47 seconds.
Growing trees.. Progress: 94%. Estimated remaining time: 15 seconds.
INFO  [09:13:44.181] [mlr3] Finished benchmark
INFO  [09:13:44.216] [bbotk] Result of batch 44:
INFO  [09:13:44.219] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [09:13:44.219] [bbotk]           1   FALSE           0.775      2000    0.948268        0      0
INFO  [09:13:44.219] [bbotk]  runtime_learners                                uhash
INFO  [09:13:44.219] [bbotk]          1272.543 707f1058-f239-4edc-9b90-642e0d02023b
INFO  [09:13:44.220] [bbotk] Evaluating 1 configuration(s)
INFO  [09:13:44.229] [mlr3] Running benchmark with 5 resampling iterations
INFO  [09:13:44.235] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
Growing trees.. Progress: 7%. Estimated remaining time: 6 minutes, 27 seconds.
Growing trees.. Progress: 15%. Estimated remaining time: 5 minutes, 55 seconds.
Growing trees.. Progress: 22%. Estimated remaining time: 5 minutes, 22 seconds.
Growing trees.. Progress: 30%. Estimated remaining time: 4 minutes, 50 seconds.
Growing trees.. Progress: 37%. Estimated remaining time: 4 minutes, 19 seconds.
Growing trees.. Progress: 45%. Estimated remaining time: 3 minutes, 47 seconds.
Growing trees.. Progress: 53%. Estimated remaining time: 3 minutes, 15 seconds.
Growing trees.. Progress: 60%. Estimated remaining time: 2 minutes, 43 seconds.
Growing trees.. Progress: 68%. Estimated remaining time: 2 minutes, 12 seconds.
Growing trees.. Progress: 75%. Estimated remaining time: 1 minute, 41 seconds.
Growing trees.. Progress: 84%. Estimated remaining time: 1 minute, 5 seconds.
Growing trees.. Progress: 92%. Estimated remaining time: 30 seconds.
INFO  [09:20:27.407] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
Growing trees.. Progress: 8%. Estimated remaining time: 5 minutes, 56 seconds.
Growing trees.. Progress: 16%. Estimated remaining time: 5 minutes, 26 seconds.
Growing trees.. Progress: 24%. Estimated remaining time: 4 minutes, 55 seconds.
Growing trees.. Progress: 32%. Estimated remaining time: 4 minutes, 24 seconds.
Growing trees.. Progress: 40%. Estimated remaining time: 3 minutes, 53 seconds.
Growing trees.. Progress: 48%. Estimated remaining time: 3 minutes, 23 seconds.
Growing trees.. Progress: 56%. Estimated remaining time: 2 minutes, 52 seconds.
Growing trees.. Progress: 64%. Estimated remaining time: 2 minutes, 21 seconds.
Growing trees.. Progress: 72%. Estimated remaining time: 1 minute, 50 seconds.
Growing trees.. Progress: 80%. Estimated remaining time: 1 minute, 16 seconds.
Growing trees.. Progress: 89%. Estimated remaining time: 40 seconds.
Growing trees.. Progress: 98%. Estimated remaining time: 5 seconds.
INFO  [09:26:48.068] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
Growing trees.. Progress: 8%. Estimated remaining time: 5 minutes, 56 seconds.
Growing trees.. Progress: 16%. Estimated remaining time: 5 minutes, 25 seconds.
Growing trees.. Progress: 24%. Estimated remaining time: 4 minutes, 54 seconds.
Growing trees.. Progress: 32%. Estimated remaining time: 4 minutes, 23 seconds.
Growing trees.. Progress: 40%. Estimated remaining time: 3 minutes, 52 seconds.
Growing trees.. Progress: 48%. Estimated remaining time: 3 minutes, 20 seconds.
Growing trees.. Progress: 56%. Estimated remaining time: 2 minutes, 49 seconds.
Growing trees.. Progress: 64%. Estimated remaining time: 2 minutes, 17 seconds.
Growing trees.. Progress: 72%. Estimated remaining time: 1 minute, 47 seconds.
Growing trees.. Progress: 81%. Estimated remaining time: 1 minute, 12 seconds.
Growing trees.. Progress: 90%. Estimated remaining time: 36 seconds.
Growing trees.. Progress: 99%. Estimated remaining time: 3 seconds.
INFO  [09:33:05.861] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
Growing trees.. Progress: 8%. Estimated remaining time: 6 minutes, 3 seconds.
Growing trees.. Progress: 16%. Estimated remaining time: 5 minutes, 34 seconds.
Growing trees.. Progress: 24%. Estimated remaining time: 5 minutes, 2 seconds.
Growing trees.. Progress: 31%. Estimated remaining time: 4 minutes, 31 seconds.
Growing trees.. Progress: 39%. Estimated remaining time: 4 minutes, 0 seconds.
Growing trees.. Progress: 47%. Estimated remaining time: 3 minutes, 29 seconds.
Growing trees.. Progress: 55%. Estimated remaining time: 2 minutes, 58 seconds.
Growing trees.. Progress: 63%. Estimated remaining time: 2 minutes, 27 seconds.
Growing trees.. Progress: 71%. Estimated remaining time: 1 minute, 56 seconds.
Growing trees.. Progress: 79%. Estimated remaining time: 1 minute, 25 seconds.
Growing trees.. Progress: 86%. Estimated remaining time: 53 seconds.
Growing trees.. Progress: 94%. Estimated remaining time: 22 seconds.
INFO  [09:39:42.914] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
Growing trees.. Progress: 8%. Estimated remaining time: 6 minutes, 1 seconds.
Growing trees.. Progress: 16%. Estimated remaining time: 5 minutes, 30 seconds.
Growing trees.. Progress: 24%. Estimated remaining time: 5 minutes, 0 seconds.
Growing trees.. Progress: 31%. Estimated remaining time: 4 minutes, 30 seconds.
Growing trees.. Progress: 39%. Estimated remaining time: 3 minutes, 59 seconds.
Growing trees.. Progress: 47%. Estimated remaining time: 3 minutes, 28 seconds.
Growing trees.. Progress: 55%. Estimated remaining time: 2 minutes, 58 seconds.
Growing trees.. Progress: 63%. Estimated remaining time: 2 minutes, 27 seconds.
Growing trees.. Progress: 71%. Estimated remaining time: 1 minute, 57 seconds.
Growing trees.. Progress: 79%. Estimated remaining time: 1 minute, 24 seconds.
Growing trees.. Progress: 88%. Estimated remaining time: 48 seconds.
Growing trees.. Progress: 96%. Estimated remaining time: 14 seconds.
INFO  [09:46:10.955] [mlr3] Finished benchmark
INFO  [09:46:10.991] [bbotk] Result of batch 45:
INFO  [09:46:10.993] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [09:46:10.993] [bbotk]           1   FALSE               1      2000   0.7544483        0      0
INFO  [09:46:10.993] [bbotk]  runtime_learners                                uhash
INFO  [09:46:10.993] [bbotk]          1946.636 7b439f01-8cf9-4bd3-9ee7-608c64d86bd2
INFO  [09:46:10.995] [bbotk] Evaluating 1 configuration(s)
INFO  [09:46:11.005] [mlr3] Running benchmark with 5 resampling iterations
INFO  [09:46:11.011] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [09:46:30.073] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [09:46:48.182] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [09:47:06.251] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [09:47:24.119] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [09:47:42.088] [mlr3] Finished benchmark
INFO  [09:47:42.120] [bbotk] Result of batch 46:
INFO  [09:47:42.123] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [09:47:42.123] [bbotk]         0.5    TRUE            0.55       500    0.957876        0      0
INFO  [09:47:42.123] [bbotk]  runtime_learners                                uhash
INFO  [09:47:42.123] [bbotk]            90.977 ca5a98a8-45d6-437e-918a-9674af3dd584
INFO  [09:47:42.125] [bbotk] Evaluating 1 configuration(s)
INFO  [09:47:42.133] [mlr3] Running benchmark with 5 resampling iterations
INFO  [09:47:42.139] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [09:47:42.231] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [09:47:42.324] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [09:47:42.417] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [09:47:42.503] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [09:47:42.586] [mlr3] Finished benchmark
INFO  [09:47:42.617] [bbotk] Result of batch 47:
INFO  [09:47:42.620] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [09:47:42.620] [bbotk]           0   FALSE               1         1   0.7711078        0      0
INFO  [09:47:42.620] [bbotk]  runtime_learners                                uhash
INFO  [09:47:42.620] [bbotk]             0.391 0d3a54ed-404f-49be-9701-950725d2cbb3
INFO  [09:47:42.621] [bbotk] Evaluating 1 configuration(s)
INFO  [09:47:42.629] [mlr3] Running benchmark with 5 resampling iterations
INFO  [09:47:42.634] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
Growing trees.. Progress: 19%. Estimated remaining time: 2 minutes, 15 seconds.
Growing trees.. Progress: 37%. Estimated remaining time: 1 minute, 43 seconds.
Growing trees.. Progress: 58%. Estimated remaining time: 1 minute, 8 seconds.
Growing trees.. Progress: 78%. Estimated remaining time: 34 seconds.
Growing trees.. Progress: 99%. Estimated remaining time: 1 seconds.
INFO  [09:50:22.295] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
Growing trees.. Progress: 18%. Estimated remaining time: 2 minutes, 22 seconds.
Growing trees.. Progress: 36%. Estimated remaining time: 1 minute, 49 seconds.
Growing trees.. Progress: 57%. Estimated remaining time: 1 minute, 10 seconds.
Growing trees.. Progress: 78%. Estimated remaining time: 35 seconds.
Growing trees.. Progress: 98%. Estimated remaining time: 2 seconds.
INFO  [09:53:02.777] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
Growing trees.. Progress: 18%. Estimated remaining time: 2 minutes, 23 seconds.
Growing trees.. Progress: 36%. Estimated remaining time: 1 minute, 51 seconds.
Growing trees.. Progress: 56%. Estimated remaining time: 1 minute, 13 seconds.
Growing trees.. Progress: 76%. Estimated remaining time: 38 seconds.
Growing trees.. Progress: 97%. Estimated remaining time: 5 seconds.
INFO  [09:55:45.980] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
Growing trees.. Progress: 18%. Estimated remaining time: 2 minutes, 17 seconds.
Growing trees.. Progress: 38%. Estimated remaining time: 1 minute, 42 seconds.
Growing trees.. Progress: 60%. Estimated remaining time: 1 minute, 3 seconds.
Growing trees.. Progress: 82%. Estimated remaining time: 27 seconds.
INFO  [09:58:18.762] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
Growing trees.. Progress: 18%. Estimated remaining time: 2 minutes, 17 seconds.
Growing trees.. Progress: 38%. Estimated remaining time: 1 minute, 42 seconds.
Growing trees.. Progress: 59%. Estimated remaining time: 1 minute, 3 seconds.
Growing trees.. Progress: 81%. Estimated remaining time: 28 seconds.
INFO  [10:00:52.783] [mlr3] Finished benchmark
INFO  [10:00:52.819] [bbotk] Result of batch 48:
INFO  [10:00:52.822] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [10:00:52.822] [bbotk]        0.75    TRUE           0.775      2000   0.9569324        0      0
INFO  [10:00:52.822] [bbotk]  runtime_learners                                uhash
INFO  [10:00:52.822] [bbotk]           790.078 be5ddd80-85f0-463f-8e9a-c660ab2581f5
INFO  [10:00:52.824] [bbotk] Evaluating 1 configuration(s)
INFO  [10:00:52.833] [mlr3] Running benchmark with 5 resampling iterations
INFO  [10:00:52.840] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [10:00:53.070] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [10:00:53.249] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [10:00:53.403] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [10:00:53.576] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [10:00:53.766] [mlr3] Finished benchmark
INFO  [10:00:53.797] [bbotk] Result of batch 49:
INFO  [10:00:53.800] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [10:00:53.800] [bbotk]        0.75    TRUE           0.775         1   0.7276384        0      0
INFO  [10:00:53.800] [bbotk]  runtime_learners                                uhash
INFO  [10:00:53.800] [bbotk]              0.87 0641d7ee-6e9d-46fa-aae1-efd32bd70428
INFO  [10:00:53.802] [bbotk] Evaluating 1 configuration(s)
INFO  [10:00:53.810] [mlr3] Running benchmark with 5 resampling iterations
INFO  [10:00:53.815] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [10:01:22.395] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [10:01:50.949] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [10:02:19.394] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [10:02:49.145] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [10:03:17.720] [mlr3] Finished benchmark
INFO  [10:03:17.771] [bbotk] Result of batch 50:
INFO  [10:03:17.775] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [10:03:17.775] [bbotk]         0.5    TRUE           0.775       500   0.9576168        0      0
INFO  [10:03:17.775] [bbotk]  runtime_learners                                uhash
INFO  [10:03:17.775] [bbotk]           143.835 ac782a9c-dca1-4e2c-ba19-41a39cff9261
INFO  [10:03:17.776] [bbotk] Evaluating 1 configuration(s)
INFO  [10:03:17.785] [mlr3] Running benchmark with 5 resampling iterations
INFO  [10:03:17.791] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [10:03:17.886] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [10:03:17.985] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [10:03:18.108] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [10:03:18.205] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [10:03:18.299] [mlr3] Finished benchmark
INFO  [10:03:18.331] [bbotk] Result of batch 51:
INFO  [10:03:18.334] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [10:03:18.334] [bbotk]         0.5   FALSE             0.1         1   0.7176685        0      0
INFO  [10:03:18.334] [bbotk]  runtime_learners                                uhash
INFO  [10:03:18.334] [bbotk]             0.452 abffa20c-0058-4026-b265-54816dbaf826
INFO  [10:03:18.336] [bbotk] Evaluating 1 configuration(s)
INFO  [10:03:18.344] [mlr3] Running benchmark with 5 resampling iterations
INFO  [10:03:18.350] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
Growing trees.. Progress: 62%. Estimated remaining time: 19 seconds.
INFO  [10:04:10.580] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
Growing trees.. Progress: 56%. Estimated remaining time: 24 seconds.
INFO  [10:05:07.685] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
Growing trees.. Progress: 57%. Estimated remaining time: 23 seconds.
INFO  [10:06:03.931] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
Growing trees.. Progress: 57%. Estimated remaining time: 23 seconds.
INFO  [10:07:00.345] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
Growing trees.. Progress: 57%. Estimated remaining time: 23 seconds.
INFO  [10:07:56.993] [mlr3] Finished benchmark
INFO  [10:07:57.029] [bbotk] Result of batch 52:
INFO  [10:07:57.032] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [10:07:57.032] [bbotk]         0.5    TRUE            0.55      1500   0.9592871        0      0
INFO  [10:07:57.032] [bbotk]  runtime_learners                                uhash
INFO  [10:07:57.032] [bbotk]           278.572 6079029f-54ad-4750-b5c0-02989234b8c0
INFO  [10:07:57.033] [bbotk] Evaluating 1 configuration(s)
INFO  [10:07:57.043] [mlr3] Running benchmark with 5 resampling iterations
INFO  [10:07:57.049] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
Growing trees.. Progress: 12%. Estimated remaining time: 3 minutes, 40 seconds.
Growing trees.. Progress: 25%. Estimated remaining time: 3 minutes, 7 seconds.
Growing trees.. Progress: 37%. Estimated remaining time: 2 minutes, 35 seconds.
Growing trees.. Progress: 50%. Estimated remaining time: 2 minutes, 4 seconds.
Growing trees.. Progress: 62%. Estimated remaining time: 1 minute, 33 seconds.
Growing trees.. Progress: 75%. Estimated remaining time: 1 minute, 2 seconds.
Growing trees.. Progress: 87%. Estimated remaining time: 31 seconds.
Growing trees.. Progress: 99%. Estimated remaining time: 1 seconds.
INFO  [10:12:09.817] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
Growing trees.. Progress: 15%. Estimated remaining time: 2 minutes, 55 seconds.
Growing trees.. Progress: 30%. Estimated remaining time: 2 minutes, 23 seconds.
Growing trees.. Progress: 45%. Estimated remaining time: 1 minute, 52 seconds.
Growing trees.. Progress: 60%. Estimated remaining time: 1 minute, 22 seconds.
Growing trees.. Progress: 75%. Estimated remaining time: 51 seconds.
Growing trees.. Progress: 90%. Estimated remaining time: 19 seconds.
INFO  [10:15:38.955] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
Growing trees.. Progress: 15%. Estimated remaining time: 2 minutes, 52 seconds.
Growing trees.. Progress: 31%. Estimated remaining time: 2 minutes, 21 seconds.
Growing trees.. Progress: 46%. Estimated remaining time: 1 minute, 49 seconds.
Growing trees.. Progress: 62%. Estimated remaining time: 1 minute, 17 seconds.
Growing trees.. Progress: 77%. Estimated remaining time: 46 seconds.
Growing trees.. Progress: 93%. Estimated remaining time: 14 seconds.
INFO  [10:19:03.278] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
Growing trees.. Progress: 16%. Estimated remaining time: 2 minutes, 38 seconds.
Growing trees.. Progress: 33%. Estimated remaining time: 2 minutes, 7 seconds.
Growing trees.. Progress: 49%. Estimated remaining time: 1 minute, 37 seconds.
Growing trees.. Progress: 65%. Estimated remaining time: 1 minute, 6 seconds.
Growing trees.. Progress: 81%. Estimated remaining time: 35 seconds.
Growing trees.. Progress: 98%. Estimated remaining time: 4 seconds.
INFO  [10:22:16.611] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
Growing trees.. Progress: 15%. Estimated remaining time: 2 minutes, 56 seconds.
Growing trees.. Progress: 30%. Estimated remaining time: 2 minutes, 25 seconds.
Growing trees.. Progress: 45%. Estimated remaining time: 1 minute, 55 seconds.
Growing trees.. Progress: 60%. Estimated remaining time: 1 minute, 24 seconds.
Growing trees.. Progress: 75%. Estimated remaining time: 52 seconds.
Growing trees.. Progress: 90%. Estimated remaining time: 21 seconds.
INFO  [10:25:47.263] [mlr3] Finished benchmark
INFO  [10:25:47.299] [bbotk] Result of batch 53:
INFO  [10:25:47.303] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [10:25:47.303] [bbotk]           1    TRUE           0.775      2000   0.9516272        0      0
INFO  [10:25:47.303] [bbotk]  runtime_learners                                uhash
INFO  [10:25:47.303] [bbotk]          1069.856 5bf2c1b0-8e17-48b7-8153-02d1bdb39f69
INFO  [10:25:47.304] [bbotk] Evaluating 1 configuration(s)
INFO  [10:25:47.314] [mlr3] Running benchmark with 5 resampling iterations
INFO  [10:25:47.320] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
Growing trees.. Progress: 79%. Estimated remaining time: 8 seconds.
INFO  [10:26:29.592] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
Growing trees.. Progress: 78%. Estimated remaining time: 8 seconds.
INFO  [10:27:12.155] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
Growing trees.. Progress: 78%. Estimated remaining time: 8 seconds.
INFO  [10:27:54.892] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
Growing trees.. Progress: 78%. Estimated remaining time: 8 seconds.
INFO  [10:28:37.671] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
Growing trees.. Progress: 76%. Estimated remaining time: 9 seconds.
INFO  [10:29:21.391] [mlr3] Finished benchmark
INFO  [10:29:21.428] [bbotk] Result of batch 54:
INFO  [10:29:21.431] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [10:29:21.431] [bbotk]         0.5   FALSE           0.325      1500    0.959571        0      0
INFO  [10:29:21.431] [bbotk]  runtime_learners                                uhash
INFO  [10:29:21.431] [bbotk]           214.002 c86a1e45-b823-4e1c-94e7-2e5990c29fc0
INFO  [10:29:21.433] [bbotk] Evaluating 1 configuration(s)
INFO  [10:29:21.442] [mlr3] Running benchmark with 5 resampling iterations
INFO  [10:29:21.448] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
Growing trees.. Progress: 70%. Estimated remaining time: 13 seconds.
INFO  [10:30:06.644] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
Growing trees.. Progress: 59%. Estimated remaining time: 21 seconds.
INFO  [10:30:59.838] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
Growing trees.. Progress: 70%. Estimated remaining time: 13 seconds.
INFO  [10:31:45.035] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
Growing trees.. Progress: 68%. Estimated remaining time: 14 seconds.
INFO  [10:32:31.838] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
Growing trees.. Progress: 72%. Estimated remaining time: 11 seconds.
INFO  [10:33:15.629] [mlr3] Finished benchmark
INFO  [10:33:15.663] [bbotk] Result of batch 55:
INFO  [10:33:15.666] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [10:33:15.666] [bbotk]        0.25   FALSE               1      1000    0.959804        0      0
INFO  [10:33:15.666] [bbotk]  runtime_learners                                uhash
INFO  [10:33:15.666] [bbotk]           234.106 eab8f95c-4e0a-46d6-91f2-948010503a05
INFO  [10:33:15.667] [bbotk] Evaluating 1 configuration(s)
INFO  [10:33:15.676] [mlr3] Running benchmark with 5 resampling iterations
INFO  [10:33:15.681] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [10:33:15.899] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [10:33:16.104] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [10:33:16.333] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [10:33:16.542] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [10:33:16.751] [mlr3] Finished benchmark
INFO  [10:33:16.782] [bbotk] Result of batch 56:
INFO  [10:33:16.785] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [10:33:16.785] [bbotk]        0.75   FALSE               1         1   0.7467414        0      0
INFO  [10:33:16.785] [bbotk]  runtime_learners                                uhash
INFO  [10:33:16.785] [bbotk]             1.009 5c7b9ef9-0e16-4159-8c33-19fd0af0ce9d
INFO  [10:33:16.786] [bbotk] Evaluating 1 configuration(s)
INFO  [10:33:16.795] [mlr3] Running benchmark with 5 resampling iterations
INFO  [10:33:16.800] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [10:33:46.377] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [10:34:14.051] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [10:34:41.810] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [10:35:09.975] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [10:35:38.260] [mlr3] Finished benchmark
INFO  [10:35:38.300] [bbotk] Result of batch 57:
INFO  [10:35:38.303] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [10:35:38.303] [bbotk]        0.25    TRUE           0.325      2000    0.961468        0      0
INFO  [10:35:38.303] [bbotk]  runtime_learners                                uhash
INFO  [10:35:38.303] [bbotk]           141.392 3e985104-0469-4396-ade6-2c6d466d6b70
INFO  [10:35:38.305] [bbotk] Evaluating 1 configuration(s)
INFO  [10:35:38.314] [mlr3] Running benchmark with 5 resampling iterations
INFO  [10:35:38.320] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
Growing trees.. Progress: 84%. Estimated remaining time: 5 seconds.
INFO  [10:36:17.613] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
Growing trees.. Progress: 86%. Estimated remaining time: 4 seconds.
INFO  [10:36:56.047] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
Growing trees.. Progress: 83%. Estimated remaining time: 6 seconds.
INFO  [10:37:36.079] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
Growing trees.. Progress: 85%. Estimated remaining time: 5 seconds.
INFO  [10:38:14.787] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
Growing trees.. Progress: 87%. Estimated remaining time: 4 seconds.
INFO  [10:38:52.965] [mlr3] Finished benchmark
INFO  [10:38:53.000] [bbotk] Result of batch 58:
INFO  [10:38:53.004] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [10:38:53.004] [bbotk]        0.25    TRUE            0.55      1500    0.961411        0      0
INFO  [10:38:53.004] [bbotk]  runtime_learners                                uhash
INFO  [10:38:53.004] [bbotk]           194.575 e14f55f4-4969-42b4-b39c-a29cb2dc4086
INFO  [10:38:53.005] [bbotk] Evaluating 1 configuration(s)
INFO  [10:38:53.015] [mlr3] Running benchmark with 5 resampling iterations
INFO  [10:38:53.021] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [10:38:57.091] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [10:39:01.568] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [10:39:05.720] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [10:39:09.686] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [10:39:13.833] [mlr3] Finished benchmark
INFO  [10:39:13.869] [bbotk] Result of batch 59:
INFO  [10:39:13.872] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [10:39:13.872] [bbotk]           0    TRUE           0.775      1000   0.9529749        0      0
INFO  [10:39:13.872] [bbotk]  runtime_learners                                uhash
INFO  [10:39:13.872] [bbotk]            20.749 0c7974c0-1eb7-4df7-a370-d5fc0164f138
INFO  [10:39:13.874] [bbotk] Evaluating 1 configuration(s)
INFO  [10:39:13.883] [mlr3] Running benchmark with 5 resampling iterations
INFO  [10:39:13.889] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [10:39:13.989] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [10:39:14.078] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [10:39:14.163] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [10:39:14.254] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [10:39:14.337] [mlr3] Finished benchmark
INFO  [10:39:14.369] [bbotk] Result of batch 60:
INFO  [10:39:14.372] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [10:39:14.372] [bbotk]           0    TRUE           0.325         1   0.7251882        0      0
INFO  [10:39:14.372] [bbotk]  runtime_learners                                uhash
INFO  [10:39:14.372] [bbotk]             0.393 7798e50b-5cca-4d06-9534-cd1260a7a485
INFO  [10:39:14.373] [bbotk] Evaluating 1 configuration(s)
INFO  [10:39:14.381] [mlr3] Running benchmark with 5 resampling iterations
INFO  [10:39:14.387] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [10:39:14.573] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [10:39:14.752] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [10:39:14.922] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [10:39:15.104] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [10:39:15.267] [mlr3] Finished benchmark
INFO  [10:39:15.297] [bbotk] Result of batch 61:
INFO  [10:39:15.300] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [10:39:15.300] [bbotk]        0.75    TRUE               1         1   0.7202544        0      0
INFO  [10:39:15.300] [bbotk]  runtime_learners                                uhash
INFO  [10:39:15.300] [bbotk]             0.822 6cb12d3b-5c55-4247-97d4-f6e0f6a0db06
INFO  [10:39:15.301] [bbotk] Evaluating 1 configuration(s)
INFO  [10:39:15.309] [mlr3] Running benchmark with 5 resampling iterations
INFO  [10:39:15.315] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [10:39:22.966] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [10:39:30.530] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [10:39:39.802] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [10:39:47.858] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [10:39:56.145] [mlr3] Finished benchmark
INFO  [10:39:56.182] [bbotk] Result of batch 62:
INFO  [10:39:56.185] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [10:39:56.185] [bbotk]        0.25   FALSE           0.325       500   0.9607568        0      0
INFO  [10:39:56.185] [bbotk]  runtime_learners                                uhash
INFO  [10:39:56.185] [bbotk]            40.762 389c2807-4486-440a-b2fc-1fee3cb3d788
INFO  [10:39:56.187] [bbotk] Evaluating 1 configuration(s)
INFO  [10:39:56.196] [mlr3] Running benchmark with 5 resampling iterations
INFO  [10:39:56.202] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [10:39:56.298] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [10:39:56.401] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [10:39:56.506] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [10:39:56.600] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [10:39:56.697] [mlr3] Finished benchmark
INFO  [10:39:56.728] [bbotk] Result of batch 63:
INFO  [10:39:56.730] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [10:39:56.730] [bbotk]         0.5    TRUE             0.1         1   0.7357396        0      0
INFO  [10:39:56.730] [bbotk]  runtime_learners                                uhash
INFO  [10:39:56.730] [bbotk]             0.437 b5fe0c14-60e5-4744-9c5e-795857d3a0a4
INFO  [10:39:56.732] [bbotk] Evaluating 1 configuration(s)
INFO  [10:39:56.741] [mlr3] Running benchmark with 5 resampling iterations
INFO  [10:39:56.746] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
Growing trees.. Progress: 40%. Estimated remaining time: 46 seconds.
Growing trees.. Progress: 80%. Estimated remaining time: 15 seconds.
INFO  [10:41:16.049] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
Growing trees.. Progress: 39%. Estimated remaining time: 48 seconds.
Growing trees.. Progress: 78%. Estimated remaining time: 17 seconds.
INFO  [10:42:37.426] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
Growing trees.. Progress: 37%. Estimated remaining time: 52 seconds.
Growing trees.. Progress: 75%. Estimated remaining time: 21 seconds.
INFO  [10:44:02.596] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
Growing trees.. Progress: 39%. Estimated remaining time: 49 seconds.
Growing trees.. Progress: 77%. Estimated remaining time: 18 seconds.
INFO  [10:45:25.202] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
Growing trees.. Progress: 38%. Estimated remaining time: 51 seconds.
Growing trees.. Progress: 75%. Estimated remaining time: 20 seconds.
INFO  [10:46:49.710] [mlr3] Finished benchmark
INFO  [10:46:49.744] [bbotk] Result of batch 64:
INFO  [10:46:49.747] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [10:46:49.747] [bbotk]        0.75    TRUE            0.55      1500   0.9568809        0      0
INFO  [10:46:49.747] [bbotk]  runtime_learners                                uhash
INFO  [10:46:49.747] [bbotk]           412.893 83352aa4-7bb2-48c4-b873-f64d52e5c9d1
INFO  [10:46:49.749] [bbotk] Evaluating 1 configuration(s)
INFO  [10:46:49.757] [mlr3] Running benchmark with 5 resampling iterations
INFO  [10:46:49.763] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [10:47:21.315] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [10:47:52.541] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [10:48:23.403] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [10:48:53.998] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [10:49:27.347] [mlr3] Finished benchmark
INFO  [10:49:27.385] [bbotk] Result of batch 65:
INFO  [10:49:27.388] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [10:49:27.388] [bbotk]        0.25   FALSE           0.325      2000   0.9617009        0      0
INFO  [10:49:27.388] [bbotk]  runtime_learners                                uhash
INFO  [10:49:27.388] [bbotk]           157.515 1384f72d-053c-4cf0-94ba-ee08215dc030
INFO  [10:49:27.389] [bbotk] Evaluating 1 configuration(s)
INFO  [10:49:27.399] [mlr3] Running benchmark with 5 resampling iterations
INFO  [10:49:27.405] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [10:49:48.186] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [10:50:07.723] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [10:50:26.318] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [10:50:45.279] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [10:51:04.901] [mlr3] Finished benchmark
INFO  [10:51:04.938] [bbotk] Result of batch 66:
INFO  [10:51:04.941] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [10:51:04.941] [bbotk]        0.75   FALSE           0.325       500   0.9564329        0      0
INFO  [10:51:04.941] [bbotk]  runtime_learners                                uhash
INFO  [10:51:04.941] [bbotk]            97.421 68d80f18-e347-468b-b868-dd13ad7b6c0f
INFO  [10:51:04.942] [bbotk] Evaluating 1 configuration(s)
INFO  [10:51:04.951] [mlr3] Running benchmark with 5 resampling iterations
INFO  [10:51:04.957] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [10:51:05.322] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [10:51:05.408] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [10:51:05.493] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [10:51:05.582] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [10:51:05.664] [mlr3] Finished benchmark
INFO  [10:51:05.695] [bbotk] Result of batch 67:
INFO  [10:51:05.698] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [10:51:05.698] [bbotk]           0    TRUE             0.1         1   0.5647726        0      0
INFO  [10:51:05.698] [bbotk]  runtime_learners                                uhash
INFO  [10:51:05.698] [bbotk]             0.648 a9c6ddab-9395-45e5-8ac4-ba31ddc63a4d
INFO  [10:51:05.699] [bbotk] Evaluating 1 configuration(s)
INFO  [10:51:05.708] [mlr3] Running benchmark with 5 resampling iterations
INFO  [10:51:05.713] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [10:51:29.207] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [10:51:51.919] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [10:52:15.084] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [10:52:37.980] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [10:53:02.774] [mlr3] Finished benchmark
INFO  [10:53:02.811] [bbotk] Result of batch 68:
INFO  [10:53:02.814] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [10:53:02.814] [bbotk]           1    TRUE           0.325       500   0.9573017        0      0
INFO  [10:53:02.814] [bbotk]  runtime_learners                                uhash
INFO  [10:53:02.814] [bbotk]            116.99 27bc2f27-e642-4b06-b218-8291fcb2a09f
INFO  [10:53:02.815] [bbotk] Evaluating 1 configuration(s)
INFO  [10:53:02.824] [mlr3] Running benchmark with 5 resampling iterations
INFO  [10:53:02.830] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
Growing trees.. Progress: 94%. Estimated remaining time: 1 seconds.
INFO  [10:53:37.274] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
Growing trees.. Progress: 95%. Estimated remaining time: 1 seconds.
INFO  [10:54:11.491] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
Growing trees.. Progress: 96%. Estimated remaining time: 1 seconds.
INFO  [10:54:45.409] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
Growing trees.. Progress: 89%. Estimated remaining time: 3 seconds.
INFO  [10:55:21.807] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
Growing trees.. Progress: 95%. Estimated remaining time: 1 seconds.
INFO  [10:55:56.115] [mlr3] Finished benchmark
INFO  [10:55:56.152] [bbotk] Result of batch 69:
INFO  [10:55:56.156] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [10:55:56.156] [bbotk]        0.25    TRUE               1      1000   0.9610516        0      0
INFO  [10:55:56.156] [bbotk]  runtime_learners                                uhash
INFO  [10:55:56.156] [bbotk]           173.216 243e1465-2631-409b-902e-1e88243674b5
INFO  [10:55:56.157] [bbotk] Evaluating 1 configuration(s)
INFO  [10:55:56.167] [mlr3] Running benchmark with 5 resampling iterations
INFO  [10:55:56.173] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [10:56:17.655] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [10:56:37.682] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [10:56:56.955] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [10:57:18.531] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [10:57:38.927] [mlr3] Finished benchmark
INFO  [10:57:38.964] [bbotk] Result of batch 70:
INFO  [10:57:38.967] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [10:57:38.967] [bbotk]        0.75   FALSE             0.1      1500   0.9607192        0      0
INFO  [10:57:38.967] [bbotk]  runtime_learners                                uhash
INFO  [10:57:38.967] [bbotk]           102.685 fee66b63-b684-4b54-96ee-4061aa92d5fc
INFO  [10:57:38.969] [bbotk] Evaluating 1 configuration(s)
INFO  [10:57:38.978] [mlr3] Running benchmark with 5 resampling iterations
INFO  [10:57:38.983] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
Growing trees.. Progress: 17%. Estimated remaining time: 2 minutes, 35 seconds.
Growing trees.. Progress: 33%. Estimated remaining time: 2 minutes, 3 seconds.
Growing trees.. Progress: 50%. Estimated remaining time: 1 minute, 32 seconds.
Growing trees.. Progress: 67%. Estimated remaining time: 1 minute, 1 seconds.
Growing trees.. Progress: 84%. Estimated remaining time: 29 seconds.
INFO  [11:00:46.023] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
Growing trees.. Progress: 16%. Estimated remaining time: 2 minutes, 41 seconds.
Growing trees.. Progress: 32%. Estimated remaining time: 2 minutes, 10 seconds.
Growing trees.. Progress: 48%. Estimated remaining time: 1 minute, 39 seconds.
Growing trees.. Progress: 64%. Estimated remaining time: 1 minute, 8 seconds.
Growing trees.. Progress: 80%. Estimated remaining time: 37 seconds.
Growing trees.. Progress: 97%. Estimated remaining time: 6 seconds.
INFO  [11:04:01.093] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
Growing trees.. Progress: 16%. Estimated remaining time: 2 minutes, 37 seconds.
Growing trees.. Progress: 33%. Estimated remaining time: 2 minutes, 5 seconds.
Growing trees.. Progress: 50%. Estimated remaining time: 1 minute, 33 seconds.
Growing trees.. Progress: 67%. Estimated remaining time: 1 minute, 2 seconds.
Growing trees.. Progress: 84%. Estimated remaining time: 29 seconds.
INFO  [11:07:08.296] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
Growing trees.. Progress: 17%. Estimated remaining time: 2 minutes, 33 seconds.
Growing trees.. Progress: 34%. Estimated remaining time: 2 minutes, 2 seconds.
Growing trees.. Progress: 50%. Estimated remaining time: 1 minute, 32 seconds.
Growing trees.. Progress: 67%. Estimated remaining time: 1 minute, 1 seconds.
Growing trees.. Progress: 83%. Estimated remaining time: 31 seconds.
Growing trees.. Progress: 100%. Estimated remaining time: 0 seconds.
INFO  [11:10:16.672] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
Growing trees.. Progress: 17%. Estimated remaining time: 2 minutes, 32 seconds.
Growing trees.. Progress: 34%. Estimated remaining time: 2 minutes, 1 seconds.
Growing trees.. Progress: 51%. Estimated remaining time: 1 minute, 30 seconds.
Growing trees.. Progress: 68%. Estimated remaining time: 59 seconds.
Growing trees.. Progress: 84%. Estimated remaining time: 28 seconds.
INFO  [11:13:21.945] [mlr3] Finished benchmark
INFO  [11:13:21.980] [bbotk] Result of batch 71:
INFO  [11:13:21.983] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [11:13:21.983] [bbotk]           1   FALSE           0.775      1500    0.947165        0      0
INFO  [11:13:21.983] [bbotk]  runtime_learners                                uhash
INFO  [11:13:21.983] [bbotk]           942.896 88c38f9c-1466-473d-9c61-53c63a7c58ec
INFO  [11:13:21.984] [bbotk] Evaluating 1 configuration(s)
INFO  [11:13:21.993] [mlr3] Running benchmark with 5 resampling iterations
INFO  [11:13:21.999] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [11:13:24.008] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [11:13:25.812] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [11:13:27.579] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [11:13:29.441] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [11:13:31.181] [mlr3] Finished benchmark
INFO  [11:13:31.319] [bbotk] Result of batch 72:
INFO  [11:13:31.322] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [11:13:31.322] [bbotk]           0   FALSE           0.325       500   0.9520383        0      0
INFO  [11:13:31.322] [bbotk]  runtime_learners                                uhash
INFO  [11:13:31.322] [bbotk]             9.127 04013838-9a3f-40dd-b4c3-e5717c3cd9c6
INFO  [11:13:31.323] [bbotk] Evaluating 1 configuration(s)
INFO  [11:13:31.331] [mlr3] Running benchmark with 5 resampling iterations
INFO  [11:13:31.336] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [11:13:41.383] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [11:13:51.385] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [11:14:01.511] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [11:14:11.890] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [11:14:22.440] [mlr3] Finished benchmark
INFO  [11:14:22.475] [bbotk] Result of batch 73:
INFO  [11:14:22.478] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [11:14:22.478] [bbotk]        0.25    TRUE             0.1      2000   0.9618121        0      0
INFO  [11:14:22.478] [bbotk]  runtime_learners                                uhash
INFO  [11:14:22.478] [bbotk]            51.039 5dfe3fe3-cddc-4f0b-aeaa-9491445390be
INFO  [11:14:22.480] [bbotk] Evaluating 1 configuration(s)
INFO  [11:14:22.489] [mlr3] Running benchmark with 5 resampling iterations
INFO  [11:14:22.494] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [11:14:24.507] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [11:14:26.516] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [11:14:28.577] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [11:14:30.572] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [11:14:32.555] [mlr3] Finished benchmark
INFO  [11:14:32.589] [bbotk] Result of batch 74:
INFO  [11:14:32.592] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [11:14:32.592] [bbotk]           0    TRUE           0.775       500   0.9525616        0      0
INFO  [11:14:32.592] [bbotk]  runtime_learners                                uhash
INFO  [11:14:32.592] [bbotk]             9.996 e40afcd7-4d0b-45d0-a13c-2366f515b743
INFO  [11:14:32.594] [bbotk] Evaluating 1 configuration(s)
INFO  [11:14:32.602] [mlr3] Running benchmark with 5 resampling iterations
INFO  [11:14:32.608] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [11:14:39.924] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [11:14:47.319] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [11:14:54.897] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [11:15:02.497] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [11:15:09.929] [mlr3] Finished benchmark
INFO  [11:15:09.966] [bbotk] Result of batch 75:
INFO  [11:15:09.969] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [11:15:09.969] [bbotk]           0    TRUE            0.55      2000   0.9533949        0      0
INFO  [11:15:09.969] [bbotk]  runtime_learners                                uhash
INFO  [11:15:09.969] [bbotk]            37.252 faa7a39b-e341-4ca0-b8cd-d3b300097838
INFO  [11:15:09.970] [bbotk] Evaluating 1 configuration(s)
INFO  [11:15:09.980] [mlr3] Running benchmark with 5 resampling iterations
INFO  [11:15:09.986] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
INFO  [11:15:10.157] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
INFO  [11:15:10.317] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
INFO  [11:15:10.476] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
INFO  [11:15:10.625] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
INFO  [11:15:10.778] [mlr3] Finished benchmark
INFO  [11:15:10.810] [bbotk] Result of batch 76:
INFO  [11:15:10.813] [bbotk]  mtry.ratio replace sample.fraction num.trees classif.auc warnings errors
INFO  [11:15:10.813] [bbotk]        0.75   FALSE            0.55         1   0.7399259        0      0
INFO  [11:15:10.813] [bbotk]  runtime_learners                                uhash
INFO  [11:15:10.813] [bbotk]             0.737 5c78d4ac-3a3c-43b1-a93b-1d36c1794901
INFO  [11:15:10.814] [bbotk] Evaluating 1 configuration(s)
INFO  [11:15:10.822] [mlr3] Running benchmark with 5 resampling iterations
INFO  [11:15:10.827] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 1/5)
Growing trees.. Progress: 11%. Estimated remaining time: 4 minutes, 0 seconds.
Growing trees.. Progress: 23%. Estimated remaining time: 3 minutes, 28 seconds.
Growing trees.. Progress: 34%. Estimated remaining time: 2 minutes, 58 seconds.
Growing trees.. Progress: 45%. Estimated remaining time: 2 minutes, 29 seconds.
Growing trees.. Progress: 57%. Estimated remaining time: 1 minute, 58 seconds.
Growing trees.. Progress: 68%. Estimated remaining time: 1 minute, 28 seconds.
Growing trees.. Progress: 79%. Estimated remaining time: 57 seconds.
Growing trees.. Progress: 90%. Estimated remaining time: 26 seconds.
INFO  [11:19:48.126] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 2/5)
Growing trees.. Progress: 12%. Estimated remaining time: 3 minutes, 39 seconds.
Growing trees.. Progress: 25%. Estimated remaining time: 3 minutes, 8 seconds.
Growing trees.. Progress: 37%. Estimated remaining time: 2 minutes, 36 seconds.
Growing trees.. Progress: 50%. Estimated remaining time: 2 minutes, 5 seconds.
Growing trees.. Progress: 62%. Estimated remaining time: 1 minute, 35 seconds.
Growing trees.. Progress: 74%. Estimated remaining time: 1 minute, 4 seconds.
Growing trees.. Progress: 87%. Estimated remaining time: 32 seconds.
Growing trees.. Progress: 99%. Estimated remaining time: 1 seconds.
INFO  [11:24:00.428] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 3/5)
Growing trees.. Progress: 13%. Estimated remaining time: 3 minutes, 31 seconds.
Growing trees.. Progress: 26%. Estimated remaining time: 2 minutes, 57 seconds.
Growing trees.. Progress: 39%. Estimated remaining time: 2 minutes, 27 seconds.
Growing trees.. Progress: 52%. Estimated remaining time: 1 minute, 55 seconds.
Growing trees.. Progress: 65%. Estimated remaining time: 1 minute, 25 seconds.
Growing trees.. Progress: 78%. Estimated remaining time: 53 seconds.
Growing trees.. Progress: 90%. Estimated remaining time: 23 seconds.
INFO  [11:28:02.827] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 4/5)
Growing trees.. Progress: 11%. Estimated remaining time: 4 minutes, 9 seconds.
Growing trees.. Progress: 22%. Estimated remaining time: 3 minutes, 40 seconds.
Growing trees.. Progress: 33%. Estimated remaining time: 3 minutes, 8 seconds.
Growing trees.. Progress: 44%. Estimated remaining time: 2 minutes, 36 seconds.
Growing trees.. Progress: 55%. Estimated remaining time: 2 minutes, 5 seconds.
Growing trees.. Progress: 66%. Estimated remaining time: 1 minute, 33 seconds.
Growing trees.. Progress: 78%. Estimated remaining time: 1 minute, 2 seconds.
Growing trees.. Progress: 89%. Estimated remaining time: 30 seconds.
INFO  [11:32:43.651] [mlr3] Applying learner 'classif.ranger' on task 'healthcare.88' (iter 5/5)
Growing trees.. Progress: 13%. Estimated remaining time: 3 minutes, 23 seconds.
Growing trees.. Progress: 26%. Estimated remaining time: 2 minutes, 52 seconds.
Growing trees.. Progress: 40%. Estimated remaining time: 2 minutes, 22 seconds.
Growing trees.. Progress: 53%. Estimated remaining time: 1 minute, 51 seconds.
Growing trees.. Progress: 66%. Estimated remaining time: 1 minute, 20 seconds.
Growing trees.. Progress: 79%. Estimated remaining time: 48 seconds.
slurmstepd: error: *** JOB 7757570 ON cn28 CANCELLED AT 2024-02-23T11:36:16 ***
