[2021-03-16 23:52:46] Seeded: 5
[2021-03-16 23:52:46] Created experiment 0:
[2021-03-16 23:52:46]  - Model: mlp
[2021-03-16 23:52:46]  - Acquisition function: lc-beam-coreset
[2021-03-16 23:52:46] Loading blobs test set...
[2021-03-16 23:52:46] Generated 5000 blobs:
[2021-03-16 23:52:46] Class 0: 200
[2021-03-16 23:52:46] Class 1: 300
[2021-03-16 23:52:46] Class 2: 1000
[2021-03-16 23:52:46] Class 3: 100
[2021-03-16 23:52:46] Class 4: 50
[2021-03-16 23:52:46] Class 5: 200
[2021-03-16 23:52:46] Class 6: 400
[2021-03-16 23:52:46] Class 7: 1800
[2021-03-16 23:52:46] Class 8: 50
[2021-03-16 23:52:46] Class 9: 900
[2021-03-16 23:52:47] Saved figure to: ../data/blobs_data.png
[2021-03-16 23:52:47] Generated 5000 test points.
[2021-03-16 23:52:47] Saved figure to: ../data/blobs_test.png
[2021-03-16 23:52:47] Experiment repeat 1/4
[2021-03-16 23:52:47] Randomly labelled 50/5000
[2021-03-16 23:52:47] Showing labelled: True (50/5000 visible)
[2021-03-16 23:52:47] Running: experiment 0
[2021-03-16 23:52:47] Showing labelled: True (50/5000 visible)
[2021-03-16 23:52:47] mlp: initialized 1482 parameters.
[2021-03-16 23:52:47] Creating trainer with model on device: cuda
[2021-03-16 23:52:51] Training mlp across 50 data points in blobs...
[2021-03-16 23:52:53] Training accuracy: 0.8093
[2021-03-16 23:52:53] Testing on 5000 data points...
[2021-03-16 23:52:53] Test accuracy: 0.6140
[2021-03-16 23:52:53] Score for 50 labels: 0.6140
[2021-03-16 23:52:53] Showing labelled: False (4950/5000 visible)
[2021-03-16 23:52:53] Found 4950 unlabelled features.
[2021-03-16 23:52:54] Showing labelled: True (75/5000 visible)
[2021-03-16 23:52:54] Training mlp across 75 data points in blobs...
[2021-03-16 23:52:56] Training accuracy: 0.9189
[2021-03-16 23:52:56] Testing on 5000 data points...
[2021-03-16 23:52:56] Test accuracy: 0.8524
[2021-03-16 23:52:56] Score for 75 labels: 0.8524
[2021-03-16 23:52:56] Showing labelled: False (4925/5000 visible)
[2021-03-16 23:52:56] Found 4925 unlabelled features.
[2021-03-16 23:52:57] Showing labelled: True (100/5000 visible)
[2021-03-16 23:52:57] Training mlp across 100 data points in blobs...
[2021-03-16 23:53:00] Training accuracy: 0.9432
[2021-03-16 23:53:00] Testing on 5000 data points...
[2021-03-16 23:53:00] Test accuracy: 0.8972
[2021-03-16 23:53:00] Score for 100 labels: 0.8972
[2021-03-16 23:53:00] Showing labelled: False (4900/5000 visible)
[2021-03-16 23:53:00] Found 4900 unlabelled features.
[2021-03-16 23:53:00] Showing labelled: True (125/5000 visible)
[2021-03-16 23:53:00] Training mlp across 125 data points in blobs...
[2021-03-16 23:53:04] Training accuracy: 0.9584
[2021-03-16 23:53:04] Testing on 5000 data points...
[2021-03-16 23:53:04] Test accuracy: 0.8958
[2021-03-16 23:53:04] Score for 125 labels: 0.8958
[2021-03-16 23:53:04] Showing labelled: False (4875/5000 visible)
[2021-03-16 23:53:04] Found 4875 unlabelled features.
[2021-03-16 23:53:05] Showing labelled: True (150/5000 visible)
[2021-03-16 23:53:05] Training mlp across 150 data points in blobs...
[2021-03-16 23:53:09] Training accuracy: 0.9690
[2021-03-16 23:53:09] Testing on 5000 data points...
[2021-03-16 23:53:09] Test accuracy: 0.9058
[2021-03-16 23:53:09] Score for 150 labels: 0.9058
[2021-03-16 23:53:09] Showing labelled: False (4850/5000 visible)
[2021-03-16 23:53:09] Found 4850 unlabelled features.
[2021-03-16 23:53:10] Showing labelled: True (175/5000 visible)
[2021-03-16 23:53:10] Training mlp across 175 data points in blobs...
[2021-03-16 23:53:15] Training accuracy: 0.9675
[2021-03-16 23:53:15] Testing on 5000 data points...
[2021-03-16 23:53:15] Test accuracy: 0.8878
[2021-03-16 23:53:15] Score for 175 labels: 0.8878
[2021-03-16 23:53:15] Showing labelled: False (4825/5000 visible)
[2021-03-16 23:53:15] Found 4825 unlabelled features.
[2021-03-16 23:53:16] Showing labelled: True (200/5000 visible)
[2021-03-16 23:53:16] Training mlp across 200 data points in blobs...
[2021-03-16 23:53:21] Training accuracy: 0.9741
[2021-03-16 23:53:21] Testing on 5000 data points...
[2021-03-16 23:53:21] Test accuracy: 0.9000
[2021-03-16 23:53:21] Score for 200 labels: 0.9000
[2021-03-16 23:53:21] Showing labelled: False (4800/5000 visible)
[2021-03-16 23:53:21] Found 4800 unlabelled features.
[2021-03-16 23:53:22] Showing labelled: True (225/5000 visible)
[2021-03-16 23:53:22] Training mlp across 225 data points in blobs...
[2021-03-16 23:53:28] Training accuracy: 0.9671
[2021-03-16 23:53:28] Testing on 5000 data points...
[2021-03-16 23:53:28] Test accuracy: 0.9102
[2021-03-16 23:53:28] Score for 225 labels: 0.9102
[2021-03-16 23:53:28] Showing labelled: False (4775/5000 visible)
[2021-03-16 23:53:28] Found 4775 unlabelled features.
[2021-03-16 23:53:29] Showing labelled: True (250/5000 visible)
[2021-03-16 23:53:29] Training mlp across 250 data points in blobs...
[2021-03-16 23:53:36] Training accuracy: 0.9589
[2021-03-16 23:53:36] Testing on 5000 data points...
[2021-03-16 23:53:36] Test accuracy: 0.9148
[2021-03-16 23:53:36] Score for 250 labels: 0.9148
[2021-03-16 23:53:36] Showing labelled: False (4750/5000 visible)
[2021-03-16 23:53:36] Found 4750 unlabelled features.
[2021-03-16 23:53:36] Showing labelled: True (275/5000 visible)
[2021-03-16 23:53:36] Training mlp across 275 data points in blobs...
[2021-03-16 23:53:44] Training accuracy: 0.9595
[2021-03-16 23:53:44] Testing on 5000 data points...
[2021-03-16 23:53:44] Test accuracy: 0.8986
[2021-03-16 23:53:44] Score for 275 labels: 0.8986
[2021-03-16 23:53:44] Showing labelled: False (4725/5000 visible)
[2021-03-16 23:53:44] Found 4725 unlabelled features.
[2021-03-16 23:53:45] Showing labelled: True (300/5000 visible)
[2021-03-16 23:53:45] Training mlp across 300 data points in blobs...
[2021-03-16 23:53:53] Training accuracy: 0.9616
[2021-03-16 23:53:53] Testing on 5000 data points...
[2021-03-16 23:53:53] Test accuracy: 0.9032
[2021-03-16 23:53:53] Score for 300 labels: 0.9032
[2021-03-16 23:53:53] Experiment repeat 2/4
[2021-03-16 23:53:53] Randomly labelled 50/5000
[2021-03-16 23:53:53] Showing labelled: True (50/5000 visible)
[2021-03-16 23:53:53] Running: experiment 0
[2021-03-16 23:53:53] Showing labelled: True (50/5000 visible)
[2021-03-16 23:53:53] mlp: initialized 1482 parameters.
[2021-03-16 23:53:53] Creating trainer with model on device: cuda
[2021-03-16 23:53:53] Training mlp across 50 data points in blobs...
[2021-03-16 23:53:54] Training accuracy: 0.8047
[2021-03-16 23:53:54] Testing on 5000 data points...
[2021-03-16 23:53:54] Test accuracy: 0.8316
[2021-03-16 23:53:54] Score for 50 labels: 0.8316
[2021-03-16 23:53:54] Showing labelled: False (4950/5000 visible)
[2021-03-16 23:53:54] Found 4950 unlabelled features.
[2021-03-16 23:53:55] Showing labelled: True (75/5000 visible)
[2021-03-16 23:53:55] Training mlp across 75 data points in blobs...
[2021-03-16 23:53:57] Training accuracy: 0.9057
[2021-03-16 23:53:57] Testing on 5000 data points...
[2021-03-16 23:53:57] Test accuracy: 0.8862
[2021-03-16 23:53:57] Score for 75 labels: 0.8862
[2021-03-16 23:53:57] Showing labelled: False (4925/5000 visible)
[2021-03-16 23:53:57] Found 4925 unlabelled features.
[2021-03-16 23:53:58] Showing labelled: True (100/5000 visible)
[2021-03-16 23:53:58] Training mlp across 100 data points in blobs...
[2021-03-16 23:54:01] Training accuracy: 0.9406
[2021-03-16 23:54:01] Testing on 5000 data points...
[2021-03-16 23:54:01] Test accuracy: 0.9090
[2021-03-16 23:54:01] Score for 100 labels: 0.9090
[2021-03-16 23:54:01] Showing labelled: False (4900/5000 visible)
[2021-03-16 23:54:01] Found 4900 unlabelled features.
[2021-03-16 23:54:01] Showing labelled: True (125/5000 visible)
[2021-03-16 23:54:01] Training mlp across 125 data points in blobs...
[2021-03-16 23:54:05] Training accuracy: 0.9497
[2021-03-16 23:54:05] Testing on 5000 data points...
[2021-03-16 23:54:05] Test accuracy: 0.9080
[2021-03-16 23:54:05] Score for 125 labels: 0.9080
[2021-03-16 23:54:05] Showing labelled: False (4875/5000 visible)
[2021-03-16 23:54:05] Found 4875 unlabelled features.
[2021-03-16 23:54:06] Showing labelled: True (150/5000 visible)
[2021-03-16 23:54:06] Training mlp across 150 data points in blobs...
[2021-03-16 23:54:10] Training accuracy: 0.9580
[2021-03-16 23:54:10] Testing on 5000 data points...
[2021-03-16 23:54:10] Test accuracy: 0.9086
[2021-03-16 23:54:10] Score for 150 labels: 0.9086
[2021-03-16 23:54:10] Showing labelled: False (4850/5000 visible)
[2021-03-16 23:54:10] Found 4850 unlabelled features.
[2021-03-16 23:54:11] Showing labelled: True (175/5000 visible)
[2021-03-16 23:54:11] Training mlp across 175 data points in blobs...
[2021-03-16 23:54:16] Training accuracy: 0.9683
[2021-03-16 23:54:16] Testing on 5000 data points...
[2021-03-16 23:54:16] Test accuracy: 0.9088
[2021-03-16 23:54:16] Score for 175 labels: 0.9088
[2021-03-16 23:54:16] Showing labelled: False (4825/5000 visible)
[2021-03-16 23:54:16] Found 4825 unlabelled features.
[2021-03-16 23:54:17] Showing labelled: True (200/5000 visible)
[2021-03-16 23:54:17] Training mlp across 200 data points in blobs...
[2021-03-16 23:54:22] Training accuracy: 0.9594
[2021-03-16 23:54:22] Testing on 5000 data points...
[2021-03-16 23:54:22] Test accuracy: 0.9134
[2021-03-16 23:54:22] Score for 200 labels: 0.9134
[2021-03-16 23:54:22] Showing labelled: False (4800/5000 visible)
[2021-03-16 23:54:22] Found 4800 unlabelled features.
[2021-03-16 23:54:23] Showing labelled: True (225/5000 visible)
[2021-03-16 23:54:23] Training mlp across 225 data points in blobs...
[2021-03-16 23:54:30] Training accuracy: 0.9629
[2021-03-16 23:54:30] Testing on 5000 data points...
[2021-03-16 23:54:30] Test accuracy: 0.9110
[2021-03-16 23:54:30] Score for 225 labels: 0.9110
[2021-03-16 23:54:30] Showing labelled: False (4775/5000 visible)
[2021-03-16 23:54:30] Found 4775 unlabelled features.
[2021-03-16 23:54:31] Showing labelled: True (250/5000 visible)
[2021-03-16 23:54:31] Training mlp across 250 data points in blobs...
[2021-03-16 23:54:37] Training accuracy: 0.9536
[2021-03-16 23:54:37] Testing on 5000 data points...
[2021-03-16 23:54:37] Test accuracy: 0.9094
[2021-03-16 23:54:37] Score for 250 labels: 0.9094
[2021-03-16 23:54:37] Showing labelled: False (4750/5000 visible)
[2021-03-16 23:54:37] Found 4750 unlabelled features.
[2021-03-16 23:54:38] Showing labelled: True (275/5000 visible)
[2021-03-16 23:54:38] Training mlp across 275 data points in blobs...
[2021-03-16 23:54:46] Training accuracy: 0.9490
[2021-03-16 23:54:46] Testing on 5000 data points...
[2021-03-16 23:54:46] Test accuracy: 0.9074
[2021-03-16 23:54:46] Score for 275 labels: 0.9074
[2021-03-16 23:54:46] Showing labelled: False (4725/5000 visible)
[2021-03-16 23:54:46] Found 4725 unlabelled features.
[2021-03-16 23:54:47] Showing labelled: True (300/5000 visible)
[2021-03-16 23:54:47] Training mlp across 300 data points in blobs...
[2021-03-16 23:54:55] Training accuracy: 0.9475
[2021-03-16 23:54:55] Testing on 5000 data points...
[2021-03-16 23:54:55] Test accuracy: 0.9032
[2021-03-16 23:54:55] Score for 300 labels: 0.9032
[2021-03-16 23:54:55] Experiment repeat 3/4
[2021-03-16 23:54:55] Randomly labelled 50/5000
[2021-03-16 23:54:55] Showing labelled: True (50/5000 visible)
[2021-03-16 23:54:55] Running: experiment 0
[2021-03-16 23:54:55] Showing labelled: True (50/5000 visible)
[2021-03-16 23:54:55] mlp: initialized 1482 parameters.
[2021-03-16 23:54:55] Creating trainer with model on device: cuda
[2021-03-16 23:54:55] Training mlp across 50 data points in blobs...
[2021-03-16 23:54:57] Training accuracy: 0.7801
[2021-03-16 23:54:57] Testing on 5000 data points...
[2021-03-16 23:54:57] Test accuracy: 0.6388
[2021-03-16 23:54:57] Score for 50 labels: 0.6388
[2021-03-16 23:54:57] Showing labelled: False (4950/5000 visible)
[2021-03-16 23:54:57] Found 4950 unlabelled features.
[2021-03-16 23:54:57] Showing labelled: True (75/5000 visible)
[2021-03-16 23:54:57] Training mlp across 75 data points in blobs...
[2021-03-16 23:55:00] Training accuracy: 0.8687
[2021-03-16 23:55:00] Testing on 5000 data points...
[2021-03-16 23:55:00] Test accuracy: 0.8574
[2021-03-16 23:55:00] Score for 75 labels: 0.8574
[2021-03-16 23:55:00] Showing labelled: False (4925/5000 visible)
[2021-03-16 23:55:00] Found 4925 unlabelled features.
[2021-03-16 23:55:01] Showing labelled: True (100/5000 visible)
[2021-03-16 23:55:01] Training mlp across 100 data points in blobs...
[2021-03-16 23:55:04] Training accuracy: 0.8999
[2021-03-16 23:55:04] Testing on 5000 data points...
[2021-03-16 23:55:04] Test accuracy: 0.8946
[2021-03-16 23:55:04] Score for 100 labels: 0.8946
[2021-03-16 23:55:04] Showing labelled: False (4900/5000 visible)
[2021-03-16 23:55:04] Found 4900 unlabelled features.
[2021-03-16 23:55:05] Showing labelled: True (125/5000 visible)
[2021-03-16 23:55:05] Training mlp across 125 data points in blobs...
[2021-03-16 23:55:08] Training accuracy: 0.9254
[2021-03-16 23:55:08] Testing on 5000 data points...
[2021-03-16 23:55:08] Test accuracy: 0.9054
[2021-03-16 23:55:08] Score for 125 labels: 0.9054
[2021-03-16 23:55:08] Showing labelled: False (4875/5000 visible)
[2021-03-16 23:55:08] Found 4875 unlabelled features.
[2021-03-16 23:55:09] Showing labelled: True (150/5000 visible)
[2021-03-16 23:55:09] Training mlp across 150 data points in blobs...
[2021-03-16 23:55:13] Training accuracy: 0.9391
[2021-03-16 23:55:13] Testing on 5000 data points...
[2021-03-16 23:55:13] Test accuracy: 0.9076
[2021-03-16 23:55:13] Score for 150 labels: 0.9076
[2021-03-16 23:55:13] Showing labelled: False (4850/5000 visible)
[2021-03-16 23:55:13] Found 4850 unlabelled features.
[2021-03-16 23:55:14] Showing labelled: True (175/5000 visible)
[2021-03-16 23:55:14] Training mlp across 175 data points in blobs...
[2021-03-16 23:55:19] Training accuracy: 0.9317
[2021-03-16 23:55:19] Testing on 5000 data points...
[2021-03-16 23:55:19] Test accuracy: 0.8988
[2021-03-16 23:55:19] Score for 175 labels: 0.8988
[2021-03-16 23:55:19] Showing labelled: False (4825/5000 visible)
[2021-03-16 23:55:19] Found 4825 unlabelled features.
[2021-03-16 23:55:20] Showing labelled: True (200/5000 visible)
[2021-03-16 23:55:20] Training mlp across 200 data points in blobs...
[2021-03-16 23:55:25] Training accuracy: 0.9441
[2021-03-16 23:55:25] Testing on 5000 data points...
[2021-03-16 23:55:25] Test accuracy: 0.9094
[2021-03-16 23:55:25] Score for 200 labels: 0.9094
[2021-03-16 23:55:25] Showing labelled: False (4800/5000 visible)
[2021-03-16 23:55:25] Found 4800 unlabelled features.
[2021-03-16 23:55:26] Showing labelled: True (225/5000 visible)
[2021-03-16 23:55:26] Training mlp across 225 data points in blobs...
[2021-03-16 23:55:32] Training accuracy: 0.9276
[2021-03-16 23:55:32] Testing on 5000 data points...
[2021-03-16 23:55:32] Test accuracy: 0.8984
[2021-03-16 23:55:32] Score for 225 labels: 0.8984
[2021-03-16 23:55:32] Showing labelled: False (4775/5000 visible)
[2021-03-16 23:55:32] Found 4775 unlabelled features.
[2021-03-16 23:55:33] Showing labelled: True (250/5000 visible)
[2021-03-16 23:55:33] Training mlp across 250 data points in blobs...
[2021-03-16 23:55:40] Training accuracy: 0.9349
[2021-03-16 23:55:40] Testing on 5000 data points...
[2021-03-16 23:55:40] Test accuracy: 0.9044
[2021-03-16 23:55:40] Score for 250 labels: 0.9044
[2021-03-16 23:55:40] Showing labelled: False (4750/5000 visible)
[2021-03-16 23:55:40] Found 4750 unlabelled features.
[2021-03-16 23:55:40] Showing labelled: True (275/5000 visible)
[2021-03-16 23:55:40] Training mlp across 275 data points in blobs...
[2021-03-16 23:55:48] Training accuracy: 0.9391
[2021-03-16 23:55:48] Testing on 5000 data points...
[2021-03-16 23:55:48] Test accuracy: 0.9054
[2021-03-16 23:55:48] Score for 275 labels: 0.9054
[2021-03-16 23:55:48] Showing labelled: False (4725/5000 visible)
[2021-03-16 23:55:48] Found 4725 unlabelled features.
[2021-03-16 23:55:49] Showing labelled: True (300/5000 visible)
[2021-03-16 23:55:49] Training mlp across 300 data points in blobs...
[2021-03-16 23:55:57] Training accuracy: 0.9385
[2021-03-16 23:55:57] Testing on 5000 data points...
[2021-03-16 23:55:57] Test accuracy: 0.9012
[2021-03-16 23:55:57] Score for 300 labels: 0.9012
[2021-03-16 23:55:57] Experiment repeat 4/4
[2021-03-16 23:55:57] Randomly labelled 50/5000
[2021-03-16 23:55:57] Showing labelled: True (50/5000 visible)
[2021-03-16 23:55:57] Running: experiment 0
[2021-03-16 23:55:57] Showing labelled: True (50/5000 visible)
[2021-03-16 23:55:57] mlp: initialized 1482 parameters.
[2021-03-16 23:55:57] Creating trainer with model on device: cuda
[2021-03-16 23:55:57] Training mlp across 50 data points in blobs...
[2021-03-16 23:55:59] Training accuracy: 0.8151
[2021-03-16 23:55:59] Testing on 5000 data points...
[2021-03-16 23:55:59] Test accuracy: 0.5680
[2021-03-16 23:55:59] Score for 50 labels: 0.5680
[2021-03-16 23:55:59] Showing labelled: False (4950/5000 visible)
[2021-03-16 23:55:59] Found 4950 unlabelled features.
[2021-03-16 23:55:59] Showing labelled: True (75/5000 visible)
[2021-03-16 23:55:59] Training mlp across 75 data points in blobs...
[2021-03-16 23:56:02] Training accuracy: 0.9017
[2021-03-16 23:56:02] Testing on 5000 data points...
[2021-03-16 23:56:02] Test accuracy: 0.8816
[2021-03-16 23:56:02] Score for 75 labels: 0.8816
[2021-03-16 23:56:02] Showing labelled: False (4925/5000 visible)
[2021-03-16 23:56:02] Found 4925 unlabelled features.
[2021-03-16 23:56:03] Showing labelled: True (100/5000 visible)
[2021-03-16 23:56:03] Training mlp across 100 data points in blobs...
[2021-03-16 23:56:05] Training accuracy: 0.9345
[2021-03-16 23:56:05] Testing on 5000 data points...
[2021-03-16 23:56:05] Test accuracy: 0.8944
[2021-03-16 23:56:05] Score for 100 labels: 0.8944
[2021-03-16 23:56:05] Showing labelled: False (4900/5000 visible)
[2021-03-16 23:56:05] Found 4900 unlabelled features.
[2021-03-16 23:56:06] Showing labelled: True (125/5000 visible)
[2021-03-16 23:56:06] Training mlp across 125 data points in blobs...
[2021-03-16 23:56:10] Training accuracy: 0.9577
[2021-03-16 23:56:10] Testing on 5000 data points...
[2021-03-16 23:56:10] Test accuracy: 0.8808
[2021-03-16 23:56:10] Score for 125 labels: 0.8808
[2021-03-16 23:56:10] Showing labelled: False (4875/5000 visible)
[2021-03-16 23:56:10] Found 4875 unlabelled features.
[2021-03-16 23:56:11] Showing labelled: True (150/5000 visible)
[2021-03-16 23:56:11] Training mlp across 150 data points in blobs...
[2021-03-16 23:56:15] Training accuracy: 0.9715
[2021-03-16 23:56:15] Testing on 5000 data points...
[2021-03-16 23:56:15] Test accuracy: 0.8894
[2021-03-16 23:56:15] Score for 150 labels: 0.8894
[2021-03-16 23:56:15] Showing labelled: False (4850/5000 visible)
[2021-03-16 23:56:15] Found 4850 unlabelled features.
[2021-03-16 23:56:16] Showing labelled: True (175/5000 visible)
[2021-03-16 23:56:16] Training mlp across 175 data points in blobs...
[2021-03-16 23:56:21] Training accuracy: 0.9601
[2021-03-16 23:56:21] Testing on 5000 data points...
[2021-03-16 23:56:21] Test accuracy: 0.8938
[2021-03-16 23:56:21] Score for 175 labels: 0.8938
[2021-03-16 23:56:21] Showing labelled: False (4825/5000 visible)
[2021-03-16 23:56:21] Found 4825 unlabelled features.
[2021-03-16 23:56:22] Showing labelled: True (200/5000 visible)
[2021-03-16 23:56:22] Training mlp across 200 data points in blobs...
[2021-03-16 23:56:27] Training accuracy: 0.9593
[2021-03-16 23:56:27] Testing on 5000 data points...
[2021-03-16 23:56:27] Test accuracy: 0.9030
[2021-03-16 23:56:27] Score for 200 labels: 0.9030
[2021-03-16 23:56:27] Showing labelled: False (4800/5000 visible)
[2021-03-16 23:56:27] Found 4800 unlabelled features.
[2021-03-16 23:56:28] Showing labelled: True (225/5000 visible)
[2021-03-16 23:56:28] Training mlp across 225 data points in blobs...
[2021-03-16 23:56:36] Training accuracy: 0.9529
[2021-03-16 23:56:36] Testing on 5000 data points...
[2021-03-16 23:56:36] Test accuracy: 0.9012
[2021-03-16 23:56:36] Score for 225 labels: 0.9012
[2021-03-16 23:56:36] Showing labelled: False (4775/5000 visible)
[2021-03-16 23:56:36] Found 4775 unlabelled features.
[2021-03-16 23:56:37] Showing labelled: True (250/5000 visible)
[2021-03-16 23:56:37] Training mlp across 250 data points in blobs...
[2021-03-16 23:56:43] Training accuracy: 0.9519
[2021-03-16 23:56:43] Testing on 5000 data points...
[2021-03-16 23:56:43] Test accuracy: 0.8994
[2021-03-16 23:56:43] Score for 250 labels: 0.8994
[2021-03-16 23:56:43] Showing labelled: False (4750/5000 visible)
[2021-03-16 23:56:43] Found 4750 unlabelled features.
[2021-03-16 23:56:44] Showing labelled: True (275/5000 visible)
[2021-03-16 23:56:44] Training mlp across 275 data points in blobs...
[2021-03-16 23:56:52] Training accuracy: 0.9587
[2021-03-16 23:56:52] Testing on 5000 data points...
[2021-03-16 23:56:52] Test accuracy: 0.9012
[2021-03-16 23:56:52] Score for 275 labels: 0.9012
[2021-03-16 23:56:52] Showing labelled: False (4725/5000 visible)
[2021-03-16 23:56:52] Found 4725 unlabelled features.
[2021-03-16 23:56:53] Showing labelled: True (300/5000 visible)
[2021-03-16 23:56:53] Training mlp across 300 data points in blobs...
[2021-03-16 23:57:02] Training accuracy: 0.9557
[2021-03-16 23:57:02] Testing on 5000 data points...
[2021-03-16 23:57:02] Test accuracy: 0.9012
[2021-03-16 23:57:02] Score for 300 labels: 0.9012
[2021-03-16 23:57:02] Updated results: ../results/blobs/lc_beam_coreset_crossentropy_beam20/results.json
