[2021-03-16 23:39:02] Seeded: 5
[2021-03-16 23:39:02] Created experiment 0:
[2021-03-16 23:39:02]  - Model: mlp
[2021-03-16 23:39:02]  - Acquisition function: least-confidence
[2021-03-16 23:39:02] Loading blobs test set...
[2021-03-16 23:39:02] Generated 5000 blobs:
[2021-03-16 23:39:02] Class 0: 200
[2021-03-16 23:39:02] Class 1: 300
[2021-03-16 23:39:02] Class 2: 1000
[2021-03-16 23:39:02] Class 3: 100
[2021-03-16 23:39:02] Class 4: 50
[2021-03-16 23:39:02] Class 5: 200
[2021-03-16 23:39:02] Class 6: 400
[2021-03-16 23:39:02] Class 7: 1800
[2021-03-16 23:39:02] Class 8: 50
[2021-03-16 23:39:02] Class 9: 900
[2021-03-16 23:39:03] Saved figure to: ../data/blobs_data.png
[2021-03-16 23:39:03] Generated 5000 test points.
[2021-03-16 23:39:03] Saved figure to: ../data/blobs_test.png
[2021-03-16 23:39:03] Experiment repeat 1/4
[2021-03-16 23:39:03] Randomly labelled 50/5000
[2021-03-16 23:39:03] Showing labelled: True (50/5000 visible)
[2021-03-16 23:39:03] Running: experiment 0
[2021-03-16 23:39:03] Showing labelled: True (50/5000 visible)
[2021-03-16 23:39:03] mlp: initialized 1482 parameters.
[2021-03-16 23:39:03] Creating trainer with model on device: cuda
[2021-03-16 23:39:08] Training mlp across 50 data points in blobs...
[2021-03-16 23:39:09] Training accuracy: 0.2735
[2021-03-16 23:39:09] Testing on 5000 data points...
[2021-03-16 23:39:09] Test accuracy: 0.2988
[2021-03-16 23:39:09] Score for 50 labels: 0.2988
[2021-03-16 23:39:09] Showing labelled: False (4950/5000 visible)
[2021-03-16 23:39:09] Found 4950 unlabelled features.
[2021-03-16 23:39:10] Showing labelled: True (75/5000 visible)
[2021-03-16 23:39:10] Training mlp across 75 data points in blobs...
[2021-03-16 23:39:13] Training accuracy: 0.7668
[2021-03-16 23:39:13] Testing on 5000 data points...
[2021-03-16 23:39:13] Test accuracy: 0.3960
[2021-03-16 23:39:13] Score for 75 labels: 0.3960
[2021-03-16 23:39:13] Showing labelled: False (4925/5000 visible)
[2021-03-16 23:39:13] Found 4925 unlabelled features.
[2021-03-16 23:39:13] Showing labelled: True (100/5000 visible)
[2021-03-16 23:39:13] Training mlp across 100 data points in blobs...
[2021-03-16 23:39:16] Training accuracy: 0.8819
[2021-03-16 23:39:16] Testing on 5000 data points...
[2021-03-16 23:39:16] Test accuracy: 0.4908
[2021-03-16 23:39:16] Score for 100 labels: 0.4908
[2021-03-16 23:39:16] Showing labelled: False (4900/5000 visible)
[2021-03-16 23:39:16] Found 4900 unlabelled features.
[2021-03-16 23:39:16] Showing labelled: True (125/5000 visible)
[2021-03-16 23:39:16] Training mlp across 125 data points in blobs...
[2021-03-16 23:39:21] Training accuracy: 0.8381
[2021-03-16 23:39:21] Testing on 5000 data points...
[2021-03-16 23:39:21] Test accuracy: 0.4918
[2021-03-16 23:39:21] Score for 125 labels: 0.4918
[2021-03-16 23:39:21] Showing labelled: False (4875/5000 visible)
[2021-03-16 23:39:21] Found 4875 unlabelled features.
[2021-03-16 23:39:21] Showing labelled: True (150/5000 visible)
[2021-03-16 23:39:21] Training mlp across 150 data points in blobs...
[2021-03-16 23:39:25] Training accuracy: 0.8027
[2021-03-16 23:39:25] Testing on 5000 data points...
[2021-03-16 23:39:25] Test accuracy: 0.4910
[2021-03-16 23:39:25] Score for 150 labels: 0.4910
[2021-03-16 23:39:25] Showing labelled: False (4850/5000 visible)
[2021-03-16 23:39:25] Found 4850 unlabelled features.
[2021-03-16 23:39:25] Showing labelled: True (175/5000 visible)
[2021-03-16 23:39:25] Training mlp across 175 data points in blobs...
[2021-03-16 23:39:31] Training accuracy: 0.7997
[2021-03-16 23:39:31] Testing on 5000 data points...
[2021-03-16 23:39:31] Test accuracy: 0.6054
[2021-03-16 23:39:31] Score for 175 labels: 0.6054
[2021-03-16 23:39:31] Showing labelled: False (4825/5000 visible)
[2021-03-16 23:39:31] Found 4825 unlabelled features.
[2021-03-16 23:39:31] Showing labelled: True (200/5000 visible)
[2021-03-16 23:39:31] Training mlp across 200 data points in blobs...
[2021-03-16 23:39:37] Training accuracy: 0.8365
[2021-03-16 23:39:37] Testing on 5000 data points...
[2021-03-16 23:39:37] Test accuracy: 0.6460
[2021-03-16 23:39:37] Score for 200 labels: 0.6460
[2021-03-16 23:39:37] Showing labelled: False (4800/5000 visible)
[2021-03-16 23:39:37] Found 4800 unlabelled features.
[2021-03-16 23:39:38] Showing labelled: True (225/5000 visible)
[2021-03-16 23:39:38] Training mlp across 225 data points in blobs...
[2021-03-16 23:39:44] Training accuracy: 0.8126
[2021-03-16 23:39:44] Testing on 5000 data points...
[2021-03-16 23:39:45] Test accuracy: 0.7006
[2021-03-16 23:39:45] Score for 225 labels: 0.7006
[2021-03-16 23:39:45] Showing labelled: False (4775/5000 visible)
[2021-03-16 23:39:45] Found 4775 unlabelled features.
[2021-03-16 23:39:45] Showing labelled: True (250/5000 visible)
[2021-03-16 23:39:45] Training mlp across 250 data points in blobs...
[2021-03-16 23:39:52] Training accuracy: 0.7935
[2021-03-16 23:39:52] Testing on 5000 data points...
[2021-03-16 23:39:53] Test accuracy: 0.7328
[2021-03-16 23:39:53] Score for 250 labels: 0.7328
[2021-03-16 23:39:53] Showing labelled: False (4750/5000 visible)
[2021-03-16 23:39:53] Found 4750 unlabelled features.
[2021-03-16 23:39:53] Showing labelled: True (275/5000 visible)
[2021-03-16 23:39:53] Training mlp across 275 data points in blobs...
[2021-03-16 23:40:02] Training accuracy: 0.7954
[2021-03-16 23:40:02] Testing on 5000 data points...
[2021-03-16 23:40:02] Test accuracy: 0.7412
[2021-03-16 23:40:02] Score for 275 labels: 0.7412
[2021-03-16 23:40:02] Showing labelled: False (4725/5000 visible)
[2021-03-16 23:40:02] Found 4725 unlabelled features.
[2021-03-16 23:40:02] Showing labelled: True (300/5000 visible)
[2021-03-16 23:40:02] Training mlp across 300 data points in blobs...
[2021-03-16 23:40:13] Training accuracy: 0.7876
[2021-03-16 23:40:13] Testing on 5000 data points...
[2021-03-16 23:40:13] Test accuracy: 0.7870
[2021-03-16 23:40:13] Score for 300 labels: 0.7870
[2021-03-16 23:40:13] Experiment repeat 2/4
[2021-03-16 23:40:13] Randomly labelled 50/5000
[2021-03-16 23:40:13] Showing labelled: True (50/5000 visible)
[2021-03-16 23:40:13] Running: experiment 0
[2021-03-16 23:40:13] Showing labelled: True (50/5000 visible)
[2021-03-16 23:40:13] mlp: initialized 1482 parameters.
[2021-03-16 23:40:13] Creating trainer with model on device: cuda
[2021-03-16 23:40:13] Training mlp across 50 data points in blobs...
[2021-03-16 23:40:15] Training accuracy: 0.5148
[2021-03-16 23:40:15] Testing on 5000 data points...
[2021-03-16 23:40:15] Test accuracy: 0.4772
[2021-03-16 23:40:15] Score for 50 labels: 0.4772
[2021-03-16 23:40:15] Showing labelled: False (4950/5000 visible)
[2021-03-16 23:40:15] Found 4950 unlabelled features.
[2021-03-16 23:40:15] Showing labelled: True (75/5000 visible)
[2021-03-16 23:40:15] Training mlp across 75 data points in blobs...
[2021-03-16 23:40:18] Training accuracy: 0.7732
[2021-03-16 23:40:18] Testing on 5000 data points...
[2021-03-16 23:40:18] Test accuracy: 0.5008
[2021-03-16 23:40:18] Score for 75 labels: 0.5008
[2021-03-16 23:40:18] Showing labelled: False (4925/5000 visible)
[2021-03-16 23:40:18] Found 4925 unlabelled features.
[2021-03-16 23:40:18] Showing labelled: True (100/5000 visible)
[2021-03-16 23:40:18] Training mlp across 100 data points in blobs...
[2021-03-16 23:40:21] Training accuracy: 0.8321
[2021-03-16 23:40:21] Testing on 5000 data points...
[2021-03-16 23:40:21] Test accuracy: 0.5136
[2021-03-16 23:40:21] Score for 100 labels: 0.5136
[2021-03-16 23:40:21] Showing labelled: False (4900/5000 visible)
[2021-03-16 23:40:21] Found 4900 unlabelled features.
[2021-03-16 23:40:21] Showing labelled: True (125/5000 visible)
[2021-03-16 23:40:21] Training mlp across 125 data points in blobs...
[2021-03-16 23:40:25] Training accuracy: 0.8341
[2021-03-16 23:40:25] Testing on 5000 data points...
[2021-03-16 23:40:25] Test accuracy: 0.6208
[2021-03-16 23:40:25] Score for 125 labels: 0.6208
[2021-03-16 23:40:25] Showing labelled: False (4875/5000 visible)
[2021-03-16 23:40:25] Found 4875 unlabelled features.
[2021-03-16 23:40:25] Showing labelled: True (150/5000 visible)
[2021-03-16 23:40:25] Training mlp across 150 data points in blobs...
[2021-03-16 23:40:29] Training accuracy: 0.8925
[2021-03-16 23:40:29] Testing on 5000 data points...
[2021-03-16 23:40:29] Test accuracy: 0.6746
[2021-03-16 23:40:29] Score for 150 labels: 0.6746
[2021-03-16 23:40:29] Showing labelled: False (4850/5000 visible)
[2021-03-16 23:40:29] Found 4850 unlabelled features.
[2021-03-16 23:40:29] Showing labelled: True (175/5000 visible)
[2021-03-16 23:40:29] Training mlp across 175 data points in blobs...
[2021-03-16 23:40:35] Training accuracy: 0.8462
[2021-03-16 23:40:35] Testing on 5000 data points...
[2021-03-16 23:40:35] Test accuracy: 0.7052
[2021-03-16 23:40:35] Score for 175 labels: 0.7052
[2021-03-16 23:40:35] Showing labelled: False (4825/5000 visible)
[2021-03-16 23:40:35] Found 4825 unlabelled features.
[2021-03-16 23:40:35] Showing labelled: True (200/5000 visible)
[2021-03-16 23:40:35] Training mlp across 200 data points in blobs...
[2021-03-16 23:40:40] Training accuracy: 0.8470
[2021-03-16 23:40:40] Testing on 5000 data points...
[2021-03-16 23:40:40] Test accuracy: 0.7424
[2021-03-16 23:40:40] Score for 200 labels: 0.7424
[2021-03-16 23:40:40] Showing labelled: False (4800/5000 visible)
[2021-03-16 23:40:40] Found 4800 unlabelled features.
[2021-03-16 23:40:40] Showing labelled: True (225/5000 visible)
[2021-03-16 23:40:40] Training mlp across 225 data points in blobs...
[2021-03-16 23:40:48] Training accuracy: 0.8333
[2021-03-16 23:40:48] Testing on 5000 data points...
[2021-03-16 23:40:48] Test accuracy: 0.7398
[2021-03-16 23:40:48] Score for 225 labels: 0.7398
[2021-03-16 23:40:48] Showing labelled: False (4775/5000 visible)
[2021-03-16 23:40:48] Found 4775 unlabelled features.
[2021-03-16 23:40:48] Showing labelled: True (250/5000 visible)
[2021-03-16 23:40:48] Training mlp across 250 data points in blobs...
[2021-03-16 23:40:55] Training accuracy: 0.8271
[2021-03-16 23:40:55] Testing on 5000 data points...
[2021-03-16 23:40:55] Test accuracy: 0.8130
[2021-03-16 23:40:55] Score for 250 labels: 0.8130
[2021-03-16 23:40:55] Showing labelled: False (4750/5000 visible)
[2021-03-16 23:40:55] Found 4750 unlabelled features.
[2021-03-16 23:40:55] Showing labelled: True (275/5000 visible)
[2021-03-16 23:40:55] Training mlp across 275 data points in blobs...
[2021-03-16 23:41:04] Training accuracy: 0.7957
[2021-03-16 23:41:04] Testing on 5000 data points...
[2021-03-16 23:41:05] Test accuracy: 0.8344
[2021-03-16 23:41:05] Score for 275 labels: 0.8344
[2021-03-16 23:41:05] Showing labelled: False (4725/5000 visible)
[2021-03-16 23:41:05] Found 4725 unlabelled features.
[2021-03-16 23:41:05] Showing labelled: True (300/5000 visible)
[2021-03-16 23:41:05] Training mlp across 300 data points in blobs...
[2021-03-16 23:41:13] Training accuracy: 0.7955
[2021-03-16 23:41:13] Testing on 5000 data points...
[2021-03-16 23:41:13] Test accuracy: 0.8416
[2021-03-16 23:41:13] Score for 300 labels: 0.8416
[2021-03-16 23:41:13] Experiment repeat 3/4
[2021-03-16 23:41:13] Randomly labelled 50/5000
[2021-03-16 23:41:13] Showing labelled: True (50/5000 visible)
[2021-03-16 23:41:13] Running: experiment 0
[2021-03-16 23:41:13] Showing labelled: True (50/5000 visible)
[2021-03-16 23:41:13] mlp: initialized 1482 parameters.
[2021-03-16 23:41:13] Creating trainer with model on device: cuda
[2021-03-16 23:41:13] Training mlp across 50 data points in blobs...
[2021-03-16 23:41:15] Training accuracy: 0.4598
[2021-03-16 23:41:15] Testing on 5000 data points...
[2021-03-16 23:41:15] Test accuracy: 0.2984
[2021-03-16 23:41:15] Score for 50 labels: 0.2984
[2021-03-16 23:41:15] Showing labelled: False (4950/5000 visible)
[2021-03-16 23:41:15] Found 4950 unlabelled features.
[2021-03-16 23:41:15] Showing labelled: True (75/5000 visible)
[2021-03-16 23:41:15] Training mlp across 75 data points in blobs...
[2021-03-16 23:41:18] Training accuracy: 0.7462
[2021-03-16 23:41:18] Testing on 5000 data points...
[2021-03-16 23:41:18] Test accuracy: 0.5714
[2021-03-16 23:41:18] Score for 75 labels: 0.5714
[2021-03-16 23:41:18] Showing labelled: False (4925/5000 visible)
[2021-03-16 23:41:18] Found 4925 unlabelled features.
[2021-03-16 23:41:18] Showing labelled: True (100/5000 visible)
[2021-03-16 23:41:18] Training mlp across 100 data points in blobs...
[2021-03-16 23:41:20] Training accuracy: 0.8520
[2021-03-16 23:41:20] Testing on 5000 data points...
[2021-03-16 23:41:20] Test accuracy: 0.5728
[2021-03-16 23:41:20] Score for 100 labels: 0.5728
[2021-03-16 23:41:20] Showing labelled: False (4900/5000 visible)
[2021-03-16 23:41:20] Found 4900 unlabelled features.
[2021-03-16 23:41:21] Showing labelled: True (125/5000 visible)
[2021-03-16 23:41:21] Training mlp across 125 data points in blobs...
[2021-03-16 23:41:25] Training accuracy: 0.8888
[2021-03-16 23:41:25] Testing on 5000 data points...
[2021-03-16 23:41:25] Test accuracy: 0.6896
[2021-03-16 23:41:25] Score for 125 labels: 0.6896
[2021-03-16 23:41:25] Showing labelled: False (4875/5000 visible)
[2021-03-16 23:41:25] Found 4875 unlabelled features.
[2021-03-16 23:41:25] Showing labelled: True (150/5000 visible)
[2021-03-16 23:41:25] Training mlp across 150 data points in blobs...
[2021-03-16 23:41:29] Training accuracy: 0.8915
[2021-03-16 23:41:29] Testing on 5000 data points...
[2021-03-16 23:41:29] Test accuracy: 0.6726
[2021-03-16 23:41:29] Score for 150 labels: 0.6726
[2021-03-16 23:41:29] Showing labelled: False (4850/5000 visible)
[2021-03-16 23:41:29] Found 4850 unlabelled features.
[2021-03-16 23:41:29] Showing labelled: True (175/5000 visible)
[2021-03-16 23:41:29] Training mlp across 175 data points in blobs...
[2021-03-16 23:41:35] Training accuracy: 0.8486
[2021-03-16 23:41:35] Testing on 5000 data points...
[2021-03-16 23:41:35] Test accuracy: 0.6882
[2021-03-16 23:41:35] Score for 175 labels: 0.6882
[2021-03-16 23:41:35] Showing labelled: False (4825/5000 visible)
[2021-03-16 23:41:35] Found 4825 unlabelled features.
[2021-03-16 23:41:35] Showing labelled: True (200/5000 visible)
[2021-03-16 23:41:35] Training mlp across 200 data points in blobs...
[2021-03-16 23:41:40] Training accuracy: 0.8504
[2021-03-16 23:41:40] Testing on 5000 data points...
[2021-03-16 23:41:40] Test accuracy: 0.7070
[2021-03-16 23:41:40] Score for 200 labels: 0.7070
[2021-03-16 23:41:40] Showing labelled: False (4800/5000 visible)
[2021-03-16 23:41:40] Found 4800 unlabelled features.
[2021-03-16 23:41:40] Showing labelled: True (225/5000 visible)
[2021-03-16 23:41:40] Training mlp across 225 data points in blobs...
[2021-03-16 23:41:48] Training accuracy: 0.8699
[2021-03-16 23:41:48] Testing on 5000 data points...
[2021-03-16 23:41:48] Test accuracy: 0.7526
[2021-03-16 23:41:48] Score for 225 labels: 0.7526
[2021-03-16 23:41:48] Showing labelled: False (4775/5000 visible)
[2021-03-16 23:41:48] Found 4775 unlabelled features.
[2021-03-16 23:41:48] Showing labelled: True (250/5000 visible)
[2021-03-16 23:41:48] Training mlp across 250 data points in blobs...
[2021-03-16 23:41:56] Training accuracy: 0.8479
[2021-03-16 23:41:56] Testing on 5000 data points...
[2021-03-16 23:41:56] Test accuracy: 0.7642
[2021-03-16 23:41:56] Score for 250 labels: 0.7642
[2021-03-16 23:41:56] Showing labelled: False (4750/5000 visible)
[2021-03-16 23:41:56] Found 4750 unlabelled features.
[2021-03-16 23:41:56] Showing labelled: True (275/5000 visible)
[2021-03-16 23:41:56] Training mlp across 275 data points in blobs...
[2021-03-16 23:42:04] Training accuracy: 0.8176
[2021-03-16 23:42:04] Testing on 5000 data points...
[2021-03-16 23:42:04] Test accuracy: 0.7668
[2021-03-16 23:42:04] Score for 275 labels: 0.7668
[2021-03-16 23:42:04] Showing labelled: False (4725/5000 visible)
[2021-03-16 23:42:04] Found 4725 unlabelled features.
[2021-03-16 23:42:04] Showing labelled: True (300/5000 visible)
[2021-03-16 23:42:04] Training mlp across 300 data points in blobs...
[2021-03-16 23:42:13] Training accuracy: 0.8096
[2021-03-16 23:42:13] Testing on 5000 data points...
[2021-03-16 23:42:13] Test accuracy: 0.8246
[2021-03-16 23:42:13] Score for 300 labels: 0.8246
[2021-03-16 23:42:13] Experiment repeat 4/4
[2021-03-16 23:42:13] Randomly labelled 50/5000
[2021-03-16 23:42:13] Showing labelled: True (50/5000 visible)
[2021-03-16 23:42:13] Running: experiment 0
[2021-03-16 23:42:13] Showing labelled: True (50/5000 visible)
[2021-03-16 23:42:13] mlp: initialized 1482 parameters.
[2021-03-16 23:42:13] Creating trainer with model on device: cuda
[2021-03-16 23:42:13] Training mlp across 50 data points in blobs...
[2021-03-16 23:42:14] Training accuracy: 0.5829
[2021-03-16 23:42:14] Testing on 5000 data points...
[2021-03-16 23:42:14] Test accuracy: 0.2928
[2021-03-16 23:42:14] Score for 50 labels: 0.2928
[2021-03-16 23:42:14] Showing labelled: False (4950/5000 visible)
[2021-03-16 23:42:14] Found 4950 unlabelled features.
[2021-03-16 23:42:14] Showing labelled: True (75/5000 visible)
[2021-03-16 23:42:14] Training mlp across 75 data points in blobs...
[2021-03-16 23:42:17] Training accuracy: 0.8064
[2021-03-16 23:42:17] Testing on 5000 data points...
[2021-03-16 23:42:17] Test accuracy: 0.4324
[2021-03-16 23:42:17] Score for 75 labels: 0.4324
[2021-03-16 23:42:17] Showing labelled: False (4925/5000 visible)
[2021-03-16 23:42:17] Found 4925 unlabelled features.
[2021-03-16 23:42:17] Showing labelled: True (100/5000 visible)
[2021-03-16 23:42:17] Training mlp across 100 data points in blobs...
[2021-03-16 23:42:20] Training accuracy: 0.8902
[2021-03-16 23:42:20] Testing on 5000 data points...
[2021-03-16 23:42:20] Test accuracy: 0.5890
[2021-03-16 23:42:20] Score for 100 labels: 0.5890
[2021-03-16 23:42:20] Showing labelled: False (4900/5000 visible)
[2021-03-16 23:42:20] Found 4900 unlabelled features.
[2021-03-16 23:42:20] Showing labelled: True (125/5000 visible)
[2021-03-16 23:42:20] Training mlp across 125 data points in blobs...
[2021-03-16 23:42:24] Training accuracy: 0.9065
[2021-03-16 23:42:24] Testing on 5000 data points...
[2021-03-16 23:42:24] Test accuracy: 0.5916
[2021-03-16 23:42:24] Score for 125 labels: 0.5916
[2021-03-16 23:42:24] Showing labelled: False (4875/5000 visible)
[2021-03-16 23:42:24] Found 4875 unlabelled features.
[2021-03-16 23:42:24] Showing labelled: True (150/5000 visible)
[2021-03-16 23:42:24] Training mlp across 150 data points in blobs...
[2021-03-16 23:42:29] Training accuracy: 0.8999
[2021-03-16 23:42:29] Testing on 5000 data points...
[2021-03-16 23:42:29] Test accuracy: 0.6378
[2021-03-16 23:42:29] Score for 150 labels: 0.6378
[2021-03-16 23:42:29] Showing labelled: False (4850/5000 visible)
[2021-03-16 23:42:29] Found 4850 unlabelled features.
[2021-03-16 23:42:29] Showing labelled: True (175/5000 visible)
[2021-03-16 23:42:29] Training mlp across 175 data points in blobs...
[2021-03-16 23:42:34] Training accuracy: 0.8787
[2021-03-16 23:42:34] Testing on 5000 data points...
[2021-03-16 23:42:34] Test accuracy: 0.6456
[2021-03-16 23:42:34] Score for 175 labels: 0.6456
[2021-03-16 23:42:34] Showing labelled: False (4825/5000 visible)
[2021-03-16 23:42:34] Found 4825 unlabelled features.
[2021-03-16 23:42:34] Showing labelled: True (200/5000 visible)
[2021-03-16 23:42:34] Training mlp across 200 data points in blobs...
[2021-03-16 23:42:40] Training accuracy: 0.8310
[2021-03-16 23:42:40] Testing on 5000 data points...
[2021-03-16 23:42:40] Test accuracy: 0.6546
[2021-03-16 23:42:40] Score for 200 labels: 0.6546
[2021-03-16 23:42:40] Showing labelled: False (4800/5000 visible)
[2021-03-16 23:42:40] Found 4800 unlabelled features.
[2021-03-16 23:42:40] Showing labelled: True (225/5000 visible)
[2021-03-16 23:42:40] Training mlp across 225 data points in blobs...
[2021-03-16 23:42:47] Training accuracy: 0.8265
[2021-03-16 23:42:47] Testing on 5000 data points...
[2021-03-16 23:42:47] Test accuracy: 0.6852
[2021-03-16 23:42:47] Score for 225 labels: 0.6852
[2021-03-16 23:42:47] Showing labelled: False (4775/5000 visible)
[2021-03-16 23:42:47] Found 4775 unlabelled features.
[2021-03-16 23:42:47] Showing labelled: True (250/5000 visible)
[2021-03-16 23:42:47] Training mlp across 250 data points in blobs...
[2021-03-16 23:42:54] Training accuracy: 0.8158
[2021-03-16 23:42:54] Testing on 5000 data points...
[2021-03-16 23:42:54] Test accuracy: 0.7074
[2021-03-16 23:42:54] Score for 250 labels: 0.7074
[2021-03-16 23:42:54] Showing labelled: False (4750/5000 visible)
[2021-03-16 23:42:54] Found 4750 unlabelled features.
[2021-03-16 23:42:54] Showing labelled: True (275/5000 visible)
[2021-03-16 23:42:54] Training mlp across 275 data points in blobs...
[2021-03-16 23:43:02] Training accuracy: 0.8186
[2021-03-16 23:43:02] Testing on 5000 data points...
[2021-03-16 23:43:02] Test accuracy: 0.7176
[2021-03-16 23:43:02] Score for 275 labels: 0.7176
[2021-03-16 23:43:02] Showing labelled: False (4725/5000 visible)
[2021-03-16 23:43:02] Found 4725 unlabelled features.
[2021-03-16 23:43:02] Showing labelled: True (300/5000 visible)
[2021-03-16 23:43:02] Training mlp across 300 data points in blobs...
[2021-03-16 23:43:11] Training accuracy: 0.8147
[2021-03-16 23:43:11] Testing on 5000 data points...
[2021-03-16 23:43:11] Test accuracy: 0.7328
[2021-03-16 23:43:11] Score for 300 labels: 0.7328
[2021-03-16 23:43:11] Updated results: ../results/blobs/leastcertainty_labelsmooth/results.json
