[2021-03-16 23:25:36] Seeded: 5
[2021-03-16 23:25:36] Created experiment 0:
[2021-03-16 23:25:36]  - Model: mlp
[2021-03-16 23:25:36]  - Acquisition function: lc-beam-coreset
[2021-03-16 23:25:36] Created experiment 1:
[2021-03-16 23:25:36]  - Model: mlp
[2021-03-16 23:25:36]  - Acquisition function: greedy-coreset
[2021-03-16 23:25:36] Created experiment 2:
[2021-03-16 23:25:36]  - Model: mlp
[2021-03-16 23:25:36]  - Acquisition function: random
[2021-03-16 23:25:36] Loading blobs test set...
[2021-03-16 23:25:36] Generated 5000 blobs:
[2021-03-16 23:25:36] Class 0: 200
[2021-03-16 23:25:36] Class 1: 300
[2021-03-16 23:25:36] Class 2: 1000
[2021-03-16 23:25:36] Class 3: 100
[2021-03-16 23:25:36] Class 4: 50
[2021-03-16 23:25:36] Class 5: 200
[2021-03-16 23:25:36] Class 6: 400
[2021-03-16 23:25:36] Class 7: 1800
[2021-03-16 23:25:36] Class 8: 50
[2021-03-16 23:25:36] Class 9: 900
[2021-03-16 23:25:36] Saved figure to: ../data/blobs_data.png
[2021-03-16 23:25:36] Generated 5000 test points.
[2021-03-16 23:25:37] Saved figure to: ../data/blobs_test.png
[2021-03-16 23:25:37] Experiment repeat 1/4
[2021-03-16 23:25:37] Randomly labelled 50/5000
[2021-03-16 23:25:37] Showing labelled: True (50/5000 visible)
[2021-03-16 23:25:37] Running: experiment 0
[2021-03-16 23:25:37] Showing labelled: True (50/5000 visible)
[2021-03-16 23:25:37] mlp: initialized 1482 parameters.
[2021-03-16 23:25:37] Creating trainer with model on device: cuda
[2021-03-16 23:25:41] Training mlp across 50 data points in blobs...
[2021-03-16 23:25:43] Training accuracy: 0.8093
[2021-03-16 23:25:43] Testing on 5000 data points...
[2021-03-16 23:25:43] Test accuracy: 0.6140
[2021-03-16 23:25:43] Score for 50 labels: 0.6140
[2021-03-16 23:25:43] Showing labelled: False (4950/5000 visible)
[2021-03-16 23:25:43] Found 4950 unlabelled features.
[2021-03-16 23:25:43] Showing labelled: True (75/5000 visible)
[2021-03-16 23:25:43] Training mlp across 75 data points in blobs...
[2021-03-16 23:25:46] Training accuracy: 0.9323
[2021-03-16 23:25:46] Testing on 5000 data points...
[2021-03-16 23:25:46] Test accuracy: 0.8694
[2021-03-16 23:25:46] Score for 75 labels: 0.8694
[2021-03-16 23:25:46] Showing labelled: False (4925/5000 visible)
[2021-03-16 23:25:46] Found 4925 unlabelled features.
[2021-03-16 23:25:46] Showing labelled: True (100/5000 visible)
[2021-03-16 23:25:46] Training mlp across 100 data points in blobs...
[2021-03-16 23:25:49] Training accuracy: 0.9525
[2021-03-16 23:25:49] Testing on 5000 data points...
[2021-03-16 23:25:49] Test accuracy: 0.8850
[2021-03-16 23:25:49] Score for 100 labels: 0.8850
[2021-03-16 23:25:49] Showing labelled: False (4900/5000 visible)
[2021-03-16 23:25:49] Found 4900 unlabelled features.
[2021-03-16 23:25:49] Showing labelled: True (125/5000 visible)
[2021-03-16 23:25:49] Training mlp across 125 data points in blobs...
[2021-03-16 23:25:53] Training accuracy: 0.9649
[2021-03-16 23:25:53] Testing on 5000 data points...
[2021-03-16 23:25:53] Test accuracy: 0.8878
[2021-03-16 23:25:53] Score for 125 labels: 0.8878
[2021-03-16 23:25:53] Showing labelled: False (4875/5000 visible)
[2021-03-16 23:25:53] Found 4875 unlabelled features.
[2021-03-16 23:25:54] Showing labelled: True (150/5000 visible)
[2021-03-16 23:25:54] Training mlp across 150 data points in blobs...
[2021-03-16 23:25:58] Training accuracy: 0.9604
[2021-03-16 23:25:58] Testing on 5000 data points...
[2021-03-16 23:25:58] Test accuracy: 0.8982
[2021-03-16 23:25:58] Score for 150 labels: 0.8982
[2021-03-16 23:25:58] Showing labelled: False (4850/5000 visible)
[2021-03-16 23:25:58] Found 4850 unlabelled features.
[2021-03-16 23:25:58] Showing labelled: True (175/5000 visible)
[2021-03-16 23:25:58] Training mlp across 175 data points in blobs...
[2021-03-16 23:26:03] Training accuracy: 0.9580
[2021-03-16 23:26:03] Testing on 5000 data points...
[2021-03-16 23:26:03] Test accuracy: 0.9026
[2021-03-16 23:26:03] Score for 175 labels: 0.9026
[2021-03-16 23:26:03] Showing labelled: False (4825/5000 visible)
[2021-03-16 23:26:03] Found 4825 unlabelled features.
[2021-03-16 23:26:04] Showing labelled: True (200/5000 visible)
[2021-03-16 23:26:04] Training mlp across 200 data points in blobs...
[2021-03-16 23:26:09] Training accuracy: 0.9541
[2021-03-16 23:26:09] Testing on 5000 data points...
[2021-03-16 23:26:09] Test accuracy: 0.9004
[2021-03-16 23:26:09] Score for 200 labels: 0.9004
[2021-03-16 23:26:09] Showing labelled: False (4800/5000 visible)
[2021-03-16 23:26:09] Found 4800 unlabelled features.
[2021-03-16 23:26:10] Showing labelled: True (225/5000 visible)
[2021-03-16 23:26:10] Training mlp across 225 data points in blobs...
[2021-03-16 23:26:17] Training accuracy: 0.9607
[2021-03-16 23:26:17] Testing on 5000 data points...
[2021-03-16 23:26:17] Test accuracy: 0.8920
[2021-03-16 23:26:17] Score for 225 labels: 0.8920
[2021-03-16 23:26:17] Showing labelled: False (4775/5000 visible)
[2021-03-16 23:26:17] Found 4775 unlabelled features.
[2021-03-16 23:26:17] Showing labelled: True (250/5000 visible)
[2021-03-16 23:26:17] Training mlp across 250 data points in blobs...
[2021-03-16 23:26:24] Training accuracy: 0.9600
[2021-03-16 23:26:24] Testing on 5000 data points...
[2021-03-16 23:26:24] Test accuracy: 0.9004
[2021-03-16 23:26:24] Score for 250 labels: 0.9004
[2021-03-16 23:26:24] Showing labelled: False (4750/5000 visible)
[2021-03-16 23:26:24] Found 4750 unlabelled features.
[2021-03-16 23:26:25] Showing labelled: True (275/5000 visible)
[2021-03-16 23:26:25] Training mlp across 275 data points in blobs...
[2021-03-16 23:26:35] Training accuracy: 0.9532
[2021-03-16 23:26:35] Testing on 5000 data points...
[2021-03-16 23:26:35] Test accuracy: 0.9030
[2021-03-16 23:26:35] Score for 275 labels: 0.9030
[2021-03-16 23:26:35] Showing labelled: False (4725/5000 visible)
[2021-03-16 23:26:35] Found 4725 unlabelled features.
[2021-03-16 23:26:35] Showing labelled: True (300/5000 visible)
[2021-03-16 23:26:35] Training mlp across 300 data points in blobs...
[2021-03-16 23:26:43] Training accuracy: 0.9549
[2021-03-16 23:26:43] Testing on 5000 data points...
[2021-03-16 23:26:43] Test accuracy: 0.9022
[2021-03-16 23:26:43] Score for 300 labels: 0.9022
[2021-03-16 23:26:43] Running: experiment 1
[2021-03-16 23:26:43] Showing labelled: True (50/5000 visible)
[2021-03-16 23:26:43] mlp: initialized 1482 parameters.
[2021-03-16 23:26:43] Creating trainer with model on device: cuda
[2021-03-16 23:26:43] Training mlp across 50 data points in blobs...
[2021-03-16 23:26:44] Training accuracy: 0.8420
[2021-03-16 23:26:44] Testing on 5000 data points...
[2021-03-16 23:26:44] Test accuracy: 0.6134
[2021-03-16 23:26:44] Score for 50 labels: 0.6134
[2021-03-16 23:26:44] Showing labelled: False (4950/5000 visible)
[2021-03-16 23:26:44] Found 4950 unlabelled features.
[2021-03-16 23:26:45] Showing labelled: True (75/5000 visible)
[2021-03-16 23:26:45] Training mlp across 75 data points in blobs...
[2021-03-16 23:26:47] Training accuracy: 0.9213
[2021-03-16 23:26:47] Testing on 5000 data points...
[2021-03-16 23:26:47] Test accuracy: 0.8620
[2021-03-16 23:26:47] Score for 75 labels: 0.8620
[2021-03-16 23:26:47] Showing labelled: False (4925/5000 visible)
[2021-03-16 23:26:47] Found 4925 unlabelled features.
[2021-03-16 23:26:47] Showing labelled: True (100/5000 visible)
[2021-03-16 23:26:47] Training mlp across 100 data points in blobs...
[2021-03-16 23:26:50] Training accuracy: 0.9536
[2021-03-16 23:26:50] Testing on 5000 data points...
[2021-03-16 23:26:50] Test accuracy: 0.8910
[2021-03-16 23:26:50] Score for 100 labels: 0.8910
[2021-03-16 23:26:50] Showing labelled: False (4900/5000 visible)
[2021-03-16 23:26:50] Found 4900 unlabelled features.
[2021-03-16 23:26:50] Showing labelled: True (125/5000 visible)
[2021-03-16 23:26:50] Training mlp across 125 data points in blobs...
[2021-03-16 23:26:54] Training accuracy: 0.9619
[2021-03-16 23:26:54] Testing on 5000 data points...
[2021-03-16 23:26:54] Test accuracy: 0.8872
[2021-03-16 23:26:54] Score for 125 labels: 0.8872
[2021-03-16 23:26:54] Showing labelled: False (4875/5000 visible)
[2021-03-16 23:26:54] Found 4875 unlabelled features.
[2021-03-16 23:26:54] Showing labelled: True (150/5000 visible)
[2021-03-16 23:26:54] Training mlp across 150 data points in blobs...
[2021-03-16 23:26:58] Training accuracy: 0.9758
[2021-03-16 23:26:58] Testing on 5000 data points...
[2021-03-16 23:26:58] Test accuracy: 0.8954
[2021-03-16 23:26:58] Score for 150 labels: 0.8954
[2021-03-16 23:26:58] Showing labelled: False (4850/5000 visible)
[2021-03-16 23:26:58] Found 4850 unlabelled features.
[2021-03-16 23:26:58] Showing labelled: True (175/5000 visible)
[2021-03-16 23:26:58] Training mlp across 175 data points in blobs...
[2021-03-16 23:27:03] Training accuracy: 0.9795
[2021-03-16 23:27:03] Testing on 5000 data points...
[2021-03-16 23:27:03] Test accuracy: 0.8940
[2021-03-16 23:27:03] Score for 175 labels: 0.8940
[2021-03-16 23:27:03] Showing labelled: False (4825/5000 visible)
[2021-03-16 23:27:03] Found 4825 unlabelled features.
[2021-03-16 23:27:03] Showing labelled: True (200/5000 visible)
[2021-03-16 23:27:03] Training mlp across 200 data points in blobs...
[2021-03-16 23:27:08] Training accuracy: 0.9821
[2021-03-16 23:27:08] Testing on 5000 data points...
[2021-03-16 23:27:08] Test accuracy: 0.8924
[2021-03-16 23:27:08] Score for 200 labels: 0.8924
[2021-03-16 23:27:08] Showing labelled: False (4800/5000 visible)
[2021-03-16 23:27:08] Found 4800 unlabelled features.
[2021-03-16 23:27:08] Showing labelled: True (225/5000 visible)
[2021-03-16 23:27:08] Training mlp across 225 data points in blobs...
[2021-03-16 23:27:15] Training accuracy: 0.9709
[2021-03-16 23:27:15] Testing on 5000 data points...
[2021-03-16 23:27:15] Test accuracy: 0.8790
[2021-03-16 23:27:15] Score for 225 labels: 0.8790
[2021-03-16 23:27:15] Showing labelled: False (4775/5000 visible)
[2021-03-16 23:27:15] Found 4775 unlabelled features.
[2021-03-16 23:27:15] Showing labelled: True (250/5000 visible)
[2021-03-16 23:27:15] Training mlp across 250 data points in blobs...
[2021-03-16 23:27:22] Training accuracy: 0.9762
[2021-03-16 23:27:22] Testing on 5000 data points...
[2021-03-16 23:27:22] Test accuracy: 0.8974
[2021-03-16 23:27:22] Score for 250 labels: 0.8974
[2021-03-16 23:27:22] Showing labelled: False (4750/5000 visible)
[2021-03-16 23:27:22] Found 4750 unlabelled features.
[2021-03-16 23:27:22] Showing labelled: True (275/5000 visible)
[2021-03-16 23:27:22] Training mlp across 275 data points in blobs...
[2021-03-16 23:27:30] Training accuracy: 0.9772
[2021-03-16 23:27:30] Testing on 5000 data points...
[2021-03-16 23:27:30] Test accuracy: 0.9048
[2021-03-16 23:27:30] Score for 275 labels: 0.9048
[2021-03-16 23:27:30] Showing labelled: False (4725/5000 visible)
[2021-03-16 23:27:30] Found 4725 unlabelled features.
[2021-03-16 23:27:30] Showing labelled: True (300/5000 visible)
[2021-03-16 23:27:30] Training mlp across 300 data points in blobs...
[2021-03-16 23:27:38] Training accuracy: 0.9655
[2021-03-16 23:27:38] Testing on 5000 data points...
[2021-03-16 23:27:38] Test accuracy: 0.8974
[2021-03-16 23:27:38] Score for 300 labels: 0.8974
[2021-03-16 23:27:38] Running: experiment 2
[2021-03-16 23:27:38] Showing labelled: True (50/5000 visible)
[2021-03-16 23:27:38] mlp: initialized 1482 parameters.
[2021-03-16 23:27:38] Creating trainer with model on device: cuda
[2021-03-16 23:27:38] Training mlp across 50 data points in blobs...
[2021-03-16 23:27:39] Training accuracy: 0.8425
[2021-03-16 23:27:39] Testing on 5000 data points...
[2021-03-16 23:27:39] Test accuracy: 0.6058
[2021-03-16 23:27:39] Score for 50 labels: 0.6058
[2021-03-16 23:27:39] Showing labelled: False (4950/5000 visible)
[2021-03-16 23:27:39] Found 4950 unlabelled features.
[2021-03-16 23:27:39] Showing labelled: True (75/5000 visible)
[2021-03-16 23:27:39] Training mlp across 75 data points in blobs...
[2021-03-16 23:27:42] Training accuracy: 0.9519
[2021-03-16 23:27:42] Testing on 5000 data points...
[2021-03-16 23:27:42] Test accuracy: 0.8484
[2021-03-16 23:27:42] Score for 75 labels: 0.8484
[2021-03-16 23:27:42] Showing labelled: False (4925/5000 visible)
[2021-03-16 23:27:42] Found 4925 unlabelled features.
[2021-03-16 23:27:42] Showing labelled: True (100/5000 visible)
[2021-03-16 23:27:42] Training mlp across 100 data points in blobs...
[2021-03-16 23:27:45] Training accuracy: 0.9232
[2021-03-16 23:27:45] Testing on 5000 data points...
[2021-03-16 23:27:45] Test accuracy: 0.8770
[2021-03-16 23:27:45] Score for 100 labels: 0.8770
[2021-03-16 23:27:45] Showing labelled: False (4900/5000 visible)
[2021-03-16 23:27:45] Found 4900 unlabelled features.
[2021-03-16 23:27:45] Showing labelled: True (125/5000 visible)
[2021-03-16 23:27:45] Training mlp across 125 data points in blobs...
[2021-03-16 23:27:48] Training accuracy: 0.9364
[2021-03-16 23:27:48] Testing on 5000 data points...
[2021-03-16 23:27:48] Test accuracy: 0.8720
[2021-03-16 23:27:48] Score for 125 labels: 0.8720
[2021-03-16 23:27:48] Showing labelled: False (4875/5000 visible)
[2021-03-16 23:27:48] Found 4875 unlabelled features.
[2021-03-16 23:27:48] Showing labelled: True (150/5000 visible)
[2021-03-16 23:27:48] Training mlp across 150 data points in blobs...
[2021-03-16 23:27:52] Training accuracy: 0.9416
[2021-03-16 23:27:52] Testing on 5000 data points...
[2021-03-16 23:27:52] Test accuracy: 0.8756
[2021-03-16 23:27:52] Score for 150 labels: 0.8756
[2021-03-16 23:27:52] Showing labelled: False (4850/5000 visible)
[2021-03-16 23:27:52] Found 4850 unlabelled features.
[2021-03-16 23:27:52] Showing labelled: True (175/5000 visible)
[2021-03-16 23:27:52] Training mlp across 175 data points in blobs...
[2021-03-16 23:27:58] Training accuracy: 0.9316
[2021-03-16 23:27:58] Testing on 5000 data points...
[2021-03-16 23:27:58] Test accuracy: 0.8638
[2021-03-16 23:27:58] Score for 175 labels: 0.8638
[2021-03-16 23:27:58] Showing labelled: False (4825/5000 visible)
[2021-03-16 23:27:58] Found 4825 unlabelled features.
[2021-03-16 23:27:58] Showing labelled: True (200/5000 visible)
[2021-03-16 23:27:58] Training mlp across 200 data points in blobs...
[2021-03-16 23:28:03] Training accuracy: 0.9260
[2021-03-16 23:28:03] Testing on 5000 data points...
[2021-03-16 23:28:03] Test accuracy: 0.8628
[2021-03-16 23:28:03] Score for 200 labels: 0.8628
[2021-03-16 23:28:03] Showing labelled: False (4800/5000 visible)
[2021-03-16 23:28:03] Found 4800 unlabelled features.
[2021-03-16 23:28:03] Showing labelled: True (225/5000 visible)
[2021-03-16 23:28:03] Training mlp across 225 data points in blobs...
[2021-03-16 23:28:09] Training accuracy: 0.9343
[2021-03-16 23:28:09] Testing on 5000 data points...
[2021-03-16 23:28:09] Test accuracy: 0.8660
[2021-03-16 23:28:09] Score for 225 labels: 0.8660
[2021-03-16 23:28:09] Showing labelled: False (4775/5000 visible)
[2021-03-16 23:28:09] Found 4775 unlabelled features.
[2021-03-16 23:28:09] Showing labelled: True (250/5000 visible)
[2021-03-16 23:28:09] Training mlp across 250 data points in blobs...
[2021-03-16 23:28:16] Training accuracy: 0.9347
[2021-03-16 23:28:16] Testing on 5000 data points...
[2021-03-16 23:28:16] Test accuracy: 0.8714
[2021-03-16 23:28:16] Score for 250 labels: 0.8714
[2021-03-16 23:28:16] Showing labelled: False (4750/5000 visible)
[2021-03-16 23:28:16] Found 4750 unlabelled features.
[2021-03-16 23:28:16] Showing labelled: True (275/5000 visible)
[2021-03-16 23:28:16] Training mlp across 275 data points in blobs...
[2021-03-16 23:28:23] Training accuracy: 0.9251
[2021-03-16 23:28:23] Testing on 5000 data points...
[2021-03-16 23:28:23] Test accuracy: 0.8796
[2021-03-16 23:28:23] Score for 275 labels: 0.8796
[2021-03-16 23:28:23] Showing labelled: False (4725/5000 visible)
[2021-03-16 23:28:23] Found 4725 unlabelled features.
[2021-03-16 23:28:23] Showing labelled: True (300/5000 visible)
[2021-03-16 23:28:23] Training mlp across 300 data points in blobs...
[2021-03-16 23:28:31] Training accuracy: 0.9286
[2021-03-16 23:28:31] Testing on 5000 data points...
[2021-03-16 23:28:31] Test accuracy: 0.8726
[2021-03-16 23:28:31] Score for 300 labels: 0.8726
[2021-03-16 23:28:31] Experiment repeat 2/4
[2021-03-16 23:28:31] Randomly labelled 50/5000
[2021-03-16 23:28:31] Showing labelled: True (50/5000 visible)
[2021-03-16 23:28:31] Running: experiment 0
[2021-03-16 23:28:31] Showing labelled: True (50/5000 visible)
[2021-03-16 23:28:31] mlp: initialized 1482 parameters.
[2021-03-16 23:28:31] Creating trainer with model on device: cuda
[2021-03-16 23:28:31] Training mlp across 50 data points in blobs...
[2021-03-16 23:28:33] Training accuracy: 0.8217
[2021-03-16 23:28:33] Testing on 5000 data points...
[2021-03-16 23:28:33] Test accuracy: 0.5558
[2021-03-16 23:28:33] Score for 50 labels: 0.5558
[2021-03-16 23:28:33] Showing labelled: False (4950/5000 visible)
[2021-03-16 23:28:33] Found 4950 unlabelled features.
[2021-03-16 23:28:33] Showing labelled: True (75/5000 visible)
[2021-03-16 23:28:33] Training mlp across 75 data points in blobs...
[2021-03-16 23:28:36] Training accuracy: 0.8917
[2021-03-16 23:28:36] Testing on 5000 data points...
[2021-03-16 23:28:36] Test accuracy: 0.8556
[2021-03-16 23:28:36] Score for 75 labels: 0.8556
[2021-03-16 23:28:36] Showing labelled: False (4925/5000 visible)
[2021-03-16 23:28:36] Found 4925 unlabelled features.
[2021-03-16 23:28:36] Showing labelled: True (100/5000 visible)
[2021-03-16 23:28:36] Training mlp across 100 data points in blobs...
[2021-03-16 23:28:39] Training accuracy: 0.9632
[2021-03-16 23:28:39] Testing on 5000 data points...
[2021-03-16 23:28:39] Test accuracy: 0.8732
[2021-03-16 23:28:39] Score for 100 labels: 0.8732
[2021-03-16 23:28:39] Showing labelled: False (4900/5000 visible)
[2021-03-16 23:28:39] Found 4900 unlabelled features.
[2021-03-16 23:28:39] Showing labelled: True (125/5000 visible)
[2021-03-16 23:28:39] Training mlp across 125 data points in blobs...
[2021-03-16 23:28:43] Training accuracy: 0.9594
[2021-03-16 23:28:43] Testing on 5000 data points...
[2021-03-16 23:28:43] Test accuracy: 0.8854
[2021-03-16 23:28:43] Score for 125 labels: 0.8854
[2021-03-16 23:28:43] Showing labelled: False (4875/5000 visible)
[2021-03-16 23:28:43] Found 4875 unlabelled features.
[2021-03-16 23:28:44] Showing labelled: True (150/5000 visible)
[2021-03-16 23:28:44] Training mlp across 150 data points in blobs...
[2021-03-16 23:28:47] Training accuracy: 0.9524
[2021-03-16 23:28:47] Testing on 5000 data points...
[2021-03-16 23:28:48] Test accuracy: 0.8928
[2021-03-16 23:28:48] Score for 150 labels: 0.8928
[2021-03-16 23:28:48] Showing labelled: False (4850/5000 visible)
[2021-03-16 23:28:48] Found 4850 unlabelled features.
[2021-03-16 23:28:48] Showing labelled: True (175/5000 visible)
[2021-03-16 23:28:48] Training mlp across 175 data points in blobs...
[2021-03-16 23:28:53] Training accuracy: 0.9454
[2021-03-16 23:28:53] Testing on 5000 data points...
[2021-03-16 23:28:53] Test accuracy: 0.8964
[2021-03-16 23:28:53] Score for 175 labels: 0.8964
[2021-03-16 23:28:53] Showing labelled: False (4825/5000 visible)
[2021-03-16 23:28:53] Found 4825 unlabelled features.
[2021-03-16 23:28:54] Showing labelled: True (200/5000 visible)
[2021-03-16 23:28:54] Training mlp across 200 data points in blobs...
[2021-03-16 23:28:59] Training accuracy: 0.9595
[2021-03-16 23:28:59] Testing on 5000 data points...
[2021-03-16 23:28:59] Test accuracy: 0.8988
[2021-03-16 23:28:59] Score for 200 labels: 0.8988
[2021-03-16 23:28:59] Showing labelled: False (4800/5000 visible)
[2021-03-16 23:28:59] Found 4800 unlabelled features.
[2021-03-16 23:29:00] Showing labelled: True (225/5000 visible)
[2021-03-16 23:29:00] Training mlp across 225 data points in blobs...
[2021-03-16 23:29:06] Training accuracy: 0.9545
[2021-03-16 23:29:06] Testing on 5000 data points...
[2021-03-16 23:29:06] Test accuracy: 0.8946
[2021-03-16 23:29:06] Score for 225 labels: 0.8946
[2021-03-16 23:29:06] Showing labelled: False (4775/5000 visible)
[2021-03-16 23:29:06] Found 4775 unlabelled features.
[2021-03-16 23:29:07] Showing labelled: True (250/5000 visible)
[2021-03-16 23:29:07] Training mlp across 250 data points in blobs...
[2021-03-16 23:29:13] Training accuracy: 0.9551
[2021-03-16 23:29:13] Testing on 5000 data points...
[2021-03-16 23:29:13] Test accuracy: 0.8946
[2021-03-16 23:29:13] Score for 250 labels: 0.8946
[2021-03-16 23:29:13] Showing labelled: False (4750/5000 visible)
[2021-03-16 23:29:13] Found 4750 unlabelled features.
[2021-03-16 23:29:14] Showing labelled: True (275/5000 visible)
[2021-03-16 23:29:14] Training mlp across 275 data points in blobs...
[2021-03-16 23:29:21] Training accuracy: 0.9549
[2021-03-16 23:29:21] Testing on 5000 data points...
[2021-03-16 23:29:21] Test accuracy: 0.8992
[2021-03-16 23:29:21] Score for 275 labels: 0.8992
[2021-03-16 23:29:21] Showing labelled: False (4725/5000 visible)
[2021-03-16 23:29:21] Found 4725 unlabelled features.
[2021-03-16 23:29:22] Showing labelled: True (300/5000 visible)
[2021-03-16 23:29:22] Training mlp across 300 data points in blobs...
[2021-03-16 23:29:30] Training accuracy: 0.9497
[2021-03-16 23:29:30] Testing on 5000 data points...
[2021-03-16 23:29:30] Test accuracy: 0.8900
[2021-03-16 23:29:30] Score for 300 labels: 0.8900
[2021-03-16 23:29:30] Running: experiment 1
[2021-03-16 23:29:30] Showing labelled: True (50/5000 visible)
[2021-03-16 23:29:30] mlp: initialized 1482 parameters.
[2021-03-16 23:29:30] Creating trainer with model on device: cuda
[2021-03-16 23:29:30] Training mlp across 50 data points in blobs...
[2021-03-16 23:29:31] Training accuracy: 0.8045
[2021-03-16 23:29:31] Testing on 5000 data points...
[2021-03-16 23:29:31] Test accuracy: 0.5538
[2021-03-16 23:29:31] Score for 50 labels: 0.5538
[2021-03-16 23:29:31] Showing labelled: False (4950/5000 visible)
[2021-03-16 23:29:31] Found 4950 unlabelled features.
[2021-03-16 23:29:31] Showing labelled: True (75/5000 visible)
[2021-03-16 23:29:31] Training mlp across 75 data points in blobs...
[2021-03-16 23:29:33] Training accuracy: 0.8745
[2021-03-16 23:29:33] Testing on 5000 data points...
[2021-03-16 23:29:34] Test accuracy: 0.8580
[2021-03-16 23:29:34] Score for 75 labels: 0.8580
[2021-03-16 23:29:34] Showing labelled: False (4925/5000 visible)
[2021-03-16 23:29:34] Found 4925 unlabelled features.
[2021-03-16 23:29:34] Showing labelled: True (100/5000 visible)
[2021-03-16 23:29:34] Training mlp across 100 data points in blobs...
[2021-03-16 23:29:36] Training accuracy: 0.9392
[2021-03-16 23:29:36] Testing on 5000 data points...
[2021-03-16 23:29:36] Test accuracy: 0.8794
[2021-03-16 23:29:36] Score for 100 labels: 0.8794
[2021-03-16 23:29:36] Showing labelled: False (4900/5000 visible)
[2021-03-16 23:29:36] Found 4900 unlabelled features.
[2021-03-16 23:29:36] Showing labelled: True (125/5000 visible)
[2021-03-16 23:29:36] Training mlp across 125 data points in blobs...
[2021-03-16 23:29:40] Training accuracy: 0.9581
[2021-03-16 23:29:40] Testing on 5000 data points...
[2021-03-16 23:29:40] Test accuracy: 0.8870
[2021-03-16 23:29:40] Score for 125 labels: 0.8870
[2021-03-16 23:29:40] Showing labelled: False (4875/5000 visible)
[2021-03-16 23:29:40] Found 4875 unlabelled features.
[2021-03-16 23:29:40] Showing labelled: True (150/5000 visible)
[2021-03-16 23:29:40] Training mlp across 150 data points in blobs...
[2021-03-16 23:29:44] Training accuracy: 0.9651
[2021-03-16 23:29:44] Testing on 5000 data points...
[2021-03-16 23:29:44] Test accuracy: 0.8944
[2021-03-16 23:29:44] Score for 150 labels: 0.8944
[2021-03-16 23:29:44] Showing labelled: False (4850/5000 visible)
[2021-03-16 23:29:44] Found 4850 unlabelled features.
[2021-03-16 23:29:44] Showing labelled: True (175/5000 visible)
[2021-03-16 23:29:44] Training mlp across 175 data points in blobs...
[2021-03-16 23:29:49] Training accuracy: 0.9848
[2021-03-16 23:29:49] Testing on 5000 data points...
[2021-03-16 23:29:49] Test accuracy: 0.8732
[2021-03-16 23:29:49] Score for 175 labels: 0.8732
[2021-03-16 23:29:49] Showing labelled: False (4825/5000 visible)
[2021-03-16 23:29:49] Found 4825 unlabelled features.
[2021-03-16 23:29:49] Showing labelled: True (200/5000 visible)
[2021-03-16 23:29:49] Training mlp across 200 data points in blobs...
[2021-03-16 23:29:55] Training accuracy: 0.9578
[2021-03-16 23:29:55] Testing on 5000 data points...
[2021-03-16 23:29:55] Test accuracy: 0.8944
[2021-03-16 23:29:55] Score for 200 labels: 0.8944
[2021-03-16 23:29:55] Showing labelled: False (4800/5000 visible)
[2021-03-16 23:29:55] Found 4800 unlabelled features.
[2021-03-16 23:29:55] Showing labelled: True (225/5000 visible)
[2021-03-16 23:29:55] Training mlp across 225 data points in blobs...
[2021-03-16 23:30:02] Training accuracy: 0.9541
[2021-03-16 23:30:02] Testing on 5000 data points...
[2021-03-16 23:30:02] Test accuracy: 0.8918
[2021-03-16 23:30:02] Score for 225 labels: 0.8918
[2021-03-16 23:30:02] Showing labelled: False (4775/5000 visible)
[2021-03-16 23:30:02] Found 4775 unlabelled features.
[2021-03-16 23:30:03] Showing labelled: True (250/5000 visible)
[2021-03-16 23:30:03] Training mlp across 250 data points in blobs...
[2021-03-16 23:30:10] Training accuracy: 0.9459
[2021-03-16 23:30:10] Testing on 5000 data points...
[2021-03-16 23:30:10] Test accuracy: 0.8856
[2021-03-16 23:30:10] Score for 250 labels: 0.8856
[2021-03-16 23:30:10] Showing labelled: False (4750/5000 visible)
[2021-03-16 23:30:10] Found 4750 unlabelled features.
[2021-03-16 23:30:10] Showing labelled: True (275/5000 visible)
[2021-03-16 23:30:10] Training mlp across 275 data points in blobs...
[2021-03-16 23:30:17] Training accuracy: 0.9508
[2021-03-16 23:30:17] Testing on 5000 data points...
[2021-03-16 23:30:17] Test accuracy: 0.8726
[2021-03-16 23:30:17] Score for 275 labels: 0.8726
[2021-03-16 23:30:17] Showing labelled: False (4725/5000 visible)
[2021-03-16 23:30:17] Found 4725 unlabelled features.
[2021-03-16 23:30:18] Showing labelled: True (300/5000 visible)
[2021-03-16 23:30:18] Training mlp across 300 data points in blobs...
[2021-03-16 23:30:26] Training accuracy: 0.9508
[2021-03-16 23:30:26] Testing on 5000 data points...
[2021-03-16 23:30:26] Test accuracy: 0.8884
[2021-03-16 23:30:26] Score for 300 labels: 0.8884
[2021-03-16 23:30:26] Running: experiment 2
[2021-03-16 23:30:26] Showing labelled: True (50/5000 visible)
[2021-03-16 23:30:26] mlp: initialized 1482 parameters.
[2021-03-16 23:30:26] Creating trainer with model on device: cuda
[2021-03-16 23:30:26] Training mlp across 50 data points in blobs...
[2021-03-16 23:30:27] Training accuracy: 0.8297
[2021-03-16 23:30:27] Testing on 5000 data points...
[2021-03-16 23:30:27] Test accuracy: 0.5622
[2021-03-16 23:30:27] Score for 50 labels: 0.5622
[2021-03-16 23:30:27] Showing labelled: False (4950/5000 visible)
[2021-03-16 23:30:27] Found 4950 unlabelled features.
[2021-03-16 23:30:27] Showing labelled: True (75/5000 visible)
[2021-03-16 23:30:27] Training mlp across 75 data points in blobs...
[2021-03-16 23:30:29] Training accuracy: 0.9106
[2021-03-16 23:30:29] Testing on 5000 data points...
[2021-03-16 23:30:29] Test accuracy: 0.6884
[2021-03-16 23:30:29] Score for 75 labels: 0.6884
[2021-03-16 23:30:29] Showing labelled: False (4925/5000 visible)
[2021-03-16 23:30:29] Found 4925 unlabelled features.
[2021-03-16 23:30:29] Showing labelled: True (100/5000 visible)
[2021-03-16 23:30:29] Training mlp across 100 data points in blobs...
[2021-03-16 23:30:32] Training accuracy: 0.9473
[2021-03-16 23:30:32] Testing on 5000 data points...
[2021-03-16 23:30:32] Test accuracy: 0.6930
[2021-03-16 23:30:32] Score for 100 labels: 0.6930
[2021-03-16 23:30:32] Showing labelled: False (4900/5000 visible)
[2021-03-16 23:30:32] Found 4900 unlabelled features.
[2021-03-16 23:30:32] Showing labelled: True (125/5000 visible)
[2021-03-16 23:30:32] Training mlp across 125 data points in blobs...
[2021-03-16 23:30:36] Training accuracy: 0.9499
[2021-03-16 23:30:36] Testing on 5000 data points...
[2021-03-16 23:30:36] Test accuracy: 0.7396
[2021-03-16 23:30:36] Score for 125 labels: 0.7396
[2021-03-16 23:30:36] Showing labelled: False (4875/5000 visible)
[2021-03-16 23:30:36] Found 4875 unlabelled features.
[2021-03-16 23:30:36] Showing labelled: True (150/5000 visible)
[2021-03-16 23:30:36] Training mlp across 150 data points in blobs...
[2021-03-16 23:30:40] Training accuracy: 0.9400
[2021-03-16 23:30:40] Testing on 5000 data points...
[2021-03-16 23:30:40] Test accuracy: 0.7734
[2021-03-16 23:30:40] Score for 150 labels: 0.7734
[2021-03-16 23:30:40] Showing labelled: False (4850/5000 visible)
[2021-03-16 23:30:40] Found 4850 unlabelled features.
[2021-03-16 23:30:40] Showing labelled: True (175/5000 visible)
[2021-03-16 23:30:40] Training mlp across 175 data points in blobs...
[2021-03-16 23:30:45] Training accuracy: 0.9327
[2021-03-16 23:30:45] Testing on 5000 data points...
[2021-03-16 23:30:45] Test accuracy: 0.8832
[2021-03-16 23:30:45] Score for 175 labels: 0.8832
[2021-03-16 23:30:45] Showing labelled: False (4825/5000 visible)
[2021-03-16 23:30:45] Found 4825 unlabelled features.
[2021-03-16 23:30:45] Showing labelled: True (200/5000 visible)
[2021-03-16 23:30:45] Training mlp across 200 data points in blobs...
[2021-03-16 23:30:51] Training accuracy: 0.9171
[2021-03-16 23:30:51] Testing on 5000 data points...
[2021-03-16 23:30:52] Test accuracy: 0.8822
[2021-03-16 23:30:52] Score for 200 labels: 0.8822
[2021-03-16 23:30:52] Showing labelled: False (4800/5000 visible)
[2021-03-16 23:30:52] Found 4800 unlabelled features.
[2021-03-16 23:30:52] Showing labelled: True (225/5000 visible)
[2021-03-16 23:30:52] Training mlp across 225 data points in blobs...
[2021-03-16 23:30:59] Training accuracy: 0.9211
[2021-03-16 23:30:59] Testing on 5000 data points...
[2021-03-16 23:30:59] Test accuracy: 0.8944
[2021-03-16 23:30:59] Score for 225 labels: 0.8944
[2021-03-16 23:30:59] Showing labelled: False (4775/5000 visible)
[2021-03-16 23:30:59] Found 4775 unlabelled features.
[2021-03-16 23:30:59] Showing labelled: True (250/5000 visible)
[2021-03-16 23:30:59] Training mlp across 250 data points in blobs...
[2021-03-16 23:31:06] Training accuracy: 0.9259
[2021-03-16 23:31:06] Testing on 5000 data points...
[2021-03-16 23:31:07] Test accuracy: 0.8878
[2021-03-16 23:31:07] Score for 250 labels: 0.8878
[2021-03-16 23:31:07] Showing labelled: False (4750/5000 visible)
[2021-03-16 23:31:07] Found 4750 unlabelled features.
[2021-03-16 23:31:07] Showing labelled: True (275/5000 visible)
[2021-03-16 23:31:07] Training mlp across 275 data points in blobs...
[2021-03-16 23:31:16] Training accuracy: 0.9326
[2021-03-16 23:31:16] Testing on 5000 data points...
[2021-03-16 23:31:16] Test accuracy: 0.8880
[2021-03-16 23:31:16] Score for 275 labels: 0.8880
[2021-03-16 23:31:16] Showing labelled: False (4725/5000 visible)
[2021-03-16 23:31:16] Found 4725 unlabelled features.
[2021-03-16 23:31:16] Showing labelled: True (300/5000 visible)
[2021-03-16 23:31:16] Training mlp across 300 data points in blobs...
[2021-03-16 23:31:24] Training accuracy: 0.9335
[2021-03-16 23:31:24] Testing on 5000 data points...
[2021-03-16 23:31:24] Test accuracy: 0.8844
[2021-03-16 23:31:24] Score for 300 labels: 0.8844
[2021-03-16 23:31:24] Experiment repeat 3/4
[2021-03-16 23:31:24] Randomly labelled 50/5000
[2021-03-16 23:31:24] Showing labelled: True (50/5000 visible)
[2021-03-16 23:31:24] Running: experiment 0
[2021-03-16 23:31:24] Showing labelled: True (50/5000 visible)
[2021-03-16 23:31:24] mlp: initialized 1482 parameters.
[2021-03-16 23:31:24] Creating trainer with model on device: cuda
[2021-03-16 23:31:24] Training mlp across 50 data points in blobs...
[2021-03-16 23:31:26] Training accuracy: 0.7938
[2021-03-16 23:31:26] Testing on 5000 data points...
[2021-03-16 23:31:26] Test accuracy: 0.6298
[2021-03-16 23:31:26] Score for 50 labels: 0.6298
[2021-03-16 23:31:26] Showing labelled: False (4950/5000 visible)
[2021-03-16 23:31:26] Found 4950 unlabelled features.
[2021-03-16 23:31:26] Showing labelled: True (75/5000 visible)
[2021-03-16 23:31:26] Training mlp across 75 data points in blobs...
[2021-03-16 23:31:29] Training accuracy: 0.8842
[2021-03-16 23:31:29] Testing on 5000 data points...
[2021-03-16 23:31:29] Test accuracy: 0.8738
[2021-03-16 23:31:29] Score for 75 labels: 0.8738
[2021-03-16 23:31:29] Showing labelled: False (4925/5000 visible)
[2021-03-16 23:31:29] Found 4925 unlabelled features.
[2021-03-16 23:31:29] Showing labelled: True (100/5000 visible)
[2021-03-16 23:31:29] Training mlp across 100 data points in blobs...
[2021-03-16 23:31:32] Training accuracy: 0.9194
[2021-03-16 23:31:32] Testing on 5000 data points...
[2021-03-16 23:31:32] Test accuracy: 0.8856
[2021-03-16 23:31:32] Score for 100 labels: 0.8856
[2021-03-16 23:31:32] Showing labelled: False (4900/5000 visible)
[2021-03-16 23:31:32] Found 4900 unlabelled features.
[2021-03-16 23:31:32] Showing labelled: True (125/5000 visible)
[2021-03-16 23:31:32] Training mlp across 125 data points in blobs...
[2021-03-16 23:31:36] Training accuracy: 0.9345
[2021-03-16 23:31:36] Testing on 5000 data points...
[2021-03-16 23:31:36] Test accuracy: 0.9008
[2021-03-16 23:31:36] Score for 125 labels: 0.9008
[2021-03-16 23:31:36] Showing labelled: False (4875/5000 visible)
[2021-03-16 23:31:36] Found 4875 unlabelled features.
[2021-03-16 23:31:36] Showing labelled: True (150/5000 visible)
[2021-03-16 23:31:36] Training mlp across 150 data points in blobs...
[2021-03-16 23:31:40] Training accuracy: 0.9413
[2021-03-16 23:31:40] Testing on 5000 data points...
[2021-03-16 23:31:40] Test accuracy: 0.8974
[2021-03-16 23:31:40] Score for 150 labels: 0.8974
[2021-03-16 23:31:40] Showing labelled: False (4850/5000 visible)
[2021-03-16 23:31:40] Found 4850 unlabelled features.
[2021-03-16 23:31:41] Showing labelled: True (175/5000 visible)
[2021-03-16 23:31:41] Training mlp across 175 data points in blobs...
[2021-03-16 23:31:46] Training accuracy: 0.9533
[2021-03-16 23:31:46] Testing on 5000 data points...
[2021-03-16 23:31:46] Test accuracy: 0.9008
[2021-03-16 23:31:46] Score for 175 labels: 0.9008
[2021-03-16 23:31:46] Showing labelled: False (4825/5000 visible)
[2021-03-16 23:31:46] Found 4825 unlabelled features.
[2021-03-16 23:31:47] Showing labelled: True (200/5000 visible)
[2021-03-16 23:31:47] Training mlp across 200 data points in blobs...
[2021-03-16 23:31:52] Training accuracy: 0.9583
[2021-03-16 23:31:52] Testing on 5000 data points...
[2021-03-16 23:31:52] Test accuracy: 0.8974
[2021-03-16 23:31:52] Score for 200 labels: 0.8974
[2021-03-16 23:31:52] Showing labelled: False (4800/5000 visible)
[2021-03-16 23:31:52] Found 4800 unlabelled features.
[2021-03-16 23:31:53] Showing labelled: True (225/5000 visible)
[2021-03-16 23:31:53] Training mlp across 225 data points in blobs...
[2021-03-16 23:31:59] Training accuracy: 0.9604
[2021-03-16 23:31:59] Testing on 5000 data points...
[2021-03-16 23:31:59] Test accuracy: 0.9006
[2021-03-16 23:31:59] Score for 225 labels: 0.9006
[2021-03-16 23:31:59] Showing labelled: False (4775/5000 visible)
[2021-03-16 23:31:59] Found 4775 unlabelled features.
[2021-03-16 23:32:00] Showing labelled: True (250/5000 visible)
[2021-03-16 23:32:00] Training mlp across 250 data points in blobs...
[2021-03-16 23:32:06] Training accuracy: 0.9610
[2021-03-16 23:32:06] Testing on 5000 data points...
[2021-03-16 23:32:06] Test accuracy: 0.8992
[2021-03-16 23:32:06] Score for 250 labels: 0.8992
[2021-03-16 23:32:06] Showing labelled: False (4750/5000 visible)
[2021-03-16 23:32:06] Found 4750 unlabelled features.
[2021-03-16 23:32:07] Showing labelled: True (275/5000 visible)
[2021-03-16 23:32:07] Training mlp across 275 data points in blobs...
[2021-03-16 23:32:14] Training accuracy: 0.9655
[2021-03-16 23:32:14] Testing on 5000 data points...
[2021-03-16 23:32:14] Test accuracy: 0.9016
[2021-03-16 23:32:14] Score for 275 labels: 0.9016
[2021-03-16 23:32:14] Showing labelled: False (4725/5000 visible)
[2021-03-16 23:32:14] Found 4725 unlabelled features.
[2021-03-16 23:32:15] Showing labelled: True (300/5000 visible)
[2021-03-16 23:32:15] Training mlp across 300 data points in blobs...
[2021-03-16 23:32:23] Training accuracy: 0.9726
[2021-03-16 23:32:23] Testing on 5000 data points...
[2021-03-16 23:32:23] Test accuracy: 0.9010
[2021-03-16 23:32:23] Score for 300 labels: 0.9010
[2021-03-16 23:32:23] Running: experiment 1
[2021-03-16 23:32:23] Showing labelled: True (50/5000 visible)
[2021-03-16 23:32:23] mlp: initialized 1482 parameters.
[2021-03-16 23:32:23] Creating trainer with model on device: cuda
[2021-03-16 23:32:23] Training mlp across 50 data points in blobs...
[2021-03-16 23:32:24] Training accuracy: 0.7850
[2021-03-16 23:32:24] Testing on 5000 data points...
[2021-03-16 23:32:24] Test accuracy: 0.6228
[2021-03-16 23:32:24] Score for 50 labels: 0.6228
[2021-03-16 23:32:24] Showing labelled: False (4950/5000 visible)
[2021-03-16 23:32:24] Found 4950 unlabelled features.
[2021-03-16 23:32:24] Showing labelled: True (75/5000 visible)
[2021-03-16 23:32:24] Training mlp across 75 data points in blobs...
[2021-03-16 23:32:27] Training accuracy: 0.8727
[2021-03-16 23:32:27] Testing on 5000 data points...
[2021-03-16 23:32:27] Test accuracy: 0.8712
[2021-03-16 23:32:27] Score for 75 labels: 0.8712
[2021-03-16 23:32:27] Showing labelled: False (4925/5000 visible)
[2021-03-16 23:32:27] Found 4925 unlabelled features.
[2021-03-16 23:32:27] Showing labelled: True (100/5000 visible)
[2021-03-16 23:32:27] Training mlp across 100 data points in blobs...
[2021-03-16 23:32:29] Training accuracy: 0.9104
[2021-03-16 23:32:29] Testing on 5000 data points...
[2021-03-16 23:32:29] Test accuracy: 0.8914
[2021-03-16 23:32:29] Score for 100 labels: 0.8914
[2021-03-16 23:32:29] Showing labelled: False (4900/5000 visible)
[2021-03-16 23:32:29] Found 4900 unlabelled features.
[2021-03-16 23:32:30] Showing labelled: True (125/5000 visible)
[2021-03-16 23:32:30] Training mlp across 125 data points in blobs...
[2021-03-16 23:32:33] Training accuracy: 0.9465
[2021-03-16 23:32:33] Testing on 5000 data points...
[2021-03-16 23:32:33] Test accuracy: 0.8994
[2021-03-16 23:32:33] Score for 125 labels: 0.8994
[2021-03-16 23:32:33] Showing labelled: False (4875/5000 visible)
[2021-03-16 23:32:33] Found 4875 unlabelled features.
[2021-03-16 23:32:33] Showing labelled: True (150/5000 visible)
[2021-03-16 23:32:33] Training mlp across 150 data points in blobs...
[2021-03-16 23:32:37] Training accuracy: 0.9641
[2021-03-16 23:32:37] Testing on 5000 data points...
[2021-03-16 23:32:37] Test accuracy: 0.8864
[2021-03-16 23:32:37] Score for 150 labels: 0.8864
[2021-03-16 23:32:37] Showing labelled: False (4850/5000 visible)
[2021-03-16 23:32:37] Found 4850 unlabelled features.
[2021-03-16 23:32:38] Showing labelled: True (175/5000 visible)
[2021-03-16 23:32:38] Training mlp across 175 data points in blobs...
[2021-03-16 23:32:43] Training accuracy: 0.9616
[2021-03-16 23:32:43] Testing on 5000 data points...
[2021-03-16 23:32:43] Test accuracy: 0.8968
[2021-03-16 23:32:43] Score for 175 labels: 0.8968
[2021-03-16 23:32:43] Showing labelled: False (4825/5000 visible)
[2021-03-16 23:32:43] Found 4825 unlabelled features.
[2021-03-16 23:32:43] Showing labelled: True (200/5000 visible)
[2021-03-16 23:32:43] Training mlp across 200 data points in blobs...
[2021-03-16 23:32:48] Training accuracy: 0.9510
[2021-03-16 23:32:48] Testing on 5000 data points...
[2021-03-16 23:32:48] Test accuracy: 0.8986
[2021-03-16 23:32:48] Score for 200 labels: 0.8986
[2021-03-16 23:32:48] Showing labelled: False (4800/5000 visible)
[2021-03-16 23:32:48] Found 4800 unlabelled features.
[2021-03-16 23:32:48] Showing labelled: True (225/5000 visible)
[2021-03-16 23:32:48] Training mlp across 225 data points in blobs...
[2021-03-16 23:32:55] Training accuracy: 0.9550
[2021-03-16 23:32:55] Testing on 5000 data points...
[2021-03-16 23:32:55] Test accuracy: 0.8948
[2021-03-16 23:32:55] Score for 225 labels: 0.8948
[2021-03-16 23:32:55] Showing labelled: False (4775/5000 visible)
[2021-03-16 23:32:55] Found 4775 unlabelled features.
[2021-03-16 23:32:55] Showing labelled: True (250/5000 visible)
[2021-03-16 23:32:55] Training mlp across 250 data points in blobs...
[2021-03-16 23:33:02] Training accuracy: 0.9619
[2021-03-16 23:33:02] Testing on 5000 data points...
[2021-03-16 23:33:02] Test accuracy: 0.8948
[2021-03-16 23:33:02] Score for 250 labels: 0.8948
[2021-03-16 23:33:02] Showing labelled: False (4750/5000 visible)
[2021-03-16 23:33:02] Found 4750 unlabelled features.
[2021-03-16 23:33:02] Showing labelled: True (275/5000 visible)
[2021-03-16 23:33:02] Training mlp across 275 data points in blobs...
[2021-03-16 23:33:09] Training accuracy: 0.9652
[2021-03-16 23:33:09] Testing on 5000 data points...
[2021-03-16 23:33:09] Test accuracy: 0.8922
[2021-03-16 23:33:09] Score for 275 labels: 0.8922
[2021-03-16 23:33:09] Showing labelled: False (4725/5000 visible)
[2021-03-16 23:33:09] Found 4725 unlabelled features.
[2021-03-16 23:33:10] Showing labelled: True (300/5000 visible)
[2021-03-16 23:33:10] Training mlp across 300 data points in blobs...
[2021-03-16 23:33:17] Training accuracy: 0.9685
[2021-03-16 23:33:17] Testing on 5000 data points...
[2021-03-16 23:33:17] Test accuracy: 0.8936
[2021-03-16 23:33:17] Score for 300 labels: 0.8936
[2021-03-16 23:33:17] Running: experiment 2
[2021-03-16 23:33:17] Showing labelled: True (50/5000 visible)
[2021-03-16 23:33:17] mlp: initialized 1482 parameters.
[2021-03-16 23:33:17] Creating trainer with model on device: cuda
[2021-03-16 23:33:17] Training mlp across 50 data points in blobs...
[2021-03-16 23:33:19] Training accuracy: 0.8185
[2021-03-16 23:33:19] Testing on 5000 data points...
[2021-03-16 23:33:19] Test accuracy: 0.6290
[2021-03-16 23:33:19] Score for 50 labels: 0.6290
[2021-03-16 23:33:19] Showing labelled: False (4950/5000 visible)
[2021-03-16 23:33:19] Found 4950 unlabelled features.
[2021-03-16 23:33:19] Showing labelled: True (75/5000 visible)
[2021-03-16 23:33:19] Training mlp across 75 data points in blobs...
[2021-03-16 23:33:21] Training accuracy: 0.8945
[2021-03-16 23:33:21] Testing on 5000 data points...
[2021-03-16 23:33:21] Test accuracy: 0.6578
[2021-03-16 23:33:21] Score for 75 labels: 0.6578
[2021-03-16 23:33:21] Showing labelled: False (4925/5000 visible)
[2021-03-16 23:33:21] Found 4925 unlabelled features.
[2021-03-16 23:33:21] Showing labelled: True (100/5000 visible)
[2021-03-16 23:33:21] Training mlp across 100 data points in blobs...
[2021-03-16 23:33:24] Training accuracy: 0.9109
[2021-03-16 23:33:24] Testing on 5000 data points...
[2021-03-16 23:33:24] Test accuracy: 0.8450
[2021-03-16 23:33:24] Score for 100 labels: 0.8450
[2021-03-16 23:33:24] Showing labelled: False (4900/5000 visible)
[2021-03-16 23:33:24] Found 4900 unlabelled features.
[2021-03-16 23:33:24] Showing labelled: True (125/5000 visible)
[2021-03-16 23:33:24] Training mlp across 125 data points in blobs...
[2021-03-16 23:33:28] Training accuracy: 0.9339
[2021-03-16 23:33:28] Testing on 5000 data points...
[2021-03-16 23:33:28] Test accuracy: 0.8710
[2021-03-16 23:33:28] Score for 125 labels: 0.8710
[2021-03-16 23:33:28] Showing labelled: False (4875/5000 visible)
[2021-03-16 23:33:28] Found 4875 unlabelled features.
[2021-03-16 23:33:28] Showing labelled: True (150/5000 visible)
[2021-03-16 23:33:28] Training mlp across 150 data points in blobs...
[2021-03-16 23:33:32] Training accuracy: 0.9317
[2021-03-16 23:33:32] Testing on 5000 data points...
[2021-03-16 23:33:32] Test accuracy: 0.8860
[2021-03-16 23:33:32] Score for 150 labels: 0.8860
[2021-03-16 23:33:32] Showing labelled: False (4850/5000 visible)
[2021-03-16 23:33:32] Found 4850 unlabelled features.
[2021-03-16 23:33:32] Showing labelled: True (175/5000 visible)
[2021-03-16 23:33:32] Training mlp across 175 data points in blobs...
[2021-03-16 23:33:37] Training accuracy: 0.9515
[2021-03-16 23:33:37] Testing on 5000 data points...
[2021-03-16 23:33:37] Test accuracy: 0.8952
[2021-03-16 23:33:37] Score for 175 labels: 0.8952
[2021-03-16 23:33:37] Showing labelled: False (4825/5000 visible)
[2021-03-16 23:33:37] Found 4825 unlabelled features.
[2021-03-16 23:33:37] Showing labelled: True (200/5000 visible)
[2021-03-16 23:33:37] Training mlp across 200 data points in blobs...
[2021-03-16 23:33:42] Training accuracy: 0.9328
[2021-03-16 23:33:42] Testing on 5000 data points...
[2021-03-16 23:33:42] Test accuracy: 0.9074
[2021-03-16 23:33:42] Score for 200 labels: 0.9074
[2021-03-16 23:33:42] Showing labelled: False (4800/5000 visible)
[2021-03-16 23:33:42] Found 4800 unlabelled features.
[2021-03-16 23:33:42] Showing labelled: True (225/5000 visible)
[2021-03-16 23:33:42] Training mlp across 225 data points in blobs...
[2021-03-16 23:33:49] Training accuracy: 0.9389
[2021-03-16 23:33:49] Testing on 5000 data points...
[2021-03-16 23:33:49] Test accuracy: 0.9044
[2021-03-16 23:33:49] Score for 225 labels: 0.9044
[2021-03-16 23:33:49] Showing labelled: False (4775/5000 visible)
[2021-03-16 23:33:49] Found 4775 unlabelled features.
[2021-03-16 23:33:49] Showing labelled: True (250/5000 visible)
[2021-03-16 23:33:49] Training mlp across 250 data points in blobs...
[2021-03-16 23:33:55] Training accuracy: 0.9446
[2021-03-16 23:33:55] Testing on 5000 data points...
[2021-03-16 23:33:55] Test accuracy: 0.9054
[2021-03-16 23:33:55] Score for 250 labels: 0.9054
[2021-03-16 23:33:55] Showing labelled: False (4750/5000 visible)
[2021-03-16 23:33:55] Found 4750 unlabelled features.
[2021-03-16 23:33:55] Showing labelled: True (275/5000 visible)
[2021-03-16 23:33:55] Training mlp across 275 data points in blobs...
[2021-03-16 23:34:03] Training accuracy: 0.9396
[2021-03-16 23:34:03] Testing on 5000 data points...
[2021-03-16 23:34:03] Test accuracy: 0.8804
[2021-03-16 23:34:03] Score for 275 labels: 0.8804
[2021-03-16 23:34:03] Showing labelled: False (4725/5000 visible)
[2021-03-16 23:34:03] Found 4725 unlabelled features.
[2021-03-16 23:34:03] Showing labelled: True (300/5000 visible)
[2021-03-16 23:34:03] Training mlp across 300 data points in blobs...
[2021-03-16 23:34:11] Training accuracy: 0.9359
[2021-03-16 23:34:11] Testing on 5000 data points...
[2021-03-16 23:34:11] Test accuracy: 0.8964
[2021-03-16 23:34:11] Score for 300 labels: 0.8964
[2021-03-16 23:34:11] Experiment repeat 4/4
[2021-03-16 23:34:11] Randomly labelled 50/5000
[2021-03-16 23:34:11] Showing labelled: True (50/5000 visible)
[2021-03-16 23:34:11] Running: experiment 0
[2021-03-16 23:34:11] Showing labelled: True (50/5000 visible)
[2021-03-16 23:34:11] mlp: initialized 1482 parameters.
[2021-03-16 23:34:11] Creating trainer with model on device: cuda
[2021-03-16 23:34:11] Training mlp across 50 data points in blobs...
[2021-03-16 23:34:12] Training accuracy: 0.8428
[2021-03-16 23:34:12] Testing on 5000 data points...
[2021-03-16 23:34:12] Test accuracy: 0.6160
[2021-03-16 23:34:12] Score for 50 labels: 0.6160
[2021-03-16 23:34:12] Showing labelled: False (4950/5000 visible)
[2021-03-16 23:34:12] Found 4950 unlabelled features.
[2021-03-16 23:34:13] Showing labelled: True (75/5000 visible)
[2021-03-16 23:34:13] Training mlp across 75 data points in blobs...
[2021-03-16 23:34:15] Training accuracy: 0.8463
[2021-03-16 23:34:15] Testing on 5000 data points...
[2021-03-16 23:34:15] Test accuracy: 0.8682
[2021-03-16 23:34:15] Score for 75 labels: 0.8682
[2021-03-16 23:34:15] Showing labelled: False (4925/5000 visible)
[2021-03-16 23:34:15] Found 4925 unlabelled features.
[2021-03-16 23:34:16] Showing labelled: True (100/5000 visible)
[2021-03-16 23:34:16] Training mlp across 100 data points in blobs...
[2021-03-16 23:34:18] Training accuracy: 0.9179
[2021-03-16 23:34:18] Testing on 5000 data points...
[2021-03-16 23:34:18] Test accuracy: 0.8986
[2021-03-16 23:34:18] Score for 100 labels: 0.8986
[2021-03-16 23:34:18] Showing labelled: False (4900/5000 visible)
[2021-03-16 23:34:18] Found 4900 unlabelled features.
[2021-03-16 23:34:19] Showing labelled: True (125/5000 visible)
[2021-03-16 23:34:19] Training mlp across 125 data points in blobs...
[2021-03-16 23:34:23] Training accuracy: 0.9468
[2021-03-16 23:34:23] Testing on 5000 data points...
[2021-03-16 23:34:23] Test accuracy: 0.8974
[2021-03-16 23:34:23] Score for 125 labels: 0.8974
[2021-03-16 23:34:23] Showing labelled: False (4875/5000 visible)
[2021-03-16 23:34:23] Found 4875 unlabelled features.
[2021-03-16 23:34:23] Showing labelled: True (150/5000 visible)
[2021-03-16 23:34:23] Training mlp across 150 data points in blobs...
[2021-03-16 23:34:27] Training accuracy: 0.9603
[2021-03-16 23:34:27] Testing on 5000 data points...
[2021-03-16 23:34:27] Test accuracy: 0.8982
[2021-03-16 23:34:27] Score for 150 labels: 0.8982
[2021-03-16 23:34:27] Showing labelled: False (4850/5000 visible)
[2021-03-16 23:34:27] Found 4850 unlabelled features.
[2021-03-16 23:34:27] Showing labelled: True (175/5000 visible)
[2021-03-16 23:34:27] Training mlp across 175 data points in blobs...
[2021-03-16 23:34:32] Training accuracy: 0.9441
[2021-03-16 23:34:32] Testing on 5000 data points...
[2021-03-16 23:34:32] Test accuracy: 0.8968
[2021-03-16 23:34:32] Score for 175 labels: 0.8968
[2021-03-16 23:34:32] Showing labelled: False (4825/5000 visible)
[2021-03-16 23:34:32] Found 4825 unlabelled features.
[2021-03-16 23:34:33] Showing labelled: True (200/5000 visible)
[2021-03-16 23:34:33] Training mlp across 200 data points in blobs...
[2021-03-16 23:34:38] Training accuracy: 0.9462
[2021-03-16 23:34:38] Testing on 5000 data points...
[2021-03-16 23:34:38] Test accuracy: 0.8990
[2021-03-16 23:34:38] Score for 200 labels: 0.8990
[2021-03-16 23:34:38] Showing labelled: False (4800/5000 visible)
[2021-03-16 23:34:38] Found 4800 unlabelled features.
[2021-03-16 23:34:39] Showing labelled: True (225/5000 visible)
[2021-03-16 23:34:39] Training mlp across 225 data points in blobs...
[2021-03-16 23:34:45] Training accuracy: 0.9533
[2021-03-16 23:34:45] Testing on 5000 data points...
[2021-03-16 23:34:45] Test accuracy: 0.8904
[2021-03-16 23:34:45] Score for 225 labels: 0.8904
[2021-03-16 23:34:45] Showing labelled: False (4775/5000 visible)
[2021-03-16 23:34:45] Found 4775 unlabelled features.
[2021-03-16 23:34:46] Showing labelled: True (250/5000 visible)
[2021-03-16 23:34:46] Training mlp across 250 data points in blobs...
[2021-03-16 23:34:52] Training accuracy: 0.9595
[2021-03-16 23:34:52] Testing on 5000 data points...
[2021-03-16 23:34:52] Test accuracy: 0.8972
[2021-03-16 23:34:52] Score for 250 labels: 0.8972
[2021-03-16 23:34:52] Showing labelled: False (4750/5000 visible)
[2021-03-16 23:34:52] Found 4750 unlabelled features.
[2021-03-16 23:34:53] Showing labelled: True (275/5000 visible)
[2021-03-16 23:34:53] Training mlp across 275 data points in blobs...
[2021-03-16 23:35:01] Training accuracy: 0.9616
[2021-03-16 23:35:01] Testing on 5000 data points...
[2021-03-16 23:35:01] Test accuracy: 0.8964
[2021-03-16 23:35:01] Score for 275 labels: 0.8964
[2021-03-16 23:35:01] Showing labelled: False (4725/5000 visible)
[2021-03-16 23:35:01] Found 4725 unlabelled features.
[2021-03-16 23:35:01] Showing labelled: True (300/5000 visible)
[2021-03-16 23:35:01] Training mlp across 300 data points in blobs...
[2021-03-16 23:35:09] Training accuracy: 0.9657
[2021-03-16 23:35:09] Testing on 5000 data points...
[2021-03-16 23:35:09] Test accuracy: 0.9036
[2021-03-16 23:35:09] Score for 300 labels: 0.9036
[2021-03-16 23:35:09] Running: experiment 1
[2021-03-16 23:35:09] Showing labelled: True (50/5000 visible)
[2021-03-16 23:35:09] mlp: initialized 1482 parameters.
[2021-03-16 23:35:09] Creating trainer with model on device: cuda
[2021-03-16 23:35:09] Training mlp across 50 data points in blobs...
[2021-03-16 23:35:11] Training accuracy: 0.8372
[2021-03-16 23:35:11] Testing on 5000 data points...
[2021-03-16 23:35:11] Test accuracy: 0.6004
[2021-03-16 23:35:11] Score for 50 labels: 0.6004
[2021-03-16 23:35:11] Showing labelled: False (4950/5000 visible)
[2021-03-16 23:35:11] Found 4950 unlabelled features.
[2021-03-16 23:35:11] Showing labelled: True (75/5000 visible)
[2021-03-16 23:35:11] Training mlp across 75 data points in blobs...
[2021-03-16 23:35:13] Training accuracy: 0.8894
[2021-03-16 23:35:13] Testing on 5000 data points...
[2021-03-16 23:35:13] Test accuracy: 0.8720
[2021-03-16 23:35:13] Score for 75 labels: 0.8720
[2021-03-16 23:35:13] Showing labelled: False (4925/5000 visible)
[2021-03-16 23:35:13] Found 4925 unlabelled features.
[2021-03-16 23:35:13] Showing labelled: True (100/5000 visible)
[2021-03-16 23:35:13] Training mlp across 100 data points in blobs...
[2021-03-16 23:35:16] Training accuracy: 0.9407
[2021-03-16 23:35:16] Testing on 5000 data points...
[2021-03-16 23:35:16] Test accuracy: 0.8826
[2021-03-16 23:35:16] Score for 100 labels: 0.8826
[2021-03-16 23:35:16] Showing labelled: False (4900/5000 visible)
[2021-03-16 23:35:16] Found 4900 unlabelled features.
[2021-03-16 23:35:16] Showing labelled: True (125/5000 visible)
[2021-03-16 23:35:16] Training mlp across 125 data points in blobs...
[2021-03-16 23:35:20] Training accuracy: 0.9539
[2021-03-16 23:35:20] Testing on 5000 data points...
[2021-03-16 23:35:20] Test accuracy: 0.8766
[2021-03-16 23:35:20] Score for 125 labels: 0.8766
[2021-03-16 23:35:20] Showing labelled: False (4875/5000 visible)
[2021-03-16 23:35:20] Found 4875 unlabelled features.
[2021-03-16 23:35:20] Showing labelled: True (150/5000 visible)
[2021-03-16 23:35:20] Training mlp across 150 data points in blobs...
[2021-03-16 23:35:24] Training accuracy: 0.9537
[2021-03-16 23:35:24] Testing on 5000 data points...
[2021-03-16 23:35:24] Test accuracy: 0.8920
[2021-03-16 23:35:24] Score for 150 labels: 0.8920
[2021-03-16 23:35:24] Showing labelled: False (4850/5000 visible)
[2021-03-16 23:35:24] Found 4850 unlabelled features.
[2021-03-16 23:35:24] Showing labelled: True (175/5000 visible)
[2021-03-16 23:35:24] Training mlp across 175 data points in blobs...
[2021-03-16 23:35:29] Training accuracy: 0.9573
[2021-03-16 23:35:29] Testing on 5000 data points...
[2021-03-16 23:35:29] Test accuracy: 0.8880
[2021-03-16 23:35:29] Score for 175 labels: 0.8880
[2021-03-16 23:35:29] Showing labelled: False (4825/5000 visible)
[2021-03-16 23:35:29] Found 4825 unlabelled features.
[2021-03-16 23:35:29] Showing labelled: True (200/5000 visible)
[2021-03-16 23:35:29] Training mlp across 200 data points in blobs...
[2021-03-16 23:35:34] Training accuracy: 0.9634
[2021-03-16 23:35:34] Testing on 5000 data points...
[2021-03-16 23:35:34] Test accuracy: 0.8774
[2021-03-16 23:35:34] Score for 200 labels: 0.8774
[2021-03-16 23:35:34] Showing labelled: False (4800/5000 visible)
[2021-03-16 23:35:34] Found 4800 unlabelled features.
[2021-03-16 23:35:35] Showing labelled: True (225/5000 visible)
[2021-03-16 23:35:35] Training mlp across 225 data points in blobs...
[2021-03-16 23:35:41] Training accuracy: 0.9629
[2021-03-16 23:35:41] Testing on 5000 data points...
[2021-03-16 23:35:41] Test accuracy: 0.8686
[2021-03-16 23:35:41] Score for 225 labels: 0.8686
[2021-03-16 23:35:41] Showing labelled: False (4775/5000 visible)
[2021-03-16 23:35:41] Found 4775 unlabelled features.
[2021-03-16 23:35:41] Showing labelled: True (250/5000 visible)
[2021-03-16 23:35:41] Training mlp across 250 data points in blobs...
[2021-03-16 23:35:48] Training accuracy: 0.9631
[2021-03-16 23:35:48] Testing on 5000 data points...
[2021-03-16 23:35:49] Test accuracy: 0.8722
[2021-03-16 23:35:49] Score for 250 labels: 0.8722
[2021-03-16 23:35:49] Showing labelled: False (4750/5000 visible)
[2021-03-16 23:35:49] Found 4750 unlabelled features.
[2021-03-16 23:35:49] Showing labelled: True (275/5000 visible)
[2021-03-16 23:35:49] Training mlp across 275 data points in blobs...
[2021-03-16 23:35:57] Training accuracy: 0.9652
[2021-03-16 23:35:57] Testing on 5000 data points...
[2021-03-16 23:35:57] Test accuracy: 0.8766
[2021-03-16 23:35:57] Score for 275 labels: 0.8766
[2021-03-16 23:35:57] Showing labelled: False (4725/5000 visible)
[2021-03-16 23:35:57] Found 4725 unlabelled features.
[2021-03-16 23:35:57] Showing labelled: True (300/5000 visible)
[2021-03-16 23:35:57] Training mlp across 300 data points in blobs...
[2021-03-16 23:36:05] Training accuracy: 0.9625
[2021-03-16 23:36:05] Testing on 5000 data points...
[2021-03-16 23:36:05] Test accuracy: 0.8750
[2021-03-16 23:36:05] Score for 300 labels: 0.8750
[2021-03-16 23:36:05] Running: experiment 2
[2021-03-16 23:36:05] Showing labelled: True (50/5000 visible)
[2021-03-16 23:36:05] mlp: initialized 1482 parameters.
[2021-03-16 23:36:05] Creating trainer with model on device: cuda
[2021-03-16 23:36:05] Training mlp across 50 data points in blobs...
[2021-03-16 23:36:06] Training accuracy: 0.8568
[2021-03-16 23:36:06] Testing on 5000 data points...
[2021-03-16 23:36:06] Test accuracy: 0.5876
[2021-03-16 23:36:06] Score for 50 labels: 0.5876
[2021-03-16 23:36:06] Showing labelled: False (4950/5000 visible)
[2021-03-16 23:36:06] Found 4950 unlabelled features.
[2021-03-16 23:36:06] Showing labelled: True (75/5000 visible)
[2021-03-16 23:36:06] Training mlp across 75 data points in blobs...
[2021-03-16 23:36:09] Training accuracy: 0.9173
[2021-03-16 23:36:09] Testing on 5000 data points...
[2021-03-16 23:36:09] Test accuracy: 0.7386
[2021-03-16 23:36:09] Score for 75 labels: 0.7386
[2021-03-16 23:36:09] Showing labelled: False (4925/5000 visible)
[2021-03-16 23:36:09] Found 4925 unlabelled features.
[2021-03-16 23:36:09] Showing labelled: True (100/5000 visible)
[2021-03-16 23:36:09] Training mlp across 100 data points in blobs...
[2021-03-16 23:36:13] Training accuracy: 0.9098
[2021-03-16 23:36:13] Testing on 5000 data points...
[2021-03-16 23:36:13] Test accuracy: 0.8514
[2021-03-16 23:36:13] Score for 100 labels: 0.8514
[2021-03-16 23:36:13] Showing labelled: False (4900/5000 visible)
[2021-03-16 23:36:13] Found 4900 unlabelled features.
[2021-03-16 23:36:13] Showing labelled: True (125/5000 visible)
[2021-03-16 23:36:13] Training mlp across 125 data points in blobs...
[2021-03-16 23:36:17] Training accuracy: 0.9133
[2021-03-16 23:36:17] Testing on 5000 data points...
[2021-03-16 23:36:17] Test accuracy: 0.8694
[2021-03-16 23:36:17] Score for 125 labels: 0.8694
[2021-03-16 23:36:17] Showing labelled: False (4875/5000 visible)
[2021-03-16 23:36:17] Found 4875 unlabelled features.
[2021-03-16 23:36:17] Showing labelled: True (150/5000 visible)
[2021-03-16 23:36:17] Training mlp across 150 data points in blobs...
[2021-03-16 23:36:21] Training accuracy: 0.9178
[2021-03-16 23:36:21] Testing on 5000 data points...
[2021-03-16 23:36:21] Test accuracy: 0.8766
[2021-03-16 23:36:21] Score for 150 labels: 0.8766
[2021-03-16 23:36:21] Showing labelled: False (4850/5000 visible)
[2021-03-16 23:36:21] Found 4850 unlabelled features.
[2021-03-16 23:36:21] Showing labelled: True (175/5000 visible)
[2021-03-16 23:36:21] Training mlp across 175 data points in blobs...
[2021-03-16 23:36:26] Training accuracy: 0.9234
[2021-03-16 23:36:26] Testing on 5000 data points...
[2021-03-16 23:36:26] Test accuracy: 0.8744
[2021-03-16 23:36:26] Score for 175 labels: 0.8744
[2021-03-16 23:36:26] Showing labelled: False (4825/5000 visible)
[2021-03-16 23:36:26] Found 4825 unlabelled features.
[2021-03-16 23:36:26] Showing labelled: True (200/5000 visible)
[2021-03-16 23:36:26] Training mlp across 200 data points in blobs...
[2021-03-16 23:36:32] Training accuracy: 0.9245
[2021-03-16 23:36:32] Testing on 5000 data points...
[2021-03-16 23:36:32] Test accuracy: 0.8826
[2021-03-16 23:36:32] Score for 200 labels: 0.8826
[2021-03-16 23:36:32] Showing labelled: False (4800/5000 visible)
[2021-03-16 23:36:32] Found 4800 unlabelled features.
[2021-03-16 23:36:32] Showing labelled: True (225/5000 visible)
[2021-03-16 23:36:32] Training mlp across 225 data points in blobs...
[2021-03-16 23:36:38] Training accuracy: 0.9269
[2021-03-16 23:36:38] Testing on 5000 data points...
[2021-03-16 23:36:38] Test accuracy: 0.8948
[2021-03-16 23:36:38] Score for 225 labels: 0.8948
[2021-03-16 23:36:38] Showing labelled: False (4775/5000 visible)
[2021-03-16 23:36:38] Found 4775 unlabelled features.
[2021-03-16 23:36:38] Showing labelled: True (250/5000 visible)
[2021-03-16 23:36:38] Training mlp across 250 data points in blobs...
[2021-03-16 23:36:45] Training accuracy: 0.9216
[2021-03-16 23:36:45] Testing on 5000 data points...
[2021-03-16 23:36:45] Test accuracy: 0.8980
[2021-03-16 23:36:45] Score for 250 labels: 0.8980
[2021-03-16 23:36:45] Showing labelled: False (4750/5000 visible)
[2021-03-16 23:36:45] Found 4750 unlabelled features.
[2021-03-16 23:36:45] Showing labelled: True (275/5000 visible)
[2021-03-16 23:36:45] Training mlp across 275 data points in blobs...
[2021-03-16 23:36:52] Training accuracy: 0.9279
[2021-03-16 23:36:52] Testing on 5000 data points...
[2021-03-16 23:36:52] Test accuracy: 0.8998
[2021-03-16 23:36:52] Score for 275 labels: 0.8998
[2021-03-16 23:36:52] Showing labelled: False (4725/5000 visible)
[2021-03-16 23:36:52] Found 4725 unlabelled features.
[2021-03-16 23:36:52] Showing labelled: True (300/5000 visible)
[2021-03-16 23:36:52] Training mlp across 300 data points in blobs...
[2021-03-16 23:37:00] Training accuracy: 0.9335
[2021-03-16 23:37:00] Testing on 5000 data points...
[2021-03-16 23:37:00] Test accuracy: 0.9008
[2021-03-16 23:37:00] Score for 300 labels: 0.9008
[2021-03-16 23:37:00] Updated results: ../results/blobs/lc_beam_coreset_crossentropy/results.json
