[2021-03-16 23:11:44] Seeded: 5
[2021-03-16 23:11:44] Created experiment 0:
[2021-03-16 23:11:44]  - Model: mlp
[2021-03-16 23:11:44]  - Acquisition function: lc-beam-coreset
[2021-03-16 23:11:44] Created experiment 1:
[2021-03-16 23:11:44]  - Model: mlp
[2021-03-16 23:11:44]  - Acquisition function: greedy-coreset
[2021-03-16 23:11:44] Created experiment 2:
[2021-03-16 23:11:44]  - Model: mlp
[2021-03-16 23:11:44]  - Acquisition function: random
[2021-03-16 23:11:44] Loading blobs test set...
[2021-03-16 23:11:44] Generated 5000 blobs:
[2021-03-16 23:11:44] Class 0: 200
[2021-03-16 23:11:44] Class 1: 300
[2021-03-16 23:11:44] Class 2: 1000
[2021-03-16 23:11:44] Class 3: 100
[2021-03-16 23:11:44] Class 4: 50
[2021-03-16 23:11:44] Class 5: 200
[2021-03-16 23:11:44] Class 6: 400
[2021-03-16 23:11:44] Class 7: 1800
[2021-03-16 23:11:44] Class 8: 50
[2021-03-16 23:11:44] Class 9: 900
[2021-03-16 23:11:44] Saved figure to: ../data/blobs_data.png
[2021-03-16 23:11:44] Generated 5000 test points.
[2021-03-16 23:11:45] Saved figure to: ../data/blobs_test.png
[2021-03-16 23:11:45] Experiment repeat 1/4
[2021-03-16 23:11:45] Randomly labelled 50/5000
[2021-03-16 23:11:45] Showing labelled: True (50/5000 visible)
[2021-03-16 23:11:45] Running: experiment 0
[2021-03-16 23:11:45] Showing labelled: True (50/5000 visible)
[2021-03-16 23:11:45] mlp: initialized 1482 parameters.
[2021-03-16 23:11:45] Creating trainer with model on device: cuda
[2021-03-16 23:11:49] Training mlp across 50 data points in blobs...
[2021-03-16 23:11:51] Training accuracy: 0.2735
[2021-03-16 23:11:51] Testing on 5000 data points...
[2021-03-16 23:11:51] Test accuracy: 0.2988
[2021-03-16 23:11:51] Score for 50 labels: 0.2988
[2021-03-16 23:11:51] Showing labelled: False (4950/5000 visible)
[2021-03-16 23:11:51] Found 4950 unlabelled features.
[2021-03-16 23:11:51] Showing labelled: True (75/5000 visible)
[2021-03-16 23:11:51] Training mlp across 75 data points in blobs...
[2021-03-16 23:11:54] Training accuracy: 0.5006
[2021-03-16 23:11:54] Testing on 5000 data points...
[2021-03-16 23:11:54] Test accuracy: 0.5668
[2021-03-16 23:11:54] Score for 75 labels: 0.5668
[2021-03-16 23:11:54] Showing labelled: False (4925/5000 visible)
[2021-03-16 23:11:54] Found 4925 unlabelled features.
[2021-03-16 23:11:55] Showing labelled: True (100/5000 visible)
[2021-03-16 23:11:55] Training mlp across 100 data points in blobs...
[2021-03-16 23:11:57] Training accuracy: 0.7702
[2021-03-16 23:11:57] Testing on 5000 data points...
[2021-03-16 23:11:57] Test accuracy: 0.8052
[2021-03-16 23:11:57] Score for 100 labels: 0.8052
[2021-03-16 23:11:57] Showing labelled: False (4900/5000 visible)
[2021-03-16 23:11:57] Found 4900 unlabelled features.
[2021-03-16 23:11:58] Showing labelled: True (125/5000 visible)
[2021-03-16 23:11:58] Training mlp across 125 data points in blobs...
[2021-03-16 23:12:02] Training accuracy: 0.8386
[2021-03-16 23:12:02] Testing on 5000 data points...
[2021-03-16 23:12:02] Test accuracy: 0.8176
[2021-03-16 23:12:02] Score for 125 labels: 0.8176
[2021-03-16 23:12:02] Showing labelled: False (4875/5000 visible)
[2021-03-16 23:12:02] Found 4875 unlabelled features.
[2021-03-16 23:12:02] Showing labelled: True (150/5000 visible)
[2021-03-16 23:12:02] Training mlp across 150 data points in blobs...
[2021-03-16 23:12:07] Training accuracy: 0.8657
[2021-03-16 23:12:07] Testing on 5000 data points...
[2021-03-16 23:12:07] Test accuracy: 0.8310
[2021-03-16 23:12:07] Score for 150 labels: 0.8310
[2021-03-16 23:12:07] Showing labelled: False (4850/5000 visible)
[2021-03-16 23:12:07] Found 4850 unlabelled features.
[2021-03-16 23:12:07] Showing labelled: True (175/5000 visible)
[2021-03-16 23:12:07] Training mlp across 175 data points in blobs...
[2021-03-16 23:12:13] Training accuracy: 0.8708
[2021-03-16 23:12:13] Testing on 5000 data points...
[2021-03-16 23:12:13] Test accuracy: 0.8432
[2021-03-16 23:12:13] Score for 175 labels: 0.8432
[2021-03-16 23:12:13] Showing labelled: False (4825/5000 visible)
[2021-03-16 23:12:13] Found 4825 unlabelled features.
[2021-03-16 23:12:13] Showing labelled: True (200/5000 visible)
[2021-03-16 23:12:13] Training mlp across 200 data points in blobs...
[2021-03-16 23:12:19] Training accuracy: 0.8834
[2021-03-16 23:12:19] Testing on 5000 data points...
[2021-03-16 23:12:19] Test accuracy: 0.8498
[2021-03-16 23:12:19] Score for 200 labels: 0.8498
[2021-03-16 23:12:19] Showing labelled: False (4800/5000 visible)
[2021-03-16 23:12:19] Found 4800 unlabelled features.
[2021-03-16 23:12:19] Showing labelled: True (225/5000 visible)
[2021-03-16 23:12:19] Training mlp across 225 data points in blobs...
[2021-03-16 23:12:26] Training accuracy: 0.8852
[2021-03-16 23:12:26] Testing on 5000 data points...
[2021-03-16 23:12:26] Test accuracy: 0.8536
[2021-03-16 23:12:26] Score for 225 labels: 0.8536
[2021-03-16 23:12:26] Showing labelled: False (4775/5000 visible)
[2021-03-16 23:12:26] Found 4775 unlabelled features.
[2021-03-16 23:12:27] Showing labelled: True (250/5000 visible)
[2021-03-16 23:12:27] Training mlp across 250 data points in blobs...
[2021-03-16 23:12:34] Training accuracy: 0.8920
[2021-03-16 23:12:34] Testing on 5000 data points...
[2021-03-16 23:12:34] Test accuracy: 0.8572
[2021-03-16 23:12:34] Score for 250 labels: 0.8572
[2021-03-16 23:12:34] Showing labelled: False (4750/5000 visible)
[2021-03-16 23:12:34] Found 4750 unlabelled features.
[2021-03-16 23:12:34] Showing labelled: True (275/5000 visible)
[2021-03-16 23:12:34] Training mlp across 275 data points in blobs...
[2021-03-16 23:12:43] Training accuracy: 0.8950
[2021-03-16 23:12:43] Testing on 5000 data points...
[2021-03-16 23:12:43] Test accuracy: 0.8588
[2021-03-16 23:12:43] Score for 275 labels: 0.8588
[2021-03-16 23:12:43] Showing labelled: False (4725/5000 visible)
[2021-03-16 23:12:43] Found 4725 unlabelled features.
[2021-03-16 23:12:43] Showing labelled: True (300/5000 visible)
[2021-03-16 23:12:43] Training mlp across 300 data points in blobs...
[2021-03-16 23:12:52] Training accuracy: 0.8942
[2021-03-16 23:12:52] Testing on 5000 data points...
[2021-03-16 23:12:52] Test accuracy: 0.8602
[2021-03-16 23:12:52] Score for 300 labels: 0.8602
[2021-03-16 23:12:52] Running: experiment 1
[2021-03-16 23:12:52] Showing labelled: True (50/5000 visible)
[2021-03-16 23:12:52] mlp: initialized 1482 parameters.
[2021-03-16 23:12:52] Creating trainer with model on device: cuda
[2021-03-16 23:12:52] Training mlp across 50 data points in blobs...
[2021-03-16 23:12:54] Training accuracy: 0.4340
[2021-03-16 23:12:54] Testing on 5000 data points...
[2021-03-16 23:12:54] Test accuracy: 0.4526
[2021-03-16 23:12:54] Score for 50 labels: 0.4526
[2021-03-16 23:12:54] Showing labelled: False (4950/5000 visible)
[2021-03-16 23:12:54] Found 4950 unlabelled features.
[2021-03-16 23:12:54] Showing labelled: True (75/5000 visible)
[2021-03-16 23:12:54] Training mlp across 75 data points in blobs...
[2021-03-16 23:12:56] Training accuracy: 0.7269
[2021-03-16 23:12:56] Testing on 5000 data points...
[2021-03-16 23:12:56] Test accuracy: 0.7420
[2021-03-16 23:12:56] Score for 75 labels: 0.7420
[2021-03-16 23:12:56] Showing labelled: False (4925/5000 visible)
[2021-03-16 23:12:56] Found 4925 unlabelled features.
[2021-03-16 23:12:57] Showing labelled: True (100/5000 visible)
[2021-03-16 23:12:57] Training mlp across 100 data points in blobs...
[2021-03-16 23:12:59] Training accuracy: 0.7983
[2021-03-16 23:12:59] Testing on 5000 data points...
[2021-03-16 23:12:59] Test accuracy: 0.7720
[2021-03-16 23:12:59] Score for 100 labels: 0.7720
[2021-03-16 23:12:59] Showing labelled: False (4900/5000 visible)
[2021-03-16 23:12:59] Found 4900 unlabelled features.
[2021-03-16 23:12:59] Showing labelled: True (125/5000 visible)
[2021-03-16 23:12:59] Training mlp across 125 data points in blobs...
[2021-03-16 23:13:04] Training accuracy: 0.8297
[2021-03-16 23:13:04] Testing on 5000 data points...
[2021-03-16 23:13:04] Test accuracy: 0.7932
[2021-03-16 23:13:04] Score for 125 labels: 0.7932
[2021-03-16 23:13:04] Showing labelled: False (4875/5000 visible)
[2021-03-16 23:13:04] Found 4875 unlabelled features.
[2021-03-16 23:13:04] Showing labelled: True (150/5000 visible)
[2021-03-16 23:13:04] Training mlp across 150 data points in blobs...
[2021-03-16 23:13:08] Training accuracy: 0.8607
[2021-03-16 23:13:08] Testing on 5000 data points...
[2021-03-16 23:13:08] Test accuracy: 0.8294
[2021-03-16 23:13:08] Score for 150 labels: 0.8294
[2021-03-16 23:13:08] Showing labelled: False (4850/5000 visible)
[2021-03-16 23:13:08] Found 4850 unlabelled features.
[2021-03-16 23:13:08] Showing labelled: True (175/5000 visible)
[2021-03-16 23:13:08] Training mlp across 175 data points in blobs...
[2021-03-16 23:13:14] Training accuracy: 0.8668
[2021-03-16 23:13:14] Testing on 5000 data points...
[2021-03-16 23:13:14] Test accuracy: 0.8332
[2021-03-16 23:13:14] Score for 175 labels: 0.8332
[2021-03-16 23:13:14] Showing labelled: False (4825/5000 visible)
[2021-03-16 23:13:14] Found 4825 unlabelled features.
[2021-03-16 23:13:14] Showing labelled: True (200/5000 visible)
[2021-03-16 23:13:14] Training mlp across 200 data points in blobs...
[2021-03-16 23:13:21] Training accuracy: 0.8646
[2021-03-16 23:13:21] Testing on 5000 data points...
[2021-03-16 23:13:21] Test accuracy: 0.8418
[2021-03-16 23:13:21] Score for 200 labels: 0.8418
[2021-03-16 23:13:21] Showing labelled: False (4800/5000 visible)
[2021-03-16 23:13:21] Found 4800 unlabelled features.
[2021-03-16 23:13:21] Showing labelled: True (225/5000 visible)
[2021-03-16 23:13:21] Training mlp across 225 data points in blobs...
[2021-03-16 23:13:29] Training accuracy: 0.8728
[2021-03-16 23:13:29] Testing on 5000 data points...
[2021-03-16 23:13:29] Test accuracy: 0.8436
[2021-03-16 23:13:29] Score for 225 labels: 0.8436
[2021-03-16 23:13:29] Showing labelled: False (4775/5000 visible)
[2021-03-16 23:13:29] Found 4775 unlabelled features.
[2021-03-16 23:13:29] Showing labelled: True (250/5000 visible)
[2021-03-16 23:13:29] Training mlp across 250 data points in blobs...
[2021-03-16 23:13:38] Training accuracy: 0.8946
[2021-03-16 23:13:38] Testing on 5000 data points...
[2021-03-16 23:13:38] Test accuracy: 0.8506
[2021-03-16 23:13:38] Score for 250 labels: 0.8506
[2021-03-16 23:13:38] Showing labelled: False (4750/5000 visible)
[2021-03-16 23:13:38] Found 4750 unlabelled features.
[2021-03-16 23:13:38] Showing labelled: True (275/5000 visible)
[2021-03-16 23:13:38] Training mlp across 275 data points in blobs...
[2021-03-16 23:13:46] Training accuracy: 0.9010
[2021-03-16 23:13:46] Testing on 5000 data points...
[2021-03-16 23:13:46] Test accuracy: 0.8586
[2021-03-16 23:13:46] Score for 275 labels: 0.8586
[2021-03-16 23:13:46] Showing labelled: False (4725/5000 visible)
[2021-03-16 23:13:46] Found 4725 unlabelled features.
[2021-03-16 23:13:46] Showing labelled: True (300/5000 visible)
[2021-03-16 23:13:46] Training mlp across 300 data points in blobs...
[2021-03-16 23:13:55] Training accuracy: 0.9068
[2021-03-16 23:13:55] Testing on 5000 data points...
[2021-03-16 23:13:55] Test accuracy: 0.8564
[2021-03-16 23:13:55] Score for 300 labels: 0.8564
[2021-03-16 23:13:55] Running: experiment 2
[2021-03-16 23:13:55] Showing labelled: True (50/5000 visible)
[2021-03-16 23:13:55] mlp: initialized 1482 parameters.
[2021-03-16 23:13:55] Creating trainer with model on device: cuda
[2021-03-16 23:13:55] Training mlp across 50 data points in blobs...
[2021-03-16 23:13:56] Training accuracy: 0.4147
[2021-03-16 23:13:56] Testing on 5000 data points...
[2021-03-16 23:13:56] Test accuracy: 0.4474
[2021-03-16 23:13:56] Score for 50 labels: 0.4474
[2021-03-16 23:13:56] Showing labelled: False (4950/5000 visible)
[2021-03-16 23:13:56] Found 4950 unlabelled features.
[2021-03-16 23:13:56] Showing labelled: True (75/5000 visible)
[2021-03-16 23:13:56] Training mlp across 75 data points in blobs...
[2021-03-16 23:13:59] Training accuracy: 0.7406
[2021-03-16 23:13:59] Testing on 5000 data points...
[2021-03-16 23:13:59] Test accuracy: 0.4756
[2021-03-16 23:13:59] Score for 75 labels: 0.4756
[2021-03-16 23:13:59] Showing labelled: False (4925/5000 visible)
[2021-03-16 23:13:59] Found 4925 unlabelled features.
[2021-03-16 23:13:59] Showing labelled: True (100/5000 visible)
[2021-03-16 23:13:59] Training mlp across 100 data points in blobs...
[2021-03-16 23:14:02] Training accuracy: 0.7857
[2021-03-16 23:14:02] Testing on 5000 data points...
[2021-03-16 23:14:02] Test accuracy: 0.5818
[2021-03-16 23:14:02] Score for 100 labels: 0.5818
[2021-03-16 23:14:02] Showing labelled: False (4900/5000 visible)
[2021-03-16 23:14:02] Found 4900 unlabelled features.
[2021-03-16 23:14:02] Showing labelled: True (125/5000 visible)
[2021-03-16 23:14:02] Training mlp across 125 data points in blobs...
[2021-03-16 23:14:06] Training accuracy: 0.8175
[2021-03-16 23:14:06] Testing on 5000 data points...
[2021-03-16 23:14:06] Test accuracy: 0.5888
[2021-03-16 23:14:06] Score for 125 labels: 0.5888
[2021-03-16 23:14:06] Showing labelled: False (4875/5000 visible)
[2021-03-16 23:14:06] Found 4875 unlabelled features.
[2021-03-16 23:14:06] Showing labelled: True (150/5000 visible)
[2021-03-16 23:14:06] Training mlp across 150 data points in blobs...
[2021-03-16 23:14:10] Training accuracy: 0.8398
[2021-03-16 23:14:10] Testing on 5000 data points...
[2021-03-16 23:14:11] Test accuracy: 0.6138
[2021-03-16 23:14:11] Score for 150 labels: 0.6138
[2021-03-16 23:14:11] Showing labelled: False (4850/5000 visible)
[2021-03-16 23:14:11] Found 4850 unlabelled features.
[2021-03-16 23:14:11] Showing labelled: True (175/5000 visible)
[2021-03-16 23:14:11] Training mlp across 175 data points in blobs...
[2021-03-16 23:14:17] Training accuracy: 0.8611
[2021-03-16 23:14:17] Testing on 5000 data points...
[2021-03-16 23:14:17] Test accuracy: 0.6190
[2021-03-16 23:14:17] Score for 175 labels: 0.6190
[2021-03-16 23:14:17] Showing labelled: False (4825/5000 visible)
[2021-03-16 23:14:17] Found 4825 unlabelled features.
[2021-03-16 23:14:17] Showing labelled: True (200/5000 visible)
[2021-03-16 23:14:17] Training mlp across 200 data points in blobs...
[2021-03-16 23:14:23] Training accuracy: 0.8766
[2021-03-16 23:14:23] Testing on 5000 data points...
[2021-03-16 23:14:24] Test accuracy: 0.6300
[2021-03-16 23:14:24] Score for 200 labels: 0.6300
[2021-03-16 23:14:24] Showing labelled: False (4800/5000 visible)
[2021-03-16 23:14:24] Found 4800 unlabelled features.
[2021-03-16 23:14:24] Showing labelled: True (225/5000 visible)
[2021-03-16 23:14:24] Training mlp across 225 data points in blobs...
[2021-03-16 23:14:30] Training accuracy: 0.8919
[2021-03-16 23:14:30] Testing on 5000 data points...
[2021-03-16 23:14:30] Test accuracy: 0.6668
[2021-03-16 23:14:30] Score for 225 labels: 0.6668
[2021-03-16 23:14:30] Showing labelled: False (4775/5000 visible)
[2021-03-16 23:14:30] Found 4775 unlabelled features.
[2021-03-16 23:14:30] Showing labelled: True (250/5000 visible)
[2021-03-16 23:14:30] Training mlp across 250 data points in blobs...
[2021-03-16 23:14:37] Training accuracy: 0.8991
[2021-03-16 23:14:37] Testing on 5000 data points...
[2021-03-16 23:14:38] Test accuracy: 0.6890
[2021-03-16 23:14:38] Score for 250 labels: 0.6890
[2021-03-16 23:14:38] Showing labelled: False (4750/5000 visible)
[2021-03-16 23:14:38] Found 4750 unlabelled features.
[2021-03-16 23:14:38] Showing labelled: True (275/5000 visible)
[2021-03-16 23:14:38] Training mlp across 275 data points in blobs...
[2021-03-16 23:14:46] Training accuracy: 0.8989
[2021-03-16 23:14:46] Testing on 5000 data points...
[2021-03-16 23:14:46] Test accuracy: 0.6966
[2021-03-16 23:14:46] Score for 275 labels: 0.6966
[2021-03-16 23:14:46] Showing labelled: False (4725/5000 visible)
[2021-03-16 23:14:46] Found 4725 unlabelled features.
[2021-03-16 23:14:46] Showing labelled: True (300/5000 visible)
[2021-03-16 23:14:46] Training mlp across 300 data points in blobs...
[2021-03-16 23:14:55] Training accuracy: 0.8985
[2021-03-16 23:14:55] Testing on 5000 data points...
[2021-03-16 23:14:55] Test accuracy: 0.7034
[2021-03-16 23:14:55] Score for 300 labels: 0.7034
[2021-03-16 23:14:55] Experiment repeat 2/4
[2021-03-16 23:14:55] Randomly labelled 50/5000
[2021-03-16 23:14:55] Showing labelled: True (50/5000 visible)
[2021-03-16 23:14:55] Running: experiment 0
[2021-03-16 23:14:55] Showing labelled: True (50/5000 visible)
[2021-03-16 23:14:55] mlp: initialized 1482 parameters.
[2021-03-16 23:14:55] Creating trainer with model on device: cuda
[2021-03-16 23:14:55] Training mlp across 50 data points in blobs...
[2021-03-16 23:14:57] Training accuracy: 0.5703
[2021-03-16 23:14:57] Testing on 5000 data points...
[2021-03-16 23:14:57] Test accuracy: 0.3264
[2021-03-16 23:14:57] Score for 50 labels: 0.3264
[2021-03-16 23:14:57] Showing labelled: False (4950/5000 visible)
[2021-03-16 23:14:57] Found 4950 unlabelled features.
[2021-03-16 23:14:57] Showing labelled: True (75/5000 visible)
[2021-03-16 23:14:58] Training mlp across 75 data points in blobs...
[2021-03-16 23:15:00] Training accuracy: 0.6698
[2021-03-16 23:15:00] Testing on 5000 data points...
[2021-03-16 23:15:00] Test accuracy: 0.6840
[2021-03-16 23:15:00] Score for 75 labels: 0.6840
[2021-03-16 23:15:00] Showing labelled: False (4925/5000 visible)
[2021-03-16 23:15:00] Found 4925 unlabelled features.
[2021-03-16 23:15:01] Showing labelled: True (100/5000 visible)
[2021-03-16 23:15:01] Training mlp across 100 data points in blobs...
[2021-03-16 23:15:04] Training accuracy: 0.7559
[2021-03-16 23:15:04] Testing on 5000 data points...
[2021-03-16 23:15:04] Test accuracy: 0.7204
[2021-03-16 23:15:04] Score for 100 labels: 0.7204
[2021-03-16 23:15:04] Showing labelled: False (4900/5000 visible)
[2021-03-16 23:15:04] Found 4900 unlabelled features.
[2021-03-16 23:15:04] Showing labelled: True (125/5000 visible)
[2021-03-16 23:15:04] Training mlp across 125 data points in blobs...
[2021-03-16 23:15:08] Training accuracy: 0.7878
[2021-03-16 23:15:08] Testing on 5000 data points...
[2021-03-16 23:15:08] Test accuracy: 0.7968
[2021-03-16 23:15:08] Score for 125 labels: 0.7968
[2021-03-16 23:15:08] Showing labelled: False (4875/5000 visible)
[2021-03-16 23:15:08] Found 4875 unlabelled features.
[2021-03-16 23:15:09] Showing labelled: True (150/5000 visible)
[2021-03-16 23:15:09] Training mlp across 150 data points in blobs...
[2021-03-16 23:15:13] Training accuracy: 0.8019
[2021-03-16 23:15:13] Testing on 5000 data points...
[2021-03-16 23:15:13] Test accuracy: 0.8250
[2021-03-16 23:15:13] Score for 150 labels: 0.8250
[2021-03-16 23:15:13] Showing labelled: False (4850/5000 visible)
[2021-03-16 23:15:13] Found 4850 unlabelled features.
[2021-03-16 23:15:13] Showing labelled: True (175/5000 visible)
[2021-03-16 23:15:13] Training mlp across 175 data points in blobs...
[2021-03-16 23:15:19] Training accuracy: 0.8580
[2021-03-16 23:15:19] Testing on 5000 data points...
[2021-03-16 23:15:19] Test accuracy: 0.8434
[2021-03-16 23:15:19] Score for 175 labels: 0.8434
[2021-03-16 23:15:19] Showing labelled: False (4825/5000 visible)
[2021-03-16 23:15:19] Found 4825 unlabelled features.
[2021-03-16 23:15:20] Showing labelled: True (200/5000 visible)
[2021-03-16 23:15:20] Training mlp across 200 data points in blobs...
[2021-03-16 23:15:26] Training accuracy: 0.8814
[2021-03-16 23:15:26] Testing on 5000 data points...
[2021-03-16 23:15:26] Test accuracy: 0.8512
[2021-03-16 23:15:26] Score for 200 labels: 0.8512
[2021-03-16 23:15:26] Showing labelled: False (4800/5000 visible)
[2021-03-16 23:15:26] Found 4800 unlabelled features.
[2021-03-16 23:15:27] Showing labelled: True (225/5000 visible)
[2021-03-16 23:15:27] Training mlp across 225 data points in blobs...
[2021-03-16 23:15:34] Training accuracy: 0.8892
[2021-03-16 23:15:34] Testing on 5000 data points...
[2021-03-16 23:15:34] Test accuracy: 0.8534
[2021-03-16 23:15:34] Score for 225 labels: 0.8534
[2021-03-16 23:15:34] Showing labelled: False (4775/5000 visible)
[2021-03-16 23:15:34] Found 4775 unlabelled features.
[2021-03-16 23:15:34] Showing labelled: True (250/5000 visible)
[2021-03-16 23:15:34] Training mlp across 250 data points in blobs...
[2021-03-16 23:15:43] Training accuracy: 0.8934
[2021-03-16 23:15:43] Testing on 5000 data points...
[2021-03-16 23:15:43] Test accuracy: 0.8548
[2021-03-16 23:15:43] Score for 250 labels: 0.8548
[2021-03-16 23:15:43] Showing labelled: False (4750/5000 visible)
[2021-03-16 23:15:43] Found 4750 unlabelled features.
[2021-03-16 23:15:43] Showing labelled: True (275/5000 visible)
[2021-03-16 23:15:43] Training mlp across 275 data points in blobs...
[2021-03-16 23:15:51] Training accuracy: 0.8987
[2021-03-16 23:15:51] Testing on 5000 data points...
[2021-03-16 23:15:51] Test accuracy: 0.8564
[2021-03-16 23:15:51] Score for 275 labels: 0.8564
[2021-03-16 23:15:51] Showing labelled: False (4725/5000 visible)
[2021-03-16 23:15:51] Found 4725 unlabelled features.
[2021-03-16 23:15:52] Showing labelled: True (300/5000 visible)
[2021-03-16 23:15:52] Training mlp across 300 data points in blobs...
[2021-03-16 23:16:01] Training accuracy: 0.8925
[2021-03-16 23:16:01] Testing on 5000 data points...
[2021-03-16 23:16:01] Test accuracy: 0.8600
[2021-03-16 23:16:01] Score for 300 labels: 0.8600
[2021-03-16 23:16:01] Running: experiment 1
[2021-03-16 23:16:01] Showing labelled: True (50/5000 visible)
[2021-03-16 23:16:01] mlp: initialized 1482 parameters.
[2021-03-16 23:16:01] Creating trainer with model on device: cuda
[2021-03-16 23:16:01] Training mlp across 50 data points in blobs...
[2021-03-16 23:16:03] Training accuracy: 0.4714
[2021-03-16 23:16:03] Testing on 5000 data points...
[2021-03-16 23:16:03] Test accuracy: 0.2092
[2021-03-16 23:16:03] Score for 50 labels: 0.2092
[2021-03-16 23:16:03] Showing labelled: False (4950/5000 visible)
[2021-03-16 23:16:03] Found 4950 unlabelled features.
[2021-03-16 23:16:03] Showing labelled: True (75/5000 visible)
[2021-03-16 23:16:03] Training mlp across 75 data points in blobs...
[2021-03-16 23:16:06] Training accuracy: 0.6545
[2021-03-16 23:16:06] Testing on 5000 data points...
[2021-03-16 23:16:06] Test accuracy: 0.6594
[2021-03-16 23:16:06] Score for 75 labels: 0.6594
[2021-03-16 23:16:06] Showing labelled: False (4925/5000 visible)
[2021-03-16 23:16:06] Found 4925 unlabelled features.
[2021-03-16 23:16:06] Showing labelled: True (100/5000 visible)
[2021-03-16 23:16:06] Training mlp across 100 data points in blobs...
[2021-03-16 23:16:09] Training accuracy: 0.7450
[2021-03-16 23:16:09] Testing on 5000 data points...
[2021-03-16 23:16:10] Test accuracy: 0.7392
[2021-03-16 23:16:10] Score for 100 labels: 0.7392
[2021-03-16 23:16:10] Showing labelled: False (4900/5000 visible)
[2021-03-16 23:16:10] Found 4900 unlabelled features.
[2021-03-16 23:16:10] Showing labelled: True (125/5000 visible)
[2021-03-16 23:16:10] Training mlp across 125 data points in blobs...
[2021-03-16 23:16:14] Training accuracy: 0.7974
[2021-03-16 23:16:14] Testing on 5000 data points...
[2021-03-16 23:16:14] Test accuracy: 0.8076
[2021-03-16 23:16:14] Score for 125 labels: 0.8076
[2021-03-16 23:16:14] Showing labelled: False (4875/5000 visible)
[2021-03-16 23:16:14] Found 4875 unlabelled features.
[2021-03-16 23:16:14] Showing labelled: True (150/5000 visible)
[2021-03-16 23:16:14] Training mlp across 150 data points in blobs...
[2021-03-16 23:16:19] Training accuracy: 0.8076
[2021-03-16 23:16:19] Testing on 5000 data points...
[2021-03-16 23:16:19] Test accuracy: 0.8434
[2021-03-16 23:16:19] Score for 150 labels: 0.8434
[2021-03-16 23:16:19] Showing labelled: False (4850/5000 visible)
[2021-03-16 23:16:19] Found 4850 unlabelled features.
[2021-03-16 23:16:19] Showing labelled: True (175/5000 visible)
[2021-03-16 23:16:19] Training mlp across 175 data points in blobs...
[2021-03-16 23:16:25] Training accuracy: 0.8493
[2021-03-16 23:16:25] Testing on 5000 data points...
[2021-03-16 23:16:25] Test accuracy: 0.8420
[2021-03-16 23:16:25] Score for 175 labels: 0.8420
[2021-03-16 23:16:25] Showing labelled: False (4825/5000 visible)
[2021-03-16 23:16:25] Found 4825 unlabelled features.
[2021-03-16 23:16:25] Showing labelled: True (200/5000 visible)
[2021-03-16 23:16:25] Training mlp across 200 data points in blobs...
[2021-03-16 23:16:31] Training accuracy: 0.8577
[2021-03-16 23:16:31] Testing on 5000 data points...
[2021-03-16 23:16:31] Test accuracy: 0.8542
[2021-03-16 23:16:31] Score for 200 labels: 0.8542
[2021-03-16 23:16:31] Showing labelled: False (4800/5000 visible)
[2021-03-16 23:16:31] Found 4800 unlabelled features.
[2021-03-16 23:16:31] Showing labelled: True (225/5000 visible)
[2021-03-16 23:16:31] Training mlp across 225 data points in blobs...
[2021-03-16 23:16:39] Training accuracy: 0.8785
[2021-03-16 23:16:39] Testing on 5000 data points...
[2021-03-16 23:16:39] Test accuracy: 0.8556
[2021-03-16 23:16:39] Score for 225 labels: 0.8556
[2021-03-16 23:16:39] Showing labelled: False (4775/5000 visible)
[2021-03-16 23:16:39] Found 4775 unlabelled features.
[2021-03-16 23:16:39] Showing labelled: True (250/5000 visible)
[2021-03-16 23:16:39] Training mlp across 250 data points in blobs...
[2021-03-16 23:16:46] Training accuracy: 0.8836
[2021-03-16 23:16:46] Testing on 5000 data points...
[2021-03-16 23:16:46] Test accuracy: 0.8582
[2021-03-16 23:16:46] Score for 250 labels: 0.8582
[2021-03-16 23:16:46] Showing labelled: False (4750/5000 visible)
[2021-03-16 23:16:46] Found 4750 unlabelled features.
[2021-03-16 23:16:47] Showing labelled: True (275/5000 visible)
[2021-03-16 23:16:47] Training mlp across 275 data points in blobs...
[2021-03-16 23:16:55] Training accuracy: 0.8926
[2021-03-16 23:16:55] Testing on 5000 data points...
[2021-03-16 23:16:55] Test accuracy: 0.8588
[2021-03-16 23:16:55] Score for 275 labels: 0.8588
[2021-03-16 23:16:55] Showing labelled: False (4725/5000 visible)
[2021-03-16 23:16:55] Found 4725 unlabelled features.
[2021-03-16 23:16:55] Showing labelled: True (300/5000 visible)
[2021-03-16 23:16:55] Training mlp across 300 data points in blobs...
[2021-03-16 23:17:04] Training accuracy: 0.8997
[2021-03-16 23:17:04] Testing on 5000 data points...
[2021-03-16 23:17:04] Test accuracy: 0.8608
[2021-03-16 23:17:04] Score for 300 labels: 0.8608
[2021-03-16 23:17:04] Running: experiment 2
[2021-03-16 23:17:04] Showing labelled: True (50/5000 visible)
[2021-03-16 23:17:04] mlp: initialized 1482 parameters.
[2021-03-16 23:17:04] Creating trainer with model on device: cuda
[2021-03-16 23:17:04] Training mlp across 50 data points in blobs...
[2021-03-16 23:17:05] Training accuracy: 0.4891
[2021-03-16 23:17:05] Testing on 5000 data points...
[2021-03-16 23:17:05] Test accuracy: 0.2254
[2021-03-16 23:17:05] Score for 50 labels: 0.2254
[2021-03-16 23:17:05] Showing labelled: False (4950/5000 visible)
[2021-03-16 23:17:05] Found 4950 unlabelled features.
[2021-03-16 23:17:05] Showing labelled: True (75/5000 visible)
[2021-03-16 23:17:05] Training mlp across 75 data points in blobs...
[2021-03-16 23:17:08] Training accuracy: 0.7411
[2021-03-16 23:17:08] Testing on 5000 data points...
[2021-03-16 23:17:08] Test accuracy: 0.4442
[2021-03-16 23:17:08] Score for 75 labels: 0.4442
[2021-03-16 23:17:08] Showing labelled: False (4925/5000 visible)
[2021-03-16 23:17:08] Found 4925 unlabelled features.
[2021-03-16 23:17:08] Showing labelled: True (100/5000 visible)
[2021-03-16 23:17:08] Training mlp across 100 data points in blobs...
[2021-03-16 23:17:11] Training accuracy: 0.8387
[2021-03-16 23:17:11] Testing on 5000 data points...
[2021-03-16 23:17:11] Test accuracy: 0.6200
[2021-03-16 23:17:11] Score for 100 labels: 0.6200
[2021-03-16 23:17:11] Showing labelled: False (4900/5000 visible)
[2021-03-16 23:17:11] Found 4900 unlabelled features.
[2021-03-16 23:17:11] Showing labelled: True (125/5000 visible)
[2021-03-16 23:17:11] Training mlp across 125 data points in blobs...
[2021-03-16 23:17:15] Training accuracy: 0.9111
[2021-03-16 23:17:15] Testing on 5000 data points...
[2021-03-16 23:17:15] Test accuracy: 0.6480
[2021-03-16 23:17:15] Score for 125 labels: 0.6480
[2021-03-16 23:17:15] Showing labelled: False (4875/5000 visible)
[2021-03-16 23:17:15] Found 4875 unlabelled features.
[2021-03-16 23:17:15] Showing labelled: True (150/5000 visible)
[2021-03-16 23:17:15] Training mlp across 150 data points in blobs...
[2021-03-16 23:17:19] Training accuracy: 0.8989
[2021-03-16 23:17:19] Testing on 5000 data points...
[2021-03-16 23:17:19] Test accuracy: 0.6558
[2021-03-16 23:17:19] Score for 150 labels: 0.6558
[2021-03-16 23:17:19] Showing labelled: False (4850/5000 visible)
[2021-03-16 23:17:19] Found 4850 unlabelled features.
[2021-03-16 23:17:19] Showing labelled: True (175/5000 visible)
[2021-03-16 23:17:19] Training mlp across 175 data points in blobs...
[2021-03-16 23:17:25] Training accuracy: 0.8859
[2021-03-16 23:17:25] Testing on 5000 data points...
[2021-03-16 23:17:25] Test accuracy: 0.6838
[2021-03-16 23:17:25] Score for 175 labels: 0.6838
[2021-03-16 23:17:25] Showing labelled: False (4825/5000 visible)
[2021-03-16 23:17:25] Found 4825 unlabelled features.
[2021-03-16 23:17:25] Showing labelled: True (200/5000 visible)
[2021-03-16 23:17:25] Training mlp across 200 data points in blobs...
[2021-03-16 23:17:31] Training accuracy: 0.8930
[2021-03-16 23:17:31] Testing on 5000 data points...
[2021-03-16 23:17:31] Test accuracy: 0.7458
[2021-03-16 23:17:31] Score for 200 labels: 0.7458
[2021-03-16 23:17:31] Showing labelled: False (4800/5000 visible)
[2021-03-16 23:17:31] Found 4800 unlabelled features.
[2021-03-16 23:17:31] Showing labelled: True (225/5000 visible)
[2021-03-16 23:17:31] Training mlp across 225 data points in blobs...
[2021-03-16 23:17:38] Training accuracy: 0.8889
[2021-03-16 23:17:38] Testing on 5000 data points...
[2021-03-16 23:17:38] Test accuracy: 0.7584
[2021-03-16 23:17:38] Score for 225 labels: 0.7584
[2021-03-16 23:17:38] Showing labelled: False (4775/5000 visible)
[2021-03-16 23:17:38] Found 4775 unlabelled features.
[2021-03-16 23:17:38] Showing labelled: True (250/5000 visible)
[2021-03-16 23:17:38] Training mlp across 250 data points in blobs...
[2021-03-16 23:17:45] Training accuracy: 0.8960
[2021-03-16 23:17:45] Testing on 5000 data points...
[2021-03-16 23:17:45] Test accuracy: 0.7584
[2021-03-16 23:17:45] Score for 250 labels: 0.7584
[2021-03-16 23:17:45] Showing labelled: False (4750/5000 visible)
[2021-03-16 23:17:45] Found 4750 unlabelled features.
[2021-03-16 23:17:45] Showing labelled: True (275/5000 visible)
[2021-03-16 23:17:45] Training mlp across 275 data points in blobs...
[2021-03-16 23:17:53] Training accuracy: 0.9077
[2021-03-16 23:17:53] Testing on 5000 data points...
[2021-03-16 23:17:53] Test accuracy: 0.7826
[2021-03-16 23:17:53] Score for 275 labels: 0.7826
[2021-03-16 23:17:53] Showing labelled: False (4725/5000 visible)
[2021-03-16 23:17:53] Found 4725 unlabelled features.
[2021-03-16 23:17:54] Showing labelled: True (300/5000 visible)
[2021-03-16 23:17:54] Training mlp across 300 data points in blobs...
[2021-03-16 23:18:02] Training accuracy: 0.9100
[2021-03-16 23:18:02] Testing on 5000 data points...
[2021-03-16 23:18:02] Test accuracy: 0.7838
[2021-03-16 23:18:02] Score for 300 labels: 0.7838
[2021-03-16 23:18:02] Experiment repeat 3/4
[2021-03-16 23:18:02] Randomly labelled 50/5000
[2021-03-16 23:18:02] Showing labelled: True (50/5000 visible)
[2021-03-16 23:18:02] Running: experiment 0
[2021-03-16 23:18:02] Showing labelled: True (50/5000 visible)
[2021-03-16 23:18:02] mlp: initialized 1482 parameters.
[2021-03-16 23:18:02] Creating trainer with model on device: cuda
[2021-03-16 23:18:02] Training mlp across 50 data points in blobs...
[2021-03-16 23:18:03] Training accuracy: 0.5276
[2021-03-16 23:18:03] Testing on 5000 data points...
[2021-03-16 23:18:04] Test accuracy: 0.2000
[2021-03-16 23:18:04] Score for 50 labels: 0.2000
[2021-03-16 23:18:04] Showing labelled: False (4950/5000 visible)
[2021-03-16 23:18:04] Found 4950 unlabelled features.
[2021-03-16 23:18:04] Showing labelled: True (75/5000 visible)
[2021-03-16 23:18:04] Training mlp across 75 data points in blobs...
[2021-03-16 23:18:07] Training accuracy: 0.6438
[2021-03-16 23:18:07] Testing on 5000 data points...
[2021-03-16 23:18:07] Test accuracy: 0.5994
[2021-03-16 23:18:07] Score for 75 labels: 0.5994
[2021-03-16 23:18:07] Showing labelled: False (4925/5000 visible)
[2021-03-16 23:18:07] Found 4925 unlabelled features.
[2021-03-16 23:18:07] Showing labelled: True (100/5000 visible)
[2021-03-16 23:18:07] Training mlp across 100 data points in blobs...
[2021-03-16 23:18:10] Training accuracy: 0.7141
[2021-03-16 23:18:10] Testing on 5000 data points...
[2021-03-16 23:18:10] Test accuracy: 0.6912
[2021-03-16 23:18:10] Score for 100 labels: 0.6912
[2021-03-16 23:18:10] Showing labelled: False (4900/5000 visible)
[2021-03-16 23:18:10] Found 4900 unlabelled features.
[2021-03-16 23:18:10] Showing labelled: True (125/5000 visible)
[2021-03-16 23:18:10] Training mlp across 125 data points in blobs...
[2021-03-16 23:18:15] Training accuracy: 0.7766
[2021-03-16 23:18:15] Testing on 5000 data points...
[2021-03-16 23:18:15] Test accuracy: 0.7682
[2021-03-16 23:18:15] Score for 125 labels: 0.7682
[2021-03-16 23:18:15] Showing labelled: False (4875/5000 visible)
[2021-03-16 23:18:15] Found 4875 unlabelled features.
[2021-03-16 23:18:15] Showing labelled: True (150/5000 visible)
[2021-03-16 23:18:15] Training mlp across 150 data points in blobs...
[2021-03-16 23:18:19] Training accuracy: 0.8172
[2021-03-16 23:18:19] Testing on 5000 data points...
[2021-03-16 23:18:19] Test accuracy: 0.8186
[2021-03-16 23:18:19] Score for 150 labels: 0.8186
[2021-03-16 23:18:19] Showing labelled: False (4850/5000 visible)
[2021-03-16 23:18:19] Found 4850 unlabelled features.
[2021-03-16 23:18:20] Showing labelled: True (175/5000 visible)
[2021-03-16 23:18:20] Training mlp across 175 data points in blobs...
[2021-03-16 23:18:25] Training accuracy: 0.8640
[2021-03-16 23:18:25] Testing on 5000 data points...
[2021-03-16 23:18:25] Test accuracy: 0.8268
[2021-03-16 23:18:25] Score for 175 labels: 0.8268
[2021-03-16 23:18:25] Showing labelled: False (4825/5000 visible)
[2021-03-16 23:18:25] Found 4825 unlabelled features.
[2021-03-16 23:18:26] Showing labelled: True (200/5000 visible)
[2021-03-16 23:18:26] Training mlp across 200 data points in blobs...
[2021-03-16 23:18:32] Training accuracy: 0.8937
[2021-03-16 23:18:32] Testing on 5000 data points...
[2021-03-16 23:18:32] Test accuracy: 0.8406
[2021-03-16 23:18:32] Score for 200 labels: 0.8406
[2021-03-16 23:18:32] Showing labelled: False (4800/5000 visible)
[2021-03-16 23:18:32] Found 4800 unlabelled features.
[2021-03-16 23:18:32] Showing labelled: True (225/5000 visible)
[2021-03-16 23:18:32] Training mlp across 225 data points in blobs...
[2021-03-16 23:18:39] Training accuracy: 0.8915
[2021-03-16 23:18:39] Testing on 5000 data points...
[2021-03-16 23:18:39] Test accuracy: 0.8438
[2021-03-16 23:18:39] Score for 225 labels: 0.8438
[2021-03-16 23:18:39] Showing labelled: False (4775/5000 visible)
[2021-03-16 23:18:39] Found 4775 unlabelled features.
[2021-03-16 23:18:39] Showing labelled: True (250/5000 visible)
[2021-03-16 23:18:39] Training mlp across 250 data points in blobs...
[2021-03-16 23:18:47] Training accuracy: 0.8958
[2021-03-16 23:18:47] Testing on 5000 data points...
[2021-03-16 23:18:47] Test accuracy: 0.8484
[2021-03-16 23:18:47] Score for 250 labels: 0.8484
[2021-03-16 23:18:47] Showing labelled: False (4750/5000 visible)
[2021-03-16 23:18:47] Found 4750 unlabelled features.
[2021-03-16 23:18:47] Showing labelled: True (275/5000 visible)
[2021-03-16 23:18:47] Training mlp across 275 data points in blobs...
[2021-03-16 23:18:57] Training accuracy: 0.8929
[2021-03-16 23:18:57] Testing on 5000 data points...
[2021-03-16 23:18:57] Test accuracy: 0.8672
[2021-03-16 23:18:57] Score for 275 labels: 0.8672
[2021-03-16 23:18:57] Showing labelled: False (4725/5000 visible)
[2021-03-16 23:18:57] Found 4725 unlabelled features.
[2021-03-16 23:18:57] Showing labelled: True (300/5000 visible)
[2021-03-16 23:18:57] Training mlp across 300 data points in blobs...
[2021-03-16 23:19:06] Training accuracy: 0.8972
[2021-03-16 23:19:06] Testing on 5000 data points...
[2021-03-16 23:19:06] Test accuracy: 0.8700
[2021-03-16 23:19:06] Score for 300 labels: 0.8700
[2021-03-16 23:19:06] Running: experiment 1
[2021-03-16 23:19:06] Showing labelled: True (50/5000 visible)
[2021-03-16 23:19:06] mlp: initialized 1482 parameters.
[2021-03-16 23:19:06] Creating trainer with model on device: cuda
[2021-03-16 23:19:06] Training mlp across 50 data points in blobs...
[2021-03-16 23:19:08] Training accuracy: 0.5068
[2021-03-16 23:19:08] Testing on 5000 data points...
[2021-03-16 23:19:08] Test accuracy: 0.1998
[2021-03-16 23:19:08] Score for 50 labels: 0.1998
[2021-03-16 23:19:08] Showing labelled: False (4950/5000 visible)
[2021-03-16 23:19:08] Found 4950 unlabelled features.
[2021-03-16 23:19:08] Showing labelled: True (75/5000 visible)
[2021-03-16 23:19:08] Training mlp across 75 data points in blobs...
[2021-03-16 23:19:10] Training accuracy: 0.6536
[2021-03-16 23:19:10] Testing on 5000 data points...
[2021-03-16 23:19:10] Test accuracy: 0.6446
[2021-03-16 23:19:10] Score for 75 labels: 0.6446
[2021-03-16 23:19:10] Showing labelled: False (4925/5000 visible)
[2021-03-16 23:19:10] Found 4925 unlabelled features.
[2021-03-16 23:19:11] Showing labelled: True (100/5000 visible)
[2021-03-16 23:19:11] Training mlp across 100 data points in blobs...
[2021-03-16 23:19:13] Training accuracy: 0.7274
[2021-03-16 23:19:13] Testing on 5000 data points...
[2021-03-16 23:19:13] Test accuracy: 0.6766
[2021-03-16 23:19:13] Score for 100 labels: 0.6766
[2021-03-16 23:19:13] Showing labelled: False (4900/5000 visible)
[2021-03-16 23:19:13] Found 4900 unlabelled features.
[2021-03-16 23:19:14] Showing labelled: True (125/5000 visible)
[2021-03-16 23:19:14] Training mlp across 125 data points in blobs...
[2021-03-16 23:19:18] Training accuracy: 0.7580
[2021-03-16 23:19:18] Testing on 5000 data points...
[2021-03-16 23:19:18] Test accuracy: 0.7486
[2021-03-16 23:19:18] Score for 125 labels: 0.7486
[2021-03-16 23:19:18] Showing labelled: False (4875/5000 visible)
[2021-03-16 23:19:18] Found 4875 unlabelled features.
[2021-03-16 23:19:18] Showing labelled: True (150/5000 visible)
[2021-03-16 23:19:18] Training mlp across 150 data points in blobs...
[2021-03-16 23:19:22] Training accuracy: 0.7832
[2021-03-16 23:19:22] Testing on 5000 data points...
[2021-03-16 23:19:23] Test accuracy: 0.7768
[2021-03-16 23:19:23] Score for 150 labels: 0.7768
[2021-03-16 23:19:23] Showing labelled: False (4850/5000 visible)
[2021-03-16 23:19:23] Found 4850 unlabelled features.
[2021-03-16 23:19:23] Showing labelled: True (175/5000 visible)
[2021-03-16 23:19:23] Training mlp across 175 data points in blobs...
[2021-03-16 23:19:29] Training accuracy: 0.8108
[2021-03-16 23:19:29] Testing on 5000 data points...
[2021-03-16 23:19:29] Test accuracy: 0.8160
[2021-03-16 23:19:29] Score for 175 labels: 0.8160
[2021-03-16 23:19:29] Showing labelled: False (4825/5000 visible)
[2021-03-16 23:19:29] Found 4825 unlabelled features.
[2021-03-16 23:19:29] Showing labelled: True (200/5000 visible)
[2021-03-16 23:19:29] Training mlp across 200 data points in blobs...
[2021-03-16 23:19:35] Training accuracy: 0.8516
[2021-03-16 23:19:35] Testing on 5000 data points...
[2021-03-16 23:19:35] Test accuracy: 0.8320
[2021-03-16 23:19:35] Score for 200 labels: 0.8320
[2021-03-16 23:19:35] Showing labelled: False (4800/5000 visible)
[2021-03-16 23:19:35] Found 4800 unlabelled features.
[2021-03-16 23:19:35] Showing labelled: True (225/5000 visible)
[2021-03-16 23:19:35] Training mlp across 225 data points in blobs...
[2021-03-16 23:19:42] Training accuracy: 0.8501
[2021-03-16 23:19:42] Testing on 5000 data points...
[2021-03-16 23:19:42] Test accuracy: 0.8372
[2021-03-16 23:19:42] Score for 225 labels: 0.8372
[2021-03-16 23:19:42] Showing labelled: False (4775/5000 visible)
[2021-03-16 23:19:42] Found 4775 unlabelled features.
[2021-03-16 23:19:42] Showing labelled: True (250/5000 visible)
[2021-03-16 23:19:42] Training mlp across 250 data points in blobs...
[2021-03-16 23:19:50] Training accuracy: 0.8565
[2021-03-16 23:19:50] Testing on 5000 data points...
[2021-03-16 23:19:50] Test accuracy: 0.8510
[2021-03-16 23:19:50] Score for 250 labels: 0.8510
[2021-03-16 23:19:50] Showing labelled: False (4750/5000 visible)
[2021-03-16 23:19:50] Found 4750 unlabelled features.
[2021-03-16 23:19:51] Showing labelled: True (275/5000 visible)
[2021-03-16 23:19:51] Training mlp across 275 data points in blobs...
[2021-03-16 23:19:59] Training accuracy: 0.8795
[2021-03-16 23:19:59] Testing on 5000 data points...
[2021-03-16 23:19:59] Test accuracy: 0.8562
[2021-03-16 23:19:59] Score for 275 labels: 0.8562
[2021-03-16 23:19:59] Showing labelled: False (4725/5000 visible)
[2021-03-16 23:19:59] Found 4725 unlabelled features.
[2021-03-16 23:20:00] Showing labelled: True (300/5000 visible)
[2021-03-16 23:20:00] Training mlp across 300 data points in blobs...
[2021-03-16 23:20:10] Training accuracy: 0.8879
[2021-03-16 23:20:10] Testing on 5000 data points...
[2021-03-16 23:20:10] Test accuracy: 0.8590
[2021-03-16 23:20:10] Score for 300 labels: 0.8590
[2021-03-16 23:20:10] Running: experiment 2
[2021-03-16 23:20:10] Showing labelled: True (50/5000 visible)
[2021-03-16 23:20:10] mlp: initialized 1482 parameters.
[2021-03-16 23:20:10] Creating trainer with model on device: cuda
[2021-03-16 23:20:10] Training mlp across 50 data points in blobs...
[2021-03-16 23:20:12] Training accuracy: 0.6575
[2021-03-16 23:20:12] Testing on 5000 data points...
[2021-03-16 23:20:12] Test accuracy: 0.2992
[2021-03-16 23:20:12] Score for 50 labels: 0.2992
[2021-03-16 23:20:12] Showing labelled: False (4950/5000 visible)
[2021-03-16 23:20:12] Found 4950 unlabelled features.
[2021-03-16 23:20:12] Showing labelled: True (75/5000 visible)
[2021-03-16 23:20:12] Training mlp across 75 data points in blobs...
[2021-03-16 23:20:15] Training accuracy: 0.6837
[2021-03-16 23:20:15] Testing on 5000 data points...
[2021-03-16 23:20:15] Test accuracy: 0.4192
[2021-03-16 23:20:15] Score for 75 labels: 0.4192
[2021-03-16 23:20:15] Showing labelled: False (4925/5000 visible)
[2021-03-16 23:20:15] Found 4925 unlabelled features.
[2021-03-16 23:20:15] Showing labelled: True (100/5000 visible)
[2021-03-16 23:20:15] Training mlp across 100 data points in blobs...
[2021-03-16 23:20:19] Training accuracy: 0.8070
[2021-03-16 23:20:19] Testing on 5000 data points...
[2021-03-16 23:20:19] Test accuracy: 0.6306
[2021-03-16 23:20:19] Score for 100 labels: 0.6306
[2021-03-16 23:20:19] Showing labelled: False (4900/5000 visible)
[2021-03-16 23:20:19] Found 4900 unlabelled features.
[2021-03-16 23:20:19] Showing labelled: True (125/5000 visible)
[2021-03-16 23:20:19] Training mlp across 125 data points in blobs...
[2021-03-16 23:20:23] Training accuracy: 0.8572
[2021-03-16 23:20:23] Testing on 5000 data points...
[2021-03-16 23:20:23] Test accuracy: 0.6888
[2021-03-16 23:20:23] Score for 125 labels: 0.6888
[2021-03-16 23:20:23] Showing labelled: False (4875/5000 visible)
[2021-03-16 23:20:23] Found 4875 unlabelled features.
[2021-03-16 23:20:23] Showing labelled: True (150/5000 visible)
[2021-03-16 23:20:23] Training mlp across 150 data points in blobs...
[2021-03-16 23:20:28] Training accuracy: 0.8640
[2021-03-16 23:20:28] Testing on 5000 data points...
[2021-03-16 23:20:28] Test accuracy: 0.7270
[2021-03-16 23:20:28] Score for 150 labels: 0.7270
[2021-03-16 23:20:28] Showing labelled: False (4850/5000 visible)
[2021-03-16 23:20:28] Found 4850 unlabelled features.
[2021-03-16 23:20:28] Showing labelled: True (175/5000 visible)
[2021-03-16 23:20:28] Training mlp across 175 data points in blobs...
[2021-03-16 23:20:33] Training accuracy: 0.8939
[2021-03-16 23:20:33] Testing on 5000 data points...
[2021-03-16 23:20:33] Test accuracy: 0.7402
[2021-03-16 23:20:33] Score for 175 labels: 0.7402
[2021-03-16 23:20:33] Showing labelled: False (4825/5000 visible)
[2021-03-16 23:20:33] Found 4825 unlabelled features.
[2021-03-16 23:20:34] Showing labelled: True (200/5000 visible)
[2021-03-16 23:20:34] Training mlp across 200 data points in blobs...
[2021-03-16 23:20:39] Training accuracy: 0.8993
[2021-03-16 23:20:39] Testing on 5000 data points...
[2021-03-16 23:20:39] Test accuracy: 0.7474
[2021-03-16 23:20:39] Score for 200 labels: 0.7474
[2021-03-16 23:20:39] Showing labelled: False (4800/5000 visible)
[2021-03-16 23:20:39] Found 4800 unlabelled features.
[2021-03-16 23:20:39] Showing labelled: True (225/5000 visible)
[2021-03-16 23:20:39] Training mlp across 225 data points in blobs...
[2021-03-16 23:20:47] Training accuracy: 0.9022
[2021-03-16 23:20:47] Testing on 5000 data points...
[2021-03-16 23:20:47] Test accuracy: 0.7484
[2021-03-16 23:20:47] Score for 225 labels: 0.7484
[2021-03-16 23:20:47] Showing labelled: False (4775/5000 visible)
[2021-03-16 23:20:47] Found 4775 unlabelled features.
[2021-03-16 23:20:47] Showing labelled: True (250/5000 visible)
[2021-03-16 23:20:47] Training mlp across 250 data points in blobs...
[2021-03-16 23:20:54] Training accuracy: 0.9040
[2021-03-16 23:20:54] Testing on 5000 data points...
[2021-03-16 23:20:55] Test accuracy: 0.7488
[2021-03-16 23:20:55] Score for 250 labels: 0.7488
[2021-03-16 23:20:55] Showing labelled: False (4750/5000 visible)
[2021-03-16 23:20:55] Found 4750 unlabelled features.
[2021-03-16 23:20:55] Showing labelled: True (275/5000 visible)
[2021-03-16 23:20:55] Training mlp across 275 data points in blobs...
[2021-03-16 23:21:03] Training accuracy: 0.8963
[2021-03-16 23:21:03] Testing on 5000 data points...
[2021-03-16 23:21:04] Test accuracy: 0.7792
[2021-03-16 23:21:04] Score for 275 labels: 0.7792
[2021-03-16 23:21:04] Showing labelled: False (4725/5000 visible)
[2021-03-16 23:21:04] Found 4725 unlabelled features.
[2021-03-16 23:21:04] Showing labelled: True (300/5000 visible)
[2021-03-16 23:21:04] Training mlp across 300 data points in blobs...
[2021-03-16 23:21:13] Training accuracy: 0.8987
[2021-03-16 23:21:13] Testing on 5000 data points...
[2021-03-16 23:21:13] Test accuracy: 0.7842
[2021-03-16 23:21:13] Score for 300 labels: 0.7842
[2021-03-16 23:21:13] Experiment repeat 4/4
[2021-03-16 23:21:13] Randomly labelled 50/5000
[2021-03-16 23:21:13] Showing labelled: True (50/5000 visible)
[2021-03-16 23:21:13] Running: experiment 0
[2021-03-16 23:21:13] Showing labelled: True (50/5000 visible)
[2021-03-16 23:21:13] mlp: initialized 1482 parameters.
[2021-03-16 23:21:13] Creating trainer with model on device: cuda
[2021-03-16 23:21:13] Training mlp across 50 data points in blobs...
[2021-03-16 23:21:14] Training accuracy: 0.5284
[2021-03-16 23:21:14] Testing on 5000 data points...
[2021-03-16 23:21:14] Test accuracy: 0.3970
[2021-03-16 23:21:14] Score for 50 labels: 0.3970
[2021-03-16 23:21:14] Showing labelled: False (4950/5000 visible)
[2021-03-16 23:21:14] Found 4950 unlabelled features.
[2021-03-16 23:21:15] Showing labelled: True (75/5000 visible)
[2021-03-16 23:21:15] Training mlp across 75 data points in blobs...
[2021-03-16 23:21:18] Training accuracy: 0.5956
[2021-03-16 23:21:18] Testing on 5000 data points...
[2021-03-16 23:21:18] Test accuracy: 0.5318
[2021-03-16 23:21:18] Score for 75 labels: 0.5318
[2021-03-16 23:21:18] Showing labelled: False (4925/5000 visible)
[2021-03-16 23:21:18] Found 4925 unlabelled features.
[2021-03-16 23:21:18] Showing labelled: True (100/5000 visible)
[2021-03-16 23:21:18] Training mlp across 100 data points in blobs...
[2021-03-16 23:21:21] Training accuracy: 0.7364
[2021-03-16 23:21:21] Testing on 5000 data points...
[2021-03-16 23:21:21] Test accuracy: 0.6524
[2021-03-16 23:21:21] Score for 100 labels: 0.6524
[2021-03-16 23:21:21] Showing labelled: False (4900/5000 visible)
[2021-03-16 23:21:21] Found 4900 unlabelled features.
[2021-03-16 23:21:22] Showing labelled: True (125/5000 visible)
[2021-03-16 23:21:22] Training mlp across 125 data points in blobs...
[2021-03-16 23:21:26] Training accuracy: 0.7888
[2021-03-16 23:21:26] Testing on 5000 data points...
[2021-03-16 23:21:26] Test accuracy: 0.7858
[2021-03-16 23:21:26] Score for 125 labels: 0.7858
[2021-03-16 23:21:26] Showing labelled: False (4875/5000 visible)
[2021-03-16 23:21:26] Found 4875 unlabelled features.
[2021-03-16 23:21:26] Showing labelled: True (150/5000 visible)
[2021-03-16 23:21:26] Training mlp across 150 data points in blobs...
[2021-03-16 23:21:30] Training accuracy: 0.8218
[2021-03-16 23:21:30] Testing on 5000 data points...
[2021-03-16 23:21:30] Test accuracy: 0.8230
[2021-03-16 23:21:30] Score for 150 labels: 0.8230
[2021-03-16 23:21:30] Showing labelled: False (4850/5000 visible)
[2021-03-16 23:21:30] Found 4850 unlabelled features.
[2021-03-16 23:21:31] Showing labelled: True (175/5000 visible)
[2021-03-16 23:21:31] Training mlp across 175 data points in blobs...
[2021-03-16 23:21:36] Training accuracy: 0.8490
[2021-03-16 23:21:36] Testing on 5000 data points...
[2021-03-16 23:21:36] Test accuracy: 0.8432
[2021-03-16 23:21:36] Score for 175 labels: 0.8432
[2021-03-16 23:21:36] Showing labelled: False (4825/5000 visible)
[2021-03-16 23:21:36] Found 4825 unlabelled features.
[2021-03-16 23:21:37] Showing labelled: True (200/5000 visible)
[2021-03-16 23:21:37] Training mlp across 200 data points in blobs...
[2021-03-16 23:21:42] Training accuracy: 0.8760
[2021-03-16 23:21:42] Testing on 5000 data points...
[2021-03-16 23:21:42] Test accuracy: 0.8474
[2021-03-16 23:21:42] Score for 200 labels: 0.8474
[2021-03-16 23:21:42] Showing labelled: False (4800/5000 visible)
[2021-03-16 23:21:42] Found 4800 unlabelled features.
[2021-03-16 23:21:43] Showing labelled: True (225/5000 visible)
[2021-03-16 23:21:43] Training mlp across 225 data points in blobs...
[2021-03-16 23:21:50] Training accuracy: 0.8866
[2021-03-16 23:21:50] Testing on 5000 data points...
[2021-03-16 23:21:50] Test accuracy: 0.8434
[2021-03-16 23:21:50] Score for 225 labels: 0.8434
[2021-03-16 23:21:50] Showing labelled: False (4775/5000 visible)
[2021-03-16 23:21:50] Found 4775 unlabelled features.
[2021-03-16 23:21:50] Showing labelled: True (250/5000 visible)
[2021-03-16 23:21:50] Training mlp across 250 data points in blobs...
[2021-03-16 23:21:57] Training accuracy: 0.9009
[2021-03-16 23:21:57] Testing on 5000 data points...
[2021-03-16 23:21:57] Test accuracy: 0.8404
[2021-03-16 23:21:57] Score for 250 labels: 0.8404
[2021-03-16 23:21:57] Showing labelled: False (4750/5000 visible)
[2021-03-16 23:21:57] Found 4750 unlabelled features.
[2021-03-16 23:21:58] Showing labelled: True (275/5000 visible)
[2021-03-16 23:21:58] Training mlp across 275 data points in blobs...
[2021-03-16 23:22:07] Training accuracy: 0.8876
[2021-03-16 23:22:07] Testing on 5000 data points...
[2021-03-16 23:22:07] Test accuracy: 0.8448
[2021-03-16 23:22:07] Score for 275 labels: 0.8448
[2021-03-16 23:22:07] Showing labelled: False (4725/5000 visible)
[2021-03-16 23:22:07] Found 4725 unlabelled features.
[2021-03-16 23:22:08] Showing labelled: True (300/5000 visible)
[2021-03-16 23:22:08] Training mlp across 300 data points in blobs...
[2021-03-16 23:22:17] Training accuracy: 0.8876
[2021-03-16 23:22:17] Testing on 5000 data points...
[2021-03-16 23:22:17] Test accuracy: 0.8438
[2021-03-16 23:22:17] Score for 300 labels: 0.8438
[2021-03-16 23:22:17] Running: experiment 1
[2021-03-16 23:22:17] Showing labelled: True (50/5000 visible)
[2021-03-16 23:22:17] mlp: initialized 1482 parameters.
[2021-03-16 23:22:17] Creating trainer with model on device: cuda
[2021-03-16 23:22:17] Training mlp across 50 data points in blobs...
[2021-03-16 23:22:19] Training accuracy: 0.4135
[2021-03-16 23:22:19] Testing on 5000 data points...
[2021-03-16 23:22:19] Test accuracy: 0.3850
[2021-03-16 23:22:19] Score for 50 labels: 0.3850
[2021-03-16 23:22:19] Showing labelled: False (4950/5000 visible)
[2021-03-16 23:22:19] Found 4950 unlabelled features.
[2021-03-16 23:22:19] Showing labelled: True (75/5000 visible)
[2021-03-16 23:22:19] Training mlp across 75 data points in blobs...
[2021-03-16 23:22:21] Training accuracy: 0.6104
[2021-03-16 23:22:21] Testing on 5000 data points...
[2021-03-16 23:22:21] Test accuracy: 0.6762
[2021-03-16 23:22:21] Score for 75 labels: 0.6762
[2021-03-16 23:22:21] Showing labelled: False (4925/5000 visible)
[2021-03-16 23:22:21] Found 4925 unlabelled features.
[2021-03-16 23:22:22] Showing labelled: True (100/5000 visible)
[2021-03-16 23:22:22] Training mlp across 100 data points in blobs...
[2021-03-16 23:22:25] Training accuracy: 0.7356
[2021-03-16 23:22:25] Testing on 5000 data points...
[2021-03-16 23:22:25] Test accuracy: 0.7366
[2021-03-16 23:22:25] Score for 100 labels: 0.7366
[2021-03-16 23:22:25] Showing labelled: False (4900/5000 visible)
[2021-03-16 23:22:25] Found 4900 unlabelled features.
[2021-03-16 23:22:25] Showing labelled: True (125/5000 visible)
[2021-03-16 23:22:25] Training mlp across 125 data points in blobs...
[2021-03-16 23:22:29] Training accuracy: 0.8104
[2021-03-16 23:22:29] Testing on 5000 data points...
[2021-03-16 23:22:29] Test accuracy: 0.7818
[2021-03-16 23:22:29] Score for 125 labels: 0.7818
[2021-03-16 23:22:29] Showing labelled: False (4875/5000 visible)
[2021-03-16 23:22:29] Found 4875 unlabelled features.
[2021-03-16 23:22:29] Showing labelled: True (150/5000 visible)
[2021-03-16 23:22:29] Training mlp across 150 data points in blobs...
[2021-03-16 23:22:34] Training accuracy: 0.8291
[2021-03-16 23:22:34] Testing on 5000 data points...
[2021-03-16 23:22:34] Test accuracy: 0.8250
[2021-03-16 23:22:34] Score for 150 labels: 0.8250
[2021-03-16 23:22:34] Showing labelled: False (4850/5000 visible)
[2021-03-16 23:22:34] Found 4850 unlabelled features.
[2021-03-16 23:22:34] Showing labelled: True (175/5000 visible)
[2021-03-16 23:22:34] Training mlp across 175 data points in blobs...
[2021-03-16 23:22:40] Training accuracy: 0.8514
[2021-03-16 23:22:40] Testing on 5000 data points...
[2021-03-16 23:22:40] Test accuracy: 0.8342
[2021-03-16 23:22:40] Score for 175 labels: 0.8342
[2021-03-16 23:22:40] Showing labelled: False (4825/5000 visible)
[2021-03-16 23:22:40] Found 4825 unlabelled features.
[2021-03-16 23:22:40] Showing labelled: True (200/5000 visible)
[2021-03-16 23:22:40] Training mlp across 200 data points in blobs...
[2021-03-16 23:22:46] Training accuracy: 0.8791
[2021-03-16 23:22:46] Testing on 5000 data points...
[2021-03-16 23:22:46] Test accuracy: 0.8400
[2021-03-16 23:22:46] Score for 200 labels: 0.8400
[2021-03-16 23:22:46] Showing labelled: False (4800/5000 visible)
[2021-03-16 23:22:46] Found 4800 unlabelled features.
[2021-03-16 23:22:46] Showing labelled: True (225/5000 visible)
[2021-03-16 23:22:46] Training mlp across 225 data points in blobs...
[2021-03-16 23:22:53] Training accuracy: 0.8905
[2021-03-16 23:22:53] Testing on 5000 data points...
[2021-03-16 23:22:53] Test accuracy: 0.8436
[2021-03-16 23:22:53] Score for 225 labels: 0.8436
[2021-03-16 23:22:53] Showing labelled: False (4775/5000 visible)
[2021-03-16 23:22:53] Found 4775 unlabelled features.
[2021-03-16 23:22:53] Showing labelled: True (250/5000 visible)
[2021-03-16 23:22:53] Training mlp across 250 data points in blobs...
[2021-03-16 23:23:00] Training accuracy: 0.8933
[2021-03-16 23:23:00] Testing on 5000 data points...
[2021-03-16 23:23:00] Test accuracy: 0.8528
[2021-03-16 23:23:00] Score for 250 labels: 0.8528
[2021-03-16 23:23:00] Showing labelled: False (4750/5000 visible)
[2021-03-16 23:23:00] Found 4750 unlabelled features.
[2021-03-16 23:23:00] Showing labelled: True (275/5000 visible)
[2021-03-16 23:23:00] Training mlp across 275 data points in blobs...
[2021-03-16 23:23:09] Training accuracy: 0.9019
[2021-03-16 23:23:09] Testing on 5000 data points...
[2021-03-16 23:23:09] Test accuracy: 0.8510
[2021-03-16 23:23:09] Score for 275 labels: 0.8510
[2021-03-16 23:23:09] Showing labelled: False (4725/5000 visible)
[2021-03-16 23:23:09] Found 4725 unlabelled features.
[2021-03-16 23:23:09] Showing labelled: True (300/5000 visible)
[2021-03-16 23:23:09] Training mlp across 300 data points in blobs...
[2021-03-16 23:23:18] Training accuracy: 0.9033
[2021-03-16 23:23:18] Testing on 5000 data points...
[2021-03-16 23:23:18] Test accuracy: 0.8498
[2021-03-16 23:23:18] Score for 300 labels: 0.8498
[2021-03-16 23:23:18] Running: experiment 2
[2021-03-16 23:23:18] Showing labelled: True (50/5000 visible)
[2021-03-16 23:23:18] mlp: initialized 1482 parameters.
[2021-03-16 23:23:18] Creating trainer with model on device: cuda
[2021-03-16 23:23:18] Training mlp across 50 data points in blobs...
[2021-03-16 23:23:19] Training accuracy: 0.5152
[2021-03-16 23:23:19] Testing on 5000 data points...
[2021-03-16 23:23:19] Test accuracy: 0.4004
[2021-03-16 23:23:19] Score for 50 labels: 0.4004
[2021-03-16 23:23:19] Showing labelled: False (4950/5000 visible)
[2021-03-16 23:23:19] Found 4950 unlabelled features.
[2021-03-16 23:23:19] Showing labelled: True (75/5000 visible)
[2021-03-16 23:23:19] Training mlp across 75 data points in blobs...
[2021-03-16 23:23:22] Training accuracy: 0.7598
[2021-03-16 23:23:22] Testing on 5000 data points...
[2021-03-16 23:23:22] Test accuracy: 0.4614
[2021-03-16 23:23:22] Score for 75 labels: 0.4614
[2021-03-16 23:23:22] Showing labelled: False (4925/5000 visible)
[2021-03-16 23:23:22] Found 4925 unlabelled features.
[2021-03-16 23:23:22] Showing labelled: True (100/5000 visible)
[2021-03-16 23:23:22] Training mlp across 100 data points in blobs...
[2021-03-16 23:23:25] Training accuracy: 0.8364
[2021-03-16 23:23:25] Testing on 5000 data points...
[2021-03-16 23:23:25] Test accuracy: 0.5756
[2021-03-16 23:23:25] Score for 100 labels: 0.5756
[2021-03-16 23:23:25] Showing labelled: False (4900/5000 visible)
[2021-03-16 23:23:25] Found 4900 unlabelled features.
[2021-03-16 23:23:25] Showing labelled: True (125/5000 visible)
[2021-03-16 23:23:25] Training mlp across 125 data points in blobs...
[2021-03-16 23:23:29] Training accuracy: 0.8652
[2021-03-16 23:23:29] Testing on 5000 data points...
[2021-03-16 23:23:29] Test accuracy: 0.5882
[2021-03-16 23:23:29] Score for 125 labels: 0.5882
[2021-03-16 23:23:29] Showing labelled: False (4875/5000 visible)
[2021-03-16 23:23:29] Found 4875 unlabelled features.
[2021-03-16 23:23:29] Showing labelled: True (150/5000 visible)
[2021-03-16 23:23:29] Training mlp across 150 data points in blobs...
[2021-03-16 23:23:33] Training accuracy: 0.8762
[2021-03-16 23:23:33] Testing on 5000 data points...
[2021-03-16 23:23:33] Test accuracy: 0.6298
[2021-03-16 23:23:33] Score for 150 labels: 0.6298
[2021-03-16 23:23:33] Showing labelled: False (4850/5000 visible)
[2021-03-16 23:23:33] Found 4850 unlabelled features.
[2021-03-16 23:23:33] Showing labelled: True (175/5000 visible)
[2021-03-16 23:23:33] Training mlp across 175 data points in blobs...
[2021-03-16 23:23:39] Training accuracy: 0.8778
[2021-03-16 23:23:39] Testing on 5000 data points...
[2021-03-16 23:23:39] Test accuracy: 0.7416
[2021-03-16 23:23:39] Score for 175 labels: 0.7416
[2021-03-16 23:23:39] Showing labelled: False (4825/5000 visible)
[2021-03-16 23:23:39] Found 4825 unlabelled features.
[2021-03-16 23:23:39] Showing labelled: True (200/5000 visible)
[2021-03-16 23:23:39] Training mlp across 200 data points in blobs...
[2021-03-16 23:23:45] Training accuracy: 0.8902
[2021-03-16 23:23:45] Testing on 5000 data points...
[2021-03-16 23:23:45] Test accuracy: 0.7854
[2021-03-16 23:23:45] Score for 200 labels: 0.7854
[2021-03-16 23:23:45] Showing labelled: False (4800/5000 visible)
[2021-03-16 23:23:45] Found 4800 unlabelled features.
[2021-03-16 23:23:45] Showing labelled: True (225/5000 visible)
[2021-03-16 23:23:45] Training mlp across 225 data points in blobs...
[2021-03-16 23:23:52] Training accuracy: 0.8977
[2021-03-16 23:23:52] Testing on 5000 data points...
[2021-03-16 23:23:52] Test accuracy: 0.8178
[2021-03-16 23:23:52] Score for 225 labels: 0.8178
[2021-03-16 23:23:52] Showing labelled: False (4775/5000 visible)
[2021-03-16 23:23:52] Found 4775 unlabelled features.
[2021-03-16 23:23:52] Showing labelled: True (250/5000 visible)
[2021-03-16 23:23:52] Training mlp across 250 data points in blobs...
[2021-03-16 23:23:59] Training accuracy: 0.8966
[2021-03-16 23:23:59] Testing on 5000 data points...
[2021-03-16 23:23:59] Test accuracy: 0.8258
[2021-03-16 23:23:59] Score for 250 labels: 0.8258
[2021-03-16 23:23:59] Showing labelled: False (4750/5000 visible)
[2021-03-16 23:23:59] Found 4750 unlabelled features.
[2021-03-16 23:24:00] Showing labelled: True (275/5000 visible)
[2021-03-16 23:24:00] Training mlp across 275 data points in blobs...
[2021-03-16 23:24:09] Training accuracy: 0.9101
[2021-03-16 23:24:09] Testing on 5000 data points...
[2021-03-16 23:24:09] Test accuracy: 0.8314
[2021-03-16 23:24:09] Score for 275 labels: 0.8314
[2021-03-16 23:24:09] Showing labelled: False (4725/5000 visible)
[2021-03-16 23:24:09] Found 4725 unlabelled features.
[2021-03-16 23:24:09] Showing labelled: True (300/5000 visible)
[2021-03-16 23:24:09] Training mlp across 300 data points in blobs...
[2021-03-16 23:24:18] Training accuracy: 0.9107
[2021-03-16 23:24:18] Testing on 5000 data points...
[2021-03-16 23:24:18] Test accuracy: 0.8354
[2021-03-16 23:24:18] Score for 300 labels: 0.8354
[2021-03-16 23:24:18] Updated results: ../results/blobs/lc_beam_coreset_labelsmooth/results.json
