[2021-03-14 19:40:15] Seeded: 5
[2021-03-14 19:40:15] Created experiment 0:
[2021-03-14 19:40:15]  - Model: mlp
[2021-03-14 19:40:15]  - Acquisition function: random
[2021-03-14 19:40:15] Created experiment 1:
[2021-03-14 19:40:15]  - Model: mlp
[2021-03-14 19:40:15]  - Acquisition function: least-confidence
[2021-03-14 19:40:15] Created experiment 2:
[2021-03-14 19:40:15]  - Model: mlp
[2021-03-14 19:40:15]  - Acquisition function: max-entropy
[2021-03-14 19:40:15] Created experiment 3:
[2021-03-14 19:40:15]  - Model: mlp
[2021-03-14 19:40:15]  - Acquisition function: p-coreset
[2021-03-14 19:40:15] Loading blobsthin test set...
[2021-03-14 19:40:15] Generated 5000 blobs:
[2021-03-14 19:40:15] Class 0: 200
[2021-03-14 19:40:15] Class 1: 300
[2021-03-14 19:40:15] Class 2: 1000
[2021-03-14 19:40:15] Class 3: 100
[2021-03-14 19:40:15] Class 4: 50
[2021-03-14 19:40:15] Class 5: 200
[2021-03-14 19:40:15] Class 6: 400
[2021-03-14 19:40:15] Class 7: 1800
[2021-03-14 19:40:15] Class 8: 50
[2021-03-14 19:40:15] Class 9: 900
[2021-03-14 19:40:15] Saved figure to: ../data/blobsthin_data.png
[2021-03-14 19:40:15] Generated 5000 test points.
[2021-03-14 19:40:15] Saved figure to: ../data/blobsthin_test.png
[2021-03-14 19:40:15] Experiment repeat 1/3
[2021-03-14 19:40:15] Randomly labelled 100/5000
[2021-03-14 19:40:15] Showing labelled: True (100/5000 visible)
[2021-03-14 19:40:15] Running: experiment 0
[2021-03-14 19:40:15] Showing labelled: True (100/5000 visible)
[2021-03-14 19:40:15] mlp: initialized 1482 parameters.
[2021-03-14 19:40:15] Creating trainer with model on device: cuda
[2021-03-14 19:40:20] Training mlp across 100 data points in blobsthin...
[2021-03-14 19:40:20] Training loss: 2.3462
[2021-03-14 19:40:20] Testing on 5000 data points...
[2021-03-14 19:40:20] Test accuracy: 0.0718
[2021-03-14 19:40:20] Score for 100 labels: 0.0718
[2021-03-14 19:40:20] Showing labelled: False (4900/5000 visible)
[2021-03-14 19:40:20] Found 4900 unlabelled features.
[2021-03-14 19:40:20] Showing labelled: True (150/5000 visible)
[2021-03-14 19:40:20] Training mlp across 150 data points in blobsthin...
[2021-03-14 19:40:20] Training loss: 2.2988
[2021-03-14 19:40:20] Testing on 5000 data points...
[2021-03-14 19:40:21] Test accuracy: 0.0724
[2021-03-14 19:40:21] Score for 150 labels: 0.0724
[2021-03-14 19:40:21] Showing labelled: False (4850/5000 visible)
[2021-03-14 19:40:21] Found 4850 unlabelled features.
[2021-03-14 19:40:21] Showing labelled: True (200/5000 visible)
[2021-03-14 19:40:21] Training mlp across 200 data points in blobsthin...
[2021-03-14 19:40:21] Training loss: 2.2607
[2021-03-14 19:40:21] Testing on 5000 data points...
[2021-03-14 19:40:21] Test accuracy: 0.0884
[2021-03-14 19:40:21] Score for 200 labels: 0.0884
[2021-03-14 19:40:21] Showing labelled: False (4800/5000 visible)
[2021-03-14 19:40:21] Found 4800 unlabelled features.
[2021-03-14 19:40:21] Showing labelled: True (250/5000 visible)
[2021-03-14 19:40:21] Training mlp across 250 data points in blobsthin...
[2021-03-14 19:40:21] Training loss: 2.2354
[2021-03-14 19:40:21] Testing on 5000 data points...
[2021-03-14 19:40:21] Test accuracy: 0.1200
[2021-03-14 19:40:21] Score for 250 labels: 0.1200
[2021-03-14 19:40:21] Showing labelled: False (4750/5000 visible)
[2021-03-14 19:40:21] Found 4750 unlabelled features.
[2021-03-14 19:40:21] Showing labelled: True (300/5000 visible)
[2021-03-14 19:40:21] Training mlp across 300 data points in blobsthin...
[2021-03-14 19:40:21] Training loss: 2.2066
[2021-03-14 19:40:21] Testing on 5000 data points...
[2021-03-14 19:40:21] Test accuracy: 0.1592
[2021-03-14 19:40:21] Score for 300 labels: 0.1592
[2021-03-14 19:40:21] Showing labelled: False (4700/5000 visible)
[2021-03-14 19:40:21] Found 4700 unlabelled features.
[2021-03-14 19:40:21] Showing labelled: True (350/5000 visible)
[2021-03-14 19:40:21] Training mlp across 350 data points in blobsthin...
[2021-03-14 19:40:21] Training loss: 2.1612
[2021-03-14 19:40:21] Testing on 5000 data points...
[2021-03-14 19:40:22] Test accuracy: 0.1554
[2021-03-14 19:40:22] Score for 350 labels: 0.1554
[2021-03-14 19:40:22] Showing labelled: False (4650/5000 visible)
[2021-03-14 19:40:22] Found 4650 unlabelled features.
[2021-03-14 19:40:22] Showing labelled: True (400/5000 visible)
[2021-03-14 19:40:22] Training mlp across 400 data points in blobsthin...
[2021-03-14 19:40:22] Training loss: 2.1288
[2021-03-14 19:40:22] Testing on 5000 data points...
[2021-03-14 19:40:22] Test accuracy: 0.1514
[2021-03-14 19:40:22] Score for 400 labels: 0.1514
[2021-03-14 19:40:22] Showing labelled: False (4600/5000 visible)
[2021-03-14 19:40:22] Found 4600 unlabelled features.
[2021-03-14 19:40:22] Showing labelled: True (450/5000 visible)
[2021-03-14 19:40:22] Training mlp across 450 data points in blobsthin...
[2021-03-14 19:40:22] Training loss: 2.0854
[2021-03-14 19:40:22] Testing on 5000 data points...
[2021-03-14 19:40:22] Test accuracy: 0.1464
[2021-03-14 19:40:22] Score for 450 labels: 0.1464
[2021-03-14 19:40:22] Showing labelled: False (4550/5000 visible)
[2021-03-14 19:40:22] Found 4550 unlabelled features.
[2021-03-14 19:40:22] Showing labelled: True (500/5000 visible)
[2021-03-14 19:40:22] Training mlp across 500 data points in blobsthin...
[2021-03-14 19:40:23] Training loss: 2.0456
[2021-03-14 19:40:23] Testing on 5000 data points...
[2021-03-14 19:40:23] Test accuracy: 0.1404
[2021-03-14 19:40:23] Score for 500 labels: 0.1404
[2021-03-14 19:40:23] Showing labelled: False (4500/5000 visible)
[2021-03-14 19:40:23] Found 4500 unlabelled features.
[2021-03-14 19:40:23] Showing labelled: True (550/5000 visible)
[2021-03-14 19:40:23] Training mlp across 550 data points in blobsthin...
[2021-03-14 19:40:23] Training loss: 2.0132
[2021-03-14 19:40:23] Testing on 5000 data points...
[2021-03-14 19:40:23] Test accuracy: 0.1354
[2021-03-14 19:40:23] Score for 550 labels: 0.1354
[2021-03-14 19:40:23] Showing labelled: False (4450/5000 visible)
[2021-03-14 19:40:23] Found 4450 unlabelled features.
[2021-03-14 19:40:23] Showing labelled: True (600/5000 visible)
[2021-03-14 19:40:23] Training mlp across 600 data points in blobsthin...
[2021-03-14 19:40:23] Training loss: 1.9675
[2021-03-14 19:40:23] Testing on 5000 data points...
[2021-03-14 19:40:23] Test accuracy: 0.1278
[2021-03-14 19:40:23] Score for 600 labels: 0.1278
[2021-03-14 19:40:23] Showing labelled: False (4400/5000 visible)
[2021-03-14 19:40:23] Found 4400 unlabelled features.
[2021-03-14 19:40:23] Showing labelled: True (650/5000 visible)
[2021-03-14 19:40:23] Training mlp across 650 data points in blobsthin...
[2021-03-14 19:40:24] Training loss: 1.9383
[2021-03-14 19:40:24] Testing on 5000 data points...
[2021-03-14 19:40:24] Test accuracy: 0.1192
[2021-03-14 19:40:24] Score for 650 labels: 0.1192
[2021-03-14 19:40:24] Showing labelled: False (4350/5000 visible)
[2021-03-14 19:40:24] Found 4350 unlabelled features.
[2021-03-14 19:40:24] Showing labelled: True (700/5000 visible)
[2021-03-14 19:40:24] Training mlp across 700 data points in blobsthin...
[2021-03-14 19:40:24] Training loss: 1.9123
[2021-03-14 19:40:24] Testing on 5000 data points...
[2021-03-14 19:40:24] Test accuracy: 0.1124
[2021-03-14 19:40:24] Score for 700 labels: 0.1124
[2021-03-14 19:40:24] Showing labelled: False (4300/5000 visible)
[2021-03-14 19:40:24] Found 4300 unlabelled features.
[2021-03-14 19:40:24] Showing labelled: True (750/5000 visible)
[2021-03-14 19:40:24] Training mlp across 750 data points in blobsthin...
[2021-03-14 19:40:25] Training loss: 1.8727
[2021-03-14 19:40:25] Testing on 5000 data points...
[2021-03-14 19:40:25] Test accuracy: 0.1046
[2021-03-14 19:40:25] Score for 750 labels: 0.1046
[2021-03-14 19:40:25] Showing labelled: False (4250/5000 visible)
[2021-03-14 19:40:25] Found 4250 unlabelled features.
[2021-03-14 19:40:25] Showing labelled: True (800/5000 visible)
[2021-03-14 19:40:25] Training mlp across 800 data points in blobsthin...
[2021-03-14 19:40:25] Training loss: 1.8379
[2021-03-14 19:40:25] Testing on 5000 data points...
[2021-03-14 19:40:25] Test accuracy: 0.1002
[2021-03-14 19:40:25] Score for 800 labels: 0.1002
[2021-03-14 19:40:25] Showing labelled: False (4200/5000 visible)
[2021-03-14 19:40:25] Found 4200 unlabelled features.
[2021-03-14 19:40:26] Showing labelled: True (850/5000 visible)
[2021-03-14 19:40:26] Training mlp across 850 data points in blobsthin...
[2021-03-14 19:40:26] Training loss: 1.8004
[2021-03-14 19:40:26] Testing on 5000 data points...
[2021-03-14 19:40:26] Test accuracy: 0.1002
[2021-03-14 19:40:26] Score for 850 labels: 0.1002
[2021-03-14 19:40:26] Showing labelled: False (4150/5000 visible)
[2021-03-14 19:40:26] Found 4150 unlabelled features.
[2021-03-14 19:40:26] Showing labelled: True (900/5000 visible)
[2021-03-14 19:40:26] Training mlp across 900 data points in blobsthin...
[2021-03-14 19:40:27] Training loss: 1.7614
[2021-03-14 19:40:27] Testing on 5000 data points...
[2021-03-14 19:40:27] Test accuracy: 0.1002
[2021-03-14 19:40:27] Score for 900 labels: 0.1002
[2021-03-14 19:40:27] Showing labelled: False (4100/5000 visible)
[2021-03-14 19:40:27] Found 4100 unlabelled features.
[2021-03-14 19:40:27] Showing labelled: True (950/5000 visible)
[2021-03-14 19:40:27] Training mlp across 950 data points in blobsthin...
[2021-03-14 19:40:27] Training loss: 1.7168
[2021-03-14 19:40:27] Testing on 5000 data points...
[2021-03-14 19:40:27] Test accuracy: 0.1000
[2021-03-14 19:40:27] Score for 950 labels: 0.1000
[2021-03-14 19:40:27] Showing labelled: False (4050/5000 visible)
[2021-03-14 19:40:27] Found 4050 unlabelled features.
[2021-03-14 19:40:27] Showing labelled: True (1000/5000 visible)
[2021-03-14 19:40:27] Training mlp across 1000 data points in blobsthin...
[2021-03-14 19:40:28] Training loss: 1.6750
[2021-03-14 19:40:28] Testing on 5000 data points...
[2021-03-14 19:40:28] Test accuracy: 0.1000
[2021-03-14 19:40:28] Score for 1000 labels: 0.1000
[2021-03-14 19:40:28] Running: experiment 1
[2021-03-14 19:40:28] Showing labelled: True (100/5000 visible)
[2021-03-14 19:40:28] mlp: initialized 1482 parameters.
[2021-03-14 19:40:28] Creating trainer with model on device: cuda
[2021-03-14 19:40:28] Training mlp across 100 data points in blobsthin...
[2021-03-14 19:40:28] Training loss: 2.3945
[2021-03-14 19:40:28] Testing on 5000 data points...
[2021-03-14 19:40:28] Test accuracy: 0.0000
[2021-03-14 19:40:28] Score for 100 labels: 0.0000
[2021-03-14 19:40:28] Showing labelled: False (4900/5000 visible)
[2021-03-14 19:40:28] Found 4900 unlabelled features.
[2021-03-14 19:40:28] Showing labelled: True (150/5000 visible)
[2021-03-14 19:40:28] Training mlp across 150 data points in blobsthin...
[2021-03-14 19:40:28] Training loss: 2.3697
[2021-03-14 19:40:28] Testing on 5000 data points...
[2021-03-14 19:40:28] Test accuracy: 0.0000
[2021-03-14 19:40:28] Score for 150 labels: 0.0000
[2021-03-14 19:40:28] Showing labelled: False (4850/5000 visible)
[2021-03-14 19:40:28] Found 4850 unlabelled features.
[2021-03-14 19:40:28] Showing labelled: True (200/5000 visible)
[2021-03-14 19:40:28] Training mlp across 200 data points in blobsthin...
[2021-03-14 19:40:28] Training loss: 2.3497
[2021-03-14 19:40:28] Testing on 5000 data points...
[2021-03-14 19:40:28] Test accuracy: 0.0000
[2021-03-14 19:40:28] Score for 200 labels: 0.0000
[2021-03-14 19:40:28] Showing labelled: False (4800/5000 visible)
[2021-03-14 19:40:28] Found 4800 unlabelled features.
[2021-03-14 19:40:29] Showing labelled: True (250/5000 visible)
[2021-03-14 19:40:29] Training mlp across 250 data points in blobsthin...
[2021-03-14 19:40:29] Training loss: 2.3304
[2021-03-14 19:40:29] Testing on 5000 data points...
[2021-03-14 19:40:29] Test accuracy: 0.0000
[2021-03-14 19:40:29] Score for 250 labels: 0.0000
[2021-03-14 19:40:29] Showing labelled: False (4750/5000 visible)
[2021-03-14 19:40:29] Found 4750 unlabelled features.
[2021-03-14 19:40:29] Showing labelled: True (300/5000 visible)
[2021-03-14 19:40:29] Training mlp across 300 data points in blobsthin...
[2021-03-14 19:40:29] Training loss: 2.3059
[2021-03-14 19:40:29] Testing on 5000 data points...
[2021-03-14 19:40:29] Test accuracy: 0.0004
[2021-03-14 19:40:29] Score for 300 labels: 0.0004
[2021-03-14 19:40:29] Showing labelled: False (4700/5000 visible)
[2021-03-14 19:40:29] Found 4700 unlabelled features.
[2021-03-14 19:40:29] Showing labelled: True (350/5000 visible)
[2021-03-14 19:40:29] Training mlp across 350 data points in blobsthin...
[2021-03-14 19:40:29] Training loss: 2.2763
[2021-03-14 19:40:29] Testing on 5000 data points...
[2021-03-14 19:40:29] Test accuracy: 0.0510
[2021-03-14 19:40:29] Score for 350 labels: 0.0510
[2021-03-14 19:40:29] Showing labelled: False (4650/5000 visible)
[2021-03-14 19:40:29] Found 4650 unlabelled features.
[2021-03-14 19:40:29] Showing labelled: True (400/5000 visible)
[2021-03-14 19:40:29] Training mlp across 400 data points in blobsthin...
[2021-03-14 19:40:30] Training loss: 2.2401
[2021-03-14 19:40:30] Testing on 5000 data points...
[2021-03-14 19:40:30] Test accuracy: 0.0888
[2021-03-14 19:40:30] Score for 400 labels: 0.0888
[2021-03-14 19:40:30] Showing labelled: False (4600/5000 visible)
[2021-03-14 19:40:30] Found 4600 unlabelled features.
[2021-03-14 19:40:30] Showing labelled: True (450/5000 visible)
[2021-03-14 19:40:30] Training mlp across 450 data points in blobsthin...
[2021-03-14 19:40:30] Training loss: 2.1983
[2021-03-14 19:40:30] Testing on 5000 data points...
[2021-03-14 19:40:30] Test accuracy: 0.1260
[2021-03-14 19:40:30] Score for 450 labels: 0.1260
[2021-03-14 19:40:30] Showing labelled: False (4550/5000 visible)
[2021-03-14 19:40:30] Found 4550 unlabelled features.
[2021-03-14 19:40:30] Showing labelled: True (500/5000 visible)
[2021-03-14 19:40:30] Training mlp across 500 data points in blobsthin...
[2021-03-14 19:40:30] Training loss: 2.1543
[2021-03-14 19:40:30] Testing on 5000 data points...
[2021-03-14 19:40:31] Test accuracy: 0.1988
[2021-03-14 19:40:31] Score for 500 labels: 0.1988
[2021-03-14 19:40:31] Showing labelled: False (4500/5000 visible)
[2021-03-14 19:40:31] Found 4500 unlabelled features.
[2021-03-14 19:40:31] Showing labelled: True (550/5000 visible)
[2021-03-14 19:40:31] Training mlp across 550 data points in blobsthin...
[2021-03-14 19:40:31] Training loss: 2.1028
[2021-03-14 19:40:31] Testing on 5000 data points...
[2021-03-14 19:40:31] Test accuracy: 0.1988
[2021-03-14 19:40:31] Score for 550 labels: 0.1988
[2021-03-14 19:40:31] Showing labelled: False (4450/5000 visible)
[2021-03-14 19:40:31] Found 4450 unlabelled features.
[2021-03-14 19:40:31] Showing labelled: True (600/5000 visible)
[2021-03-14 19:40:31] Training mlp across 600 data points in blobsthin...
[2021-03-14 19:40:31] Training loss: 2.0442
[2021-03-14 19:40:31] Testing on 5000 data points...
[2021-03-14 19:40:31] Test accuracy: 0.1990
[2021-03-14 19:40:31] Score for 600 labels: 0.1990
[2021-03-14 19:40:31] Showing labelled: False (4400/5000 visible)
[2021-03-14 19:40:31] Found 4400 unlabelled features.
[2021-03-14 19:40:31] Showing labelled: True (650/5000 visible)
[2021-03-14 19:40:31] Training mlp across 650 data points in blobsthin...
[2021-03-14 19:40:32] Training loss: 1.9747
[2021-03-14 19:40:32] Testing on 5000 data points...
[2021-03-14 19:40:32] Test accuracy: 0.1988
[2021-03-14 19:40:32] Score for 650 labels: 0.1988
[2021-03-14 19:40:32] Showing labelled: False (4350/5000 visible)
[2021-03-14 19:40:32] Found 4350 unlabelled features.
[2021-03-14 19:40:32] Showing labelled: True (700/5000 visible)
[2021-03-14 19:40:32] Training mlp across 700 data points in blobsthin...
[2021-03-14 19:40:32] Training loss: 1.9034
[2021-03-14 19:40:32] Testing on 5000 data points...
[2021-03-14 19:40:32] Test accuracy: 0.1988
[2021-03-14 19:40:32] Score for 700 labels: 0.1988
[2021-03-14 19:40:32] Showing labelled: False (4300/5000 visible)
[2021-03-14 19:40:32] Found 4300 unlabelled features.
[2021-03-14 19:40:32] Showing labelled: True (750/5000 visible)
[2021-03-14 19:40:32] Training mlp across 750 data points in blobsthin...
[2021-03-14 19:40:33] Training loss: 1.8273
[2021-03-14 19:40:33] Testing on 5000 data points...
[2021-03-14 19:40:33] Test accuracy: 0.1988
[2021-03-14 19:40:33] Score for 750 labels: 0.1988
[2021-03-14 19:40:33] Showing labelled: False (4250/5000 visible)
[2021-03-14 19:40:33] Found 4250 unlabelled features.
[2021-03-14 19:40:33] Showing labelled: True (800/5000 visible)
[2021-03-14 19:40:33] Training mlp across 800 data points in blobsthin...
[2021-03-14 19:40:33] Training loss: 1.7731
[2021-03-14 19:40:33] Testing on 5000 data points...
[2021-03-14 19:40:33] Test accuracy: 0.1988
[2021-03-14 19:40:33] Score for 800 labels: 0.1988
[2021-03-14 19:40:33] Showing labelled: False (4200/5000 visible)
[2021-03-14 19:40:33] Found 4200 unlabelled features.
[2021-03-14 19:40:34] Showing labelled: True (850/5000 visible)
[2021-03-14 19:40:34] Training mlp across 850 data points in blobsthin...
[2021-03-14 19:40:34] Training loss: 1.7179
[2021-03-14 19:40:34] Testing on 5000 data points...
[2021-03-14 19:40:34] Test accuracy: 0.1988
[2021-03-14 19:40:34] Score for 850 labels: 0.1988
[2021-03-14 19:40:34] Showing labelled: False (4150/5000 visible)
[2021-03-14 19:40:34] Found 4150 unlabelled features.
[2021-03-14 19:40:34] Showing labelled: True (900/5000 visible)
[2021-03-14 19:40:34] Training mlp across 900 data points in blobsthin...
[2021-03-14 19:40:35] Training loss: 1.6574
[2021-03-14 19:40:35] Testing on 5000 data points...
[2021-03-14 19:40:35] Test accuracy: 0.1990
[2021-03-14 19:40:35] Score for 900 labels: 0.1990
[2021-03-14 19:40:35] Showing labelled: False (4100/5000 visible)
[2021-03-14 19:40:35] Found 4100 unlabelled features.
[2021-03-14 19:40:35] Showing labelled: True (950/5000 visible)
[2021-03-14 19:40:35] Training mlp across 950 data points in blobsthin...
[2021-03-14 19:40:35] Training loss: 1.5889
[2021-03-14 19:40:35] Testing on 5000 data points...
[2021-03-14 19:40:35] Test accuracy: 0.1994
[2021-03-14 19:40:35] Score for 950 labels: 0.1994
[2021-03-14 19:40:35] Showing labelled: False (4050/5000 visible)
[2021-03-14 19:40:35] Found 4050 unlabelled features.
[2021-03-14 19:40:35] Showing labelled: True (1000/5000 visible)
[2021-03-14 19:40:35] Training mlp across 1000 data points in blobsthin...
[2021-03-14 19:40:36] Training loss: 1.5406
[2021-03-14 19:40:36] Testing on 5000 data points...
[2021-03-14 19:40:36] Test accuracy: 0.1994
[2021-03-14 19:40:36] Score for 1000 labels: 0.1994
[2021-03-14 19:40:36] Running: experiment 2
[2021-03-14 19:40:36] Showing labelled: True (100/5000 visible)
[2021-03-14 19:40:36] mlp: initialized 1482 parameters.
[2021-03-14 19:40:36] Creating trainer with model on device: cuda
[2021-03-14 19:40:36] Training mlp across 100 data points in blobsthin...
[2021-03-14 19:40:36] Training loss: 2.4291
[2021-03-14 19:40:36] Testing on 5000 data points...
[2021-03-14 19:40:36] Test accuracy: 0.0548
[2021-03-14 19:40:36] Score for 100 labels: 0.0548
[2021-03-14 19:40:36] Showing labelled: False (4900/5000 visible)
[2021-03-14 19:40:36] Found 4900 unlabelled features.
[2021-03-14 19:40:36] Showing labelled: True (150/5000 visible)
[2021-03-14 19:40:36] Training mlp across 150 data points in blobsthin...
[2021-03-14 19:40:36] Training loss: 2.3844
[2021-03-14 19:40:36] Testing on 5000 data points...
[2021-03-14 19:40:36] Test accuracy: 0.0532
[2021-03-14 19:40:36] Score for 150 labels: 0.0532
[2021-03-14 19:40:36] Showing labelled: False (4850/5000 visible)
[2021-03-14 19:40:36] Found 4850 unlabelled features.
[2021-03-14 19:40:36] Showing labelled: True (200/5000 visible)
[2021-03-14 19:40:36] Training mlp across 200 data points in blobsthin...
[2021-03-14 19:40:37] Training loss: 2.3428
[2021-03-14 19:40:37] Testing on 5000 data points...
[2021-03-14 19:40:37] Test accuracy: 0.0544
[2021-03-14 19:40:37] Score for 200 labels: 0.0544
[2021-03-14 19:40:37] Showing labelled: False (4800/5000 visible)
[2021-03-14 19:40:37] Found 4800 unlabelled features.
[2021-03-14 19:40:37] Showing labelled: True (250/5000 visible)
[2021-03-14 19:40:37] Training mlp across 250 data points in blobsthin...
[2021-03-14 19:40:37] Training loss: 2.3039
[2021-03-14 19:40:37] Testing on 5000 data points...
[2021-03-14 19:40:37] Test accuracy: 0.0622
[2021-03-14 19:40:37] Score for 250 labels: 0.0622
[2021-03-14 19:40:37] Showing labelled: False (4750/5000 visible)
[2021-03-14 19:40:37] Found 4750 unlabelled features.
[2021-03-14 19:40:37] Showing labelled: True (300/5000 visible)
[2021-03-14 19:40:37] Training mlp across 300 data points in blobsthin...
[2021-03-14 19:40:37] Training loss: 2.2840
[2021-03-14 19:40:37] Testing on 5000 data points...
[2021-03-14 19:40:37] Test accuracy: 0.1132
[2021-03-14 19:40:37] Score for 300 labels: 0.1132
[2021-03-14 19:40:37] Showing labelled: False (4700/5000 visible)
[2021-03-14 19:40:37] Found 4700 unlabelled features.
[2021-03-14 19:40:37] Showing labelled: True (350/5000 visible)
[2021-03-14 19:40:37] Training mlp across 350 data points in blobsthin...
[2021-03-14 19:40:37] Training loss: 2.2696
[2021-03-14 19:40:37] Testing on 5000 data points...
[2021-03-14 19:40:38] Test accuracy: 0.1036
[2021-03-14 19:40:38] Score for 350 labels: 0.1036
[2021-03-14 19:40:38] Showing labelled: False (4650/5000 visible)
[2021-03-14 19:40:38] Found 4650 unlabelled features.
[2021-03-14 19:40:38] Showing labelled: True (400/5000 visible)
[2021-03-14 19:40:38] Training mlp across 400 data points in blobsthin...
[2021-03-14 19:40:38] Training loss: 2.2536
[2021-03-14 19:40:38] Testing on 5000 data points...
[2021-03-14 19:40:38] Test accuracy: 0.1000
[2021-03-14 19:40:38] Score for 400 labels: 0.1000
[2021-03-14 19:40:38] Showing labelled: False (4600/5000 visible)
[2021-03-14 19:40:38] Found 4600 unlabelled features.
[2021-03-14 19:40:38] Showing labelled: True (450/5000 visible)
[2021-03-14 19:40:38] Training mlp across 450 data points in blobsthin...
[2021-03-14 19:40:38] Training loss: 2.2447
[2021-03-14 19:40:38] Testing on 5000 data points...
[2021-03-14 19:40:38] Test accuracy: 0.1000
[2021-03-14 19:40:38] Score for 450 labels: 0.1000
[2021-03-14 19:40:38] Showing labelled: False (4550/5000 visible)
[2021-03-14 19:40:38] Found 4550 unlabelled features.
[2021-03-14 19:40:38] Showing labelled: True (500/5000 visible)
[2021-03-14 19:40:38] Training mlp across 500 data points in blobsthin...
[2021-03-14 19:40:39] Training loss: 2.2322
[2021-03-14 19:40:39] Testing on 5000 data points...
[2021-03-14 19:40:39] Test accuracy: 0.1000
[2021-03-14 19:40:39] Score for 500 labels: 0.1000
[2021-03-14 19:40:39] Showing labelled: False (4500/5000 visible)
[2021-03-14 19:40:39] Found 4500 unlabelled features.
[2021-03-14 19:40:39] Showing labelled: True (550/5000 visible)
[2021-03-14 19:40:39] Training mlp across 550 data points in blobsthin...
[2021-03-14 19:40:39] Training loss: 2.2046
[2021-03-14 19:40:39] Testing on 5000 data points...
[2021-03-14 19:40:39] Test accuracy: 0.1000
[2021-03-14 19:40:39] Score for 550 labels: 0.1000
[2021-03-14 19:40:39] Showing labelled: False (4450/5000 visible)
[2021-03-14 19:40:39] Found 4450 unlabelled features.
[2021-03-14 19:40:39] Showing labelled: True (600/5000 visible)
[2021-03-14 19:40:39] Training mlp across 600 data points in blobsthin...
[2021-03-14 19:40:39] Training loss: 2.1717
[2021-03-14 19:40:39] Testing on 5000 data points...
[2021-03-14 19:40:39] Test accuracy: 0.1000
[2021-03-14 19:40:39] Score for 600 labels: 0.1000
[2021-03-14 19:40:39] Showing labelled: False (4400/5000 visible)
[2021-03-14 19:40:39] Found 4400 unlabelled features.
[2021-03-14 19:40:40] Showing labelled: True (650/5000 visible)
[2021-03-14 19:40:40] Training mlp across 650 data points in blobsthin...
[2021-03-14 19:40:40] Training loss: 2.1485
[2021-03-14 19:40:40] Testing on 5000 data points...
[2021-03-14 19:40:40] Test accuracy: 0.1000
[2021-03-14 19:40:40] Score for 650 labels: 0.1000
[2021-03-14 19:40:40] Showing labelled: False (4350/5000 visible)
[2021-03-14 19:40:40] Found 4350 unlabelled features.
[2021-03-14 19:40:40] Showing labelled: True (700/5000 visible)
[2021-03-14 19:40:40] Training mlp across 700 data points in blobsthin...
[2021-03-14 19:40:40] Training loss: 2.1392
[2021-03-14 19:40:40] Testing on 5000 data points...
[2021-03-14 19:40:40] Test accuracy: 0.1000
[2021-03-14 19:40:40] Score for 700 labels: 0.1000
[2021-03-14 19:40:40] Showing labelled: False (4300/5000 visible)
[2021-03-14 19:40:40] Found 4300 unlabelled features.
[2021-03-14 19:40:40] Showing labelled: True (750/5000 visible)
[2021-03-14 19:40:40] Training mlp across 750 data points in blobsthin...
[2021-03-14 19:40:41] Training loss: 2.1229
[2021-03-14 19:40:41] Testing on 5000 data points...
[2021-03-14 19:40:41] Test accuracy: 0.1000
[2021-03-14 19:40:41] Score for 750 labels: 0.1000
[2021-03-14 19:40:41] Showing labelled: False (4250/5000 visible)
[2021-03-14 19:40:41] Found 4250 unlabelled features.
[2021-03-14 19:40:41] Showing labelled: True (800/5000 visible)
[2021-03-14 19:40:41] Training mlp across 800 data points in blobsthin...
[2021-03-14 19:40:41] Training loss: 2.0956
[2021-03-14 19:40:41] Testing on 5000 data points...
[2021-03-14 19:40:42] Test accuracy: 0.1000
[2021-03-14 19:40:42] Score for 800 labels: 0.1000
[2021-03-14 19:40:42] Showing labelled: False (4200/5000 visible)
[2021-03-14 19:40:42] Found 4200 unlabelled features.
[2021-03-14 19:40:42] Showing labelled: True (850/5000 visible)
[2021-03-14 19:40:42] Training mlp across 850 data points in blobsthin...
[2021-03-14 19:40:42] Training loss: 2.0484
[2021-03-14 19:40:42] Testing on 5000 data points...
[2021-03-14 19:40:42] Test accuracy: 0.1000
[2021-03-14 19:40:42] Score for 850 labels: 0.1000
[2021-03-14 19:40:42] Showing labelled: False (4150/5000 visible)
[2021-03-14 19:40:42] Found 4150 unlabelled features.
[2021-03-14 19:40:42] Showing labelled: True (900/5000 visible)
[2021-03-14 19:40:42] Training mlp across 900 data points in blobsthin...
[2021-03-14 19:40:43] Training loss: 1.9896
[2021-03-14 19:40:43] Testing on 5000 data points...
[2021-03-14 19:40:43] Test accuracy: 0.1040
[2021-03-14 19:40:43] Score for 900 labels: 0.1040
[2021-03-14 19:40:43] Showing labelled: False (4100/5000 visible)
[2021-03-14 19:40:43] Found 4100 unlabelled features.
[2021-03-14 19:40:43] Showing labelled: True (950/5000 visible)
[2021-03-14 19:40:43] Training mlp across 950 data points in blobsthin...
[2021-03-14 19:40:43] Training loss: 1.9321
[2021-03-14 19:40:43] Testing on 5000 data points...
[2021-03-14 19:40:43] Test accuracy: 0.1286
[2021-03-14 19:40:43] Score for 950 labels: 0.1286
[2021-03-14 19:40:43] Showing labelled: False (4050/5000 visible)
[2021-03-14 19:40:43] Found 4050 unlabelled features.
[2021-03-14 19:40:43] Showing labelled: True (1000/5000 visible)
[2021-03-14 19:40:43] Training mlp across 1000 data points in blobsthin...
[2021-03-14 19:40:44] Training loss: 1.8756
[2021-03-14 19:40:44] Testing on 5000 data points...
[2021-03-14 19:40:44] Test accuracy: 0.1498
[2021-03-14 19:40:44] Score for 1000 labels: 0.1498
[2021-03-14 19:40:44] Running: experiment 3
[2021-03-14 19:40:44] Showing labelled: True (100/5000 visible)
[2021-03-14 19:40:44] mlp: initialized 1482 parameters.
[2021-03-14 19:40:44] Creating trainer with model on device: cuda
[2021-03-14 19:40:44] Training mlp across 100 data points in blobsthin...
[2021-03-14 19:40:44] Training loss: 2.4902
[2021-03-14 19:40:44] Testing on 5000 data points...
[2021-03-14 19:40:44] Test accuracy: 0.0262
[2021-03-14 19:40:44] Score for 100 labels: 0.0262
[2021-03-14 19:40:44] Showing labelled: False (4900/5000 visible)
[2021-03-14 19:40:44] Found 4900 unlabelled features.
[2021-03-14 19:40:45] Showing labelled: True (150/5000 visible)
[2021-03-14 19:40:45] Training mlp across 150 data points in blobsthin...
[2021-03-14 19:40:45] Training loss: 2.4636
[2021-03-14 19:40:45] Testing on 5000 data points...
[2021-03-14 19:40:45] Test accuracy: 0.0346
[2021-03-14 19:40:45] Score for 150 labels: 0.0346
[2021-03-14 19:40:45] Showing labelled: False (4850/5000 visible)
[2021-03-14 19:40:45] Found 4850 unlabelled features.
[2021-03-14 19:40:46] Showing labelled: True (200/5000 visible)
[2021-03-14 19:40:46] Training mlp across 200 data points in blobsthin...
[2021-03-14 19:40:46] Training loss: 2.4337
[2021-03-14 19:40:46] Testing on 5000 data points...
[2021-03-14 19:40:46] Test accuracy: 0.0518
[2021-03-14 19:40:46] Score for 200 labels: 0.0518
[2021-03-14 19:40:46] Showing labelled: False (4800/5000 visible)
[2021-03-14 19:40:46] Found 4800 unlabelled features.
[2021-03-14 19:40:47] Showing labelled: True (250/5000 visible)
[2021-03-14 19:40:47] Training mlp across 250 data points in blobsthin...
[2021-03-14 19:40:47] Training loss: 2.4124
[2021-03-14 19:40:47] Testing on 5000 data points...
[2021-03-14 19:40:47] Test accuracy: 0.0710
[2021-03-14 19:40:47] Score for 250 labels: 0.0710
[2021-03-14 19:40:47] Showing labelled: False (4750/5000 visible)
[2021-03-14 19:40:47] Found 4750 unlabelled features.
[2021-03-14 19:40:48] Showing labelled: True (300/5000 visible)
[2021-03-14 19:40:48] Training mlp across 300 data points in blobsthin...
[2021-03-14 19:40:49] Training loss: 2.3820
[2021-03-14 19:40:49] Testing on 5000 data points...
[2021-03-14 19:40:49] Test accuracy: 0.0956
[2021-03-14 19:40:49] Score for 300 labels: 0.0956
[2021-03-14 19:40:49] Showing labelled: False (4700/5000 visible)
[2021-03-14 19:40:49] Found 4700 unlabelled features.
[2021-03-14 19:40:50] Showing labelled: True (350/5000 visible)
[2021-03-14 19:40:50] Training mlp across 350 data points in blobsthin...
[2021-03-14 19:40:50] Training loss: 2.3454
[2021-03-14 19:40:50] Testing on 5000 data points...
[2021-03-14 19:40:50] Test accuracy: 0.1118
[2021-03-14 19:40:50] Score for 350 labels: 0.1118
[2021-03-14 19:40:50] Showing labelled: False (4650/5000 visible)
[2021-03-14 19:40:50] Found 4650 unlabelled features.
[2021-03-14 19:40:51] Showing labelled: True (400/5000 visible)
[2021-03-14 19:40:51] Training mlp across 400 data points in blobsthin...
[2021-03-14 19:40:51] Training loss: 2.2980
[2021-03-14 19:40:51] Testing on 5000 data points...
[2021-03-14 19:40:51] Test accuracy: 0.1368
[2021-03-14 19:40:51] Score for 400 labels: 0.1368
[2021-03-14 19:40:51] Showing labelled: False (4600/5000 visible)
[2021-03-14 19:40:51] Found 4600 unlabelled features.
[2021-03-14 19:40:53] Showing labelled: True (450/5000 visible)
[2021-03-14 19:40:53] Training mlp across 450 data points in blobsthin...
[2021-03-14 19:40:53] Training loss: 2.2473
[2021-03-14 19:40:53] Testing on 5000 data points...
[2021-03-14 19:40:53] Test accuracy: 0.1890
[2021-03-14 19:40:53] Score for 450 labels: 0.1890
[2021-03-14 19:40:53] Showing labelled: False (4550/5000 visible)
[2021-03-14 19:40:53] Found 4550 unlabelled features.
[2021-03-14 19:40:55] Showing labelled: True (500/5000 visible)
[2021-03-14 19:40:55] Training mlp across 500 data points in blobsthin...
[2021-03-14 19:40:55] Training loss: 2.1990
[2021-03-14 19:40:55] Testing on 5000 data points...
[2021-03-14 19:40:55] Test accuracy: 0.1892
[2021-03-14 19:40:55] Score for 500 labels: 0.1892
[2021-03-14 19:40:55] Showing labelled: False (4500/5000 visible)
[2021-03-14 19:40:55] Found 4500 unlabelled features.
[2021-03-14 19:40:57] Showing labelled: True (550/5000 visible)
[2021-03-14 19:40:57] Training mlp across 550 data points in blobsthin...
[2021-03-14 19:40:57] Training loss: 2.1462
[2021-03-14 19:40:57] Testing on 5000 data points...
[2021-03-14 19:40:57] Test accuracy: 0.1970
[2021-03-14 19:40:57] Score for 550 labels: 0.1970
[2021-03-14 19:40:57] Showing labelled: False (4450/5000 visible)
[2021-03-14 19:40:57] Found 4450 unlabelled features.
[2021-03-14 19:40:59] Showing labelled: True (600/5000 visible)
[2021-03-14 19:40:59] Training mlp across 600 data points in blobsthin...
[2021-03-14 19:40:59] Training loss: 2.0854
[2021-03-14 19:40:59] Testing on 5000 data points...
[2021-03-14 19:40:59] Test accuracy: 0.1996
[2021-03-14 19:40:59] Score for 600 labels: 0.1996
[2021-03-14 19:40:59] Showing labelled: False (4400/5000 visible)
[2021-03-14 19:40:59] Found 4400 unlabelled features.
[2021-03-14 19:41:01] Showing labelled: True (650/5000 visible)
[2021-03-14 19:41:01] Training mlp across 650 data points in blobsthin...
[2021-03-14 19:41:02] Training loss: 2.0236
[2021-03-14 19:41:02] Testing on 5000 data points...
[2021-03-14 19:41:02] Test accuracy: 0.1998
[2021-03-14 19:41:02] Score for 650 labels: 0.1998
[2021-03-14 19:41:02] Showing labelled: False (4350/5000 visible)
[2021-03-14 19:41:02] Found 4350 unlabelled features.
[2021-03-14 19:41:04] Showing labelled: True (700/5000 visible)
[2021-03-14 19:41:04] Training mlp across 700 data points in blobsthin...
[2021-03-14 19:41:04] Training loss: 1.9521
[2021-03-14 19:41:04] Testing on 5000 data points...
[2021-03-14 19:41:04] Test accuracy: 0.2062
[2021-03-14 19:41:04] Score for 700 labels: 0.2062
[2021-03-14 19:41:04] Showing labelled: False (4300/5000 visible)
[2021-03-14 19:41:04] Found 4300 unlabelled features.
[2021-03-14 19:41:06] Showing labelled: True (750/5000 visible)
[2021-03-14 19:41:06] Training mlp across 750 data points in blobsthin...
[2021-03-14 19:41:06] Training loss: 1.8822
[2021-03-14 19:41:06] Testing on 5000 data points...
[2021-03-14 19:41:06] Test accuracy: 0.2848
[2021-03-14 19:41:06] Score for 750 labels: 0.2848
[2021-03-14 19:41:06] Showing labelled: False (4250/5000 visible)
[2021-03-14 19:41:06] Found 4250 unlabelled features.
[2021-03-14 19:41:08] Showing labelled: True (800/5000 visible)
[2021-03-14 19:41:08] Training mlp across 800 data points in blobsthin...
[2021-03-14 19:41:09] Training loss: 1.8127
[2021-03-14 19:41:09] Testing on 5000 data points...
[2021-03-14 19:41:09] Test accuracy: 0.2296
[2021-03-14 19:41:09] Score for 800 labels: 0.2296
[2021-03-14 19:41:09] Showing labelled: False (4200/5000 visible)
[2021-03-14 19:41:09] Found 4200 unlabelled features.
[2021-03-14 19:41:10] Showing labelled: True (850/5000 visible)
[2021-03-14 19:41:10] Training mlp across 850 data points in blobsthin...
[2021-03-14 19:41:11] Training loss: 1.7369
[2021-03-14 19:41:11] Testing on 5000 data points...
[2021-03-14 19:41:11] Test accuracy: 0.1910
[2021-03-14 19:41:11] Score for 850 labels: 0.1910
[2021-03-14 19:41:11] Showing labelled: False (4150/5000 visible)
[2021-03-14 19:41:11] Found 4150 unlabelled features.
[2021-03-14 19:41:13] Showing labelled: True (900/5000 visible)
[2021-03-14 19:41:13] Training mlp across 900 data points in blobsthin...
[2021-03-14 19:41:13] Training loss: 1.6626
[2021-03-14 19:41:13] Testing on 5000 data points...
[2021-03-14 19:41:13] Test accuracy: 0.1946
[2021-03-14 19:41:13] Score for 900 labels: 0.1946
[2021-03-14 19:41:13] Showing labelled: False (4100/5000 visible)
[2021-03-14 19:41:13] Found 4100 unlabelled features.
[2021-03-14 19:41:14] Showing labelled: True (950/5000 visible)
[2021-03-14 19:41:14] Training mlp across 950 data points in blobsthin...
[2021-03-14 19:41:15] Training loss: 1.6009
[2021-03-14 19:41:15] Testing on 5000 data points...
[2021-03-14 19:41:15] Test accuracy: 0.1976
[2021-03-14 19:41:15] Score for 950 labels: 0.1976
[2021-03-14 19:41:15] Showing labelled: False (4050/5000 visible)
[2021-03-14 19:41:15] Found 4050 unlabelled features.
[2021-03-14 19:41:17] Showing labelled: True (1000/5000 visible)
[2021-03-14 19:41:17] Training mlp across 1000 data points in blobsthin...
[2021-03-14 19:41:18] Training loss: 1.5419
[2021-03-14 19:41:18] Testing on 5000 data points...
[2021-03-14 19:41:18] Test accuracy: 0.1994
[2021-03-14 19:41:18] Score for 1000 labels: 0.1994
[2021-03-14 19:41:18] Experiment repeat 2/3
[2021-03-14 19:41:18] Randomly labelled 100/5000
[2021-03-14 19:41:18] Showing labelled: True (100/5000 visible)
[2021-03-14 19:41:18] Running: experiment 0
[2021-03-14 19:41:18] Showing labelled: True (100/5000 visible)
[2021-03-14 19:41:18] mlp: initialized 1482 parameters.
[2021-03-14 19:41:18] Creating trainer with model on device: cuda
[2021-03-14 19:41:18] Training mlp across 100 data points in blobsthin...
[2021-03-14 19:41:18] Training loss: 2.5659
[2021-03-14 19:41:18] Testing on 5000 data points...
[2021-03-14 19:41:18] Test accuracy: 0.1590
[2021-03-14 19:41:18] Score for 100 labels: 0.1590
[2021-03-14 19:41:18] Showing labelled: False (4900/5000 visible)
[2021-03-14 19:41:18] Found 4900 unlabelled features.
[2021-03-14 19:41:18] Showing labelled: True (150/5000 visible)
[2021-03-14 19:41:18] Training mlp across 150 data points in blobsthin...
[2021-03-14 19:41:18] Training loss: 2.4989
[2021-03-14 19:41:18] Testing on 5000 data points...
[2021-03-14 19:41:18] Test accuracy: 0.1606
[2021-03-14 19:41:18] Score for 150 labels: 0.1606
[2021-03-14 19:41:18] Showing labelled: False (4850/5000 visible)
[2021-03-14 19:41:18] Found 4850 unlabelled features.
[2021-03-14 19:41:18] Showing labelled: True (200/5000 visible)
[2021-03-14 19:41:18] Training mlp across 200 data points in blobsthin...
[2021-03-14 19:41:18] Training loss: 2.4816
[2021-03-14 19:41:18] Testing on 5000 data points...
[2021-03-14 19:41:18] Test accuracy: 0.1636
[2021-03-14 19:41:18] Score for 200 labels: 0.1636
[2021-03-14 19:41:18] Showing labelled: False (4800/5000 visible)
[2021-03-14 19:41:18] Found 4800 unlabelled features.
[2021-03-14 19:41:18] Showing labelled: True (250/5000 visible)
[2021-03-14 19:41:18] Training mlp across 250 data points in blobsthin...
[2021-03-14 19:41:18] Training loss: 2.4645
[2021-03-14 19:41:18] Testing on 5000 data points...
[2021-03-14 19:41:19] Test accuracy: 0.1738
[2021-03-14 19:41:19] Score for 250 labels: 0.1738
[2021-03-14 19:41:19] Showing labelled: False (4750/5000 visible)
[2021-03-14 19:41:19] Found 4750 unlabelled features.
[2021-03-14 19:41:19] Showing labelled: True (300/5000 visible)
[2021-03-14 19:41:19] Training mlp across 300 data points in blobsthin...
[2021-03-14 19:41:19] Training loss: 2.4423
[2021-03-14 19:41:19] Testing on 5000 data points...
[2021-03-14 19:41:19] Test accuracy: 0.1846
[2021-03-14 19:41:19] Score for 300 labels: 0.1846
[2021-03-14 19:41:19] Showing labelled: False (4700/5000 visible)
[2021-03-14 19:41:19] Found 4700 unlabelled features.
[2021-03-14 19:41:19] Showing labelled: True (350/5000 visible)
[2021-03-14 19:41:19] Training mlp across 350 data points in blobsthin...
[2021-03-14 19:41:19] Training loss: 2.4057
[2021-03-14 19:41:19] Testing on 5000 data points...
[2021-03-14 19:41:19] Test accuracy: 0.1914
[2021-03-14 19:41:19] Score for 350 labels: 0.1914
[2021-03-14 19:41:19] Showing labelled: False (4650/5000 visible)
[2021-03-14 19:41:19] Found 4650 unlabelled features.
[2021-03-14 19:41:19] Showing labelled: True (400/5000 visible)
[2021-03-14 19:41:19] Training mlp across 400 data points in blobsthin...
[2021-03-14 19:41:19] Training loss: 2.3769
[2021-03-14 19:41:19] Testing on 5000 data points...
[2021-03-14 19:41:19] Test accuracy: 0.1962
[2021-03-14 19:41:19] Score for 400 labels: 0.1962
[2021-03-14 19:41:19] Showing labelled: False (4600/5000 visible)
[2021-03-14 19:41:19] Found 4600 unlabelled features.
[2021-03-14 19:41:19] Showing labelled: True (450/5000 visible)
[2021-03-14 19:41:19] Training mlp across 450 data points in blobsthin...
[2021-03-14 19:41:20] Training loss: 2.3451
[2021-03-14 19:41:20] Testing on 5000 data points...
[2021-03-14 19:41:20] Test accuracy: 0.1976
[2021-03-14 19:41:20] Score for 450 labels: 0.1976
[2021-03-14 19:41:20] Showing labelled: False (4550/5000 visible)
[2021-03-14 19:41:20] Found 4550 unlabelled features.
[2021-03-14 19:41:20] Showing labelled: True (500/5000 visible)
[2021-03-14 19:41:20] Training mlp across 500 data points in blobsthin...
[2021-03-14 19:41:20] Training loss: 2.3059
[2021-03-14 19:41:20] Testing on 5000 data points...
[2021-03-14 19:41:20] Test accuracy: 0.1970
[2021-03-14 19:41:20] Score for 500 labels: 0.1970
[2021-03-14 19:41:20] Showing labelled: False (4500/5000 visible)
[2021-03-14 19:41:20] Found 4500 unlabelled features.
[2021-03-14 19:41:20] Showing labelled: True (550/5000 visible)
[2021-03-14 19:41:20] Training mlp across 550 data points in blobsthin...
[2021-03-14 19:41:21] Training loss: 2.2669
[2021-03-14 19:41:21] Testing on 5000 data points...
[2021-03-14 19:41:21] Test accuracy: 0.1856
[2021-03-14 19:41:21] Score for 550 labels: 0.1856
[2021-03-14 19:41:21] Showing labelled: False (4450/5000 visible)
[2021-03-14 19:41:21] Found 4450 unlabelled features.
[2021-03-14 19:41:21] Showing labelled: True (600/5000 visible)
[2021-03-14 19:41:21] Training mlp across 600 data points in blobsthin...
[2021-03-14 19:41:21] Training loss: 2.2237
[2021-03-14 19:41:21] Testing on 5000 data points...
[2021-03-14 19:41:21] Test accuracy: 0.1682
[2021-03-14 19:41:21] Score for 600 labels: 0.1682
[2021-03-14 19:41:21] Showing labelled: False (4400/5000 visible)
[2021-03-14 19:41:21] Found 4400 unlabelled features.
[2021-03-14 19:41:21] Showing labelled: True (650/5000 visible)
[2021-03-14 19:41:21] Training mlp across 650 data points in blobsthin...
[2021-03-14 19:41:21] Training loss: 2.1739
[2021-03-14 19:41:21] Testing on 5000 data points...
[2021-03-14 19:41:21] Test accuracy: 0.1532
[2021-03-14 19:41:21] Score for 650 labels: 0.1532
[2021-03-14 19:41:21] Showing labelled: False (4350/5000 visible)
[2021-03-14 19:41:21] Found 4350 unlabelled features.
[2021-03-14 19:41:21] Showing labelled: True (700/5000 visible)
[2021-03-14 19:41:21] Training mlp across 700 data points in blobsthin...
[2021-03-14 19:41:22] Training loss: 2.1257
[2021-03-14 19:41:22] Testing on 5000 data points...
[2021-03-14 19:41:22] Test accuracy: 0.2302
[2021-03-14 19:41:22] Score for 700 labels: 0.2302
[2021-03-14 19:41:22] Showing labelled: False (4300/5000 visible)
[2021-03-14 19:41:22] Found 4300 unlabelled features.
[2021-03-14 19:41:22] Showing labelled: True (750/5000 visible)
[2021-03-14 19:41:22] Training mlp across 750 data points in blobsthin...
[2021-03-14 19:41:22] Training loss: 2.0754
[2021-03-14 19:41:22] Testing on 5000 data points...
[2021-03-14 19:41:22] Test accuracy: 0.2504
[2021-03-14 19:41:22] Score for 750 labels: 0.2504
[2021-03-14 19:41:22] Showing labelled: False (4250/5000 visible)
[2021-03-14 19:41:22] Found 4250 unlabelled features.
[2021-03-14 19:41:22] Showing labelled: True (800/5000 visible)
[2021-03-14 19:41:22] Training mlp across 800 data points in blobsthin...
[2021-03-14 19:41:23] Training loss: 2.0227
[2021-03-14 19:41:23] Testing on 5000 data points...
[2021-03-14 19:41:23] Test accuracy: 0.2814
[2021-03-14 19:41:23] Score for 800 labels: 0.2814
[2021-03-14 19:41:23] Showing labelled: False (4200/5000 visible)
[2021-03-14 19:41:23] Found 4200 unlabelled features.
[2021-03-14 19:41:23] Showing labelled: True (850/5000 visible)
[2021-03-14 19:41:23] Training mlp across 850 data points in blobsthin...
[2021-03-14 19:41:23] Training loss: 1.9663
[2021-03-14 19:41:23] Testing on 5000 data points...
[2021-03-14 19:41:24] Test accuracy: 0.2270
[2021-03-14 19:41:24] Score for 850 labels: 0.2270
[2021-03-14 19:41:24] Showing labelled: False (4150/5000 visible)
[2021-03-14 19:41:24] Found 4150 unlabelled features.
[2021-03-14 19:41:24] Showing labelled: True (900/5000 visible)
[2021-03-14 19:41:24] Training mlp across 900 data points in blobsthin...
[2021-03-14 19:41:24] Training loss: 1.9062
[2021-03-14 19:41:24] Testing on 5000 data points...
[2021-03-14 19:41:24] Test accuracy: 0.2314
[2021-03-14 19:41:24] Score for 900 labels: 0.2314
[2021-03-14 19:41:24] Showing labelled: False (4100/5000 visible)
[2021-03-14 19:41:24] Found 4100 unlabelled features.
[2021-03-14 19:41:24] Showing labelled: True (950/5000 visible)
[2021-03-14 19:41:24] Training mlp across 950 data points in blobsthin...
[2021-03-14 19:41:25] Training loss: 1.8503
[2021-03-14 19:41:25] Testing on 5000 data points...
[2021-03-14 19:41:25] Test accuracy: 0.2320
[2021-03-14 19:41:25] Score for 950 labels: 0.2320
[2021-03-14 19:41:25] Showing labelled: False (4050/5000 visible)
[2021-03-14 19:41:25] Found 4050 unlabelled features.
[2021-03-14 19:41:25] Showing labelled: True (1000/5000 visible)
[2021-03-14 19:41:25] Training mlp across 1000 data points in blobsthin...
[2021-03-14 19:41:25] Training loss: 1.7915
[2021-03-14 19:41:25] Testing on 5000 data points...
[2021-03-14 19:41:25] Test accuracy: 0.2186
[2021-03-14 19:41:25] Score for 1000 labels: 0.2186
[2021-03-14 19:41:25] Running: experiment 1
[2021-03-14 19:41:25] Showing labelled: True (100/5000 visible)
[2021-03-14 19:41:25] mlp: initialized 1482 parameters.
[2021-03-14 19:41:25] Creating trainer with model on device: cuda
[2021-03-14 19:41:25] Training mlp across 100 data points in blobsthin...
[2021-03-14 19:41:25] Training loss: 2.0790
[2021-03-14 19:41:25] Testing on 5000 data points...
[2021-03-14 19:41:25] Test accuracy: 0.1980
[2021-03-14 19:41:25] Score for 100 labels: 0.1980
[2021-03-14 19:41:25] Showing labelled: False (4900/5000 visible)
[2021-03-14 19:41:25] Found 4900 unlabelled features.
[2021-03-14 19:41:26] Showing labelled: True (150/5000 visible)
[2021-03-14 19:41:26] Training mlp across 150 data points in blobsthin...
[2021-03-14 19:41:26] Training loss: 2.1486
[2021-03-14 19:41:26] Testing on 5000 data points...
[2021-03-14 19:41:26] Test accuracy: 0.1992
[2021-03-14 19:41:26] Score for 150 labels: 0.1992
[2021-03-14 19:41:26] Showing labelled: False (4850/5000 visible)
[2021-03-14 19:41:26] Found 4850 unlabelled features.
[2021-03-14 19:41:26] Showing labelled: True (200/5000 visible)
[2021-03-14 19:41:26] Training mlp across 200 data points in blobsthin...
[2021-03-14 19:41:26] Training loss: 2.1810
[2021-03-14 19:41:26] Testing on 5000 data points...
[2021-03-14 19:41:26] Test accuracy: 0.1978
[2021-03-14 19:41:26] Score for 200 labels: 0.1978
[2021-03-14 19:41:26] Showing labelled: False (4800/5000 visible)
[2021-03-14 19:41:26] Found 4800 unlabelled features.
[2021-03-14 19:41:26] Showing labelled: True (250/5000 visible)
[2021-03-14 19:41:26] Training mlp across 250 data points in blobsthin...
[2021-03-14 19:41:26] Training loss: 2.1962
[2021-03-14 19:41:26] Testing on 5000 data points...
[2021-03-14 19:41:26] Test accuracy: 0.1976
[2021-03-14 19:41:26] Score for 250 labels: 0.1976
[2021-03-14 19:41:26] Showing labelled: False (4750/5000 visible)
[2021-03-14 19:41:26] Found 4750 unlabelled features.
[2021-03-14 19:41:26] Showing labelled: True (300/5000 visible)
[2021-03-14 19:41:26] Training mlp across 300 data points in blobsthin...
[2021-03-14 19:41:26] Training loss: 2.2007
[2021-03-14 19:41:26] Testing on 5000 data points...
[2021-03-14 19:41:26] Test accuracy: 0.1954
[2021-03-14 19:41:26] Score for 300 labels: 0.1954
[2021-03-14 19:41:26] Showing labelled: False (4700/5000 visible)
[2021-03-14 19:41:26] Found 4700 unlabelled features.
[2021-03-14 19:41:26] Showing labelled: True (350/5000 visible)
[2021-03-14 19:41:26] Training mlp across 350 data points in blobsthin...
[2021-03-14 19:41:27] Training loss: 2.1984
[2021-03-14 19:41:27] Testing on 5000 data points...
[2021-03-14 19:41:27] Test accuracy: 0.1936
[2021-03-14 19:41:27] Score for 350 labels: 0.1936
[2021-03-14 19:41:27] Showing labelled: False (4650/5000 visible)
[2021-03-14 19:41:27] Found 4650 unlabelled features.
[2021-03-14 19:41:27] Showing labelled: True (400/5000 visible)
[2021-03-14 19:41:27] Training mlp across 400 data points in blobsthin...
[2021-03-14 19:41:27] Training loss: 2.1935
[2021-03-14 19:41:27] Testing on 5000 data points...
[2021-03-14 19:41:27] Test accuracy: 0.1890
[2021-03-14 19:41:27] Score for 400 labels: 0.1890
[2021-03-14 19:41:27] Showing labelled: False (4600/5000 visible)
[2021-03-14 19:41:27] Found 4600 unlabelled features.
[2021-03-14 19:41:27] Showing labelled: True (450/5000 visible)
[2021-03-14 19:41:27] Training mlp across 450 data points in blobsthin...
[2021-03-14 19:41:27] Training loss: 2.1851
[2021-03-14 19:41:27] Testing on 5000 data points...
[2021-03-14 19:41:27] Test accuracy: 0.1832
[2021-03-14 19:41:27] Score for 450 labels: 0.1832
[2021-03-14 19:41:27] Showing labelled: False (4550/5000 visible)
[2021-03-14 19:41:27] Found 4550 unlabelled features.
[2021-03-14 19:41:28] Showing labelled: True (500/5000 visible)
[2021-03-14 19:41:28] Training mlp across 500 data points in blobsthin...
[2021-03-14 19:41:28] Training loss: 2.1727
[2021-03-14 19:41:28] Testing on 5000 data points...
[2021-03-14 19:41:28] Test accuracy: 0.1774
[2021-03-14 19:41:28] Score for 500 labels: 0.1774
[2021-03-14 19:41:28] Showing labelled: False (4500/5000 visible)
[2021-03-14 19:41:28] Found 4500 unlabelled features.
[2021-03-14 19:41:28] Showing labelled: True (550/5000 visible)
[2021-03-14 19:41:28] Training mlp across 550 data points in blobsthin...
[2021-03-14 19:41:28] Training loss: 2.1587
[2021-03-14 19:41:28] Testing on 5000 data points...
[2021-03-14 19:41:28] Test accuracy: 0.1676
[2021-03-14 19:41:28] Score for 550 labels: 0.1676
[2021-03-14 19:41:28] Showing labelled: False (4450/5000 visible)
[2021-03-14 19:41:28] Found 4450 unlabelled features.
[2021-03-14 19:41:28] Showing labelled: True (600/5000 visible)
[2021-03-14 19:41:28] Training mlp across 600 data points in blobsthin...
[2021-03-14 19:41:29] Training loss: 2.1417
[2021-03-14 19:41:29] Testing on 5000 data points...
[2021-03-14 19:41:29] Test accuracy: 0.1882
[2021-03-14 19:41:29] Score for 600 labels: 0.1882
[2021-03-14 19:41:29] Showing labelled: False (4400/5000 visible)
[2021-03-14 19:41:29] Found 4400 unlabelled features.
[2021-03-14 19:41:29] Showing labelled: True (650/5000 visible)
[2021-03-14 19:41:29] Training mlp across 650 data points in blobsthin...
[2021-03-14 19:41:29] Training loss: 2.1228
[2021-03-14 19:41:29] Testing on 5000 data points...
[2021-03-14 19:41:29] Test accuracy: 0.2348
[2021-03-14 19:41:29] Score for 650 labels: 0.2348
[2021-03-14 19:41:29] Showing labelled: False (4350/5000 visible)
[2021-03-14 19:41:29] Found 4350 unlabelled features.
[2021-03-14 19:41:29] Showing labelled: True (700/5000 visible)
[2021-03-14 19:41:29] Training mlp across 700 data points in blobsthin...
[2021-03-14 19:41:30] Training loss: 2.0998
[2021-03-14 19:41:30] Testing on 5000 data points...
[2021-03-14 19:41:30] Test accuracy: 0.2378
[2021-03-14 19:41:30] Score for 700 labels: 0.2378
[2021-03-14 19:41:30] Showing labelled: False (4300/5000 visible)
[2021-03-14 19:41:30] Found 4300 unlabelled features.
[2021-03-14 19:41:30] Showing labelled: True (750/5000 visible)
[2021-03-14 19:41:30] Training mlp across 750 data points in blobsthin...
[2021-03-14 19:41:30] Training loss: 2.0772
[2021-03-14 19:41:30] Testing on 5000 data points...
[2021-03-14 19:41:30] Test accuracy: 0.2088
[2021-03-14 19:41:30] Score for 750 labels: 0.2088
[2021-03-14 19:41:30] Showing labelled: False (4250/5000 visible)
[2021-03-14 19:41:30] Found 4250 unlabelled features.
[2021-03-14 19:41:30] Showing labelled: True (800/5000 visible)
[2021-03-14 19:41:30] Training mlp across 800 data points in blobsthin...
[2021-03-14 19:41:31] Training loss: 2.0454
[2021-03-14 19:41:31] Testing on 5000 data points...
[2021-03-14 19:41:31] Test accuracy: 0.2000
[2021-03-14 19:41:31] Score for 800 labels: 0.2000
[2021-03-14 19:41:31] Showing labelled: False (4200/5000 visible)
[2021-03-14 19:41:31] Found 4200 unlabelled features.
[2021-03-14 19:41:31] Showing labelled: True (850/5000 visible)
[2021-03-14 19:41:31] Training mlp across 850 data points in blobsthin...
[2021-03-14 19:41:31] Training loss: 2.0137
[2021-03-14 19:41:31] Testing on 5000 data points...
[2021-03-14 19:41:31] Test accuracy: 0.2000
[2021-03-14 19:41:31] Score for 850 labels: 0.2000
[2021-03-14 19:41:31] Showing labelled: False (4150/5000 visible)
[2021-03-14 19:41:31] Found 4150 unlabelled features.
[2021-03-14 19:41:32] Showing labelled: True (900/5000 visible)
[2021-03-14 19:41:32] Training mlp across 900 data points in blobsthin...
[2021-03-14 19:41:32] Training loss: 1.9962
[2021-03-14 19:41:32] Testing on 5000 data points...
[2021-03-14 19:41:32] Test accuracy: 0.2000
[2021-03-14 19:41:32] Score for 900 labels: 0.2000
[2021-03-14 19:41:32] Showing labelled: False (4100/5000 visible)
[2021-03-14 19:41:32] Found 4100 unlabelled features.
[2021-03-14 19:41:32] Showing labelled: True (950/5000 visible)
[2021-03-14 19:41:32] Training mlp across 950 data points in blobsthin...
[2021-03-14 19:41:33] Training loss: 1.9955
[2021-03-14 19:41:33] Testing on 5000 data points...
[2021-03-14 19:41:33] Test accuracy: 0.2000
[2021-03-14 19:41:33] Score for 950 labels: 0.2000
[2021-03-14 19:41:33] Showing labelled: False (4050/5000 visible)
[2021-03-14 19:41:33] Found 4050 unlabelled features.
[2021-03-14 19:41:33] Showing labelled: True (1000/5000 visible)
[2021-03-14 19:41:33] Training mlp across 1000 data points in blobsthin...
[2021-03-14 19:41:33] Training loss: 1.9918
[2021-03-14 19:41:33] Testing on 5000 data points...
[2021-03-14 19:41:33] Test accuracy: 0.2000
[2021-03-14 19:41:33] Score for 1000 labels: 0.2000
[2021-03-14 19:41:33] Running: experiment 2
[2021-03-14 19:41:33] Showing labelled: True (100/5000 visible)
[2021-03-14 19:41:33] mlp: initialized 1482 parameters.
[2021-03-14 19:41:33] Creating trainer with model on device: cuda
[2021-03-14 19:41:33] Training mlp across 100 data points in blobsthin...
[2021-03-14 19:41:33] Training loss: 2.3464
[2021-03-14 19:41:33] Testing on 5000 data points...
[2021-03-14 19:41:33] Test accuracy: 0.0272
[2021-03-14 19:41:33] Score for 100 labels: 0.0272
[2021-03-14 19:41:33] Showing labelled: False (4900/5000 visible)
[2021-03-14 19:41:33] Found 4900 unlabelled features.
[2021-03-14 19:41:34] Showing labelled: True (150/5000 visible)
[2021-03-14 19:41:34] Training mlp across 150 data points in blobsthin...
[2021-03-14 19:41:34] Training loss: 2.3078
[2021-03-14 19:41:34] Testing on 5000 data points...
[2021-03-14 19:41:34] Test accuracy: 0.0316
[2021-03-14 19:41:34] Score for 150 labels: 0.0316
[2021-03-14 19:41:34] Showing labelled: False (4850/5000 visible)
[2021-03-14 19:41:34] Found 4850 unlabelled features.
[2021-03-14 19:41:34] Showing labelled: True (200/5000 visible)
[2021-03-14 19:41:34] Training mlp across 200 data points in blobsthin...
[2021-03-14 19:41:34] Training loss: 2.2867
[2021-03-14 19:41:34] Testing on 5000 data points...
[2021-03-14 19:41:34] Test accuracy: 0.0396
[2021-03-14 19:41:34] Score for 200 labels: 0.0396
[2021-03-14 19:41:34] Showing labelled: False (4800/5000 visible)
[2021-03-14 19:41:34] Found 4800 unlabelled features.
[2021-03-14 19:41:34] Showing labelled: True (250/5000 visible)
[2021-03-14 19:41:34] Training mlp across 250 data points in blobsthin...
[2021-03-14 19:41:34] Training loss: 2.2638
[2021-03-14 19:41:34] Testing on 5000 data points...
[2021-03-14 19:41:34] Test accuracy: 0.0496
[2021-03-14 19:41:34] Score for 250 labels: 0.0496
[2021-03-14 19:41:34] Showing labelled: False (4750/5000 visible)
[2021-03-14 19:41:34] Found 4750 unlabelled features.
[2021-03-14 19:41:34] Showing labelled: True (300/5000 visible)
[2021-03-14 19:41:34] Training mlp across 300 data points in blobsthin...
[2021-03-14 19:41:34] Training loss: 2.2207
[2021-03-14 19:41:34] Testing on 5000 data points...
[2021-03-14 19:41:34] Test accuracy: 0.0666
[2021-03-14 19:41:34] Score for 300 labels: 0.0666
[2021-03-14 19:41:34] Showing labelled: False (4700/5000 visible)
[2021-03-14 19:41:34] Found 4700 unlabelled features.
[2021-03-14 19:41:35] Showing labelled: True (350/5000 visible)
[2021-03-14 19:41:35] Training mlp across 350 data points in blobsthin...
[2021-03-14 19:41:35] Training loss: 2.1737
[2021-03-14 19:41:35] Testing on 5000 data points...
[2021-03-14 19:41:35] Test accuracy: 0.0880
[2021-03-14 19:41:35] Score for 350 labels: 0.0880
[2021-03-14 19:41:35] Showing labelled: False (4650/5000 visible)
[2021-03-14 19:41:35] Found 4650 unlabelled features.
[2021-03-14 19:41:35] Showing labelled: True (400/5000 visible)
[2021-03-14 19:41:35] Training mlp across 400 data points in blobsthin...
[2021-03-14 19:41:35] Training loss: 2.1251
[2021-03-14 19:41:35] Testing on 5000 data points...
[2021-03-14 19:41:35] Test accuracy: 0.0992
[2021-03-14 19:41:35] Score for 400 labels: 0.0992
[2021-03-14 19:41:35] Showing labelled: False (4600/5000 visible)
[2021-03-14 19:41:35] Found 4600 unlabelled features.
[2021-03-14 19:41:35] Showing labelled: True (450/5000 visible)
[2021-03-14 19:41:35] Training mlp across 450 data points in blobsthin...
[2021-03-14 19:41:35] Training loss: 2.0733
[2021-03-14 19:41:35] Testing on 5000 data points...
[2021-03-14 19:41:36] Test accuracy: 0.1000
[2021-03-14 19:41:36] Score for 450 labels: 0.1000
[2021-03-14 19:41:36] Showing labelled: False (4550/5000 visible)
[2021-03-14 19:41:36] Found 4550 unlabelled features.
[2021-03-14 19:41:36] Showing labelled: True (500/5000 visible)
[2021-03-14 19:41:36] Training mlp across 500 data points in blobsthin...
[2021-03-14 19:41:36] Training loss: 2.0178
[2021-03-14 19:41:36] Testing on 5000 data points...
[2021-03-14 19:41:36] Test accuracy: 0.1000
[2021-03-14 19:41:36] Score for 500 labels: 0.1000
[2021-03-14 19:41:36] Showing labelled: False (4500/5000 visible)
[2021-03-14 19:41:36] Found 4500 unlabelled features.
[2021-03-14 19:41:36] Showing labelled: True (550/5000 visible)
[2021-03-14 19:41:36] Training mlp across 550 data points in blobsthin...
[2021-03-14 19:41:36] Training loss: 1.9570
[2021-03-14 19:41:36] Testing on 5000 data points...
[2021-03-14 19:41:36] Test accuracy: 0.1000
[2021-03-14 19:41:36] Score for 550 labels: 0.1000
[2021-03-14 19:41:36] Showing labelled: False (4450/5000 visible)
[2021-03-14 19:41:36] Found 4450 unlabelled features.
[2021-03-14 19:41:36] Showing labelled: True (600/5000 visible)
[2021-03-14 19:41:36] Training mlp across 600 data points in blobsthin...
[2021-03-14 19:41:37] Training loss: 1.8897
[2021-03-14 19:41:37] Testing on 5000 data points...
[2021-03-14 19:41:37] Test accuracy: 0.1000
[2021-03-14 19:41:37] Score for 600 labels: 0.1000
[2021-03-14 19:41:37] Showing labelled: False (4400/5000 visible)
[2021-03-14 19:41:37] Found 4400 unlabelled features.
[2021-03-14 19:41:37] Showing labelled: True (650/5000 visible)
[2021-03-14 19:41:37] Training mlp across 650 data points in blobsthin...
[2021-03-14 19:41:37] Training loss: 1.8237
[2021-03-14 19:41:37] Testing on 5000 data points...
[2021-03-14 19:41:37] Test accuracy: 0.1000
[2021-03-14 19:41:37] Score for 650 labels: 0.1000
[2021-03-14 19:41:37] Showing labelled: False (4350/5000 visible)
[2021-03-14 19:41:37] Found 4350 unlabelled features.
[2021-03-14 19:41:37] Showing labelled: True (700/5000 visible)
[2021-03-14 19:41:37] Training mlp across 700 data points in blobsthin...
[2021-03-14 19:41:38] Training loss: 1.7669
[2021-03-14 19:41:38] Testing on 5000 data points...
[2021-03-14 19:41:38] Test accuracy: 0.1000
[2021-03-14 19:41:38] Score for 700 labels: 0.1000
[2021-03-14 19:41:38] Showing labelled: False (4300/5000 visible)
[2021-03-14 19:41:38] Found 4300 unlabelled features.
[2021-03-14 19:41:38] Showing labelled: True (750/5000 visible)
[2021-03-14 19:41:38] Training mlp across 750 data points in blobsthin...
[2021-03-14 19:41:38] Training loss: 1.7177
[2021-03-14 19:41:38] Testing on 5000 data points...
[2021-03-14 19:41:38] Test accuracy: 0.1000
[2021-03-14 19:41:38] Score for 750 labels: 0.1000
[2021-03-14 19:41:38] Showing labelled: False (4250/5000 visible)
[2021-03-14 19:41:38] Found 4250 unlabelled features.
[2021-03-14 19:41:39] Showing labelled: True (800/5000 visible)
[2021-03-14 19:41:39] Training mlp across 800 data points in blobsthin...
[2021-03-14 19:41:39] Training loss: 1.6810
[2021-03-14 19:41:39] Testing on 5000 data points...
[2021-03-14 19:41:39] Test accuracy: 0.1000
[2021-03-14 19:41:39] Score for 800 labels: 0.1000
[2021-03-14 19:41:39] Showing labelled: False (4200/5000 visible)
[2021-03-14 19:41:39] Found 4200 unlabelled features.
[2021-03-14 19:41:39] Showing labelled: True (850/5000 visible)
[2021-03-14 19:41:39] Training mlp across 850 data points in blobsthin...
[2021-03-14 19:41:40] Training loss: 1.6736
[2021-03-14 19:41:40] Testing on 5000 data points...
[2021-03-14 19:41:40] Test accuracy: 0.1000
[2021-03-14 19:41:40] Score for 850 labels: 0.1000
[2021-03-14 19:41:40] Showing labelled: False (4150/5000 visible)
[2021-03-14 19:41:40] Found 4150 unlabelled features.
[2021-03-14 19:41:40] Showing labelled: True (900/5000 visible)
[2021-03-14 19:41:40] Training mlp across 900 data points in blobsthin...
[2021-03-14 19:41:40] Training loss: 1.6699
[2021-03-14 19:41:40] Testing on 5000 data points...
[2021-03-14 19:41:40] Test accuracy: 0.1000
[2021-03-14 19:41:40] Score for 900 labels: 0.1000
[2021-03-14 19:41:40] Showing labelled: False (4100/5000 visible)
[2021-03-14 19:41:40] Found 4100 unlabelled features.
[2021-03-14 19:41:40] Showing labelled: True (950/5000 visible)
[2021-03-14 19:41:40] Training mlp across 950 data points in blobsthin...
[2021-03-14 19:41:41] Training loss: 1.6515
[2021-03-14 19:41:41] Testing on 5000 data points...
[2021-03-14 19:41:41] Test accuracy: 0.1000
[2021-03-14 19:41:41] Score for 950 labels: 0.1000
[2021-03-14 19:41:41] Showing labelled: False (4050/5000 visible)
[2021-03-14 19:41:41] Found 4050 unlabelled features.
[2021-03-14 19:41:41] Showing labelled: True (1000/5000 visible)
[2021-03-14 19:41:41] Training mlp across 1000 data points in blobsthin...
[2021-03-14 19:41:42] Training loss: 1.6092
[2021-03-14 19:41:42] Testing on 5000 data points...
[2021-03-14 19:41:42] Test accuracy: 0.1000
[2021-03-14 19:41:42] Score for 1000 labels: 0.1000
[2021-03-14 19:41:42] Running: experiment 3
[2021-03-14 19:41:42] Showing labelled: True (100/5000 visible)
[2021-03-14 19:41:42] mlp: initialized 1482 parameters.
[2021-03-14 19:41:42] Creating trainer with model on device: cuda
[2021-03-14 19:41:42] Training mlp across 100 data points in blobsthin...
[2021-03-14 19:41:42] Training loss: 2.3354
[2021-03-14 19:41:42] Testing on 5000 data points...
[2021-03-14 19:41:42] Test accuracy: 0.0000
[2021-03-14 19:41:42] Score for 100 labels: 0.0000
[2021-03-14 19:41:42] Showing labelled: False (4900/5000 visible)
[2021-03-14 19:41:42] Found 4900 unlabelled features.
[2021-03-14 19:41:42] Showing labelled: True (150/5000 visible)
[2021-03-14 19:41:42] Training mlp across 150 data points in blobsthin...
[2021-03-14 19:41:42] Training loss: 2.3496
[2021-03-14 19:41:42] Testing on 5000 data points...
[2021-03-14 19:41:42] Test accuracy: 0.0000
[2021-03-14 19:41:42] Score for 150 labels: 0.0000
[2021-03-14 19:41:42] Showing labelled: False (4850/5000 visible)
[2021-03-14 19:41:42] Found 4850 unlabelled features.
[2021-03-14 19:41:43] Showing labelled: True (200/5000 visible)
[2021-03-14 19:41:43] Training mlp across 200 data points in blobsthin...
[2021-03-14 19:41:44] Training loss: 2.3426
[2021-03-14 19:41:44] Testing on 5000 data points...
[2021-03-14 19:41:44] Test accuracy: 0.0000
[2021-03-14 19:41:44] Score for 200 labels: 0.0000
[2021-03-14 19:41:44] Showing labelled: False (4800/5000 visible)
[2021-03-14 19:41:44] Found 4800 unlabelled features.
[2021-03-14 19:41:44] Showing labelled: True (250/5000 visible)
[2021-03-14 19:41:44] Training mlp across 250 data points in blobsthin...
[2021-03-14 19:41:44] Training loss: 2.3077
[2021-03-14 19:41:44] Testing on 5000 data points...
[2021-03-14 19:41:45] Test accuracy: 0.0030
[2021-03-14 19:41:45] Score for 250 labels: 0.0030
[2021-03-14 19:41:45] Showing labelled: False (4750/5000 visible)
[2021-03-14 19:41:45] Found 4750 unlabelled features.
[2021-03-14 19:41:46] Showing labelled: True (300/5000 visible)
[2021-03-14 19:41:46] Training mlp across 300 data points in blobsthin...
[2021-03-14 19:41:46] Training loss: 2.2666
[2021-03-14 19:41:46] Testing on 5000 data points...
[2021-03-14 19:41:46] Test accuracy: 0.0472
[2021-03-14 19:41:46] Score for 300 labels: 0.0472
[2021-03-14 19:41:46] Showing labelled: False (4700/5000 visible)
[2021-03-14 19:41:46] Found 4700 unlabelled features.
[2021-03-14 19:41:47] Showing labelled: True (350/5000 visible)
[2021-03-14 19:41:47] Training mlp across 350 data points in blobsthin...
[2021-03-14 19:41:47] Training loss: 2.2367
[2021-03-14 19:41:47] Testing on 5000 data points...
[2021-03-14 19:41:47] Test accuracy: 0.0978
[2021-03-14 19:41:47] Score for 350 labels: 0.0978
[2021-03-14 19:41:47] Showing labelled: False (4650/5000 visible)
[2021-03-14 19:41:47] Found 4650 unlabelled features.
[2021-03-14 19:41:49] Showing labelled: True (400/5000 visible)
[2021-03-14 19:41:49] Training mlp across 400 data points in blobsthin...
[2021-03-14 19:41:49] Training loss: 2.1995
[2021-03-14 19:41:49] Testing on 5000 data points...
[2021-03-14 19:41:49] Test accuracy: 0.1000
[2021-03-14 19:41:49] Score for 400 labels: 0.1000
[2021-03-14 19:41:49] Showing labelled: False (4600/5000 visible)
[2021-03-14 19:41:49] Found 4600 unlabelled features.
[2021-03-14 19:41:50] Showing labelled: True (450/5000 visible)
[2021-03-14 19:41:50] Training mlp across 450 data points in blobsthin...
[2021-03-14 19:41:50] Training loss: 2.1544
[2021-03-14 19:41:50] Testing on 5000 data points...
[2021-03-14 19:41:50] Test accuracy: 0.1000
[2021-03-14 19:41:50] Score for 450 labels: 0.1000
[2021-03-14 19:41:50] Showing labelled: False (4550/5000 visible)
[2021-03-14 19:41:50] Found 4550 unlabelled features.
[2021-03-14 19:41:52] Showing labelled: True (500/5000 visible)
[2021-03-14 19:41:52] Training mlp across 500 data points in blobsthin...
[2021-03-14 19:41:52] Training loss: 2.1121
[2021-03-14 19:41:52] Testing on 5000 data points...
[2021-03-14 19:41:52] Test accuracy: 0.1000
[2021-03-14 19:41:52] Score for 500 labels: 0.1000
[2021-03-14 19:41:52] Showing labelled: False (4500/5000 visible)
[2021-03-14 19:41:52] Found 4500 unlabelled features.
[2021-03-14 19:41:53] Showing labelled: True (550/5000 visible)
[2021-03-14 19:41:53] Training mlp across 550 data points in blobsthin...
[2021-03-14 19:41:54] Training loss: 2.0722
[2021-03-14 19:41:54] Testing on 5000 data points...
[2021-03-14 19:41:54] Test accuracy: 0.1000
[2021-03-14 19:41:54] Score for 550 labels: 0.1000
[2021-03-14 19:41:54] Showing labelled: False (4450/5000 visible)
[2021-03-14 19:41:54] Found 4450 unlabelled features.
[2021-03-14 19:41:55] Showing labelled: True (600/5000 visible)
[2021-03-14 19:41:55] Training mlp across 600 data points in blobsthin...
[2021-03-14 19:41:55] Training loss: 2.0244
[2021-03-14 19:41:55] Testing on 5000 data points...
[2021-03-14 19:41:56] Test accuracy: 0.1000
[2021-03-14 19:41:56] Score for 600 labels: 0.1000
[2021-03-14 19:41:56] Showing labelled: False (4400/5000 visible)
[2021-03-14 19:41:56] Found 4400 unlabelled features.
[2021-03-14 19:41:57] Showing labelled: True (650/5000 visible)
[2021-03-14 19:41:57] Training mlp across 650 data points in blobsthin...
[2021-03-14 19:41:57] Training loss: 1.9721
[2021-03-14 19:41:57] Testing on 5000 data points...
[2021-03-14 19:41:57] Test accuracy: 0.1000
[2021-03-14 19:41:57] Score for 650 labels: 0.1000
[2021-03-14 19:41:57] Showing labelled: False (4350/5000 visible)
[2021-03-14 19:41:57] Found 4350 unlabelled features.
[2021-03-14 19:41:58] Showing labelled: True (700/5000 visible)
[2021-03-14 19:41:58] Training mlp across 700 data points in blobsthin...
[2021-03-14 19:41:59] Training loss: 1.9185
[2021-03-14 19:41:59] Testing on 5000 data points...
[2021-03-14 19:41:59] Test accuracy: 0.1000
[2021-03-14 19:41:59] Score for 700 labels: 0.1000
[2021-03-14 19:41:59] Showing labelled: False (4300/5000 visible)
[2021-03-14 19:41:59] Found 4300 unlabelled features.
[2021-03-14 19:42:00] Showing labelled: True (750/5000 visible)
[2021-03-14 19:42:00] Training mlp across 750 data points in blobsthin...
[2021-03-14 19:42:01] Training loss: 1.8712
[2021-03-14 19:42:01] Testing on 5000 data points...
[2021-03-14 19:42:01] Test accuracy: 0.1000
[2021-03-14 19:42:01] Score for 750 labels: 0.1000
[2021-03-14 19:42:01] Showing labelled: False (4250/5000 visible)
[2021-03-14 19:42:01] Found 4250 unlabelled features.
[2021-03-14 19:42:02] Showing labelled: True (800/5000 visible)
[2021-03-14 19:42:02] Training mlp across 800 data points in blobsthin...
[2021-03-14 19:42:03] Training loss: 1.8401
[2021-03-14 19:42:03] Testing on 5000 data points...
[2021-03-14 19:42:03] Test accuracy: 0.1000
[2021-03-14 19:42:03] Score for 800 labels: 0.1000
[2021-03-14 19:42:03] Showing labelled: False (4200/5000 visible)
[2021-03-14 19:42:03] Found 4200 unlabelled features.
[2021-03-14 19:42:05] Showing labelled: True (850/5000 visible)
[2021-03-14 19:42:05] Training mlp across 850 data points in blobsthin...
[2021-03-14 19:42:05] Training loss: 1.7951
[2021-03-14 19:42:05] Testing on 5000 data points...
[2021-03-14 19:42:05] Test accuracy: 0.1032
[2021-03-14 19:42:05] Score for 850 labels: 0.1032
[2021-03-14 19:42:05] Showing labelled: False (4150/5000 visible)
[2021-03-14 19:42:05] Found 4150 unlabelled features.
[2021-03-14 19:42:07] Showing labelled: True (900/5000 visible)
[2021-03-14 19:42:07] Training mlp across 900 data points in blobsthin...
[2021-03-14 19:42:07] Training loss: 1.7537
[2021-03-14 19:42:07] Testing on 5000 data points...
[2021-03-14 19:42:08] Test accuracy: 0.1824
[2021-03-14 19:42:08] Score for 900 labels: 0.1824
[2021-03-14 19:42:08] Showing labelled: False (4100/5000 visible)
[2021-03-14 19:42:08] Found 4100 unlabelled features.
[2021-03-14 19:42:09] Showing labelled: True (950/5000 visible)
[2021-03-14 19:42:09] Training mlp across 950 data points in blobsthin...
[2021-03-14 19:42:09] Training loss: 1.7225
[2021-03-14 19:42:09] Testing on 5000 data points...
[2021-03-14 19:42:09] Test accuracy: 0.1982
[2021-03-14 19:42:09] Score for 950 labels: 0.1982
[2021-03-14 19:42:09] Showing labelled: False (4050/5000 visible)
[2021-03-14 19:42:09] Found 4050 unlabelled features.
[2021-03-14 19:42:11] Showing labelled: True (1000/5000 visible)
[2021-03-14 19:42:11] Training mlp across 1000 data points in blobsthin...
[2021-03-14 19:42:12] Training loss: 1.6929
[2021-03-14 19:42:12] Testing on 5000 data points...
[2021-03-14 19:42:12] Test accuracy: 0.1996
[2021-03-14 19:42:12] Score for 1000 labels: 0.1996
[2021-03-14 19:42:12] Experiment repeat 3/3
[2021-03-14 19:42:12] Randomly labelled 100/5000
[2021-03-14 19:42:12] Showing labelled: True (100/5000 visible)
[2021-03-14 19:42:12] Running: experiment 0
[2021-03-14 19:42:12] Showing labelled: True (100/5000 visible)
[2021-03-14 19:42:12] mlp: initialized 1482 parameters.
[2021-03-14 19:42:12] Creating trainer with model on device: cuda
[2021-03-14 19:42:12] Training mlp across 100 data points in blobsthin...
[2021-03-14 19:42:12] Training loss: 2.6041
[2021-03-14 19:42:12] Testing on 5000 data points...
[2021-03-14 19:42:12] Test accuracy: 0.0964
[2021-03-14 19:42:12] Score for 100 labels: 0.0964
[2021-03-14 19:42:12] Showing labelled: False (4900/5000 visible)
[2021-03-14 19:42:12] Found 4900 unlabelled features.
[2021-03-14 19:42:12] Showing labelled: True (150/5000 visible)
[2021-03-14 19:42:12] Training mlp across 150 data points in blobsthin...
[2021-03-14 19:42:12] Training loss: 2.6254
[2021-03-14 19:42:12] Testing on 5000 data points...
[2021-03-14 19:42:12] Test accuracy: 0.0964
[2021-03-14 19:42:12] Score for 150 labels: 0.0964
[2021-03-14 19:42:12] Showing labelled: False (4850/5000 visible)
[2021-03-14 19:42:12] Found 4850 unlabelled features.
[2021-03-14 19:42:12] Showing labelled: True (200/5000 visible)
[2021-03-14 19:42:12] Training mlp across 200 data points in blobsthin...
[2021-03-14 19:42:12] Training loss: 2.5679
[2021-03-14 19:42:12] Testing on 5000 data points...
[2021-03-14 19:42:12] Test accuracy: 0.0964
[2021-03-14 19:42:12] Score for 200 labels: 0.0964
[2021-03-14 19:42:12] Showing labelled: False (4800/5000 visible)
[2021-03-14 19:42:12] Found 4800 unlabelled features.
[2021-03-14 19:42:12] Showing labelled: True (250/5000 visible)
[2021-03-14 19:42:12] Training mlp across 250 data points in blobsthin...
[2021-03-14 19:42:12] Training loss: 2.5056
[2021-03-14 19:42:12] Testing on 5000 data points...
[2021-03-14 19:42:12] Test accuracy: 0.0970
[2021-03-14 19:42:12] Score for 250 labels: 0.0970
[2021-03-14 19:42:12] Showing labelled: False (4750/5000 visible)
[2021-03-14 19:42:12] Found 4750 unlabelled features.
[2021-03-14 19:42:12] Showing labelled: True (300/5000 visible)
[2021-03-14 19:42:12] Training mlp across 300 data points in blobsthin...
[2021-03-14 19:42:13] Training loss: 2.4342
[2021-03-14 19:42:13] Testing on 5000 data points...
[2021-03-14 19:42:13] Test accuracy: 0.0972
[2021-03-14 19:42:13] Score for 300 labels: 0.0972
[2021-03-14 19:42:13] Showing labelled: False (4700/5000 visible)
[2021-03-14 19:42:13] Found 4700 unlabelled features.
[2021-03-14 19:42:13] Showing labelled: True (350/5000 visible)
[2021-03-14 19:42:13] Training mlp across 350 data points in blobsthin...
[2021-03-14 19:42:13] Training loss: 2.3692
[2021-03-14 19:42:13] Testing on 5000 data points...
[2021-03-14 19:42:13] Test accuracy: 0.0980
[2021-03-14 19:42:13] Score for 350 labels: 0.0980
[2021-03-14 19:42:13] Showing labelled: False (4650/5000 visible)
[2021-03-14 19:42:13] Found 4650 unlabelled features.
[2021-03-14 19:42:13] Showing labelled: True (400/5000 visible)
[2021-03-14 19:42:13] Training mlp across 400 data points in blobsthin...
[2021-03-14 19:42:13] Training loss: 2.3054
[2021-03-14 19:42:13] Testing on 5000 data points...
[2021-03-14 19:42:13] Test accuracy: 0.0984
[2021-03-14 19:42:13] Score for 400 labels: 0.0984
[2021-03-14 19:42:13] Showing labelled: False (4600/5000 visible)
[2021-03-14 19:42:13] Found 4600 unlabelled features.
[2021-03-14 19:42:13] Showing labelled: True (450/5000 visible)
[2021-03-14 19:42:13] Training mlp across 450 data points in blobsthin...
[2021-03-14 19:42:14] Training loss: 2.2501
[2021-03-14 19:42:14] Testing on 5000 data points...
[2021-03-14 19:42:14] Test accuracy: 0.0992
[2021-03-14 19:42:14] Score for 450 labels: 0.0992
[2021-03-14 19:42:14] Showing labelled: False (4550/5000 visible)
[2021-03-14 19:42:14] Found 4550 unlabelled features.
[2021-03-14 19:42:14] Showing labelled: True (500/5000 visible)
[2021-03-14 19:42:14] Training mlp across 500 data points in blobsthin...
[2021-03-14 19:42:14] Training loss: 2.1760
[2021-03-14 19:42:14] Testing on 5000 data points...
[2021-03-14 19:42:14] Test accuracy: 0.0996
[2021-03-14 19:42:14] Score for 500 labels: 0.0996
[2021-03-14 19:42:14] Showing labelled: False (4500/5000 visible)
[2021-03-14 19:42:14] Found 4500 unlabelled features.
[2021-03-14 19:42:14] Showing labelled: True (550/5000 visible)
[2021-03-14 19:42:14] Training mlp across 550 data points in blobsthin...
[2021-03-14 19:42:14] Training loss: 2.1114
[2021-03-14 19:42:14] Testing on 5000 data points...
[2021-03-14 19:42:14] Test accuracy: 0.0924
[2021-03-14 19:42:14] Score for 550 labels: 0.0924
[2021-03-14 19:42:14] Showing labelled: False (4450/5000 visible)
[2021-03-14 19:42:14] Found 4450 unlabelled features.
[2021-03-14 19:42:14] Showing labelled: True (600/5000 visible)
[2021-03-14 19:42:14] Training mlp across 600 data points in blobsthin...
[2021-03-14 19:42:15] Training loss: 2.0372
[2021-03-14 19:42:15] Testing on 5000 data points...
[2021-03-14 19:42:15] Test accuracy: 0.1000
[2021-03-14 19:42:15] Score for 600 labels: 0.1000
[2021-03-14 19:42:15] Showing labelled: False (4400/5000 visible)
[2021-03-14 19:42:15] Found 4400 unlabelled features.
[2021-03-14 19:42:15] Showing labelled: True (650/5000 visible)
[2021-03-14 19:42:15] Training mlp across 650 data points in blobsthin...
[2021-03-14 19:42:15] Training loss: 1.9687
[2021-03-14 19:42:15] Testing on 5000 data points...
[2021-03-14 19:42:15] Test accuracy: 0.1000
[2021-03-14 19:42:15] Score for 650 labels: 0.1000
[2021-03-14 19:42:15] Showing labelled: False (4350/5000 visible)
[2021-03-14 19:42:15] Found 4350 unlabelled features.
[2021-03-14 19:42:15] Showing labelled: True (700/5000 visible)
[2021-03-14 19:42:15] Training mlp across 700 data points in blobsthin...
[2021-03-14 19:42:16] Training loss: 1.9108
[2021-03-14 19:42:16] Testing on 5000 data points...
[2021-03-14 19:42:16] Test accuracy: 0.1000
[2021-03-14 19:42:16] Score for 700 labels: 0.1000
[2021-03-14 19:42:16] Showing labelled: False (4300/5000 visible)
[2021-03-14 19:42:16] Found 4300 unlabelled features.
[2021-03-14 19:42:16] Showing labelled: True (750/5000 visible)
[2021-03-14 19:42:16] Training mlp across 750 data points in blobsthin...
[2021-03-14 19:42:16] Training loss: 1.8512
[2021-03-14 19:42:16] Testing on 5000 data points...
[2021-03-14 19:42:16] Test accuracy: 0.1000
[2021-03-14 19:42:16] Score for 750 labels: 0.1000
[2021-03-14 19:42:16] Showing labelled: False (4250/5000 visible)
[2021-03-14 19:42:16] Found 4250 unlabelled features.
[2021-03-14 19:42:16] Showing labelled: True (800/5000 visible)
[2021-03-14 19:42:16] Training mlp across 800 data points in blobsthin...
[2021-03-14 19:42:17] Training loss: 1.8115
[2021-03-14 19:42:17] Testing on 5000 data points...
[2021-03-14 19:42:17] Test accuracy: 0.1000
[2021-03-14 19:42:17] Score for 800 labels: 0.1000
[2021-03-14 19:42:17] Showing labelled: False (4200/5000 visible)
[2021-03-14 19:42:17] Found 4200 unlabelled features.
[2021-03-14 19:42:17] Showing labelled: True (850/5000 visible)
[2021-03-14 19:42:17] Training mlp across 850 data points in blobsthin...
[2021-03-14 19:42:17] Training loss: 1.7679
[2021-03-14 19:42:17] Testing on 5000 data points...
[2021-03-14 19:42:17] Test accuracy: 0.1000
[2021-03-14 19:42:17] Score for 850 labels: 0.1000
[2021-03-14 19:42:17] Showing labelled: False (4150/5000 visible)
[2021-03-14 19:42:17] Found 4150 unlabelled features.
[2021-03-14 19:42:17] Showing labelled: True (900/5000 visible)
[2021-03-14 19:42:17] Training mlp across 900 data points in blobsthin...
[2021-03-14 19:42:18] Training loss: 1.7404
[2021-03-14 19:42:18] Testing on 5000 data points...
[2021-03-14 19:42:18] Test accuracy: 0.1000
[2021-03-14 19:42:18] Score for 900 labels: 0.1000
[2021-03-14 19:42:18] Showing labelled: False (4100/5000 visible)
[2021-03-14 19:42:18] Found 4100 unlabelled features.
[2021-03-14 19:42:18] Showing labelled: True (950/5000 visible)
[2021-03-14 19:42:18] Training mlp across 950 data points in blobsthin...
[2021-03-14 19:42:19] Training loss: 1.6994
[2021-03-14 19:42:19] Testing on 5000 data points...
[2021-03-14 19:42:19] Test accuracy: 0.1010
[2021-03-14 19:42:19] Score for 950 labels: 0.1010
[2021-03-14 19:42:19] Showing labelled: False (4050/5000 visible)
[2021-03-14 19:42:19] Found 4050 unlabelled features.
[2021-03-14 19:42:19] Showing labelled: True (1000/5000 visible)
[2021-03-14 19:42:19] Training mlp across 1000 data points in blobsthin...
[2021-03-14 19:42:19] Training loss: 1.6633
[2021-03-14 19:42:19] Testing on 5000 data points...
[2021-03-14 19:42:19] Test accuracy: 0.1434
[2021-03-14 19:42:19] Score for 1000 labels: 0.1434
[2021-03-14 19:42:19] Running: experiment 1
[2021-03-14 19:42:19] Showing labelled: True (100/5000 visible)
[2021-03-14 19:42:19] mlp: initialized 1482 parameters.
[2021-03-14 19:42:19] Creating trainer with model on device: cuda
[2021-03-14 19:42:19] Training mlp across 100 data points in blobsthin...
[2021-03-14 19:42:19] Training loss: 2.5222
[2021-03-14 19:42:19] Testing on 5000 data points...
[2021-03-14 19:42:19] Test accuracy: 0.0288
[2021-03-14 19:42:19] Score for 100 labels: 0.0288
[2021-03-14 19:42:19] Showing labelled: False (4900/5000 visible)
[2021-03-14 19:42:19] Found 4900 unlabelled features.
[2021-03-14 19:42:20] Showing labelled: True (150/5000 visible)
[2021-03-14 19:42:20] Training mlp across 150 data points in blobsthin...
[2021-03-14 19:42:20] Training loss: 2.4388
[2021-03-14 19:42:20] Testing on 5000 data points...
[2021-03-14 19:42:20] Test accuracy: 0.0232
[2021-03-14 19:42:20] Score for 150 labels: 0.0232
[2021-03-14 19:42:20] Showing labelled: False (4850/5000 visible)
[2021-03-14 19:42:20] Found 4850 unlabelled features.
[2021-03-14 19:42:20] Showing labelled: True (200/5000 visible)
[2021-03-14 19:42:20] Training mlp across 200 data points in blobsthin...
[2021-03-14 19:42:20] Training loss: 2.3895
[2021-03-14 19:42:20] Testing on 5000 data points...
[2021-03-14 19:42:20] Test accuracy: 0.0168
[2021-03-14 19:42:20] Score for 200 labels: 0.0168
[2021-03-14 19:42:20] Showing labelled: False (4800/5000 visible)
[2021-03-14 19:42:20] Found 4800 unlabelled features.
[2021-03-14 19:42:20] Showing labelled: True (250/5000 visible)
[2021-03-14 19:42:20] Training mlp across 250 data points in blobsthin...
[2021-03-14 19:42:20] Training loss: 2.3470
[2021-03-14 19:42:20] Testing on 5000 data points...
[2021-03-14 19:42:20] Test accuracy: 0.0106
[2021-03-14 19:42:20] Score for 250 labels: 0.0106
[2021-03-14 19:42:20] Showing labelled: False (4750/5000 visible)
[2021-03-14 19:42:20] Found 4750 unlabelled features.
[2021-03-14 19:42:20] Showing labelled: True (300/5000 visible)
[2021-03-14 19:42:20] Training mlp across 300 data points in blobsthin...
[2021-03-14 19:42:20] Training loss: 2.3016
[2021-03-14 19:42:20] Testing on 5000 data points...
[2021-03-14 19:42:20] Test accuracy: 0.0046
[2021-03-14 19:42:20] Score for 300 labels: 0.0046
[2021-03-14 19:42:20] Showing labelled: False (4700/5000 visible)
[2021-03-14 19:42:20] Found 4700 unlabelled features.
[2021-03-14 19:42:21] Showing labelled: True (350/5000 visible)
[2021-03-14 19:42:21] Training mlp across 350 data points in blobsthin...
[2021-03-14 19:42:21] Training loss: 2.2476
[2021-03-14 19:42:21] Testing on 5000 data points...
[2021-03-14 19:42:21] Test accuracy: 0.0032
[2021-03-14 19:42:21] Score for 350 labels: 0.0032
[2021-03-14 19:42:21] Showing labelled: False (4650/5000 visible)
[2021-03-14 19:42:21] Found 4650 unlabelled features.
[2021-03-14 19:42:21] Showing labelled: True (400/5000 visible)
[2021-03-14 19:42:21] Training mlp across 400 data points in blobsthin...
[2021-03-14 19:42:21] Training loss: 2.1904
[2021-03-14 19:42:21] Testing on 5000 data points...
[2021-03-14 19:42:21] Test accuracy: 0.0914
[2021-03-14 19:42:21] Score for 400 labels: 0.0914
[2021-03-14 19:42:21] Showing labelled: False (4600/5000 visible)
[2021-03-14 19:42:21] Found 4600 unlabelled features.
[2021-03-14 19:42:21] Showing labelled: True (450/5000 visible)
[2021-03-14 19:42:21] Training mlp across 450 data points in blobsthin...
[2021-03-14 19:42:21] Training loss: 2.1249
[2021-03-14 19:42:21] Testing on 5000 data points...
[2021-03-14 19:42:21] Test accuracy: 0.1168
[2021-03-14 19:42:21] Score for 450 labels: 0.1168
[2021-03-14 19:42:21] Showing labelled: False (4550/5000 visible)
[2021-03-14 19:42:21] Found 4550 unlabelled features.
[2021-03-14 19:42:22] Showing labelled: True (500/5000 visible)
[2021-03-14 19:42:22] Training mlp across 500 data points in blobsthin...
[2021-03-14 19:42:22] Training loss: 2.0901
[2021-03-14 19:42:22] Testing on 5000 data points...
[2021-03-14 19:42:22] Test accuracy: 0.1000
[2021-03-14 19:42:22] Score for 500 labels: 0.1000
[2021-03-14 19:42:22] Showing labelled: False (4500/5000 visible)
[2021-03-14 19:42:22] Found 4500 unlabelled features.
[2021-03-14 19:42:22] Showing labelled: True (550/5000 visible)
[2021-03-14 19:42:22] Training mlp across 550 data points in blobsthin...
[2021-03-14 19:42:22] Training loss: 2.0634
[2021-03-14 19:42:22] Testing on 5000 data points...
[2021-03-14 19:42:22] Test accuracy: 0.1000
[2021-03-14 19:42:22] Score for 550 labels: 0.1000
[2021-03-14 19:42:22] Showing labelled: False (4450/5000 visible)
[2021-03-14 19:42:22] Found 4450 unlabelled features.
[2021-03-14 19:42:22] Showing labelled: True (600/5000 visible)
[2021-03-14 19:42:22] Training mlp across 600 data points in blobsthin...
[2021-03-14 19:42:23] Training loss: 2.0321
[2021-03-14 19:42:23] Testing on 5000 data points...
[2021-03-14 19:42:23] Test accuracy: 0.1000
[2021-03-14 19:42:23] Score for 600 labels: 0.1000
[2021-03-14 19:42:23] Showing labelled: False (4400/5000 visible)
[2021-03-14 19:42:23] Found 4400 unlabelled features.
[2021-03-14 19:42:23] Showing labelled: True (650/5000 visible)
[2021-03-14 19:42:23] Training mlp across 650 data points in blobsthin...
[2021-03-14 19:42:23] Training loss: 2.0039
[2021-03-14 19:42:23] Testing on 5000 data points...
[2021-03-14 19:42:23] Test accuracy: 0.1000
[2021-03-14 19:42:23] Score for 650 labels: 0.1000
[2021-03-14 19:42:23] Showing labelled: False (4350/5000 visible)
[2021-03-14 19:42:23] Found 4350 unlabelled features.
[2021-03-14 19:42:23] Showing labelled: True (700/5000 visible)
[2021-03-14 19:42:23] Training mlp across 700 data points in blobsthin...
[2021-03-14 19:42:24] Training loss: 1.9730
[2021-03-14 19:42:24] Testing on 5000 data points...
[2021-03-14 19:42:24] Test accuracy: 0.1000
[2021-03-14 19:42:24] Score for 700 labels: 0.1000
[2021-03-14 19:42:24] Showing labelled: False (4300/5000 visible)
[2021-03-14 19:42:24] Found 4300 unlabelled features.
[2021-03-14 19:42:24] Showing labelled: True (750/5000 visible)
[2021-03-14 19:42:24] Training mlp across 750 data points in blobsthin...
[2021-03-14 19:42:24] Training loss: 1.9367
[2021-03-14 19:42:24] Testing on 5000 data points...
[2021-03-14 19:42:24] Test accuracy: 0.1000
[2021-03-14 19:42:24] Score for 750 labels: 0.1000
[2021-03-14 19:42:24] Showing labelled: False (4250/5000 visible)
[2021-03-14 19:42:24] Found 4250 unlabelled features.
[2021-03-14 19:42:24] Showing labelled: True (800/5000 visible)
[2021-03-14 19:42:24] Training mlp across 800 data points in blobsthin...
[2021-03-14 19:42:25] Training loss: 1.8985
[2021-03-14 19:42:25] Testing on 5000 data points...
[2021-03-14 19:42:25] Test accuracy: 0.1000
[2021-03-14 19:42:25] Score for 800 labels: 0.1000
[2021-03-14 19:42:25] Showing labelled: False (4200/5000 visible)
[2021-03-14 19:42:25] Found 4200 unlabelled features.
[2021-03-14 19:42:25] Showing labelled: True (850/5000 visible)
[2021-03-14 19:42:25] Training mlp across 850 data points in blobsthin...
[2021-03-14 19:42:25] Training loss: 1.8707
[2021-03-14 19:42:25] Testing on 5000 data points...
[2021-03-14 19:42:25] Test accuracy: 0.1000
[2021-03-14 19:42:25] Score for 850 labels: 0.1000
[2021-03-14 19:42:25] Showing labelled: False (4150/5000 visible)
[2021-03-14 19:42:25] Found 4150 unlabelled features.
[2021-03-14 19:42:25] Showing labelled: True (900/5000 visible)
[2021-03-14 19:42:25] Training mlp across 900 data points in blobsthin...
[2021-03-14 19:42:26] Training loss: 1.8497
[2021-03-14 19:42:26] Testing on 5000 data points...
[2021-03-14 19:42:26] Test accuracy: 0.1000
[2021-03-14 19:42:26] Score for 900 labels: 0.1000
[2021-03-14 19:42:26] Showing labelled: False (4100/5000 visible)
[2021-03-14 19:42:26] Found 4100 unlabelled features.
[2021-03-14 19:42:26] Showing labelled: True (950/5000 visible)
[2021-03-14 19:42:26] Training mlp across 950 data points in blobsthin...
[2021-03-14 19:42:27] Training loss: 1.8286
[2021-03-14 19:42:27] Testing on 5000 data points...
[2021-03-14 19:42:27] Test accuracy: 0.1000
[2021-03-14 19:42:27] Score for 950 labels: 0.1000
[2021-03-14 19:42:27] Showing labelled: False (4050/5000 visible)
[2021-03-14 19:42:27] Found 4050 unlabelled features.
[2021-03-14 19:42:27] Showing labelled: True (1000/5000 visible)
[2021-03-14 19:42:27] Training mlp across 1000 data points in blobsthin...
[2021-03-14 19:42:27] Training loss: 1.8050
[2021-03-14 19:42:27] Testing on 5000 data points...
[2021-03-14 19:42:27] Test accuracy: 0.1002
[2021-03-14 19:42:27] Score for 1000 labels: 0.1002
[2021-03-14 19:42:27] Running: experiment 2
[2021-03-14 19:42:27] Showing labelled: True (100/5000 visible)
[2021-03-14 19:42:27] mlp: initialized 1482 parameters.
[2021-03-14 19:42:27] Creating trainer with model on device: cuda
[2021-03-14 19:42:27] Training mlp across 100 data points in blobsthin...
[2021-03-14 19:42:27] Training loss: 2.2585
[2021-03-14 19:42:27] Testing on 5000 data points...
[2021-03-14 19:42:28] Test accuracy: 0.0590
[2021-03-14 19:42:28] Score for 100 labels: 0.0590
[2021-03-14 19:42:28] Showing labelled: False (4900/5000 visible)
[2021-03-14 19:42:28] Found 4900 unlabelled features.
[2021-03-14 19:42:28] Showing labelled: True (150/5000 visible)
[2021-03-14 19:42:28] Training mlp across 150 data points in blobsthin...
[2021-03-14 19:42:28] Training loss: 2.2257
[2021-03-14 19:42:28] Testing on 5000 data points...
[2021-03-14 19:42:28] Test accuracy: 0.0820
[2021-03-14 19:42:28] Score for 150 labels: 0.0820
[2021-03-14 19:42:28] Showing labelled: False (4850/5000 visible)
[2021-03-14 19:42:28] Found 4850 unlabelled features.
[2021-03-14 19:42:28] Showing labelled: True (200/5000 visible)
[2021-03-14 19:42:28] Training mlp across 200 data points in blobsthin...
[2021-03-14 19:42:28] Training loss: 2.2152
[2021-03-14 19:42:28] Testing on 5000 data points...
[2021-03-14 19:42:28] Test accuracy: 0.1212
[2021-03-14 19:42:28] Score for 200 labels: 0.1212
[2021-03-14 19:42:28] Showing labelled: False (4800/5000 visible)
[2021-03-14 19:42:28] Found 4800 unlabelled features.
[2021-03-14 19:42:28] Showing labelled: True (250/5000 visible)
[2021-03-14 19:42:28] Training mlp across 250 data points in blobsthin...
[2021-03-14 19:42:28] Training loss: 2.2084
[2021-03-14 19:42:28] Testing on 5000 data points...
[2021-03-14 19:42:28] Test accuracy: 0.1554
[2021-03-14 19:42:28] Score for 250 labels: 0.1554
[2021-03-14 19:42:28] Showing labelled: False (4750/5000 visible)
[2021-03-14 19:42:28] Found 4750 unlabelled features.
[2021-03-14 19:42:28] Showing labelled: True (300/5000 visible)
[2021-03-14 19:42:28] Training mlp across 300 data points in blobsthin...
[2021-03-14 19:42:28] Training loss: 2.1967
[2021-03-14 19:42:28] Testing on 5000 data points...
[2021-03-14 19:42:29] Test accuracy: 0.1912
[2021-03-14 19:42:29] Score for 300 labels: 0.1912
[2021-03-14 19:42:29] Showing labelled: False (4700/5000 visible)
[2021-03-14 19:42:29] Found 4700 unlabelled features.
[2021-03-14 19:42:29] Showing labelled: True (350/5000 visible)
[2021-03-14 19:42:29] Training mlp across 350 data points in blobsthin...
[2021-03-14 19:42:29] Training loss: 2.1795
[2021-03-14 19:42:29] Testing on 5000 data points...
[2021-03-14 19:42:29] Test accuracy: 0.2314
[2021-03-14 19:42:29] Score for 350 labels: 0.2314
[2021-03-14 19:42:29] Showing labelled: False (4650/5000 visible)
[2021-03-14 19:42:29] Found 4650 unlabelled features.
[2021-03-14 19:42:29] Showing labelled: True (400/5000 visible)
[2021-03-14 19:42:29] Training mlp across 400 data points in blobsthin...
[2021-03-14 19:42:29] Training loss: 2.1594
[2021-03-14 19:42:29] Testing on 5000 data points...
[2021-03-14 19:42:29] Test accuracy: 0.2668
[2021-03-14 19:42:29] Score for 400 labels: 0.2668
[2021-03-14 19:42:29] Showing labelled: False (4600/5000 visible)
[2021-03-14 19:42:29] Found 4600 unlabelled features.
[2021-03-14 19:42:29] Showing labelled: True (450/5000 visible)
[2021-03-14 19:42:29] Training mlp across 450 data points in blobsthin...
[2021-03-14 19:42:30] Training loss: 2.1342
[2021-03-14 19:42:30] Testing on 5000 data points...
[2021-03-14 19:42:30] Test accuracy: 0.2816
[2021-03-14 19:42:30] Score for 450 labels: 0.2816
[2021-03-14 19:42:30] Showing labelled: False (4550/5000 visible)
[2021-03-14 19:42:30] Found 4550 unlabelled features.
[2021-03-14 19:42:30] Showing labelled: True (500/5000 visible)
[2021-03-14 19:42:30] Training mlp across 500 data points in blobsthin...
[2021-03-14 19:42:30] Training loss: 2.1053
[2021-03-14 19:42:30] Testing on 5000 data points...
[2021-03-14 19:42:30] Test accuracy: 0.2604
[2021-03-14 19:42:30] Score for 500 labels: 0.2604
[2021-03-14 19:42:30] Showing labelled: False (4500/5000 visible)
[2021-03-14 19:42:30] Found 4500 unlabelled features.
[2021-03-14 19:42:30] Showing labelled: True (550/5000 visible)
[2021-03-14 19:42:30] Training mlp across 550 data points in blobsthin...
[2021-03-14 19:42:30] Training loss: 2.0732
[2021-03-14 19:42:30] Testing on 5000 data points...
[2021-03-14 19:42:30] Test accuracy: 0.2284
[2021-03-14 19:42:30] Score for 550 labels: 0.2284
[2021-03-14 19:42:30] Showing labelled: False (4450/5000 visible)
[2021-03-14 19:42:30] Found 4450 unlabelled features.
[2021-03-14 19:42:30] Showing labelled: True (600/5000 visible)
[2021-03-14 19:42:30] Training mlp across 600 data points in blobsthin...
[2021-03-14 19:42:31] Training loss: 2.0448
[2021-03-14 19:42:31] Testing on 5000 data points...
[2021-03-14 19:42:31] Test accuracy: 0.2072
[2021-03-14 19:42:31] Score for 600 labels: 0.2072
[2021-03-14 19:42:31] Showing labelled: False (4400/5000 visible)
[2021-03-14 19:42:31] Found 4400 unlabelled features.
[2021-03-14 19:42:31] Showing labelled: True (650/5000 visible)
[2021-03-14 19:42:31] Training mlp across 650 data points in blobsthin...
[2021-03-14 19:42:31] Training loss: 2.0342
[2021-03-14 19:42:31] Testing on 5000 data points...
[2021-03-14 19:42:31] Test accuracy: 0.1900
[2021-03-14 19:42:31] Score for 650 labels: 0.1900
[2021-03-14 19:42:31] Showing labelled: False (4350/5000 visible)
[2021-03-14 19:42:31] Found 4350 unlabelled features.
[2021-03-14 19:42:31] Showing labelled: True (700/5000 visible)
[2021-03-14 19:42:31] Training mlp across 700 data points in blobsthin...
[2021-03-14 19:42:32] Training loss: 2.0142
[2021-03-14 19:42:32] Testing on 5000 data points...
[2021-03-14 19:42:32] Test accuracy: 0.1638
[2021-03-14 19:42:32] Score for 700 labels: 0.1638
[2021-03-14 19:42:32] Showing labelled: False (4300/5000 visible)
[2021-03-14 19:42:32] Found 4300 unlabelled features.
[2021-03-14 19:42:32] Showing labelled: True (750/5000 visible)
[2021-03-14 19:42:32] Training mlp across 750 data points in blobsthin...
[2021-03-14 19:42:32] Training loss: 1.9835
[2021-03-14 19:42:32] Testing on 5000 data points...
[2021-03-14 19:42:32] Test accuracy: 0.1292
[2021-03-14 19:42:32] Score for 750 labels: 0.1292
[2021-03-14 19:42:32] Showing labelled: False (4250/5000 visible)
[2021-03-14 19:42:32] Found 4250 unlabelled features.
[2021-03-14 19:42:32] Showing labelled: True (800/5000 visible)
[2021-03-14 19:42:32] Training mlp across 800 data points in blobsthin...
[2021-03-14 19:42:33] Training loss: 1.9415
[2021-03-14 19:42:33] Testing on 5000 data points...
[2021-03-14 19:42:33] Test accuracy: 0.1096
[2021-03-14 19:42:33] Score for 800 labels: 0.1096
[2021-03-14 19:42:33] Showing labelled: False (4200/5000 visible)
[2021-03-14 19:42:33] Found 4200 unlabelled features.
[2021-03-14 19:42:33] Showing labelled: True (850/5000 visible)
[2021-03-14 19:42:33] Training mlp across 850 data points in blobsthin...
[2021-03-14 19:42:33] Training loss: 1.8917
[2021-03-14 19:42:33] Testing on 5000 data points...
[2021-03-14 19:42:33] Test accuracy: 0.1082
[2021-03-14 19:42:33] Score for 850 labels: 0.1082
[2021-03-14 19:42:33] Showing labelled: False (4150/5000 visible)
[2021-03-14 19:42:33] Found 4150 unlabelled features.
[2021-03-14 19:42:34] Showing labelled: True (900/5000 visible)
[2021-03-14 19:42:34] Training mlp across 900 data points in blobsthin...
[2021-03-14 19:42:34] Training loss: 1.8289
[2021-03-14 19:42:34] Testing on 5000 data points...
[2021-03-14 19:42:34] Test accuracy: 0.1486
[2021-03-14 19:42:34] Score for 900 labels: 0.1486
[2021-03-14 19:42:34] Showing labelled: False (4100/5000 visible)
[2021-03-14 19:42:34] Found 4100 unlabelled features.
[2021-03-14 19:42:34] Showing labelled: True (950/5000 visible)
[2021-03-14 19:42:34] Training mlp across 950 data points in blobsthin...
[2021-03-14 19:42:35] Training loss: 1.7781
[2021-03-14 19:42:35] Testing on 5000 data points...
[2021-03-14 19:42:35] Test accuracy: 0.1980
[2021-03-14 19:42:35] Score for 950 labels: 0.1980
[2021-03-14 19:42:35] Showing labelled: False (4050/5000 visible)
[2021-03-14 19:42:35] Found 4050 unlabelled features.
[2021-03-14 19:42:35] Showing labelled: True (1000/5000 visible)
[2021-03-14 19:42:35] Training mlp across 1000 data points in blobsthin...
[2021-03-14 19:42:35] Training loss: 1.7502
[2021-03-14 19:42:35] Testing on 5000 data points...
[2021-03-14 19:42:35] Test accuracy: 0.2000
[2021-03-14 19:42:35] Score for 1000 labels: 0.2000
[2021-03-14 19:42:35] Running: experiment 3
[2021-03-14 19:42:35] Showing labelled: True (100/5000 visible)
[2021-03-14 19:42:35] mlp: initialized 1482 parameters.
[2021-03-14 19:42:35] Creating trainer with model on device: cuda
[2021-03-14 19:42:35] Training mlp across 100 data points in blobsthin...
[2021-03-14 19:42:35] Training loss: 2.3948
[2021-03-14 19:42:35] Testing on 5000 data points...
[2021-03-14 19:42:35] Test accuracy: 0.1000
[2021-03-14 19:42:35] Score for 100 labels: 0.1000
[2021-03-14 19:42:35] Showing labelled: False (4900/5000 visible)
[2021-03-14 19:42:35] Found 4900 unlabelled features.
[2021-03-14 19:42:36] Showing labelled: True (150/5000 visible)
[2021-03-14 19:42:36] Training mlp across 150 data points in blobsthin...
[2021-03-14 19:42:36] Training loss: 2.4104
[2021-03-14 19:42:36] Testing on 5000 data points...
[2021-03-14 19:42:36] Test accuracy: 0.1000
[2021-03-14 19:42:36] Score for 150 labels: 0.1000
[2021-03-14 19:42:36] Showing labelled: False (4850/5000 visible)
[2021-03-14 19:42:36] Found 4850 unlabelled features.
[2021-03-14 19:42:37] Showing labelled: True (200/5000 visible)
[2021-03-14 19:42:37] Training mlp across 200 data points in blobsthin...
[2021-03-14 19:42:37] Training loss: 2.3869
[2021-03-14 19:42:37] Testing on 5000 data points...
[2021-03-14 19:42:37] Test accuracy: 0.1000
[2021-03-14 19:42:37] Score for 200 labels: 0.1000
[2021-03-14 19:42:37] Showing labelled: False (4800/5000 visible)
[2021-03-14 19:42:37] Found 4800 unlabelled features.
[2021-03-14 19:42:38] Showing labelled: True (250/5000 visible)
[2021-03-14 19:42:38] Training mlp across 250 data points in blobsthin...
[2021-03-14 19:42:38] Training loss: 2.3541
[2021-03-14 19:42:38] Testing on 5000 data points...
[2021-03-14 19:42:38] Test accuracy: 0.1000
[2021-03-14 19:42:38] Score for 250 labels: 0.1000
[2021-03-14 19:42:38] Showing labelled: False (4750/5000 visible)
[2021-03-14 19:42:38] Found 4750 unlabelled features.
[2021-03-14 19:42:40] Showing labelled: True (300/5000 visible)
[2021-03-14 19:42:40] Training mlp across 300 data points in blobsthin...
[2021-03-14 19:42:40] Training loss: 2.3293
[2021-03-14 19:42:40] Testing on 5000 data points...
[2021-03-14 19:42:40] Test accuracy: 0.1000
[2021-03-14 19:42:40] Score for 300 labels: 0.1000
[2021-03-14 19:42:40] Showing labelled: False (4700/5000 visible)
[2021-03-14 19:42:40] Found 4700 unlabelled features.
[2021-03-14 19:42:41] Showing labelled: True (350/5000 visible)
[2021-03-14 19:42:41] Training mlp across 350 data points in blobsthin...
[2021-03-14 19:42:41] Training loss: 2.2798
[2021-03-14 19:42:41] Testing on 5000 data points...
[2021-03-14 19:42:41] Test accuracy: 0.1678
[2021-03-14 19:42:41] Score for 350 labels: 0.1678
[2021-03-14 19:42:41] Showing labelled: False (4650/5000 visible)
[2021-03-14 19:42:41] Found 4650 unlabelled features.
[2021-03-14 19:42:42] Showing labelled: True (400/5000 visible)
[2021-03-14 19:42:42] Training mlp across 400 data points in blobsthin...
[2021-03-14 19:42:43] Training loss: 2.2329
[2021-03-14 19:42:43] Testing on 5000 data points...
[2021-03-14 19:42:43] Test accuracy: 0.1032
[2021-03-14 19:42:43] Score for 400 labels: 0.1032
[2021-03-14 19:42:43] Showing labelled: False (4600/5000 visible)
[2021-03-14 19:42:43] Found 4600 unlabelled features.
[2021-03-14 19:42:44] Showing labelled: True (450/5000 visible)
[2021-03-14 19:42:44] Training mlp across 450 data points in blobsthin...
[2021-03-14 19:42:44] Training loss: 2.1758
[2021-03-14 19:42:44] Testing on 5000 data points...
[2021-03-14 19:42:44] Test accuracy: 0.1000
[2021-03-14 19:42:44] Score for 450 labels: 0.1000
[2021-03-14 19:42:44] Showing labelled: False (4550/5000 visible)
[2021-03-14 19:42:44] Found 4550 unlabelled features.
[2021-03-14 19:42:46] Showing labelled: True (500/5000 visible)
[2021-03-14 19:42:46] Training mlp across 500 data points in blobsthin...
[2021-03-14 19:42:46] Training loss: 2.1240
[2021-03-14 19:42:46] Testing on 5000 data points...
[2021-03-14 19:42:46] Test accuracy: 0.1000
[2021-03-14 19:42:46] Score for 500 labels: 0.1000
[2021-03-14 19:42:46] Showing labelled: False (4500/5000 visible)
[2021-03-14 19:42:46] Found 4500 unlabelled features.
[2021-03-14 19:42:47] Showing labelled: True (550/5000 visible)
[2021-03-14 19:42:47] Training mlp across 550 data points in blobsthin...
[2021-03-14 19:42:48] Training loss: 2.0649
[2021-03-14 19:42:48] Testing on 5000 data points...
[2021-03-14 19:42:48] Test accuracy: 0.1000
[2021-03-14 19:42:48] Score for 550 labels: 0.1000
[2021-03-14 19:42:48] Showing labelled: False (4450/5000 visible)
[2021-03-14 19:42:48] Found 4450 unlabelled features.
[2021-03-14 19:42:49] Showing labelled: True (600/5000 visible)
[2021-03-14 19:42:49] Training mlp across 600 data points in blobsthin...
[2021-03-14 19:42:50] Training loss: 2.0092
[2021-03-14 19:42:50] Testing on 5000 data points...
[2021-03-14 19:42:50] Test accuracy: 0.1000
[2021-03-14 19:42:50] Score for 600 labels: 0.1000
[2021-03-14 19:42:50] Showing labelled: False (4400/5000 visible)
[2021-03-14 19:42:50] Found 4400 unlabelled features.
[2021-03-14 19:42:51] Showing labelled: True (650/5000 visible)
[2021-03-14 19:42:51] Training mlp across 650 data points in blobsthin...
[2021-03-14 19:42:51] Training loss: 1.9425
[2021-03-14 19:42:51] Testing on 5000 data points...
[2021-03-14 19:42:51] Test accuracy: 0.1000
[2021-03-14 19:42:51] Score for 650 labels: 0.1000
[2021-03-14 19:42:51] Showing labelled: False (4350/5000 visible)
[2021-03-14 19:42:51] Found 4350 unlabelled features.
[2021-03-14 19:42:53] Showing labelled: True (700/5000 visible)
[2021-03-14 19:42:53] Training mlp across 700 data points in blobsthin...
[2021-03-14 19:42:53] Training loss: 1.8832
[2021-03-14 19:42:53] Testing on 5000 data points...
[2021-03-14 19:42:53] Test accuracy: 0.1000
[2021-03-14 19:42:53] Score for 700 labels: 0.1000
[2021-03-14 19:42:53] Showing labelled: False (4300/5000 visible)
[2021-03-14 19:42:53] Found 4300 unlabelled features.
[2021-03-14 19:42:55] Showing labelled: True (750/5000 visible)
[2021-03-14 19:42:55] Training mlp across 750 data points in blobsthin...
[2021-03-14 19:42:55] Training loss: 1.8272
[2021-03-14 19:42:55] Testing on 5000 data points...
[2021-03-14 19:42:55] Test accuracy: 0.1022
[2021-03-14 19:42:55] Score for 750 labels: 0.1022
[2021-03-14 19:42:55] Showing labelled: False (4250/5000 visible)
[2021-03-14 19:42:55] Found 4250 unlabelled features.
[2021-03-14 19:42:56] Showing labelled: True (800/5000 visible)
[2021-03-14 19:42:56] Training mlp across 800 data points in blobsthin...
[2021-03-14 19:42:57] Training loss: 1.7660
[2021-03-14 19:42:57] Testing on 5000 data points...
[2021-03-14 19:42:57] Test accuracy: 0.1354
[2021-03-14 19:42:57] Score for 800 labels: 0.1354
[2021-03-14 19:42:57] Showing labelled: False (4200/5000 visible)
[2021-03-14 19:42:57] Found 4200 unlabelled features.
[2021-03-14 19:42:58] Showing labelled: True (850/5000 visible)
[2021-03-14 19:42:58] Training mlp across 850 data points in blobsthin...
[2021-03-14 19:42:59] Training loss: 1.7215
[2021-03-14 19:42:59] Testing on 5000 data points...
[2021-03-14 19:42:59] Test accuracy: 0.1766
[2021-03-14 19:42:59] Score for 850 labels: 0.1766
[2021-03-14 19:42:59] Showing labelled: False (4150/5000 visible)
[2021-03-14 19:42:59] Found 4150 unlabelled features.
[2021-03-14 19:43:01] Showing labelled: True (900/5000 visible)
[2021-03-14 19:43:01] Training mlp across 900 data points in blobsthin...
[2021-03-14 19:43:01] Training loss: 1.6687
[2021-03-14 19:43:01] Testing on 5000 data points...
[2021-03-14 19:43:01] Test accuracy: 0.1976
[2021-03-14 19:43:01] Score for 900 labels: 0.1976
[2021-03-14 19:43:01] Showing labelled: False (4100/5000 visible)
[2021-03-14 19:43:01] Found 4100 unlabelled features.
[2021-03-14 19:43:03] Showing labelled: True (950/5000 visible)
[2021-03-14 19:43:03] Training mlp across 950 data points in blobsthin...
[2021-03-14 19:43:03] Training loss: 1.6108
[2021-03-14 19:43:03] Testing on 5000 data points...
[2021-03-14 19:43:04] Test accuracy: 0.2000
[2021-03-14 19:43:04] Score for 950 labels: 0.2000
[2021-03-14 19:43:04] Showing labelled: False (4050/5000 visible)
[2021-03-14 19:43:04] Found 4050 unlabelled features.
[2021-03-14 19:43:05] Showing labelled: True (1000/5000 visible)
[2021-03-14 19:43:05] Training mlp across 1000 data points in blobsthin...
[2021-03-14 19:43:06] Training loss: 1.5527
[2021-03-14 19:43:06] Testing on 5000 data points...
[2021-03-14 19:43:06] Test accuracy: 0.1976
[2021-03-14 19:43:06] Score for 1000 labels: 0.1976
[2021-03-14 19:43:06] Updated results: ../results/basic_positive/results.json
