[2021-03-16 13:14:36] Seeded: 5
[2021-03-16 13:14:36] Created experiment 0:
[2021-03-16 13:14:36]  - Model: mlp
[2021-03-16 13:14:36]  - Acquisition function: p-coreset
[2021-03-16 13:14:36] Loading blobsthin test set...
[2021-03-16 13:14:36] Generated 5000 blobs:
[2021-03-16 13:14:36] Class 0: 200
[2021-03-16 13:14:36] Class 1: 300
[2021-03-16 13:14:36] Class 2: 1000
[2021-03-16 13:14:36] Class 3: 100
[2021-03-16 13:14:36] Class 4: 50
[2021-03-16 13:14:36] Class 5: 200
[2021-03-16 13:14:36] Class 6: 400
[2021-03-16 13:14:36] Class 7: 1800
[2021-03-16 13:14:36] Class 8: 50
[2021-03-16 13:14:36] Class 9: 900
[2021-03-16 13:14:37] Saved figure to: ../data/blobsthin_data.png
[2021-03-16 13:14:37] Generated 5000 test points.
[2021-03-16 13:14:37] Saved figure to: ../data/blobsthin_test.png
[2021-03-16 13:14:37] Experiment repeat 1/4
[2021-03-16 13:14:37] Randomly labelled 50/5000
[2021-03-16 13:14:37] Showing labelled: True (50/5000 visible)
[2021-03-16 13:14:37] Running: experiment 0
[2021-03-16 13:14:37] Showing labelled: True (50/5000 visible)
[2021-03-16 13:14:37] mlp: initialized 1482 parameters.
[2021-03-16 13:14:37] Creating trainer with model on device: cuda
[2021-03-16 13:14:42] Training mlp across 50 data points in blobsthin...
[2021-03-16 13:14:42] Training loss: 1.5627
[2021-03-16 13:14:42] Testing on 5000 data points...
[2021-03-16 13:14:42] Test accuracy: 0.5000
[2021-03-16 13:14:42] Score for 50 labels: 0.5000
[2021-03-16 13:14:42] Showing labelled: False (4950/5000 visible)
[2021-03-16 13:14:42] Found 4950 unlabelled features.
[2021-03-16 13:14:42] Showing labelled: True (75/5000 visible)
[2021-03-16 13:14:42] Training mlp across 75 data points in blobsthin...
[2021-03-16 13:14:43] Training loss: 0.6415
[2021-03-16 13:14:43] Testing on 5000 data points...
[2021-03-16 13:14:43] Test accuracy: 0.6340
[2021-03-16 13:14:43] Score for 75 labels: 0.6340
[2021-03-16 13:14:43] Showing labelled: False (4925/5000 visible)
[2021-03-16 13:14:43] Found 4925 unlabelled features.
[2021-03-16 13:14:43] Showing labelled: True (100/5000 visible)
[2021-03-16 13:14:43] Training mlp across 100 data points in blobsthin...
[2021-03-16 13:14:43] Training loss: 0.3923
[2021-03-16 13:14:43] Testing on 5000 data points...
[2021-03-16 13:14:43] Test accuracy: 0.6896
[2021-03-16 13:14:43] Score for 100 labels: 0.6896
[2021-03-16 13:14:43] Showing labelled: False (4900/5000 visible)
[2021-03-16 13:14:43] Found 4900 unlabelled features.
[2021-03-16 13:14:43] Showing labelled: True (125/5000 visible)
[2021-03-16 13:14:43] Training mlp across 125 data points in blobsthin...
[2021-03-16 13:14:44] Training loss: 0.2139
[2021-03-16 13:14:44] Testing on 5000 data points...
[2021-03-16 13:14:44] Test accuracy: 0.7962
[2021-03-16 13:14:44] Score for 125 labels: 0.7962
[2021-03-16 13:14:44] Showing labelled: False (4875/5000 visible)
[2021-03-16 13:14:44] Found 4875 unlabelled features.
[2021-03-16 13:14:44] Showing labelled: True (150/5000 visible)
[2021-03-16 13:14:44] Training mlp across 150 data points in blobsthin...
[2021-03-16 13:14:45] Training loss: 0.1227
[2021-03-16 13:14:45] Testing on 5000 data points...
[2021-03-16 13:14:45] Test accuracy: 0.8212
[2021-03-16 13:14:45] Score for 150 labels: 0.8212
[2021-03-16 13:14:45] Showing labelled: False (4850/5000 visible)
[2021-03-16 13:14:45] Found 4850 unlabelled features.
[2021-03-16 13:14:45] Showing labelled: True (175/5000 visible)
[2021-03-16 13:14:45] Training mlp across 175 data points in blobsthin...
[2021-03-16 13:14:46] Training loss: 0.0764
[2021-03-16 13:14:46] Testing on 5000 data points...
[2021-03-16 13:14:46] Test accuracy: 0.9168
[2021-03-16 13:14:46] Score for 175 labels: 0.9168
[2021-03-16 13:14:46] Showing labelled: False (4825/5000 visible)
[2021-03-16 13:14:46] Found 4825 unlabelled features.
[2021-03-16 13:14:46] Showing labelled: True (200/5000 visible)
[2021-03-16 13:14:46] Training mlp across 200 data points in blobsthin...
[2021-03-16 13:14:47] Training loss: 0.0483
[2021-03-16 13:14:47] Testing on 5000 data points...
[2021-03-16 13:14:47] Test accuracy: 0.9728
[2021-03-16 13:14:47] Score for 200 labels: 0.9728
[2021-03-16 13:14:47] Showing labelled: False (4800/5000 visible)
[2021-03-16 13:14:47] Found 4800 unlabelled features.
[2021-03-16 13:14:47] Showing labelled: True (225/5000 visible)
[2021-03-16 13:14:47] Training mlp across 225 data points in blobsthin...
[2021-03-16 13:14:48] Training loss: 0.0360
[2021-03-16 13:14:48] Testing on 5000 data points...
[2021-03-16 13:14:48] Test accuracy: 0.9870
[2021-03-16 13:14:48] Score for 225 labels: 0.9870
[2021-03-16 13:14:48] Showing labelled: False (4775/5000 visible)
[2021-03-16 13:14:48] Found 4775 unlabelled features.
[2021-03-16 13:14:48] Showing labelled: True (250/5000 visible)
[2021-03-16 13:14:48] Training mlp across 250 data points in blobsthin...
[2021-03-16 13:14:49] Training loss: 0.0245
[2021-03-16 13:14:49] Testing on 5000 data points...
[2021-03-16 13:14:50] Test accuracy: 0.9906
[2021-03-16 13:14:50] Score for 250 labels: 0.9906
[2021-03-16 13:14:50] Showing labelled: False (4750/5000 visible)
[2021-03-16 13:14:50] Found 4750 unlabelled features.
[2021-03-16 13:14:50] Showing labelled: True (275/5000 visible)
[2021-03-16 13:14:50] Training mlp across 275 data points in blobsthin...
[2021-03-16 13:14:51] Training loss: 0.0175
[2021-03-16 13:14:51] Testing on 5000 data points...
[2021-03-16 13:14:51] Test accuracy: 0.9924
[2021-03-16 13:14:51] Score for 275 labels: 0.9924
[2021-03-16 13:14:51] Showing labelled: False (4725/5000 visible)
[2021-03-16 13:14:51] Found 4725 unlabelled features.
[2021-03-16 13:14:51] Showing labelled: True (300/5000 visible)
[2021-03-16 13:14:51] Training mlp across 300 data points in blobsthin...
[2021-03-16 13:14:53] Training loss: 0.0142
[2021-03-16 13:14:53] Testing on 5000 data points...
[2021-03-16 13:14:53] Test accuracy: 0.9942
[2021-03-16 13:14:53] Score for 300 labels: 0.9942
[2021-03-16 13:14:53] Experiment repeat 2/4
[2021-03-16 13:14:53] Randomly labelled 50/5000
[2021-03-16 13:14:53] Showing labelled: True (50/5000 visible)
[2021-03-16 13:14:53] Running: experiment 0
[2021-03-16 13:14:53] Showing labelled: True (50/5000 visible)
[2021-03-16 13:14:53] mlp: initialized 1482 parameters.
[2021-03-16 13:14:53] Creating trainer with model on device: cuda
[2021-03-16 13:14:53] Training mlp across 50 data points in blobsthin...
[2021-03-16 13:14:53] Training loss: 1.2566
[2021-03-16 13:14:53] Testing on 5000 data points...
[2021-03-16 13:14:53] Test accuracy: 0.4000
[2021-03-16 13:14:53] Score for 50 labels: 0.4000
[2021-03-16 13:14:53] Showing labelled: False (4950/5000 visible)
[2021-03-16 13:14:53] Found 4950 unlabelled features.
[2021-03-16 13:14:53] Showing labelled: True (75/5000 visible)
[2021-03-16 13:14:53] Training mlp across 75 data points in blobsthin...
[2021-03-16 13:14:53] Training loss: 0.6145
[2021-03-16 13:14:53] Testing on 5000 data points...
[2021-03-16 13:14:54] Test accuracy: 0.7940
[2021-03-16 13:14:54] Score for 75 labels: 0.7940
[2021-03-16 13:14:54] Showing labelled: False (4925/5000 visible)
[2021-03-16 13:14:54] Found 4925 unlabelled features.
[2021-03-16 13:14:54] Showing labelled: True (100/5000 visible)
[2021-03-16 13:14:54] Training mlp across 100 data points in blobsthin...
[2021-03-16 13:14:54] Training loss: 0.3030
[2021-03-16 13:14:54] Testing on 5000 data points...
[2021-03-16 13:14:54] Test accuracy: 0.8890
[2021-03-16 13:14:54] Score for 100 labels: 0.8890
[2021-03-16 13:14:54] Showing labelled: False (4900/5000 visible)
[2021-03-16 13:14:54] Found 4900 unlabelled features.
[2021-03-16 13:14:54] Showing labelled: True (125/5000 visible)
[2021-03-16 13:14:54] Training mlp across 125 data points in blobsthin...
[2021-03-16 13:14:55] Training loss: 0.1739
[2021-03-16 13:14:55] Testing on 5000 data points...
[2021-03-16 13:14:55] Test accuracy: 0.8952
[2021-03-16 13:14:55] Score for 125 labels: 0.8952
[2021-03-16 13:14:55] Showing labelled: False (4875/5000 visible)
[2021-03-16 13:14:55] Found 4875 unlabelled features.
[2021-03-16 13:14:55] Showing labelled: True (150/5000 visible)
[2021-03-16 13:14:55] Training mlp across 150 data points in blobsthin...
[2021-03-16 13:14:56] Training loss: 0.1050
[2021-03-16 13:14:56] Testing on 5000 data points...
[2021-03-16 13:14:56] Test accuracy: 0.8996
[2021-03-16 13:14:56] Score for 150 labels: 0.8996
[2021-03-16 13:14:56] Showing labelled: False (4850/5000 visible)
[2021-03-16 13:14:56] Found 4850 unlabelled features.
[2021-03-16 13:14:56] Showing labelled: True (175/5000 visible)
[2021-03-16 13:14:56] Training mlp across 175 data points in blobsthin...
[2021-03-16 13:14:57] Training loss: 0.0689
[2021-03-16 13:14:57] Testing on 5000 data points...
[2021-03-16 13:14:57] Test accuracy: 0.9286
[2021-03-16 13:14:57] Score for 175 labels: 0.9286
[2021-03-16 13:14:57] Showing labelled: False (4825/5000 visible)
[2021-03-16 13:14:57] Found 4825 unlabelled features.
[2021-03-16 13:14:57] Showing labelled: True (200/5000 visible)
[2021-03-16 13:14:57] Training mlp across 200 data points in blobsthin...
[2021-03-16 13:14:58] Training loss: 0.0467
[2021-03-16 13:14:58] Testing on 5000 data points...
[2021-03-16 13:14:58] Test accuracy: 0.9736
[2021-03-16 13:14:58] Score for 200 labels: 0.9736
[2021-03-16 13:14:58] Showing labelled: False (4800/5000 visible)
[2021-03-16 13:14:58] Found 4800 unlabelled features.
[2021-03-16 13:14:58] Showing labelled: True (225/5000 visible)
[2021-03-16 13:14:58] Training mlp across 225 data points in blobsthin...
[2021-03-16 13:14:59] Training loss: 0.0305
[2021-03-16 13:14:59] Testing on 5000 data points...
[2021-03-16 13:14:59] Test accuracy: 0.9830
[2021-03-16 13:14:59] Score for 225 labels: 0.9830
[2021-03-16 13:14:59] Showing labelled: False (4775/5000 visible)
[2021-03-16 13:14:59] Found 4775 unlabelled features.
[2021-03-16 13:14:59] Showing labelled: True (250/5000 visible)
[2021-03-16 13:14:59] Training mlp across 250 data points in blobsthin...
[2021-03-16 13:15:01] Training loss: 0.0211
[2021-03-16 13:15:01] Testing on 5000 data points...
[2021-03-16 13:15:01] Test accuracy: 0.9876
[2021-03-16 13:15:01] Score for 250 labels: 0.9876
[2021-03-16 13:15:01] Showing labelled: False (4750/5000 visible)
[2021-03-16 13:15:01] Found 4750 unlabelled features.
[2021-03-16 13:15:01] Showing labelled: True (275/5000 visible)
[2021-03-16 13:15:01] Training mlp across 275 data points in blobsthin...
[2021-03-16 13:15:02] Training loss: 0.0216
[2021-03-16 13:15:02] Testing on 5000 data points...
[2021-03-16 13:15:02] Test accuracy: 0.9934
[2021-03-16 13:15:02] Score for 275 labels: 0.9934
[2021-03-16 13:15:02] Showing labelled: False (4725/5000 visible)
[2021-03-16 13:15:02] Found 4725 unlabelled features.
[2021-03-16 13:15:02] Showing labelled: True (300/5000 visible)
[2021-03-16 13:15:02] Training mlp across 300 data points in blobsthin...
[2021-03-16 13:15:04] Training loss: 0.0160
[2021-03-16 13:15:04] Testing on 5000 data points...
[2021-03-16 13:15:04] Test accuracy: 0.9942
[2021-03-16 13:15:04] Score for 300 labels: 0.9942
[2021-03-16 13:15:04] Experiment repeat 3/4
[2021-03-16 13:15:04] Randomly labelled 50/5000
[2021-03-16 13:15:04] Showing labelled: True (50/5000 visible)
[2021-03-16 13:15:04] Running: experiment 0
[2021-03-16 13:15:04] Showing labelled: True (50/5000 visible)
[2021-03-16 13:15:04] mlp: initialized 1482 parameters.
[2021-03-16 13:15:04] Creating trainer with model on device: cuda
[2021-03-16 13:15:04] Training mlp across 50 data points in blobsthin...
[2021-03-16 13:15:04] Training loss: 1.3157
[2021-03-16 13:15:04] Testing on 5000 data points...
[2021-03-16 13:15:04] Test accuracy: 0.5000
[2021-03-16 13:15:04] Score for 50 labels: 0.5000
[2021-03-16 13:15:04] Showing labelled: False (4950/5000 visible)
[2021-03-16 13:15:04] Found 4950 unlabelled features.
[2021-03-16 13:15:04] Showing labelled: True (75/5000 visible)
[2021-03-16 13:15:04] Training mlp across 75 data points in blobsthin...
[2021-03-16 13:15:05] Training loss: 0.6752
[2021-03-16 13:15:05] Testing on 5000 data points...
[2021-03-16 13:15:05] Test accuracy: 0.7348
[2021-03-16 13:15:05] Score for 75 labels: 0.7348
[2021-03-16 13:15:05] Showing labelled: False (4925/5000 visible)
[2021-03-16 13:15:05] Found 4925 unlabelled features.
[2021-03-16 13:15:05] Showing labelled: True (100/5000 visible)
[2021-03-16 13:15:05] Training mlp across 100 data points in blobsthin...
[2021-03-16 13:15:05] Training loss: 0.2932
[2021-03-16 13:15:05] Testing on 5000 data points...
[2021-03-16 13:15:05] Test accuracy: 0.7710
[2021-03-16 13:15:05] Score for 100 labels: 0.7710
[2021-03-16 13:15:05] Showing labelled: False (4900/5000 visible)
[2021-03-16 13:15:05] Found 4900 unlabelled features.
[2021-03-16 13:15:06] Showing labelled: True (125/5000 visible)
[2021-03-16 13:15:06] Training mlp across 125 data points in blobsthin...
[2021-03-16 13:15:06] Training loss: 0.1659
[2021-03-16 13:15:06] Testing on 5000 data points...
[2021-03-16 13:15:06] Test accuracy: 0.8814
[2021-03-16 13:15:06] Score for 125 labels: 0.8814
[2021-03-16 13:15:06] Showing labelled: False (4875/5000 visible)
[2021-03-16 13:15:06] Found 4875 unlabelled features.
[2021-03-16 13:15:06] Showing labelled: True (150/5000 visible)
[2021-03-16 13:15:06] Training mlp across 150 data points in blobsthin...
[2021-03-16 13:15:07] Training loss: 0.0978
[2021-03-16 13:15:07] Testing on 5000 data points...
[2021-03-16 13:15:07] Test accuracy: 0.9016
[2021-03-16 13:15:07] Score for 150 labels: 0.9016
[2021-03-16 13:15:07] Showing labelled: False (4850/5000 visible)
[2021-03-16 13:15:07] Found 4850 unlabelled features.
[2021-03-16 13:15:07] Showing labelled: True (175/5000 visible)
[2021-03-16 13:15:07] Training mlp across 175 data points in blobsthin...
[2021-03-16 13:15:08] Training loss: 0.0710
[2021-03-16 13:15:08] Testing on 5000 data points...
[2021-03-16 13:15:08] Test accuracy: 0.9380
[2021-03-16 13:15:08] Score for 175 labels: 0.9380
[2021-03-16 13:15:08] Showing labelled: False (4825/5000 visible)
[2021-03-16 13:15:08] Found 4825 unlabelled features.
[2021-03-16 13:15:09] Showing labelled: True (200/5000 visible)
[2021-03-16 13:15:09] Training mlp across 200 data points in blobsthin...
[2021-03-16 13:15:10] Training loss: 0.0496
[2021-03-16 13:15:10] Testing on 5000 data points...
[2021-03-16 13:15:10] Test accuracy: 0.9540
[2021-03-16 13:15:10] Score for 200 labels: 0.9540
[2021-03-16 13:15:10] Showing labelled: False (4800/5000 visible)
[2021-03-16 13:15:10] Found 4800 unlabelled features.
[2021-03-16 13:15:10] Showing labelled: True (225/5000 visible)
[2021-03-16 13:15:10] Training mlp across 225 data points in blobsthin...
[2021-03-16 13:15:11] Training loss: 0.0341
[2021-03-16 13:15:11] Testing on 5000 data points...
[2021-03-16 13:15:11] Test accuracy: 0.9584
[2021-03-16 13:15:11] Score for 225 labels: 0.9584
[2021-03-16 13:15:11] Showing labelled: False (4775/5000 visible)
[2021-03-16 13:15:11] Found 4775 unlabelled features.
[2021-03-16 13:15:11] Showing labelled: True (250/5000 visible)
[2021-03-16 13:15:11] Training mlp across 250 data points in blobsthin...
[2021-03-16 13:15:12] Training loss: 0.0252
[2021-03-16 13:15:12] Testing on 5000 data points...
[2021-03-16 13:15:12] Test accuracy: 0.9632
[2021-03-16 13:15:12] Score for 250 labels: 0.9632
[2021-03-16 13:15:12] Showing labelled: False (4750/5000 visible)
[2021-03-16 13:15:12] Found 4750 unlabelled features.
[2021-03-16 13:15:13] Showing labelled: True (275/5000 visible)
[2021-03-16 13:15:13] Training mlp across 275 data points in blobsthin...
[2021-03-16 13:15:14] Training loss: 0.0296
[2021-03-16 13:15:14] Testing on 5000 data points...
[2021-03-16 13:15:14] Test accuracy: 0.9788
[2021-03-16 13:15:14] Score for 275 labels: 0.9788
[2021-03-16 13:15:14] Showing labelled: False (4725/5000 visible)
[2021-03-16 13:15:14] Found 4725 unlabelled features.
[2021-03-16 13:15:15] Showing labelled: True (300/5000 visible)
[2021-03-16 13:15:15] Training mlp across 300 data points in blobsthin...
[2021-03-16 13:15:16] Training loss: 0.0223
[2021-03-16 13:15:16] Testing on 5000 data points...
[2021-03-16 13:15:16] Test accuracy: 0.9840
[2021-03-16 13:15:16] Score for 300 labels: 0.9840
[2021-03-16 13:15:16] Experiment repeat 4/4
[2021-03-16 13:15:16] Randomly labelled 50/5000
[2021-03-16 13:15:16] Showing labelled: True (50/5000 visible)
[2021-03-16 13:15:16] Running: experiment 0
[2021-03-16 13:15:16] Showing labelled: True (50/5000 visible)
[2021-03-16 13:15:16] mlp: initialized 1482 parameters.
[2021-03-16 13:15:16] Creating trainer with model on device: cuda
[2021-03-16 13:15:16] Training mlp across 50 data points in blobsthin...
[2021-03-16 13:15:16] Training loss: 1.3010
[2021-03-16 13:15:16] Testing on 5000 data points...
[2021-03-16 13:15:17] Test accuracy: 0.4500
[2021-03-16 13:15:17] Score for 50 labels: 0.4500
[2021-03-16 13:15:17] Showing labelled: False (4950/5000 visible)
[2021-03-16 13:15:17] Found 4950 unlabelled features.
[2021-03-16 13:15:17] Showing labelled: True (75/5000 visible)
[2021-03-16 13:15:17] Training mlp across 75 data points in blobsthin...
[2021-03-16 13:15:17] Training loss: 0.6461
[2021-03-16 13:15:17] Testing on 5000 data points...
[2021-03-16 13:15:17] Test accuracy: 0.6740
[2021-03-16 13:15:17] Score for 75 labels: 0.6740
[2021-03-16 13:15:17] Showing labelled: False (4925/5000 visible)
[2021-03-16 13:15:17] Found 4925 unlabelled features.
[2021-03-16 13:15:17] Showing labelled: True (100/5000 visible)
[2021-03-16 13:15:17] Training mlp across 100 data points in blobsthin...
[2021-03-16 13:15:18] Training loss: 0.3273
[2021-03-16 13:15:18] Testing on 5000 data points...
[2021-03-16 13:15:18] Test accuracy: 0.7778
[2021-03-16 13:15:18] Score for 100 labels: 0.7778
[2021-03-16 13:15:18] Showing labelled: False (4900/5000 visible)
[2021-03-16 13:15:18] Found 4900 unlabelled features.
[2021-03-16 13:15:18] Showing labelled: True (125/5000 visible)
[2021-03-16 13:15:18] Training mlp across 125 data points in blobsthin...
[2021-03-16 13:15:19] Training loss: 0.1848
[2021-03-16 13:15:19] Testing on 5000 data points...
[2021-03-16 13:15:19] Test accuracy: 0.8938
[2021-03-16 13:15:19] Score for 125 labels: 0.8938
[2021-03-16 13:15:19] Showing labelled: False (4875/5000 visible)
[2021-03-16 13:15:19] Found 4875 unlabelled features.
[2021-03-16 13:15:19] Showing labelled: True (150/5000 visible)
[2021-03-16 13:15:19] Training mlp across 150 data points in blobsthin...
[2021-03-16 13:15:20] Training loss: 0.1251
[2021-03-16 13:15:20] Testing on 5000 data points...
[2021-03-16 13:15:20] Test accuracy: 0.9154
[2021-03-16 13:15:20] Score for 150 labels: 0.9154
[2021-03-16 13:15:20] Showing labelled: False (4850/5000 visible)
[2021-03-16 13:15:20] Found 4850 unlabelled features.
[2021-03-16 13:15:20] Showing labelled: True (175/5000 visible)
[2021-03-16 13:15:20] Training mlp across 175 data points in blobsthin...
[2021-03-16 13:15:21] Training loss: 0.0849
[2021-03-16 13:15:21] Testing on 5000 data points...
[2021-03-16 13:15:21] Test accuracy: 0.9436
[2021-03-16 13:15:21] Score for 175 labels: 0.9436
[2021-03-16 13:15:21] Showing labelled: False (4825/5000 visible)
[2021-03-16 13:15:21] Found 4825 unlabelled features.
[2021-03-16 13:15:21] Showing labelled: True (200/5000 visible)
[2021-03-16 13:15:21] Training mlp across 200 data points in blobsthin...
[2021-03-16 13:15:22] Training loss: 0.0586
[2021-03-16 13:15:22] Testing on 5000 data points...
[2021-03-16 13:15:22] Test accuracy: 0.9716
[2021-03-16 13:15:22] Score for 200 labels: 0.9716
[2021-03-16 13:15:22] Showing labelled: False (4800/5000 visible)
[2021-03-16 13:15:22] Found 4800 unlabelled features.
[2021-03-16 13:15:22] Showing labelled: True (225/5000 visible)
[2021-03-16 13:15:22] Training mlp across 225 data points in blobsthin...
[2021-03-16 13:15:23] Training loss: 0.0400
[2021-03-16 13:15:23] Testing on 5000 data points...
[2021-03-16 13:15:23] Test accuracy: 0.9842
[2021-03-16 13:15:23] Score for 225 labels: 0.9842
[2021-03-16 13:15:23] Showing labelled: False (4775/5000 visible)
[2021-03-16 13:15:23] Found 4775 unlabelled features.
[2021-03-16 13:15:24] Showing labelled: True (250/5000 visible)
[2021-03-16 13:15:24] Training mlp across 250 data points in blobsthin...
[2021-03-16 13:15:25] Training loss: 0.0281
[2021-03-16 13:15:25] Testing on 5000 data points...
[2021-03-16 13:15:25] Test accuracy: 0.9862
[2021-03-16 13:15:25] Score for 250 labels: 0.9862
[2021-03-16 13:15:25] Showing labelled: False (4750/5000 visible)
[2021-03-16 13:15:25] Found 4750 unlabelled features.
[2021-03-16 13:15:25] Showing labelled: True (275/5000 visible)
[2021-03-16 13:15:25] Training mlp across 275 data points in blobsthin...
[2021-03-16 13:15:27] Training loss: 0.0202
[2021-03-16 13:15:27] Testing on 5000 data points...
[2021-03-16 13:15:27] Test accuracy: 0.9896
[2021-03-16 13:15:27] Score for 275 labels: 0.9896
[2021-03-16 13:15:27] Showing labelled: False (4725/5000 visible)
[2021-03-16 13:15:27] Found 4725 unlabelled features.
[2021-03-16 13:15:27] Showing labelled: True (300/5000 visible)
[2021-03-16 13:15:27] Training mlp across 300 data points in blobsthin...
[2021-03-16 13:15:28] Training loss: 0.0188
[2021-03-16 13:15:28] Testing on 5000 data points...
[2021-03-16 13:15:28] Test accuracy: 0.9932
[2021-03-16 13:15:28] Score for 300 labels: 0.9932
[2021-03-16 13:15:28] Updated results: ../results/singlegmm_p_coreset_focus/results.json
