[2021-03-16 23:43:47] Seeded: 5
[2021-03-16 23:43:47] Created experiment 0:
[2021-03-16 23:43:47]  - Model: mlp
[2021-03-16 23:43:47]  - Acquisition function: least-confidence
[2021-03-16 23:43:47] Loading blobs test set...
[2021-03-16 23:43:47] Generated 5000 blobs:
[2021-03-16 23:43:47] Class 0: 200
[2021-03-16 23:43:47] Class 1: 300
[2021-03-16 23:43:47] Class 2: 1000
[2021-03-16 23:43:47] Class 3: 100
[2021-03-16 23:43:47] Class 4: 50
[2021-03-16 23:43:47] Class 5: 200
[2021-03-16 23:43:47] Class 6: 400
[2021-03-16 23:43:47] Class 7: 1800
[2021-03-16 23:43:47] Class 8: 50
[2021-03-16 23:43:47] Class 9: 900
[2021-03-16 23:43:47] Saved figure to: ../data/blobs_data.png
[2021-03-16 23:43:47] Generated 5000 test points.
[2021-03-16 23:43:47] Saved figure to: ../data/blobs_test.png
[2021-03-16 23:43:47] Experiment repeat 1/4
[2021-03-16 23:43:47] Randomly labelled 50/5000
[2021-03-16 23:43:47] Showing labelled: True (50/5000 visible)
[2021-03-16 23:43:47] Running: experiment 0
[2021-03-16 23:43:47] Showing labelled: True (50/5000 visible)
[2021-03-16 23:43:47] mlp: initialized 1482 parameters.
[2021-03-16 23:43:47] Creating trainer with model on device: cuda
[2021-03-16 23:43:52] Training mlp across 50 data points in blobs...
[2021-03-16 23:43:54] Training accuracy: 0.8093
[2021-03-16 23:43:54] Testing on 5000 data points...
[2021-03-16 23:43:54] Test accuracy: 0.6140
[2021-03-16 23:43:54] Score for 50 labels: 0.6140
[2021-03-16 23:43:54] Showing labelled: False (4950/5000 visible)
[2021-03-16 23:43:54] Found 4950 unlabelled features.
[2021-03-16 23:43:54] Showing labelled: True (75/5000 visible)
[2021-03-16 23:43:54] Training mlp across 75 data points in blobs...
[2021-03-16 23:43:57] Training accuracy: 0.9073
[2021-03-16 23:43:57] Testing on 5000 data points...
[2021-03-16 23:43:57] Test accuracy: 0.6620
[2021-03-16 23:43:57] Score for 75 labels: 0.6620
[2021-03-16 23:43:57] Showing labelled: False (4925/5000 visible)
[2021-03-16 23:43:57] Found 4925 unlabelled features.
[2021-03-16 23:43:57] Showing labelled: True (100/5000 visible)
[2021-03-16 23:43:57] Training mlp across 100 data points in blobs...
[2021-03-16 23:44:00] Training accuracy: 0.9058
[2021-03-16 23:44:00] Testing on 5000 data points...
[2021-03-16 23:44:00] Test accuracy: 0.6518
[2021-03-16 23:44:00] Score for 100 labels: 0.6518
[2021-03-16 23:44:00] Showing labelled: False (4900/5000 visible)
[2021-03-16 23:44:00] Found 4900 unlabelled features.
[2021-03-16 23:44:00] Showing labelled: True (125/5000 visible)
[2021-03-16 23:44:00] Training mlp across 125 data points in blobs...
[2021-03-16 23:44:03] Training accuracy: 0.8802
[2021-03-16 23:44:03] Testing on 5000 data points...
[2021-03-16 23:44:03] Test accuracy: 0.7784
[2021-03-16 23:44:03] Score for 125 labels: 0.7784
[2021-03-16 23:44:03] Showing labelled: False (4875/5000 visible)
[2021-03-16 23:44:03] Found 4875 unlabelled features.
[2021-03-16 23:44:03] Showing labelled: True (150/5000 visible)
[2021-03-16 23:44:03] Training mlp across 150 data points in blobs...
[2021-03-16 23:44:08] Training accuracy: 0.8602
[2021-03-16 23:44:08] Testing on 5000 data points...
[2021-03-16 23:44:08] Test accuracy: 0.7922
[2021-03-16 23:44:08] Score for 150 labels: 0.7922
[2021-03-16 23:44:08] Showing labelled: False (4850/5000 visible)
[2021-03-16 23:44:08] Found 4850 unlabelled features.
[2021-03-16 23:44:08] Showing labelled: True (175/5000 visible)
[2021-03-16 23:44:08] Training mlp across 175 data points in blobs...
[2021-03-16 23:44:13] Training accuracy: 0.8172
[2021-03-16 23:44:13] Testing on 5000 data points...
[2021-03-16 23:44:14] Test accuracy: 0.8000
[2021-03-16 23:44:14] Score for 175 labels: 0.8000
[2021-03-16 23:44:14] Showing labelled: False (4825/5000 visible)
[2021-03-16 23:44:14] Found 4825 unlabelled features.
[2021-03-16 23:44:14] Showing labelled: True (200/5000 visible)
[2021-03-16 23:44:14] Training mlp across 200 data points in blobs...
[2021-03-16 23:44:19] Training accuracy: 0.8040
[2021-03-16 23:44:19] Testing on 5000 data points...
[2021-03-16 23:44:19] Test accuracy: 0.8008
[2021-03-16 23:44:19] Score for 200 labels: 0.8008
[2021-03-16 23:44:19] Showing labelled: False (4800/5000 visible)
[2021-03-16 23:44:19] Found 4800 unlabelled features.
[2021-03-16 23:44:19] Showing labelled: True (225/5000 visible)
[2021-03-16 23:44:19] Training mlp across 225 data points in blobs...
[2021-03-16 23:44:25] Training accuracy: 0.7919
[2021-03-16 23:44:25] Testing on 5000 data points...
[2021-03-16 23:44:25] Test accuracy: 0.7928
[2021-03-16 23:44:25] Score for 225 labels: 0.7928
[2021-03-16 23:44:25] Showing labelled: False (4775/5000 visible)
[2021-03-16 23:44:25] Found 4775 unlabelled features.
[2021-03-16 23:44:25] Showing labelled: True (250/5000 visible)
[2021-03-16 23:44:25] Training mlp across 250 data points in blobs...
[2021-03-16 23:44:32] Training accuracy: 0.7887
[2021-03-16 23:44:32] Testing on 5000 data points...
[2021-03-16 23:44:32] Test accuracy: 0.7896
[2021-03-16 23:44:32] Score for 250 labels: 0.7896
[2021-03-16 23:44:32] Showing labelled: False (4750/5000 visible)
[2021-03-16 23:44:32] Found 4750 unlabelled features.
[2021-03-16 23:44:32] Showing labelled: True (275/5000 visible)
[2021-03-16 23:44:32] Training mlp across 275 data points in blobs...
[2021-03-16 23:44:41] Training accuracy: 0.7685
[2021-03-16 23:44:41] Testing on 5000 data points...
[2021-03-16 23:44:41] Test accuracy: 0.7908
[2021-03-16 23:44:41] Score for 275 labels: 0.7908
[2021-03-16 23:44:41] Showing labelled: False (4725/5000 visible)
[2021-03-16 23:44:41] Found 4725 unlabelled features.
[2021-03-16 23:44:41] Showing labelled: True (300/5000 visible)
[2021-03-16 23:44:41] Training mlp across 300 data points in blobs...
[2021-03-16 23:44:50] Training accuracy: 0.7610
[2021-03-16 23:44:50] Testing on 5000 data points...
[2021-03-16 23:44:50] Test accuracy: 0.8006
[2021-03-16 23:44:50] Score for 300 labels: 0.8006
[2021-03-16 23:44:50] Experiment repeat 2/4
[2021-03-16 23:44:50] Randomly labelled 50/5000
[2021-03-16 23:44:50] Showing labelled: True (50/5000 visible)
[2021-03-16 23:44:50] Running: experiment 0
[2021-03-16 23:44:50] Showing labelled: True (50/5000 visible)
[2021-03-16 23:44:50] mlp: initialized 1482 parameters.
[2021-03-16 23:44:50] Creating trainer with model on device: cuda
[2021-03-16 23:44:50] Training mlp across 50 data points in blobs...
[2021-03-16 23:44:52] Training accuracy: 0.8047
[2021-03-16 23:44:52] Testing on 5000 data points...
[2021-03-16 23:44:52] Test accuracy: 0.8316
[2021-03-16 23:44:52] Score for 50 labels: 0.8316
[2021-03-16 23:44:52] Showing labelled: False (4950/5000 visible)
[2021-03-16 23:44:52] Found 4950 unlabelled features.
[2021-03-16 23:44:52] Showing labelled: True (75/5000 visible)
[2021-03-16 23:44:52] Training mlp across 75 data points in blobs...
[2021-03-16 23:44:54] Training accuracy: 0.8822
[2021-03-16 23:44:54] Testing on 5000 data points...
[2021-03-16 23:44:54] Test accuracy: 0.8724
[2021-03-16 23:44:54] Score for 75 labels: 0.8724
[2021-03-16 23:44:54] Showing labelled: False (4925/5000 visible)
[2021-03-16 23:44:54] Found 4925 unlabelled features.
[2021-03-16 23:44:54] Showing labelled: True (100/5000 visible)
[2021-03-16 23:44:54] Training mlp across 100 data points in blobs...
[2021-03-16 23:44:58] Training accuracy: 0.8662
[2021-03-16 23:44:58] Testing on 5000 data points...
[2021-03-16 23:44:58] Test accuracy: 0.8830
[2021-03-16 23:44:58] Score for 100 labels: 0.8830
[2021-03-16 23:44:58] Showing labelled: False (4900/5000 visible)
[2021-03-16 23:44:58] Found 4900 unlabelled features.
[2021-03-16 23:44:58] Showing labelled: True (125/5000 visible)
[2021-03-16 23:44:58] Training mlp across 125 data points in blobs...
[2021-03-16 23:45:03] Training accuracy: 0.8754
[2021-03-16 23:45:03] Testing on 5000 data points...
[2021-03-16 23:45:03] Test accuracy: 0.8976
[2021-03-16 23:45:03] Score for 125 labels: 0.8976
[2021-03-16 23:45:03] Showing labelled: False (4875/5000 visible)
[2021-03-16 23:45:03] Found 4875 unlabelled features.
[2021-03-16 23:45:04] Showing labelled: True (150/5000 visible)
[2021-03-16 23:45:04] Training mlp across 150 data points in blobs...
[2021-03-16 23:45:08] Training accuracy: 0.8610
[2021-03-16 23:45:08] Testing on 5000 data points...
[2021-03-16 23:45:08] Test accuracy: 0.9006
[2021-03-16 23:45:08] Score for 150 labels: 0.9006
[2021-03-16 23:45:08] Showing labelled: False (4850/5000 visible)
[2021-03-16 23:45:08] Found 4850 unlabelled features.
[2021-03-16 23:45:08] Showing labelled: True (175/5000 visible)
[2021-03-16 23:45:08] Training mlp across 175 data points in blobs...
[2021-03-16 23:45:13] Training accuracy: 0.8305
[2021-03-16 23:45:13] Testing on 5000 data points...
[2021-03-16 23:45:13] Test accuracy: 0.8946
[2021-03-16 23:45:13] Score for 175 labels: 0.8946
[2021-03-16 23:45:13] Showing labelled: False (4825/5000 visible)
[2021-03-16 23:45:13] Found 4825 unlabelled features.
[2021-03-16 23:45:13] Showing labelled: True (200/5000 visible)
[2021-03-16 23:45:13] Training mlp across 200 data points in blobs...
[2021-03-16 23:45:19] Training accuracy: 0.8271
[2021-03-16 23:45:19] Testing on 5000 data points...
[2021-03-16 23:45:19] Test accuracy: 0.8872
[2021-03-16 23:45:19] Score for 200 labels: 0.8872
[2021-03-16 23:45:19] Showing labelled: False (4800/5000 visible)
[2021-03-16 23:45:19] Found 4800 unlabelled features.
[2021-03-16 23:45:19] Showing labelled: True (225/5000 visible)
[2021-03-16 23:45:19] Training mlp across 225 data points in blobs...
[2021-03-16 23:45:27] Training accuracy: 0.8025
[2021-03-16 23:45:27] Testing on 5000 data points...
[2021-03-16 23:45:27] Test accuracy: 0.8978
[2021-03-16 23:45:27] Score for 225 labels: 0.8978
[2021-03-16 23:45:27] Showing labelled: False (4775/5000 visible)
[2021-03-16 23:45:27] Found 4775 unlabelled features.
[2021-03-16 23:45:27] Showing labelled: True (250/5000 visible)
[2021-03-16 23:45:27] Training mlp across 250 data points in blobs...
[2021-03-16 23:45:34] Training accuracy: 0.7880
[2021-03-16 23:45:34] Testing on 5000 data points...
[2021-03-16 23:45:34] Test accuracy: 0.9002
[2021-03-16 23:45:34] Score for 250 labels: 0.9002
[2021-03-16 23:45:34] Showing labelled: False (4750/5000 visible)
[2021-03-16 23:45:34] Found 4750 unlabelled features.
[2021-03-16 23:45:34] Showing labelled: True (275/5000 visible)
[2021-03-16 23:45:34] Training mlp across 275 data points in blobs...
[2021-03-16 23:45:42] Training accuracy: 0.7721
[2021-03-16 23:45:42] Testing on 5000 data points...
[2021-03-16 23:45:42] Test accuracy: 0.9058
[2021-03-16 23:45:42] Score for 275 labels: 0.9058
[2021-03-16 23:45:42] Showing labelled: False (4725/5000 visible)
[2021-03-16 23:45:42] Found 4725 unlabelled features.
[2021-03-16 23:45:42] Showing labelled: True (300/5000 visible)
[2021-03-16 23:45:42] Training mlp across 300 data points in blobs...
[2021-03-16 23:45:50] Training accuracy: 0.7777
[2021-03-16 23:45:50] Testing on 5000 data points...
[2021-03-16 23:45:51] Test accuracy: 0.9020
[2021-03-16 23:45:51] Score for 300 labels: 0.9020
[2021-03-16 23:45:51] Experiment repeat 3/4
[2021-03-16 23:45:51] Randomly labelled 50/5000
[2021-03-16 23:45:51] Showing labelled: True (50/5000 visible)
[2021-03-16 23:45:51] Running: experiment 0
[2021-03-16 23:45:51] Showing labelled: True (50/5000 visible)
[2021-03-16 23:45:51] mlp: initialized 1482 parameters.
[2021-03-16 23:45:51] Creating trainer with model on device: cuda
[2021-03-16 23:45:51] Training mlp across 50 data points in blobs...
[2021-03-16 23:45:52] Training accuracy: 0.7801
[2021-03-16 23:45:52] Testing on 5000 data points...
[2021-03-16 23:45:52] Test accuracy: 0.6388
[2021-03-16 23:45:52] Score for 50 labels: 0.6388
[2021-03-16 23:45:52] Showing labelled: False (4950/5000 visible)
[2021-03-16 23:45:52] Found 4950 unlabelled features.
[2021-03-16 23:45:52] Showing labelled: True (75/5000 visible)
[2021-03-16 23:45:52] Training mlp across 75 data points in blobs...
[2021-03-16 23:45:55] Training accuracy: 0.8702
[2021-03-16 23:45:55] Testing on 5000 data points...
[2021-03-16 23:45:55] Test accuracy: 0.6928
[2021-03-16 23:45:55] Score for 75 labels: 0.6928
[2021-03-16 23:45:55] Showing labelled: False (4925/5000 visible)
[2021-03-16 23:45:55] Found 4925 unlabelled features.
[2021-03-16 23:45:55] Showing labelled: True (100/5000 visible)
[2021-03-16 23:45:55] Training mlp across 100 data points in blobs...
[2021-03-16 23:45:58] Training accuracy: 0.8727
[2021-03-16 23:45:58] Testing on 5000 data points...
[2021-03-16 23:45:58] Test accuracy: 0.7436
[2021-03-16 23:45:58] Score for 100 labels: 0.7436
[2021-03-16 23:45:58] Showing labelled: False (4900/5000 visible)
[2021-03-16 23:45:58] Found 4900 unlabelled features.
[2021-03-16 23:45:58] Showing labelled: True (125/5000 visible)
[2021-03-16 23:45:58] Training mlp across 125 data points in blobs...
[2021-03-16 23:46:02] Training accuracy: 0.8343
[2021-03-16 23:46:02] Testing on 5000 data points...
[2021-03-16 23:46:02] Test accuracy: 0.8672
[2021-03-16 23:46:02] Score for 125 labels: 0.8672
[2021-03-16 23:46:02] Showing labelled: False (4875/5000 visible)
[2021-03-16 23:46:02] Found 4875 unlabelled features.
[2021-03-16 23:46:03] Showing labelled: True (150/5000 visible)
[2021-03-16 23:46:03] Training mlp across 150 data points in blobs...
[2021-03-16 23:46:07] Training accuracy: 0.8038
[2021-03-16 23:46:07] Testing on 5000 data points...
[2021-03-16 23:46:07] Test accuracy: 0.8880
[2021-03-16 23:46:07] Score for 150 labels: 0.8880
[2021-03-16 23:46:07] Showing labelled: False (4850/5000 visible)
[2021-03-16 23:46:07] Found 4850 unlabelled features.
[2021-03-16 23:46:07] Showing labelled: True (175/5000 visible)
[2021-03-16 23:46:07] Training mlp across 175 data points in blobs...
[2021-03-16 23:46:13] Training accuracy: 0.7981
[2021-03-16 23:46:13] Testing on 5000 data points...
[2021-03-16 23:46:13] Test accuracy: 0.8838
[2021-03-16 23:46:13] Score for 175 labels: 0.8838
[2021-03-16 23:46:13] Showing labelled: False (4825/5000 visible)
[2021-03-16 23:46:13] Found 4825 unlabelled features.
[2021-03-16 23:46:13] Showing labelled: True (200/5000 visible)
[2021-03-16 23:46:13] Training mlp across 200 data points in blobs...
[2021-03-16 23:46:18] Training accuracy: 0.8033
[2021-03-16 23:46:18] Testing on 5000 data points...
[2021-03-16 23:46:18] Test accuracy: 0.8850
[2021-03-16 23:46:18] Score for 200 labels: 0.8850
[2021-03-16 23:46:18] Showing labelled: False (4800/5000 visible)
[2021-03-16 23:46:18] Found 4800 unlabelled features.
[2021-03-16 23:46:18] Showing labelled: True (225/5000 visible)
[2021-03-16 23:46:18] Training mlp across 225 data points in blobs...
[2021-03-16 23:46:26] Training accuracy: 0.7908
[2021-03-16 23:46:26] Testing on 5000 data points...
[2021-03-16 23:46:26] Test accuracy: 0.8766
[2021-03-16 23:46:26] Score for 225 labels: 0.8766
[2021-03-16 23:46:26] Showing labelled: False (4775/5000 visible)
[2021-03-16 23:46:26] Found 4775 unlabelled features.
[2021-03-16 23:46:26] Showing labelled: True (250/5000 visible)
[2021-03-16 23:46:26] Training mlp across 250 data points in blobs...
[2021-03-16 23:46:33] Training accuracy: 0.7850
[2021-03-16 23:46:33] Testing on 5000 data points...
[2021-03-16 23:46:33] Test accuracy: 0.8846
[2021-03-16 23:46:33] Score for 250 labels: 0.8846
[2021-03-16 23:46:33] Showing labelled: False (4750/5000 visible)
[2021-03-16 23:46:33] Found 4750 unlabelled features.
[2021-03-16 23:46:34] Showing labelled: True (275/5000 visible)
[2021-03-16 23:46:34] Training mlp across 275 data points in blobs...
[2021-03-16 23:46:43] Training accuracy: 0.7615
[2021-03-16 23:46:43] Testing on 5000 data points...
[2021-03-16 23:46:43] Test accuracy: 0.8858
[2021-03-16 23:46:43] Score for 275 labels: 0.8858
[2021-03-16 23:46:43] Showing labelled: False (4725/5000 visible)
[2021-03-16 23:46:43] Found 4725 unlabelled features.
[2021-03-16 23:46:43] Showing labelled: True (300/5000 visible)
[2021-03-16 23:46:43] Training mlp across 300 data points in blobs...
[2021-03-16 23:46:52] Training accuracy: 0.7554
[2021-03-16 23:46:52] Testing on 5000 data points...
[2021-03-16 23:46:52] Test accuracy: 0.8938
[2021-03-16 23:46:52] Score for 300 labels: 0.8938
[2021-03-16 23:46:52] Experiment repeat 4/4
[2021-03-16 23:46:52] Randomly labelled 50/5000
[2021-03-16 23:46:52] Showing labelled: True (50/5000 visible)
[2021-03-16 23:46:52] Running: experiment 0
[2021-03-16 23:46:52] Showing labelled: True (50/5000 visible)
[2021-03-16 23:46:52] mlp: initialized 1482 parameters.
[2021-03-16 23:46:52] Creating trainer with model on device: cuda
[2021-03-16 23:46:52] Training mlp across 50 data points in blobs...
[2021-03-16 23:46:53] Training accuracy: 0.8151
[2021-03-16 23:46:53] Testing on 5000 data points...
[2021-03-16 23:46:53] Test accuracy: 0.5680
[2021-03-16 23:46:53] Score for 50 labels: 0.5680
[2021-03-16 23:46:53] Showing labelled: False (4950/5000 visible)
[2021-03-16 23:46:53] Found 4950 unlabelled features.
[2021-03-16 23:46:53] Showing labelled: True (75/5000 visible)
[2021-03-16 23:46:53] Training mlp across 75 data points in blobs...
[2021-03-16 23:46:56] Training accuracy: 0.9152
[2021-03-16 23:46:56] Testing on 5000 data points...
[2021-03-16 23:46:56] Test accuracy: 0.7060
[2021-03-16 23:46:56] Score for 75 labels: 0.7060
[2021-03-16 23:46:56] Showing labelled: False (4925/5000 visible)
[2021-03-16 23:46:56] Found 4925 unlabelled features.
[2021-03-16 23:46:56] Showing labelled: True (100/5000 visible)
[2021-03-16 23:46:56] Training mlp across 100 data points in blobs...
[2021-03-16 23:46:59] Training accuracy: 0.8971
[2021-03-16 23:46:59] Testing on 5000 data points...
[2021-03-16 23:46:59] Test accuracy: 0.7204
[2021-03-16 23:46:59] Score for 100 labels: 0.7204
[2021-03-16 23:46:59] Showing labelled: False (4900/5000 visible)
[2021-03-16 23:46:59] Found 4900 unlabelled features.
[2021-03-16 23:46:59] Showing labelled: True (125/5000 visible)
[2021-03-16 23:46:59] Training mlp across 125 data points in blobs...
[2021-03-16 23:47:03] Training accuracy: 0.8565
[2021-03-16 23:47:03] Testing on 5000 data points...
[2021-03-16 23:47:03] Test accuracy: 0.7924
[2021-03-16 23:47:03] Score for 125 labels: 0.7924
[2021-03-16 23:47:03] Showing labelled: False (4875/5000 visible)
[2021-03-16 23:47:03] Found 4875 unlabelled features.
[2021-03-16 23:47:03] Showing labelled: True (150/5000 visible)
[2021-03-16 23:47:03] Training mlp across 150 data points in blobs...
[2021-03-16 23:47:07] Training accuracy: 0.8497
[2021-03-16 23:47:07] Testing on 5000 data points...
[2021-03-16 23:47:07] Test accuracy: 0.8014
[2021-03-16 23:47:07] Score for 150 labels: 0.8014
[2021-03-16 23:47:07] Showing labelled: False (4850/5000 visible)
[2021-03-16 23:47:07] Found 4850 unlabelled features.
[2021-03-16 23:47:07] Showing labelled: True (175/5000 visible)
[2021-03-16 23:47:07] Training mlp across 175 data points in blobs...
[2021-03-16 23:47:13] Training accuracy: 0.8398
[2021-03-16 23:47:13] Testing on 5000 data points...
[2021-03-16 23:47:13] Test accuracy: 0.7874
[2021-03-16 23:47:13] Score for 175 labels: 0.7874
[2021-03-16 23:47:13] Showing labelled: False (4825/5000 visible)
[2021-03-16 23:47:13] Found 4825 unlabelled features.
[2021-03-16 23:47:13] Showing labelled: True (200/5000 visible)
[2021-03-16 23:47:13] Training mlp across 200 data points in blobs...
[2021-03-16 23:47:19] Training accuracy: 0.8277
[2021-03-16 23:47:19] Testing on 5000 data points...
[2021-03-16 23:47:19] Test accuracy: 0.8838
[2021-03-16 23:47:19] Score for 200 labels: 0.8838
[2021-03-16 23:47:19] Showing labelled: False (4800/5000 visible)
[2021-03-16 23:47:19] Found 4800 unlabelled features.
[2021-03-16 23:47:20] Showing labelled: True (225/5000 visible)
[2021-03-16 23:47:20] Training mlp across 225 data points in blobs...
[2021-03-16 23:47:26] Training accuracy: 0.7997
[2021-03-16 23:47:26] Testing on 5000 data points...
[2021-03-16 23:47:26] Test accuracy: 0.8892
[2021-03-16 23:47:26] Score for 225 labels: 0.8892
[2021-03-16 23:47:26] Showing labelled: False (4775/5000 visible)
[2021-03-16 23:47:26] Found 4775 unlabelled features.
[2021-03-16 23:47:26] Showing labelled: True (250/5000 visible)
[2021-03-16 23:47:26] Training mlp across 250 data points in blobs...
[2021-03-16 23:47:33] Training accuracy: 0.7951
[2021-03-16 23:47:33] Testing on 5000 data points...
[2021-03-16 23:47:33] Test accuracy: 0.8978
[2021-03-16 23:47:33] Score for 250 labels: 0.8978
[2021-03-16 23:47:33] Showing labelled: False (4750/5000 visible)
[2021-03-16 23:47:33] Found 4750 unlabelled features.
[2021-03-16 23:47:33] Showing labelled: True (275/5000 visible)
[2021-03-16 23:47:33] Training mlp across 275 data points in blobs...
[2021-03-16 23:47:41] Training accuracy: 0.7763
[2021-03-16 23:47:41] Testing on 5000 data points...
[2021-03-16 23:47:41] Test accuracy: 0.9006
[2021-03-16 23:47:41] Score for 275 labels: 0.9006
[2021-03-16 23:47:41] Showing labelled: False (4725/5000 visible)
[2021-03-16 23:47:41] Found 4725 unlabelled features.
[2021-03-16 23:47:41] Showing labelled: True (300/5000 visible)
[2021-03-16 23:47:41] Training mlp across 300 data points in blobs...
[2021-03-16 23:47:50] Training accuracy: 0.7689
[2021-03-16 23:47:50] Testing on 5000 data points...
[2021-03-16 23:47:50] Test accuracy: 0.8952
[2021-03-16 23:47:50] Score for 300 labels: 0.8952
[2021-03-16 23:47:50] Updated results: ../results/blobs/leastcertainty_crossentropy/results.json
