Result table

This table was generated on 2024-09-27 at 12:55. See more results here. See last results here.

results
project_namegroup_namehostnamestatusTimeRMSEAccuracyerror_msg
BestOf2023-1
profs
coktailjet
Success
99.94
0.803
0.0
None
BestOf2023-2
profs
coktailjet
Success
188.3
0.86
26.14
None
freshtomatoes
Master-IASD
coktailjet
Success
1.33
0.872
0.28
None
tetech
Master-IASD
coktailjet
Success
91.3
0.88
0.0
None
code-brain-fuel
Master-IASD
coktailjet
Success
23.48
0.895
25.34
None
just-do-it
Master-IASD
coktailjet
Success
32.8
1.026
13.57
None
closeai
Master-IASD
coktailjet
Success
1.1
1.037
0.0
None
elcoma
Master-IASD
coktailjet
Success
0.46
1.037
0.0
None
esi
Master-IASD
coktailjet
Success
0.46
1.037
0.0
None
matrixe
Master-IASD
coktailjet
Success
0.39
1.037
0.0
None
palm
Master-IASD
coktailjet
Success
0.41
1.037
0.0
None
rimaya
Master-IASD
coktailjet
Success
0.42
1.037
0.0
None
theshawshankredemption
Master-IASD
coktailjet
Success
0.45
1.037
0.0
None
average
profs
coktailjet
Success
0.44
1.037
0.0
None
elon
Master-IASD
coktailjet
Success
62.73
1.417
18.38
None
random
profs
coktailjet
Success
0.45
1.828
14.09
None
anxisa
Master-IASD
coktailjet
Success
0.63
5.004
0.0
None
alexandre-verinotableandefficientmodel
Master-IASD
coktailjet
Error
0
100
0
bytes: b'Traceback (most recent call last):\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/alexandre-verinotableandefficientmodel/generate.py", line 2, in \n import pandas as pd\nModuleNotFoundError: No module named \'pandas\'\n'
gitlegs
Master-IASD
coktailjet
Error
0
100
0
bytes: b'Traceback (most recent call last):\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/gitlegs/generate.py", line 87, in \n table = gradient_descent(n_steps, initial_learning_rate, ratings_matrix, latent_dimension, regul_user, regul_item, decay_rate)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/gitlegs/generate.py", line 55, in gradient_descent\n preds = preds.preds.cpu().numpy()\n ^^^^^^^^^^^\nAttributeError: \'Tensor\' object has no attribute \'preds\'. Did you mean: \'prelu\'?\n'

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