Result table

This table was generated on 2024-10-09 at 08:01. See more results here. See last results here.

results
project_namegroup_namehostnamestatusTimeRMSEAccuracyerror_msg
BestOf2023-1
profs
coktailjet
Success
37.92
0.803
0.0
None
psg-iasd
Master-IASD
coktailjet
Success
209.85
0.856
0.0
None
BestOf2023-2
profs
coktailjet
Success
78.39
0.86
26.14
None
closeai
Master-IASD
coktailjet
Success
37.15
0.866
25.07
None
happyhippo
Master-IASD
coktailjet
Success
3.61
0.874
0.0
None
theshawshankredemption
Master-IASD
coktailjet
Success
0.35
0.875
25.46
None
freshtomatoes
Master-IASD
coktailjet
Success
17.55
0.878
0.32
None
elcoma
Master-IASD
coktailjet
Success
117.55
0.888
0.0
None
elon
Master-IASD
coktailjet
Success
25.42
0.889
24.94
None
matrixe
Master-IASD
coktailjet
Success
162.71
0.891
0.0
None
tetech
Master-IASD
coktailjet
Success
17.7
0.891
0.01
None
rimaya
Master-IASD
coktailjet
Success
665.53
0.921
23.56
None
average
profs
coktailjet
Success
0.4
1.037
0.0
None
just-do-it
Master-IASD
coktailjet
Success
24.51
1.065
26.69
None
esi
Master-IASD
coktailjet
Success
10.08
1.295
24.48
None
random
profs
coktailjet
Success
0.45
1.837
14.29
None
alexandre-verinotableandefficientmodel
Master-IASD
coktailjet
Error
0
100
0
bytes: b'/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/alexandre-verinotableandefficientmodel/generate.py:40: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don\'t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.\n model.load_state_dict(torch.load(\'mlmodel.pth\'))\nTraceback (most recent call last):\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/alexandre-verinotableandefficientmodel/generate.py", line 40, in \n model.load_state_dict(torch.load(\'mlmodel.pth\'))\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/alexandre-verinotableandefficientmodel/venv/lib/python3.11/site-packages/torch/serialization.py", line 1065, in load\n with _open_file_like(f, \'rb\') as opened_file:\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/alexandre-verinotableandefficientmodel/venv/lib/python3.11/site-packages/torch/serialization.py", line 468, in _open_file_like\n return _open_file(name_or_buffer, mode)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/alexandre-verinotableandefficientmodel/venv/lib/python3.11/site-packages/torch/serialization.py", line 449, in __init__\n super().__init__(open(name, mode))\n ^^^^^^^^^^^^^^^^\nFileNotFoundError: [Errno 2] No such file or directory: \'mlmodel.pth\'\n'
anxisa
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/anxisa/generate.py", line 5, in \n from NeuMF import NeuMF, RatingDataset, matrix_to_triplets, train, predict_full_matrix, evaluate_from_matrix\nModuleNotFoundError: No module named \'NeuMF\'\n'
code-brain-fuel
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/code-brain-fuel/generate.py", line 113, in \n result = MyModel.train()\n ^^^^^^^^^^^^^^^\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/code-brain-fuel/generate.py", line 81, in train\n pred = self.U[u].dot(self.I[i]) + self.global_bias + self.U_bias[u] + self.I_bias[i]\n ^^^^^^^^^^^^^^^^\nAttributeError: \'Model\' object has no attribute \'global_bias\'\n'
palm
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/palm/generate.py", line 7, in \n from project import common, mf, pmf\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/palm/project/pmf.py", line 4, in \n import matplotlib.pyplot as plt\nModuleNotFoundError: No module named \'matplotlib\'\n'

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