Result table

This table was generated on 2024-10-02 at 05:19. See more results here. See last results here.

results

project_name group_name hostname status Time RMSE Accuracy error_msg BestOf2023-1 profs coktailjet Success 56.46 0.803 0.0 None code-brain-fuel Master-IASD coktailjet Success 79.11 0.854 21.28 None BestOf2023-2 profs coktailjet Success 165.29 0.86 26.09 None tetech Master-IASD coktailjet Success 20.68 0.861 0.09 None psg-iasd Master-IASD coktailjet Success 292.74 0.864 11.06 None alexandre-verinotableandefficientmodel Master-IASD coktailjet Success 35.22 0.876 0.27 None freshtomatoes Master-IASD coktailjet Success 18.31 0.878 0.32 None matrixe Master-IASD coktailjet Success 191.89 0.882 0.0 None elon Master-IASD coktailjet Success 35.88 0.888 24.71 None closeai Master-IASD coktailjet Success 5.6 0.943 24.02 None rimaya Master-IASD coktailjet Success 2.05 0.943 21.81 None theshawshankredemption Master-IASD coktailjet Success 0.42 1.037 0.0 None average profs coktailjet Success 0.37 1.037 0.0 None just-do-it Master-IASD coktailjet Success 5.16 1.053 1.24 None random profs coktailjet Success 0.44 1.83 14.33 None 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 23, in \n save_embeddings()\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/anxisa/embeddings.py", line 17, in save_embeddings\n genres = np.load(\'namesngenre.npy\')\n ^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/anxisa/venv/lib/python3.11/site-packages/numpy/lib/npyio.py", line 427, in load\n fid = stack.enter_context(open(os_fspath(file), "rb"))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\nFileNotFoundError: [Errno 2] No such file or directory: \'namesngenre.npy\'\n' esi Master-IASD coktailjet Error 0 100 0 IndexError: index 610 is out of bounds for axis 1 with size 610 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 159, in \n table = model_inference(n_steps, initial_learning_rate, ratings_matrix, latent_dimension, regul_user, regul_item, decay_rate, device, init_type = init_type, coeff_randomA = coeff_randomA, rounding_preference = rounding_preference, pref_threshold = pref_threshold)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/gitlegs/generate.py", line 64, in model_inference\n user_embeddings = randomA(ratings_matrix, latent_dimension, coeff_randomA, device).requires_grad_(True)\n ^^^^^^^\nNameError: name \'randomA\' is not defined\n' elcoma Master-IASD coktailjet Success 24.3 NaN 0.0 None palm Master-IASD coktailjet Success 8.57 NaN 0.0 None

Plots