Result table

This table was generated on 2024-09-28 at 05:11. 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 96.11 0.803 0.0 None BestOf2023-2 profs coktailjet Success 184.25 0.86 26.02 None tetech Master-IASD coktailjet Success 20.27 0.861 0.08 None freshtomatoes Master-IASD coktailjet Success 1.26 0.872 0.28 None alexandre-verinotableandefficientmodel Master-IASD coktailjet Success 11.23 0.895 0.26 None code-brain-fuel Master-IASD coktailjet Success 52.76 0.9 28.7 None anxisa Master-IASD coktailjet Success 57.33 1.005 0.0 None closeai Master-IASD coktailjet Success 0.47 1.037 0.0 None elcoma Master-IASD coktailjet Success 0.41 1.037 0.0 None esi Master-IASD coktailjet Success 0.42 1.037 0.0 None matrixe Master-IASD coktailjet Success 0.44 1.037 0.0 None palm Master-IASD coktailjet Success 0.42 1.037 0.0 None rimaya Master-IASD coktailjet Success 0.41 1.037 0.0 None theshawshankredemption Master-IASD coktailjet Success 0.43 1.037 0.0 None average profs coktailjet Success 0.42 1.037 0.0 None elon Master-IASD coktailjet Success 61.42 1.41 0.89 None random profs coktailjet Success 0.47 1.834 13.84 None just-do-it Master-IASD coktailjet Success 33.83 3.407 0.45 None 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 = pipeline(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 pipeline\n preds = preds.detach().numpy()\n ^^^^^^^^^^^^^^^^^^^^^^\nTypeError: can\'t convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first.\n'

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