Task
Supervised Classification on fri_c1_500_50

Supervised Classification on fri_c1_500_50

Task 4337 Supervised Classification fri_c1_500_50 220 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.8187, kappa: 0.6365, kb_relative_information_score: 2730.4355, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8187, predictive_accuracy: 0.8188, prior_entropy: 0.9984, recall: 0.8188, relative_absolute_error: 0.4762, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.7383, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.825, kappa: 0.6489, kb_relative_information_score: 2450.8108, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8254, predictive_accuracy: 0.8252, prior_entropy: 0.9984, recall: 0.8252, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7046, scimark_benchmark: 972.587, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8447, kappa: 0.6885, kb_relative_information_score: 3028.6264, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8468, predictive_accuracy: 0.8452, prior_entropy: 0.9984, recall: 0.8452, relative_absolute_error: 0.4158, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.6541, scimark_benchmark: 934.3687, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6249, f_measure: 0.6263, kappa: 0.2505, kb_relative_information_score: 1259.611, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.6266, predictive_accuracy: 0.6272, prior_entropy: 0.9984, recall: 0.6272, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6106, root_relative_squared_error: 1.2226, scimark_benchmark: 944.1067, usercpu_time_millis: 340, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6249, f_measure: 0.6263, kappa: 0.2505, kb_relative_information_score: 1259.611, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.6266, predictive_accuracy: 0.6272, prior_entropy: 0.9984, recall: 0.6272, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6106, root_relative_squared_error: 1.2226, scimark_benchmark: 916.0735, usercpu_time_millis: 310, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8111, kappa: 0.6215, kb_relative_information_score: 2621.5741, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8114, predictive_accuracy: 0.811, prior_entropy: 0.9984, recall: 0.811, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7301, scimark_benchmark: 938.191, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.8638, kappa: 0.7269, kb_relative_information_score: 2925.9924, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8654, predictive_accuracy: 0.8642, prior_entropy: 0.9984, recall: 0.8642, relative_absolute_error: 0.4472, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.6397, scimark_benchmark: 938.191, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.6186, kappa: 0.2349, kb_relative_information_score: 904.6685, mean_absolute_error: 0.4145, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.6185, predictive_accuracy: 0.619, prior_entropy: 0.9984, recall: 0.619, relative_absolute_error: 0.831, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4994, root_relative_squared_error: 1, scimark_benchmark: 941.6675, usercpu_time_millis: 2180, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 2000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.8242, kappa: 0.6474, kb_relative_information_score: 2898.8226, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8245, predictive_accuracy: 0.8244, prior_entropy: 0.9984, recall: 0.8244, relative_absolute_error: 0.4374, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7521, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6249, f_measure: 0.6263, kappa: 0.2505, kb_relative_information_score: 1259.611, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.6266, predictive_accuracy: 0.6272, prior_entropy: 0.9984, recall: 0.6272, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6106, root_relative_squared_error: 1.2226, scimark_benchmark: 941.3847, usercpu_time_millis: 320, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6249, f_measure: 0.6263, kappa: 0.2505, kb_relative_information_score: 1259.611, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.6266, predictive_accuracy: 0.6272, prior_entropy: 0.9984, recall: 0.6272, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6106, root_relative_squared_error: 1.2226, scimark_benchmark: 941.3847, usercpu_time_millis: 280, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8111, kappa: 0.6215, kb_relative_information_score: 2621.5741, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8114, predictive_accuracy: 0.811, prior_entropy: 0.9984, recall: 0.811, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7301, scimark_benchmark: 974.2014, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8079, kappa: 0.6147, kb_relative_information_score: 1517.6349, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8092, predictive_accuracy: 0.8084, prior_entropy: 0.9984, recall: 0.8084, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.7906, scimark_benchmark: 947.1781, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.8187, kappa: 0.6365, kb_relative_information_score: 2730.4355, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8187, predictive_accuracy: 0.8188, prior_entropy: 0.9984, recall: 0.8188, relative_absolute_error: 0.4762, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.7383, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.825, kappa: 0.6489, kb_relative_information_score: 2450.8108, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8254, predictive_accuracy: 0.8252, prior_entropy: 0.9984, recall: 0.8252, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7046, scimark_benchmark: 908.9569, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8447, kappa: 0.6885, kb_relative_information_score: 3028.6264, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8468, predictive_accuracy: 0.8452, prior_entropy: 0.9984, recall: 0.8452, relative_absolute_error: 0.4158, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.6541, scimark_benchmark: 936.2574, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6249, f_measure: 0.6263, kappa: 0.2505, kb_relative_information_score: 1259.611, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.6266, predictive_accuracy: 0.6272, prior_entropy: 0.9984, recall: 0.6272, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6106, root_relative_squared_error: 1.2226, scimark_benchmark: 927.2882, usercpu_time_millis: 460, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6249, f_measure: 0.6263, kappa: 0.2505, kb_relative_information_score: 1259.611, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.6266, predictive_accuracy: 0.6272, prior_entropy: 0.9984, recall: 0.6272, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6106, root_relative_squared_error: 1.2226, scimark_benchmark: 934.5964, usercpu_time_millis: 440, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8079, kappa: 0.6154, kb_relative_information_score: 2588.3757, mean_absolute_error: 0.2499, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8085, predictive_accuracy: 0.8078, prior_entropy: 0.9984, recall: 0.8078, relative_absolute_error: 0.5009, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7358, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8111, kappa: 0.6215, kb_relative_information_score: 2621.5741, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8114, predictive_accuracy: 0.811, prior_entropy: 0.9984, recall: 0.811, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7301, scimark_benchmark: 930.404, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8111, kappa: 0.6215, kb_relative_information_score: 2621.5741, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8114, predictive_accuracy: 0.811, prior_entropy: 0.9984, recall: 0.811, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7301, scimark_benchmark: 941.4991, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.8638, kappa: 0.7269, kb_relative_information_score: 2925.9924, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8654, predictive_accuracy: 0.8642, prior_entropy: 0.9984, recall: 0.8642, relative_absolute_error: 0.4472, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.6397, scimark_benchmark: 930.404, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8111, kappa: 0.6215, kb_relative_information_score: 2621.5741, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8114, predictive_accuracy: 0.811, prior_entropy: 0.9984, recall: 0.811, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7301, scimark_benchmark: 945.6228, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.8242, kappa: 0.6474, kb_relative_information_score: 2898.8226, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8245, predictive_accuracy: 0.8244, prior_entropy: 0.9984, recall: 0.8244, relative_absolute_error: 0.4374, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7521, scimark_benchmark: 932.438, usercpu_time_millis: 300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8079, kappa: 0.6147, kb_relative_information_score: 1517.6349, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8092, predictive_accuracy: 0.8084, prior_entropy: 0.9984, recall: 0.8084, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.7906, scimark_benchmark: 901.4991, usercpu_time_millis: 270, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.793, kappa: 0.5849, kb_relative_information_score: 1404.2299, mean_absolute_error: 0.381, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.793, predictive_accuracy: 0.793, prior_entropy: 0.9984, recall: 0.793, relative_absolute_error: 0.7638, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8102, scimark_benchmark: 943.6618, usercpu_time_millis: 14910, usercpu_time_millis_testing: 6050, usercpu_time_millis_training: 8860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7934, kappa: 0.5857, kb_relative_information_score: 1398.8277, mean_absolute_error: 0.3813, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.7934, predictive_accuracy: 0.7934, prior_entropy: 0.9984, recall: 0.7934, relative_absolute_error: 0.7643, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8124, scimark_benchmark: 933.3455, usercpu_time_millis: 7630, usercpu_time_millis_testing: 3120, usercpu_time_millis_training: 4510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.7836, kappa: 0.5662, kb_relative_information_score: 1401.5138, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.7836, predictive_accuracy: 0.7836, prior_entropy: 0.9984, recall: 0.7836, relative_absolute_error: 0.7621, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.816, scimark_benchmark: 929.7512, usercpu_time_millis: 3360, usercpu_time_millis_testing: 1000, usercpu_time_millis_training: 2360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.7696, kappa: 0.538, kb_relative_information_score: 1376.4557, mean_absolute_error: 0.3808, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.7695, predictive_accuracy: 0.7696, prior_entropy: 0.9984, recall: 0.7696, relative_absolute_error: 0.7634, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.8274, scimark_benchmark: 921.2615, usercpu_time_millis: 1380, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.7397, kappa: 0.478, kb_relative_information_score: 1369.4279, mean_absolute_error: 0.3787, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.7397, predictive_accuracy: 0.7398, prior_entropy: 0.9984, recall: 0.7398, relative_absolute_error: 0.7592, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8475, scimark_benchmark: 931.6751, usercpu_time_millis: 690, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.8133, kappa: 0.6257, kb_relative_information_score: 2931.1643, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8133, predictive_accuracy: 0.8134, prior_entropy: 0.9984, recall: 0.8134, relative_absolute_error: 0.4244, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.7426, scimark_benchmark: 936.1714, usercpu_time_millis: 530, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.8121, kappa: 0.6233, kb_relative_information_score: 2922.0726, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8121, predictive_accuracy: 0.8122, prior_entropy: 0.9984, recall: 0.8122, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.7423, scimark_benchmark: 930.0565, usercpu_time_millis: 540, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.815, kappa: 0.629, kb_relative_information_score: 2870.5334, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.815, predictive_accuracy: 0.815, prior_entropy: 0.9984, recall: 0.815, relative_absolute_error: 0.4394, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.7355, scimark_benchmark: 929.0296, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8229, kappa: 0.6447, kb_relative_information_score: 2826.576, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.823, predictive_accuracy: 0.823, prior_entropy: 0.9984, recall: 0.823, relative_absolute_error: 0.4553, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7017, scimark_benchmark: 936.1714, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.8198, kappa: 0.6385, kb_relative_information_score: 2579.0056, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8201, predictive_accuracy: 0.82, prior_entropy: 0.9984, recall: 0.82, relative_absolute_error: 0.5115, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7076, scimark_benchmark: 929.0296, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.3603, kb_relative_information_score: -0.2411, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.2746, predictive_accuracy: 0.524, prior_entropy: 0.9984, recall: 0.524, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4994, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.8439, kappa: 0.6868, kb_relative_information_score: 3377.6857, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8441, predictive_accuracy: 0.844, prior_entropy: 0.9984, recall: 0.844, relative_absolute_error: 0.3268, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7274, scimark_benchmark: 926.5859, usercpu_time_millis: 1500, usercpu_time_millis_training: 1500,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.825, kappa: 0.6489, kb_relative_information_score: 2450.8108, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8254, predictive_accuracy: 0.8252, prior_entropy: 0.9984, recall: 0.8252, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7046, scimark_benchmark: 1357.1971, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8111, kappa: 0.6215, kb_relative_information_score: 2621.5741, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8114, predictive_accuracy: 0.811, prior_entropy: 0.9984, recall: 0.811, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7301, scimark_benchmark: 1313.8988, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8079, kappa: 0.6154, kb_relative_information_score: 2588.3757, mean_absolute_error: 0.2499, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8085, predictive_accuracy: 0.8078, prior_entropy: 0.9984, recall: 0.8078, relative_absolute_error: 0.5009, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7358, scimark_benchmark: 1324.7884, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8079, kappa: 0.6154, kb_relative_information_score: 2588.3757, mean_absolute_error: 0.2499, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8085, predictive_accuracy: 0.8078, prior_entropy: 0.9984, recall: 0.8078, relative_absolute_error: 0.5009, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7358, scimark_benchmark: 1322.5413, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8111, kappa: 0.6215, kb_relative_information_score: 2621.5741, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8114, predictive_accuracy: 0.811, prior_entropy: 0.9984, recall: 0.811, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7301, scimark_benchmark: 1331.2559, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8111, kappa: 0.6215, kb_relative_information_score: 2621.5741, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8114, predictive_accuracy: 0.811, prior_entropy: 0.9984, recall: 0.811, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7301, scimark_benchmark: 1338.5214, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8111, kappa: 0.6215, kb_relative_information_score: 2621.5741, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8114, predictive_accuracy: 0.811, prior_entropy: 0.9984, recall: 0.811, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7301, scimark_benchmark: 1349.1517, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8111, kappa: 0.6215, kb_relative_information_score: 2621.5741, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8114, predictive_accuracy: 0.811, prior_entropy: 0.9984, recall: 0.811, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7301, scimark_benchmark: 1340.9749, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8111, kappa: 0.6215, kb_relative_information_score: 2621.5741, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8114, predictive_accuracy: 0.811, prior_entropy: 0.9984, recall: 0.811, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7301, scimark_benchmark: 1324.8408, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6249, f_measure: 0.6263, kappa: 0.2505, kb_relative_information_score: 1259.611, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.6266, predictive_accuracy: 0.6272, prior_entropy: 0.9984, recall: 0.6272, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6106, root_relative_squared_error: 1.2226, scimark_benchmark: 1349.1517, usercpu_time_millis: 280, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8079, kappa: 0.6154, kb_relative_information_score: 2588.3757, mean_absolute_error: 0.2499, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8085, predictive_accuracy: 0.8078, prior_entropy: 0.9984, recall: 0.8078, relative_absolute_error: 0.5009, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7358, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8111, kappa: 0.6215, kb_relative_information_score: 2621.5741, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8114, predictive_accuracy: 0.811, prior_entropy: 0.9984, recall: 0.811, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7301, scimark_benchmark: 1350.2591, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8111, kappa: 0.6215, kb_relative_information_score: 2621.5741, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8114, predictive_accuracy: 0.811, prior_entropy: 0.9984, recall: 0.811, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7301, scimark_benchmark: 1366.7181, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8079, kappa: 0.6154, kb_relative_information_score: 2588.3757, mean_absolute_error: 0.2499, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8085, predictive_accuracy: 0.8078, prior_entropy: 0.9984, recall: 0.8078, relative_absolute_error: 0.5009, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7358, scimark_benchmark: 1351.1238, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8111, kappa: 0.6215, kb_relative_information_score: 2621.5741, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8114, predictive_accuracy: 0.811, prior_entropy: 0.9984, recall: 0.811, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7301, scimark_benchmark: 1319.4538, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.6186, kappa: 0.2349, kb_relative_information_score: 904.6685, mean_absolute_error: 0.4145, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.6185, predictive_accuracy: 0.619, prior_entropy: 0.9984, recall: 0.619, relative_absolute_error: 0.831, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4994, root_relative_squared_error: 1, scimark_benchmark: 1313.11, usercpu_time_millis: 730, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8111, kappa: 0.6215, kb_relative_information_score: 2621.5741, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8114, predictive_accuracy: 0.811, prior_entropy: 0.9984, recall: 0.811, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7301, scimark_benchmark: 1339.2472, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8079, kappa: 0.6154, kb_relative_information_score: 2588.3757, mean_absolute_error: 0.2499, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8085, predictive_accuracy: 0.8078, prior_entropy: 0.9984, recall: 0.8078, relative_absolute_error: 0.5009, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7358, scimark_benchmark: 1350.7721, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8111, kappa: 0.6215, kb_relative_information_score: 2621.5741, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8114, predictive_accuracy: 0.811, prior_entropy: 0.9984, recall: 0.811, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7301, scimark_benchmark: 1327.3335, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8111, kappa: 0.6215, kb_relative_information_score: 2621.5741, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8114, predictive_accuracy: 0.811, prior_entropy: 0.9984, recall: 0.811, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7301, scimark_benchmark: 1313.11, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.8638, kappa: 0.7269, kb_relative_information_score: 2925.9924, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8654, predictive_accuracy: 0.8642, prior_entropy: 0.9984, recall: 0.8642, relative_absolute_error: 0.4472, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.6397, scimark_benchmark: 1326.2019, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.6186, kappa: 0.2349, kb_relative_information_score: 904.6685, mean_absolute_error: 0.4145, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.6185, predictive_accuracy: 0.619, prior_entropy: 0.9984, recall: 0.619, relative_absolute_error: 0.831, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4994, root_relative_squared_error: 1, scimark_benchmark: 1332.9478, usercpu_time_millis: 1430, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8111, kappa: 0.6215, kb_relative_information_score: 2621.5741, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8114, predictive_accuracy: 0.811, prior_entropy: 0.9984, recall: 0.811, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7301, scimark_benchmark: 1350.7721, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.8242, kappa: 0.6474, kb_relative_information_score: 2898.8226, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8245, predictive_accuracy: 0.8244, prior_entropy: 0.9984, recall: 0.8244, relative_absolute_error: 0.4374, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7521, scimark_benchmark: 1358.6198, usercpu_time_millis: 300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8079, kappa: 0.6147, kb_relative_information_score: 1517.6349, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8092, predictive_accuracy: 0.8084, prior_entropy: 0.9984, recall: 0.8084, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.7906, scimark_benchmark: 1320.8283, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.825, kappa: 0.6489, kb_relative_information_score: 2450.8108, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.8254, predictive_accuracy: 0.8252, prior_entropy: 0.9984, recall: 0.8252, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7046, scimark_benchmark: 1319.5773, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, f_measure: 0.7449, kappa: 0.489, kb_relative_information_score: 2364.0228, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4989, number_of_instances: 5000, precision: 0.7452, predictive_accuracy: 0.7448, prior_entropy: 0.9984, recall: 0.7448, relative_absolute_error: 0.5305, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4802, root_relative_squared_error: 0.9615, scimark_benchmark: 1346.0226, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs