Task
Supervised Classification on pc4

Supervised Classification on pc4

Task 3902 Supervised Classification pc4 112802 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7012, f_measure: 0.8263, kappa: 0.0343, kb_relative_information_score: -105.6069, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8424, predictive_accuracy: 0.8786, prior_entropy: 0.5368, recall: 0.8786, relative_absolute_error: 0.9578, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.9794, scimark_benchmark: 1326.8307, usercpu_time_millis: 15.056, usercpu_time_millis_testing: 0.391, usercpu_time_millis_training: 14.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.8988, kappa: 0.4765, kb_relative_information_score: 374.8682, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9038, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.64, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.8008, scimark_benchmark: 1333.0702, usercpu_time_millis: 3.192, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 3.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.8924, kappa: 0.4449, kb_relative_information_score: 352.3322, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8945, predictive_accuracy: 0.906, prior_entropy: 0.5368, recall: 0.906, relative_absolute_error: 0.6658, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.8272, scimark_benchmark: 1327.8074, usercpu_time_millis: 3.154, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 3.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.8935, kappa: 0.4496, kb_relative_information_score: 371.026, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8966, predictive_accuracy: 0.9074, prior_entropy: 0.5368, recall: 0.9074, relative_absolute_error: 0.6447, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.8136, scimark_benchmark: 1349.5565, usercpu_time_millis: 3.946, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 3.829,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, f_measure: 0.8283, kappa: 0.0452, kb_relative_information_score: 31.401, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8604, predictive_accuracy: 0.88, prior_entropy: 0.5368, recall: 0.88, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.9921, scimark_benchmark: 1324.6168, usercpu_time_millis: 4.451, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 4.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6245, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -112.4182, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9803, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.991, scimark_benchmark: 1354.8843, usercpu_time_millis: 14.351, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 14.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.8488, kappa: 0.1703, kb_relative_information_score: 190.0845, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.875, predictive_accuracy: 0.8875, prior_entropy: 0.5368, recall: 0.8875, relative_absolute_error: 0.8561, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2974, root_relative_squared_error: 0.9085, scimark_benchmark: 1334.8948, usercpu_time_millis: 5.45, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 5.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.622, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -108.7773, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9832, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.993, scimark_benchmark: 1310.3081, usercpu_time_millis: 13.866, usercpu_time_millis_testing: 0.221, usercpu_time_millis_training: 13.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.8283, kappa: 0.0452, kb_relative_information_score: 66.6476, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8604, predictive_accuracy: 0.88, prior_entropy: 0.5368, recall: 0.88, relative_absolute_error: 0.9543, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.9764, scimark_benchmark: 1323.1453, usercpu_time_millis: 4.114, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 4.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8945, kappa: 0.4553, kb_relative_information_score: 374.6678, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8976, predictive_accuracy: 0.9081, prior_entropy: 0.5368, recall: 0.9081, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.266, root_relative_squared_error: 0.8124, scimark_benchmark: 1318.4916, usercpu_time_millis: 3.392, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 3.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.9008, kappa: 0.4833, kb_relative_information_score: 388.9011, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.909, predictive_accuracy: 0.915, prior_entropy: 0.5368, recall: 0.915, relative_absolute_error: 0.6371, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.784, scimark_benchmark: 1343.4979, usercpu_time_millis: 5.183, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 5.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.8933, kappa: 0.4358, kb_relative_information_score: 344.2065, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9079, predictive_accuracy: 0.9115, prior_entropy: 0.5368, recall: 0.9115, relative_absolute_error: 0.6639, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.795, scimark_benchmark: 1325.636, usercpu_time_millis: 400.878, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 400.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.8997, kappa: 0.4725, kb_relative_information_score: 356.764, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9127, predictive_accuracy: 0.9156, prior_entropy: 0.5368, recall: 0.9156, relative_absolute_error: 0.6576, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.7884, scimark_benchmark: 1352.9694, usercpu_time_millis: 19.197, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 19.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.8937, kappa: 0.4407, kb_relative_information_score: 350.6256, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9049, predictive_accuracy: 0.9108, prior_entropy: 0.5368, recall: 0.9108, relative_absolute_error: 0.6615, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2595, root_relative_squared_error: 0.7925, scimark_benchmark: 1352.631, usercpu_time_millis: 471.046, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 470.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7272, f_measure: 0.831, kappa: 0.0623, kb_relative_information_score: 62.9693, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8597, predictive_accuracy: 0.8807, prior_entropy: 0.5368, recall: 0.8807, relative_absolute_error: 0.9535, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.9792, scimark_benchmark: 1358.8958, usercpu_time_millis: 3.792, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 3.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.8954, kappa: 0.462, kb_relative_information_score: 380.0676, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8974, predictive_accuracy: 0.9081, prior_entropy: 0.5368, recall: 0.9081, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.8075, scimark_benchmark: 1354.354, usercpu_time_millis: 4.171, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 4.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6124, f_measure: 0.8254, kappa: 0.0278, kb_relative_information_score: 18.9128, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8638, predictive_accuracy: 0.8793, prior_entropy: 0.5368, recall: 0.8793, relative_absolute_error: 0.9862, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.9951, scimark_benchmark: 1319.694, usercpu_time_millis: 4.643, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 4.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.8888, kappa: 0.4251, kb_relative_information_score: 343.9585, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8906, predictive_accuracy: 0.9033, prior_entropy: 0.5368, recall: 0.9033, relative_absolute_error: 0.6746, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.272, root_relative_squared_error: 0.8309, scimark_benchmark: 1338.9352, usercpu_time_millis: 3.351, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 3.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7693, f_measure: 0.8317, kappa: 0.071, kb_relative_information_score: -97.7667, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8359, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.9735, scimark_benchmark: 1347.0385, usercpu_time_millis: 15.35, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 15.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6028, f_measure: 0.8267, kappa: 0.0358, kb_relative_information_score: 26.7111, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8541, predictive_accuracy: 0.8793, prior_entropy: 0.5368, recall: 0.8793, relative_absolute_error: 0.9823, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.9935, scimark_benchmark: 1318.8179, usercpu_time_millis: 5.353, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 5.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.8341, kappa: 0.0806, kb_relative_information_score: 73.1464, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8669, predictive_accuracy: 0.882, prior_entropy: 0.5368, recall: 0.882, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.9748, scimark_benchmark: 1336.1288, usercpu_time_millis: 3.899, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 3.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.8947, kappa: 0.4544, kb_relative_information_score: 335.9648, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8988, predictive_accuracy: 0.9088, prior_entropy: 0.5368, recall: 0.9088, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.8204, scimark_benchmark: 1338.6647, usercpu_time_millis: 4.25, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 4.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.8888, kappa: 0.4251, kb_relative_information_score: 359.6968, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8906, predictive_accuracy: 0.9033, prior_entropy: 0.5368, recall: 0.9033, relative_absolute_error: 0.6751, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.8373, scimark_benchmark: 1344.7809, usercpu_time_millis: 5.319, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 5.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6862, f_measure: 0.8256, kappa: 0.0314, kb_relative_information_score: -136.8262, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8268, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9558, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.9816, scimark_benchmark: 1339.4225, usercpu_time_millis: 16.515, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 16.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7117, f_measure: 0.8322, kappa: 0.0699, kb_relative_information_score: 79.0439, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8561, predictive_accuracy: 0.8807, prior_entropy: 0.5368, recall: 0.8807, relative_absolute_error: 0.941, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.9687, scimark_benchmark: 1328.9884, usercpu_time_millis: 3.788, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 3.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6719, f_measure: 0.8259, kappa: 0.0329, kb_relative_information_score: -145.6494, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8336, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9586, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.9826, scimark_benchmark: 1358.81, usercpu_time_millis: 15.399, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 15.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.8943, kappa: 0.4432, kb_relative_information_score: 357.9451, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9064, predictive_accuracy: 0.9115, prior_entropy: 0.5368, recall: 0.9115, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.7923, scimark_benchmark: 1340.8122, usercpu_time_millis: 465.98, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 465.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.8356, kappa: 0.0896, kb_relative_information_score: 84.1455, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8698, predictive_accuracy: 0.8827, prior_entropy: 0.5368, recall: 0.8827, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.318, root_relative_squared_error: 0.9713, scimark_benchmark: 1357.8239, usercpu_time_millis: 3.77, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 3.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5311, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -3.9499, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3285, root_relative_squared_error: 1.0033, scimark_benchmark: 1333.3014, usercpu_time_millis: 6.012, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 5.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.8488, kappa: 0.1703, kb_relative_information_score: 190.9507, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.875, predictive_accuracy: 0.8875, prior_entropy: 0.5368, recall: 0.8875, relative_absolute_error: 0.8564, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.909, scimark_benchmark: 1331.7286, usercpu_time_millis: 5.216, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 5.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.8352, kappa: 0.1034, kb_relative_information_score: -11.744, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8282, predictive_accuracy: 0.8738, prior_entropy: 0.5368, recall: 0.8738, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.9572, scimark_benchmark: 1325.9794, usercpu_time_millis: 14.029, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 13.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8989, kappa: 0.4708, kb_relative_information_score: 385.3094, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9091, predictive_accuracy: 0.9143, prior_entropy: 0.5368, recall: 0.9143, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.7829, scimark_benchmark: 1325.8305, usercpu_time_millis: 7.854, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 7.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.8298, kappa: 0.0606, kb_relative_information_score: -97.4867, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8285, predictive_accuracy: 0.8765, prior_entropy: 0.5368, recall: 0.8765, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.9785, scimark_benchmark: 1346.4356, usercpu_time_millis: 15.119, usercpu_time_millis_testing: 0.213, usercpu_time_millis_training: 14.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7054, f_measure: 0.8263, kappa: 0.0343, kb_relative_information_score: -104.8155, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8424, predictive_accuracy: 0.8786, prior_entropy: 0.5368, recall: 0.8786, relative_absolute_error: 0.956, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.9785, scimark_benchmark: 1329.6453, usercpu_time_millis: 14.886, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 14.659,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5702, f_measure: 0.8238, kappa: 0.0181, kb_relative_information_score: 20.3165, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8531, predictive_accuracy: 0.8786, prior_entropy: 0.5368, recall: 0.8786, relative_absolute_error: 0.9845, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.9954, scimark_benchmark: 1336.9604, usercpu_time_millis: 4.053, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 3.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5919, f_measure: 0.8251, kappa: 0.0263, kb_relative_information_score: 20.6861, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8454, predictive_accuracy: 0.8786, prior_entropy: 0.5368, recall: 0.8786, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.9949, scimark_benchmark: 1344.1861, usercpu_time_millis: 3.925, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 3.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7676, f_measure: 0.8298, kappa: 0.0546, kb_relative_information_score: 56.4626, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8653, predictive_accuracy: 0.8807, prior_entropy: 0.5368, recall: 0.8807, relative_absolute_error: 0.9612, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.9782, scimark_benchmark: 1321.6297, usercpu_time_millis: 4.818, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 4.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7267, f_measure: 0.8267, kappa: 0.0358, kb_relative_information_score: 52.4266, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8541, predictive_accuracy: 0.8793, prior_entropy: 0.5368, recall: 0.8793, relative_absolute_error: 0.9652, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.9807, scimark_benchmark: 1311.6643, usercpu_time_millis: 4.01, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 3.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7826, f_measure: 0.8306, kappa: 0.0607, kb_relative_information_score: 91.5644, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8519, predictive_accuracy: 0.88, prior_entropy: 0.5368, recall: 0.88, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.9688, scimark_benchmark: 1320.294, usercpu_time_millis: 4.129, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 4.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.8955, kappa: 0.4611, kb_relative_information_score: 377.3232, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8985, predictive_accuracy: 0.9088, prior_entropy: 0.5368, recall: 0.9088, relative_absolute_error: 0.6374, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2643, root_relative_squared_error: 0.8073, scimark_benchmark: 1331.5964, usercpu_time_millis: 3.467, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 3.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.8319, kappa: 0.0752, kb_relative_information_score: -55.6759, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8307, predictive_accuracy: 0.8765, prior_entropy: 0.5368, recall: 0.8765, relative_absolute_error: 0.9264, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.97, scimark_benchmark: 1320.7034, usercpu_time_millis: 15.345, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 15.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5813, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -70.4348, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.998, scimark_benchmark: 1326.8815, usercpu_time_millis: 13.253, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 13.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.8935, kappa: 0.4496, kb_relative_information_score: 360.1103, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8966, predictive_accuracy: 0.9074, prior_entropy: 0.5368, recall: 0.9074, relative_absolute_error: 0.6568, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.8229, scimark_benchmark: 1314.0765, usercpu_time_millis: 3.229, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 3.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.8988, kappa: 0.4716, kb_relative_information_score: 380.8519, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9073, predictive_accuracy: 0.9136, prior_entropy: 0.5368, recall: 0.9136, relative_absolute_error: 0.6406, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.258, root_relative_squared_error: 0.788, scimark_benchmark: 1321.1391, usercpu_time_millis: 4.683, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 4.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7178, f_measure: 0.8363, kappa: 0.0952, kb_relative_information_score: 114.2824, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8602, predictive_accuracy: 0.882, prior_entropy: 0.5368, recall: 0.882, relative_absolute_error: 0.9194, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.9569, scimark_benchmark: 1310.449, usercpu_time_millis: 3.988, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 3.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5967, f_measure: 0.8254, kappa: 0.0278, kb_relative_information_score: 19.5725, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8638, predictive_accuracy: 0.8793, prior_entropy: 0.5368, recall: 0.8793, relative_absolute_error: 0.9866, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.9944, scimark_benchmark: 1316.5181, usercpu_time_millis: 4.551, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 4.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.8256, kappa: 0.0314, kb_relative_information_score: 10.0344, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8268, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.9616, scimark_benchmark: 1339.3255, usercpu_time_millis: 10.76, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 10.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -126.0457, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.9946, scimark_benchmark: 1336.2466, usercpu_time_millis: 13.338, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 13.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.8992, kappa: 0.475, kb_relative_information_score: 376.502, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9068, predictive_accuracy: 0.9136, prior_entropy: 0.5368, recall: 0.9136, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.7918, scimark_benchmark: 1326.0362, usercpu_time_millis: 3.538, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 3.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8998, kappa: 0.4775, kb_relative_information_score: 423.2269, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9081, predictive_accuracy: 0.9143, prior_entropy: 0.5368, recall: 0.9143, relative_absolute_error: 0.6372, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.783, scimark_benchmark: 1323.1327, usercpu_time_millis: 4.442, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 4.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7724, f_measure: 0.8326, kappa: 0.0715, kb_relative_information_score: 90.1914, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8636, predictive_accuracy: 0.8813, prior_entropy: 0.5368, recall: 0.8813, relative_absolute_error: 0.9379, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.9685, scimark_benchmark: 1363.5664, usercpu_time_millis: 3.457, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 3.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8914, kappa: 0.4391, kb_relative_information_score: 356.861, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8936, predictive_accuracy: 0.9054, prior_entropy: 0.5368, recall: 0.9054, relative_absolute_error: 0.6605, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2704, root_relative_squared_error: 0.826, scimark_benchmark: 1349.6154, usercpu_time_millis: 3.201, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 3.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6215, f_measure: 0.8283, kappa: 0.0452, kb_relative_information_score: 30.7382, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8604, predictive_accuracy: 0.88, prior_entropy: 0.5368, recall: 0.88, relative_absolute_error: 0.9792, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.9922, scimark_benchmark: 1328.0463, usercpu_time_millis: 4.179, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 4.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6418, f_measure: 0.8238, kappa: 0.0181, kb_relative_information_score: -151.373, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8531, predictive_accuracy: 0.8786, prior_entropy: 0.5368, recall: 0.8786, relative_absolute_error: 0.9673, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.9841, scimark_benchmark: 1357.6289, usercpu_time_millis: 14.018, usercpu_time_millis_testing: -0.179, usercpu_time_millis_training: 14.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.834, kappa: 0.0893, kb_relative_information_score: 16.9252, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8325, predictive_accuracy: 0.8765, prior_entropy: 0.5368, recall: 0.8765, relative_absolute_error: 0.925, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.9655, scimark_benchmark: 1348.1817, usercpu_time_millis: 8.937, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 8.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.893, kappa: 0.4472, kb_relative_information_score: 364.8677, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8956, predictive_accuracy: 0.9067, prior_entropy: 0.5368, recall: 0.9067, relative_absolute_error: 0.6502, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.268, root_relative_squared_error: 0.8185, scimark_benchmark: 1342.5529, usercpu_time_millis: 3.349, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 3.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.8991, kappa: 0.4699, kb_relative_information_score: 376.7161, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9112, predictive_accuracy: 0.915, prior_entropy: 0.5368, recall: 0.915, relative_absolute_error: 0.6461, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.7841, scimark_benchmark: 1333.3364, usercpu_time_millis: 8.862, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 8.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.8571, kappa: 0.2389, kb_relative_information_score: 153.9748, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8567, predictive_accuracy: 0.8834, prior_entropy: 0.5368, recall: 0.8834, relative_absolute_error: 0.7844, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.8925, scimark_benchmark: 1329.8644, usercpu_time_millis: 10.835, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 10.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7642, f_measure: 0.8313, kappa: 0.0695, kb_relative_information_score: -90.735, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8326, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9398, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.32, root_relative_squared_error: 0.9774, scimark_benchmark: 1337.7509, usercpu_time_millis: 15.31, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 15.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7657, f_measure: 0.827, kappa: 0.0373, kb_relative_information_score: 52.3367, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8705, predictive_accuracy: 0.88, prior_entropy: 0.5368, recall: 0.88, relative_absolute_error: 0.9628, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.9787, scimark_benchmark: 1358.3847, usercpu_time_millis: 4.627, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 4.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.8972, kappa: 0.4632, kb_relative_information_score: 373.3667, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9051, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.6398, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.7905, scimark_benchmark: 1357.6951, usercpu_time_millis: 3.218, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 3.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.8997, kappa: 0.4829, kb_relative_information_score: 428.2327, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9034, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.623, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.7914, scimark_benchmark: 1341.9723, usercpu_time_millis: 3.789, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 3.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.603, f_measure: 0.8298, kappa: 0.0546, kb_relative_information_score: 31.4117, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8653, predictive_accuracy: 0.8807, prior_entropy: 0.5368, recall: 0.8807, relative_absolute_error: 0.977, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.9914, scimark_benchmark: 1308.5861, usercpu_time_millis: 4.424, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 4.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, f_measure: 0.8314, kappa: 0.0639, kb_relative_information_score: 81.937, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8693, predictive_accuracy: 0.8813, prior_entropy: 0.5368, recall: 0.8813, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.9693, scimark_benchmark: 1283.4137, usercpu_time_millis: 3.922, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 3.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8948, kappa: 0.4468, kb_relative_information_score: 359.9274, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9058, predictive_accuracy: 0.9115, prior_entropy: 0.5368, recall: 0.9115, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.7918, scimark_benchmark: 1306.3117, usercpu_time_millis: 229.717, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 229.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6106, f_measure: 0.8267, kappa: 0.0358, kb_relative_information_score: 31.0619, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8541, predictive_accuracy: 0.8793, prior_entropy: 0.5368, recall: 0.8793, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.9918, scimark_benchmark: 1310.6713, usercpu_time_millis: 3.959, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 3.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7055, f_measure: 0.8263, kappa: 0.0343, kb_relative_information_score: -103.951, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8424, predictive_accuracy: 0.8786, prior_entropy: 0.5368, recall: 0.8786, relative_absolute_error: 0.9561, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.9785, scimark_benchmark: 1287.2602, usercpu_time_millis: 15.202, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 14.965,

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

OpenML bootcamp

From your own software

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

OpenML APIs