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: 0.8181, f_measure: 0.7846, kappa: 0.2946, kb_relative_information_score: -833.6256, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8752, predictive_accuracy: 0.7435, prior_entropy: 0.5368, recall: 0.7435, relative_absolute_error: 1.2019, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.5184, scimark_benchmark: 1350.9691, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5052, f_measure: 0.8238, kappa: 0.0181, kb_relative_information_score: 393.374, mean_absolute_error: 0.1214, 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: 0.5653, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3484, root_relative_squared_error: 1.0643, scimark_benchmark: 1331.6907, usercpu_time_millis: 2170, usercpu_time_millis_testing: 1040, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.9039, kappa: 0.5081, kb_relative_information_score: 416.2459, mean_absolute_error: 0.1246, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9068, predictive_accuracy: 0.915, prior_entropy: 0.5368, recall: 0.915, relative_absolute_error: 0.5803, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.254, root_relative_squared_error: 0.7758, scimark_benchmark: 909.1698, usercpu_time_millis: 183770, usercpu_time_millis_testing: 760, usercpu_time_millis_training: 183010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.7769, kappa: 0.247, kb_relative_information_score: -853.0205, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8576, predictive_accuracy: 0.7359, prior_entropy: 0.5368, recall: 0.7359, relative_absolute_error: 1.2296, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.5139, root_relative_squared_error: 1.5696, scimark_benchmark: 916.5955, usercpu_time_millis: 390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.8859, kappa: 0.4045, kb_relative_information_score: 263.3311, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.89, predictive_accuracy: 0.9026, prior_entropy: 0.5368, recall: 0.9026, relative_absolute_error: 0.6522, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.8049, scimark_benchmark: 1335.643, usercpu_time_millis: 560, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5578, f_measure: 0.8515, kappa: 0.1843, kb_relative_information_score: 495.2427, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8886, predictive_accuracy: 0.8903, prior_entropy: 0.5368, recall: 0.8903, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3313, root_relative_squared_error: 1.0119, scimark_benchmark: 939.449, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8208, kb_relative_information_score: 387.3817, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.5685, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3494, root_relative_squared_error: 1.0673, scimark_benchmark: 885.0921, usercpu_time_millis: 650, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.9025, kappa: 0.5036, kb_relative_information_score: 692.988, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9037, predictive_accuracy: 0.9129, prior_entropy: 0.5368, recall: 0.9129, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9015, scimark_benchmark: 937.6212, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.8719, kappa: 0.3683, kb_relative_information_score: 110.905, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8669, predictive_accuracy: 0.88, prior_entropy: 0.5368, recall: 0.88, relative_absolute_error: 0.6583, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.9036, scimark_benchmark: 1304.9611, usercpu_time_millis: 610, usercpu_time_millis_testing: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.8708, kappa: 0.3414, kb_relative_information_score: 4.8523, mean_absolute_error: 0.1521, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.866, predictive_accuracy: 0.8848, prior_entropy: 0.5368, recall: 0.8848, relative_absolute_error: 0.7084, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.8874, scimark_benchmark: 930.5999, usercpu_time_millis: 660, usercpu_time_millis_testing: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8795, kappa: 0.371, kb_relative_information_score: 244.0181, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8813, predictive_accuracy: 0.8971, prior_entropy: 0.5368, recall: 0.8971, relative_absolute_error: 0.6407, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.8102, scimark_benchmark: 933.3136, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8855, kappa: 0.4102, kb_relative_information_score: 274.0195, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8856, predictive_accuracy: 0.8999, prior_entropy: 0.5368, recall: 0.8999, relative_absolute_error: 0.6252, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.8051, scimark_benchmark: 937.1527, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.8933, kappa: 0.4616, kb_relative_information_score: 345.2299, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8915, predictive_accuracy: 0.9033, prior_entropy: 0.5368, recall: 0.9033, relative_absolute_error: 0.5941, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2595, root_relative_squared_error: 0.7926, scimark_benchmark: 1304.9611, usercpu_time_millis: 380, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8903, kappa: 0.4463, kb_relative_information_score: 390.8912, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.888, predictive_accuracy: 0.9005, prior_entropy: 0.5368, recall: 0.9005, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.7872, scimark_benchmark: 934.1747, usercpu_time_millis: 850, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8974, kappa: 0.4858, kb_relative_information_score: 458.0033, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8955, predictive_accuracy: 0.906, prior_entropy: 0.5368, recall: 0.906, relative_absolute_error: 0.5401, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.7775, scimark_benchmark: 1304.6687, usercpu_time_millis: 1560, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.873, kappa: 0.3416, kb_relative_information_score: 109.0069, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8711, predictive_accuracy: 0.8903, prior_entropy: 0.5368, recall: 0.8903, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.8862, scimark_benchmark: 930.5999, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.8876, kappa: 0.4288, kb_relative_information_score: 344.185, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8856, predictive_accuracy: 0.8992, prior_entropy: 0.5368, recall: 0.8992, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2517, root_relative_squared_error: 0.7689, scimark_benchmark: 1304.9611, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.9012, kappa: 0.5157, kb_relative_information_score: 519.738, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8987, predictive_accuracy: 0.9067, prior_entropy: 0.5368, recall: 0.9067, relative_absolute_error: 0.5117, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2477, root_relative_squared_error: 0.7567, scimark_benchmark: 1325.2092, usercpu_time_millis: 580, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.8608, kappa: 0.2419, kb_relative_information_score: 134.6308, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8871, predictive_accuracy: 0.8937, prior_entropy: 0.5368, recall: 0.8937, relative_absolute_error: 0.751, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.8311, scimark_benchmark: 1320.2556, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8613, kappa: 0.244, kb_relative_information_score: 160.8093, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8902, predictive_accuracy: 0.8944, prior_entropy: 0.5368, recall: 0.8944, relative_absolute_error: 0.7357, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2669, root_relative_squared_error: 0.8153, scimark_benchmark: 1321.527, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8657, kappa: 0.269, kb_relative_information_score: 176.6216, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8963, predictive_accuracy: 0.8971, prior_entropy: 0.5368, recall: 0.8971, relative_absolute_error: 0.726, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.8067, scimark_benchmark: 1028.5889, usercpu_time_millis: 530, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6934, f_measure: 0.8648, kappa: 0.3725, kb_relative_information_score: 276.8845, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8655, predictive_accuracy: 0.8642, prior_entropy: 0.5368, recall: 0.8642, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3662, root_relative_squared_error: 1.1185, scimark_benchmark: 912.7324, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6576, f_measure: 0.8279, kappa: 0.0437, kb_relative_information_score: -4018.2419, mean_absolute_error: 0.4838, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8495, predictive_accuracy: 0.8793, prior_entropy: 0.5368, recall: 0.8793, relative_absolute_error: 2.2526, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4854, root_relative_squared_error: 1.4826, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.8208, kb_relative_information_score: -2.6663, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.4757, kappa: 0.0965, kb_relative_information_score: -3788.7744, mean_absolute_error: 0.4689, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8823, predictive_accuracy: 0.4129, prior_entropy: 0.5368, recall: 0.4129, relative_absolute_error: 2.1832, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4807, root_relative_squared_error: 1.4682, scimark_benchmark: 916.6405, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8911, kappa: 0.4527, kb_relative_information_score: 348.3563, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8885, predictive_accuracy: 0.9005, prior_entropy: 0.5368, recall: 0.9005, relative_absolute_error: 0.5982, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.7709, scimark_benchmark: 1319.59, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8873, kappa: 0.4311, kb_relative_information_score: 347.4067, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8845, predictive_accuracy: 0.8978, prior_entropy: 0.5368, recall: 0.8978, relative_absolute_error: 0.5956, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.7878, scimark_benchmark: 1298.6659, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.8979, kappa: 0.4921, kb_relative_information_score: 450.9699, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8955, predictive_accuracy: 0.9054, prior_entropy: 0.5368, recall: 0.9054, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2479, root_relative_squared_error: 0.7572, scimark_benchmark: 1073.494, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.867, kappa: 0.2766, kb_relative_information_score: 177.7621, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8972, predictive_accuracy: 0.8978, prior_entropy: 0.5368, recall: 0.8978, relative_absolute_error: 0.7249, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.8043, scimark_benchmark: 1334.8495, usercpu_time_millis: 740, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.8974, kappa: 0.5224, kb_relative_information_score: 184.2522, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8976, predictive_accuracy: 0.8971, prior_entropy: 0.5368, recall: 0.8971, relative_absolute_error: 0.6422, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.8615, scimark_benchmark: 1340.0078, usercpu_time_millis: 1930, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8757, kappa: 0.3817, kb_relative_information_score: 242.4567, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8708, predictive_accuracy: 0.8848, prior_entropy: 0.5368, recall: 0.8848, relative_absolute_error: 0.6476, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.8134, scimark_benchmark: 1367.8403, usercpu_time_millis: 520, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7732, f_measure: 0.8911, kappa: 0.4802, kb_relative_information_score: 485.1755, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.889, predictive_accuracy: 0.8937, prior_entropy: 0.5368, recall: 0.8937, relative_absolute_error: 0.5304, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.9061, scimark_benchmark: 1331.0755, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.8208, kb_relative_information_score: -237.2517, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.7948, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.8924, scimark_benchmark: 1332.6319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.8784, kappa: 0.3571, kb_relative_information_score: -96.265, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8858, predictive_accuracy: 0.8992, prior_entropy: 0.5368, recall: 0.8992, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.8476, scimark_benchmark: 1329.4984, usercpu_time_millis: 540, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.8208, kb_relative_information_score: -2.4719, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1, scimark_benchmark: 1300.7817, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.9049, kappa: 0.5233, kb_relative_information_score: 395.1834, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.904, predictive_accuracy: 0.9129, prior_entropy: 0.5368, recall: 0.9129, relative_absolute_error: 0.5768, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.7796, scimark_benchmark: 1328.4045, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.8509, kappa: 0.1892, kb_relative_information_score: -196.5043, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.862, predictive_accuracy: 0.8855, prior_entropy: 0.5368, recall: 0.8855, relative_absolute_error: 0.9104, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.8967, scimark_benchmark: 1313.9606, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.827, kappa: 0.3952, kb_relative_information_score: -469.8275, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8955, predictive_accuracy: 0.797, prior_entropy: 0.5368, recall: 0.797, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.2469, scimark_benchmark: 926.6704, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.827, kappa: 0.3952, kb_relative_information_score: -469.8275, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8955, predictive_accuracy: 0.797, prior_entropy: 0.5368, recall: 0.797, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.2469, scimark_benchmark: 1288.1375, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.827, kappa: 0.3952, kb_relative_information_score: -469.8275, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8955, predictive_accuracy: 0.797, prior_entropy: 0.5368, recall: 0.797, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.2469, scimark_benchmark: 918.0213, usercpu_time_millis: 90, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.827, kappa: 0.3952, kb_relative_information_score: -469.8275, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8955, predictive_accuracy: 0.797, prior_entropy: 0.5368, recall: 0.797, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.2469, scimark_benchmark: 1341.5795, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.9039, kappa: 0.5081, kb_relative_information_score: 416.2463, mean_absolute_error: 0.1246, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9068, predictive_accuracy: 0.915, prior_entropy: 0.5368, recall: 0.915, relative_absolute_error: 0.5803, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.254, root_relative_squared_error: 0.7758, scimark_benchmark: 1059.8591, usercpu_time_millis: 181560, usercpu_time_millis_testing: 550, usercpu_time_millis_training: 181010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.8904, kappa: 0.4333, kb_relative_information_score: 365.7418, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8926, predictive_accuracy: 0.9047, prior_entropy: 0.5368, recall: 0.9047, relative_absolute_error: 0.6072, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.7555, scimark_benchmark: 1326.8946, usercpu_time_millis: 480, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.827, kappa: 0.3952, kb_relative_information_score: -469.8275, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8955, predictive_accuracy: 0.797, prior_entropy: 0.5368, recall: 0.797, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.2469, scimark_benchmark: 1347.993, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.827, kappa: 0.3952, kb_relative_information_score: -469.8275, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8955, predictive_accuracy: 0.797, prior_entropy: 0.5368, recall: 0.797, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.2469, scimark_benchmark: 938.0414, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.8904, kappa: 0.4333, kb_relative_information_score: 365.7418, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8926, predictive_accuracy: 0.9047, prior_entropy: 0.5368, recall: 0.9047, relative_absolute_error: 0.6072, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.7555, scimark_benchmark: 1322.7257, usercpu_time_millis: 410, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.8974, kappa: 0.5224, kb_relative_information_score: 184.2522, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8976, predictive_accuracy: 0.8971, prior_entropy: 0.5368, recall: 0.8971, relative_absolute_error: 0.6422, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.8615, scimark_benchmark: 1354.3488, usercpu_time_millis: 2110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.827, kappa: 0.3952, kb_relative_information_score: -469.8275, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8955, predictive_accuracy: 0.797, prior_entropy: 0.5368, recall: 0.797, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.2469, scimark_benchmark: 1347.993, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5052, f_measure: 0.8238, kappa: 0.0181, kb_relative_information_score: 393.374, mean_absolute_error: 0.1214, 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: 0.5653, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3484, root_relative_squared_error: 1.0643, scimark_benchmark: 1346.2761, usercpu_time_millis: 7510, usercpu_time_millis_testing: 3500, usercpu_time_millis_training: 4010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.8974, kappa: 0.5224, kb_relative_information_score: 184.2522, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8976, predictive_accuracy: 0.8971, prior_entropy: 0.5368, recall: 0.8971, relative_absolute_error: 0.6422, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.8615, scimark_benchmark: 1322.806, usercpu_time_millis: 1780, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5052, f_measure: 0.8238, kappa: 0.0181, kb_relative_information_score: 393.374, mean_absolute_error: 0.1214, 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: 0.5653, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3484, root_relative_squared_error: 1.0643, scimark_benchmark: 1319.688, usercpu_time_millis: 2210, usercpu_time_millis_testing: 1060, usercpu_time_millis_training: 1150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.867, kappa: 0.301, kb_relative_information_score: 39.219, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8666, predictive_accuracy: 0.8882, prior_entropy: 0.5368, recall: 0.8882, relative_absolute_error: 0.7049, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2918, root_relative_squared_error: 0.8912, scimark_benchmark: 1317.071, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.827, kappa: 0.3952, kb_relative_information_score: -469.8275, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8955, predictive_accuracy: 0.797, prior_entropy: 0.5368, recall: 0.797, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.2469, scimark_benchmark: 1333.1149, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8911, kappa: 0.4527, kb_relative_information_score: 348.3563, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8885, predictive_accuracy: 0.9005, prior_entropy: 0.5368, recall: 0.9005, relative_absolute_error: 0.5982, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.7709, scimark_benchmark: 1314.2279, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.827, kappa: 0.3952, kb_relative_information_score: -469.8275, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8955, predictive_accuracy: 0.797, prior_entropy: 0.5368, recall: 0.797, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.2469, scimark_benchmark: 1336.4701, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.827, kappa: 0.3952, kb_relative_information_score: -469.8275, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8955, predictive_accuracy: 0.797, prior_entropy: 0.5368, recall: 0.797, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.2469, scimark_benchmark: 1335.2357, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7846, kappa: 0.2946, kb_relative_information_score: -833.6256, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8752, predictive_accuracy: 0.7435, prior_entropy: 0.5368, recall: 0.7435, relative_absolute_error: 1.2019, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.5184, scimark_benchmark: 1317.2327, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8858, kappa: 0.429, kb_relative_information_score: 326.496, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8823, predictive_accuracy: 0.8951, prior_entropy: 0.5368, recall: 0.8951, relative_absolute_error: 0.6138, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.275, root_relative_squared_error: 0.8398, scimark_benchmark: 1360.6367, usercpu_time_millis: 2080, usercpu_time_millis_training: 2080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8757, kappa: 0.3817, kb_relative_information_score: 242.4567, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8708, predictive_accuracy: 0.8848, prior_entropy: 0.5368, recall: 0.8848, relative_absolute_error: 0.6476, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.8134, scimark_benchmark: 1336.4564, usercpu_time_millis: 590, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.8947, kappa: 0.4982, kb_relative_information_score: 540.652, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8928, predictive_accuracy: 0.8971, prior_entropy: 0.5368, recall: 0.8971, relative_absolute_error: 0.4901, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.9216, scimark_benchmark: 1322.0065, usercpu_time_millis: 250, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.8908, kappa: 0.4775, kb_relative_information_score: 53.7341, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8885, predictive_accuracy: 0.8937, prior_entropy: 0.5368, recall: 0.8937, relative_absolute_error: 0.7226, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.8117, scimark_benchmark: 1310.3168, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.8904, kappa: 0.4333, kb_relative_information_score: 365.7418, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8926, predictive_accuracy: 0.9047, prior_entropy: 0.5368, recall: 0.9047, relative_absolute_error: 0.6072, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.7555, scimark_benchmark: 1323.5075, usercpu_time_millis: 540, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.827, kappa: 0.3952, kb_relative_information_score: -469.8275, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8955, predictive_accuracy: 0.797, prior_entropy: 0.5368, recall: 0.797, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.2469, scimark_benchmark: 1324.6442, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8911, kappa: 0.4527, kb_relative_information_score: 348.3563, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8885, predictive_accuracy: 0.9005, prior_entropy: 0.5368, recall: 0.9005, relative_absolute_error: 0.5982, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.7709, scimark_benchmark: 1332.7986, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.827, kappa: 0.3952, kb_relative_information_score: -469.8275, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8955, predictive_accuracy: 0.797, prior_entropy: 0.5368, recall: 0.797, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.2469, scimark_benchmark: 1374.9737, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,

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