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: 0.8869, f_measure: 0.8821, kappa: 0.4293, kb_relative_information_score: 369.4602, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8787, predictive_accuracy: 0.8868, prior_entropy: 0.5368, recall: 0.8868, relative_absolute_error: 0.5901, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.8623, scimark_benchmark: 1892.0925, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.8861, kappa: 0.4689, kb_relative_information_score: 328.4156, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8861, predictive_accuracy: 0.8861, prior_entropy: 0.5368, recall: 0.8861, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.8881, scimark_benchmark: 1892.0925, usercpu_time_millis: 156.25, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7491, f_measure: 0.8771, kappa: 0.4296, kb_relative_information_score: 382.6604, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8777, predictive_accuracy: 0.8765, prior_entropy: 0.5368, recall: 0.8765, relative_absolute_error: 0.5731, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3491, root_relative_squared_error: 1.0663, scimark_benchmark: 1925.3565, usercpu_time_millis: 203.125, usercpu_time_millis_testing: 187.5, usercpu_time_millis_training: 15.625,
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: 1925.3565, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.8884, kappa: 0.459, kb_relative_information_score: 271.9851, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8853, predictive_accuracy: 0.893, prior_entropy: 0.5368, recall: 0.893, relative_absolute_error: 0.7291, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.8824, scimark_benchmark: 1925.3565, usercpu_time_millis: 796.875, usercpu_time_millis_training: 796.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, f_measure: 0.8862, kappa: 0.3952, kb_relative_information_score: 639.0575, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9011, predictive_accuracy: 0.9067, prior_entropy: 0.5368, recall: 0.9067, relative_absolute_error: 0.4344, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.9329, scimark_benchmark: 1925.3565, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.555, f_measure: 0.8502, kappa: 0.176, kb_relative_information_score: 489.2505, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8874, predictive_accuracy: 0.8896, prior_entropy: 0.5368, recall: 0.8896, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3323, root_relative_squared_error: 1.015, scimark_benchmark: 1925.3565, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.87, kappa: 0.3736, kb_relative_information_score: 298.2671, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8664, predictive_accuracy: 0.8745, prior_entropy: 0.5368, recall: 0.8745, relative_absolute_error: 0.6107, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3454, root_relative_squared_error: 1.0552, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.8922, kappa: 0.4935, kb_relative_information_score: 479.6643, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8915, predictive_accuracy: 0.893, prior_entropy: 0.5368, recall: 0.893, relative_absolute_error: 0.5327, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.9053, scimark_benchmark: 1925.3565, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
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: 1925.3565, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8924, kappa: 0.4562, kb_relative_information_score: 412.7149, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8906, predictive_accuracy: 0.9026, prior_entropy: 0.5368, recall: 0.9026, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.258, root_relative_squared_error: 0.7882, scimark_benchmark: 1064.4098, usercpu_time_millis: 1440, usercpu_time_millis_training: 1440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.8931, kappa: 0.4462, kb_relative_information_score: 362.6148, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8968, predictive_accuracy: 0.9074, prior_entropy: 0.5368, recall: 0.9074, relative_absolute_error: 0.6111, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.7529, scimark_benchmark: 1925.3565, usercpu_time_millis: 343.75, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.884, kappa: 0.4342, kb_relative_information_score: 388.2677, mean_absolute_error: 0.1246, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8803, predictive_accuracy: 0.8896, prior_entropy: 0.5368, recall: 0.8896, relative_absolute_error: 0.5802, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.8545, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, f_measure: 0.8862, kappa: 0.3952, kb_relative_information_score: 639.0575, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9011, predictive_accuracy: 0.9067, prior_entropy: 0.5368, recall: 0.9067, relative_absolute_error: 0.4344, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.9329, scimark_benchmark: 1618.1738, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7256, f_measure: 0.8896, kappa: 0.4701, kb_relative_information_score: 357.0527, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8871, predictive_accuracy: 0.893, prior_entropy: 0.5368, recall: 0.893, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.9016, scimark_benchmark: 982.9707, usercpu_time_millis: 290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8924, kappa: 0.4562, kb_relative_information_score: 412.7149, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8906, predictive_accuracy: 0.9026, prior_entropy: 0.5368, recall: 0.9026, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.258, root_relative_squared_error: 0.7882, scimark_benchmark: 1329.2633, usercpu_time_millis: 900, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7491, f_measure: 0.8771, kappa: 0.4296, kb_relative_information_score: 382.6604, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8777, predictive_accuracy: 0.8765, prior_entropy: 0.5368, recall: 0.8765, relative_absolute_error: 0.5731, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3491, root_relative_squared_error: 1.0663, scimark_benchmark: 1344.6961, usercpu_time_millis: 440, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 20,
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: 1163.3824, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.81, f_measure: 0.8871, kappa: 0.4593, kb_relative_information_score: 281.6791, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8846, predictive_accuracy: 0.8903, prior_entropy: 0.5368, recall: 0.8903, relative_absolute_error: 0.7255, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.8813, scimark_benchmark: 1318.9948, usercpu_time_millis: 1230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1220,
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: 1465.8233, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.87, kappa: 0.3736, kb_relative_information_score: 298.2671, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8664, predictive_accuracy: 0.8745, prior_entropy: 0.5368, recall: 0.8745, relative_absolute_error: 0.6107, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3454, root_relative_squared_error: 1.0552, scimark_benchmark: 1300.6291, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.8902, kappa: 0.4344, kb_relative_information_score: 549.3723, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8915, predictive_accuracy: 0.904, prior_entropy: 0.5368, recall: 0.904, relative_absolute_error: 0.4882, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.8689, scimark_benchmark: 1665.974, usercpu_time_millis: 937.5, usercpu_time_millis_training: 937.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5339, f_measure: 0.6735, kappa: 0.0356, kb_relative_information_score: -1985.5617, mean_absolute_error: 0.3937, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7983, predictive_accuracy: 0.6063, prior_entropy: 0.5368, recall: 0.6063, relative_absolute_error: 1.8332, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.6274, root_relative_squared_error: 1.9165, scimark_benchmark: 1653.6552, usercpu_time_millis: 16670, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 16570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5268, f_measure: 0.6321, kappa: 0.0252, kb_relative_information_score: -2428.9905, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7963, predictive_accuracy: 0.5556, prior_entropy: 0.5368, recall: 0.5556, relative_absolute_error: 2.0696, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.6667, root_relative_squared_error: 2.0363, scimark_benchmark: 1689.0398, usercpu_time_millis: 83290, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 83170,
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: 1371.9049, usercpu_time_millis: 2080, usercpu_time_millis_testing: 930, usercpu_time_millis_training: 1150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4496, f_measure: 0.7746, kappa: -0.1143, kb_relative_information_score: -385.6226, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7603, predictive_accuracy: 0.7894, prior_entropy: 0.5368, recall: 0.7894, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4589, root_relative_squared_error: 1.4016, scimark_benchmark: 1390.0127, usercpu_time_millis: 480, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.8883, kappa: 0.4668, kb_relative_information_score: 310.1771, mean_absolute_error: 0.1508, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8861, predictive_accuracy: 0.8909, prior_entropy: 0.5368, recall: 0.8909, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.8905, scimark_benchmark: 1386.2143, usercpu_time_millis: 11660, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 11650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6812, f_measure: 0.8974, kappa: 0.4675, kb_relative_information_score: 681.0035, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9032, predictive_accuracy: 0.9115, prior_entropy: 0.5368, recall: 0.9115, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.9086, scimark_benchmark: 1145.5196, usercpu_time_millis: 2310, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 2160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.8816, kappa: 0.3833, kb_relative_information_score: 77.454, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8835, predictive_accuracy: 0.8985, prior_entropy: 0.5368, recall: 0.8985, relative_absolute_error: 0.666, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.8408, scimark_benchmark: 944.2477, usercpu_time_millis: 190, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.8538, kappa: 0.2086, kb_relative_information_score: -56.6992, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8628, predictive_accuracy: 0.8861, prior_entropy: 0.5368, recall: 0.8861, relative_absolute_error: 0.7623, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.8908, scimark_benchmark: 897.3581, usercpu_time_millis: 730, usercpu_time_millis_testing: 690, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.87, kappa: 0.3736, kb_relative_information_score: 298.2671, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8664, predictive_accuracy: 0.8745, prior_entropy: 0.5368, recall: 0.8745, relative_absolute_error: 0.6107, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3454, root_relative_squared_error: 1.0552, scimark_benchmark: 1810.662, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.9005, kappa: 0.4969, kb_relative_information_score: 355.0207, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9002, predictive_accuracy: 0.9102, prior_entropy: 0.5368, recall: 0.9102, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.7844, scimark_benchmark: 1429.388, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.9046, kappa: 0.5236, kb_relative_information_score: 413.6116, mean_absolute_error: 0.1222, 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: 0.5692, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.242, root_relative_squared_error: 0.7391, scimark_benchmark: 944.8364, usercpu_time_millis: 6180, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 5810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4496, f_measure: 0.7746, kappa: -0.1143, kb_relative_information_score: -385.6226, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7603, predictive_accuracy: 0.7894, prior_entropy: 0.5368, recall: 0.7894, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4589, root_relative_squared_error: 1.4016, scimark_benchmark: 1280.301, usercpu_time_millis: 375, usercpu_time_millis_testing: 140.625, usercpu_time_millis_training: 234.375,
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: 1280.301, usercpu_time_millis: 1890.625, usercpu_time_millis_testing: 921.875, usercpu_time_millis_training: 968.75,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.9056, kappa: 0.5422, kb_relative_information_score: 449.8182, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9033, predictive_accuracy: 0.9095, prior_entropy: 0.5368, recall: 0.9095, relative_absolute_error: 0.5346, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2471, root_relative_squared_error: 0.7546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8909, kappa: 0.4486, kb_relative_information_score: 313.4574, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8888, predictive_accuracy: 0.9012, prior_entropy: 0.5368, recall: 0.9012, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.7969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.8322, kappa: 0.0699, kb_relative_information_score: -3982.3506, mean_absolute_error: 0.4797, 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: 2.2336, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4816, root_relative_squared_error: 1.4709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.8208, kb_relative_information_score: -240.571, mean_absolute_error: 0.1709, 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: 0.7959, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.8924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5157, f_measure: 0.8208, kb_relative_information_score: 1.304, mean_absolute_error: 0.2131, 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: 0.9922, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.9975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, f_measure: 0.8862, kappa: 0.3952, kb_relative_information_score: 639.0575, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9011, predictive_accuracy: 0.9067, prior_entropy: 0.5368, recall: 0.9067, relative_absolute_error: 0.4344, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.9329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8702, kappa: 0.3559, kb_relative_information_score: 260.4939, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8648, predictive_accuracy: 0.8793, prior_entropy: 0.5368, recall: 0.8793, relative_absolute_error: 0.6391, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.8768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8715, kappa: 0.3333, kb_relative_information_score: 274.2854, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8691, predictive_accuracy: 0.8889, prior_entropy: 0.5368, recall: 0.8889, relative_absolute_error: 0.6271, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2661, root_relative_squared_error: 0.8127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.8625, kappa: 0.3508, kb_relative_information_score: 96.8814, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8609, predictive_accuracy: 0.8642, prior_entropy: 0.5368, recall: 0.8642, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3384, root_relative_squared_error: 1.0335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5863, f_measure: 0.8654, kappa: 0.2658, kb_relative_information_score: 561.1578, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.902, predictive_accuracy: 0.8978, prior_entropy: 0.5368, recall: 0.8978, relative_absolute_error: 0.4759, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.9765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.8966, kappa: 0.5254, kb_relative_information_score: 515.8464, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8984, predictive_accuracy: 0.8951, prior_entropy: 0.5368, recall: 0.8951, relative_absolute_error: 0.5136, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.9574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.8504, kappa: 0.2952, kb_relative_information_score: 126.3234, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.849, predictive_accuracy: 0.8519, prior_entropy: 0.5368, recall: 0.8519, relative_absolute_error: 0.6977, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3703, root_relative_squared_error: 1.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.8864, kappa: 0.4083, kb_relative_information_score: 303.1628, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8898, predictive_accuracy: 0.9026, prior_entropy: 0.5368, recall: 0.9026, relative_absolute_error: 0.6406, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.7627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.8704, kappa: 0.3926, kb_relative_information_score: 343.8893, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8698, predictive_accuracy: 0.8711, prior_entropy: 0.5368, recall: 0.8711, relative_absolute_error: 0.5935, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3511, root_relative_squared_error: 1.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.8718, kappa: 0.3615, kb_relative_information_score: 173.9037, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8665, predictive_accuracy: 0.8813, prior_entropy: 0.5368, recall: 0.8813, relative_absolute_error: 0.6791, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.317, root_relative_squared_error: 0.9684,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8806, kappa: 0.3642, kb_relative_information_score: 247.6584, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8939, predictive_accuracy: 0.9026, prior_entropy: 0.5368, recall: 0.9026, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.732, f_measure: 0.8788, kappa: 0.4386, kb_relative_information_score: 384.922, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8797, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.5706, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3492, root_relative_squared_error: 1.0668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.9108, kappa: 0.5741, kb_relative_information_score: 685.7271, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9092, predictive_accuracy: 0.9129, prior_entropy: 0.5368, recall: 0.9129, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2817, root_relative_squared_error: 0.8606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.8953, kappa: 0.5061, kb_relative_information_score: 469.3039, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8942, predictive_accuracy: 0.8964, prior_entropy: 0.5368, recall: 0.8964, relative_absolute_error: 0.5454, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.8684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8047, f_measure: 0.8647, kappa: 0.3495, kb_relative_information_score: -952.8388, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8611, predictive_accuracy: 0.869, prior_entropy: 0.5368, recall: 0.869, relative_absolute_error: 1.1326, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3328, root_relative_squared_error: 1.0166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.8287, kappa: 0.0978, kb_relative_information_score: 22.3345, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8123, predictive_accuracy: 0.8567, prior_entropy: 0.5368, recall: 0.8567, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3613, root_relative_squared_error: 1.1036,

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