OpenML
Supervised Classification on bank32nh

Supervised Classification on bank32nh

Task 3698 Supervised Classification bank32nh 544 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.788, kappa: 0.489, kb_relative_information_score: 2830.1883, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7946, predictive_accuracy: 0.7998, prior_entropy: 0.8937, recall: 0.7998, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7921, scimark_benchmark: 1343.4596, usercpu_time_millis: 190, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.788, kappa: 0.489, kb_relative_information_score: 2830.1883, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7946, predictive_accuracy: 0.7998, prior_entropy: 0.8937, recall: 0.7998, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7921, scimark_benchmark: 1064.8317, usercpu_time_millis: 220, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6311, f_measure: 0.6987, kappa: 0.2884, kb_relative_information_score: 1828.5406, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.6959, predictive_accuracy: 0.7025, prior_entropy: 0.8937, recall: 0.7025, relative_absolute_error: 0.7434, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.521, root_relative_squared_error: 1.126, scimark_benchmark: 1345.7204, usercpu_time_millis: 1090, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.8136, kappa: 0.5587, kb_relative_information_score: 4454.1666, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8126, predictive_accuracy: 0.8167, prior_entropy: 0.8937, recall: 0.8167, relative_absolute_error: 0.4282, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.9255, scimark_benchmark: 1345.7204, usercpu_time_millis: 850, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7015, f_measure: 0.7659, kappa: 0.4487, kb_relative_information_score: 3254.3097, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7644, predictive_accuracy: 0.7679, prior_entropy: 0.8937, recall: 0.7679, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4637, root_relative_squared_error: 1.0023, scimark_benchmark: 1352.2099, usercpu_time_millis: 1450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.7943, kappa: 0.5128, kb_relative_information_score: 3031.0609, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.793, predictive_accuracy: 0.7979, prior_entropy: 0.8937, recall: 0.7979, relative_absolute_error: 0.6341, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.8165, scimark_benchmark: 1355.2525, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.7832, kappa: 0.4832, kb_relative_information_score: 1808.7846, mean_absolute_error: 0.339, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7823, predictive_accuracy: 0.7892, prior_entropy: 0.8937, recall: 0.7892, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.8328, scimark_benchmark: 1328.941, usercpu_time_millis: 2380, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.8087, kappa: 0.5451, kb_relative_information_score: 3555.2247, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8082, predictive_accuracy: 0.8132, prior_entropy: 0.8937, recall: 0.8132, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7756, scimark_benchmark: 1319.3406, usercpu_time_millis: 5350, usercpu_time_millis_training: 5350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.7832, kappa: 0.4832, kb_relative_information_score: 1808.7846, mean_absolute_error: 0.339, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7823, predictive_accuracy: 0.7892, prior_entropy: 0.8937, recall: 0.7892, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.8328, scimark_benchmark: 1345.842, usercpu_time_millis: 2400, usercpu_time_millis_training: 2400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.7954, kappa: 0.5111, kb_relative_information_score: 3051.277, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7957, predictive_accuracy: 0.8019, prior_entropy: 0.8937, recall: 0.8019, relative_absolute_error: 0.6324, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7945, scimark_benchmark: 1342.1678, usercpu_time_millis: 4600, usercpu_time_millis_training: 4600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.7943, kappa: 0.5128, kb_relative_information_score: 3031.0609, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.793, predictive_accuracy: 0.7979, prior_entropy: 0.8937, recall: 0.7979, relative_absolute_error: 0.6341, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.8165, scimark_benchmark: 1335.643, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.7362, kappa: 0.3618, kb_relative_information_score: 1720.7163, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7946, predictive_accuracy: 0.774, prior_entropy: 0.8937, recall: 0.774, relative_absolute_error: 0.8193, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.85, scimark_benchmark: 1311.9814, usercpu_time_millis: 13660, usercpu_time_millis_testing: 570, usercpu_time_millis_training: 13090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7764, f_measure: 0.7871, kappa: 0.4987, kb_relative_information_score: 3782.0523, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7858, predictive_accuracy: 0.7889, prior_entropy: 0.8937, recall: 0.7889, relative_absolute_error: 0.5081, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.9521, scimark_benchmark: 912.7324, usercpu_time_millis: 2040, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 1670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.6567, kappa: 0.167, kb_relative_information_score: 1858.4128, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.6579, predictive_accuracy: 0.6914, prior_entropy: 0.8937, recall: 0.6914, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.5337, root_relative_squared_error: 1.1534, scimark_benchmark: 1339.4964, usercpu_time_millis: 7251240, usercpu_time_millis_testing: 7251230, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.7895, kappa: 0.4928, kb_relative_information_score: 2852.8392, mean_absolute_error: 0.2851, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7956, predictive_accuracy: 0.8009, prior_entropy: 0.8937, recall: 0.8009, relative_absolute_error: 0.6658, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7913, scimark_benchmark: 1341.4232, usercpu_time_millis: 2010, usercpu_time_millis_testing: 1700, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.7943, kappa: 0.5128, kb_relative_information_score: 3031.0609, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.793, predictive_accuracy: 0.7979, prior_entropy: 0.8937, recall: 0.7979, relative_absolute_error: 0.6341, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.8165, scimark_benchmark: 1314.7093, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, f_measure: 0.7723, kappa: 0.4521, kb_relative_information_score: 2848.0207, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7754, predictive_accuracy: 0.7836, prior_entropy: 0.8937, recall: 0.7836, relative_absolute_error: 0.6605, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8889, scimark_benchmark: 1371.9645, usercpu_time_millis: 4440, usercpu_time_millis_training: 4440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6718, f_measure: 0.7401, kappa: 0.378, kb_relative_information_score: 1354.9464, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7382, predictive_accuracy: 0.7494, prior_entropy: 0.8937, recall: 0.7494, relative_absolute_error: 0.8514, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.9237, scimark_benchmark: 854.5188, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.8113, kappa: 0.5495, kb_relative_information_score: 3527.2445, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8121, predictive_accuracy: 0.8171, prior_entropy: 0.8937, recall: 0.8171, relative_absolute_error: 0.5762, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7608, scimark_benchmark: 1314.0383, usercpu_time_millis: 16570, usercpu_time_millis_training: 16570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.7832, kappa: 0.4832, kb_relative_information_score: 1808.7846, mean_absolute_error: 0.339, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7823, predictive_accuracy: 0.7892, prior_entropy: 0.8937, recall: 0.7892, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.8328, scimark_benchmark: 932.5646, usercpu_time_millis: 3570, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, f_measure: 0.7855, kappa: 0.4849, kb_relative_information_score: 3936.3328, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7882, predictive_accuracy: 0.795, prior_entropy: 0.8937, recall: 0.795, relative_absolute_error: 0.489, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.423, root_relative_squared_error: 0.9143, scimark_benchmark: 1360.1753, usercpu_time_millis: 44810, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 44790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, f_measure: 0.7415, kappa: 0.3742, kb_relative_information_score: 1722.0687, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7955, predictive_accuracy: 0.7771, prior_entropy: 0.8937, recall: 0.7771, relative_absolute_error: 0.8187, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.8502, scimark_benchmark: 1261.7298, usercpu_time_millis: 6650, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 6450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.7994, kappa: 0.5224, kb_relative_information_score: 3101.7032, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7989, predictive_accuracy: 0.8046, prior_entropy: 0.8937, recall: 0.8046, relative_absolute_error: 0.6225, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.7883, scimark_benchmark: 896.937, usercpu_time_millis: 4720, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 4660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.765, f_measure: 0.8139, kappa: 0.5564, kb_relative_information_score: 4503.9316, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8143, predictive_accuracy: 0.8191, prior_entropy: 0.8937, recall: 0.8191, relative_absolute_error: 0.4225, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.9193, scimark_benchmark: 1317.1597, usercpu_time_millis: 2870, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8142, kappa: 0.5573, kb_relative_information_score: 3673.3758, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8144, predictive_accuracy: 0.8192, prior_entropy: 0.8937, recall: 0.8192, relative_absolute_error: 0.5537, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7622, scimark_benchmark: 904.3681, usercpu_time_millis: 51210, usercpu_time_millis_testing: 6030, usercpu_time_millis_training: 45180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.7407, kappa: 0.3795, kb_relative_information_score: 1413.1871, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7388, predictive_accuracy: 0.7498, prior_entropy: 0.8937, recall: 0.7498, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.9201, scimark_benchmark: 1337.6765, usercpu_time_millis: 907550, usercpu_time_millis_testing: 907550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5462, f_measure: 0.6197, kappa: 0.0961, kb_relative_information_score: 609.827, mean_absolute_error: 0.3719, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.6135, predictive_accuracy: 0.6281, prior_entropy: 0.8937, recall: 0.6281, relative_absolute_error: 0.8688, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.6099, root_relative_squared_error: 1.3182, scimark_benchmark: 923.6051, usercpu_time_millis: 58990, usercpu_time_millis_testing: 58990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6026, f_measure: 0.6889, kappa: 0.2469, kb_relative_information_score: 2729.8123, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7202, predictive_accuracy: 0.7321, prior_entropy: 0.8937, recall: 0.7321, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.1188, scimark_benchmark: 1329.8847, usercpu_time_millis: 33060, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 32540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7468, f_measure: 0.7853, kappa: 0.4896, kb_relative_information_score: 2570.3958, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7839, predictive_accuracy: 0.79, prior_entropy: 0.8937, recall: 0.79, relative_absolute_error: 0.7065, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8679, scimark_benchmark: 1340.4336, usercpu_time_millis: 2610, usercpu_time_millis_training: 2610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.7832, kappa: 0.4832, kb_relative_information_score: 1808.7846, mean_absolute_error: 0.339, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7823, predictive_accuracy: 0.7892, prior_entropy: 0.8937, recall: 0.7892, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.8328, scimark_benchmark: 1311.7039, usercpu_time_millis: 2510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.7448, kappa: 0.3818, kb_relative_information_score: 1785.4855, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7976, predictive_accuracy: 0.7793, prior_entropy: 0.8937, recall: 0.7793, relative_absolute_error: 0.812, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.8446, scimark_benchmark: 1312.0581, usercpu_time_millis: 31350, usercpu_time_millis_testing: 1020, usercpu_time_millis_training: 30330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.8106, kappa: 0.5498, kb_relative_information_score: 3564.8871, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8099, predictive_accuracy: 0.8147, prior_entropy: 0.8937, recall: 0.8147, relative_absolute_error: 0.5632, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7809, scimark_benchmark: 1305.601, usercpu_time_millis: 8700, usercpu_time_millis_training: 8700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.8084, kappa: 0.5432, kb_relative_information_score: 3472.1485, mean_absolute_error: 0.2474, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8084, predictive_accuracy: 0.8136, prior_entropy: 0.8937, recall: 0.8136, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.7775, scimark_benchmark: 855.8522, usercpu_time_millis: 2260, usercpu_time_millis_training: 2260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.8152, kappa: 0.5626, kb_relative_information_score: 3810.449, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8141, predictive_accuracy: 0.818, prior_entropy: 0.8937, recall: 0.818, relative_absolute_error: 0.5303, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.765, scimark_benchmark: 1307.9718, usercpu_time_millis: 669900, usercpu_time_millis_testing: 17560, usercpu_time_millis_training: 652340,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6311, f_measure: 0.6987, kappa: 0.2884, kb_relative_information_score: 1828.5406, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.6959, predictive_accuracy: 0.7025, prior_entropy: 0.8937, recall: 0.7025, relative_absolute_error: 0.7434, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.521, root_relative_squared_error: 1.126, scimark_benchmark: 1303.6621, usercpu_time_millis: 890, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 860,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7601, f_measure: 0.6947, kappa: 0.4152, kb_relative_information_score: 1796.7202, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.82, predictive_accuracy: 0.6863, prior_entropy: 0.8937, recall: 0.6863, relative_absolute_error: 0.7328, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.5601, root_relative_squared_error: 1.2106, scimark_benchmark: 1304.9611, usercpu_time_millis: 960, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5729, f_measure: 0.6577, kappa: 0.1899, kb_relative_information_score: 2762.1595, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7945, predictive_accuracy: 0.7336, prior_entropy: 0.8937, recall: 0.7336, relative_absolute_error: 0.6221, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.5161, root_relative_squared_error: 1.1155, scimark_benchmark: 1333.5799, usercpu_time_millis: 170130, usercpu_time_millis_testing: 14130, usercpu_time_millis_training: 156000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, f_measure: 0.81, kappa: 0.545, kb_relative_information_score: 4461.6314, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8122, predictive_accuracy: 0.817, prior_entropy: 0.8937, recall: 0.817, relative_absolute_error: 0.4274, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.9246, scimark_benchmark: 1287.514, usercpu_time_millis: 11510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 11500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8113, kappa: 0.5493, kb_relative_information_score: 3523.6182, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8123, predictive_accuracy: 0.8173, prior_entropy: 0.8937, recall: 0.8173, relative_absolute_error: 0.5767, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7605, scimark_benchmark: 934.6432, usercpu_time_millis: 3440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.765, f_measure: 0.8139, kappa: 0.5564, kb_relative_information_score: 4503.9316, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8143, predictive_accuracy: 0.8191, prior_entropy: 0.8937, recall: 0.8191, relative_absolute_error: 0.4225, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.9193, scimark_benchmark: 938.343, usercpu_time_millis: 4190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7858, kappa: 0.4833, kb_relative_information_score: 2805.4651, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7933, predictive_accuracy: 0.7983, prior_entropy: 0.8937, recall: 0.7983, relative_absolute_error: 0.6729, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7931, scimark_benchmark: 1290.1085, usercpu_time_millis: 150, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7856, kappa: 0.4828, kb_relative_information_score: 2803.1735, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7932, predictive_accuracy: 0.7982, prior_entropy: 0.8937, recall: 0.7982, relative_absolute_error: 0.6733, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7932, scimark_benchmark: 1250.8301, usercpu_time_millis: 1790, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 1650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.7963, kappa: 0.5103, kb_relative_information_score: 2763.6345, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8006, predictive_accuracy: 0.8059, prior_entropy: 0.8937, recall: 0.8059, relative_absolute_error: 0.6775, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7847, scimark_benchmark: 825.5282, usercpu_time_millis: 11830, usercpu_time_millis_testing: 2240, usercpu_time_millis_training: 9590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.7128, kappa: 0.329, kb_relative_information_score: 2336.6695, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7127, predictive_accuracy: 0.7128, prior_entropy: 0.8937, recall: 0.7128, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.5359, root_relative_squared_error: 1.1584, scimark_benchmark: 1319.9043, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.7727, kappa: 0.4571, kb_relative_information_score: 2895.8484, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7718, predictive_accuracy: 0.7797, prior_entropy: 0.8937, recall: 0.7797, relative_absolute_error: 0.6406, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8569, scimark_benchmark: 1306.6379, usercpu_time_millis: 300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.792, kappa: 0.5047, kb_relative_information_score: 2818.9197, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7912, predictive_accuracy: 0.7974, prior_entropy: 0.8937, recall: 0.7974, relative_absolute_error: 0.6702, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.8312, scimark_benchmark: 1290.1085, usercpu_time_millis: 4040, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5629, kb_relative_information_score: 1863.9028, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.4755, predictive_accuracy: 0.6896, prior_entropy: 0.8937, recall: 0.6896, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.5572, root_relative_squared_error: 1.2042, scimark_benchmark: 1292.2426, usercpu_time_millis: 122540, usercpu_time_millis_testing: 24590, usercpu_time_millis_training: 97950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.7622, kappa: 0.4281, kb_relative_information_score: 2928.897, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7639, predictive_accuracy: 0.7734, prior_entropy: 0.8937, recall: 0.7734, relative_absolute_error: 0.6166, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8567, scimark_benchmark: 1465.2979, usercpu_time_millis: 4190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6478, f_measure: 0.7211, kappa: 0.3262, kb_relative_information_score: 2864.1776, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7228, predictive_accuracy: 0.7386, prior_entropy: 0.8937, recall: 0.7386, relative_absolute_error: 0.6104, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.5112, root_relative_squared_error: 1.105, scimark_benchmark: 1465.2979, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.7586, kappa: 0.4227, kb_relative_information_score: 3438.9624, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7575, predictive_accuracy: 0.7668, prior_entropy: 0.8937, recall: 0.7668, relative_absolute_error: 0.5446, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4829, root_relative_squared_error: 1.0436, scimark_benchmark: 1353.5686, usercpu_time_millis: 3860, usercpu_time_millis_training: 3860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.5629, kb_relative_information_score: -0.2656, mean_absolute_error: 0.4281, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.4755, predictive_accuracy: 0.6896, prior_entropy: 0.8937, recall: 0.6896, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4627, root_relative_squared_error: 1, scimark_benchmark: 1330.0803, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.7579, kappa: 0.4335, kb_relative_information_score: 3074.2751, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7575, predictive_accuracy: 0.7583, prior_entropy: 0.8937, recall: 0.7583, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4712, root_relative_squared_error: 1.0185, scimark_benchmark: 1605.6303, usercpu_time_millis: 690, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.7962, kappa: 0.5115, kb_relative_information_score: 4203.4476, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7982, predictive_accuracy: 0.8042, prior_entropy: 0.8937, recall: 0.8042, relative_absolute_error: 0.4572, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.9311, scimark_benchmark: 931.2336, usercpu_time_millis: 3330, usercpu_time_millis_testing: 980, usercpu_time_millis_training: 2350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.8069, kappa: 0.5415, kb_relative_information_score: 3707.5442, mean_absolute_error: 0.2327, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.806, predictive_accuracy: 0.8108, prior_entropy: 0.8937, recall: 0.8108, relative_absolute_error: 0.5435, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.81, scimark_benchmark: 941.7954, usercpu_time_millis: 3880, usercpu_time_millis_testing: 990, usercpu_time_millis_training: 2890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.8059, kappa: 0.5394, kb_relative_information_score: 3644.7592, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8049, predictive_accuracy: 0.8097, prior_entropy: 0.8937, recall: 0.8097, relative_absolute_error: 0.5532, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.8055, scimark_benchmark: 923.7642, usercpu_time_millis: 3800, usercpu_time_millis_testing: 990, usercpu_time_millis_training: 2810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.8059, kappa: 0.5394, kb_relative_information_score: 3644.7592, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8049, predictive_accuracy: 0.8097, prior_entropy: 0.8937, recall: 0.8097, relative_absolute_error: 0.5532, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.8055, scimark_benchmark: 894.7455, usercpu_time_millis: 3860, usercpu_time_millis_testing: 1000, usercpu_time_millis_training: 2860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.7963, kappa: 0.5112, kb_relative_information_score: 4085.498, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7988, predictive_accuracy: 0.8047, prior_entropy: 0.8937, recall: 0.8047, relative_absolute_error: 0.4749, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8785, scimark_benchmark: 911.3823, usercpu_time_millis: 20540, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.7899, kappa: 0.4948, kb_relative_information_score: 4005.3283, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7939, predictive_accuracy: 0.7999, prior_entropy: 0.8937, recall: 0.7999, relative_absolute_error: 0.4846, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8887, scimark_benchmark: 943.2817, usercpu_time_millis: 9390, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 9360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.7821, kappa: 0.4764, kb_relative_information_score: 3847.794, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7848, predictive_accuracy: 0.792, prior_entropy: 0.8937, recall: 0.792, relative_absolute_error: 0.5031, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.9021, scimark_benchmark: 938.2848, usercpu_time_millis: 4490, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.7697, kappa: 0.4437, kb_relative_information_score: 3635.6035, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7776, predictive_accuracy: 0.7844, prior_entropy: 0.8937, recall: 0.7844, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.427, root_relative_squared_error: 0.9229, scimark_benchmark: 933.8635, usercpu_time_millis: 2370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7412, kappa: 0.3723, kb_relative_information_score: 3378.899, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7567, predictive_accuracy: 0.7644, prior_entropy: 0.8937, recall: 0.7644, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.9434, scimark_benchmark: 938.4285, usercpu_time_millis: 1150, usercpu_time_millis_training: 1150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.8106, kappa: 0.5498, kb_relative_information_score: 3564.8871, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8099, predictive_accuracy: 0.8147, prior_entropy: 0.8937, recall: 0.8147, relative_absolute_error: 0.5632, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7809, scimark_benchmark: 936.6206, usercpu_time_millis: 10970, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.8087, kappa: 0.5451, kb_relative_information_score: 3555.2247, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8082, predictive_accuracy: 0.8132, prior_entropy: 0.8937, recall: 0.8132, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7756, scimark_benchmark: 924.6116, usercpu_time_millis: 7850, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 7840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.8084, kappa: 0.5432, kb_relative_information_score: 3472.1485, mean_absolute_error: 0.2474, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8084, predictive_accuracy: 0.8136, prior_entropy: 0.8937, recall: 0.8136, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.7775, scimark_benchmark: 924.6116, usercpu_time_millis: 3330, usercpu_time_millis_training: 3330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.8005, kappa: 0.5241, kb_relative_information_score: 3329.7289, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8005, predictive_accuracy: 0.8063, prior_entropy: 0.8937, recall: 0.8063, relative_absolute_error: 0.596, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.783, scimark_benchmark: 947.9494, usercpu_time_millis: 1500, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.7929, kappa: 0.5045, kb_relative_information_score: 3048.0319, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7937, predictive_accuracy: 0.8002, prior_entropy: 0.8937, recall: 0.8002, relative_absolute_error: 0.6321, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.795, scimark_benchmark: 931.2336, usercpu_time_millis: 720, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 710,

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