OpenML
Supervised Classification on 2dplanes

Supervised Classification on 2dplanes

Task 3593 Supervised Classification 2dplanes 374 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9311, kappa: 0.8622, kb_relative_information_score: 33665.8192, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9311, predictive_accuracy: 0.9311, prior_entropy: 1, recall: 0.9311, relative_absolute_error: 0.1841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.4374, scimark_benchmark: 933.3136, usercpu_time_millis: 6810, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 6640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.931, kappa: 0.862, kb_relative_information_score: 33646.9336, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.931, predictive_accuracy: 0.931, prior_entropy: 1, recall: 0.931, relative_absolute_error: 0.1844, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.22, root_relative_squared_error: 0.4401, scimark_benchmark: 889.3151, usercpu_time_millis: 5150, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 5060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9193, kappa: 0.8387, kb_relative_information_score: 32308.3614, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9195, predictive_accuracy: 0.9193, prior_entropy: 1, recall: 0.9193, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.4724, scimark_benchmark: 1363.434, usercpu_time_millis: 1280, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.8508, kappa: 0.7017, kb_relative_information_score: 24007.4923, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8508, predictive_accuracy: 0.8508, prior_entropy: 1, recall: 0.8508, relative_absolute_error: 0.4366, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.6608, scimark_benchmark: 1304.9611, usercpu_time_millis: 19370, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 19120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.8508, kappa: 0.7016, kb_relative_information_score: 24004.5775, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8508, predictive_accuracy: 0.8508, prior_entropy: 1, recall: 0.8508, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.6608, scimark_benchmark: 908.2231, usercpu_time_millis: 10720, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 10560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8508, kappa: 0.7016, kb_relative_information_score: 23977.1514, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8508, predictive_accuracy: 0.8508, prior_entropy: 1, recall: 0.8508, relative_absolute_error: 0.4375, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6606, scimark_benchmark: 1304.9611, usercpu_time_millis: 4570, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 4490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8502, kappa: 0.7005, kb_relative_information_score: 23730.0354, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8502, predictive_accuracy: 0.8502, prior_entropy: 1, recall: 0.8502, relative_absolute_error: 0.445, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.6601, scimark_benchmark: 939.5088, usercpu_time_millis: 3660, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 3600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8515, kappa: 0.7032, kb_relative_information_score: 22536.6882, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8524, predictive_accuracy: 0.8516, prior_entropy: 1, recall: 0.8516, relative_absolute_error: 0.4793, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6714, scimark_benchmark: 825.5282, usercpu_time_millis: 2230, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9267, kappa: 0.8534, kb_relative_information_score: 31546.0801, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9268, predictive_accuracy: 0.9267, prior_entropy: 1, recall: 0.9267, relative_absolute_error: 0.2434, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.4716, scimark_benchmark: 1384.4418, usercpu_time_millis: 378720, usercpu_time_millis_testing: 378700, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9258, kappa: 0.8517, kb_relative_information_score: 31654.3252, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9259, predictive_accuracy: 0.9258, prior_entropy: 1, recall: 0.9258, relative_absolute_error: 0.2397, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.237, root_relative_squared_error: 0.4739, scimark_benchmark: 1318.1432, usercpu_time_millis: 159430, usercpu_time_millis_testing: 159420, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.8029, kappa: 0.6112, kb_relative_information_score: 24923.9287, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8239, predictive_accuracy: 0.8057, prior_entropy: 1, recall: 0.8057, relative_absolute_error: 0.3886, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8816, scimark_benchmark: 1312.3073, usercpu_time_millis: 2740, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.8628, kappa: 0.7256, kb_relative_information_score: 29579.9497, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8628, predictive_accuracy: 0.8628, prior_entropy: 1, recall: 0.8628, relative_absolute_error: 0.2744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7409, scimark_benchmark: 1325.2092, usercpu_time_millis: 2591800, usercpu_time_millis_testing: 281360, usercpu_time_millis_training: 2310440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.8355, kappa: 0.6709, kb_relative_information_score: 27351.9396, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8355, predictive_accuracy: 0.8355, prior_entropy: 1, recall: 0.8355, relative_absolute_error: 0.3291, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8113, scimark_benchmark: 1301.9956, usercpu_time_millis: 226750, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 226720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8392, kappa: 0.6783, kb_relative_information_score: 22515.2865, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8392, predictive_accuracy: 0.8392, prior_entropy: 1, recall: 0.8392, relative_absolute_error: 0.4757, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6804, scimark_benchmark: 938.343, usercpu_time_millis: 8180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 8140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.8372, kappa: 0.6744, kb_relative_information_score: 27493.9403, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8372, predictive_accuracy: 0.8372, prior_entropy: 1, recall: 0.8372, relative_absolute_error: 0.3256, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.807, scimark_benchmark: 1331.6907, usercpu_time_millis: 1870, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9306, kappa: 0.8613, kb_relative_information_score: 35111.9745, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9308, predictive_accuracy: 0.9306, prior_entropy: 1, recall: 0.9306, relative_absolute_error: 0.1387, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.5268, scimark_benchmark: 1350.9691, usercpu_time_millis: 176040, usercpu_time_millis_testing: 44130, usercpu_time_millis_training: 131910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.93, kappa: 0.8601, kb_relative_information_score: 30230.0407, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.93, predictive_accuracy: 0.93, prior_entropy: 1, recall: 0.93, relative_absolute_error: 0.2813, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.4858, scimark_benchmark: 1250.8301, usercpu_time_millis: 4910, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 4670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9201, kappa: 0.8401, kb_relative_information_score: 33312.3311, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9201, predictive_accuracy: 0.9201, prior_entropy: 1, recall: 0.9201, relative_absolute_error: 0.1886, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.242, root_relative_squared_error: 0.4841, scimark_benchmark: 1291.6995, usercpu_time_millis: 14230, usercpu_time_millis_testing: 2590, usercpu_time_millis_training: 11640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.9091, kappa: 0.8182, kb_relative_information_score: 33219.6741, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9094, predictive_accuracy: 0.9091, prior_entropy: 1, recall: 0.9091, relative_absolute_error: 0.1856, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.5758, scimark_benchmark: 1361.1055, usercpu_time_millis: 330, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.931, kappa: 0.862, kb_relative_information_score: 33644.7358, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.931, predictive_accuracy: 0.931, prior_entropy: 1, recall: 0.931, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.4442, scimark_benchmark: 1319.9043, usercpu_time_millis: 1030, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9308, kappa: 0.8617, kb_relative_information_score: 33566.6076, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9308, predictive_accuracy: 0.9308, prior_entropy: 1, recall: 0.9308, relative_absolute_error: 0.189, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.4416, scimark_benchmark: 1354.2491, usercpu_time_millis: 11960, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 11940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.8601, kappa: 0.7227, kb_relative_information_score: 29467.9491, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8754, predictive_accuracy: 0.8614, prior_entropy: 1, recall: 0.8614, relative_absolute_error: 0.2772, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.7446, scimark_benchmark: 1287.514, usercpu_time_millis: 1900, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 1630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9281, kappa: 0.8562, kb_relative_information_score: 33569.1317, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9283, predictive_accuracy: 0.9281, prior_entropy: 1, recall: 0.9281, relative_absolute_error: 0.186, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.4397, scimark_benchmark: 1358.4523, usercpu_time_millis: 4470, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 4400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.8025, kappa: 0.605, kb_relative_information_score: 24665.9275, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8025, predictive_accuracy: 0.8025, prior_entropy: 1, recall: 0.8025, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.8888, scimark_benchmark: 1351.788, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.9278, kappa: 0.8556, kb_relative_information_score: 34881.9735, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9281, predictive_accuracy: 0.9278, prior_entropy: 1, recall: 0.9278, relative_absolute_error: 0.1444, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2687, root_relative_squared_error: 0.5374, scimark_benchmark: 1353.5686, usercpu_time_millis: 4840, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 4790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3343, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.2509, predictive_accuracy: 0.5009, prior_entropy: 1, recall: 0.5009, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1358.4955, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9304, kappa: 0.8608, kb_relative_information_score: 33557.6591, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9304, predictive_accuracy: 0.9304, prior_entropy: 1, recall: 0.9304, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.4496, scimark_benchmark: 1384.4418, usercpu_time_millis: 1740, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6669, f_measure: 0.6559, kappa: 0.3117, kb_relative_information_score: 11401.5775, mean_absolute_error: 0.3653, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.6559, predictive_accuracy: 0.6559, prior_entropy: 1, recall: 0.6559, relative_absolute_error: 0.7306, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5451, root_relative_squared_error: 1.0901, scimark_benchmark: 931.2336, usercpu_time_millis: 6090, usercpu_time_millis_testing: 1810, usercpu_time_millis_training: 4280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6646, f_measure: 0.6559, kappa: 0.3118, kb_relative_information_score: 6973.7631, mean_absolute_error: 0.4269, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.6559, predictive_accuracy: 0.6559, prior_entropy: 1, recall: 0.6559, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.9664, scimark_benchmark: 932.3943, usercpu_time_millis: 3100, usercpu_time_millis_testing: 740, usercpu_time_millis_training: 2360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.6561, kappa: 0.3122, kb_relative_information_score: 5622.5594, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.6561, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9491, scimark_benchmark: 941.7954, usercpu_time_millis: 3290, usercpu_time_millis_testing: 1070, usercpu_time_millis_training: 2220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.6561, kappa: 0.3122, kb_relative_information_score: 5622.5594, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.6561, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9491, scimark_benchmark: 923.7642, usercpu_time_millis: 2850, usercpu_time_millis_testing: 740, usercpu_time_millis_training: 2110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.6561, kappa: 0.3122, kb_relative_information_score: 5622.5594, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.6561, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9491, scimark_benchmark: 894.7455, usercpu_time_millis: 3000, usercpu_time_millis_testing: 740, usercpu_time_millis_training: 2260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8503, kappa: 0.7007, kb_relative_information_score: 28024.9632, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8504, predictive_accuracy: 0.8503, prior_entropy: 1, recall: 0.8503, relative_absolute_error: 0.3158, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.7177, scimark_benchmark: 894.7455, usercpu_time_millis: 27410, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 27160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8525, kappa: 0.7049, kb_relative_information_score: 28165.7384, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8525, predictive_accuracy: 0.8525, prior_entropy: 1, recall: 0.8525, relative_absolute_error: 0.3127, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7082, scimark_benchmark: 936.6206, usercpu_time_millis: 13710, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 13560,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8466, kappa: 0.6932, kb_relative_information_score: 27266.857, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8466, predictive_accuracy: 0.8466, prior_entropy: 1, recall: 0.8466, relative_absolute_error: 0.337, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7511, scimark_benchmark: 922.9039, usercpu_time_millis: 2860, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2800,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, build_cpu_time: 117.0309, build_memory: 5047477154.8674, f_measure: 0.9326, kappa: 0.8652, kb_relative_information_score: 33602.2894, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9326, predictive_accuracy: 0.9326, prior_entropy: 1, recall: 0.9326, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4429, scimark_benchmark: 897.8783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, build_cpu_time: 41.5326, build_memory: 812277980.2904, f_measure: 0.9317, kappa: 0.8635, kb_relative_information_score: 33601.176, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9317, predictive_accuracy: 0.9317, prior_entropy: 1, recall: 0.9317, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.4438, scimark_benchmark: 943.4899,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs