OpenML
Supervised Classification on mfeat-zernike

Supervised Classification on mfeat-zernike

Task 22 Supervised Classification mfeat-zernike 20291 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.6882, kappa: 0.6583, kb_relative_information_score: 1402.9109, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6867, predictive_accuracy: 0.6925, prior_entropy: 3.3219, recall: 0.6925, relative_absolute_error: 0.3961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.6819, scimark_benchmark: 1432.2391, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.663, kappa: 0.6456, kb_relative_information_score: 1339.519, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6632, predictive_accuracy: 0.681, prior_entropy: 3.3219, recall: 0.681, relative_absolute_error: 0.4402, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.6953, scimark_benchmark: 1477.7311, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.6785, kappa: 0.6483, kb_relative_information_score: 1367.607, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.677, predictive_accuracy: 0.6835, prior_entropy: 3.3219, recall: 0.6835, relative_absolute_error: 0.4269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.6881, scimark_benchmark: 1533.713, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.8195, kappa: 0.8033, kb_relative_information_score: 572.7832, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8168, predictive_accuracy: 0.823, prior_entropy: 3.3219, recall: 0.823, relative_absolute_error: 0.8955, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.9138, scimark_benchmark: 1676.0207, usercpu_time_millis: 300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.8185, kappa: 0.7978, kb_relative_information_score: 573.6428, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8194, predictive_accuracy: 0.818, prior_entropy: 3.3219, recall: 0.818, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9128, scimark_benchmark: 1383.2655, usercpu_time_millis: 1310, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 1090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.8028, kappa: 0.7844, kb_relative_information_score: 567.0814, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8029, predictive_accuracy: 0.806, prior_entropy: 3.3219, recall: 0.806, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.9155, scimark_benchmark: 1397.9721, usercpu_time_millis: 2620, usercpu_time_millis_testing: 1510, usercpu_time_millis_training: 1110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7927, kappa: 0.7678, kb_relative_information_score: 1562.6236, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7947, predictive_accuracy: 0.791, prior_entropy: 3.3219, recall: 0.791, relative_absolute_error: 0.2325, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.6814, scimark_benchmark: 1401.5437, usercpu_time_millis: 430, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.7923, kappa: 0.7689, kb_relative_information_score: 1600.65, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7931, predictive_accuracy: 0.792, prior_entropy: 3.3219, recall: 0.792, relative_absolute_error: 0.2576, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.607, scimark_benchmark: 1540.3241, usercpu_time_millis: 1150, usercpu_time_millis_testing: 1080, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.785, kappa: 0.7611, kb_relative_information_score: 1558.9161, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7856, predictive_accuracy: 0.785, prior_entropy: 3.3219, recall: 0.785, relative_absolute_error: 0.3042, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.5953, scimark_benchmark: 1493.478, usercpu_time_millis: 1300, usercpu_time_millis_testing: 1220, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.8122, kappa: 0.7939, kb_relative_information_score: 1705.0947, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8104, predictive_accuracy: 0.8145, prior_entropy: 3.3219, recall: 0.8145, relative_absolute_error: 0.224, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.151, root_relative_squared_error: 0.5035, scimark_benchmark: 1522.443, usercpu_time_millis: 1070, usercpu_time_millis_testing: 1020, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.8103, kappa: 0.7922, kb_relative_information_score: 1665.9323, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8084, predictive_accuracy: 0.813, prior_entropy: 3.3219, recall: 0.813, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.4981, scimark_benchmark: 1599.0938, usercpu_time_millis: 1130, usercpu_time_millis_testing: 1080, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.7776, kappa: 0.7689, kb_relative_information_score: 1473.7813, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7776, predictive_accuracy: 0.792, prior_entropy: 3.3219, recall: 0.792, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.5722, scimark_benchmark: 1455.7501, usercpu_time_millis: 2680, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.7642, kappa: 0.7567, kb_relative_information_score: 1418.5681, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7645, predictive_accuracy: 0.781, prior_entropy: 3.3219, recall: 0.781, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.5962, scimark_benchmark: 1566.0504, usercpu_time_millis: 2090, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.8079, kappa: 0.8178, kb_relative_information_score: 1687.7005, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8156, predictive_accuracy: 0.836, prior_entropy: 3.3219, recall: 0.836, relative_absolute_error: 0.2347, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.15, root_relative_squared_error: 0.5001, scimark_benchmark: 1504.9023, usercpu_time_millis: 2580, usercpu_time_millis_training: 2580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.7912, kappa: 0.7661, kb_relative_information_score: 1559.4708, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7938, predictive_accuracy: 0.7895, prior_entropy: 3.3219, recall: 0.7895, relative_absolute_error: 0.2342, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.6838, scimark_benchmark: 1409.9218, usercpu_time_millis: 670, usercpu_time_millis_testing: 660, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.7945, kappa: 0.8083, kb_relative_information_score: 1672.95, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7748, predictive_accuracy: 0.8275, prior_entropy: 3.3219, recall: 0.8275, relative_absolute_error: 0.2456, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.511, scimark_benchmark: 1363.5973, usercpu_time_millis: 1590, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.7927, kappa: 0.7678, kb_relative_information_score: 1559.5498, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7947, predictive_accuracy: 0.791, prior_entropy: 3.3219, recall: 0.791, relative_absolute_error: 0.2365, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.6796, scimark_benchmark: 1452.5159, usercpu_time_millis: 480, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.6503, kappa: 0.6133, kb_relative_information_score: 1334.534, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6493, predictive_accuracy: 0.652, prior_entropy: 3.3219, recall: 0.652, relative_absolute_error: 0.4143, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.7692, scimark_benchmark: 1682.8016, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.7686, kappa: 0.745, kb_relative_information_score: 1419.3279, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7677, predictive_accuracy: 0.7705, prior_entropy: 3.3219, recall: 0.7705, relative_absolute_error: 0.4406, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.6215, scimark_benchmark: 1686.5874, usercpu_time_millis: 1410, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 1240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.7735, kappa: 0.7511, kb_relative_information_score: 1422.0736, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7716, predictive_accuracy: 0.776, prior_entropy: 3.3219, recall: 0.776, relative_absolute_error: 0.4326, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.6248, scimark_benchmark: 1834.1133, usercpu_time_millis: 1260, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 1150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.744, kappa: 0.7172, kb_relative_information_score: 1469.9668, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7441, predictive_accuracy: 0.7455, prior_entropy: 3.3219, recall: 0.7455, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.6181, scimark_benchmark: 1745.6731, usercpu_time_millis: 8720, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 8640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.751, kappa: 0.7244, kb_relative_information_score: 1463.8056, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7514, predictive_accuracy: 0.752, prior_entropy: 3.3219, recall: 0.752, relative_absolute_error: 0.3813, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.626, scimark_benchmark: 1776.2427, usercpu_time_millis: 7290, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 7240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.7552, kappa: 0.7328, kb_relative_information_score: 1401.5217, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7523, predictive_accuracy: 0.7595, prior_entropy: 3.3219, recall: 0.7595, relative_absolute_error: 0.4698, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.6129, scimark_benchmark: 1686.9275, usercpu_time_millis: 1210, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.7624, kappa: 0.74, kb_relative_information_score: 1416.1207, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7598, predictive_accuracy: 0.766, prior_entropy: 3.3219, recall: 0.766, relative_absolute_error: 0.4575, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.6087, scimark_benchmark: 1798.8105, usercpu_time_millis: 1000, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.7313, kappa: 0.7044, kb_relative_information_score: 1462.5535, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7309, predictive_accuracy: 0.734, prior_entropy: 3.3219, recall: 0.734, relative_absolute_error: 0.401, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.6087, scimark_benchmark: 1750.3468, usercpu_time_millis: 7720, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 7640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.7404, kappa: 0.7133, kb_relative_information_score: 1465.4648, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7406, predictive_accuracy: 0.742, prior_entropy: 3.3219, recall: 0.742, relative_absolute_error: 0.3934, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.6124, scimark_benchmark: 1683.4246, usercpu_time_millis: 7900, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 7810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.7141, kappa: 0.685, kb_relative_information_score: 1471.8594, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7142, predictive_accuracy: 0.7165, prior_entropy: 3.3219, recall: 0.7165, relative_absolute_error: 0.3336, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.6976, scimark_benchmark: 1670.0856, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.7067, kappa: 0.6767, kb_relative_information_score: 1464.76, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7058, predictive_accuracy: 0.709, prior_entropy: 3.3219, recall: 0.709, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.7162, scimark_benchmark: 1737.7578, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.7068, kappa: 0.6767, kb_relative_information_score: 1461.5916, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7057, predictive_accuracy: 0.709, prior_entropy: 3.3219, recall: 0.709, relative_absolute_error: 0.3305, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.7188, scimark_benchmark: 1799.2693, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.6882, kappa: 0.6678, kb_relative_information_score: 1394.7107, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6916, predictive_accuracy: 0.701, prior_entropy: 3.3219, recall: 0.701, relative_absolute_error: 0.4054, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.205, root_relative_squared_error: 0.6832, scimark_benchmark: 1739.6886, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.6909, kappa: 0.6622, kb_relative_information_score: 1399.0872, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6899, predictive_accuracy: 0.696, prior_entropy: 3.3219, recall: 0.696, relative_absolute_error: 0.4016, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.6855, scimark_benchmark: 1626.2131, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.6937, kappa: 0.6644, kb_relative_information_score: 1405.04, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6921, predictive_accuracy: 0.698, prior_entropy: 3.3219, recall: 0.698, relative_absolute_error: 0.3984, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.6832, scimark_benchmark: 1495.8812, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.6665, kappa: 0.6406, kb_relative_information_score: 1334.8497, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6669, predictive_accuracy: 0.6765, prior_entropy: 3.3219, recall: 0.6765, relative_absolute_error: 0.4455, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.701, scimark_benchmark: 1487.8946, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.6678, kappa: 0.6383, kb_relative_information_score: 1351.996, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6665, predictive_accuracy: 0.6745, prior_entropy: 3.3219, recall: 0.6745, relative_absolute_error: 0.4351, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.6972, scimark_benchmark: 1507.1387, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.6661, kappa: 0.6394, kb_relative_information_score: 1355.6848, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6642, predictive_accuracy: 0.6755, prior_entropy: 3.3219, recall: 0.6755, relative_absolute_error: 0.4333, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.6961, scimark_benchmark: 1698.6204, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.7965, kappa: 0.7783, kb_relative_information_score: 566.2181, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7963, predictive_accuracy: 0.8005, prior_entropy: 3.3219, recall: 0.8005, relative_absolute_error: 0.897, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.9158, scimark_benchmark: 1637.2643, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.7328, kappa: 0.7044, kb_relative_information_score: 1515.8336, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7326, predictive_accuracy: 0.734, prior_entropy: 3.3219, recall: 0.734, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.6758, scimark_benchmark: 1321.1896, usercpu_time_millis: 160, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.7328, kappa: 0.7044, kb_relative_information_score: 1515.8336, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7326, predictive_accuracy: 0.734, prior_entropy: 3.3219, recall: 0.734, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.6758, scimark_benchmark: 1558.537, usercpu_time_millis: 210, usercpu_time_millis_testing: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.7263, kappa: 0.6956, kb_relative_information_score: 1504.5275, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7278, predictive_accuracy: 0.726, prior_entropy: 3.3219, recall: 0.726, relative_absolute_error: 0.3056, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.6916, scimark_benchmark: 1559.6307, usercpu_time_millis: 580, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, f_measure: 0.0653, kappa: 0.1067, kb_relative_information_score: 374.2919, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0392, predictive_accuracy: 0.196, prior_entropy: 3.3219, recall: 0.196, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.9698, scimark_benchmark: 1523.6043, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.7475, kappa: 0.7217, kb_relative_information_score: 1505.7579, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7463, predictive_accuracy: 0.7495, prior_entropy: 3.3219, recall: 0.7495, relative_absolute_error: 0.2879, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.6756, scimark_benchmark: 1541.4818, usercpu_time_millis: 3810, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.7624, kappa: 0.735, kb_relative_information_score: 1485.6298, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7645, predictive_accuracy: 0.7615, prior_entropy: 3.3219, recall: 0.7615, relative_absolute_error: 0.3504, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.5973, scimark_benchmark: 1797.3791, usercpu_time_millis: 2030, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.7191, kappa: 0.6922, kb_relative_information_score: 1444.3816, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.717, predictive_accuracy: 0.723, prior_entropy: 3.3219, recall: 0.723, relative_absolute_error: 0.4117, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.622, scimark_benchmark: 1591.8675, usercpu_time_millis: 690, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.7281, kappa: 0.7028, kb_relative_information_score: 1496.5542, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7252, predictive_accuracy: 0.7325, prior_entropy: 3.3219, recall: 0.7325, relative_absolute_error: 0.3707, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.608, scimark_benchmark: 1548.6266, usercpu_time_millis: 1690, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.7619, kappa: 0.7389, kb_relative_information_score: 1478.801, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7598, predictive_accuracy: 0.765, prior_entropy: 3.3219, recall: 0.765, relative_absolute_error: 0.4003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.5877, scimark_benchmark: 1445.6054, usercpu_time_millis: 17870, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 17860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6815, f_measure: 0.0704, kappa: 0.1083, kb_relative_information_score: 376.0309, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0652, predictive_accuracy: 0.1975, prior_entropy: 3.3219, recall: 0.1975, relative_absolute_error: 0.9392, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.9687, scimark_benchmark: 1516.3663, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.7367, kappa: 0.7111, kb_relative_information_score: 1403.2938, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.735, predictive_accuracy: 0.74, prior_entropy: 3.3219, recall: 0.74, relative_absolute_error: 0.4299, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.6577, scimark_benchmark: 1504.8015, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.7271, kappa: 0.6978, kb_relative_information_score: 1532.7038, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7271, predictive_accuracy: 0.728, prior_entropy: 3.3219, recall: 0.728, relative_absolute_error: 0.3016, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.6513, scimark_benchmark: 1704.1474, usercpu_time_millis: 1880, usercpu_time_millis_testing: 1810, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.7526, kappa: 0.72, kb_relative_information_score: 1494.6799, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7591, predictive_accuracy: 0.748, prior_entropy: 3.3219, recall: 0.748, relative_absolute_error: 0.2815, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.7198, scimark_benchmark: 1540.444, usercpu_time_millis: 492100, usercpu_time_millis_testing: 492090, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.7115, kappa: 0.6828, kb_relative_information_score: 1471.8321, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7111, predictive_accuracy: 0.7145, prior_entropy: 3.3219, recall: 0.7145, relative_absolute_error: 0.3187, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.7019, scimark_benchmark: 1461.1744, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.7912, kappa: 0.7661, kb_relative_information_score: 1556.424, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7938, predictive_accuracy: 0.7895, prior_entropy: 3.3219, recall: 0.7895, relative_absolute_error: 0.2381, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.6821, scimark_benchmark: 1467.8311, usercpu_time_millis: 1680, usercpu_time_millis_testing: 840, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.8074, kappa: 0.7839, kb_relative_information_score: 1633.9029, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8094, predictive_accuracy: 0.8055, prior_entropy: 3.3219, recall: 0.8055, relative_absolute_error: 0.2196, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.5841, scimark_benchmark: 1484.645, usercpu_time_millis: 231760, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 231670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.7328, kappa: 0.7044, kb_relative_information_score: 892.4312, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7326, predictive_accuracy: 0.734, prior_entropy: 3.3219, recall: 0.734, relative_absolute_error: 0.7614, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.7898, scimark_benchmark: 1624.3934, usercpu_time_millis: 3060, usercpu_time_millis_testing: 900, usercpu_time_millis_training: 2160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, f_measure: 0.2436, kappa: 0.16, kb_relative_information_score: 418.8147, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.2465, predictive_accuracy: 0.244, prior_entropy: 3.3219, recall: 0.244, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3888, root_relative_squared_error: 1.2961, scimark_benchmark: 1641.8541, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, f_measure: 0.6337, kappa: 0.5911, kb_relative_information_score: 1230.3225, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6363, predictive_accuracy: 0.632, prior_entropy: 3.3219, recall: 0.632, relative_absolute_error: 0.4089, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.9043, scimark_benchmark: 1626.5328, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.7903, kappa: 0.765, kb_relative_information_score: 1634.0299, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7928, predictive_accuracy: 0.7885, prior_entropy: 3.3219, recall: 0.7885, relative_absolute_error: 0.2295, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.5819, scimark_benchmark: 1624.1634, usercpu_time_millis: 5860, usercpu_time_millis_testing: 5850, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.8174, kappa: 0.7994, kb_relative_information_score: 1710.1469, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8154, predictive_accuracy: 0.8195, prior_entropy: 3.3219, recall: 0.8195, relative_absolute_error: 0.2292, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.4792, scimark_benchmark: 1508.8054, usercpu_time_millis: 200600, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 200510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.8168, kappa: 0.8006, kb_relative_information_score: 570.6046, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8151, predictive_accuracy: 0.8205, prior_entropy: 3.3219, recall: 0.8205, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2744, root_relative_squared_error: 0.9145, scimark_benchmark: 1616.3173, usercpu_time_millis: 2710, usercpu_time_millis_testing: 1810, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.7912, kappa: 0.7661, kb_relative_information_score: 1559.4708, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7938, predictive_accuracy: 0.7895, prior_entropy: 3.3219, recall: 0.7895, relative_absolute_error: 0.2342, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.6838, scimark_benchmark: 1410.751, usercpu_time_millis: 590, usercpu_time_millis_testing: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.789, kappa: 0.7644, kb_relative_information_score: 1601.6693, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7907, predictive_accuracy: 0.788, prior_entropy: 3.3219, recall: 0.788, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.182, root_relative_squared_error: 0.6066, scimark_benchmark: 1553.3126, usercpu_time_millis: 920, usercpu_time_millis_testing: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.7812, kappa: 0.7778, kb_relative_information_score: 1436.6104, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7859, predictive_accuracy: 0.8, prior_entropy: 3.3219, recall: 0.8, relative_absolute_error: 0.4669, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.5836, scimark_benchmark: 1566.5029, usercpu_time_millis: 2350, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.8224, kappa: 0.8139, kb_relative_information_score: 1704.3239, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8235, predictive_accuracy: 0.8325, prior_entropy: 3.3219, recall: 0.8325, relative_absolute_error: 0.2184, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.149, root_relative_squared_error: 0.4966, scimark_benchmark: 1468.4515, usercpu_time_millis: 9000, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 8940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.8046, kappa: 0.8133, kb_relative_information_score: 1683.217, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8085, predictive_accuracy: 0.832, prior_entropy: 3.3219, recall: 0.832, relative_absolute_error: 0.2399, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.151, root_relative_squared_error: 0.5032, scimark_benchmark: 1459.0531, usercpu_time_millis: 2310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.7616, kappa: 0.7367, kb_relative_information_score: 1448.2205, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7612, predictive_accuracy: 0.763, prior_entropy: 3.3219, recall: 0.763, relative_absolute_error: 0.4181, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.6131, scimark_benchmark: 1457.265, usercpu_time_millis: 1500, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 1340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.7609, kappa: 0.7372, kb_relative_information_score: 1446.6455, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7589, predictive_accuracy: 0.7635, prior_entropy: 3.3219, recall: 0.7635, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.6184, scimark_benchmark: 1493.9901, usercpu_time_millis: 1110, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.7449, kappa: 0.7183, kb_relative_information_score: 1481.5322, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7443, predictive_accuracy: 0.7465, prior_entropy: 3.3219, recall: 0.7465, relative_absolute_error: 0.3796, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.6143, scimark_benchmark: 1522.9687, usercpu_time_millis: 5200, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 5110,

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