Task
Supervised Classification on AP_Breast_Colon

Supervised Classification on AP_Breast_Colon

Task 3979 Supervised Classification AP_Breast_Colon 188 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.9348, kappa: 0.8682, kb_relative_information_score: 547.7754, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9354, predictive_accuracy: 0.9349, prior_entropy: 0.9939, recall: 0.9349, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.4992, scimark_benchmark: 1212.8071, usercpu_time_millis: 3650, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.9396, kappa: 0.8782, kb_relative_information_score: 551.6296, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9397, predictive_accuracy: 0.9397, prior_entropy: 0.9939, recall: 0.9397, relative_absolute_error: 0.1248, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.4924, scimark_benchmark: 1062.5661, usercpu_time_millis: 21770, usercpu_time_millis_testing: 21770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.9443, kappa: 0.8874, kb_relative_information_score: 528.4123, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9455, predictive_accuracy: 0.9444, prior_entropy: 0.9939, recall: 0.9444, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.4549, scimark_benchmark: 1014.6077, usercpu_time_millis: 2790, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.957, kappa: 0.913, kb_relative_information_score: 503.8136, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.959, predictive_accuracy: 0.9571, prior_entropy: 0.9939, recall: 0.9571, relative_absolute_error: 0.2346, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.3781, scimark_benchmark: 1054.338, usercpu_time_millis: 2180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.9586, kappa: 0.9164, kb_relative_information_score: 577.338, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9597, predictive_accuracy: 0.9587, prior_entropy: 0.9939, recall: 0.9587, relative_absolute_error: 0.0832, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.408, scimark_benchmark: 822.172, usercpu_time_millis: 13780, usercpu_time_millis_testing: 4070, usercpu_time_millis_training: 9710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.9476, kappa: 0.8944, kb_relative_information_score: 556.5491, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9477, predictive_accuracy: 0.9476, prior_entropy: 0.9939, recall: 0.9476, relative_absolute_error: 0.1201, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.4458, scimark_benchmark: 977.3806, usercpu_time_millis: 14020, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 14000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.957, kappa: 0.9131, kb_relative_information_score: 575.3135, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9586, predictive_accuracy: 0.9571, prior_entropy: 0.9939, recall: 0.9571, relative_absolute_error: 0.0864, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4158, scimark_benchmark: 918.4068, usercpu_time_millis: 5800, usercpu_time_millis_testing: 4360, usercpu_time_millis_training: 1440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9603, kappa: 0.9199, kb_relative_information_score: 579.3625, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9603, predictive_accuracy: 0.9603, prior_entropy: 0.9939, recall: 0.9603, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.4001, scimark_benchmark: 757.0504, usercpu_time_millis: 9680, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 9520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9587, kappa: 0.9167, kb_relative_information_score: 576.028, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9587, predictive_accuracy: 0.9587, prior_entropy: 0.9939, recall: 0.9587, relative_absolute_error: 0.0857, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.4041, scimark_benchmark: 1351.3185, usercpu_time_millis: 384020, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 383840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.9492, kappa: 0.8975, kb_relative_information_score: 561.1506, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9492, predictive_accuracy: 0.9492, prior_entropy: 0.9939, recall: 0.9492, relative_absolute_error: 0.1114, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.4495, scimark_benchmark: 1390.9912, usercpu_time_millis: 492230, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 492210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9635, kappa: 0.9263, kb_relative_information_score: 583.4115, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9635, predictive_accuracy: 0.9635, prior_entropy: 0.9939, recall: 0.9635, relative_absolute_error: 0.0736, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.3838, scimark_benchmark: 1387.4082, usercpu_time_millis: 1890, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 1720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9508, kappa: 0.9007, kb_relative_information_score: 539.8068, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9508, predictive_accuracy: 0.9508, prior_entropy: 0.9939, recall: 0.9508, relative_absolute_error: 0.1511, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.4188, scimark_benchmark: 1240.1508, usercpu_time_millis: 66850, usercpu_time_millis_testing: 66850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.957, kappa: 0.9132, kb_relative_information_score: 529.2012, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9578, predictive_accuracy: 0.9571, prior_entropy: 0.9939, recall: 0.9571, relative_absolute_error: 0.1725, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.4149, scimark_benchmark: 1350.4799, usercpu_time_millis: 53490, usercpu_time_millis_testing: 53480, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9666, kappa: 0.9326, kb_relative_information_score: 585.9597, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.967, predictive_accuracy: 0.9667, prior_entropy: 0.9939, recall: 0.9667, relative_absolute_error: 0.0705, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.3661, scimark_benchmark: 1070.7018, usercpu_time_millis: 569070, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 568790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9682, kappa: 0.9359, kb_relative_information_score: 589.4938, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9683, predictive_accuracy: 0.9683, prior_entropy: 0.9939, recall: 0.9683, relative_absolute_error: 0.064, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3578, scimark_benchmark: 1388.4817, usercpu_time_millis: 473020, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 472950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9619, kappa: 0.923, kb_relative_information_score: 555.0135, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9621, predictive_accuracy: 0.9619, prior_entropy: 0.9939, recall: 0.9619, relative_absolute_error: 0.1341, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.3185, scimark_benchmark: 1280.6468, usercpu_time_millis: 511010, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 510980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9667, kappa: 0.9327, kb_relative_information_score: 586.4857, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9667, predictive_accuracy: 0.9667, prior_entropy: 0.9939, recall: 0.9667, relative_absolute_error: 0.0694, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.3667, scimark_benchmark: 1394.4661, usercpu_time_millis: 559880, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 559820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9619, kappa: 0.9231, kb_relative_information_score: 560.6563, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9619, predictive_accuracy: 0.9619, prior_entropy: 0.9939, recall: 0.9619, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.3763, scimark_benchmark: 1550.1248, usercpu_time_millis: 446610, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 446600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.9619, kappa: 0.923, kb_relative_information_score: 581.387, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9621, predictive_accuracy: 0.9619, prior_entropy: 0.9939, recall: 0.9619, relative_absolute_error: 0.0768, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.392, scimark_benchmark: 1490.4756, usercpu_time_millis: 463650, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 463630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9666, kappa: 0.9325, kb_relative_information_score: 582.167, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9671, predictive_accuracy: 0.9667, prior_entropy: 0.9939, recall: 0.9667, relative_absolute_error: 0.0781, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.333, scimark_benchmark: 1291.6383, usercpu_time_millis: 513580, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 513080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.965, kappa: 0.9293, kb_relative_information_score: 579.6822, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9659, predictive_accuracy: 0.9651, prior_entropy: 0.9939, recall: 0.9651, relative_absolute_error: 0.0836, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.3301, scimark_benchmark: 1391.357, usercpu_time_millis: 475920, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 475380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.949, kappa: 0.897, kb_relative_information_score: 550.2279, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9504, predictive_accuracy: 0.9492, prior_entropy: 0.9939, recall: 0.9492, relative_absolute_error: 0.1264, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.438, scimark_benchmark: 1191.4903, usercpu_time_millis: 43910, usercpu_time_millis_testing: 43910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.957, kappa: 0.9131, kb_relative_information_score: 584.7486, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9583, predictive_accuracy: 0.9571, prior_entropy: 0.9939, recall: 0.9571, relative_absolute_error: 0.0721, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.3439, scimark_benchmark: 983.5131, usercpu_time_millis: 571090, usercpu_time_millis_testing: 730, usercpu_time_millis_training: 570360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.3857, kb_relative_information_score: -1.739, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.2982, predictive_accuracy: 0.546, prior_entropy: 0.9939, recall: 0.546, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0002, scimark_benchmark: 1133.8986, usercpu_time_millis: 1094530, usercpu_time_millis_testing: 182090, usercpu_time_millis_training: 912440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9666, kappa: 0.9326, kb_relative_information_score: 586.8825, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 0.9939, recall: 0.9667, relative_absolute_error: 0.0683, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.3601, scimark_benchmark: 1337.1882, usercpu_time_millis: 226580, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 226560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.973, kappa: 0.9455, kb_relative_information_score: 595.5587, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9731, predictive_accuracy: 0.973, prior_entropy: 0.9939, recall: 0.973, relative_absolute_error: 0.0544, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.3299, scimark_benchmark: 1390.7976, usercpu_time_millis: 523450, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 523430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9571, kappa: 0.9134, kb_relative_information_score: 572.0123, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9572, predictive_accuracy: 0.9571, prior_entropy: 0.9939, recall: 0.9571, relative_absolute_error: 0.093, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.4148, scimark_benchmark: 1326.2579, usercpu_time_millis: 485080, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 485060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.973, kappa: 0.9455, kb_relative_information_score: 587.3992, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.973, predictive_accuracy: 0.973, prior_entropy: 0.9939, recall: 0.973, relative_absolute_error: 0.0725, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3193, scimark_benchmark: 1128.4049, usercpu_time_millis: 613920, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 613880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9635, kappa: 0.9262, kb_relative_information_score: 571.3386, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9636, predictive_accuracy: 0.9635, prior_entropy: 0.9939, recall: 0.9635, relative_absolute_error: 0.0999, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.3791, scimark_benchmark: 1120.9224, usercpu_time_millis: 592130, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 592080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9587, kappa: 0.9166, kb_relative_information_score: 579.2864, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9589, predictive_accuracy: 0.9587, prior_entropy: 0.9939, recall: 0.9587, relative_absolute_error: 0.0799, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.192, root_relative_squared_error: 0.3856, scimark_benchmark: 1471.4218, usercpu_time_millis: 468440, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 468420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.9333, kappa: 0.8653, kb_relative_information_score: 545.3449, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9334, predictive_accuracy: 0.9333, prior_entropy: 0.9939, recall: 0.9333, relative_absolute_error: 0.1339, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2532, root_relative_squared_error: 0.5085, scimark_benchmark: 1102.5868, usercpu_time_millis: 7030, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 6940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9555, kappa: 0.9102, kb_relative_information_score: 573.289, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9556, predictive_accuracy: 0.9556, prior_entropy: 0.9939, recall: 0.9556, relative_absolute_error: 0.0896, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.4234, scimark_benchmark: 823.6565, usercpu_time_millis: 16490, usercpu_time_millis_testing: 4340, usercpu_time_millis_training: 12150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9618, kappa: 0.9227, kb_relative_information_score: 505.3229, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9632, predictive_accuracy: 0.9619, prior_entropy: 0.9939, recall: 0.9619, relative_absolute_error: 0.2302, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.3839, scimark_benchmark: 519.7488, usercpu_time_millis: 5640, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 5530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.9443, kappa: 0.8874, kb_relative_information_score: 528.8304, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9455, predictive_accuracy: 0.9444, prior_entropy: 0.9939, recall: 0.9444, relative_absolute_error: 0.1764, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.455, scimark_benchmark: 619.4251, usercpu_time_millis: 4930, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 4850,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9666, kappa: 0.9326, kb_relative_information_score: 587.1203, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 0.9939, recall: 0.9667, relative_absolute_error: 0.068, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.3633, scimark_benchmark: 1099.346, usercpu_time_millis: 237300, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 237270,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.9586, kappa: 0.9164, kb_relative_information_score: 577.338, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9597, predictive_accuracy: 0.9587, prior_entropy: 0.9939, recall: 0.9587, relative_absolute_error: 0.0832, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.9443, kappa: 0.8874, kb_relative_information_score: 528.4123, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9455, predictive_accuracy: 0.9444, prior_entropy: 0.9939, recall: 0.9444, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.4549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9634, kappa: 0.926, kb_relative_information_score: 540.033, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9647, predictive_accuracy: 0.9635, prior_entropy: 0.9939, recall: 0.9635, relative_absolute_error: 0.164, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.3344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, f_measure: 0.3857, kb_relative_information_score: -0.041, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.2982, predictive_accuracy: 0.546, prior_entropy: 0.9939, recall: 0.546, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4979, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.9016, kappa: 0.8014, kb_relative_information_score: 504.4553, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9015, predictive_accuracy: 0.9016, prior_entropy: 0.9939, recall: 0.9016, relative_absolute_error: 0.1985, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.6301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.941, kappa: 0.8807, kb_relative_information_score: 522.4351, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9433, predictive_accuracy: 0.9413, prior_entropy: 0.9939, recall: 0.9413, relative_absolute_error: 0.1886, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.4714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.957, kappa: 0.9131, kb_relative_information_score: 575.3135, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9586, predictive_accuracy: 0.9571, prior_entropy: 0.9939, recall: 0.9571, relative_absolute_error: 0.0864, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9396, kappa: 0.8782, kb_relative_information_score: 551.913, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9397, predictive_accuracy: 0.9397, prior_entropy: 0.9939, recall: 0.9397, relative_absolute_error: 0.1241, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.4885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, f_measure: 0.3857, kb_relative_information_score: -0.041, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.2982, predictive_accuracy: 0.546, prior_entropy: 0.9939, recall: 0.546, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4979, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9634, kappa: 0.9262, kb_relative_information_score: 582.7819, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9638, predictive_accuracy: 0.9635, prior_entropy: 0.9939, recall: 0.9635, relative_absolute_error: 0.0747, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.3749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.9349, kappa: 0.8685, kb_relative_information_score: 547.2353, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9349, predictive_accuracy: 0.9349, prior_entropy: 0.9939, recall: 0.9349, relative_absolute_error: 0.1307, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2542, root_relative_squared_error: 0.5105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3857, kb_relative_information_score: 6.2877, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.2982, predictive_accuracy: 0.546, prior_entropy: 0.9939, recall: 0.546, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.9505, kappa: 0.9, kb_relative_information_score: 567.2154, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9533, predictive_accuracy: 0.9508, prior_entropy: 0.9939, recall: 0.9508, relative_absolute_error: 0.0993, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.4455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9539, kappa: 0.9069, kb_relative_information_score: 557.3923, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 0.9939, recall: 0.954, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.4274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.9409, kappa: 0.8804, kb_relative_information_score: 555.0683, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9452, predictive_accuracy: 0.9413, prior_entropy: 0.9939, recall: 0.9413, relative_absolute_error: 0.1185, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.4868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.9223, kappa: 0.8436, kb_relative_information_score: 530.7741, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.923, predictive_accuracy: 0.9222, prior_entropy: 0.9939, recall: 0.9222, relative_absolute_error: 0.1569, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.5602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.949, kappa: 0.8969, kb_relative_information_score: 564.2814, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9511, predictive_accuracy: 0.9492, prior_entropy: 0.9939, recall: 0.9492, relative_absolute_error: 0.1042, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.4537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.9396, kappa: 0.8782, kb_relative_information_score: 553.0438, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9397, predictive_accuracy: 0.9397, prior_entropy: 0.9939, recall: 0.9397, relative_absolute_error: 0.1217, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2456, root_relative_squared_error: 0.4933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3857, kb_relative_information_score: 50.9631, mean_absolute_error: 0.454, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.2982, predictive_accuracy: 0.546, prior_entropy: 0.9939, recall: 0.546, relative_absolute_error: 0.9157, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.6738, root_relative_squared_error: 1.3533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.9344, kappa: 0.8674, kb_relative_information_score: -2.3447, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9398, predictive_accuracy: 0.9349, prior_entropy: 0.9939, recall: 0.9349, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9587, kappa: 0.9167, kb_relative_information_score: 577.338, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9587, predictive_accuracy: 0.9587, prior_entropy: 0.9939, recall: 0.9587, relative_absolute_error: 0.0832, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3857, kb_relative_information_score: 50.9631, mean_absolute_error: 0.454, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.2982, predictive_accuracy: 0.546, prior_entropy: 0.9939, recall: 0.546, relative_absolute_error: 0.9157, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.6738, root_relative_squared_error: 1.3533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9588, kappa: 0.9169, kb_relative_information_score: 565.1417, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9589, predictive_accuracy: 0.9587, prior_entropy: 0.9939, recall: 0.9587, relative_absolute_error: 0.1043, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.3892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9314, kappa: 0.8614, kb_relative_information_score: 508.964, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9336, predictive_accuracy: 0.9317, prior_entropy: 0.9939, recall: 0.9317, relative_absolute_error: 0.2081, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.4561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.9458, kappa: 0.8906, kb_relative_information_score: 527.0836, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9472, predictive_accuracy: 0.946, prior_entropy: 0.9939, recall: 0.946, relative_absolute_error: 0.1818, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.4516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.9475, kappa: 0.8941, kb_relative_information_score: 542.2002, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9479, predictive_accuracy: 0.9476, prior_entropy: 0.9939, recall: 0.9476, relative_absolute_error: 0.1511, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.4451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9698, kappa: 0.9391, kb_relative_information_score: 576.6937, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9699, predictive_accuracy: 0.9698, prior_entropy: 0.9939, recall: 0.9698, relative_absolute_error: 0.0896, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9634, kappa: 0.9261, kb_relative_information_score: 552.2498, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9639, predictive_accuracy: 0.9635, prior_entropy: 0.9939, recall: 0.9635, relative_absolute_error: 0.1354, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.3548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.9392, kappa: 0.8772, kb_relative_information_score: 0.5219, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.4958, number_of_instances: 630, precision: 0.9438, predictive_accuracy: 0.9397, prior_entropy: 0.9939, recall: 0.9397, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9949,

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

OpenML APIs