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OpenML
Task
Supervised Classification on segment

Supervised Classification on segment

Task 36 Supervised Classification segment 12978 runs submitted
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Visibility: Public
  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 under100k under1m
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12978 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9618, kappa: 0.9556, kb_relative_information_score: 2219.6265, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.962, predictive_accuracy: 0.9619, prior_entropy: 2.8074, recall: 0.9619, relative_absolute_error: 0.0547, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.2587, scimark_benchmark: 1404.1865, usercpu_time_millis: 390, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.8156, kappa: 0.7884, kb_relative_information_score: 759.7474, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8219, predictive_accuracy: 0.8186, prior_entropy: 2.8074, recall: 0.8186, relative_absolute_error: 0.8483, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3071, root_relative_squared_error: 0.8777, scimark_benchmark: 1363.434, usercpu_time_millis: 7290, usercpu_time_millis_testing: 3310, usercpu_time_millis_training: 3980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9273, kappa: 0.9157, kb_relative_information_score: 800.7904, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9277, predictive_accuracy: 0.9277, prior_entropy: 2.8074, recall: 0.9277, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.8654, scimark_benchmark: 894.7222, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9514, kappa: 0.9429, kb_relative_information_score: 2178.1441, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9521, predictive_accuracy: 0.9511, prior_entropy: 2.8074, recall: 0.9511, relative_absolute_error: 0.0855, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1005, root_relative_squared_error: 0.2872, scimark_benchmark: 939.449, usercpu_time_millis: 4280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.8239, kappa: 0.7939, kb_relative_information_score: 1869.6791, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8256, predictive_accuracy: 0.8234, prior_entropy: 2.8074, recall: 0.8234, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.642, scimark_benchmark: 1250.8301, usercpu_time_millis: 900, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9511, kappa: 0.9429, kb_relative_information_score: 2128.275, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9511, predictive_accuracy: 0.9511, prior_entropy: 2.8074, recall: 0.9511, relative_absolute_error: 0.1113, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.3166, scimark_benchmark: 1319.6463, usercpu_time_millis: 7770, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 7510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9598, kappa: 0.953, kb_relative_information_score: 2209.6327, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9603, predictive_accuracy: 0.9597, prior_entropy: 2.8074, recall: 0.9597, relative_absolute_error: 0.047, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.3065, scimark_benchmark: 1307.4861, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9585, kappa: 0.9515, kb_relative_information_score: 2187.2275, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9588, predictive_accuracy: 0.9584, prior_entropy: 2.8074, recall: 0.9584, relative_absolute_error: 0.0677, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.2969, scimark_benchmark: 1335.4072, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9589, kappa: 0.952, kb_relative_information_score: 2198.3873, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.959, predictive_accuracy: 0.9589, prior_entropy: 2.8074, recall: 0.9589, relative_absolute_error: 0.0586, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.2979, scimark_benchmark: 1066.7184, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9706, kappa: 0.9657, kb_relative_information_score: 2236.6132, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9706, predictive_accuracy: 0.9706, prior_entropy: 2.8074, recall: 0.9706, relative_absolute_error: 0.0343, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.2621, scimark_benchmark: 1442.7264, usercpu_time_millis: 210, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5972, f_measure: 0.3188, kappa: 0.1944, kb_relative_information_score: 588.6476, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8688, predictive_accuracy: 0.3095, prior_entropy: 2.8074, recall: 0.3095, relative_absolute_error: 0.8056, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4442, root_relative_squared_error: 1.2693, scimark_benchmark: 1384.4418, usercpu_time_millis: 1120, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.964, kappa: 0.9581, kb_relative_information_score: 2218.7618, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9641, predictive_accuracy: 0.9641, prior_entropy: 2.8074, recall: 0.9641, relative_absolute_error: 0.0452, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.2799, scimark_benchmark: 1466.6185, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.6307, kappa: 0.5808, kb_relative_information_score: 1414.2492, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.6262, predictive_accuracy: 0.6407, prior_entropy: 2.8074, recall: 0.6407, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.9156, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9628, kappa: 0.9566, kb_relative_information_score: 2204.5717, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.963, predictive_accuracy: 0.9628, prior_entropy: 2.8074, recall: 0.9628, relative_absolute_error: 0.0628, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.2631, scimark_benchmark: 942.1229, usercpu_time_millis: 47120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 47090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9641, kappa: 0.9581, kb_relative_information_score: 2220.4249, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9643, predictive_accuracy: 0.9641, prior_entropy: 2.8074, recall: 0.9641, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1013, root_relative_squared_error: 0.2895, scimark_benchmark: 1028.5889, usercpu_time_millis: 620, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0357, kb_relative_information_score: -0.0002, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.0204, predictive_accuracy: 0.1429, prior_entropy: 2.8074, recall: 0.1429, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3499, root_relative_squared_error: 1, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9632, kappa: 0.9571, kb_relative_information_score: 2215.3913, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 2.8074, recall: 0.9632, relative_absolute_error: 0.0479, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.2802, scimark_benchmark: 1054.3694, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.7823, kappa: 0.7707, kb_relative_information_score: 1533.3147, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8225, predictive_accuracy: 0.8035, prior_entropy: 2.8074, recall: 0.8035, relative_absolute_error: 0.4995, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.5942, scimark_benchmark: 942.6953, usercpu_time_millis: 590, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.7823, kappa: 0.7707, kb_relative_information_score: 1533.3147, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8225, predictive_accuracy: 0.8035, prior_entropy: 2.8074, recall: 0.8035, relative_absolute_error: 0.4995, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.5942, scimark_benchmark: 922.9039, usercpu_time_millis: 580, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.7823, kappa: 0.7707, kb_relative_information_score: 1533.3147, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8225, predictive_accuracy: 0.8035, prior_entropy: 2.8074, recall: 0.8035, relative_absolute_error: 0.4995, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.5942, scimark_benchmark: 939.7623, usercpu_time_millis: 580, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.7823, kappa: 0.7707, kb_relative_information_score: 1533.3147, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8225, predictive_accuracy: 0.8035, prior_entropy: 2.8074, recall: 0.8035, relative_absolute_error: 0.4995, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.5942, scimark_benchmark: 939.7623, usercpu_time_millis: 580, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.1927, kappa: 0.1667, kb_relative_information_score: 717.6941, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.1902, predictive_accuracy: 0.2857, prior_entropy: 2.8074, recall: 0.2857, relative_absolute_error: 0.8541, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.9247, scimark_benchmark: 942.1229, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.1927, kappa: 0.1667, kb_relative_information_score: 717.6941, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.1902, predictive_accuracy: 0.2857, prior_entropy: 2.8074, recall: 0.2857, relative_absolute_error: 0.8541, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.9247, scimark_benchmark: 926.6717, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.1927, kappa: 0.1667, kb_relative_information_score: 717.6941, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.1902, predictive_accuracy: 0.2857, prior_entropy: 2.8074, recall: 0.2857, relative_absolute_error: 0.8541, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.9247, scimark_benchmark: 922.9039, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.1927, kappa: 0.1667, kb_relative_information_score: 717.6941, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.1902, predictive_accuracy: 0.2857, prior_entropy: 2.8074, recall: 0.2857, relative_absolute_error: 0.8541, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.9247, scimark_benchmark: 939.7623, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.1927, kappa: 0.1667, kb_relative_information_score: 717.6941, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.1902, predictive_accuracy: 0.2857, prior_entropy: 2.8074, recall: 0.2857, relative_absolute_error: 0.8541, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.9247, scimark_benchmark: 933.8635, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9414, kappa: 0.9303, kb_relative_information_score: 2161.7021, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.948, predictive_accuracy: 0.9403, prior_entropy: 2.8074, recall: 0.9403, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.3619, scimark_benchmark: 924.6116, usercpu_time_millis: 10930, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9757, kappa: 0.9717, kb_relative_information_score: 2250.6191, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9758, predictive_accuracy: 0.9758, prior_entropy: 2.8074, recall: 0.9758, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.207, scimark_benchmark: 924.6116, usercpu_time_millis: 5470, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9745, kappa: 0.9702, kb_relative_information_score: 2238.4831, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9747, predictive_accuracy: 0.9745, prior_entropy: 2.8074, recall: 0.9745, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.2157, scimark_benchmark: 910.8389, usercpu_time_millis: 2690, usercpu_time_millis_training: 2690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9684, kappa: 0.9631, kb_relative_information_score: 2215.7355, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9688, predictive_accuracy: 0.9684, prior_entropy: 2.8074, recall: 0.9684, relative_absolute_error: 0.0607, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.2356, scimark_benchmark: 933.8635, usercpu_time_millis: 1790, usercpu_time_millis_training: 1790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9581, kappa: 0.951, kb_relative_information_score: 2178.2869, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9585, predictive_accuracy: 0.958, prior_entropy: 2.8074, recall: 0.958, relative_absolute_error: 0.0884, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.093, root_relative_squared_error: 0.2658, scimark_benchmark: 938.9865, usercpu_time_millis: 600, usercpu_time_millis_training: 600,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, build_cpu_time: 80.0545, build_memory: 406635785.6, f_measure: 0.9857, kappa: 0.9833, kb_relative_information_score: 2274.0997, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9857, predictive_accuracy: 0.9857, prior_entropy: 2.8074, recall: 0.9857, relative_absolute_error: 0.0177, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0619, root_relative_squared_error: 0.1769, scimark_benchmark: 938.1146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, build_cpu_time: 37.4845, build_memory: 729039008, f_measure: 0.9866, kappa: 0.9843, kb_relative_information_score: 2276.5441, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9868, predictive_accuracy: 0.9866, prior_entropy: 2.8074, recall: 0.9866, relative_absolute_error: 0.0157, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0617, root_relative_squared_error: 0.1763, scimark_benchmark: 939.6298,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, build_cpu_time: 1.5358, build_memory: 582966658.4, f_measure: 0.9852, kappa: 0.9828, kb_relative_information_score: 2273.3863, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9852, predictive_accuracy: 0.9853, prior_entropy: 2.8074, recall: 0.9853, relative_absolute_error: 0.0174, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.1833, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, build_cpu_time: 3.3661, build_memory: 685233854.4, f_measure: 0.9866, kappa: 0.9843, kb_relative_information_score: 2276.0794, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9866, predictive_accuracy: 0.9866, prior_entropy: 2.8074, recall: 0.9866, relative_absolute_error: 0.016, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0621, root_relative_squared_error: 0.1774, scimark_benchmark: 919.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, build_cpu_time: 6.8851, build_memory: 785872196.8, f_measure: 0.9866, kappa: 0.9843, kb_relative_information_score: 2276.3968, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9866, predictive_accuracy: 0.9866, prior_entropy: 2.8074, recall: 0.9866, relative_absolute_error: 0.0158, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0617, root_relative_squared_error: 0.1763, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, build_cpu_time: 13.2047, build_memory: 101829244, f_measure: 0.987, kappa: 0.9848, kb_relative_information_score: 2277.6221, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.987, predictive_accuracy: 0.987, prior_entropy: 2.8074, recall: 0.987, relative_absolute_error: 0.0152, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0609, root_relative_squared_error: 0.1741, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, build_cpu_time: 0.3994, build_memory: 81387433.6, f_measure: 0.9735, kappa: 0.9692, kb_relative_information_score: 2240.9843, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9736, predictive_accuracy: 0.9736, prior_entropy: 2.8074, recall: 0.9736, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0867, root_relative_squared_error: 0.2478, scimark_benchmark: 942.5053,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, build_cpu_time: 0.3575, build_memory: 129325068.8, f_measure: 0.9735, kappa: 0.9692, kb_relative_information_score: 2240.9843, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9736, predictive_accuracy: 0.9736, prior_entropy: 2.8074, recall: 0.9736, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0867, root_relative_squared_error: 0.2478, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, build_cpu_time: 0.0197, build_memory: 57940660, f_measure: 0.1927, kappa: 0.1667, kb_relative_information_score: 717.6941, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.1902, predictive_accuracy: 0.2857, prior_entropy: 2.8074, recall: 0.2857, relative_absolute_error: 0.8541, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.9247, scimark_benchmark: 939.6298,

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