Task
Supervised Classification on arrhythmia

Supervised Classification on arrhythmia

Task 1769 Supervised Classification arrhythmia 288 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.6588, kappa: 0.5128, kb_relative_information_score: 1002.9452, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.6402, predictive_accuracy: 0.6823, prior_entropy: 2.5222, recall: 0.6823, relative_absolute_error: 0.5728, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.8977, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.6446, kappa: 0.4804, kb_relative_information_score: 1000.4315, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.6315, predictive_accuracy: 0.6611, prior_entropy: 2.5222, recall: 0.6611, relative_absolute_error: 0.5955, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.8762, scimark_benchmark: 851.2074, usercpu_time_millis: 3480, usercpu_time_millis_training: 3480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.6647, kappa: 0.5228, kb_relative_information_score: 1129.7175, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.658, predictive_accuracy: 0.7018, prior_entropy: 2.5222, recall: 0.7018, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.18, root_relative_squared_error: 0.8757, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.6647, kappa: 0.5228, kb_relative_information_score: 1129.7175, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.658, predictive_accuracy: 0.7018, prior_entropy: 2.5222, recall: 0.7018, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.18, root_relative_squared_error: 0.8757, scimark_benchmark: 941.6675, usercpu_time_millis: 2810, usercpu_time_millis_testing: 2560, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.6492, kappa: 0.4882, kb_relative_information_score: 930.3303, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.6429, predictive_accuracy: 0.6942, prior_entropy: 2.5222, recall: 0.6942, relative_absolute_error: 0.6888, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.168, root_relative_squared_error: 0.8174, scimark_benchmark: 941.6675, usercpu_time_millis: 830, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.6647, kappa: 0.5228, kb_relative_information_score: 1129.7175, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.658, predictive_accuracy: 0.7018, prior_entropy: 2.5222, recall: 0.7018, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.18, root_relative_squared_error: 0.8757, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.5721, kappa: 0.3446, kb_relative_information_score: 782.9945, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.5983, predictive_accuracy: 0.6518, prior_entropy: 2.5222, recall: 0.6518, relative_absolute_error: 0.7845, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.8499, scimark_benchmark: 931.771, usercpu_time_millis: 480, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3811, kb_relative_information_score: 409.0762, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 2.5222, recall: 0.542, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2393, root_relative_squared_error: 1.1643, scimark_benchmark: 932.438, usercpu_time_millis: 2990, usercpu_time_millis_testing: 700, usercpu_time_millis_training: 2290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.662, kappa: 0.52, kb_relative_information_score: 1127.4364, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.6509, predictive_accuracy: 0.7004, prior_entropy: 2.5222, recall: 0.7004, relative_absolute_error: 0.4449, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.8796, scimark_benchmark: 932.438, usercpu_time_millis: 190, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.6647, kappa: 0.5228, kb_relative_information_score: 1129.7175, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.658, predictive_accuracy: 0.7018, prior_entropy: 2.5222, recall: 0.7018, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.18, root_relative_squared_error: 0.8757, scimark_benchmark: 941.3847, usercpu_time_millis: 2540, usercpu_time_millis_testing: 2080, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.6647, kappa: 0.5228, kb_relative_information_score: 1129.7175, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.658, predictive_accuracy: 0.7018, prior_entropy: 2.5222, recall: 0.7018, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.18, root_relative_squared_error: 0.8757, scimark_benchmark: 974.2014, usercpu_time_millis: 3080, usercpu_time_millis_testing: 2400, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.6647, kappa: 0.5228, kb_relative_information_score: 1129.7175, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.658, predictive_accuracy: 0.7018, prior_entropy: 2.5222, recall: 0.7018, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.18, root_relative_squared_error: 0.8757, scimark_benchmark: 974.2014, usercpu_time_millis: 1990, usercpu_time_millis_testing: 1810, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7449, f_measure: 0.606, kappa: 0.4194, kb_relative_information_score: 940.4866, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.5986, predictive_accuracy: 0.6407, prior_entropy: 2.5222, recall: 0.6407, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2065, root_relative_squared_error: 1.0051, scimark_benchmark: 943.1009, usercpu_time_millis: 460720, usercpu_time_millis_testing: 1050, usercpu_time_millis_training: 459670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.5721, kappa: 0.3446, kb_relative_information_score: 782.9945, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.5983, predictive_accuracy: 0.6518, prior_entropy: 2.5222, recall: 0.6518, relative_absolute_error: 0.7845, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.8499, scimark_benchmark: 943.1009, usercpu_time_millis: 520, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.6588, kappa: 0.5128, kb_relative_information_score: 1002.9452, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.6402, predictive_accuracy: 0.6823, prior_entropy: 2.5222, recall: 0.6823, relative_absolute_error: 0.5728, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.8977, scimark_benchmark: 819.5729, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.6446, kappa: 0.4804, kb_relative_information_score: 1000.4315, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.6315, predictive_accuracy: 0.6611, prior_entropy: 2.5222, recall: 0.6611, relative_absolute_error: 0.5955, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.8762, scimark_benchmark: 608.4057, usercpu_time_millis: 5920, usercpu_time_millis_training: 5920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3811, kb_relative_information_score: 409.0762, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 2.5222, recall: 0.542, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2393, root_relative_squared_error: 1.1643, scimark_benchmark: 935.5664, usercpu_time_millis: 3280, usercpu_time_millis_testing: 760, usercpu_time_millis_training: 2520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.662, kappa: 0.52, kb_relative_information_score: 1127.4364, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.6509, predictive_accuracy: 0.7004, prior_entropy: 2.5222, recall: 0.7004, relative_absolute_error: 0.4449, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.8796, scimark_benchmark: 930.404, usercpu_time_millis: 180, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.6647, kappa: 0.5228, kb_relative_information_score: 1129.7175, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.658, predictive_accuracy: 0.7018, prior_entropy: 2.5222, recall: 0.7018, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.18, root_relative_squared_error: 0.8757, scimark_benchmark: 938.1282, usercpu_time_millis: 2430, usercpu_time_millis_testing: 2030, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.6647, kappa: 0.5228, kb_relative_information_score: 1129.7175, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.658, predictive_accuracy: 0.7018, prior_entropy: 2.5222, recall: 0.7018, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.18, root_relative_squared_error: 0.8757, scimark_benchmark: 941.4991, usercpu_time_millis: 1990, usercpu_time_millis_testing: 1730, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.6492, kappa: 0.4882, kb_relative_information_score: 930.3303, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.6429, predictive_accuracy: 0.6942, prior_entropy: 2.5222, recall: 0.6942, relative_absolute_error: 0.6888, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.168, root_relative_squared_error: 0.8174, scimark_benchmark: 941.4991, usercpu_time_millis: 810, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.6647, kappa: 0.5228, kb_relative_information_score: 1129.7175, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.658, predictive_accuracy: 0.7018, prior_entropy: 2.5222, recall: 0.7018, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.18, root_relative_squared_error: 0.8757, scimark_benchmark: 944.0133, usercpu_time_millis: 2500, usercpu_time_millis_testing: 2180, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7449, f_measure: 0.606, kappa: 0.4194, kb_relative_information_score: 940.4866, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.5986, predictive_accuracy: 0.6407, prior_entropy: 2.5222, recall: 0.6407, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2065, root_relative_squared_error: 1.0051, scimark_benchmark: 932.438, usercpu_time_millis: 469840, usercpu_time_millis_testing: 1080, usercpu_time_millis_training: 468760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.5721, kappa: 0.3446, kb_relative_information_score: 782.9945, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.5983, predictive_accuracy: 0.6518, prior_entropy: 2.5222, recall: 0.6518, relative_absolute_error: 0.7845, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.8499, scimark_benchmark: 901.4991, usercpu_time_millis: 520, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.7083, kappa: 0.5918, kb_relative_information_score: 1103.8439, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.686, predictive_accuracy: 0.7478, prior_entropy: 2.5222, recall: 0.7478, relative_absolute_error: 0.6173, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.7527, scimark_benchmark: 938.988, usercpu_time_millis: 121160, usercpu_time_millis_testing: 31740, usercpu_time_millis_training: 89420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.7056, kappa: 0.5876, kb_relative_information_score: 1107.6378, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.6837, predictive_accuracy: 0.7442, prior_entropy: 2.5222, recall: 0.7442, relative_absolute_error: 0.6144, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.155, root_relative_squared_error: 0.7543, scimark_benchmark: 926.5462, usercpu_time_millis: 61050, usercpu_time_millis_testing: 14790, usercpu_time_millis_training: 46260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.7084, kappa: 0.5916, kb_relative_information_score: 1106.4457, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.6975, predictive_accuracy: 0.7469, prior_entropy: 2.5222, recall: 0.7469, relative_absolute_error: 0.6142, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.7585, scimark_benchmark: 928.7131, usercpu_time_millis: 31200, usercpu_time_millis_testing: 7920, usercpu_time_millis_training: 23280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8836, f_measure: 0.705, kappa: 0.5837, kb_relative_information_score: 1098.7552, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.6871, predictive_accuracy: 0.7407, prior_entropy: 2.5222, recall: 0.7407, relative_absolute_error: 0.6134, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.7649, scimark_benchmark: 911.2316, usercpu_time_millis: 16370, usercpu_time_millis_testing: 4060, usercpu_time_millis_training: 12310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.6979, kappa: 0.5722, kb_relative_information_score: 1085.9129, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.684, predictive_accuracy: 0.7345, prior_entropy: 2.5222, recall: 0.7345, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.7824, scimark_benchmark: 894.7131, usercpu_time_millis: 8140, usercpu_time_millis_testing: 1980, usercpu_time_millis_training: 6160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4948, f_measure: 0.3811, kb_relative_information_score: -8.4181, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 2.5222, recall: 0.542, relative_absolute_error: 1.0123, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2056, root_relative_squared_error: 1.0007, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6164, f_measure: 0.4432, kappa: 0.2033, kb_relative_information_score: -90.8118, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.3691, predictive_accuracy: 0.5597, prior_entropy: 2.5222, recall: 0.5597, relative_absolute_error: 1.2157, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2266, root_relative_squared_error: 1.1028, scimark_benchmark: 936.1714, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6164, f_measure: 0.4432, kappa: 0.2033, kb_relative_information_score: -90.8118, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.3691, predictive_accuracy: 0.5597, prior_entropy: 2.5222, recall: 0.5597, relative_absolute_error: 1.2157, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2266, root_relative_squared_error: 1.1028, scimark_benchmark: 936.1714, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6164, f_measure: 0.4432, kappa: 0.2033, kb_relative_information_score: -90.8118, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.3691, predictive_accuracy: 0.5597, prior_entropy: 2.5222, recall: 0.5597, relative_absolute_error: 1.2157, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2266, root_relative_squared_error: 1.1028, scimark_benchmark: 938.3115, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6164, f_measure: 0.4432, kappa: 0.2033, kb_relative_information_score: -90.8118, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.3691, predictive_accuracy: 0.5597, prior_entropy: 2.5222, recall: 0.5597, relative_absolute_error: 1.2157, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2266, root_relative_squared_error: 1.1028, scimark_benchmark: 935.6052, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6164, f_measure: 0.4432, kappa: 0.2033, kb_relative_information_score: -90.8118, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.3691, predictive_accuracy: 0.5597, prior_entropy: 2.5222, recall: 0.5597, relative_absolute_error: 1.2157, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2266, root_relative_squared_error: 1.1028, scimark_benchmark: 935.6052, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.6647, kappa: 0.5228, kb_relative_information_score: 1129.7175, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.658, predictive_accuracy: 0.7018, prior_entropy: 2.5222, recall: 0.7018, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.18, root_relative_squared_error: 0.8757, scimark_benchmark: 1337.9552, usercpu_time_millis: 1900, usercpu_time_millis_testing: 1690, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.6647, kappa: 0.5228, kb_relative_information_score: 1129.7175, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.658, predictive_accuracy: 0.7018, prior_entropy: 2.5222, recall: 0.7018, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.18, root_relative_squared_error: 0.8757, scimark_benchmark: 1337.9552, usercpu_time_millis: 2000, usercpu_time_millis_testing: 1770, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.6647, kappa: 0.5228, kb_relative_information_score: 1129.7175, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.658, predictive_accuracy: 0.7018, prior_entropy: 2.5222, recall: 0.7018, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.18, root_relative_squared_error: 0.8757, scimark_benchmark: 1306.9281, usercpu_time_millis: 1550, usercpu_time_millis_testing: 1380, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.5721, kappa: 0.3446, kb_relative_information_score: 782.9945, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.5983, predictive_accuracy: 0.6518, prior_entropy: 2.5222, recall: 0.6518, relative_absolute_error: 0.7845, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.8499, scimark_benchmark: 1343.3311, usercpu_time_millis: 500, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3811, kb_relative_information_score: 409.0762, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 2.5222, recall: 0.542, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2393, root_relative_squared_error: 1.1643, scimark_benchmark: 1350.7721, usercpu_time_millis: 1570, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 1180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.662, kappa: 0.52, kb_relative_information_score: 1127.4364, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.6509, predictive_accuracy: 0.7004, prior_entropy: 2.5222, recall: 0.7004, relative_absolute_error: 0.4449, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.8796, scimark_benchmark: 1337.3324, usercpu_time_millis: 180, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.6647, kappa: 0.5228, kb_relative_information_score: 1129.7175, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.658, predictive_accuracy: 0.7018, prior_entropy: 2.5222, recall: 0.7018, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.18, root_relative_squared_error: 0.8757, scimark_benchmark: 1332.7986, usercpu_time_millis: 1880, usercpu_time_millis_testing: 1720, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.6647, kappa: 0.5228, kb_relative_information_score: 1129.7175, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.658, predictive_accuracy: 0.7018, prior_entropy: 2.5222, recall: 0.7018, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.18, root_relative_squared_error: 0.8757, scimark_benchmark: 1321.8321, usercpu_time_millis: 1510, usercpu_time_millis_testing: 1340, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.6647, kappa: 0.5228, kb_relative_information_score: 1129.7175, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.658, predictive_accuracy: 0.7018, prior_entropy: 2.5222, recall: 0.7018, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.18, root_relative_squared_error: 0.8757, scimark_benchmark: 1317.6232, usercpu_time_millis: 1580, usercpu_time_millis_testing: 1440, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7449, f_measure: 0.606, kappa: 0.4194, kb_relative_information_score: 940.4866, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.5986, predictive_accuracy: 0.6407, prior_entropy: 2.5222, recall: 0.6407, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2065, root_relative_squared_error: 1.0051, scimark_benchmark: 1393.8432, usercpu_time_millis: 824060, usercpu_time_millis_testing: 3820, usercpu_time_millis_training: 820240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.6446, kappa: 0.4804, kb_relative_information_score: 1000.4315, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.6315, predictive_accuracy: 0.6611, prior_entropy: 2.5222, recall: 0.6611, relative_absolute_error: 0.5955, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.8762, scimark_benchmark: 1313.8988, usercpu_time_millis: 3850, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3811, kb_relative_information_score: 409.0762, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 2.5222, recall: 0.542, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2393, root_relative_squared_error: 1.1643, scimark_benchmark: 1323.5075, usercpu_time_millis: 2130, usercpu_time_millis_testing: 910, usercpu_time_millis_training: 1220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3811, kb_relative_information_score: 409.0762, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 2.5222, recall: 0.542, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2393, root_relative_squared_error: 1.1643, scimark_benchmark: 1306.468, usercpu_time_millis: 2500, usercpu_time_millis_testing: 1320, usercpu_time_millis_training: 1180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.6647, kappa: 0.5228, kb_relative_information_score: 1129.7175, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.658, predictive_accuracy: 0.7018, prior_entropy: 2.5222, recall: 0.7018, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.18, root_relative_squared_error: 0.8757, scimark_benchmark: 1347.6184, usercpu_time_millis: 1900, usercpu_time_millis_testing: 1720, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.6647, kappa: 0.5228, kb_relative_information_score: 1129.7175, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.658, predictive_accuracy: 0.7018, prior_entropy: 2.5222, recall: 0.7018, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.18, root_relative_squared_error: 0.8757, scimark_benchmark: 1349.8336, usercpu_time_millis: 1210, usercpu_time_millis_testing: 1070, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.6492, kappa: 0.4882, kb_relative_information_score: 930.3303, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.6429, predictive_accuracy: 0.6942, prior_entropy: 2.5222, recall: 0.6942, relative_absolute_error: 0.6888, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.168, root_relative_squared_error: 0.8174, scimark_benchmark: 1371.174, usercpu_time_millis: 960, usercpu_time_millis_training: 960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.5721, kappa: 0.3446, kb_relative_information_score: 782.9945, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.5983, predictive_accuracy: 0.6518, prior_entropy: 2.5222, recall: 0.6518, relative_absolute_error: 0.7845, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.8499, scimark_benchmark: 1296.9979, usercpu_time_millis: 640, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.6588, kappa: 0.5128, kb_relative_information_score: 1002.9452, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.6402, predictive_accuracy: 0.6823, prior_entropy: 2.5222, recall: 0.6823, relative_absolute_error: 0.5728, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.8977, scimark_benchmark: 1349.9643, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.6446, kappa: 0.4804, kb_relative_information_score: 1000.4315, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.6315, predictive_accuracy: 0.6611, prior_entropy: 2.5222, recall: 0.6611, relative_absolute_error: 0.5955, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.8762, scimark_benchmark: 1331.7953, usercpu_time_millis: 3530, usercpu_time_millis_training: 3530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7449, f_measure: 0.606, kappa: 0.4194, kb_relative_information_score: 940.4866, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.5986, predictive_accuracy: 0.6407, prior_entropy: 2.5222, recall: 0.6407, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2065, root_relative_squared_error: 1.0051, scimark_benchmark: 1362.1309, usercpu_time_millis: 838100, usercpu_time_millis_testing: 3760, usercpu_time_millis_training: 834340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3811, kb_relative_information_score: 409.0762, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 2.5222, recall: 0.542, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2393, root_relative_squared_error: 1.1643, scimark_benchmark: 1371.4836, usercpu_time_millis: 1340, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.5721, kappa: 0.3446, kb_relative_information_score: 782.9945, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.5983, predictive_accuracy: 0.6518, prior_entropy: 2.5222, recall: 0.6518, relative_absolute_error: 0.7845, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.8499, scimark_benchmark: 1360.6367, usercpu_time_millis: 500, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.6588, kappa: 0.5128, kb_relative_information_score: 1002.9452, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.6402, predictive_accuracy: 0.6823, prior_entropy: 2.5222, recall: 0.6823, relative_absolute_error: 0.5728, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.8977, scimark_benchmark: 1318.3027, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3811, kb_relative_information_score: 409.0762, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 2.5222, recall: 0.542, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2393, root_relative_squared_error: 1.1643, scimark_benchmark: 1299.9304, usercpu_time_millis: 2910, usercpu_time_millis_testing: 1640, usercpu_time_millis_training: 1270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7449, f_measure: 0.606, kappa: 0.4194, kb_relative_information_score: 940.4866, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.5986, predictive_accuracy: 0.6407, prior_entropy: 2.5222, recall: 0.6407, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2065, root_relative_squared_error: 1.0051, scimark_benchmark: 1278.6629, usercpu_time_millis: 822270, usercpu_time_millis_testing: 3780, usercpu_time_millis_training: 818490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.5721, kappa: 0.3446, kb_relative_information_score: 782.9945, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.5983, predictive_accuracy: 0.6518, prior_entropy: 2.5222, recall: 0.6518, relative_absolute_error: 0.7845, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.8499, scimark_benchmark: 1326.8946, usercpu_time_millis: 490, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.6588, kappa: 0.5128, kb_relative_information_score: 1002.9452, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.6402, predictive_accuracy: 0.6823, prior_entropy: 2.5222, recall: 0.6823, relative_absolute_error: 0.5728, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.8977, scimark_benchmark: 1384.4422, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.662, kappa: 0.52, kb_relative_information_score: 1127.4364, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.0855, number_of_instances: 2260, precision: 0.6509, predictive_accuracy: 0.7004, prior_entropy: 2.5222, recall: 0.7004, relative_absolute_error: 0.4449, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.8796, scimark_benchmark: 938.0414, usercpu_time_millis: 180, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 40,

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