Task
Supervised Classification on isolet

Supervised Classification on isolet

Task 4186 Supervised Classification isolet 105 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, build_cpu_time: 326.7239, build_memory: 499496380.3283, f_measure: 0.9119, kappa: 0.9084, kb_relative_information_score: 70492.9233, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.912, predictive_accuracy: 0.9119, prior_entropy: 4.7004, recall: 0.9119, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.3908, scimark_benchmark: 942.2089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9546, kappa: 0.9528, kb_relative_information_score: 74738.5545, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.9546, predictive_accuracy: 0.9546, prior_entropy: 4.7004, recall: 0.9546, relative_absolute_error: 0.0477, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0561, root_relative_squared_error: 0.2918, scimark_benchmark: 1325.5735, usercpu_time_millis: 3810680, usercpu_time_millis_testing: 790, usercpu_time_millis_training: 3809890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.728, kappa: 0.7172, kb_relative_information_score: 57632.4804, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.7288, predictive_accuracy: 0.7281, prior_entropy: 4.7004, recall: 0.7281, relative_absolute_error: 0.3045, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.7015, scimark_benchmark: 1342.6744, usercpu_time_millis: 4270, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 4040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9539, kappa: 0.952, kb_relative_information_score: 74915.4317, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.954, predictive_accuracy: 0.9539, prior_entropy: 4.7004, recall: 0.9539, relative_absolute_error: 0.0597, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0531, root_relative_squared_error: 0.2763, scimark_benchmark: 1336.0954, usercpu_time_millis: 386350, usercpu_time_millis_testing: 64310, usercpu_time_millis_training: 322040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.728, kappa: 0.7172, kb_relative_information_score: 57632.4804, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.7288, predictive_accuracy: 0.7281, prior_entropy: 4.7004, recall: 0.7281, relative_absolute_error: 0.3045, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.7015, scimark_benchmark: 1296.8947, usercpu_time_millis: 4950, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 4750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.728, kappa: 0.7172, kb_relative_information_score: 57632.4804, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.7288, predictive_accuracy: 0.7281, prior_entropy: 4.7004, recall: 0.7281, relative_absolute_error: 0.3045, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.7015, scimark_benchmark: 1342.8632, usercpu_time_millis: 4200, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 4010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.728, kappa: 0.7172, kb_relative_information_score: 57632.4804, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.7288, predictive_accuracy: 0.7281, prior_entropy: 4.7004, recall: 0.7281, relative_absolute_error: 0.3045, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.7015, scimark_benchmark: 936.4883, usercpu_time_millis: 6720, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 6470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.8979, kappa: 0.8939, kb_relative_information_score: 69568.1657, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.898, predictive_accuracy: 0.898, prior_entropy: 4.7004, recall: 0.898, relative_absolute_error: 0.2149, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0801, root_relative_squared_error: 0.4165, scimark_benchmark: 943.1009, usercpu_time_millis: 9280880, usercpu_time_millis_testing: 1400, usercpu_time_millis_training: 9279480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.5744, kappa: 0.582, kb_relative_information_score: 49322.0845, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.6114, predictive_accuracy: 0.5981, prior_entropy: 4.7004, recall: 0.5981, relative_absolute_error: 0.6251, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.7517, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.6922, kappa: 0.6791, kb_relative_information_score: 54347.3002, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.6932, predictive_accuracy: 0.6914, prior_entropy: 4.7004, recall: 0.6914, relative_absolute_error: 0.3297, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1478, root_relative_squared_error: 0.7684, scimark_benchmark: 942.8346, usercpu_time_millis: 101690, usercpu_time_millis_testing: 12490, usercpu_time_millis_training: 89200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.6922, kappa: 0.6791, kb_relative_information_score: 54347.3002, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.6932, predictive_accuracy: 0.6914, prior_entropy: 4.7004, recall: 0.6914, relative_absolute_error: 0.3297, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1478, root_relative_squared_error: 0.7684, scimark_benchmark: 936.3952, usercpu_time_millis: 133600, usercpu_time_millis_testing: 12760, usercpu_time_millis_training: 120840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7218, f_measure: 0.0122, kappa: 0.04, kb_relative_information_score: 14465.7257, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.009, predictive_accuracy: 0.0769, prior_entropy: 4.7004, recall: 0.0769, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.189, root_relative_squared_error: 0.983, scimark_benchmark: 941.9549, usercpu_time_millis: 1950, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0029, kb_relative_information_score: 2097.1767, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.0015, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142, scimark_benchmark: 938.3115, usercpu_time_millis: 140, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9311, kappa: 0.9285, kb_relative_information_score: 69629.554, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.9313, predictive_accuracy: 0.9312, prior_entropy: 4.7004, recall: 0.9312, relative_absolute_error: 0.243, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.3998, scimark_benchmark: 896.741, usercpu_time_millis: 715930, usercpu_time_millis_testing: 4020, usercpu_time_millis_training: 711910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7218, f_measure: 0.0122, kappa: 0.04, kb_relative_information_score: 14465.7257, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.009, predictive_accuracy: 0.0769, prior_entropy: 4.7004, recall: 0.0769, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.189, root_relative_squared_error: 0.983, scimark_benchmark: 935.6052, usercpu_time_millis: 1890, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9355, kappa: 0.933, kb_relative_information_score: 70491.265, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.9355, predictive_accuracy: 0.9356, prior_entropy: 4.7004, recall: 0.9356, relative_absolute_error: 0.2186, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.3805, scimark_benchmark: 889.4922, usercpu_time_millis: 783680, usercpu_time_millis_testing: 101220, usercpu_time_millis_training: 682460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7218, f_measure: 0.0122, kappa: 0.04, kb_relative_information_score: 14465.7257, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.009, predictive_accuracy: 0.0769, prior_entropy: 4.7004, recall: 0.0769, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.189, root_relative_squared_error: 0.983, scimark_benchmark: 938.3115, usercpu_time_millis: 1910, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9553, kappa: 0.9536, kb_relative_information_score: 70969.2605, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.9554, predictive_accuracy: 0.9554, prior_entropy: 4.7004, recall: 0.9554, relative_absolute_error: 0.2187, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0664, root_relative_squared_error: 0.3451, scimark_benchmark: 901.6243, usercpu_time_millis: 9119990, usercpu_time_millis_testing: 1550400, usercpu_time_millis_training: 7569590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.5744, kappa: 0.582, kb_relative_information_score: 49322.0845, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.6114, predictive_accuracy: 0.5981, prior_entropy: 4.7004, recall: 0.5981, relative_absolute_error: 0.6251, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.7517, scimark_benchmark: 935.2002, usercpu_time_millis: 624400, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 624360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.7715, kappa: 0.7614, kb_relative_information_score: 62000.2174, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.7728, predictive_accuracy: 0.7706, prior_entropy: 4.7004, recall: 0.7706, relative_absolute_error: 0.3175, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1123, root_relative_squared_error: 0.5841, scimark_benchmark: 929.0296, usercpu_time_millis: 70620, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 70250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7218, f_measure: 0.0122, kappa: 0.04, kb_relative_information_score: 14465.7257, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.009, predictive_accuracy: 0.0769, prior_entropy: 4.7004, recall: 0.0769, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.189, root_relative_squared_error: 0.983, scimark_benchmark: 936.1714, usercpu_time_millis: 2220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9542, kappa: 0.9524, kb_relative_information_score: 70952.7706, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.9543, predictive_accuracy: 0.9543, prior_entropy: 4.7004, recall: 0.9543, relative_absolute_error: 0.2184, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0668, root_relative_squared_error: 0.3471, scimark_benchmark: 941.7976, usercpu_time_millis: 4544240, usercpu_time_millis_testing: 898290, usercpu_time_millis_training: 3645950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.5744, kappa: 0.582, kb_relative_information_score: 49322.0845, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.6114, predictive_accuracy: 0.5981, prior_entropy: 4.7004, recall: 0.5981, relative_absolute_error: 0.6251, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.7517, scimark_benchmark: 936.0171, usercpu_time_millis: 620130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 620090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.728, kappa: 0.7172, kb_relative_information_score: 57632.4804, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.7288, predictive_accuracy: 0.7281, prior_entropy: 4.7004, recall: 0.7281, relative_absolute_error: 0.3045, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.7015, scimark_benchmark: 923.509, usercpu_time_millis: 8030, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 7770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7487, f_measure: 0.0336, kappa: 0.0489, kb_relative_information_score: 14419.1807, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.0756, predictive_accuracy: 0.0855, prior_entropy: 4.7004, recall: 0.0855, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.9824, scimark_benchmark: 931.7994, usercpu_time_millis: 2160, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7218, f_measure: 0.0122, kappa: 0.04, kb_relative_information_score: 14465.7257, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.009, predictive_accuracy: 0.0769, prior_entropy: 4.7004, recall: 0.0769, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.189, root_relative_squared_error: 0.983, scimark_benchmark: 938.3115, usercpu_time_millis: 2000, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.728, kappa: 0.7172, kb_relative_information_score: 57632.4804, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.7288, predictive_accuracy: 0.7281, prior_entropy: 4.7004, recall: 0.7281, relative_absolute_error: 0.3045, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.7015, scimark_benchmark: 1310.3168, usercpu_time_millis: 5930, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 5740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.2451, kappa: 0.2622, kb_relative_information_score: 22614.586, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.2578, predictive_accuracy: 0.2906, prior_entropy: 4.7004, recall: 0.2906, relative_absolute_error: 0.9138, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.9313, scimark_benchmark: 1342.8584, usercpu_time_millis: 58760, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 58630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.728, kappa: 0.7172, kb_relative_information_score: 57632.4804, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.7288, predictive_accuracy: 0.7281, prior_entropy: 4.7004, recall: 0.7281, relative_absolute_error: 0.3045, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.7015, scimark_benchmark: 1274.7011, usercpu_time_millis: 5270, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 5080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.5744, kappa: 0.582, kb_relative_information_score: 49322.0845, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.6114, predictive_accuracy: 0.5981, prior_entropy: 4.7004, recall: 0.5981, relative_absolute_error: 0.6251, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.7517, scimark_benchmark: 1328.1857, usercpu_time_millis: 407300, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 407260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9537, kappa: 0.9518, kb_relative_information_score: 74939.4153, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.9539, predictive_accuracy: 0.9536, prior_entropy: 4.7004, recall: 0.9536, relative_absolute_error: 0.0531, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0537, root_relative_squared_error: 0.2792, scimark_benchmark: 1319.3406, usercpu_time_millis: 2339350, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2339290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9395, kappa: 0.9371, kb_relative_information_score: 65519.4468, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.94, predictive_accuracy: 0.9395, prior_entropy: 4.7004, recall: 0.9395, relative_absolute_error: 0.3741, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.4706, scimark_benchmark: 1316.0472, usercpu_time_millis: 17050, usercpu_time_millis_testing: 760, usercpu_time_millis_training: 16290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7218, f_measure: 0.0122, kappa: 0.04, kb_relative_information_score: 14465.7257, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.009, predictive_accuracy: 0.0769, prior_entropy: 4.7004, recall: 0.0769, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.189, root_relative_squared_error: 0.983, scimark_benchmark: 1372.2145, usercpu_time_millis: 2220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7218, f_measure: 0.0122, kappa: 0.04, kb_relative_information_score: 14465.7257, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.009, predictive_accuracy: 0.0769, prior_entropy: 4.7004, recall: 0.0769, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.189, root_relative_squared_error: 0.983, scimark_benchmark: 1321.9426, usercpu_time_millis: 1700, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1680,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7218, f_measure: 0.0122, kappa: 0.04, kb_relative_information_score: 14465.7257, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.009, predictive_accuracy: 0.0769, prior_entropy: 4.7004, recall: 0.0769, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.189, root_relative_squared_error: 0.983, scimark_benchmark: 876.0664, usercpu_time_millis: 1930, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1900,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.7805, kappa: 0.7708, kb_relative_information_score: 60628.6293, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.7831, predictive_accuracy: 0.7796, prior_entropy: 4.7004, recall: 0.7796, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1222, root_relative_squared_error: 0.6354, scimark_benchmark: 896.937, usercpu_time_millis: 276660, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 276620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.4763, kappa: 0.4451, kb_relative_information_score: 29409.1489, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.5133, predictive_accuracy: 0.4665, prior_entropy: 4.7004, recall: 0.4665, relative_absolute_error: 0.8457, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.8851, scimark_benchmark: 1268.9931, usercpu_time_millis: 273140, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 272960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.9004, kappa: 0.8963, kb_relative_information_score: 70021.3108, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.9017, predictive_accuracy: 0.9002, prior_entropy: 4.7004, recall: 0.9002, relative_absolute_error: 0.1071, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.4547, scimark_benchmark: 1346.3935, usercpu_time_millis: 183280, usercpu_time_millis_testing: 183270, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.9004, kappa: 0.8963, kb_relative_information_score: 70097.5821, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.9017, predictive_accuracy: 0.9002, prior_entropy: 4.7004, recall: 0.9002, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0876, root_relative_squared_error: 0.4555, scimark_benchmark: 1296.8947, usercpu_time_millis: 604260, usercpu_time_millis_testing: 604230, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9044, kappa: 0.9005, kb_relative_information_score: 68789.8757, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.9052, predictive_accuracy: 0.9043, prior_entropy: 4.7004, recall: 0.9043, relative_absolute_error: 0.2484, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0799, root_relative_squared_error: 0.4157, scimark_benchmark: 1314.9535, usercpu_time_millis: 767180, usercpu_time_millis_testing: 680, usercpu_time_millis_training: 766500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.0029, kb_relative_information_score: 1.421, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.0015, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1, scimark_benchmark: 1340.9497, usercpu_time_millis: 210, usercpu_time_millis_testing: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.902, kappa: 0.898, kb_relative_information_score: 68713.9776, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.9027, predictive_accuracy: 0.9019, prior_entropy: 4.7004, recall: 0.9019, relative_absolute_error: 0.2481, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0808, root_relative_squared_error: 0.4199, scimark_benchmark: 1300.7817, usercpu_time_millis: 181440, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 181320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9, kappa: 0.896, kb_relative_information_score: 70497.5745, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.9004, predictive_accuracy: 0.9, prior_entropy: 4.7004, recall: 0.9, relative_absolute_error: 0.1777, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.3978, scimark_benchmark: 1329.0249, usercpu_time_millis: 244950, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 244900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.7896, kappa: 0.7851, kb_relative_information_score: 10616.6414, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.8062, predictive_accuracy: 0.7933, prior_entropy: 4.7004, recall: 0.7933, relative_absolute_error: 0.9685, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.9936, scimark_benchmark: 1340.1351, usercpu_time_millis: 8130, usercpu_time_millis_testing: 7220, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9421, kappa: 0.9397, kb_relative_information_score: 74222.3728, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.9423, predictive_accuracy: 0.942, prior_entropy: 4.7004, recall: 0.942, relative_absolute_error: 0.0749, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0585, root_relative_squared_error: 0.3044, scimark_benchmark: 1328.4045, usercpu_time_millis: 913440, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 913380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9058, kappa: 0.902, kb_relative_information_score: 68045.3974, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.9062, predictive_accuracy: 0.9057, prior_entropy: 4.7004, recall: 0.9057, relative_absolute_error: 0.2768, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.4308, scimark_benchmark: 1358.4523, usercpu_time_millis: 31550, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 31320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.728, kappa: 0.7172, kb_relative_information_score: 57632.4804, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.7288, predictive_accuracy: 0.7281, prior_entropy: 4.7004, recall: 0.7281, relative_absolute_error: 0.3045, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.7015, scimark_benchmark: 889.3151, usercpu_time_millis: 7400, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 7170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.8973, kappa: 0.893, kb_relative_information_score: 68615.6383, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.898, predictive_accuracy: 0.8972, prior_entropy: 4.7004, recall: 0.8972, relative_absolute_error: 0.248, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0818, root_relative_squared_error: 0.4254, scimark_benchmark: 1275.9462, usercpu_time_millis: 98600, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 98510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.8224, kappa: 0.8154, kb_relative_information_score: 63493.4678, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.8235, predictive_accuracy: 0.8225, prior_entropy: 4.7004, recall: 0.8225, relative_absolute_error: 0.2204, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.112, root_relative_squared_error: 0.5826, scimark_benchmark: 1316.8289, usercpu_time_millis: 139830, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 139800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.0029, kb_relative_information_score: 1.421, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.0015, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1, scimark_benchmark: 1353.5686, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.84, kappa: 0.8335, kb_relative_information_score: 65647.1507, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.8404, predictive_accuracy: 0.8399, prior_entropy: 4.7004, recall: 0.8399, relative_absolute_error: 0.1732, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.5545, scimark_benchmark: 1445.6675, usercpu_time_millis: 16260, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 16210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.8048, kappa: 0.7998, kb_relative_information_score: 62782.2196, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.8115, predictive_accuracy: 0.8075, prior_entropy: 4.7004, recall: 0.8075, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.6327, scimark_benchmark: 1301.9956, usercpu_time_millis: 350500, usercpu_time_millis_testing: 205840, usercpu_time_millis_training: 144660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, build_cpu_time: 1425.7466, build_memory: 1049726817.3708, f_measure: 0.9178, kappa: 0.9146, kb_relative_information_score: 70661.0942, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.918, predictive_accuracy: 0.9179, prior_entropy: 4.7004, recall: 0.9179, relative_absolute_error: 0.1983, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.073, root_relative_squared_error: 0.3799, scimark_benchmark: 918.6304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8358, kappa: 0.8291, kb_relative_information_score: 65343.7124, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.8361, predictive_accuracy: 0.8357, prior_entropy: 4.7004, recall: 0.8357, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1078, root_relative_squared_error: 0.5607, scimark_benchmark: 908.2231, usercpu_time_millis: 124620, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 124550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.8897, kappa: 0.8851, kb_relative_information_score: 68397.3715, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.8904, predictive_accuracy: 0.8895, prior_entropy: 4.7004, recall: 0.8895, relative_absolute_error: 0.2479, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0839, root_relative_squared_error: 0.4361, scimark_benchmark: 1369.9744, usercpu_time_millis: 53980, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 53930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9202, kappa: 0.9169, kb_relative_information_score: 68374.0009, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.9205, predictive_accuracy: 0.9201, prior_entropy: 4.7004, recall: 0.9201, relative_absolute_error: 0.2767, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.08, root_relative_squared_error: 0.4159, scimark_benchmark: 912.7324, usercpu_time_millis: 167600, usercpu_time_millis_testing: 750, usercpu_time_millis_training: 166850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9037, kappa: 0.8997, kb_relative_information_score: 68761.4667, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.9044, predictive_accuracy: 0.9036, prior_entropy: 4.7004, recall: 0.9036, relative_absolute_error: 0.2483, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0802, root_relative_squared_error: 0.4172, scimark_benchmark: 1339.3974, usercpu_time_millis: 413270, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 413030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.8636, kappa: 0.8583, kb_relative_information_score: 70890.1984, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.8724, predictive_accuracy: 0.8638, prior_entropy: 4.7004, recall: 0.8638, relative_absolute_error: 0.1787, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0837, root_relative_squared_error: 0.4355, scimark_benchmark: 930.5999, usercpu_time_millis: 306500, usercpu_time_millis_testing: 306500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9607, kappa: 0.9591, kb_relative_information_score: 75414.3922, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.9607, predictive_accuracy: 0.9607, prior_entropy: 4.7004, recall: 0.9607, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0487, root_relative_squared_error: 0.2535, scimark_benchmark: 940.0008, usercpu_time_millis: 1269180, usercpu_time_millis_testing: 3590, usercpu_time_millis_training: 1265590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.8894, kappa: 0.8855, kb_relative_information_score: 71018.105, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.8964, predictive_accuracy: 0.8899, prior_entropy: 4.7004, recall: 0.8899, relative_absolute_error: 0.1899, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.4151, scimark_benchmark: 876.0664, usercpu_time_millis: 308520, usercpu_time_millis_testing: 308520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7218, f_measure: 0.0122, kappa: 0.04, kb_relative_information_score: 14465.7257, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.009, predictive_accuracy: 0.0769, prior_entropy: 4.7004, recall: 0.0769, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.189, root_relative_squared_error: 0.983, scimark_benchmark: 1332.6319, usercpu_time_millis: 1750, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.8567, kappa: 0.8516, kb_relative_information_score: 66691.1939, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.8568, predictive_accuracy: 0.8573, prior_entropy: 4.7004, recall: 0.8573, relative_absolute_error: 0.1549, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.5371, scimark_benchmark: 1353.1316, usercpu_time_millis: 28630, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 28470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.5744, kappa: 0.582, kb_relative_information_score: 49322.0845, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.6114, predictive_accuracy: 0.5981, prior_entropy: 4.7004, recall: 0.5981, relative_absolute_error: 0.6251, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.7517, scimark_benchmark: 1373.2982, usercpu_time_millis: 430930, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 430890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.8501, kappa: 0.8454, kb_relative_information_score: 66427.5086, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.8606, predictive_accuracy: 0.8513, prior_entropy: 4.7004, recall: 0.8513, relative_absolute_error: 0.1548, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.5515, scimark_benchmark: 1340.1351, usercpu_time_millis: 40010, usercpu_time_millis_testing: 38780, usercpu_time_millis_training: 1230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.8494, kappa: 0.8446, kb_relative_information_score: 66377.1108, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.074, number_of_instances: 77970, precision: 0.8599, predictive_accuracy: 0.8506, prior_entropy: 4.7004, recall: 0.8506, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1063, root_relative_squared_error: 0.5528, scimark_benchmark: 986.8456, usercpu_time_millis: 40250, usercpu_time_millis_testing: 39270, usercpu_time_millis_training: 980,

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