OpenML
Supervised Classification on braziltourism

Supervised Classification on braziltourism

Task 2124 Supervised Classification braziltourism 321 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.6973, kappa: 0.1525, kb_relative_information_score: 13.1133, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6329, predictive_accuracy: 0.7778, prior_entropy: 1.1781, recall: 0.7778, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.9815, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, f_measure: 0.7466, kappa: 0.2735, kb_relative_information_score: 18.4034, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.7788, predictive_accuracy: 0.7778, prior_entropy: 1.1781, recall: 0.7778, relative_absolute_error: 0.8266, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.9631, scimark_benchmark: 1260.1387, usercpu_time_millis: 150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6748, f_measure: 0.6803, kappa: 0.1051, kb_relative_information_score: 7.3343, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6187, predictive_accuracy: 0.7556, prior_entropy: 1.1781, recall: 0.7556, relative_absolute_error: 0.9046, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2363, root_relative_squared_error: 1.0166, scimark_benchmark: 942.9708, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.6973, kappa: 0.1525, kb_relative_information_score: 13.1133, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6329, predictive_accuracy: 0.7778, prior_entropy: 1.1781, recall: 0.7778, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.9815, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.6973, kappa: 0.1525, kb_relative_information_score: 13.1133, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6329, predictive_accuracy: 0.7778, prior_entropy: 1.1781, recall: 0.7778, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.9815, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4772, f_measure: 0.3809, kappa: -0.0195, kb_relative_information_score: -96.0665, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.5757, predictive_accuracy: 0.3037, prior_entropy: 1.1781, recall: 0.3037, relative_absolute_error: 1.8031, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.446, root_relative_squared_error: 1.9188, scimark_benchmark: 1284.2094, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.6973, kappa: 0.1525, kb_relative_information_score: 13.1133, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6329, predictive_accuracy: 0.7778, prior_entropy: 1.1781, recall: 0.7778, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.9815, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.739, kappa: 0.2493, kb_relative_information_score: 17.4178, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.8075, predictive_accuracy: 0.7926, prior_entropy: 1.1781, recall: 0.7926, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.9476, scimark_benchmark: 1312.0581, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.6973, kappa: 0.1525, kb_relative_information_score: 13.1133, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6329, predictive_accuracy: 0.7778, prior_entropy: 1.1781, recall: 0.7778, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.9815, scimark_benchmark: 1354.7191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6119, f_measure: 0.6701, kappa: 0.0884, kb_relative_information_score: -4.734, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6556, predictive_accuracy: 0.6889, prior_entropy: 1.1781, recall: 0.6889, relative_absolute_error: 0.9226, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2707, root_relative_squared_error: 1.1647, scimark_benchmark: 1318.6149, usercpu_time_millis: 660, usercpu_time_millis_testing: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6056, f_measure: 0.7316, kappa: 0.2433, kb_relative_information_score: 12.095, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.7191, predictive_accuracy: 0.7778, prior_entropy: 1.1781, recall: 0.7778, relative_absolute_error: 0.9159, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.9951, scimark_benchmark: 1064.8317, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6704, kb_relative_information_score: 1.8643, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.5935, predictive_accuracy: 0.7704, prior_entropy: 1.1781, recall: 0.7704, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2325, root_relative_squared_error: 1.0002, scimark_benchmark: 1321.5205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7047, f_measure: 0.6916, kappa: 0.1726, kb_relative_information_score: 5.8396, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6877, predictive_accuracy: 0.6963, prior_entropy: 1.1781, recall: 0.6963, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2443, root_relative_squared_error: 1.0508, scimark_benchmark: 1227.9507, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6704, kb_relative_information_score: 1.8643, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.5935, predictive_accuracy: 0.7704, prior_entropy: 1.1781, recall: 0.7704, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2325, root_relative_squared_error: 1.0002, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5161, f_measure: 0.6874, kappa: 0.0509, kb_relative_information_score: 32.3287, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.7609, predictive_accuracy: 0.7778, prior_entropy: 1.1781, recall: 0.7778, relative_absolute_error: 0.5755, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.252, root_relative_squared_error: 1.084, scimark_benchmark: 916.5769, usercpu_time_millis: 160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6704, kb_relative_information_score: 1.8643, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.5935, predictive_accuracy: 0.7704, prior_entropy: 1.1781, recall: 0.7704, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2325, root_relative_squared_error: 1.0002, scimark_benchmark: 950.6776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, f_measure: 0.7101, kappa: 0.1807, kb_relative_information_score: 18.339, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.718, predictive_accuracy: 0.7778, prior_entropy: 1.1781, recall: 0.7778, relative_absolute_error: 0.863, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.9393, scimark_benchmark: 1330.8781, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7047, f_measure: 0.6916, kappa: 0.1726, kb_relative_information_score: 5.8396, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6877, predictive_accuracy: 0.6963, prior_entropy: 1.1781, recall: 0.6963, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2443, root_relative_squared_error: 1.0508, scimark_benchmark: 1365.1392, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7406, f_measure: 0.6704, kb_relative_information_score: 8.0885, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.5935, predictive_accuracy: 0.7704, prior_entropy: 1.1781, recall: 0.7704, relative_absolute_error: 0.9476, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.9662, scimark_benchmark: 939.5088, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6704, kb_relative_information_score: 1.8643, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.5935, predictive_accuracy: 0.7704, prior_entropy: 1.1781, recall: 0.7704, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2325, root_relative_squared_error: 1.0002, scimark_benchmark: 904.3681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.56, f_measure: 0.7009, kappa: 0.1626, kb_relative_information_score: 9.6929, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6341, predictive_accuracy: 0.7852, prior_entropy: 1.1781, recall: 0.7852, relative_absolute_error: 0.9407, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.9811, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6704, kb_relative_information_score: 1.8643, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.5935, predictive_accuracy: 0.7704, prior_entropy: 1.1781, recall: 0.7704, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2325, root_relative_squared_error: 1.0002, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6179, f_measure: 0.6956, kappa: 0.1903, kb_relative_information_score: 13.5165, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6897, predictive_accuracy: 0.7037, prior_entropy: 1.1781, recall: 0.7037, relative_absolute_error: 0.8031, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2875, root_relative_squared_error: 1.2367, scimark_benchmark: 1305.7231, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6179, f_measure: 0.6956, kappa: 0.1903, kb_relative_information_score: 15.8278, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6897, predictive_accuracy: 0.7037, prior_entropy: 1.1781, recall: 0.7037, relative_absolute_error: 0.7673, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.291, root_relative_squared_error: 1.2517, scimark_benchmark: 1348.8637, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5449, f_measure: 0.6881, kappa: 0.0909, kb_relative_information_score: 28.152, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6906, predictive_accuracy: 0.763, prior_entropy: 1.1781, recall: 0.763, relative_absolute_error: 0.6138, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2602, root_relative_squared_error: 1.1196, scimark_benchmark: 1346.4887, usercpu_time_millis: 3600, usercpu_time_millis_training: 3600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.6811, kappa: 0.0998, kb_relative_information_score: 7.1904, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6151, predictive_accuracy: 0.763, prior_entropy: 1.1781, recall: 0.763, relative_absolute_error: 0.9145, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.9911, scimark_benchmark: 1270.2428, usercpu_time_millis: 470, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6704, kb_relative_information_score: 8.3035, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.5935, predictive_accuracy: 0.7704, prior_entropy: 1.1781, recall: 0.7704, relative_absolute_error: 0.9461, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.9658, scimark_benchmark: 1334.4761, usercpu_time_millis: 200, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6653, f_measure: 0.7132, kappa: 0.2079, kb_relative_information_score: 22.5858, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6895, predictive_accuracy: 0.7407, prior_entropy: 1.1781, recall: 0.7407, relative_absolute_error: 0.705, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2547, root_relative_squared_error: 1.0956, scimark_benchmark: 1329.8847, usercpu_time_millis: 400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.665, f_measure: 0.7133, kappa: 0.195, kb_relative_information_score: 13.5323, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.681, predictive_accuracy: 0.7556, prior_entropy: 1.1781, recall: 0.7556, relative_absolute_error: 0.833, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.235, root_relative_squared_error: 1.0109, scimark_benchmark: 1311.1837, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.739, kappa: 0.2493, kb_relative_information_score: 17.4178, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.8075, predictive_accuracy: 0.7926, prior_entropy: 1.1781, recall: 0.7926, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.9476, scimark_benchmark: 1334.4761, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.6973, kappa: 0.1525, kb_relative_information_score: 13.1133, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6329, predictive_accuracy: 0.7778, prior_entropy: 1.1781, recall: 0.7778, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.9815, scimark_benchmark: 1176.0388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6528, f_measure: 0.7487, kappa: 0.3091, kb_relative_information_score: 18.9923, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.7413, predictive_accuracy: 0.7704, prior_entropy: 1.1781, recall: 0.7704, relative_absolute_error: 0.8241, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2447, root_relative_squared_error: 1.0525, scimark_benchmark: 912.5006, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6528, f_measure: 0.7487, kappa: 0.3091, kb_relative_information_score: 18.9923, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.7413, predictive_accuracy: 0.7704, prior_entropy: 1.1781, recall: 0.7704, relative_absolute_error: 0.8241, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2447, root_relative_squared_error: 1.0525, scimark_benchmark: 1360.2771, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6704, kb_relative_information_score: 1.8643, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.5935, predictive_accuracy: 0.7704, prior_entropy: 1.1781, recall: 0.7704, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2325, root_relative_squared_error: 1.0002, scimark_benchmark: 889.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5915, f_measure: 0.6402, kappa: 0.0368, kb_relative_information_score: -12.6754, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6096, predictive_accuracy: 0.6741, prior_entropy: 1.1781, recall: 0.6741, relative_absolute_error: 1.0543, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2663, root_relative_squared_error: 1.1455, scimark_benchmark: 922.1419, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.6704, kb_relative_information_score: -7.0067, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.5935, predictive_accuracy: 0.7704, prior_entropy: 1.1781, recall: 0.7704, relative_absolute_error: 1.056, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.9697, scimark_benchmark: 932.0242, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6094, f_measure: 0.5077, kappa: 0.0462, kb_relative_information_score: -129.6396, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6642, predictive_accuracy: 0.4148, prior_entropy: 1.1781, recall: 0.4148, relative_absolute_error: 2.0432, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3333, root_relative_squared_error: 1.434, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6704, kb_relative_information_score: -1.9687, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.5935, predictive_accuracy: 0.7704, prior_entropy: 1.1781, recall: 0.7704, relative_absolute_error: 1.0102, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2326, root_relative_squared_error: 1.0006, scimark_benchmark: 1344.7246,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5202, f_measure: 0.6421, kappa: 0.0306, kb_relative_information_score: 1.0032, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6558, predictive_accuracy: 0.6667, prior_entropy: 1.1781, recall: 0.6667, relative_absolute_error: 0.8632, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3086, root_relative_squared_error: 1.3276, scimark_benchmark: 1392.1129, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6665, build_cpu_time: 0.433, build_memory: 122247992, f_measure: 0.7026, kappa: 0.1635, kb_relative_information_score: -74.1257, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6385, predictive_accuracy: 0.7852, prior_entropy: 1.1781, recall: 0.7852, relative_absolute_error: 1.4979, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2557, root_relative_squared_error: 1.1001, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6665, build_cpu_time: 0.373, build_memory: 326385120, f_measure: 0.7026, kappa: 0.1635, kb_relative_information_score: -74.1257, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6385, predictive_accuracy: 0.7852, prior_entropy: 1.1781, recall: 0.7852, relative_absolute_error: 1.4979, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2557, root_relative_squared_error: 1.1001, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6665, build_cpu_time: 0.378, build_memory: 1304724696, f_measure: 0.7026, kappa: 0.1635, kb_relative_information_score: -74.1257, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6385, predictive_accuracy: 0.7852, prior_entropy: 1.1781, recall: 0.7852, relative_absolute_error: 1.4979, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2557, root_relative_squared_error: 1.1001, scimark_benchmark: 929.9115,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, build_cpu_time: 0.022, build_memory: 1125582832, f_measure: 0.6898, kappa: 0.126, kb_relative_information_score: -23.9499, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6304, predictive_accuracy: 0.763, prior_entropy: 1.1781, recall: 0.763, relative_absolute_error: 1.1871, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.231, root_relative_squared_error: 0.9936, scimark_benchmark: 935.1201,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, build_cpu_time: 0.014, build_memory: 299963440, f_measure: 0.6898, kappa: 0.126, kb_relative_information_score: -23.9499, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6304, predictive_accuracy: 0.763, prior_entropy: 1.1781, recall: 0.763, relative_absolute_error: 1.1871, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.231, root_relative_squared_error: 0.9936, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, build_cpu_time: 0.014, build_memory: 817286576, f_measure: 0.6898, kappa: 0.126, kb_relative_information_score: -23.9499, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6304, predictive_accuracy: 0.763, prior_entropy: 1.1781, recall: 0.763, relative_absolute_error: 1.1871, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.231, root_relative_squared_error: 0.9936, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, build_cpu_time: 0.016, build_memory: 226009696, f_measure: 0.6898, kappa: 0.126, kb_relative_information_score: -23.9499, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6304, predictive_accuracy: 0.763, prior_entropy: 1.1781, recall: 0.763, relative_absolute_error: 1.1871, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.231, root_relative_squared_error: 0.9936, scimark_benchmark: 907.3828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, build_cpu_time: 0.018, build_memory: 707875920, f_measure: 0.6898, kappa: 0.126, kb_relative_information_score: -23.9499, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6304, predictive_accuracy: 0.763, prior_entropy: 1.1781, recall: 0.763, relative_absolute_error: 1.1871, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.231, root_relative_squared_error: 0.9936, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5968, build_cpu_time: 0.391, build_memory: 431172120, f_measure: 0.7076, kappa: 0.1954, kb_relative_information_score: 22.6837, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.7051, predictive_accuracy: 0.7259, prior_entropy: 1.1781, recall: 0.7259, relative_absolute_error: 0.7097, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2798, root_relative_squared_error: 1.2038, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5937, build_cpu_time: 0.215, build_memory: 1312908664, f_measure: 0.7023, kappa: 0.1844, kb_relative_information_score: 20.5977, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6979, predictive_accuracy: 0.7185, prior_entropy: 1.1781, recall: 0.7185, relative_absolute_error: 0.7289, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2836, root_relative_squared_error: 1.2199, scimark_benchmark: 925.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5971, build_cpu_time: 0.072, build_memory: 45299000, f_measure: 0.7023, kappa: 0.1844, kb_relative_information_score: 19.8347, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6979, predictive_accuracy: 0.7185, prior_entropy: 1.1781, recall: 0.7185, relative_absolute_error: 0.7355, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2838, root_relative_squared_error: 1.2209, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6287, build_cpu_time: 0.06, build_memory: 1519587360, f_measure: 0.6972, kappa: 0.1758, kb_relative_information_score: 17.2086, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.695, predictive_accuracy: 0.7111, prior_entropy: 1.1781, recall: 0.7111, relative_absolute_error: 0.761, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.288, root_relative_squared_error: 1.2389, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.65, build_cpu_time: 0.018, build_memory: 1102198408, f_measure: 0.7221, kappa: 0.2401, kb_relative_information_score: 21.8949, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.7302, predictive_accuracy: 0.7259, prior_entropy: 1.1781, recall: 0.7259, relative_absolute_error: 0.7142, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.277, root_relative_squared_error: 1.1916, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7477, build_cpu_time: 0.136, build_memory: 1357424648, f_measure: 0.7329, kappa: 0.2402, kb_relative_information_score: 17.3696, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.7559, predictive_accuracy: 0.7556, prior_entropy: 1.1781, recall: 0.7556, relative_absolute_error: 0.8317, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.971, scimark_benchmark: 939.9709,

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