OpenML
Supervised Classification on kdd_internet_usage

Supervised Classification on kdd_internet_usage

Task 4549 Supervised Classification kdd_internet_usage 209 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.873, kappa: 0.681, kb_relative_information_score: 61213.7021, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8754, predictive_accuracy: 0.8715, prior_entropy: 0.8395, recall: 0.8715, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.7137, scimark_benchmark: 1363.1824, usercpu_time_millis: 71250, usercpu_time_millis_testing: 61370, usercpu_time_millis_training: 9880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8744, kappa: 0.6698, kb_relative_information_score: 42958.6719, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8784, predictive_accuracy: 0.8799, prior_entropy: 0.8395, recall: 0.8799, relative_absolute_error: 0.6081, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.7024, scimark_benchmark: 1339.2472, usercpu_time_millis: 2630, usercpu_time_millis_testing: 620, usercpu_time_millis_training: 2010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.873, kappa: 0.681, kb_relative_information_score: 61213.7021, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8754, predictive_accuracy: 0.8715, prior_entropy: 0.8395, recall: 0.8715, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.7137, scimark_benchmark: 1373.7859, usercpu_time_millis: 69410, usercpu_time_millis_testing: 60270, usercpu_time_millis_training: 9140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8686, kappa: 0.6722, kb_relative_information_score: 60179.6323, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8729, predictive_accuracy: 0.8663, prior_entropy: 0.8395, recall: 0.8663, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.7296, scimark_benchmark: 1354.3488, usercpu_time_millis: 700, usercpu_time_millis_testing: 600, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8744, kappa: 0.6698, kb_relative_information_score: 42958.6719, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8784, predictive_accuracy: 0.8799, prior_entropy: 0.8395, recall: 0.8799, relative_absolute_error: 0.6081, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.7024, scimark_benchmark: 1347.993, usercpu_time_millis: 3640, usercpu_time_millis_testing: 730, usercpu_time_millis_training: 2910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8777, kappa: 0.6876, kb_relative_information_score: 64640.1502, mean_absolute_error: 0.1313, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8773, predictive_accuracy: 0.8782, prior_entropy: 0.8395, recall: 0.8782, relative_absolute_error: 0.3341, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.7223, scimark_benchmark: 1348.7888, usercpu_time_millis: 120980, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 120600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, f_measure: 0.8868, kappa: 0.7099, kb_relative_information_score: 69319.3432, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8863, predictive_accuracy: 0.8877, prior_entropy: 0.8395, recall: 0.8877, relative_absolute_error: 0.2859, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.7562, scimark_benchmark: 1315.933, usercpu_time_millis: 79760, usercpu_time_millis_testing: 19760, usercpu_time_millis_training: 60000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8686, kappa: 0.6722, kb_relative_information_score: 60179.6323, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8729, predictive_accuracy: 0.8663, prior_entropy: 0.8395, recall: 0.8663, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.7296, scimark_benchmark: 932.5646, usercpu_time_millis: 900, usercpu_time_millis_testing: 750, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8686, kappa: 0.6722, kb_relative_information_score: 60179.6323, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8729, predictive_accuracy: 0.8663, prior_entropy: 0.8395, recall: 0.8663, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.7296, scimark_benchmark: 1335.5424, usercpu_time_millis: 590, usercpu_time_millis_testing: 480, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8686, kappa: 0.6722, kb_relative_information_score: 60179.6323, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8729, predictive_accuracy: 0.8663, prior_entropy: 0.8395, recall: 0.8663, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.7296, scimark_benchmark: 1341.5795, usercpu_time_millis: 580, usercpu_time_millis_testing: 480, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8951, kappa: 0.7288, kb_relative_information_score: 64191.6517, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.895, predictive_accuracy: 0.8969, prior_entropy: 0.8395, recall: 0.8969, relative_absolute_error: 0.3638, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2868, root_relative_squared_error: 0.6471, scimark_benchmark: 1280.6338, usercpu_time_millis: 1210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8578, kappa: 0.649, kb_relative_information_score: 57631.403, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8656, predictive_accuracy: 0.8542, prior_entropy: 0.8395, recall: 0.8542, relative_absolute_error: 0.3961, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.7789, scimark_benchmark: 1347.917, usercpu_time_millis: 120, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8686, kappa: 0.6722, kb_relative_information_score: 60179.6323, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8729, predictive_accuracy: 0.8663, prior_entropy: 0.8395, recall: 0.8663, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.7296, scimark_benchmark: 1345.7204, usercpu_time_millis: 650, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.896, kappa: 0.7353, kb_relative_information_score: 51038.7024, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.8395, recall: 0.896, relative_absolute_error: 0.4941, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.6376, scimark_benchmark: 1327.2926, usercpu_time_millis: 740, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8686, kappa: 0.6722, kb_relative_information_score: 60179.6323, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8729, predictive_accuracy: 0.8663, prior_entropy: 0.8395, recall: 0.8663, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.7296, scimark_benchmark: 1354.3488, usercpu_time_millis: 700, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8686, kappa: 0.6722, kb_relative_information_score: 60179.6323, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8729, predictive_accuracy: 0.8663, prior_entropy: 0.8395, recall: 0.8663, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.7296, scimark_benchmark: 1322.7383, usercpu_time_millis: 600, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8686, kappa: 0.6722, kb_relative_information_score: 60179.6323, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8729, predictive_accuracy: 0.8663, prior_entropy: 0.8395, recall: 0.8663, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.7296, scimark_benchmark: 933.1165, usercpu_time_millis: 840, usercpu_time_millis_testing: 700, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8925, kappa: 0.7247, kb_relative_information_score: 60199.8031, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8921, predictive_accuracy: 0.8933, prior_entropy: 0.8395, recall: 0.8933, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.6344, scimark_benchmark: 1352.2099, usercpu_time_millis: 25460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 25450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7508, f_measure: 0.8134, kappa: 0.5179, kb_relative_information_score: 49219.0915, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8116, predictive_accuracy: 0.8166, prior_entropy: 0.8395, recall: 0.8166, relative_absolute_error: 0.4669, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.9663, scimark_benchmark: 1341.2341, usercpu_time_millis: 105760, usercpu_time_millis_testing: 105760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.896, kappa: 0.7353, kb_relative_information_score: 51038.7024, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.8395, recall: 0.896, relative_absolute_error: 0.4941, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.6376, scimark_benchmark: 1314.7093, usercpu_time_millis: 760, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8925, kappa: 0.7247, kb_relative_information_score: 60199.8031, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8921, predictive_accuracy: 0.8933, prior_entropy: 0.8395, recall: 0.8933, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.6344, scimark_benchmark: 1327.2954, usercpu_time_millis: 28040, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 28030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8937, kappa: 0.7249, kb_relative_information_score: 63938.0542, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8936, predictive_accuracy: 0.8956, prior_entropy: 0.8395, recall: 0.8956, relative_absolute_error: 0.3657, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.6469, scimark_benchmark: 944.0517, usercpu_time_millis: 280, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.8215, kappa: 0.5329, kb_relative_information_score: 49249.3315, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8207, predictive_accuracy: 0.8277, prior_entropy: 0.8395, recall: 0.8277, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.883, scimark_benchmark: 1339.9935, usercpu_time_millis: 30450, usercpu_time_millis_testing: 30450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.8859, kappa: 0.7062, kb_relative_information_score: 66488.6424, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8854, predictive_accuracy: 0.8874, prior_entropy: 0.8395, recall: 0.8874, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.6728, scimark_benchmark: 1368.9272, usercpu_time_millis: 35198940, usercpu_time_millis_testing: 35198900, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.8848, kappa: 0.6996, kb_relative_information_score: 45816.5621, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8859, predictive_accuracy: 0.8881, prior_entropy: 0.8395, recall: 0.8881, relative_absolute_error: 0.5812, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.6822, scimark_benchmark: 894.7222, usercpu_time_millis: 18190, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 17650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.8825, kappa: 0.6935, kb_relative_information_score: 45478.7907, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8839, predictive_accuracy: 0.8862, prior_entropy: 0.8395, recall: 0.8862, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.6851, scimark_benchmark: 1345.7582, usercpu_time_millis: 8530, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 8260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.8933, kappa: 0.726, kb_relative_information_score: 60592.0447, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8928, predictive_accuracy: 0.8944, prior_entropy: 0.8395, recall: 0.8944, relative_absolute_error: 0.398, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.63, scimark_benchmark: 1358.4523, usercpu_time_millis: 136880, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 136740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8879, kappa: 0.7093, kb_relative_information_score: 68540.679, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.888, predictive_accuracy: 0.8903, prior_entropy: 0.8395, recall: 0.8903, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.7076, scimark_benchmark: 939.9176, usercpu_time_millis: 49780, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 49640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.886, kappa: 0.7033, kb_relative_information_score: 46140.8185, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8868, predictive_accuracy: 0.889, prior_entropy: 0.8395, recall: 0.889, relative_absolute_error: 0.578, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.68, scimark_benchmark: 1337.8643, usercpu_time_millis: 36800, usercpu_time_millis_testing: 1180, usercpu_time_millis_training: 35620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.8798, kappa: 0.6905, kb_relative_information_score: 56818.0267, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8791, predictive_accuracy: 0.8813, prior_entropy: 0.8395, recall: 0.8813, relative_absolute_error: 0.4328, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.6832, scimark_benchmark: 1064.8317, usercpu_time_millis: 31470, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 31310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.873, kappa: 0.681, kb_relative_information_score: 61213.7021, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8754, predictive_accuracy: 0.8715, prior_entropy: 0.8395, recall: 0.8715, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.7137, scimark_benchmark: 1320.9366, usercpu_time_millis: 70360, usercpu_time_millis_testing: 60710, usercpu_time_millis_training: 9650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8937, kappa: 0.7249, kb_relative_information_score: 63938.0542, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8936, predictive_accuracy: 0.8956, prior_entropy: 0.8395, recall: 0.8956, relative_absolute_error: 0.3657, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.6469, scimark_benchmark: 1347.388, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8925, kappa: 0.7247, kb_relative_information_score: 60199.8031, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8921, predictive_accuracy: 0.8933, prior_entropy: 0.8395, recall: 0.8933, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.6344, scimark_benchmark: 1314.9535, usercpu_time_millis: 25570, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 25560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.8941, kappa: 0.7281, kb_relative_information_score: 61095.246, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8936, predictive_accuracy: 0.895, prior_entropy: 0.8395, recall: 0.895, relative_absolute_error: 0.3921, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.6281, scimark_benchmark: 1322.4968, usercpu_time_millis: 1510, usercpu_time_millis_training: 1510,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.8909, kappa: 0.7201, kb_relative_information_score: 70485.4263, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8904, predictive_accuracy: 0.8918, prior_entropy: 0.8395, recall: 0.8918, relative_absolute_error: 0.2754, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.329, root_relative_squared_error: 0.7422, scimark_benchmark: 1316.7714, usercpu_time_millis: 1230, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1160,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8882, kappa: 0.7129, kb_relative_information_score: 58404.1377, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8877, predictive_accuracy: 0.8894, prior_entropy: 0.8395, recall: 0.8894, relative_absolute_error: 0.4237, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.6438, scimark_benchmark: 1335.4072, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8789, kappa: 0.6885, kb_relative_information_score: 56767.4969, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8783, predictive_accuracy: 0.8804, prior_entropy: 0.8395, recall: 0.8804, relative_absolute_error: 0.4328, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.6844, scimark_benchmark: 1339.3974, usercpu_time_millis: 15920, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 15860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8779, kappa: 0.6859, kb_relative_information_score: 56746.1701, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8772, predictive_accuracy: 0.8793, prior_entropy: 0.8395, recall: 0.8793, relative_absolute_error: 0.4325, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.304, root_relative_squared_error: 0.686, scimark_benchmark: 938.0414, usercpu_time_millis: 9060, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 9020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.8681, kappa: 0.6626, kb_relative_information_score: 51614.6133, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8676, predictive_accuracy: 0.8689, prior_entropy: 0.8395, recall: 0.8689, relative_absolute_error: 0.4924, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.7068, scimark_benchmark: 937.1527, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.8878, kappa: 0.7132, kb_relative_information_score: 58786.1539, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8874, predictive_accuracy: 0.8883, prior_entropy: 0.8395, recall: 0.8883, relative_absolute_error: 0.4142, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.6428, scimark_benchmark: 1304.9611, usercpu_time_millis: 3710, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 3660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.8869, kappa: 0.7107, kb_relative_information_score: 58147.5317, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8865, predictive_accuracy: 0.8874, prior_entropy: 0.8395, recall: 0.8874, relative_absolute_error: 0.4215, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2862, root_relative_squared_error: 0.6458, scimark_benchmark: 942.6843, usercpu_time_millis: 2370, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.8857, kappa: 0.7076, kb_relative_information_score: 57543.5664, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8853, predictive_accuracy: 0.8863, prior_entropy: 0.8395, recall: 0.8863, relative_absolute_error: 0.4282, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.289, root_relative_squared_error: 0.6521, scimark_benchmark: 876.0664, usercpu_time_millis: 1220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.8864, kappa: 0.7087, kb_relative_information_score: 69252.2305, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8859, predictive_accuracy: 0.8874, prior_entropy: 0.8395, recall: 0.8874, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.757, scimark_benchmark: 912.5006, usercpu_time_millis: 653700, usercpu_time_millis_testing: 118150, usercpu_time_millis_training: 535550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.8846, kappa: 0.7055, kb_relative_information_score: 56451.2493, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8843, predictive_accuracy: 0.8849, prior_entropy: 0.8395, recall: 0.8849, relative_absolute_error: 0.4406, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.66, scimark_benchmark: 929.0363, usercpu_time_millis: 670, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.881, kappa: 0.6957, kb_relative_information_score: 54176.7082, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8806, predictive_accuracy: 0.8816, prior_entropy: 0.8395, recall: 0.8816, relative_absolute_error: 0.4639, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.6707, scimark_benchmark: 1335.643, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.7983, kappa: 0.457, kb_relative_information_score: 44481.971, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8276, predictive_accuracy: 0.8221, prior_entropy: 0.8395, recall: 0.8221, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7933, scimark_benchmark: 934.1747, usercpu_time_millis: 1495450, usercpu_time_millis_testing: 419070, usercpu_time_millis_training: 1076380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8488, kappa: 0.6004, kb_relative_information_score: 48082.7196, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8541, predictive_accuracy: 0.857, prior_entropy: 0.8395, recall: 0.857, relative_absolute_error: 0.5215, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.7259, scimark_benchmark: 883.2709, usercpu_time_millis: 73080, usercpu_time_millis_testing: 73080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.8427, kappa: 0.585, kb_relative_information_score: 48094.9231, mean_absolute_error: 0.1994, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8465, predictive_accuracy: 0.8508, prior_entropy: 0.8395, recall: 0.8508, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.7523, scimark_benchmark: 942.9518, usercpu_time_millis: 97750, usercpu_time_millis_testing: 97740, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.8139, kappa: 0.5183, kb_relative_information_score: 49487.5423, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8121, predictive_accuracy: 0.8175, prior_entropy: 0.8395, recall: 0.8175, relative_absolute_error: 0.4645, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.9638, scimark_benchmark: 940.3347, usercpu_time_millis: 230, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.8952, kappa: 0.731, kb_relative_information_score: 71735.4002, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8948, predictive_accuracy: 0.8962, prior_entropy: 0.8395, recall: 0.8962, relative_absolute_error: 0.2641, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.7269, scimark_benchmark: 825.5282, usercpu_time_millis: 707270, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 707120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, f_measure: 0.8213, kappa: 0.5929, kb_relative_information_score: 47770.5759, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8682, predictive_accuracy: 0.8114, prior_entropy: 0.8395, recall: 0.8114, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.9797, scimark_benchmark: 854.5188, usercpu_time_millis: 23750, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 23630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.8933, kappa: 0.726, kb_relative_information_score: 60592.0447, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8928, predictive_accuracy: 0.8944, prior_entropy: 0.8395, recall: 0.8944, relative_absolute_error: 0.398, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.63, scimark_benchmark: 932.5646, usercpu_time_millis: 62900, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 62640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.8909, kappa: 0.7201, kb_relative_information_score: 70488.2226, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8904, predictive_accuracy: 0.8918, prior_entropy: 0.8395, recall: 0.8918, relative_absolute_error: 0.2754, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.7421, scimark_benchmark: 942.6843, usercpu_time_millis: 1590, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 1480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8686, kappa: 0.6722, kb_relative_information_score: 60179.6323, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8729, predictive_accuracy: 0.8663, prior_entropy: 0.8395, recall: 0.8663, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.7296, scimark_benchmark: 1028.5889, usercpu_time_millis: 630, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8744, kappa: 0.6698, kb_relative_information_score: 42958.6719, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8784, predictive_accuracy: 0.8799, prior_entropy: 0.8395, recall: 0.8799, relative_absolute_error: 0.6081, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.7024, scimark_benchmark: 1341.5768, usercpu_time_millis: 4400, usercpu_time_millis_testing: 1030, usercpu_time_millis_training: 3370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.7872, kappa: 0.4506, kb_relative_information_score: 38189.2802, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.785, predictive_accuracy: 0.7907, prior_entropy: 0.8395, recall: 0.7907, relative_absolute_error: 0.5732, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.9833, scimark_benchmark: 825.5282, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.883, kappa: 0.6978, kb_relative_information_score: 57095.9117, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8825, predictive_accuracy: 0.8848, prior_entropy: 0.8395, recall: 0.8848, relative_absolute_error: 0.4396, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.6786, scimark_benchmark: 1306.6379, usercpu_time_millis: 410, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, f_measure: 0.8838, kappa: 0.7009, kb_relative_information_score: 53575.5732, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8832, predictive_accuracy: 0.8852, prior_entropy: 0.8395, recall: 0.8852, relative_absolute_error: 0.4977, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.7073, scimark_benchmark: 1339.3974, usercpu_time_millis: 46360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 46350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, f_measure: 0.6204, kappa: 0.0054, kb_relative_information_score: 25374.5107, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.7434, predictive_accuracy: 0.7322, prior_entropy: 0.8395, recall: 0.7322, relative_absolute_error: 0.6816, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.5175, root_relative_squared_error: 1.1676, scimark_benchmark: 1319.9043, usercpu_time_millis: 247910, usercpu_time_millis_testing: 51800, usercpu_time_millis_training: 196110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8694, kappa: 0.6654, kb_relative_information_score: 61267.2541, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8688, predictive_accuracy: 0.8703, prior_entropy: 0.8395, recall: 0.8703, relative_absolute_error: 0.3707, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.7259, scimark_benchmark: 1330.0803, usercpu_time_millis: 3050, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 3000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.8644, kappa: 0.6599, kb_relative_information_score: 62222.1759, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8673, predictive_accuracy: 0.8626, prior_entropy: 0.8395, recall: 0.8626, relative_absolute_error: 0.3498, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.8364, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.8691, kappa: 0.6549, kb_relative_information_score: 65913.374, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8745, predictive_accuracy: 0.8756, prior_entropy: 0.8395, recall: 0.8756, relative_absolute_error: 0.3166, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7957, scimark_benchmark: 1341.2341, usercpu_time_millis: 1130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.6179, kb_relative_information_score: -5.7001, mean_absolute_error: 0.3929, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.5349, predictive_accuracy: 0.7314, prior_entropy: 0.8395, recall: 0.7314, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.4432, root_relative_squared_error: 1, scimark_benchmark: 1380.2233, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8937, kappa: 0.7249, kb_relative_information_score: 63938.0542, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8936, predictive_accuracy: 0.8956, prior_entropy: 0.8395, recall: 0.8956, relative_absolute_error: 0.3657, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.6469, scimark_benchmark: 1505.597, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, build_cpu_time: 149.4884, build_memory: 232045513.5194, f_measure: 0.9016, kappa: 0.748, kb_relative_information_score: 73114.2079, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.9012, predictive_accuracy: 0.9022, prior_entropy: 0.8395, recall: 0.9022, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.6751, scimark_benchmark: 897.921,

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