Task
Supervised Classification on mnist_784

Supervised Classification on mnist_784

Task 4278 Supervised Classification mnist_784 81 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9436, kappa: 0.9374, kb_relative_information_score: 660565.5411, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.9436, predictive_accuracy: 0.9437, prior_entropy: 3.3198, recall: 0.9437, relative_absolute_error: 0.0664, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3299, scimark_benchmark: 763.3895, usercpu_time_millis: 48370030, usercpu_time_millis_testing: 7220, usercpu_time_millis_training: 48362810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5068, f_measure: 0.04, kappa: 0.0133, kb_relative_information_score: 48999.6993, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.6684, predictive_accuracy: 0.1108, prior_entropy: 3.3198, recall: 0.1108, relative_absolute_error: 0.9883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4217, root_relative_squared_error: 1.4059, scimark_benchmark: 934.3687, usercpu_time_millis: 35353510, usercpu_time_millis_testing: 7700290, usercpu_time_millis_training: 27653220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5068, f_measure: 0.04, kappa: 0.0133, kb_relative_information_score: 48999.6993, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.6684, predictive_accuracy: 0.1108, prior_entropy: 3.3198, recall: 0.1108, relative_absolute_error: 0.9883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4217, root_relative_squared_error: 1.4059, scimark_benchmark: 938.5498, usercpu_time_millis: 35570060, usercpu_time_millis_testing: 7693090, usercpu_time_millis_training: 27876970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9616, kappa: 0.9574, kb_relative_information_score: 644767.7644, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.9616, predictive_accuracy: 0.9616, prior_entropy: 3.3198, recall: 0.9616, relative_absolute_error: 0.1407, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.301, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.6685, kappa: 0.6362, kb_relative_information_score: 426304.2694, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.668, predictive_accuracy: 0.6728, prior_entropy: 3.3198, recall: 0.6728, relative_absolute_error: 0.5476, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.7091, scimark_benchmark: 608.4057, usercpu_time_millis: 9157490, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 9157180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6532, f_measure: 0.072, kappa: 0.1092, kb_relative_information_score: 103897.3547, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.0438, predictive_accuracy: 0.2044, prior_entropy: 3.3198, recall: 0.2044, relative_absolute_error: 0.9568, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.9783, scimark_benchmark: 936.1714, usercpu_time_millis: 33340, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 33170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6532, f_measure: 0.072, kappa: 0.1092, kb_relative_information_score: 103897.3547, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.0438, predictive_accuracy: 0.2044, prior_entropy: 3.3198, recall: 0.2044, relative_absolute_error: 0.9568, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.9783, scimark_benchmark: 941.9549, usercpu_time_millis: 30770, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 30590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6532, f_measure: 0.072, kappa: 0.1092, kb_relative_information_score: 103897.3547, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.0438, predictive_accuracy: 0.2044, prior_entropy: 3.3198, recall: 0.2044, relative_absolute_error: 0.9568, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.9783, scimark_benchmark: 941.9549, usercpu_time_millis: 27180, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 27000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6532, f_measure: 0.072, kappa: 0.1092, kb_relative_information_score: 103897.3547, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.0438, predictive_accuracy: 0.2044, prior_entropy: 3.3198, recall: 0.2044, relative_absolute_error: 0.9568, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.9783, scimark_benchmark: 940.0055, usercpu_time_millis: 41930, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 41740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6532, f_measure: 0.072, kappa: 0.1092, kb_relative_information_score: 103897.3547, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.0438, predictive_accuracy: 0.2044, prior_entropy: 3.3198, recall: 0.2044, relative_absolute_error: 0.9568, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.9783, scimark_benchmark: 940.0055, usercpu_time_millis: 36420, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 36240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.2784, kappa: 0.3016, kb_relative_information_score: 93673.9844, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.2924, predictive_accuracy: 0.3745, prior_entropy: 3.3198, recall: 0.3745, relative_absolute_error: 0.9571, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.9651, scimark_benchmark: 943.4741, usercpu_time_millis: 15450, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 15190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.8944, kappa: 0.8829, kb_relative_information_score: 612726.1025, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.8943, predictive_accuracy: 0.8946, prior_entropy: 3.3198, recall: 0.8946, relative_absolute_error: 0.1858, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.418, scimark_benchmark: 1309.4998, usercpu_time_millis: 8679060, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 8678800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.8944, kappa: 0.8829, kb_relative_information_score: 612726.1025, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.8943, predictive_accuracy: 0.8946, prior_entropy: 3.3198, recall: 0.8946, relative_absolute_error: 0.1858, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.418, scimark_benchmark: 1296.8947, usercpu_time_millis: 8534730, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 8534470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9308, kappa: 0.9231, kb_relative_information_score: 650386.134, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.9323, predictive_accuracy: 0.9308, prior_entropy: 3.3198, recall: 0.9308, relative_absolute_error: 0.0772, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1146, root_relative_squared_error: 0.3821, scimark_benchmark: 1337.951, usercpu_time_millis: 2234030, usercpu_time_millis_testing: 1883970, usercpu_time_millis_training: 350060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.503, kappa: 0.4684, kb_relative_information_score: 281852.4686, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.5206, predictive_accuracy: 0.5225, prior_entropy: 3.3198, recall: 0.5225, relative_absolute_error: 0.7322, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.8331, scimark_benchmark: 1337.5749, usercpu_time_millis: 12404500, usercpu_time_millis_testing: 1710, usercpu_time_millis_training: 12402790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9576, kappa: 0.9529, kb_relative_information_score: 626711.4397, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.9576, predictive_accuracy: 0.9576, prior_entropy: 3.3198, recall: 0.9576, relative_absolute_error: 0.1906, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.098, root_relative_squared_error: 0.3268, scimark_benchmark: 1320.9366, usercpu_time_millis: 7491960, usercpu_time_millis_testing: 40720, usercpu_time_millis_training: 7451240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9053, kappa: 0.8947, kb_relative_information_score: 619465.4336, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.9065, predictive_accuracy: 0.9053, prior_entropy: 3.3198, recall: 0.9053, relative_absolute_error: 0.1437, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.437, scimark_benchmark: 1314.7093, usercpu_time_millis: 8653400, usercpu_time_millis_testing: 620, usercpu_time_millis_training: 8652780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.8944, kappa: 0.8829, kb_relative_information_score: 612726.1025, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.8943, predictive_accuracy: 0.8946, prior_entropy: 3.3198, recall: 0.8946, relative_absolute_error: 0.1858, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.418, scimark_benchmark: 1332.6143, usercpu_time_millis: 8591530, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 8591270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9506, kappa: 0.9452, kb_relative_information_score: 629573.6265, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.9507, predictive_accuracy: 0.9507, prior_entropy: 3.3198, recall: 0.9507, relative_absolute_error: 0.1763, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.3311, scimark_benchmark: 1347.5461, usercpu_time_millis: 10818220, usercpu_time_millis_testing: 10650, usercpu_time_millis_training: 10807570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.8944, kappa: 0.8829, kb_relative_information_score: 612726.1025, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.8943, predictive_accuracy: 0.8946, prior_entropy: 3.3198, recall: 0.8946, relative_absolute_error: 0.1858, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.418, scimark_benchmark: 1350.2369, usercpu_time_millis: 7594190, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 7593940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.8944, kappa: 0.8829, kb_relative_information_score: 612726.1025, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.8943, predictive_accuracy: 0.8946, prior_entropy: 3.3198, recall: 0.8946, relative_absolute_error: 0.1858, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.418, scimark_benchmark: 1292.1375, usercpu_time_millis: 9205740, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 9205470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.8944, kappa: 0.8829, kb_relative_information_score: 612726.1025, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.8943, predictive_accuracy: 0.8946, prior_entropy: 3.3198, recall: 0.8946, relative_absolute_error: 0.1858, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.418, scimark_benchmark: 1227.9507, usercpu_time_millis: 8231040, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 8230760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9735, kappa: 0.9706, kb_relative_information_score: 680537.6992, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.9736, predictive_accuracy: 0.9736, prior_entropy: 3.3198, recall: 0.9736, relative_absolute_error: 0.0294, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.2424, scimark_benchmark: 1293.6566, usercpu_time_millis: 53002200, usercpu_time_millis_testing: 53001780, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9576, kappa: 0.9529, kb_relative_information_score: 626711.4397, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.9576, predictive_accuracy: 0.9576, prior_entropy: 3.3198, recall: 0.9576, relative_absolute_error: 0.1906, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.098, root_relative_squared_error: 0.3268, scimark_benchmark: 1347.993, usercpu_time_millis: 6546640, usercpu_time_millis_testing: 36040, usercpu_time_millis_training: 6510600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.8738, kappa: 0.8601, kb_relative_information_score: 607384.4467, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.8741, predictive_accuracy: 0.8741, prior_entropy: 3.3198, recall: 0.8741, relative_absolute_error: 0.1399, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.529, scimark_benchmark: 1261.7298, usercpu_time_millis: 11510200, usercpu_time_millis_testing: 40260, usercpu_time_millis_training: 11469940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9127, kappa: 0.9031, kb_relative_information_score: 628699.9759, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.9126, predictive_accuracy: 0.9128, prior_entropy: 3.3198, recall: 0.9128, relative_absolute_error: 0.1518, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.3822, scimark_benchmark: 1354.629, usercpu_time_millis: 13066020, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 13065760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9735, kappa: 0.9706, kb_relative_information_score: 680537.6992, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.9736, predictive_accuracy: 0.9736, prior_entropy: 3.3198, recall: 0.9736, relative_absolute_error: 0.0294, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.2424, scimark_benchmark: 1345.842, usercpu_time_millis: 55407130, usercpu_time_millis_testing: 55406740, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9506, kappa: 0.9452, kb_relative_information_score: 629573.6265, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.9507, predictive_accuracy: 0.9507, prior_entropy: 3.3198, recall: 0.9507, relative_absolute_error: 0.1763, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.3311, scimark_benchmark: 994.8259, usercpu_time_millis: 9136270, usercpu_time_millis_testing: 8700, usercpu_time_millis_training: 9127570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.882, kappa: 0.8691, kb_relative_information_score: 611514.4616, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.8819, predictive_accuracy: 0.8822, prior_entropy: 3.3198, recall: 0.8822, relative_absolute_error: 0.1448, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.4912, scimark_benchmark: 1284.2094, usercpu_time_millis: 1005260, usercpu_time_millis_testing: 480, usercpu_time_millis_training: 1004780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.7874, kappa: 0.7642, kb_relative_information_score: 540744.303, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.7876, predictive_accuracy: 0.7878, prior_entropy: 3.3198, recall: 0.7878, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.6352, scimark_benchmark: 1342.6911, usercpu_time_millis: 114380, usercpu_time_millis_testing: 1870, usercpu_time_millis_training: 112510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9053, kappa: 0.8947, kb_relative_information_score: 619465.4336, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.9065, predictive_accuracy: 0.9053, prior_entropy: 3.3198, recall: 0.9053, relative_absolute_error: 0.1437, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.437, scimark_benchmark: 1343.2125, usercpu_time_millis: 8776940, usercpu_time_millis_testing: 770, usercpu_time_millis_training: 8776170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.6685, kappa: 0.6362, kb_relative_information_score: 426304.2694, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.668, predictive_accuracy: 0.6728, prior_entropy: 3.3198, recall: 0.6728, relative_absolute_error: 0.5476, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.7091, scimark_benchmark: 1384.4422, usercpu_time_millis: 5742470, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 5742220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.503, kappa: 0.4684, kb_relative_information_score: 281852.4686, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.5206, predictive_accuracy: 0.5225, prior_entropy: 3.3198, recall: 0.5225, relative_absolute_error: 0.7322, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.8331, scimark_benchmark: 1337.3264, usercpu_time_millis: 9615670, usercpu_time_millis_testing: 1740, usercpu_time_millis_training: 9613930,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.9118, kappa: 0.902, kb_relative_information_score: 634044.2513, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.9118, predictive_accuracy: 0.9118, prior_entropy: 3.3198, recall: 0.9118, relative_absolute_error: 0.1033, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.13, root_relative_squared_error: 0.4334, scimark_benchmark: 1501.4698, usercpu_time_millis: 4363850, usercpu_time_millis_testing: 1640, usercpu_time_millis_training: 4362210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6532, f_measure: 0.072, kappa: 0.1092, kb_relative_information_score: 103897.3547, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.0438, predictive_accuracy: 0.2044, prior_entropy: 3.3198, recall: 0.2044, relative_absolute_error: 0.9568, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.9783, scimark_benchmark: 1297.6356, usercpu_time_millis: 22640, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 22400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6532, f_measure: 0.072, kappa: 0.1092, kb_relative_information_score: 103897.3547, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.0438, predictive_accuracy: 0.2044, prior_entropy: 3.3198, recall: 0.2044, relative_absolute_error: 0.9568, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.9783, scimark_benchmark: 1304.9611, usercpu_time_millis: 18460, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 18270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6532, f_measure: 0.072, kappa: 0.1092, kb_relative_information_score: 103897.3547, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.0438, predictive_accuracy: 0.2044, prior_entropy: 3.3198, recall: 0.2044, relative_absolute_error: 0.9568, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.9783, scimark_benchmark: 933.3136, usercpu_time_millis: 29610, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 29440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6532, f_measure: 0.072, kappa: 0.1092, kb_relative_information_score: 103897.3547, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.0438, predictive_accuracy: 0.2044, prior_entropy: 3.3198, recall: 0.2044, relative_absolute_error: 0.9568, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.9783, scimark_benchmark: 937.1527, usercpu_time_millis: 38370, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 38180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.8827, kappa: 0.8697, kb_relative_information_score: 604326.0759, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.8827, predictive_accuracy: 0.8828, prior_entropy: 3.3198, recall: 0.8828, relative_absolute_error: 0.1688, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.4756, scimark_benchmark: 1034.1273, usercpu_time_millis: 794590, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 794330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.967, kappa: 0.9633, kb_relative_information_score: 611164.8454, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.967, predictive_accuracy: 0.967, prior_entropy: 3.3198, recall: 0.967, relative_absolute_error: 0.2383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1065, root_relative_squared_error: 0.355, scimark_benchmark: 1298.285, usercpu_time_millis: 114320, usercpu_time_millis_testing: 8380, usercpu_time_millis_training: 105940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.8774, kappa: 0.8638, kb_relative_information_score: 599637.4843, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.8773, predictive_accuracy: 0.8775, prior_entropy: 3.3198, recall: 0.8775, relative_absolute_error: 0.1842, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.4726, scimark_benchmark: 1319.6463, usercpu_time_millis: 71950, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 71750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.8067, kappa: 0.7854, kb_relative_information_score: 557885.3638, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.8065, predictive_accuracy: 0.8069, prior_entropy: 3.3198, recall: 0.8069, relative_absolute_error: 0.2146, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.6551, scimark_benchmark: 1307.4861, usercpu_time_millis: 2230, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 1980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5793, f_measure: 0.1592, kappa: 0.1584, kb_relative_information_score: 145059.3512, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.1828, predictive_accuracy: 0.2455, prior_entropy: 3.3198, recall: 0.2455, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3885, root_relative_squared_error: 1.295, scimark_benchmark: 1384.4418, usercpu_time_millis: 11320, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 11100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8897, kappa: 0.8776, kb_relative_information_score: 617369.6267, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.8896, predictive_accuracy: 0.8898, prior_entropy: 3.3198, recall: 0.8898, relative_absolute_error: 0.1344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.4761, scimark_benchmark: 1316.9728, usercpu_time_millis: 285110, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 284640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.0228, kb_relative_information_score: 7.7816, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.1799, number_of_instances: 700000, precision: 0.0127, predictive_accuracy: 0.1125, prior_entropy: 3.3198, recall: 0.1125, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 1353.5686, usercpu_time_millis: 150, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 10,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs