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Supervised Classification on oh10.wc

Supervised Classification on oh10.wc

Task 3536 Supervised Classification oh10.wc 289 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.7905, kappa: 0.762, kb_relative_information_score: 812.6856, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7962, predictive_accuracy: 0.7895, prior_entropy: 3.2054, recall: 0.7895, relative_absolute_error: 0.2696, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.6114, scimark_benchmark: 1342.6911, usercpu_time_millis: 6990, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 6780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.7869, kappa: 0.7562, kb_relative_information_score: 793.801, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.8023, predictive_accuracy: 0.7857, prior_entropy: 3.2054, recall: 0.7857, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.6355, scimark_benchmark: 1350.073, usercpu_time_millis: 68330, usercpu_time_millis_training: 68330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.7042, kappa: 0.6488, kb_relative_information_score: 665.7812, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7841, predictive_accuracy: 0.6933, prior_entropy: 3.2054, recall: 0.6933, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.647, scimark_benchmark: 1342.1678, usercpu_time_millis: 95740, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 95730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.8092, kappa: 0.7893, kb_relative_information_score: 672.1347, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.8268, predictive_accuracy: 0.8152, prior_entropy: 3.2054, recall: 0.8152, relative_absolute_error: 0.5315, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.6254, scimark_benchmark: 889.3151, usercpu_time_millis: 242060, usercpu_time_millis_testing: 4730, usercpu_time_millis_training: 237330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7054, f_measure: 0.477, kappa: 0.4097, kb_relative_information_score: 459.817, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.4776, predictive_accuracy: 0.479, prior_entropy: 3.2054, recall: 0.479, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.3228, root_relative_squared_error: 1.0858, scimark_benchmark: 1349.9917, usercpu_time_millis: 1740, usercpu_time_millis_training: 1740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.7929, kappa: 0.7726, kb_relative_information_score: 661.4747, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.8196, predictive_accuracy: 0.801, prior_entropy: 3.2054, recall: 0.801, relative_absolute_error: 0.5436, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.6374, scimark_benchmark: 1345.3152, usercpu_time_millis: 114120, usercpu_time_millis_testing: 1840, usercpu_time_millis_training: 112280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.7905, kappa: 0.762, kb_relative_information_score: 812.6856, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7962, predictive_accuracy: 0.7895, prior_entropy: 3.2054, recall: 0.7895, relative_absolute_error: 0.2696, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.6114, scimark_benchmark: 1357.483, usercpu_time_millis: 6480, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 6290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.8106, kappa: 0.7849, kb_relative_information_score: 830.3054, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.8133, predictive_accuracy: 0.8105, prior_entropy: 3.2054, recall: 0.8105, relative_absolute_error: 0.2537, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.165, root_relative_squared_error: 0.5551, scimark_benchmark: 1349.9917, usercpu_time_millis: 872820, usercpu_time_millis_training: 872820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.7905, kappa: 0.762, kb_relative_information_score: 812.6856, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7962, predictive_accuracy: 0.7895, prior_entropy: 3.2054, recall: 0.7895, relative_absolute_error: 0.2696, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.6114, scimark_benchmark: 1314.7093, usercpu_time_millis: 6570, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 6370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5908, f_measure: 0.1744, kappa: 0.1262, kb_relative_information_score: 147.8837, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.169, predictive_accuracy: 0.26, prior_entropy: 3.2054, recall: 0.26, relative_absolute_error: 0.8886, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2803, root_relative_squared_error: 0.9428, scimark_benchmark: 854.5188, usercpu_time_millis: 1490, usercpu_time_millis_training: 1490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7032, f_measure: 0.4186, kappa: 0.3955, kb_relative_information_score: 468.3646, mean_absolute_error: 0.1117, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7592, predictive_accuracy: 0.441, prior_entropy: 3.2054, recall: 0.441, relative_absolute_error: 0.6321, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.3341, root_relative_squared_error: 1.124, scimark_benchmark: 1354.8751, usercpu_time_millis: 26400, usercpu_time_millis_testing: 11490, usercpu_time_millis_training: 14910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.7996, kappa: 0.7748, kb_relative_information_score: 821.6221, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7991, predictive_accuracy: 0.801, prior_entropy: 3.2054, recall: 0.801, relative_absolute_error: 0.2252, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.6712, scimark_benchmark: 1261.7298, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.7998, kappa: 0.777, kb_relative_information_score: 810.4869, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.8048, predictive_accuracy: 0.8038, prior_entropy: 3.2054, recall: 0.8038, relative_absolute_error: 0.2654, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.179, root_relative_squared_error: 0.6021, scimark_benchmark: 912.7324, usercpu_time_millis: 504750, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 504730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.8017, kappa: 0.7759, kb_relative_information_score: 837.1081, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.8049, predictive_accuracy: 0.8019, prior_entropy: 3.2054, recall: 0.8019, relative_absolute_error: 0.2416, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.5878, scimark_benchmark: 1322.4968, usercpu_time_millis: 5950, usercpu_time_millis_testing: 3700, usercpu_time_millis_training: 2250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.3027, kappa: 0.2616, kb_relative_information_score: 188.3211, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.3402, predictive_accuracy: 0.3733, prior_entropy: 3.2054, recall: 0.3733, relative_absolute_error: 0.8525, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.9228, scimark_benchmark: 923.6051, usercpu_time_millis: 1545200, usercpu_time_millis_testing: 1545200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6571, f_measure: 0.123, kappa: 0.0729, kb_relative_information_score: 121.279, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.4813, predictive_accuracy: 0.1333, prior_entropy: 3.2054, recall: 0.1333, relative_absolute_error: 0.9758, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.3909, root_relative_squared_error: 1.315, scimark_benchmark: 1316.8289, usercpu_time_millis: 1402810, usercpu_time_millis_testing: 1402810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.514, f_measure: 0.0748, kappa: 0.0263, kb_relative_information_score: 45.2897, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.3276, predictive_accuracy: 0.081, prior_entropy: 3.2054, recall: 0.081, relative_absolute_error: 1.0395, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.4265, root_relative_squared_error: 1.4347, scimark_benchmark: 1313.0885, usercpu_time_millis: 1510, usercpu_time_millis_testing: 1500, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.514, f_measure: 0.0748, kappa: 0.0263, kb_relative_information_score: 45.197, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.3276, predictive_accuracy: 0.081, prior_entropy: 3.2054, recall: 0.081, relative_absolute_error: 1.0398, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.4287, root_relative_squared_error: 1.4422, scimark_benchmark: 1330.6247, usercpu_time_millis: 314520, usercpu_time_millis_testing: 314230, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.5598, kappa: 0.5094, kb_relative_information_score: 323.913, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.5769, predictive_accuracy: 0.5629, prior_entropy: 3.2054, recall: 0.5629, relative_absolute_error: 0.7715, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.9862, scimark_benchmark: 1345.4669, usercpu_time_millis: 3560, usercpu_time_millis_testing: 2460, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.8228, kappa: 0.799, kb_relative_information_score: 855.9355, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.8254, predictive_accuracy: 0.8229, prior_entropy: 3.2054, recall: 0.8229, relative_absolute_error: 0.2079, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.5694, scimark_benchmark: 1305.7231, usercpu_time_millis: 3563900, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3563890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.7572, kappa: 0.7294, kb_relative_information_score: 767.7142, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7568, predictive_accuracy: 0.7619, prior_entropy: 3.2054, recall: 0.7619, relative_absolute_error: 0.2694, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.7341, scimark_benchmark: 1313.6093, usercpu_time_millis: 23880, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 23580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.594, f_measure: 0.1828, kappa: 0.1251, kb_relative_information_score: 147.4298, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.1695, predictive_accuracy: 0.259, prior_entropy: 3.2054, recall: 0.259, relative_absolute_error: 0.8873, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2803, root_relative_squared_error: 0.9429, scimark_benchmark: 1327.9121, usercpu_time_millis: 1430, usercpu_time_millis_training: 1430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.7175, kappa: 0.6715, kb_relative_information_score: 553.2091, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7887, predictive_accuracy: 0.7133, prior_entropy: 3.2054, recall: 0.7133, relative_absolute_error: 0.6178, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.723, scimark_benchmark: 1340.4336, usercpu_time_millis: 244430, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 244230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.7627, kappa: 0.7299, kb_relative_information_score: 759.3908, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7654, predictive_accuracy: 0.7619, prior_entropy: 3.2054, recall: 0.7619, relative_absolute_error: 0.3382, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.6218, scimark_benchmark: 1059.8591, usercpu_time_millis: 1166650, usercpu_time_millis_testing: 1050, usercpu_time_millis_training: 1165600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.8196, kappa: 0.7958, kb_relative_information_score: 848.7712, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.8212, predictive_accuracy: 0.82, prior_entropy: 3.2054, recall: 0.82, relative_absolute_error: 0.2237, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.5544, scimark_benchmark: 1332.576, usercpu_time_millis: 1775700, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1775690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.8068, kappa: 0.7851, kb_relative_information_score: 673.6783, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.8216, predictive_accuracy: 0.8114, prior_entropy: 3.2054, recall: 0.8114, relative_absolute_error: 0.5335, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.6238, scimark_benchmark: 1349.1028, usercpu_time_millis: 363780, usercpu_time_millis_testing: 7750, usercpu_time_millis_training: 356030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.8003, kappa: 0.7717, kb_relative_information_score: 756.6876, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.8132, predictive_accuracy: 0.799, prior_entropy: 3.2054, recall: 0.799, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.5838, scimark_benchmark: 1341.4232, usercpu_time_millis: 1051510, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 1051330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.7951, kappa: 0.7662, kb_relative_information_score: 757.1402, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.8084, predictive_accuracy: 0.7943, prior_entropy: 3.2054, recall: 0.7943, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.5858, scimark_benchmark: 1337.6765, usercpu_time_millis: 397210, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 397170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7594, f_measure: 0.5372, kappa: 0.5244, kb_relative_information_score: 542.2135, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.633, predictive_accuracy: 0.5933, prior_entropy: 3.2054, recall: 0.5933, relative_absolute_error: 0.4601, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.9593, scimark_benchmark: 1335.5424, usercpu_time_millis: 4500, usercpu_time_millis_testing: 2730, usercpu_time_millis_training: 1770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, f_measure: 0.217, kappa: 0.1944, kb_relative_information_score: 126.9111, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.2116, predictive_accuracy: 0.3086, prior_entropy: 3.2054, recall: 0.3086, relative_absolute_error: 0.9439, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.9638, scimark_benchmark: 934.4732, usercpu_time_millis: 3170210, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 3169930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.7905, kappa: 0.762, kb_relative_information_score: 812.6856, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7962, predictive_accuracy: 0.7895, prior_entropy: 3.2054, recall: 0.7895, relative_absolute_error: 0.2696, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.6114, scimark_benchmark: 1386.5717, usercpu_time_millis: 6400, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 6220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.7231, kappa: 0.6904, kb_relative_information_score: 733.8081, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7211, predictive_accuracy: 0.7267, prior_entropy: 3.2054, recall: 0.7267, relative_absolute_error: 0.3094, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.7844, scimark_benchmark: 1350.9691, usercpu_time_millis: 15190, usercpu_time_millis_testing: 14040, usercpu_time_millis_training: 1150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.6434, kappa: 0.6287, kb_relative_information_score: 51.5797, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7249, predictive_accuracy: 0.679, prior_entropy: 3.2054, recall: 0.679, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2999, root_relative_squared_error: 1.0088, scimark_benchmark: 1329.0992, usercpu_time_millis: 1570, usercpu_time_millis_testing: 1440, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.7191, kappa: 0.6815, kb_relative_information_score: 704.0441, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7434, predictive_accuracy: 0.721, prior_entropy: 3.2054, recall: 0.721, relative_absolute_error: 0.3926, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.6874, scimark_benchmark: 1361.2664, usercpu_time_millis: 115330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 115320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.7042, kappa: 0.6488, kb_relative_information_score: 665.7812, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7841, predictive_accuracy: 0.6933, prior_entropy: 3.2054, recall: 0.6933, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.647, scimark_benchmark: 1338.01, usercpu_time_millis: 102070, usercpu_time_millis_training: 102070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.7962, kappa: 0.7719, kb_relative_information_score: 657.6475, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.814, predictive_accuracy: 0.8, prior_entropy: 3.2054, recall: 0.8, relative_absolute_error: 0.5429, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.6441, scimark_benchmark: 1345.1228, usercpu_time_millis: 55790, usercpu_time_millis_testing: 820, usercpu_time_millis_training: 54970,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5908, f_measure: 0.1744, kappa: 0.1262, kb_relative_information_score: 147.8837, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.169, predictive_accuracy: 0.26, prior_entropy: 3.2054, recall: 0.26, relative_absolute_error: 0.8886, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2803, root_relative_squared_error: 0.9428, scimark_benchmark: 894.7455, usercpu_time_millis: 1590, usercpu_time_millis_training: 1590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5908, f_measure: 0.1744, kappa: 0.1262, kb_relative_information_score: 147.8837, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.169, predictive_accuracy: 0.26, prior_entropy: 3.2054, recall: 0.26, relative_absolute_error: 0.8886, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2803, root_relative_squared_error: 0.9428, scimark_benchmark: 936.6206, usercpu_time_millis: 1530, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5908, f_measure: 0.1744, kappa: 0.1262, kb_relative_information_score: 147.8837, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.169, predictive_accuracy: 0.26, prior_entropy: 3.2054, recall: 0.26, relative_absolute_error: 0.8886, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2803, root_relative_squared_error: 0.9428, scimark_benchmark: 911.3823, usercpu_time_millis: 1620, usercpu_time_millis_training: 1620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5908, f_measure: 0.1744, kappa: 0.1262, kb_relative_information_score: 147.8837, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.169, predictive_accuracy: 0.26, prior_entropy: 3.2054, recall: 0.26, relative_absolute_error: 0.8886, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2803, root_relative_squared_error: 0.9428, scimark_benchmark: 933.8635, usercpu_time_millis: 1620, usercpu_time_millis_training: 1620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5908, f_measure: 0.1744, kappa: 0.1262, kb_relative_information_score: 147.8837, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.169, predictive_accuracy: 0.26, prior_entropy: 3.2054, recall: 0.26, relative_absolute_error: 0.8886, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2803, root_relative_squared_error: 0.9428, scimark_benchmark: 938.9865, usercpu_time_millis: 1640, usercpu_time_millis_training: 1640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.8239, kappa: 0.8001, kb_relative_information_score: 856.7068, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.8264, predictive_accuracy: 0.8238, prior_entropy: 3.2054, recall: 0.8238, relative_absolute_error: 0.2074, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.5682, scimark_benchmark: 939.7623, usercpu_time_millis: 3805380, usercpu_time_millis_training: 3805380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.8196, kappa: 0.7958, kb_relative_information_score: 849.1769, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.8212, predictive_accuracy: 0.82, prior_entropy: 3.2054, recall: 0.82, relative_absolute_error: 0.2236, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.5539, scimark_benchmark: 938.4285, usercpu_time_millis: 1564490, usercpu_time_millis_training: 1564490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.7946, kappa: 0.7676, kb_relative_information_score: 804.3336, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7966, predictive_accuracy: 0.7952, prior_entropy: 3.2054, recall: 0.7952, relative_absolute_error: 0.2952, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.169, root_relative_squared_error: 0.5687, scimark_benchmark: 934.5243, usercpu_time_millis: 532470, usercpu_time_millis_training: 532470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.7894, kappa: 0.7603, kb_relative_information_score: 782.3257, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7922, predictive_accuracy: 0.7886, prior_entropy: 3.2054, recall: 0.7886, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.569, scimark_benchmark: 943.2817, usercpu_time_millis: 240140, usercpu_time_millis_training: 240140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4914, f_measure: 0.0712, kappa: -0.0034, kb_relative_information_score: 0.676, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.0483, predictive_accuracy: 0.1543, prior_entropy: 3.2054, recall: 0.1543, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2973, root_relative_squared_error: 1, scimark_benchmark: 940.2922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.5948, kappa: 0.5692, kb_relative_information_score: 505.6375, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.6189, predictive_accuracy: 0.6248, prior_entropy: 3.2054, recall: 0.6248, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.7989, scimark_benchmark: 902.4773, usercpu_time_millis: 2440, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4914, f_measure: 0.0712, kappa: -0.0034, kb_relative_information_score: 0.676, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.0483, predictive_accuracy: 0.1543, prior_entropy: 3.2054, recall: 0.1543, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2973, root_relative_squared_error: 1, scimark_benchmark: 910.8389, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.7924, kappa: 0.7634, kb_relative_information_score: 778.301, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7959, predictive_accuracy: 0.7914, prior_entropy: 3.2054, recall: 0.7914, relative_absolute_error: 0.3305, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.5706, scimark_benchmark: 910.8389, usercpu_time_millis: 221890, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 221880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.0712, kappa: -0.0034, kb_relative_information_score: 88.8384, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.0483, predictive_accuracy: 0.1543, prior_entropy: 3.2054, recall: 0.1543, relative_absolute_error: 0.9568, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.4113, root_relative_squared_error: 1.3835, scimark_benchmark: 947.9494, usercpu_time_millis: 280, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.7524, kappa: 0.7098, kb_relative_information_score: 713.7985, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.78, predictive_accuracy: 0.7457, prior_entropy: 3.2054, recall: 0.7457, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.6319, scimark_benchmark: 929.0255, usercpu_time_millis: 351680, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 351470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7602, f_measure: 0.3881, kappa: 0.3531, kb_relative_information_score: 183.7165, mean_absolute_error: 0.1588, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.4677, predictive_accuracy: 0.4495, prior_entropy: 3.2054, recall: 0.4495, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.9202, scimark_benchmark: 901.0726, usercpu_time_millis: 1400, usercpu_time_millis_training: 1400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.831, kappa: 0.8107, kb_relative_information_score: 851.9559, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.8325, predictive_accuracy: 0.8333, prior_entropy: 3.2054, recall: 0.8333, relative_absolute_error: 0.1901, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.6111, scimark_benchmark: 883.7187, usercpu_time_millis: 4921550, usercpu_time_millis_testing: 3180, usercpu_time_millis_training: 4918370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8255, kappa: 0.8042, kb_relative_information_score: 850.7058, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.8271, predictive_accuracy: 0.8276, prior_entropy: 3.2054, recall: 0.8276, relative_absolute_error: 0.193, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.6179, scimark_benchmark: 933.8635, usercpu_time_millis: 10179300, usercpu_time_millis_testing: 5770, usercpu_time_millis_training: 10173530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, build_cpu_time: 599.1629, build_memory: 2358173174.4, f_measure: 0.7769, kappa: 0.7386, kb_relative_information_score: 762.9625, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.8057, predictive_accuracy: 0.7705, prior_entropy: 3.2054, recall: 0.7705, relative_absolute_error: 0.3606, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.179, root_relative_squared_error: 0.6021, scimark_benchmark: 824.7277,

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