Task
Supervised Classification on tr12.wc

Supervised Classification on tr12.wc

Task 4237 Supervised Classification tr12.wc 90 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8576, f_measure: 0.6899, kappa: 0.6272, kb_relative_information_score: 1938.5802, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.6923, predictive_accuracy: 0.6911, prior_entropy: 2.7783, recall: 0.6911, relative_absolute_error: 0.4448, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.2517, root_relative_squared_error: 0.7813, scimark_benchmark: 934.7923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.825, kappa: 0.7894, kb_relative_information_score: 2494.0125, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.8256, predictive_accuracy: 0.8252, prior_entropy: 2.7783, recall: 0.8252, relative_absolute_error: 0.2345, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.622, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8143, kappa: 0.7874, kb_relative_information_score: 2459.3429, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.8217, predictive_accuracy: 0.8246, prior_entropy: 2.7783, recall: 0.8246, relative_absolute_error: 0.2252, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.206, root_relative_squared_error: 0.6393, scimark_benchmark: 934.3687, usercpu_time_millis: 9400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 9390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.8096, kappa: 0.7709, kb_relative_information_score: 2393.8113, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.8096, predictive_accuracy: 0.8102, prior_entropy: 2.7783, recall: 0.8102, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.575, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.8352, kappa: 0.8102, kb_relative_information_score: 2476.116, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.8359, predictive_accuracy: 0.8428, prior_entropy: 2.7783, recall: 0.8428, relative_absolute_error: 0.2892, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.5322, scimark_benchmark: 912.6307, usercpu_time_millis: 250560, usercpu_time_millis_testing: 115180, usercpu_time_millis_training: 135380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.825, kappa: 0.7894, kb_relative_information_score: 2494.0125, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.8256, predictive_accuracy: 0.8252, prior_entropy: 2.7783, recall: 0.8252, relative_absolute_error: 0.2345, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.622, scimark_benchmark: 942.2392, usercpu_time_millis: 2910, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.8428, kappa: 0.8183, kb_relative_information_score: 2488.5496, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.844, predictive_accuracy: 0.8495, prior_entropy: 2.7783, recall: 0.8495, relative_absolute_error: 0.2853, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.5163, scimark_benchmark: 593.4115, usercpu_time_millis: 546890, usercpu_time_millis_testing: 248660, usercpu_time_millis_training: 298230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7105, f_measure: 0.5006, kappa: 0.3986, kb_relative_information_score: 1372.2228, mean_absolute_error: 0.1269, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.4992, predictive_accuracy: 0.5032, prior_entropy: 2.7783, recall: 0.5032, relative_absolute_error: 0.6102, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.339, root_relative_squared_error: 1.0522, scimark_benchmark: 934.929, usercpu_time_millis: 10921300, usercpu_time_millis_testing: 31750, usercpu_time_millis_training: 10889550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4751, f_measure: 0.1361, kb_relative_information_score: 3.5129, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.0883, predictive_accuracy: 0.2971, prior_entropy: 2.7783, recall: 0.2971, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.3223, root_relative_squared_error: 1.0002, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.321, kappa: 0.281, kb_relative_information_score: 760.678, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.2736, predictive_accuracy: 0.4377, prior_entropy: 2.7783, recall: 0.4377, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.9028, scimark_benchmark: 936.1714, usercpu_time_millis: 920, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.321, kappa: 0.281, kb_relative_information_score: 760.678, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.2736, predictive_accuracy: 0.4377, prior_entropy: 2.7783, recall: 0.4377, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.9028, scimark_benchmark: 936.1714, usercpu_time_millis: 940, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.321, kappa: 0.281, kb_relative_information_score: 760.678, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.2736, predictive_accuracy: 0.4377, prior_entropy: 2.7783, recall: 0.4377, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.9028, scimark_benchmark: 941.9549, usercpu_time_millis: 1000, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.321, kappa: 0.281, kb_relative_information_score: 760.678, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.2736, predictive_accuracy: 0.4377, prior_entropy: 2.7783, recall: 0.4377, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.9028, scimark_benchmark: 938.3115, usercpu_time_millis: 970, usercpu_time_millis_training: 970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.321, kappa: 0.281, kb_relative_information_score: 760.678, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.2736, predictive_accuracy: 0.4377, prior_entropy: 2.7783, recall: 0.4377, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.9028, scimark_benchmark: 929.0296, usercpu_time_millis: 950, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1361, kb_relative_information_score: 451.5524, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.0883, predictive_accuracy: 0.2971, prior_entropy: 2.7783, recall: 0.2971, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.4192, root_relative_squared_error: 1.301, scimark_benchmark: 938.3115, usercpu_time_millis: 210, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.8552, kappa: 0.827, kb_relative_information_score: 2509.1979, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.8562, predictive_accuracy: 0.8566, prior_entropy: 2.7783, recall: 0.8566, relative_absolute_error: 0.2895, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.4984, scimark_benchmark: 942.6192, usercpu_time_millis: 75490, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 75450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.8482, kappa: 0.8194, kb_relative_information_score: 2405.4056, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.8484, predictive_accuracy: 0.8508, prior_entropy: 2.7783, recall: 0.8508, relative_absolute_error: 0.3444, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.5212, scimark_benchmark: 931.7994, usercpu_time_millis: 729080, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 728940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.3323, kappa: 0.2818, kb_relative_information_score: 676.9232, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.4461, predictive_accuracy: 0.4406, prior_entropy: 2.7783, recall: 0.4406, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.8974, scimark_benchmark: 933.0918, usercpu_time_millis: 820, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.825, kappa: 0.7894, kb_relative_information_score: 2494.0125, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.8256, predictive_accuracy: 0.8252, prior_entropy: 2.7783, recall: 0.8252, relative_absolute_error: 0.2345, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.622, scimark_benchmark: 926.4745, usercpu_time_millis: 2700, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 2550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.8096, kappa: 0.7709, kb_relative_information_score: 2393.8113, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.8096, predictive_accuracy: 0.8102, prior_entropy: 2.7783, recall: 0.8102, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.575, scimark_benchmark: 930.0829, usercpu_time_millis: 44770, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 44760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7182, f_measure: 0.2573, kappa: 0.1769, kb_relative_information_score: 340.8522, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.2392, predictive_accuracy: 0.3843, prior_entropy: 2.7783, recall: 0.3843, relative_absolute_error: 0.9454, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.9615, scimark_benchmark: 939.6222, usercpu_time_millis: 6215710, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 6215470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.825, kappa: 0.7894, kb_relative_information_score: 2494.0125, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.8256, predictive_accuracy: 0.8252, prior_entropy: 2.7783, recall: 0.8252, relative_absolute_error: 0.2345, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.622, scimark_benchmark: 915.9028, usercpu_time_millis: 3200, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 3060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1361, kb_relative_information_score: 118.4529, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.0883, predictive_accuracy: 0.2971, prior_entropy: 2.7783, recall: 0.2971, relative_absolute_error: 1.0522, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0264, scimark_benchmark: 938.838, usercpu_time_millis: 212160, usercpu_time_millis_testing: 212160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.8777, kappa: 0.8523, kb_relative_information_score: 2694.6873, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.8785, predictive_accuracy: 0.8776, prior_entropy: 2.7783, recall: 0.8776, relative_absolute_error: 0.1599, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.486, scimark_benchmark: 1342.8584, usercpu_time_millis: 213430, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 212990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, f_measure: 0.321, kappa: 0.281, kb_relative_information_score: 778.6135, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.2736, predictive_accuracy: 0.4377, prior_entropy: 2.7783, recall: 0.4377, relative_absolute_error: 0.8043, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.9018, scimark_benchmark: 1342.6744, usercpu_time_millis: 281360, usercpu_time_millis_testing: 281350, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.8096, kappa: 0.7709, kb_relative_information_score: 2393.8113, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.8096, predictive_accuracy: 0.8102, prior_entropy: 2.7783, recall: 0.8102, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.575, scimark_benchmark: 1331.0047, usercpu_time_millis: 32210, usercpu_time_millis_training: 32210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1361, kb_relative_information_score: 118.4529, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.0883, predictive_accuracy: 0.2971, prior_entropy: 2.7783, recall: 0.2971, relative_absolute_error: 1.0522, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0264, scimark_benchmark: 1356.7468, usercpu_time_millis: 611510, usercpu_time_millis_testing: 611510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.825, kappa: 0.7894, kb_relative_information_score: 2494.0125, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.8256, predictive_accuracy: 0.8252, prior_entropy: 2.7783, recall: 0.8252, relative_absolute_error: 0.2345, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.622, scimark_benchmark: 1371.174, usercpu_time_millis: 2140, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 2020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8363, kappa: 0.8054, kb_relative_information_score: 2552.2398, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.8366, predictive_accuracy: 0.8387, prior_entropy: 2.7783, recall: 0.8387, relative_absolute_error: 0.1941, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.195, root_relative_squared_error: 0.6051, scimark_benchmark: 1325.5735, usercpu_time_millis: 1731050, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1731040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.8445, kappa: 0.8141, kb_relative_information_score: 2534.8309, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.8444, predictive_accuracy: 0.8463, prior_entropy: 2.7783, recall: 0.8463, relative_absolute_error: 0.2393, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.5325, scimark_benchmark: 918.0213, usercpu_time_millis: 219330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 219320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8, kappa: 0.76, kb_relative_information_score: 2365.1169, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.801, predictive_accuracy: 0.8022, prior_entropy: 2.7783, recall: 0.8022, relative_absolute_error: 0.2774, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.6558, scimark_benchmark: 942.9708, usercpu_time_millis: 42850, usercpu_time_millis_training: 42850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6034, f_measure: 0.2516, kappa: 0.1998, kb_relative_information_score: 751.782, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.4575, predictive_accuracy: 0.2776, prior_entropy: 2.7783, recall: 0.2776, relative_absolute_error: 0.8687, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.425, root_relative_squared_error: 1.3189, scimark_benchmark: 854.5188, usercpu_time_millis: 9900, usercpu_time_millis_testing: 3970, usercpu_time_millis_training: 5930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.1466, kappa: 0.0082, kb_relative_information_score: 467.771, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.2613, predictive_accuracy: 0.3022, prior_entropy: 2.7783, recall: 0.3022, relative_absolute_error: 0.8391, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.4177, root_relative_squared_error: 1.2963, scimark_benchmark: 1339.4964, usercpu_time_millis: 4540, usercpu_time_millis_testing: 860, usercpu_time_millis_training: 3680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.877, kappa: 0.8531, kb_relative_information_score: 2710.006, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.8767, predictive_accuracy: 0.878, prior_entropy: 2.7783, recall: 0.878, relative_absolute_error: 0.1455, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.5088, scimark_benchmark: 1346.8749, usercpu_time_millis: 874840, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 874830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.8511, kappa: 0.822, kb_relative_information_score: 2648.5059, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.8554, predictive_accuracy: 0.8537, prior_entropy: 2.7783, recall: 0.8537, relative_absolute_error: 0.1899, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.161, root_relative_squared_error: 0.4996, scimark_benchmark: 1006.9991, usercpu_time_millis: 55970, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 55960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7205, f_measure: 0.5351, kappa: 0.4411, kb_relative_information_score: 1486.2352, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.5339, predictive_accuracy: 0.5374, prior_entropy: 2.7783, recall: 0.5374, relative_absolute_error: 0.5563, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.3401, root_relative_squared_error: 1.0555, scimark_benchmark: 1334.4761, usercpu_time_millis: 800, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.8558, kappa: 0.831, kb_relative_information_score: 2200.8565, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.8628, predictive_accuracy: 0.8617, prior_entropy: 2.7783, recall: 0.8617, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.5597, scimark_benchmark: 1337.5749, usercpu_time_millis: 152430, usercpu_time_millis_testing: 4380, usercpu_time_millis_training: 148050,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.321, kappa: 0.281, kb_relative_information_score: 760.678, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.2736, predictive_accuracy: 0.4377, prior_entropy: 2.7783, recall: 0.4377, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.9028, scimark_benchmark: 935.5075, usercpu_time_millis: 820, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.321, kappa: 0.281, kb_relative_information_score: 760.678, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.2736, predictive_accuracy: 0.4377, prior_entropy: 2.7783, recall: 0.4377, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.9028, scimark_benchmark: 1318.1432, usercpu_time_millis: 920, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, f_measure: 0.3404, kappa: 0.2179, kb_relative_information_score: 920.4145, mean_absolute_error: 0.1758, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.5365, predictive_accuracy: 0.3946, prior_entropy: 2.7783, recall: 0.3946, relative_absolute_error: 0.8456, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.9603, scimark_benchmark: 915.9324, usercpu_time_millis: 1380, usercpu_time_millis_testing: 1380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6782, f_measure: 0.3672, kappa: 0.2584, kb_relative_information_score: 1031.017, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.563, predictive_accuracy: 0.4217, prior_entropy: 2.7783, recall: 0.4217, relative_absolute_error: 0.804, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.9987, scimark_benchmark: 937.6212, usercpu_time_millis: 1460, usercpu_time_millis_testing: 1460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6276, f_measure: 0.1671, kappa: 0.013, kb_relative_information_score: 330.1972, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.2432, predictive_accuracy: 0.2984, prior_entropy: 2.7783, recall: 0.2984, relative_absolute_error: 0.9812, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.9876, scimark_benchmark: 869.6028, usercpu_time_millis: 3870, usercpu_time_millis_testing: 3260, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7186, kappa: 0.6578, kb_relative_information_score: 696.401, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.747, predictive_accuracy: 0.7243, prior_entropy: 2.7783, recall: 0.7243, relative_absolute_error: 0.933, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.3021, root_relative_squared_error: 0.9376, scimark_benchmark: 1287.514, usercpu_time_millis: 690, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.8756, kappa: 0.8493, kb_relative_information_score: 2687.7561, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.8767, predictive_accuracy: 0.8751, prior_entropy: 2.7783, recall: 0.8751, relative_absolute_error: 0.1637, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.4882, scimark_benchmark: 939.449, usercpu_time_millis: 73060, usercpu_time_millis_testing: 640, usercpu_time_millis_training: 72420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.8892, kappa: 0.8693, kb_relative_information_score: 2726.8031, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.8882, predictive_accuracy: 0.8917, prior_entropy: 2.7783, recall: 0.8917, relative_absolute_error: 0.1302, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.5107, scimark_benchmark: 938.343, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.7369, kappa: 0.6827, kb_relative_information_score: 1407.9499, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.801, predictive_accuracy: 0.7479, prior_entropy: 2.7783, recall: 0.7479, relative_absolute_error: 0.729, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.2464, root_relative_squared_error: 0.7648, scimark_benchmark: 1327.8711, usercpu_time_millis: 4900, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 4740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.665, f_measure: 0.4407, kappa: 0.3278, kb_relative_information_score: 1148.8382, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.439, predictive_accuracy: 0.4435, prior_entropy: 2.7783, recall: 0.4435, relative_absolute_error: 0.6693, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.373, root_relative_squared_error: 1.1577, scimark_benchmark: 1301.9956, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.7658, kappa: 0.7167, kb_relative_information_score: 2198.0421, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.773, predictive_accuracy: 0.7681, prior_entropy: 2.7783, recall: 0.7681, relative_absolute_error: 0.373, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.6588, scimark_benchmark: 1325.942, usercpu_time_millis: 3690, usercpu_time_millis_training: 3690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8068, kappa: 0.7684, kb_relative_information_score: 2360.449, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.8083, predictive_accuracy: 0.8093, prior_entropy: 2.7783, recall: 0.8093, relative_absolute_error: 0.2899, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.6264, scimark_benchmark: 1308.9788, usercpu_time_millis: 28340, usercpu_time_millis_training: 28340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.6599, kappa: 0.5919, kb_relative_information_score: 1915.6947, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.7126, predictive_accuracy: 0.6716, prior_entropy: 2.7783, recall: 0.6716, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.8893, scimark_benchmark: 1354.2491, usercpu_time_millis: 20110, usercpu_time_millis_testing: 8900, usercpu_time_millis_training: 11210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8109, kappa: 0.7749, kb_relative_information_score: 2442.1255, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.8139, predictive_accuracy: 0.8134, prior_entropy: 2.7783, recall: 0.8134, relative_absolute_error: 0.2344, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.6552, scimark_benchmark: 1339.4189, usercpu_time_millis: 11950, usercpu_time_millis_training: 11950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6517, f_measure: 0.321, kappa: 0.281, kb_relative_information_score: 905.4025, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.2736, predictive_accuracy: 0.4377, prior_entropy: 2.7783, recall: 0.4377, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.3749, root_relative_squared_error: 1.1637, scimark_benchmark: 1466.6185, usercpu_time_millis: 400, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8011, kappa: 0.7611, kb_relative_information_score: 2436.7037, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.8031, predictive_accuracy: 0.801, prior_entropy: 2.7783, recall: 0.801, relative_absolute_error: 0.2394, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.6923, scimark_benchmark: 1367.4715, usercpu_time_millis: 36670, usercpu_time_millis_training: 36670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4751, f_measure: 0.1361, kb_relative_information_score: 3.5129, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.0883, predictive_accuracy: 0.2971, prior_entropy: 2.7783, recall: 0.2971, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.3223, root_relative_squared_error: 1.0002, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.812, kappa: 0.7751, kb_relative_information_score: 2439.5146, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.813, predictive_accuracy: 0.8137, prior_entropy: 2.7783, recall: 0.8137, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.6537, scimark_benchmark: 1316.9728, usercpu_time_millis: 6690, usercpu_time_millis_training: 6690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, build_cpu_time: 111.2219, build_memory: 369832607.4505, f_measure: 0.8244, kappa: 0.8016, kb_relative_information_score: 2522.6296, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.2079, number_of_instances: 3130, precision: 0.8365, predictive_accuracy: 0.8361, prior_entropy: 2.7783, recall: 0.8361, relative_absolute_error: 0.2685, root_mean_prior_squared_error: 0.3222, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.5289, scimark_benchmark: 945.2172,

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