Task
Supervised Classification on la1s.wc

Supervised Classification on la1s.wc

Task 3531 Supervised Classification la1s.wc 202 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

202 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, build_cpu_time: 10179.8217, build_memory: 1387516118.1373, f_measure: 0.8451, kappa: 0.8086, kb_relative_information_score: 2397.4055, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8467, predictive_accuracy: 0.8474, prior_entropy: 2.4437, recall: 0.8474, relative_absolute_error: 0.3459, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.5493, scimark_benchmark: 946.5294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.6413, kappa: 0.5601, kb_relative_information_score: 743.0288, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7382, predictive_accuracy: 0.6598, prior_entropy: 2.4437, recall: 0.6598, relative_absolute_error: 0.8966, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.9207, scimark_benchmark: 928.4036, usercpu_time_millis: 139690, usercpu_time_millis_testing: 105000, usercpu_time_millis_training: 34690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6644, f_measure: 0.3339, kappa: 0.2388, kb_relative_information_score: 644.3581, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.2974, predictive_accuracy: 0.4529, prior_entropy: 2.4437, recall: 0.4529, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.9202, scimark_benchmark: 917.7039, usercpu_time_millis: 21180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 21170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.895, kappa: 0.8696, kb_relative_information_score: 2800.2318, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8953, predictive_accuracy: 0.8961, prior_entropy: 2.4437, recall: 0.8961, relative_absolute_error: 0.1302, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.5035, scimark_benchmark: 910.8389, usercpu_time_millis: 43589580, usercpu_time_millis_testing: 3390, usercpu_time_millis_training: 43586190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1339, kb_relative_information_score: 443.4901, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.0866, predictive_accuracy: 0.2943, prior_entropy: 2.4437, recall: 0.2943, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.485, root_relative_squared_error: 1.3286, scimark_benchmark: 947.9494, usercpu_time_millis: 3760, usercpu_time_millis_testing: 2480, usercpu_time_millis_training: 1280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.8365, kappa: 0.7966, kb_relative_information_score: 2381.2086, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8377, predictive_accuracy: 0.8383, prior_entropy: 2.4437, recall: 0.8383, relative_absolute_error: 0.3551, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.5477, scimark_benchmark: 943.2745, usercpu_time_millis: 9465390, usercpu_time_millis_testing: 690, usercpu_time_millis_training: 9464700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.6789, kappa: 0.5954, kb_relative_information_score: 1681.4646, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.6889, predictive_accuracy: 0.6813, prior_entropy: 2.4437, recall: 0.6813, relative_absolute_error: 0.5632, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.7496, scimark_benchmark: 930.32, usercpu_time_millis: 431840, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 431810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.7306, kappa: 0.6744, kb_relative_information_score: 1664.1086, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7389, predictive_accuracy: 0.7431, prior_entropy: 2.4437, recall: 0.7431, relative_absolute_error: 0.6237, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.7297, scimark_benchmark: 902.4773, usercpu_time_millis: 20680, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 20380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.9058, kappa: 0.883, kb_relative_information_score: 2842.0289, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.9059, predictive_accuracy: 0.9067, prior_entropy: 2.4437, recall: 0.9067, relative_absolute_error: 0.1166, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.4782, scimark_benchmark: 933.1776, usercpu_time_millis: 82261450, usercpu_time_millis_testing: 6250, usercpu_time_millis_training: 82255200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4976, f_measure: 0.1339, kb_relative_information_score: 0.5875, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.0866, predictive_accuracy: 0.2943, prior_entropy: 2.4437, recall: 0.2943, relative_absolute_error: 1, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.365, root_relative_squared_error: 1, scimark_benchmark: 932.3943, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.8224, kappa: 0.7776, kb_relative_information_score: 2262.7916, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8245, predictive_accuracy: 0.823, prior_entropy: 2.4437, recall: 0.823, relative_absolute_error: 0.3827, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.5896, scimark_benchmark: 910.8389, usercpu_time_millis: 2286330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2286320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.8224, kappa: 0.7776, kb_relative_information_score: 2262.7916, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8245, predictive_accuracy: 0.823, prior_entropy: 2.4437, recall: 0.823, relative_absolute_error: 0.3827, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.5896, scimark_benchmark: 911.3823, usercpu_time_millis: 2400690, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2400660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.8439, kappa: 0.8044, kb_relative_information_score: 2445.4055, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8454, predictive_accuracy: 0.8443, prior_entropy: 2.4437, recall: 0.8443, relative_absolute_error: 0.3108, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.5388, scimark_benchmark: 940.2922, usercpu_time_millis: 4529710, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4529700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.8769, kappa: 0.8458, kb_relative_information_score: 2598.4883, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8779, predictive_accuracy: 0.877, prior_entropy: 2.4437, recall: 0.877, relative_absolute_error: 0.2495, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.4909, scimark_benchmark: 911.3823, usercpu_time_millis: 9967470, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 9967460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.8821, kappa: 0.8522, kb_relative_information_score: 2700.7112, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8829, predictive_accuracy: 0.882, prior_entropy: 2.4437, recall: 0.882, relative_absolute_error: 0.2011, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.4682, scimark_benchmark: 897.6255, usercpu_time_millis: 18195700, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 18195690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6467, f_measure: 0.3339, kappa: 0.2388, kb_relative_information_score: 649.5962, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.2974, predictive_accuracy: 0.4529, prior_entropy: 2.4437, recall: 0.4529, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.9222, scimark_benchmark: 938.4285, usercpu_time_millis: 22420, usercpu_time_millis_training: 22420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6467, f_measure: 0.3339, kappa: 0.2388, kb_relative_information_score: 649.5962, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.2974, predictive_accuracy: 0.4529, prior_entropy: 2.4437, recall: 0.4529, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.9222, scimark_benchmark: 938.4285, usercpu_time_millis: 22450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 22440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6467, f_measure: 0.3339, kappa: 0.2388, kb_relative_information_score: 649.5962, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.2974, predictive_accuracy: 0.4529, prior_entropy: 2.4437, recall: 0.4529, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.9222, scimark_benchmark: 938.2848, usercpu_time_millis: 24850, usercpu_time_millis_training: 24850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.8364, kappa: 0.7975, kb_relative_information_score: 2374.5372, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8395, predictive_accuracy: 0.839, prior_entropy: 2.4437, recall: 0.839, relative_absolute_error: 0.3427, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.5595, scimark_benchmark: 936.7115, usercpu_time_millis: 68108000, usercpu_time_millis_testing: 1270, usercpu_time_millis_training: 68106730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6467, f_measure: 0.3339, kappa: 0.2388, kb_relative_information_score: 649.5962, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.2974, predictive_accuracy: 0.4529, prior_entropy: 2.4437, recall: 0.4529, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.9222, scimark_benchmark: 943.2817, usercpu_time_millis: 25160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 25150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6467, f_measure: 0.3339, kappa: 0.2388, kb_relative_information_score: 649.5962, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.2974, predictive_accuracy: 0.4529, prior_entropy: 2.4437, recall: 0.4529, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.9222, scimark_benchmark: 936.7115, usercpu_time_millis: 26270, usercpu_time_millis_training: 26270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.7846, kappa: 0.7341, kb_relative_information_score: 2409.4784, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7843, predictive_accuracy: 0.7868, prior_entropy: 2.4437, recall: 0.7868, relative_absolute_error: 0.274, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.685, scimark_benchmark: 922.9039, usercpu_time_millis: 4200830, usercpu_time_millis_testing: 1269090, usercpu_time_millis_training: 2931740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.7876, kappa: 0.7376, kb_relative_information_score: 2416.7825, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7874, predictive_accuracy: 0.7896, prior_entropy: 2.4437, recall: 0.7896, relative_absolute_error: 0.2712, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.6824, scimark_benchmark: 941.7954, usercpu_time_millis: 4213040, usercpu_time_millis_testing: 1269420, usercpu_time_millis_training: 2943620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.8957, kappa: 0.8693, kb_relative_information_score: 2782.3306, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8966, predictive_accuracy: 0.8958, prior_entropy: 2.4437, recall: 0.8958, relative_absolute_error: 0.1599, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.4502, scimark_benchmark: 929.566, usercpu_time_millis: 40402810, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40402800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8011, kappa: 0.7549, kb_relative_information_score: 2466.0257, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8005, predictive_accuracy: 0.8037, prior_entropy: 2.4437, recall: 0.8037, relative_absolute_error: 0.2471, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.6826, scimark_benchmark: 940.3346, usercpu_time_millis: 11673120, usercpu_time_millis_testing: 3687720, usercpu_time_millis_training: 7985400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.7861, kappa: 0.7351, kb_relative_information_score: 2416.811, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7886, predictive_accuracy: 0.7875, prior_entropy: 2.4437, recall: 0.7875, relative_absolute_error: 0.2698, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.6914, scimark_benchmark: 940.3346, usercpu_time_millis: 2692660, usercpu_time_millis_testing: 921100, usercpu_time_millis_training: 1771560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.7732, kappa: 0.7179, kb_relative_information_score: 2297.6025, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7732, predictive_accuracy: 0.7753, prior_entropy: 2.4437, recall: 0.7753, relative_absolute_error: 0.3132, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.7255, scimark_benchmark: 1503.3362, usercpu_time_millis: 525250, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 525210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4976, f_measure: 0.1339, kb_relative_information_score: 0.5875, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.0866, predictive_accuracy: 0.2943, prior_entropy: 2.4437, recall: 0.2943, relative_absolute_error: 1, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.365, root_relative_squared_error: 1, scimark_benchmark: 1505.597, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.9105, kappa: 0.8889, kb_relative_information_score: 2859.8255, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.9107, predictive_accuracy: 0.9114, prior_entropy: 2.4437, recall: 0.9114, relative_absolute_error: 0.1107, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.4679, scimark_benchmark: 931.4202, usercpu_time_millis: 184546170, usercpu_time_millis_testing: 17540, usercpu_time_millis_training: 184528630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.7414, kappa: 0.6762, kb_relative_information_score: 2220.0421, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7435, predictive_accuracy: 0.7422, prior_entropy: 2.4437, recall: 0.7422, relative_absolute_error: 0.3224, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.8031, scimark_benchmark: 1501.4698, usercpu_time_millis: 5540220, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 5540190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6141, f_measure: 0.3339, kappa: 0.2384, kb_relative_information_score: 965.5255, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.2979, predictive_accuracy: 0.4526, prior_entropy: 2.4437, recall: 0.4526, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.4272, root_relative_squared_error: 1.1702, scimark_benchmark: 1465.2979, usercpu_time_millis: 10400, usercpu_time_millis_training: 10400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.7874, kappa: 0.7361, kb_relative_information_score: 2368.3061, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7865, predictive_accuracy: 0.789, prior_entropy: 2.4437, recall: 0.789, relative_absolute_error: 0.2798, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.259, root_relative_squared_error: 0.7094, scimark_benchmark: 1341.2341, usercpu_time_millis: 1329010, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1328970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.0258, kappa: 0.0018, kb_relative_information_score: 58.9267, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.4798, predictive_accuracy: 0.1124, prior_entropy: 2.4437, recall: 0.1124, relative_absolute_error: 1.1101, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.5439, root_relative_squared_error: 1.4901, scimark_benchmark: 1339.4189, usercpu_time_millis: 1462390, usercpu_time_millis_testing: 265670, usercpu_time_millis_training: 1196720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.7718, kappa: 0.7149, kb_relative_information_score: 2176.6836, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7736, predictive_accuracy: 0.7734, prior_entropy: 2.4437, recall: 0.7734, relative_absolute_error: 0.3927, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.249, root_relative_squared_error: 0.6822, scimark_benchmark: 1307.3269, usercpu_time_millis: 1685000, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1684990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.7682, kappa: 0.7113, kb_relative_information_score: 2194.3626, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7702, predictive_accuracy: 0.7706, prior_entropy: 2.4437, recall: 0.7706, relative_absolute_error: 0.3852, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.6674, scimark_benchmark: 1280.6952, usercpu_time_millis: 159400, usercpu_time_millis_training: 159400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6803, f_measure: 0.4851, kappa: 0.358, kb_relative_information_score: 1279.7473, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.4859, predictive_accuracy: 0.4856, prior_entropy: 2.4437, recall: 0.4856, relative_absolute_error: 0.6433, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.4141, root_relative_squared_error: 1.1343, scimark_benchmark: 1315.0767, usercpu_time_millis: 1580, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.8034, kappa: 0.777, kb_relative_information_score: 1628.0264, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8452, predictive_accuracy: 0.8258, prior_entropy: 2.4437, recall: 0.8258, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.7037, scimark_benchmark: 1073.494, usercpu_time_millis: 122200, usercpu_time_millis_testing: 6190, usercpu_time_millis_training: 116010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.8574, kappa: 0.8218, kb_relative_information_score: 2667.3755, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8621, predictive_accuracy: 0.8571, prior_entropy: 2.4437, recall: 0.8571, relative_absolute_error: 0.1843, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.5693, scimark_benchmark: 1363.434, usercpu_time_millis: 79540, usercpu_time_millis_testing: 40670, usercpu_time_millis_training: 38870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.6422, kappa: 0.5796, kb_relative_information_score: 1920.4415, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7213, predictive_accuracy: 0.6742, prior_entropy: 2.4437, recall: 0.6742, relative_absolute_error: 0.4075, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.9028, scimark_benchmark: 1315.395, usercpu_time_millis: 10029580, usercpu_time_millis_testing: 5461750, usercpu_time_millis_training: 4567830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8845, kappa: 0.8555, kb_relative_information_score: 2758.763, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8848, predictive_accuracy: 0.8845, prior_entropy: 2.4437, recall: 0.8845, relative_absolute_error: 0.1444, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.5375, scimark_benchmark: 916.5955, usercpu_time_millis: 2140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.849, kappa: 0.811, kb_relative_information_score: 1022.9147, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8511, predictive_accuracy: 0.8489, prior_entropy: 2.4437, recall: 0.8489, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.8728, scimark_benchmark: 1386.5717, usercpu_time_millis: 20080, usercpu_time_millis_testing: 1700, usercpu_time_millis_training: 18380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.8763, kappa: 0.8459, kb_relative_information_score: 2624.8909, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8768, predictive_accuracy: 0.877, prior_entropy: 2.4437, recall: 0.877, relative_absolute_error: 0.2298, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.185, root_relative_squared_error: 0.5067, scimark_benchmark: 923.6051, usercpu_time_millis: 2506290, usercpu_time_millis_testing: 8960, usercpu_time_millis_training: 2497330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.6413, kappa: 0.5601, kb_relative_information_score: 743.0288, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7382, predictive_accuracy: 0.6598, prior_entropy: 2.4437, recall: 0.6598, relative_absolute_error: 0.8966, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.9207, scimark_benchmark: 939.5088, usercpu_time_millis: 147410, usercpu_time_millis_testing: 110210, usercpu_time_millis_training: 37200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, f_measure: 0.3306, kappa: 0.2268, kb_relative_information_score: 1054.2734, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.6349, predictive_accuracy: 0.3539, prior_entropy: 2.4437, recall: 0.3539, relative_absolute_error: 0.7856, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.4104, root_relative_squared_error: 1.1243, scimark_benchmark: 1324.8395, usercpu_time_millis: 63050, usercpu_time_millis_testing: 63040, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.2723, kappa: 0.1856, kb_relative_information_score: 946.2587, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.608, predictive_accuracy: 0.3165, prior_entropy: 2.4437, recall: 0.3165, relative_absolute_error: 0.8232, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.4156, root_relative_squared_error: 1.1386, scimark_benchmark: 1287.514, usercpu_time_millis: 65180, usercpu_time_millis_testing: 65180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6467, f_measure: 0.3339, kappa: 0.2388, kb_relative_information_score: 649.5962, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.2974, predictive_accuracy: 0.4529, prior_entropy: 2.4437, recall: 0.4529, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.9222, scimark_benchmark: 1336.3256, usercpu_time_millis: 21000, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6467, f_measure: 0.3339, kappa: 0.2388, kb_relative_information_score: 649.5962, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.2974, predictive_accuracy: 0.4529, prior_entropy: 2.4437, recall: 0.4529, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.9222, scimark_benchmark: 943.1756, usercpu_time_millis: 25760, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 25750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6467, f_measure: 0.3339, kappa: 0.2388, kb_relative_information_score: 649.5962, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.2974, predictive_accuracy: 0.4529, prior_entropy: 2.4437, recall: 0.4529, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.9222, scimark_benchmark: 1287.514, usercpu_time_millis: 25120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 25110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6467, f_measure: 0.3339, kappa: 0.2388, kb_relative_information_score: 649.5962, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.2974, predictive_accuracy: 0.4529, prior_entropy: 2.4437, recall: 0.4529, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.9222, scimark_benchmark: 918.0213, usercpu_time_millis: 24780, usercpu_time_millis_training: 24780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6467, f_measure: 0.3339, kappa: 0.2388, kb_relative_information_score: 649.5962, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.2974, predictive_accuracy: 0.4529, prior_entropy: 2.4437, recall: 0.4529, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.9222, scimark_benchmark: 1304.9611, usercpu_time_millis: 22860, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 22850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.781, kappa: 0.7273, kb_relative_information_score: 2292.7122, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7807, predictive_accuracy: 0.7825, prior_entropy: 2.4437, recall: 0.7825, relative_absolute_error: 0.3366, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.6845, scimark_benchmark: 939.9176, usercpu_time_millis: 2044630, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2044590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.8224, kappa: 0.7776, kb_relative_information_score: 2262.7916, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8245, predictive_accuracy: 0.823, prior_entropy: 2.4437, recall: 0.823, relative_absolute_error: 0.3827, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.5896, scimark_benchmark: 880.8372, usercpu_time_millis: 2076170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2076160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.8439, kappa: 0.8044, kb_relative_information_score: 2445.4055, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8454, predictive_accuracy: 0.8443, prior_entropy: 2.4437, recall: 0.8443, relative_absolute_error: 0.3108, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.5388, scimark_benchmark: 1368.9272, usercpu_time_millis: 3022990, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3022980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.8344, kappa: 0.7955, kb_relative_information_score: 2134.2975, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8419, predictive_accuracy: 0.838, prior_entropy: 2.4437, recall: 0.838, relative_absolute_error: 0.4665, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.5953, scimark_benchmark: 1324.8395, usercpu_time_millis: 849580, usercpu_time_millis_testing: 12680, usercpu_time_millis_training: 836900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.83, kappa: 0.7906, kb_relative_information_score: 2133.5679, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8409, predictive_accuracy: 0.8343, prior_entropy: 2.4437, recall: 0.8343, relative_absolute_error: 0.4682, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.5912, scimark_benchmark: 1353.1316, usercpu_time_millis: 1762460, usercpu_time_millis_testing: 25360, usercpu_time_millis_training: 1737100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.6448, kappa: 0.5841, kb_relative_information_score: 1752.3379, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.638, predictive_accuracy: 0.6685, prior_entropy: 2.4437, recall: 0.6685, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.7572, scimark_benchmark: 1316.781, usercpu_time_millis: 1014700, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1014690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.2833, kappa: 0.1833, kb_relative_information_score: 769.5526, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.6193, predictive_accuracy: 0.3074, prior_entropy: 2.4437, recall: 0.3074, relative_absolute_error: 0.8422, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.1059, scimark_benchmark: 854.5188, usercpu_time_millis: 54707340, usercpu_time_millis_testing: 54707340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.8769, kappa: 0.8458, kb_relative_information_score: 2598.4883, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8779, predictive_accuracy: 0.877, prior_entropy: 2.4437, recall: 0.877, relative_absolute_error: 0.2495, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.4909, scimark_benchmark: 1324.9597, usercpu_time_millis: 12887110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 12887100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.7569, kappa: 0.6977, kb_relative_information_score: 2302.4067, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7671, predictive_accuracy: 0.7559, prior_entropy: 2.4437, recall: 0.7559, relative_absolute_error: 0.3047, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.7766, scimark_benchmark: 1297.6356, usercpu_time_millis: 132750, usercpu_time_millis_testing: 109380, usercpu_time_millis_training: 23370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.7396, kappa: 0.6755, kb_relative_information_score: 2241.2202, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7584, predictive_accuracy: 0.7369, prior_entropy: 2.4437, recall: 0.7369, relative_absolute_error: 0.3291, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2946, root_relative_squared_error: 0.8069, scimark_benchmark: 986.8456, usercpu_time_millis: 163880, usercpu_time_millis_testing: 122110, usercpu_time_millis_training: 41770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.764, kappa: 0.7071, kb_relative_information_score: 2266.57, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.764, predictive_accuracy: 0.7662, prior_entropy: 2.4437, recall: 0.7662, relative_absolute_error: 0.3331, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.264, root_relative_squared_error: 0.7233, scimark_benchmark: 922.1419, usercpu_time_millis: 484510, usercpu_time_millis_testing: 3190, usercpu_time_millis_training: 481320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.7732, kappa: 0.7179, kb_relative_information_score: 2297.6025, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7732, predictive_accuracy: 0.7753, prior_entropy: 2.4437, recall: 0.7753, relative_absolute_error: 0.3132, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.7255, scimark_benchmark: 977.7786, usercpu_time_millis: 833170, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 833130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6632, f_measure: 0.4534, kappa: 0.3223, kb_relative_information_score: 1194.6483, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.6056, predictive_accuracy: 0.4441, prior_entropy: 2.4437, recall: 0.4441, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.43, root_relative_squared_error: 1.178, scimark_benchmark: 1099.1915, usercpu_time_millis: 51580, usercpu_time_millis_testing: 51560, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.7682, kappa: 0.7113, kb_relative_information_score: 2194.3626, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7702, predictive_accuracy: 0.7706, prior_entropy: 2.4437, recall: 0.7706, relative_absolute_error: 0.3852, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.6674, scimark_benchmark: 1286.1766, usercpu_time_millis: 144140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 144130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.8034, kappa: 0.777, kb_relative_information_score: 1628.0264, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8452, predictive_accuracy: 0.8258, prior_entropy: 2.4437, recall: 0.8258, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.7037, scimark_benchmark: 1100.8929, usercpu_time_millis: 137320, usercpu_time_millis_testing: 3700, usercpu_time_millis_training: 133620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5869, f_measure: 0.2465, kappa: 0.1633, kb_relative_information_score: 621.2276, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7305, predictive_accuracy: 0.26, prior_entropy: 2.4437, recall: 0.26, relative_absolute_error: 0.9255, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.4967, root_relative_squared_error: 1.3606, scimark_benchmark: 1146.0556, usercpu_time_millis: 151440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 151430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.7569, kappa: 0.6977, kb_relative_information_score: 2302.4067, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7671, predictive_accuracy: 0.7559, prior_entropy: 2.4437, recall: 0.7559, relative_absolute_error: 0.3047, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.7766, scimark_benchmark: 1068.4896, usercpu_time_millis: 158290, usercpu_time_millis_testing: 134070, usercpu_time_millis_training: 24220,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SGD: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.789, kappa: 0.7343, kb_relative_information_score: 2229.4216, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7928, predictive_accuracy: 0.7893, prior_entropy: 2.4437, recall: 0.7893, relative_absolute_error: 0.369, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.6675, scimark_benchmark: 1318.3624, usercpu_time_millis: 2610010, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2609990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.789, kappa: 0.7343, kb_relative_information_score: 2229.4216, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7928, predictive_accuracy: 0.7893, prior_entropy: 2.4437, recall: 0.7893, relative_absolute_error: 0.369, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.6675, scimark_benchmark: 881.381, usercpu_time_millis: 3136590, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3136560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.849, kappa: 0.811, kb_relative_information_score: 1022.9147, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8511, predictive_accuracy: 0.8489, prior_entropy: 2.4437, recall: 0.8489, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.8728, scimark_benchmark: 869.4175, usercpu_time_millis: 29260, usercpu_time_millis_testing: 2940, usercpu_time_millis_training: 26320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.2723, kappa: 0.1856, kb_relative_information_score: 946.2587, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.608, predictive_accuracy: 0.3165, prior_entropy: 2.4437, recall: 0.3165, relative_absolute_error: 0.8232, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.4156, root_relative_squared_error: 1.1386, scimark_benchmark: 1120.0909, usercpu_time_millis: 59400, usercpu_time_millis_testing: 59390, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7154, f_measure: 0.2383, kappa: 0.1593, kb_relative_information_score: 836.7588, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.6497, predictive_accuracy: 0.2924, prior_entropy: 2.4437, recall: 0.2924, relative_absolute_error: 0.8578, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.4208, root_relative_squared_error: 1.1527, scimark_benchmark: 1367.3866, usercpu_time_millis: 52580, usercpu_time_millis_testing: 52570, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.7703, kappa: 0.7101, kb_relative_information_score: 2321.4968, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.776, predictive_accuracy: 0.7678, prior_entropy: 2.4437, recall: 0.7678, relative_absolute_error: 0.2952, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.7521, scimark_benchmark: 767.5966, usercpu_time_millis: 2472560, usercpu_time_millis_testing: 1960, usercpu_time_millis_training: 2470600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.6995, kappa: 0.6229, kb_relative_information_score: 2059.1408, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7432, predictive_accuracy: 0.6919, prior_entropy: 2.4437, recall: 0.6919, relative_absolute_error: 0.3904, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.8258, scimark_benchmark: 559.0969, usercpu_time_millis: 2837140, usercpu_time_millis_testing: 640, usercpu_time_millis_training: 2836500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.8525, kappa: 0.8183, kb_relative_information_score: 2372.3572, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8539, predictive_accuracy: 0.8555, prior_entropy: 2.4437, recall: 0.8555, relative_absolute_error: 0.3594, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.5406, scimark_benchmark: 1121.3969, usercpu_time_millis: 2951110, usercpu_time_millis_testing: 810, usercpu_time_millis_training: 2950300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.6837, kappa: 0.6213, kb_relative_information_score: 2071.9206, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.724, predictive_accuracy: 0.6898, prior_entropy: 2.4437, recall: 0.6898, relative_absolute_error: 0.3863, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3153, root_relative_squared_error: 0.8637, scimark_benchmark: 1132.4865, usercpu_time_millis: 1864530, usercpu_time_millis_testing: 480, usercpu_time_millis_training: 1864050,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SGD: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.7687, kappa: 0.7136, kb_relative_information_score: 2177.9528, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7716, predictive_accuracy: 0.7718, prior_entropy: 2.4437, recall: 0.7718, relative_absolute_error: 0.3995, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.6659, scimark_benchmark: 872.7191, usercpu_time_millis: 2825550, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2825510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.7732, kappa: 0.7143, kb_relative_information_score: 2293.8883, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7804, predictive_accuracy: 0.7709, prior_entropy: 2.4437, recall: 0.7709, relative_absolute_error: 0.358, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.6456, scimark_benchmark: 1197.9562, usercpu_time_millis: 1521510, usercpu_time_millis_testing: 1720, usercpu_time_millis_training: 1519790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6869, f_measure: 0.325, kappa: 0.2229, kb_relative_information_score: 1147.0143, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.6389, predictive_accuracy: 0.3502, prior_entropy: 2.4437, recall: 0.3502, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.4094, root_relative_squared_error: 1.1216, scimark_benchmark: 1169.4871, usercpu_time_millis: 60700, usercpu_time_millis_testing: 60690, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.7674, kappa: 0.7051, kb_relative_information_score: 2217.8027, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7796, predictive_accuracy: 0.7637, prior_entropy: 2.4437, recall: 0.7637, relative_absolute_error: 0.3941, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.6485, scimark_benchmark: 1140.5692, usercpu_time_millis: 1957930, usercpu_time_millis_testing: 2450, usercpu_time_millis_training: 1955480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.7514, kappa: 0.6917, kb_relative_information_score: 2355.3222, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7605, predictive_accuracy: 0.7519, prior_entropy: 2.4437, recall: 0.7519, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.6831, scimark_benchmark: 746.4969, usercpu_time_millis: 2789330, usercpu_time_millis_testing: 2520, usercpu_time_millis_training: 2786810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6467, f_measure: 0.3339, kappa: 0.2388, kb_relative_information_score: 649.5962, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.2974, predictive_accuracy: 0.4529, prior_entropy: 2.4437, recall: 0.4529, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.9222, scimark_benchmark: 705.2281, usercpu_time_millis: 34610, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 34600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, f_measure: 0.1339, kb_relative_information_score: 59.8728, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.0866, predictive_accuracy: 0.2943, prior_entropy: 2.4437, recall: 0.2943, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3659, root_relative_squared_error: 1.0023, scimark_benchmark: 1405.2191, usercpu_time_millis: 7468240, usercpu_time_millis_testing: 1241200, usercpu_time_millis_training: 6227040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7183, f_measure: 0.3746, kappa: 0.3061, kb_relative_information_score: 876.8731, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.3648, predictive_accuracy: 0.5, prior_entropy: 2.4437, recall: 0.5, relative_absolute_error: 0.7791, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.8787, scimark_benchmark: 1085.1655, usercpu_time_millis: 2252830, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 2252550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6632, f_measure: 0.4534, kappa: 0.3223, kb_relative_information_score: 1194.6483, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.6056, predictive_accuracy: 0.4441, prior_entropy: 2.4437, recall: 0.4441, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.43, root_relative_squared_error: 1.178, scimark_benchmark: 1718.9457, usercpu_time_millis: 38400, usercpu_time_millis_testing: 27350, usercpu_time_millis_training: 11050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.7569, kappa: 0.6977, kb_relative_information_score: 2302.4067, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7671, predictive_accuracy: 0.7559, prior_entropy: 2.4437, recall: 0.7559, relative_absolute_error: 0.3047, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.7766, scimark_benchmark: 1804.8679, usercpu_time_millis: 113410, usercpu_time_millis_testing: 91660, usercpu_time_millis_training: 21750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.7682, kappa: 0.7114, kb_relative_information_score: 2204.1993, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7689, predictive_accuracy: 0.7703, prior_entropy: 2.4437, recall: 0.7703, relative_absolute_error: 0.38, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.6856, scimark_benchmark: 949.2748, usercpu_time_millis: 607840, usercpu_time_millis_testing: 8240, usercpu_time_millis_training: 599600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.8776, kappa: 0.8514, kb_relative_information_score: 2193.04, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8893, predictive_accuracy: 0.8823, prior_entropy: 2.4437, recall: 0.8823, relative_absolute_error: 0.4538, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.5601, scimark_benchmark: 1527.5001, usercpu_time_millis: 1507800, usercpu_time_millis_testing: 11300, usercpu_time_millis_training: 1496500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.7569, kappa: 0.6977, kb_relative_information_score: 2302.4067, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7671, predictive_accuracy: 0.7559, prior_entropy: 2.4437, recall: 0.7559, relative_absolute_error: 0.3047, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.7766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.7608, kappa: 0.7022, kb_relative_information_score: 2278.9322, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7601, predictive_accuracy: 0.7625, prior_entropy: 2.4437, recall: 0.7625, relative_absolute_error: 0.3103, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2791, root_relative_squared_error: 0.7644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.781, kappa: 0.7273, kb_relative_information_score: 2292.7122, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7807, predictive_accuracy: 0.7825, prior_entropy: 2.4437, recall: 0.7825, relative_absolute_error: 0.3366, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.6845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.6995, kappa: 0.6229, kb_relative_information_score: 2059.1408, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7432, predictive_accuracy: 0.6919, prior_entropy: 2.4437, recall: 0.6919, relative_absolute_error: 0.3904, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.8258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6467, f_measure: 0.3339, kappa: 0.2388, kb_relative_information_score: 649.5962, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.2974, predictive_accuracy: 0.4529, prior_entropy: 2.4437, recall: 0.4529, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.9222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6141, f_measure: 0.3339, kappa: 0.2384, kb_relative_information_score: 965.5255, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.2979, predictive_accuracy: 0.4526, prior_entropy: 2.4437, recall: 0.4526, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.4272, root_relative_squared_error: 1.1702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5869, f_measure: 0.2465, kappa: 0.1633, kb_relative_information_score: 621.2276, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7305, predictive_accuracy: 0.26, prior_entropy: 2.4437, recall: 0.26, relative_absolute_error: 0.9255, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.4967, root_relative_squared_error: 1.3606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.7682, kappa: 0.7113, kb_relative_information_score: 2194.3626, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7702, predictive_accuracy: 0.7706, prior_entropy: 2.4437, recall: 0.7706, relative_absolute_error: 0.3852, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.6674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6637, f_measure: 0.4534, kappa: 0.3223, kb_relative_information_score: 1195.7393, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.6056, predictive_accuracy: 0.4441, prior_entropy: 2.4437, recall: 0.4441, relative_absolute_error: 0.6952, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.4305, root_relative_squared_error: 1.1792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4976, f_measure: 0.1339, kb_relative_information_score: 0.5875, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.0866, predictive_accuracy: 0.2943, prior_entropy: 2.4437, recall: 0.2943, relative_absolute_error: 1, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.365, root_relative_squared_error: 1,

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