Task
Supervised Classification on covertype

Supervised Classification on covertype

Task 2072 Supervised Classification covertype 159 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.8169, kappa: 0.7177, kb_relative_information_score: 76944.3715, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8167, predictive_accuracy: 0.817, prior_entropy: 1.8698, recall: 0.817, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.229, root_relative_squared_error: 0.7525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7396, kappa: 0.6004, kb_relative_information_score: 62186.168, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.745, predictive_accuracy: 0.7497, prior_entropy: 1.8698, recall: 0.7497, relative_absolute_error: 0.4862, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.232, root_relative_squared_error: 0.7621, scimark_benchmark: 1237.8253, usercpu_time_millis: 2384470, usercpu_time_millis_testing: 2860, usercpu_time_millis_training: 2381610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.6519, kappa: 0.4685, kb_relative_information_score: 50902.3928, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6546, predictive_accuracy: 0.6538, prior_entropy: 1.8698, recall: 0.6538, relative_absolute_error: 0.6466, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2651, root_relative_squared_error: 0.8711, scimark_benchmark: 1228.3512, usercpu_time_millis: 6110, usercpu_time_millis_testing: 3780, usercpu_time_millis_training: 2330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.842, kappa: 0.757, kb_relative_information_score: 80676.1114, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8412, predictive_accuracy: 0.8429, prior_entropy: 1.8698, recall: 0.8429, relative_absolute_error: 0.25, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.6975, scimark_benchmark: 473.1656, usercpu_time_millis: 3825580, usercpu_time_millis_testing: 3825470, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.846, kappa: 0.764, kb_relative_information_score: 78102.8883, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8466, predictive_accuracy: 0.8499, prior_entropy: 1.8698, recall: 0.8499, relative_absolute_error: 0.3075, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.6511, scimark_benchmark: 473.1656, usercpu_time_millis: 416310, usercpu_time_millis_testing: 1340, usercpu_time_millis_training: 414970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.666, kappa: 0.497, kb_relative_information_score: 47675.5191, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6606, predictive_accuracy: 0.6875, prior_entropy: 1.8698, recall: 0.6875, relative_absolute_error: 0.6878, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2505, root_relative_squared_error: 0.8231, scimark_benchmark: 1254.1389, usercpu_time_millis: 1024780, usercpu_time_millis_testing: 630, usercpu_time_millis_training: 1024150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.6312, kappa: 0.4289, kb_relative_information_score: 45362.6226, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6376, predictive_accuracy: 0.6382, prior_entropy: 1.8698, recall: 0.6382, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.9071, scimark_benchmark: 473.1656, usercpu_time_millis: 22030, usercpu_time_millis_testing: 6130, usercpu_time_millis_training: 15900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5936, f_measure: 0.3238, kappa: 0.0646, kb_relative_information_score: 17900.3231, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.2484, predictive_accuracy: 0.4679, prior_entropy: 1.8698, recall: 0.4679, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.9673, scimark_benchmark: 479.2609, usercpu_time_millis: 5510, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 5200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.6217, kappa: 0.4308, kb_relative_information_score: 46210.9443, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6233, predictive_accuracy: 0.6251, prior_entropy: 1.8698, recall: 0.6251, relative_absolute_error: 0.6958, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.9104, scimark_benchmark: 1230.3004, usercpu_time_millis: 6090, usercpu_time_millis_testing: 5470, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.6217, kappa: 0.4308, kb_relative_information_score: 46210.9443, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6233, predictive_accuracy: 0.6251, prior_entropy: 1.8698, recall: 0.6251, relative_absolute_error: 0.6958, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.9104, scimark_benchmark: 1230.3004, usercpu_time_millis: 6000, usercpu_time_millis_testing: 5430, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.6519, kappa: 0.4685, kb_relative_information_score: 50920.2152, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6547, predictive_accuracy: 0.6538, prior_entropy: 1.8698, recall: 0.6538, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2651, root_relative_squared_error: 0.8711, scimark_benchmark: 1230.3004, usercpu_time_millis: 6590, usercpu_time_millis_testing: 2690, usercpu_time_millis_training: 3900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.2986, kb_relative_information_score: 0.5858, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.2192, predictive_accuracy: 0.4682, prior_entropy: 1.8698, recall: 0.4682, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.3044, root_relative_squared_error: 1, scimark_benchmark: 1241.5236, usercpu_time_millis: 110, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.2986, kb_relative_information_score: 0.5858, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.2192, predictive_accuracy: 0.4682, prior_entropy: 1.8698, recall: 0.4682, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.3044, root_relative_squared_error: 1, scimark_benchmark: 1248.2165, usercpu_time_millis: 120, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.6226, kappa: 0.432, kb_relative_information_score: 37238.4087, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6321, predictive_accuracy: 0.626, prior_entropy: 1.8698, recall: 0.626, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.9371, scimark_benchmark: 942.3168, usercpu_time_millis: 101980, usercpu_time_millis_testing: 35700, usercpu_time_millis_training: 66280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7505, f_measure: 0.6242, kappa: 0.4342, kb_relative_information_score: 29973.5334, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6351, predictive_accuracy: 0.6276, prior_entropy: 1.8698, recall: 0.6276, relative_absolute_error: 0.8864, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.9501, scimark_benchmark: 942.6953, usercpu_time_millis: 200030, usercpu_time_millis_testing: 64130, usercpu_time_millis_training: 135900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.754, f_measure: 0.6217, kappa: 0.4308, kb_relative_information_score: 2108.3228, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6233, predictive_accuracy: 0.6251, prior_entropy: 1.8698, recall: 0.6251, relative_absolute_error: 1.207, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.3222, root_relative_squared_error: 1.0585, scimark_benchmark: 922.9039, usercpu_time_millis: 74090, usercpu_time_millis_testing: 22080, usercpu_time_millis_training: 52010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.754, f_measure: 0.6217, kappa: 0.4308, kb_relative_information_score: 2108.3228, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6233, predictive_accuracy: 0.6251, prior_entropy: 1.8698, recall: 0.6251, relative_absolute_error: 1.207, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.3222, root_relative_squared_error: 1.0585, scimark_benchmark: 942.1229, usercpu_time_millis: 72180, usercpu_time_millis_testing: 21700, usercpu_time_millis_training: 50480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.754, f_measure: 0.6217, kappa: 0.4308, kb_relative_information_score: 2108.3228, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6233, predictive_accuracy: 0.6251, prior_entropy: 1.8698, recall: 0.6251, relative_absolute_error: 1.207, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.3222, root_relative_squared_error: 1.0585, scimark_benchmark: 940.2922, usercpu_time_millis: 72150, usercpu_time_millis_testing: 21830, usercpu_time_millis_training: 50320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5936, f_measure: 0.3238, kappa: 0.0646, kb_relative_information_score: 17900.3231, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.2484, predictive_accuracy: 0.4679, prior_entropy: 1.8698, recall: 0.4679, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.9673, scimark_benchmark: 922.9039, usercpu_time_millis: 2370, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 2280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5936, f_measure: 0.3238, kappa: 0.0646, kb_relative_information_score: 17900.3231, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.2484, predictive_accuracy: 0.4679, prior_entropy: 1.8698, recall: 0.4679, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.9673, scimark_benchmark: 943.2817, usercpu_time_millis: 2850, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 2750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5936, f_measure: 0.3238, kappa: 0.0646, kb_relative_information_score: 17900.3231, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.2484, predictive_accuracy: 0.4679, prior_entropy: 1.8698, recall: 0.4679, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.9673, scimark_benchmark: 945.6434, usercpu_time_millis: 2650, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 2560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5936, f_measure: 0.3238, kappa: 0.0646, kb_relative_information_score: 17900.3231, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.2484, predictive_accuracy: 0.4679, prior_entropy: 1.8698, recall: 0.4679, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.9673, scimark_benchmark: 938.2848, usercpu_time_millis: 2280, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 2190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5936, f_measure: 0.3238, kappa: 0.0646, kb_relative_information_score: 17900.3231, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.2484, predictive_accuracy: 0.4679, prior_entropy: 1.8698, recall: 0.4679, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.9673, scimark_benchmark: 923.7642, usercpu_time_millis: 2630, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 2540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.67, kappa: 0.4944, kb_relative_information_score: 48264.2201, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6852, predictive_accuracy: 0.687, prior_entropy: 1.8698, recall: 0.687, relative_absolute_error: 0.6803, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.825, scimark_benchmark: 943.2817, usercpu_time_millis: 243080, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 242900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.6516, kappa: 0.4695, kb_relative_information_score: 45614.788, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6625, predictive_accuracy: 0.6711, prior_entropy: 1.8698, recall: 0.6711, relative_absolute_error: 0.7027, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2562, root_relative_squared_error: 0.8416, scimark_benchmark: 930.32, usercpu_time_millis: 130990, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 130810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.2986, kb_relative_information_score: 0.5858, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.2192, predictive_accuracy: 0.4682, prior_entropy: 1.8698, recall: 0.4682, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.3044, root_relative_squared_error: 1, scimark_benchmark: 938.9865, usercpu_time_millis: 160, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8597, kappa: 0.7862, kb_relative_information_score: 77759.8955, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8594, predictive_accuracy: 0.8638, prior_entropy: 1.8698, recall: 0.8638, relative_absolute_error: 0.338, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.604, scimark_benchmark: 932.3943, usercpu_time_millis: 33110, usercpu_time_millis_testing: 1590, usercpu_time_millis_training: 31520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.6526, kappa: 0.4646, kb_relative_information_score: 45361.9574, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.651, predictive_accuracy: 0.667, prior_entropy: 1.8698, recall: 0.667, relative_absolute_error: 0.689, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.8539, scimark_benchmark: 902.4773, usercpu_time_millis: 17100, usercpu_time_millis_testing: 900, usercpu_time_millis_training: 16200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.6516, kappa: 0.4695, kb_relative_information_score: 45614.788, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6625, predictive_accuracy: 0.6711, prior_entropy: 1.8698, recall: 0.6711, relative_absolute_error: 0.7027, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2562, root_relative_squared_error: 0.8416, scimark_benchmark: 947.9494, usercpu_time_millis: 125520, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 124990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2986, kb_relative_information_score: 16510.4958, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.2192, predictive_accuracy: 0.4682, prior_entropy: 1.8698, recall: 0.4682, relative_absolute_error: 0.8201, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.3898, root_relative_squared_error: 1.2807, scimark_benchmark: 929.0255, usercpu_time_millis: 760, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.8478, kappa: 0.7668, kb_relative_information_score: 78370.2856, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8484, predictive_accuracy: 0.8517, prior_entropy: 1.8698, recall: 0.8517, relative_absolute_error: 0.3077, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.6364, scimark_benchmark: 929.566, usercpu_time_millis: 10782710, usercpu_time_millis_testing: 8810, usercpu_time_millis_training: 10773900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.8775, kappa: 0.814, kb_relative_information_score: 79144.7449, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8813, predictive_accuracy: 0.8823, prior_entropy: 1.8698, recall: 0.8823, relative_absolute_error: 0.3304, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.5497, scimark_benchmark: 910.8389, usercpu_time_millis: 2637620, usercpu_time_millis_testing: 15610, usercpu_time_millis_training: 2622010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6839, f_measure: 0.3642, kappa: 0.0558, kb_relative_information_score: 18273.269, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.4476, predictive_accuracy: 0.4821, prior_entropy: 1.8698, recall: 0.4821, relative_absolute_error: 0.932, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.9599, scimark_benchmark: 901.0726, usercpu_time_millis: 950, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, build_cpu_time: 2640.2226, build_memory: 2246141794.5395, f_measure: 0.884, kappa: 0.8239, kb_relative_information_score: 79311.9441, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.887, predictive_accuracy: 0.8884, prior_entropy: 1.8698, recall: 0.8884, relative_absolute_error: 0.3337, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.5466, scimark_benchmark: 932.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, build_cpu_time: 2200.5961, build_memory: 1390274438.3506, f_measure: 0.8812, kappa: 0.8194, kb_relative_information_score: 79146.7751, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.884, predictive_accuracy: 0.8856, prior_entropy: 1.8698, recall: 0.8856, relative_absolute_error: 0.3339, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.5527, scimark_benchmark: 892.5198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.8812, kappa: 0.8194, kb_relative_information_score: 79146.7751, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.884, predictive_accuracy: 0.8856, prior_entropy: 1.8698, recall: 0.8856, relative_absolute_error: 0.3339, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.5527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, build_cpu_time: 1297.8144, build_memory: 1703590010.1838, f_measure: 0.8812, kappa: 0.8194, kb_relative_information_score: 79146.7751, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.884, predictive_accuracy: 0.8856, prior_entropy: 1.8698, recall: 0.8856, relative_absolute_error: 0.3339, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.5527, scimark_benchmark: 946.4302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, build_cpu_time: 1256.1431, build_memory: 1550787656.8937, f_measure: 0.8812, kappa: 0.8194, kb_relative_information_score: 79146.7751, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.884, predictive_accuracy: 0.8856, prior_entropy: 1.8698, recall: 0.8856, relative_absolute_error: 0.3339, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.5527, scimark_benchmark: 946.1103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, build_cpu_time: 1238.2514, build_memory: 1490196274.6611, f_measure: 0.8812, kappa: 0.8194, kb_relative_information_score: 79146.7751, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.884, predictive_accuracy: 0.8856, prior_entropy: 1.8698, recall: 0.8856, relative_absolute_error: 0.3339, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.5527, scimark_benchmark: 917.3683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, build_cpu_time: 1225.7242, build_memory: 1483329628.3786, f_measure: 0.8812, kappa: 0.8194, kb_relative_information_score: 79146.7751, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.884, predictive_accuracy: 0.8856, prior_entropy: 1.8698, recall: 0.8856, relative_absolute_error: 0.3339, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.5527, scimark_benchmark: 869.1832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, build_cpu_time: 1218.0488, build_memory: 1775560401.3558, f_measure: 0.8812, kappa: 0.8194, kb_relative_information_score: 79146.7751, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.884, predictive_accuracy: 0.8856, prior_entropy: 1.8698, recall: 0.8856, relative_absolute_error: 0.3339, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.5527, scimark_benchmark: 928.8392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.8812, kappa: 0.8194, kb_relative_information_score: 79146.7751, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.884, predictive_accuracy: 0.8856, prior_entropy: 1.8698, recall: 0.8856, relative_absolute_error: 0.3339, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.5527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.8354, kappa: 0.7458, kb_relative_information_score: 80675.6135, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8363, predictive_accuracy: 0.8346, prior_entropy: 1.8698, recall: 0.8346, relative_absolute_error: 0.2499, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.6975, scimark_benchmark: 945.0105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.6307, kappa: 0.4428, kb_relative_information_score: 42235.793, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6434, predictive_accuracy: 0.6578, prior_entropy: 1.8698, recall: 0.6578, relative_absolute_error: 0.7394, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.8597, scimark_benchmark: 592.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.6159, kappa: 0.4146, kb_relative_information_score: 44739.9953, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6074, predictive_accuracy: 0.6416, prior_entropy: 1.8698, recall: 0.6416, relative_absolute_error: 0.5527, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.32, root_relative_squared_error: 1.0513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.7554, kappa: 0.6219, kb_relative_information_score: 32282.1355, mean_absolute_error: 0.1641, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.7595, predictive_accuracy: 0.7621, prior_entropy: 1.8698, recall: 0.7621, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.8553, scimark_benchmark: 894.8055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.842, kappa: 0.757, kb_relative_information_score: 80676.1114, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8412, predictive_accuracy: 0.8429, prior_entropy: 1.8698, recall: 0.8429, relative_absolute_error: 0.25, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.6975, scimark_benchmark: 596.2512,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.8229, kappa: 0.7276, kb_relative_information_score: 66735.5262, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8369, predictive_accuracy: 0.8303, prior_entropy: 1.8698, recall: 0.8303, relative_absolute_error: 0.4872, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.6513, scimark_benchmark: 897.7074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.5976, kappa: 0.3888, kb_relative_information_score: 1708.0425, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6223, predictive_accuracy: 0.6439, prior_entropy: 1.8698, recall: 0.6439, relative_absolute_error: 1.1509, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.316, root_relative_squared_error: 1.0383, scimark_benchmark: 593.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.6447, kappa: 0.4633, kb_relative_information_score: 43986.9082, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6578, predictive_accuracy: 0.666, prior_entropy: 1.8698, recall: 0.666, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.8499, scimark_benchmark: 938.6916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5936, f_measure: 0.3238, kappa: 0.0646, kb_relative_information_score: 17900.3231, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.2484, predictive_accuracy: 0.4679, prior_entropy: 1.8698, recall: 0.4679, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.9673, scimark_benchmark: 574.5997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.8447, kappa: 0.762, kb_relative_information_score: 77319.6496, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8459, predictive_accuracy: 0.8489, prior_entropy: 1.8698, recall: 0.8489, relative_absolute_error: 0.3192, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.198, root_relative_squared_error: 0.6505, scimark_benchmark: 901.1965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.6466, kappa: 0.4628, kb_relative_information_score: 49917.4975, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6502, predictive_accuracy: 0.6481, prior_entropy: 1.8698, recall: 0.6481, relative_absolute_error: 0.6608, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.8819, scimark_benchmark: 894.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.6217, kappa: 0.4308, kb_relative_information_score: 46210.9443, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6233, predictive_accuracy: 0.6251, prior_entropy: 1.8698, recall: 0.6251, relative_absolute_error: 0.6958, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.9104, scimark_benchmark: 947.9874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.8702, kappa: 0.8023, kb_relative_information_score: 85202.8626, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8718, predictive_accuracy: 0.8746, prior_entropy: 1.8698, recall: 0.8746, relative_absolute_error: 0.2144, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.175, root_relative_squared_error: 0.575, scimark_benchmark: 947.1258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.6939, kappa: 0.5441, kb_relative_information_score: 8333.1313, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.7195, predictive_accuracy: 0.7168, prior_entropy: 1.8698, recall: 0.7168, relative_absolute_error: 1.1336, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.3109, root_relative_squared_error: 1.0213, scimark_benchmark: 945.5382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.8456, kappa: 0.7634, kb_relative_information_score: 78535.4297, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8458, predictive_accuracy: 0.8494, prior_entropy: 1.8698, recall: 0.8494, relative_absolute_error: 0.3008, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.199, root_relative_squared_error: 0.6538, scimark_benchmark: 887.0844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.6634, kappa: 0.4941, kb_relative_information_score: 46287.9326, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6612, predictive_accuracy: 0.6861, prior_entropy: 1.8698, recall: 0.6861, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.8276, scimark_benchmark: 885.8401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.8424, kappa: 0.7596, kb_relative_information_score: 9452.8419, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8477, predictive_accuracy: 0.8486, prior_entropy: 1.8698, recall: 0.8486, relative_absolute_error: 1.1221, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.3074, root_relative_squared_error: 1.0101, scimark_benchmark: 941.8536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.8354, kappa: 0.7458, kb_relative_information_score: 80662.1448, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8363, predictive_accuracy: 0.8346, prior_entropy: 1.8698, recall: 0.8346, relative_absolute_error: 0.2501, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.6976, scimark_benchmark: 923.1877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.8669, kappa: 0.7972, kb_relative_information_score: 84000.859, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8695, predictive_accuracy: 0.8715, prior_entropy: 1.8698, recall: 0.8715, relative_absolute_error: 0.2339, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.176, root_relative_squared_error: 0.5782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.7408, kappa: 0.6051, kb_relative_information_score: 52870.5271, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.7494, predictive_accuracy: 0.7534, prior_entropy: 1.8698, recall: 0.7534, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.7868, scimark_benchmark: 942.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.6519, kappa: 0.4685, kb_relative_information_score: 50910.2954, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6547, predictive_accuracy: 0.6538, prior_entropy: 1.8698, recall: 0.6538, relative_absolute_error: 0.6466, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.8713, scimark_benchmark: 944.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.858, kappa: 0.7833, kb_relative_information_score: 83510.9453, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.858, predictive_accuracy: 0.8622, prior_entropy: 1.8698, recall: 0.8622, relative_absolute_error: 0.2128, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.195, root_relative_squared_error: 0.6407, scimark_benchmark: 946.7165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.7656, kappa: 0.6447, kb_relative_information_score: 63654.1332, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.778, predictive_accuracy: 0.7781, prior_entropy: 1.8698, recall: 0.7781, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.7171, scimark_benchmark: 941.2483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.8298, kappa: 0.7403, kb_relative_information_score: 9508.9819, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8358, predictive_accuracy: 0.8366, prior_entropy: 1.8698, recall: 0.8366, relative_absolute_error: 1.123, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.3077, root_relative_squared_error: 1.0108, scimark_benchmark: 946.0768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, f_measure: 0.638, kappa: 0.4591, kb_relative_information_score: 45838.7002, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6521, predictive_accuracy: 0.66, prior_entropy: 1.8698, recall: 0.66, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.8612, scimark_benchmark: 935.3549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.6605, kappa: 0.4964, kb_relative_information_score: 3270.6872, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6718, predictive_accuracy: 0.6867, prior_entropy: 1.8698, recall: 0.6867, relative_absolute_error: 1.1818, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.316, root_relative_squared_error: 1.0383, scimark_benchmark: 943.8291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.6526, kappa: 0.4646, kb_relative_information_score: 45361.9574, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.651, predictive_accuracy: 0.667, prior_entropy: 1.8698, recall: 0.667, relative_absolute_error: 0.689, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.8539, scimark_benchmark: 943.2234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5943, f_measure: 0.3136, kappa: 0.0234, kb_relative_information_score: 17915.9544, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.2464, predictive_accuracy: 0.4691, prior_entropy: 1.8698, recall: 0.4691, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.9669, scimark_benchmark: 914.9035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.8102, kappa: 0.7085, kb_relative_information_score: 70552.0074, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8118, predictive_accuracy: 0.8155, prior_entropy: 1.8698, recall: 0.8155, relative_absolute_error: 0.4139, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.6778, scimark_benchmark: 942.2874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.6138, kappa: 0.4293, kb_relative_information_score: 40513.5294, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6447, predictive_accuracy: 0.6525, prior_entropy: 1.8698, recall: 0.6525, relative_absolute_error: 0.7539, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.8615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.6605, kappa: 0.4964, kb_relative_information_score: 3270.6872, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6718, predictive_accuracy: 0.6867, prior_entropy: 1.8698, recall: 0.6867, relative_absolute_error: 1.1818, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.316, root_relative_squared_error: 1.0383, scimark_benchmark: 928.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5936, f_measure: 0.3238, kappa: 0.0646, kb_relative_information_score: 17900.3231, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.2484, predictive_accuracy: 0.4679, prior_entropy: 1.8698, recall: 0.4679, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.9673, scimark_benchmark: 942.8098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8626, kappa: 0.7908, kb_relative_information_score: 74181.3485, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8679, predictive_accuracy: 0.8681, prior_entropy: 1.8698, recall: 0.8681, relative_absolute_error: 0.4027, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.5866, scimark_benchmark: 940.4903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.6094, kappa: 0.4266, kb_relative_information_score: 40434.1357, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.5777, predictive_accuracy: 0.6471, prior_entropy: 1.8698, recall: 0.6471, relative_absolute_error: 0.7459, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.8712, scimark_benchmark: 948.1153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.7656, kappa: 0.6447, kb_relative_information_score: 63654.1332, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.778, predictive_accuracy: 0.7781, prior_entropy: 1.8698, recall: 0.7781, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.7171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.6516, kappa: 0.4695, kb_relative_information_score: 45614.788, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6625, predictive_accuracy: 0.6711, prior_entropy: 1.8698, recall: 0.6711, relative_absolute_error: 0.7027, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2562, root_relative_squared_error: 0.8416, scimark_benchmark: 921.2786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.6218, kappa: 0.4308, kb_relative_information_score: 46219.9502, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6234, predictive_accuracy: 0.6251, prior_entropy: 1.8698, recall: 0.6251, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.277, root_relative_squared_error: 0.91, scimark_benchmark: 947.5907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8572, kappa: 0.7821, kb_relative_information_score: 83371.6742, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8571, predictive_accuracy: 0.8615, prior_entropy: 1.8698, recall: 0.8615, relative_absolute_error: 0.2142, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.6423, scimark_benchmark: 899.9069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8028, f_measure: 0.6181, kappa: 0.4394, kb_relative_information_score: 39015.76, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6061, predictive_accuracy: 0.6552, prior_entropy: 1.8698, recall: 0.6552, relative_absolute_error: 0.7754, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.8676, scimark_benchmark: 975.6025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.6451, kappa: 0.4642, kb_relative_information_score: 44381.2517, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6562, predictive_accuracy: 0.6675, prior_entropy: 1.8698, recall: 0.6675, relative_absolute_error: 0.7211, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.8501, scimark_benchmark: 925.6318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.7414, kappa: 0.6029, kb_relative_information_score: 24562.3471, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.7467, predictive_accuracy: 0.7515, prior_entropy: 1.8698, recall: 0.7515, relative_absolute_error: 0.9742, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.8897, scimark_benchmark: 949.9464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.8546, kappa: 0.7786, kb_relative_information_score: 83003.0394, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.855, predictive_accuracy: 0.8594, prior_entropy: 1.8698, recall: 0.8594, relative_absolute_error: 0.2204, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.6376, scimark_benchmark: 931.6916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, f_measure: 0.6178, kappa: 0.4395, kb_relative_information_score: 41758.7068, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.584, predictive_accuracy: 0.6566, prior_entropy: 1.8698, recall: 0.6566, relative_absolute_error: 0.7357, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.8567, scimark_benchmark: 945.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.8723, kappa: 0.8061, kb_relative_information_score: 85773.4161, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8772, predictive_accuracy: 0.8776, prior_entropy: 1.8698, recall: 0.8776, relative_absolute_error: 0.1926, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.5918, scimark_benchmark: 944.8044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5943, f_measure: 0.2986, kb_relative_information_score: 17903.6667, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.2192, predictive_accuracy: 0.4682, prior_entropy: 1.8698, recall: 0.4682, relative_absolute_error: 0.9352, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.967, scimark_benchmark: 946.6314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.8218, kappa: 0.7264, kb_relative_information_score: 72916.1351, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.823, predictive_accuracy: 0.8265, prior_entropy: 1.8698, recall: 0.8265, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.6644, scimark_benchmark: 929.9834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.6587, kappa: 0.4942, kb_relative_information_score: 7635.505, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6651, predictive_accuracy: 0.6856, prior_entropy: 1.8698, recall: 0.6856, relative_absolute_error: 1.1374, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.3119, root_relative_squared_error: 1.0249, scimark_benchmark: 878.3099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.8639, kappa: 0.793, kb_relative_information_score: 74298.634, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8692, predictive_accuracy: 0.8694, prior_entropy: 1.8698, recall: 0.8694, relative_absolute_error: 0.4023, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.5832, scimark_benchmark: 912.5168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.819, kappa: 0.7238, kb_relative_information_score: 73048.1507, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.822, predictive_accuracy: 0.8254, prior_entropy: 1.8698, recall: 0.8254, relative_absolute_error: 0.3998, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.643, scimark_benchmark: 945.6075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.6414, kappa: 0.4515, kb_relative_information_score: 44024.8784, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.6415, predictive_accuracy: 0.6596, prior_entropy: 1.8698, recall: 0.6596, relative_absolute_error: 0.7068, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.264, root_relative_squared_error: 0.8673, scimark_benchmark: 937.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.7475, kappa: 0.6136, kb_relative_information_score: 63484.9715, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.7524, predictive_accuracy: 0.7583, prior_entropy: 1.8698, recall: 0.7583, relative_absolute_error: 0.4744, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.7508, scimark_benchmark: 945.8311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8405, kappa: 0.7547, kb_relative_information_score: 80331.3803, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8396, predictive_accuracy: 0.8415, prior_entropy: 1.8698, recall: 0.8415, relative_absolute_error: 0.282, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.632, scimark_benchmark: 942.9464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7654, f_measure: 0.606, kappa: 0.4214, kb_relative_information_score: 32701.3247, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.5733, predictive_accuracy: 0.6442, prior_entropy: 1.8698, recall: 0.6442, relative_absolute_error: 0.7696, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.8939, scimark_benchmark: 895.2019,

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