Task
Supervised Classification on kc3

Supervised Classification on kc3

Task 4620 Supervised Classification kc3 213 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6669, f_measure: 0.8766, kappa: 0.1665, kb_relative_information_score: -595.5997, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8672, predictive_accuracy: 0.8987, prior_entropy: 0.4551, recall: 0.8987, relative_absolute_error: 0.8893, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.9937, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, f_measure: 0.8914, kappa: 0.2948, kb_relative_information_score: -2812.2944, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8853, predictive_accuracy: 0.9041, prior_entropy: 0.4551, recall: 0.9041, relative_absolute_error: 1.0317, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.29, root_relative_squared_error: 0.9944, scimark_benchmark: 972.587, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.8815, kappa: 0.2536, kb_relative_information_score: -508.1701, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8748, predictive_accuracy: 0.8906, prior_entropy: 0.4551, recall: 0.8906, relative_absolute_error: 0.8182, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.9993, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8615, kb_relative_information_score: 1185.7502, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.0505, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.8478, kappa: 0.2425, kb_relative_information_score: -2579.8493, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8755, predictive_accuracy: 0.8277, prior_entropy: 0.4551, recall: 0.8277, relative_absolute_error: 1.0531, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3519, root_relative_squared_error: 1.2064, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.8721, kappa: 0.1142, kb_relative_information_score: -765.385, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8625, predictive_accuracy: 0.9007, prior_entropy: 0.4551, recall: 0.9007, relative_absolute_error: 0.8429, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.9357, scimark_benchmark: 938.191, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.8841, kappa: 0.2284, kb_relative_information_score: -264.0241, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8769, predictive_accuracy: 0.902, prior_entropy: 0.4551, recall: 0.902, relative_absolute_error: 0.7829, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.9513, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7208, f_measure: 0.8839, kappa: 0.2486, kb_relative_information_score: -368.6777, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8762, predictive_accuracy: 0.8969, prior_entropy: 0.4551, recall: 0.8969, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2938, root_relative_squared_error: 1.0074, scimark_benchmark: 944.1067, usercpu_time_millis: 920, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8615, kb_relative_information_score: 1185.7502, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.0505, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8615, kb_relative_information_score: 1185.7502, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.0505, scimark_benchmark: 936.3373, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7405, kappa: 0.2022, kb_relative_information_score: -7215.472, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.9016, predictive_accuracy: 0.6723, prior_entropy: 0.4551, recall: 0.6723, relative_absolute_error: 1.9092, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.5682, root_relative_squared_error: 1.9481, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.8688, kappa: 0.0963, kb_relative_information_score: -880.3877, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8555, predictive_accuracy: 0.8967, prior_entropy: 0.4551, recall: 0.8967, relative_absolute_error: 0.8094, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9337, scimark_benchmark: 943.1009, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6669, f_measure: 0.8766, kappa: 0.1665, kb_relative_information_score: -595.5997, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8672, predictive_accuracy: 0.8987, prior_entropy: 0.4551, recall: 0.8987, relative_absolute_error: 0.8893, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.9937, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, f_measure: 0.8914, kappa: 0.2948, kb_relative_information_score: -2812.2944, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8853, predictive_accuracy: 0.9041, prior_entropy: 0.4551, recall: 0.9041, relative_absolute_error: 1.0317, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.29, root_relative_squared_error: 0.9944, scimark_benchmark: 901.6243, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.8815, kappa: 0.2536, kb_relative_information_score: -508.1701, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8748, predictive_accuracy: 0.8906, prior_entropy: 0.4551, recall: 0.8906, relative_absolute_error: 0.8182, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.9993, scimark_benchmark: 938.1282, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8615, kb_relative_information_score: 1185.7502, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.0505, scimark_benchmark: 930.404, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8615, kb_relative_information_score: 1185.7502, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.0505, scimark_benchmark: 906.0979, usercpu_time_millis: 150, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7405, kappa: 0.2022, kb_relative_information_score: -7215.472, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.9016, predictive_accuracy: 0.6723, prior_entropy: 0.4551, recall: 0.6723, relative_absolute_error: 1.9092, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.5682, root_relative_squared_error: 1.9481, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.8478, kappa: 0.2425, kb_relative_information_score: -2579.8493, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8755, predictive_accuracy: 0.8277, prior_entropy: 0.4551, recall: 0.8277, relative_absolute_error: 1.0531, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3519, root_relative_squared_error: 1.2064, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.8478, kappa: 0.2425, kb_relative_information_score: -2579.8493, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8755, predictive_accuracy: 0.8277, prior_entropy: 0.4551, recall: 0.8277, relative_absolute_error: 1.0531, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3519, root_relative_squared_error: 1.2064, scimark_benchmark: 903.2737, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.8478, kappa: 0.2425, kb_relative_information_score: -2579.8493, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8755, predictive_accuracy: 0.8277, prior_entropy: 0.4551, recall: 0.8277, relative_absolute_error: 1.0531, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3519, root_relative_squared_error: 1.2064, scimark_benchmark: 938.1282, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.8721, kappa: 0.1142, kb_relative_information_score: -765.385, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8625, predictive_accuracy: 0.9007, prior_entropy: 0.4551, recall: 0.9007, relative_absolute_error: 0.8429, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.9357, scimark_benchmark: 941.4991, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.8841, kappa: 0.2284, kb_relative_information_score: -264.0241, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8769, predictive_accuracy: 0.902, prior_entropy: 0.4551, recall: 0.902, relative_absolute_error: 0.7829, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.9513, scimark_benchmark: 930.404, usercpu_time_millis: 5590, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 5490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.8478, kappa: 0.2425, kb_relative_information_score: -2579.8493, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8755, predictive_accuracy: 0.8277, prior_entropy: 0.4551, recall: 0.8277, relative_absolute_error: 1.0531, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3519, root_relative_squared_error: 1.2064, scimark_benchmark: 945.6228, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.8688, kappa: 0.0963, kb_relative_information_score: -880.3877, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8555, predictive_accuracy: 0.8967, prior_entropy: 0.4551, recall: 0.8967, relative_absolute_error: 0.8094, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9337, scimark_benchmark: 938.988, usercpu_time_millis: 250, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.8866, kappa: 0.2317, kb_relative_information_score: -55.1594, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8829, predictive_accuracy: 0.9074, prior_entropy: 0.4551, recall: 0.9074, relative_absolute_error: 0.7991, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.266, root_relative_squared_error: 0.9121, scimark_benchmark: 870.2101, usercpu_time_millis: 10190, usercpu_time_millis_testing: 5100, usercpu_time_millis_training: 5090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.8857, kappa: 0.2251, kb_relative_information_score: -65.6257, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8816, predictive_accuracy: 0.9068, prior_entropy: 0.4551, recall: 0.9068, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.266, root_relative_squared_error: 0.9119, scimark_benchmark: 972.587, usercpu_time_millis: 5860, usercpu_time_millis_testing: 2810, usercpu_time_millis_training: 3050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.8869, kappa: 0.2355, kb_relative_information_score: -94.0083, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8829, predictive_accuracy: 0.9072, prior_entropy: 0.4551, recall: 0.9072, relative_absolute_error: 0.7961, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2661, root_relative_squared_error: 0.9122, scimark_benchmark: 936.2727, usercpu_time_millis: 1760, usercpu_time_millis_testing: 670, usercpu_time_millis_training: 1090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8034, f_measure: 0.8889, kappa: 0.2492, kb_relative_information_score: -109.5089, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8858, predictive_accuracy: 0.9087, prior_entropy: 0.4551, recall: 0.9087, relative_absolute_error: 0.7906, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2666, root_relative_squared_error: 0.9141, scimark_benchmark: 922.613, usercpu_time_millis: 740, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, f_measure: 0.8857, kappa: 0.2316, kb_relative_information_score: -265.538, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8803, predictive_accuracy: 0.9052, prior_entropy: 0.4551, recall: 0.9052, relative_absolute_error: 0.7998, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.9306, scimark_benchmark: 920.5394, usercpu_time_millis: 370, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.8978, kappa: 0.3284, kb_relative_information_score: -1283.2717, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.894, predictive_accuracy: 0.9116, prior_entropy: 0.4551, recall: 0.9116, relative_absolute_error: 0.813, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.9352, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.8978, kappa: 0.3284, kb_relative_information_score: -1283.2717, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.894, predictive_accuracy: 0.9116, prior_entropy: 0.4551, recall: 0.9116, relative_absolute_error: 0.813, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.9352, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.8978, kappa: 0.3284, kb_relative_information_score: -1283.2717, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.894, predictive_accuracy: 0.9116, prior_entropy: 0.4551, recall: 0.9116, relative_absolute_error: 0.813, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.9352, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.8978, kappa: 0.3284, kb_relative_information_score: -1283.2717, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.894, predictive_accuracy: 0.9116, prior_entropy: 0.4551, recall: 0.9116, relative_absolute_error: 0.813, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.9352, scimark_benchmark: 941.9549, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.8978, kappa: 0.3284, kb_relative_information_score: -1283.2717, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.894, predictive_accuracy: 0.9116, prior_entropy: 0.4551, recall: 0.9116, relative_absolute_error: 0.813, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.9352, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4727, f_measure: 0.8615, kb_relative_information_score: -72.9649, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2917, root_relative_squared_error: 1.0001, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, f_measure: 0.8684, kappa: 0.0757, kb_relative_information_score: 1046.3142, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8583, predictive_accuracy: 0.9017, prior_entropy: 0.4551, recall: 0.9017, relative_absolute_error: 0.5704, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3046, root_relative_squared_error: 1.0443, scimark_benchmark: 929.0296, usercpu_time_millis: 550, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.8715, kappa: 0.1068, kb_relative_information_score: 1015.5325, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8621, predictive_accuracy: 0.9011, prior_entropy: 0.4551, recall: 0.9011, relative_absolute_error: 0.5795, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3025, root_relative_squared_error: 1.0371, scimark_benchmark: 929.0296, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.8721, kappa: 0.1142, kb_relative_information_score: -765.385, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8625, predictive_accuracy: 0.9007, prior_entropy: 0.4551, recall: 0.9007, relative_absolute_error: 0.8429, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.9357, scimark_benchmark: 1324.7884, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.8478, kappa: 0.2425, kb_relative_information_score: -2579.8493, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8755, predictive_accuracy: 0.8277, prior_entropy: 0.4551, recall: 0.8277, relative_absolute_error: 1.0531, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3519, root_relative_squared_error: 1.2064, scimark_benchmark: 1318.6467, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6669, f_measure: 0.8766, kappa: 0.1665, kb_relative_information_score: -595.5997, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8672, predictive_accuracy: 0.8987, prior_entropy: 0.4551, recall: 0.8987, relative_absolute_error: 0.8893, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.9937, scimark_benchmark: 1296.8947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8615, kb_relative_information_score: 1185.7502, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.0505, scimark_benchmark: 1322.5413, usercpu_time_millis: 210, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7405, kappa: 0.2022, kb_relative_information_score: -7215.472, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.9016, predictive_accuracy: 0.6723, prior_entropy: 0.4551, recall: 0.6723, relative_absolute_error: 1.9092, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.5682, root_relative_squared_error: 1.9481, scimark_benchmark: 1335.6555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.8478, kappa: 0.2425, kb_relative_information_score: -2579.8493, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8755, predictive_accuracy: 0.8277, prior_entropy: 0.4551, recall: 0.8277, relative_absolute_error: 1.0531, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3519, root_relative_squared_error: 1.2064, scimark_benchmark: 1317.5857, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7405, kappa: 0.2022, kb_relative_information_score: -7215.472, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.9016, predictive_accuracy: 0.6723, prior_entropy: 0.4551, recall: 0.6723, relative_absolute_error: 1.9092, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.5682, root_relative_squared_error: 1.9481, scimark_benchmark: 1351.1238, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.8478, kappa: 0.2425, kb_relative_information_score: -2579.8493, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8755, predictive_accuracy: 0.8277, prior_entropy: 0.4551, recall: 0.8277, relative_absolute_error: 1.0531, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3519, root_relative_squared_error: 1.2064, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.8841, kappa: 0.2284, kb_relative_information_score: -264.0267, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8769, predictive_accuracy: 0.902, prior_entropy: 0.4551, recall: 0.902, relative_absolute_error: 0.7829, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.9513, scimark_benchmark: 1318.4315, usercpu_time_millis: 3220, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 3160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.8478, kappa: 0.2425, kb_relative_information_score: -2579.8493, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8755, predictive_accuracy: 0.8277, prior_entropy: 0.4551, recall: 0.8277, relative_absolute_error: 1.0531, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3519, root_relative_squared_error: 1.2064, scimark_benchmark: 1322.3407, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, f_measure: 0.8914, kappa: 0.2948, kb_relative_information_score: -2812.2944, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8853, predictive_accuracy: 0.9041, prior_entropy: 0.4551, recall: 0.9041, relative_absolute_error: 1.0317, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.29, root_relative_squared_error: 0.9944, scimark_benchmark: 1345.5961, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7405, kappa: 0.2022, kb_relative_information_score: -7215.472, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.9016, predictive_accuracy: 0.6723, prior_entropy: 0.4551, recall: 0.6723, relative_absolute_error: 1.9092, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.5682, root_relative_squared_error: 1.9481, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.8478, kappa: 0.2425, kb_relative_information_score: -2579.8493, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8755, predictive_accuracy: 0.8277, prior_entropy: 0.4551, recall: 0.8277, relative_absolute_error: 1.0531, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3519, root_relative_squared_error: 1.2064, scimark_benchmark: 1337.3324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7208, f_measure: 0.8839, kappa: 0.2486, kb_relative_information_score: -368.6777, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8762, predictive_accuracy: 0.8969, prior_entropy: 0.4551, recall: 0.8969, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2938, root_relative_squared_error: 1.0074, scimark_benchmark: 1332.6745, usercpu_time_millis: 1010, usercpu_time_millis_training: 1010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.8688, kappa: 0.0963, kb_relative_information_score: -880.3877, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8555, predictive_accuracy: 0.8967, prior_entropy: 0.4551, recall: 0.8967, relative_absolute_error: 0.8094, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9337, scimark_benchmark: 1342.2845, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6669, f_measure: 0.8766, kappa: 0.1665, kb_relative_information_score: -595.5997, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8672, predictive_accuracy: 0.8987, prior_entropy: 0.4551, recall: 0.8987, relative_absolute_error: 0.8893, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.9937, scimark_benchmark: 1309.4708, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7801, f_measure: 0.8877, kappa: 0.2633, kb_relative_information_score: -484.7243, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8811, predictive_accuracy: 0.9026, prior_entropy: 0.4551, recall: 0.9026, relative_absolute_error: 0.7875, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.9732, scimark_benchmark: 1367.3264, usercpu_time_millis: 350, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6266, f_measure: 0.8799, kappa: 0.2232, kb_relative_information_score: 167.8786, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8715, predictive_accuracy: 0.8935, prior_entropy: 0.4551, recall: 0.8935, relative_absolute_error: 0.7697, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3148, root_relative_squared_error: 1.0793, scimark_benchmark: 1339.8573, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, f_measure: 0.8824, kappa: 0.2596, kb_relative_information_score: -494.4252, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8758, predictive_accuracy: 0.8915, prior_entropy: 0.4551, recall: 0.8915, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.9962, scimark_benchmark: 1342.2845, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8615, kb_relative_information_score: 1185.7502, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.0505, scimark_benchmark: 1342.2332, usercpu_time_millis: 240, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7405, kappa: 0.2022, kb_relative_information_score: -7215.472, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.9016, predictive_accuracy: 0.6723, prior_entropy: 0.4551, recall: 0.6723, relative_absolute_error: 1.9092, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.5682, root_relative_squared_error: 1.9481, scimark_benchmark: 1335.2021, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.8478, kappa: 0.2425, kb_relative_information_score: -2579.8493, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8755, predictive_accuracy: 0.8277, prior_entropy: 0.4551, recall: 0.8277, relative_absolute_error: 1.0531, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3519, root_relative_squared_error: 1.2064, scimark_benchmark: 1332.3382, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.8478, kappa: 0.2425, kb_relative_information_score: -2579.8493, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8755, predictive_accuracy: 0.8277, prior_entropy: 0.4551, recall: 0.8277, relative_absolute_error: 1.0531, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3519, root_relative_squared_error: 1.2064, scimark_benchmark: 1313.5633, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.8866, kappa: 0.2317, kb_relative_information_score: -1287.7451, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8829, predictive_accuracy: 0.9074, prior_entropy: 0.4551, recall: 0.9074, relative_absolute_error: 0.9004, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.9861, scimark_benchmark: 1331.7953, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.8478, kappa: 0.2425, kb_relative_information_score: -2579.8493, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8755, predictive_accuracy: 0.8277, prior_entropy: 0.4551, recall: 0.8277, relative_absolute_error: 1.0531, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3519, root_relative_squared_error: 1.2064, scimark_benchmark: 1336.2908, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).

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Timeline

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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

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

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