OpenML
Supervised Classification on pc1

Supervised Classification on pc1

Task 3918 Supervised Classification pc1 147053 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.9158, kappa: 0.2419, kb_relative_information_score: 59.0509, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9124, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.9822, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.9122, kappa: 0.1975, kb_relative_information_score: -235.5668, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9088, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.8455, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.982, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.902, kappa: 0.2504, kb_relative_information_score: -148.2814, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9032, predictive_accuracy: 0.9008, prior_entropy: 0.3667, recall: 0.9008, relative_absolute_error: 0.7689, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3012, root_relative_squared_error: 1.1851, scimark_benchmark: 1887.4343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8971, kb_relative_information_score: 273.5039, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2635, root_relative_squared_error: 1.0366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6262, f_measure: 0.8948, kappa: 0.2168, kb_relative_information_score: -218.165, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.899, predictive_accuracy: 0.8909, prior_entropy: 0.3667, recall: 0.8909, relative_absolute_error: 0.8376, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3262, root_relative_squared_error: 1.2832, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.902, kappa: 0.2504, kb_relative_information_score: -148.2814, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9032, predictive_accuracy: 0.9008, prior_entropy: 0.3667, recall: 0.9008, relative_absolute_error: 0.7689, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3012, root_relative_squared_error: 1.1851, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: -11.8543, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: -11.8543, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7431, f_measure: 0.9184, kappa: 0.2562, kb_relative_information_score: -229.0666, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9188, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.8063, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.9418, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, f_measure: 0.9174, kappa: 0.2582, kb_relative_information_score: -361.2834, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9144, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.9575, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5125, f_measure: 0.901, kappa: 0.045, kb_relative_information_score: 284.2411, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9138, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.5276, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2618, root_relative_squared_error: 1.0299, scimark_benchmark: 1870.7932, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8971, kb_relative_information_score: 273.5039, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2635, root_relative_squared_error: 1.0366, scimark_benchmark: 1870.7932, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5642, f_measure: 0.9098, kappa: 0.185, kb_relative_information_score: 230.5554, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9032, predictive_accuracy: 0.927, prior_entropy: 0.3667, recall: 0.927, relative_absolute_error: 0.5623, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2703, root_relative_squared_error: 1.0632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6531, f_measure: 0.9278, kappa: 0.382, kb_relative_information_score: 337.9267, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9246, predictive_accuracy: 0.936, prior_entropy: 0.3667, recall: 0.936, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.253, root_relative_squared_error: 0.9954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6267, f_measure: 0.9216, kappa: 0.3233, kb_relative_information_score: 284.2411, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9173, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.5276, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2618, root_relative_squared_error: 1.0299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6346, f_measure: 0.925, kappa: 0.3489, kb_relative_information_score: 327.1896, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9219, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2548, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.9146, kappa: 0.2585, kb_relative_information_score: -327.3227, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9087, predictive_accuracy: 0.9261, prior_entropy: 0.3667, recall: 0.9261, relative_absolute_error: 0.7385, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2401, root_relative_squared_error: 0.9446, scimark_benchmark: 1873.1108, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7909, f_measure: 0.9022, kappa: 0.088, kb_relative_information_score: -369.4587, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8925, predictive_accuracy: 0.9261, prior_entropy: 0.3667, recall: 0.9261, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.9422, scimark_benchmark: 1873.1108, usercpu_time_millis: 203.125, usercpu_time_millis_testing: 187.5, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.9161, kappa: 0.2356, kb_relative_information_score: -66.1293, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9333, prior_entropy: 0.3667, recall: 0.9333, relative_absolute_error: 0.6768, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2543, root_relative_squared_error: 1.0005, scimark_benchmark: 1840.6094, usercpu_time_millis: 109.375, usercpu_time_millis_testing: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.9124, kappa: 0.2155, kb_relative_information_score: -113.0897, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9065, predictive_accuracy: 0.9279, prior_entropy: 0.3667, recall: 0.9279, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2601, root_relative_squared_error: 1.0232, scimark_benchmark: 1840.6094, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.9117, kappa: 0.186, kb_relative_information_score: -435.284, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9099, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.7921, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.9238, scimark_benchmark: 1447.2612, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7829, f_measure: 0.9099, kappa: 0.2032, kb_relative_information_score: -321.5225, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9026, predictive_accuracy: 0.9243, prior_entropy: 0.3667, recall: 0.9243, relative_absolute_error: 0.7351, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.244, root_relative_squared_error: 0.9599, scimark_benchmark: 1447.2612, usercpu_time_millis: 140.625, usercpu_time_millis_testing: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5976, f_measure: 0.9164, kappa: 0.2454, kb_relative_information_score: 108.8244, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9138, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8419, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.9612, scimark_benchmark: 891.9066, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.8967, kappa: -0.0018, kb_relative_information_score: 262.7668, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8659, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2652, root_relative_squared_error: 1.0433, scimark_benchmark: 1058.2648, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8971, kb_relative_information_score: 273.5039, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2635, root_relative_squared_error: 1.0366, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7422, f_measure: 0.9019, kappa: 0.0749, kb_relative_information_score: -172.664, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8939, predictive_accuracy: 0.9279, prior_entropy: 0.3667, recall: 0.9279, relative_absolute_error: 0.9059, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.9703, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, f_measure: 0.9132, kappa: 0.2116, kb_relative_information_score: 11.7721, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9095, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.8899, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.9657, scimark_benchmark: 1788.6668, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6171, f_measure: 0.9155, kappa: 0.2478, kb_relative_information_score: 67.7985, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9106, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.8746, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.9826, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.9059, kappa: 0.127, kb_relative_information_score: -291.6241, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8995, predictive_accuracy: 0.9279, prior_entropy: 0.3667, recall: 0.9279, relative_absolute_error: 0.8025, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.9512, scimark_benchmark: 1788.6668, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.9174, kappa: 0.2582, kb_relative_information_score: -107.4653, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9144, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.7182, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.9197, scimark_benchmark: 1788.6668, usercpu_time_millis: 281.25, usercpu_time_millis_training: 281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.9174, kappa: 0.2582, kb_relative_information_score: -107.4653, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9144, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.7182, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.9197, scimark_benchmark: 1834.908, usercpu_time_millis: 218.75, usercpu_time_millis_training: 218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6608, f_measure: 0.9191, kappa: 0.2827, kb_relative_information_score: 59.1243, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9156, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8724, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.9547, scimark_benchmark: 1834.908, usercpu_time_millis: 468.75, usercpu_time_millis_training: 468.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.9158, kappa: 0.2419, kb_relative_information_score: 59.0509, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9124, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.9822, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: -11.8543, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1, scimark_benchmark: 1892.0925, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.9264, kappa: 0.357, kb_relative_information_score: -163.3059, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9241, predictive_accuracy: 0.9369, prior_entropy: 0.3667, recall: 0.9369, relative_absolute_error: 0.7284, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.8819, scimark_benchmark: 1892.0925, usercpu_time_millis: 296.875, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.9082, kappa: 0.1488, kb_relative_information_score: -203.2275, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9044, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.9764, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5556, f_measure: 0.9111, kappa: 0.1828, kb_relative_information_score: 65.9095, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.908, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.8892, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.989, scimark_benchmark: 1892.0925, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.9184, kappa: 0.3643, kb_relative_information_score: 90.6757, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9179, predictive_accuracy: 0.9188, prior_entropy: 0.3667, recall: 0.9188, relative_absolute_error: 0.6478, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2858, root_relative_squared_error: 1.1243, scimark_benchmark: 1925.3565, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.9019, kappa: 0.0979, kb_relative_information_score: -279.3378, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8907, predictive_accuracy: 0.9234, prior_entropy: 0.3667, recall: 0.9234, relative_absolute_error: 0.8905, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.9986, scimark_benchmark: 1925.3565, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6607, f_measure: 0.9191, kappa: 0.2827, kb_relative_information_score: 62.2001, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9156, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8721, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.9536, scimark_benchmark: 1925.3565, usercpu_time_millis: 421.875, usercpu_time_millis_training: 421.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5125, f_measure: 0.901, kappa: 0.045, kb_relative_information_score: 284.2411, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9138, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.5276, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2618, root_relative_squared_error: 1.0299, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8971, kb_relative_information_score: 273.5039, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2635, root_relative_squared_error: 1.0366, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6262, f_measure: 0.8948, kappa: 0.2168, kb_relative_information_score: -218.165, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.899, predictive_accuracy: 0.8909, prior_entropy: 0.3667, recall: 0.8909, relative_absolute_error: 0.8376, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3262, root_relative_squared_error: 1.2832, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.9158, kappa: 0.2419, kb_relative_information_score: 64.4775, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9124, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.9817, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: -11.8543, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.9174, kappa: 0.2582, kb_relative_information_score: -107.4647, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9144, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.7182, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.9197, scimark_benchmark: 1107.4927, usercpu_time_millis: 470, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.9243, kappa: 0.3386, kb_relative_information_score: -174.0187, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9214, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.7298, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.8764, scimark_benchmark: 1925.3565, usercpu_time_millis: 234.375, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, f_measure: 0.9132, kappa: 0.2116, kb_relative_information_score: -213.1227, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9095, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.853, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.966, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5125, f_measure: 0.901, kappa: 0.045, kb_relative_information_score: 284.2411, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9138, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.5276, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2618, root_relative_squared_error: 1.0299, scimark_benchmark: 1618.1738, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6286, f_measure: 0.9202, kappa: 0.2818, kb_relative_information_score: 130.166, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9193, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.8374, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2412, root_relative_squared_error: 0.9489, scimark_benchmark: 754.9168, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.9174, kappa: 0.2582, kb_relative_information_score: -107.4663, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9144, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.7182, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.9197, scimark_benchmark: 1245.9965, usercpu_time_millis: 460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.9184, kappa: 0.3643, kb_relative_information_score: 90.6757, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9179, predictive_accuracy: 0.9188, prior_entropy: 0.3667, recall: 0.9188, relative_absolute_error: 0.6478, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2858, root_relative_squared_error: 1.1243, scimark_benchmark: 1347.1263, usercpu_time_millis: 190, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.9019, kappa: 0.0979, kb_relative_information_score: -279.3378, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8907, predictive_accuracy: 0.9234, prior_entropy: 0.3667, recall: 0.9234, relative_absolute_error: 0.8905, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.9986, scimark_benchmark: 1369.5385, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6611, f_measure: 0.9191, kappa: 0.2827, kb_relative_information_score: 62.3208, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9156, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8719, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.9536, scimark_benchmark: 1287.2736, usercpu_time_millis: 600, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8971, kb_relative_information_score: 273.5039, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2635, root_relative_squared_error: 1.0366, scimark_benchmark: 1288.9201, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6262, f_measure: 0.8948, kappa: 0.2168, kb_relative_information_score: -218.165, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.899, predictive_accuracy: 0.8909, prior_entropy: 0.3667, recall: 0.8909, relative_absolute_error: 0.8376, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3262, root_relative_squared_error: 1.2832, scimark_benchmark: 1389.0618, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7387, f_measure: 0.9155, kappa: 0.2478, kb_relative_information_score: -301.6382, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9106, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.877, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.9706, scimark_benchmark: 1665.974, usercpu_time_millis: 453.125, usercpu_time_millis_training: 453.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5776, f_measure: 0.7603, kappa: 0.0596, kb_relative_information_score: -2668.4694, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8865, predictive_accuracy: 0.6835, prior_entropy: 0.3667, recall: 0.6835, relative_absolute_error: 2.4367, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.5626, root_relative_squared_error: 2.2133, scimark_benchmark: 1595.7367, usercpu_time_millis: 50230, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.7251, kappa: -0.0016, kb_relative_information_score: -3237.5373, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8703, predictive_accuracy: 0.6357, prior_entropy: 0.3667, recall: 0.6357, relative_absolute_error: 2.8046, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.6036, root_relative_squared_error: 2.3745, scimark_benchmark: 1654.9901, usercpu_time_millis: 63340, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 63270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.9141, kappa: 0.1993, kb_relative_information_score: 327.1896, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9199, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2548, root_relative_squared_error: 1.0024, scimark_benchmark: 1656.3881, usercpu_time_millis: 850, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4789, f_measure: 0.8722, kappa: -0.0477, kb_relative_information_score: -327.7753, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8645, predictive_accuracy: 0.8801, prior_entropy: 0.3667, recall: 0.8801, relative_absolute_error: 0.9233, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3463, root_relative_squared_error: 1.3624, scimark_benchmark: 1637.9946, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6197, f_measure: 0.924, kappa: 0.3176, kb_relative_information_score: 142.7504, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9244, predictive_accuracy: 0.9378, prior_entropy: 0.3667, recall: 0.9378, relative_absolute_error: 0.8296, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.9431, scimark_benchmark: 1386.3793, usercpu_time_millis: 5650, usercpu_time_millis_training: 5650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.588, f_measure: 0.9203, kappa: 0.2677, kb_relative_information_score: 359.401, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9253, predictive_accuracy: 0.9378, prior_entropy: 0.3667, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813, scimark_benchmark: 1118.5479, usercpu_time_millis: 1380, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 1080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5261, f_measure: 0.8995, kappa: 0.0517, kb_relative_information_score: -32.0319, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8868, predictive_accuracy: 0.9261, prior_entropy: 0.3667, recall: 0.9261, relative_absolute_error: 0.9764, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2587, root_relative_squared_error: 1.0177, scimark_benchmark: 943.7305, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7637, f_measure: 0.9122, kappa: 0.1975, kb_relative_information_score: -214.1333, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9088, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.7211, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.9839, scimark_benchmark: 937.8851, usercpu_time_millis: 370, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6262, f_measure: 0.8948, kappa: 0.2168, kb_relative_information_score: -218.165, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.899, predictive_accuracy: 0.8909, prior_entropy: 0.3667, recall: 0.8909, relative_absolute_error: 0.8376, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3262, root_relative_squared_error: 1.2832, scimark_benchmark: 1823.8564, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7168, f_measure: 0.9031, kappa: 0.0677, kb_relative_information_score: -97.3459, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9203, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.9579, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.9791, scimark_benchmark: 1498.342, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.925, kappa: 0.3426, kb_relative_information_score: -174.5066, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9225, predictive_accuracy: 0.936, prior_entropy: 0.3667, recall: 0.936, relative_absolute_error: 0.7276, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.8769, scimark_benchmark: 1491.7403, usercpu_time_millis: 2670, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 2490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4789, f_measure: 0.8722, kappa: -0.0477, kb_relative_information_score: -327.7753, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8645, predictive_accuracy: 0.8801, prior_entropy: 0.3667, recall: 0.8801, relative_absolute_error: 0.9233, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3463, root_relative_squared_error: 1.3624, scimark_benchmark: 1280.301, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.9141, kappa: 0.1993, kb_relative_information_score: 327.1896, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9199, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2548, root_relative_squared_error: 1.0024, scimark_benchmark: 1922.3298, usercpu_time_millis: 640.625, usercpu_time_millis_testing: 312.5, usercpu_time_millis_training: 328.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5776, f_measure: 0.7603, kappa: 0.0596, kb_relative_information_score: -2668.4694, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8865, predictive_accuracy: 0.6835, prior_entropy: 0.3667, recall: 0.6835, relative_absolute_error: 2.4367, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.5626, root_relative_squared_error: 2.2133, scimark_benchmark: 1922.3298, usercpu_time_millis: 50687.5, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 50625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.7251, kappa: -0.0016, kb_relative_information_score: -3237.5373, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8703, predictive_accuracy: 0.6357, prior_entropy: 0.3667, recall: 0.6357, relative_absolute_error: 2.8046, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.6036, root_relative_squared_error: 2.3745, scimark_benchmark: 1922.3298, usercpu_time_millis: 60968.75, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 60921.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, f_measure: 0.9158, kappa: 0.2419, kb_relative_information_score: -2.3031, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9124, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.9787, scimark_benchmark: 1586.7278, usercpu_time_millis: 4734.375, usercpu_time_millis_training: 4734.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.638, f_measure: 0.9064, kappa: 0.1297, kb_relative_information_score: -4022.5225, mean_absolute_error: 0.2805, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9013, predictive_accuracy: 0.9288, prior_entropy: 0.3667, recall: 0.9288, relative_absolute_error: 2.1594, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3347, root_relative_squared_error: 1.3166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6262, f_measure: 0.8948, kappa: 0.2168, kb_relative_information_score: -218.165, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.899, predictive_accuracy: 0.8909, prior_entropy: 0.3667, recall: 0.8909, relative_absolute_error: 0.8376, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3262, root_relative_squared_error: 1.2832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.9148, kappa: 0.2444, kb_relative_information_score: 14.2139, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9095, predictive_accuracy: 0.9288, prior_entropy: 0.3667, recall: 0.9288, relative_absolute_error: 0.7818, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.9122, kappa: 0.1975, kb_relative_information_score: -235.5668, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9088, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.8455, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.8971, kb_relative_information_score: -543.4351, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.9579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.902, kappa: 0.2504, kb_relative_information_score: -148.2814, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9032, predictive_accuracy: 0.9008, prior_entropy: 0.3667, recall: 0.9008, relative_absolute_error: 0.7689, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3012, root_relative_squared_error: 1.1851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5346, f_measure: 0.9046, kappa: 0.1103, kb_relative_information_score: 241.2925, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8979, predictive_accuracy: 0.9279, prior_entropy: 0.3667, recall: 0.9279, relative_absolute_error: 0.5554, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2686, root_relative_squared_error: 1.0566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: -11.8543, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7431, f_measure: 0.9184, kappa: 0.2562, kb_relative_information_score: -229.0666, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9188, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.8063, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.9418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6816, f_measure: 0.9146, kappa: 0.341, kb_relative_information_score: 38.5561, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9149, predictive_accuracy: 0.9143, prior_entropy: 0.3667, recall: 0.9143, relative_absolute_error: 0.6757, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2926, root_relative_squared_error: 1.1511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, f_measure: 0.9042, kappa: 0.1191, kb_relative_information_score: -206.1776, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8951, predictive_accuracy: 0.9252, prior_entropy: 0.3667, recall: 0.9252, relative_absolute_error: 0.8862, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.251, root_relative_squared_error: 0.9874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6262, f_measure: 0.8948, kappa: 0.2168, kb_relative_information_score: -218.165, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.899, predictive_accuracy: 0.8909, prior_entropy: 0.3667, recall: 0.8909, relative_absolute_error: 0.8376, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3262, root_relative_squared_error: 1.2832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7799, f_measure: 0.925, kappa: 0.3426, kb_relative_information_score: -295.5355, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9225, predictive_accuracy: 0.936, prior_entropy: 0.3667, recall: 0.936, relative_absolute_error: 0.7598, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.9348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.9197, kappa: 0.319, kb_relative_information_score: 119.3596, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9149, predictive_accuracy: 0.9279, prior_entropy: 0.3667, recall: 0.9279, relative_absolute_error: 0.6089, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: -11.8543, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.9183, kappa: 0.2707, kb_relative_information_score: -416.9137, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7764, f_measure: 0.9167, kappa: 0.2547, kb_relative_information_score: -342.061, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9131, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.8253, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.9628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.7979, kappa: 0.1263, kb_relative_information_score: -2150.3042, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9, predictive_accuracy: 0.7358, prior_entropy: 0.3667, recall: 0.7358, relative_absolute_error: 1.9914, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.4863, root_relative_squared_error: 1.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.9059, kappa: 0.1376, kb_relative_information_score: -260.6038, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.898, predictive_accuracy: 0.9261, prior_entropy: 0.3667, recall: 0.9261, relative_absolute_error: 0.8893, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.91, kappa: 0.1676, kb_relative_information_score: -213.6657, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9073, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.8336, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.9462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, f_measure: 0.8971, kb_relative_information_score: -474.3423, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9555, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2493, root_relative_squared_error: 0.9808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8971, kb_relative_information_score: 273.5039, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2635, root_relative_squared_error: 1.0366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5125, f_measure: 0.901, kappa: 0.045, kb_relative_information_score: 284.2411, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9138, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.5276, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2618, root_relative_squared_error: 1.0299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8971, kb_relative_information_score: 273.5039, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2635, root_relative_squared_error: 1.0366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.9177, kappa: 0.3612, kb_relative_information_score: 123.1841, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9175, predictive_accuracy: 0.9179, prior_entropy: 0.3667, recall: 0.9179, relative_absolute_error: 0.6317, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2865, root_relative_squared_error: 1.1269,

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