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Supervised Classification on fri_c1_500_25

Supervised Classification on fri_c1_500_25

Task 4350 Supervised Classification fri_c1_500_25 226 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8343, kappa: 0.6666, kb_relative_information_score: 2817.4991, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8364, predictive_accuracy: 0.835, prior_entropy: 0.9967, recall: 0.835, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.683, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.836, kappa: 0.6702, kb_relative_information_score: 2966.6222, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8362, predictive_accuracy: 0.8362, prior_entropy: 0.9967, recall: 0.8362, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.7322, scimark_benchmark: 1347.3402, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.8763, kappa: 0.7514, kb_relative_information_score: 2305.7705, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8764, predictive_accuracy: 0.8764, prior_entropy: 0.9967, recall: 0.8764, relative_absolute_error: 0.5893, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.339, root_relative_squared_error: 0.6795, scimark_benchmark: 1320.8283, usercpu_time_millis: 200, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8419, kappa: 0.682, kb_relative_information_score: 2489.3603, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8424, predictive_accuracy: 0.8422, prior_entropy: 0.9967, recall: 0.8422, relative_absolute_error: 0.5393, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.6924, scimark_benchmark: 1350.1007, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.7863, kappa: 0.5707, kb_relative_information_score: 2715.6693, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.7864, predictive_accuracy: 0.7862, prior_entropy: 0.9967, recall: 0.7862, relative_absolute_error: 0.4624, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.8789, scimark_benchmark: 1256.2802, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.844, kappa: 0.6863, kb_relative_information_score: 2954.4532, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8442, predictive_accuracy: 0.8442, prior_entropy: 0.9967, recall: 0.8442, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6781, scimark_benchmark: 1319.5773, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8343, kappa: 0.6666, kb_relative_information_score: 2817.4991, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8364, predictive_accuracy: 0.835, prior_entropy: 0.9967, recall: 0.835, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.683, scimark_benchmark: 1342.9012, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8639, kappa: 0.7262, kb_relative_information_score: 2968.0657, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8646, predictive_accuracy: 0.8642, prior_entropy: 0.9967, recall: 0.8642, relative_absolute_error: 0.4385, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6361, scimark_benchmark: 1349.9109, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8343, kappa: 0.6666, kb_relative_information_score: 2817.4991, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8364, predictive_accuracy: 0.835, prior_entropy: 0.9967, recall: 0.835, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.683, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8349, kappa: 0.668, kb_relative_information_score: 2842.0945, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8353, predictive_accuracy: 0.8352, prior_entropy: 0.9967, recall: 0.8352, relative_absolute_error: 0.4579, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7274, scimark_benchmark: 1325.6322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.836, kappa: 0.6702, kb_relative_information_score: 2966.6222, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8362, predictive_accuracy: 0.8362, prior_entropy: 0.9967, recall: 0.8362, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.7322, scimark_benchmark: 1349.3723, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.8763, kappa: 0.7514, kb_relative_information_score: 2305.7705, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8764, predictive_accuracy: 0.8764, prior_entropy: 0.9967, recall: 0.8764, relative_absolute_error: 0.5893, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.339, root_relative_squared_error: 0.6795, scimark_benchmark: 1253.0071, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, f_measure: 0.6824, kappa: 0.362, kb_relative_information_score: 1802.7461, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.6825, predictive_accuracy: 0.6824, prior_entropy: 0.9967, recall: 0.6824, relative_absolute_error: 0.6381, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5636, root_relative_squared_error: 1.1297, scimark_benchmark: 1315.5063, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8343, kappa: 0.6666, kb_relative_information_score: 2817.4991, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8364, predictive_accuracy: 0.835, prior_entropy: 0.9967, recall: 0.835, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.683, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.8763, kappa: 0.7514, kb_relative_information_score: 2305.7705, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8764, predictive_accuracy: 0.8764, prior_entropy: 0.9967, recall: 0.8764, relative_absolute_error: 0.5893, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.339, root_relative_squared_error: 0.6795, scimark_benchmark: 1260.1387, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8343, kappa: 0.6666, kb_relative_information_score: 2817.4991, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8364, predictive_accuracy: 0.835, prior_entropy: 0.9967, recall: 0.835, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.683, scimark_benchmark: 1297.2338, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.836, kappa: 0.6702, kb_relative_information_score: 2966.6222, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8362, predictive_accuracy: 0.8362, prior_entropy: 0.9967, recall: 0.8362, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.7322, scimark_benchmark: 1344.4042, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8349, kappa: 0.668, kb_relative_information_score: 2842.0945, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8353, predictive_accuracy: 0.8352, prior_entropy: 0.9967, recall: 0.8352, relative_absolute_error: 0.4579, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7274, scimark_benchmark: 1384.4422, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8343, kappa: 0.6666, kb_relative_information_score: 2817.4991, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8364, predictive_accuracy: 0.835, prior_entropy: 0.9967, recall: 0.835, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.683, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.8224, kappa: 0.6429, kb_relative_information_score: 2763.7574, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8262, predictive_accuracy: 0.8236, prior_entropy: 0.9967, recall: 0.8236, relative_absolute_error: 0.4696, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6898, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.8224, kappa: 0.6429, kb_relative_information_score: 2763.7574, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8262, predictive_accuracy: 0.8236, prior_entropy: 0.9967, recall: 0.8236, relative_absolute_error: 0.4696, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6898, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.8649, kappa: 0.7283, kb_relative_information_score: 2042.0268, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8665, predictive_accuracy: 0.8654, prior_entropy: 0.9967, recall: 0.8654, relative_absolute_error: 0.6479, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7088, scimark_benchmark: 1329.4762, usercpu_time_millis: 530, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8343, kappa: 0.6666, kb_relative_information_score: 2817.4991, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8364, predictive_accuracy: 0.835, prior_entropy: 0.9967, recall: 0.835, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.683, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8419, kappa: 0.682, kb_relative_information_score: 2489.3603, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8424, predictive_accuracy: 0.8422, prior_entropy: 0.9967, recall: 0.8422, relative_absolute_error: 0.5393, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.6924, scimark_benchmark: 1337.7947, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8343, kappa: 0.6666, kb_relative_information_score: 2817.4991, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8364, predictive_accuracy: 0.835, prior_entropy: 0.9967, recall: 0.835, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.683, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8343, kappa: 0.6666, kb_relative_information_score: 2817.4991, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8364, predictive_accuracy: 0.835, prior_entropy: 0.9967, recall: 0.835, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.683, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8349, kappa: 0.668, kb_relative_information_score: 2842.0945, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8353, predictive_accuracy: 0.8352, prior_entropy: 0.9967, recall: 0.8352, relative_absolute_error: 0.4579, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7274, scimark_benchmark: 1329.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8343, kappa: 0.6666, kb_relative_information_score: 2817.4991, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8364, predictive_accuracy: 0.835, prior_entropy: 0.9967, recall: 0.835, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.683, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8343, kappa: 0.6666, kb_relative_information_score: 2817.4991, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8364, predictive_accuracy: 0.835, prior_entropy: 0.9967, recall: 0.835, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.683, scimark_benchmark: 1380.2233, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8639, kappa: 0.7262, kb_relative_information_score: 2968.0657, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8646, predictive_accuracy: 0.8642, prior_entropy: 0.9967, recall: 0.8642, relative_absolute_error: 0.4385, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6361, scimark_benchmark: 1322.7383, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.8224, kappa: 0.6429, kb_relative_information_score: 2763.7574, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8262, predictive_accuracy: 0.8236, prior_entropy: 0.9967, recall: 0.8236, relative_absolute_error: 0.4696, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6898, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.844, kappa: 0.6863, kb_relative_information_score: 2954.4532, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8442, predictive_accuracy: 0.8442, prior_entropy: 0.9967, recall: 0.8442, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6781, scimark_benchmark: 1346.3935, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6706, f_measure: 0.61, kappa: 0.2176, kb_relative_information_score: 1132.9212, mean_absolute_error: 0.3841, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.614, predictive_accuracy: 0.6152, prior_entropy: 0.9967, recall: 0.6152, relative_absolute_error: 0.7717, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5871, root_relative_squared_error: 1.1769, scimark_benchmark: 1318.6149, usercpu_time_millis: 16940, usercpu_time_millis_testing: 16940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8419, kappa: 0.682, kb_relative_information_score: 2489.3603, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8424, predictive_accuracy: 0.8422, prior_entropy: 0.9967, recall: 0.8422, relative_absolute_error: 0.5393, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.6924, scimark_benchmark: 1349.7981, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6462, f_measure: 0.6671, kappa: 0.3305, kb_relative_information_score: 838.292, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.6687, predictive_accuracy: 0.6692, prior_entropy: 0.9967, recall: 0.6692, relative_absolute_error: 0.8604, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9488, scimark_benchmark: 1340.1351, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.8561, kappa: 0.7108, kb_relative_information_score: 3389.2168, mean_absolute_error: 0.1641, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8561, predictive_accuracy: 0.8562, prior_entropy: 0.9967, recall: 0.8562, relative_absolute_error: 0.3297, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6606, scimark_benchmark: 1339.9935, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8717, kappa: 0.7419, kb_relative_information_score: 2974.7818, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8726, predictive_accuracy: 0.872, prior_entropy: 0.9967, recall: 0.872, relative_absolute_error: 0.4413, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.617, scimark_benchmark: 916.6405, usercpu_time_millis: 880, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 860,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8419, kappa: 0.682, kb_relative_information_score: 2489.3603, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8424, predictive_accuracy: 0.8422, prior_entropy: 0.9967, recall: 0.8422, relative_absolute_error: 0.5393, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.6924, scimark_benchmark: 883.2709, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7132, f_measure: 0.6516, kappa: 0.2994, kb_relative_information_score: 972.8345, mean_absolute_error: 0.4105, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.6515, predictive_accuracy: 0.652, prior_entropy: 0.9967, recall: 0.652, relative_absolute_error: 0.8248, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.467, root_relative_squared_error: 0.9362, scimark_benchmark: 882.7843, usercpu_time_millis: 220, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 190,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6456, f_measure: 0.6471, kappa: 0.291, kb_relative_information_score: 1446.392, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.6472, predictive_accuracy: 0.647, prior_entropy: 0.9967, recall: 0.647, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5941, root_relative_squared_error: 1.191, scimark_benchmark: 1332.6319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.8242, kappa: 0.6467, kb_relative_information_score: 3161.2902, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8242, predictive_accuracy: 0.8242, prior_entropy: 0.9967, recall: 0.8242, relative_absolute_error: 0.3722, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8211, scimark_benchmark: 1321.527, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.844, kappa: 0.6863, kb_relative_information_score: 2954.4532, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8442, predictive_accuracy: 0.8442, prior_entropy: 0.9967, recall: 0.8442, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6781, scimark_benchmark: 1356.2994, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.844, kappa: 0.6863, kb_relative_information_score: 2954.4532, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8442, predictive_accuracy: 0.8442, prior_entropy: 0.9967, recall: 0.8442, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6781, scimark_benchmark: 1327.9952, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8419, kappa: 0.682, kb_relative_information_score: 2489.3603, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8424, predictive_accuracy: 0.8422, prior_entropy: 0.9967, recall: 0.8422, relative_absolute_error: 0.5393, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.6924, scimark_benchmark: 1321.8733, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.8505, kappa: 0.6993, kb_relative_information_score: 3357.2894, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8511, predictive_accuracy: 0.8508, prior_entropy: 0.9967, recall: 0.8508, relative_absolute_error: 0.3314, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7185, scimark_benchmark: 918.6005, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.8553, kappa: 0.7091, kb_relative_information_score: 3253.9117, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8553, predictive_accuracy: 0.8554, prior_entropy: 0.9967, recall: 0.8554, relative_absolute_error: 0.3626, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6503, scimark_benchmark: 1341.8761, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8639, kappa: 0.7262, kb_relative_information_score: 2968.0657, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8646, predictive_accuracy: 0.8642, prior_entropy: 0.9967, recall: 0.8642, relative_absolute_error: 0.4385, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6361, scimark_benchmark: 1321.76, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4906, f_measure: 0.4325, kappa: 0.0102, kb_relative_information_score: -77.9251, mean_absolute_error: 0.5045, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.5112, predictive_accuracy: 0.4844, prior_entropy: 0.9967, recall: 0.4844, relative_absolute_error: 1.0138, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0608, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.3718, kb_relative_information_score: -0.3404, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.2852, predictive_accuracy: 0.534, prior_entropy: 0.9967, recall: 0.534, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4989, root_relative_squared_error: 1, scimark_benchmark: 899.5042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.505, f_measure: 0.3984, kappa: 0.0235, kb_relative_information_score: -33.4445, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.5349, predictive_accuracy: 0.486, prior_entropy: 0.9967, recall: 0.486, relative_absolute_error: 1.0045, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0022, scimark_benchmark: 932.0242, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.8585, kappa: 0.7155, kb_relative_information_score: 2032.9319, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8599, predictive_accuracy: 0.859, prior_entropy: 0.9967, recall: 0.859, relative_absolute_error: 0.6475, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7159, scimark_benchmark: 1028.5889, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8512, kappa: 0.7007, kb_relative_information_score: 2104.7543, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8522, predictive_accuracy: 0.8516, prior_entropy: 0.9967, recall: 0.8516, relative_absolute_error: 0.6304, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7121, scimark_benchmark: 1363.454, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.8383, kappa: 0.6747, kb_relative_information_score: 2563.5932, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8395, predictive_accuracy: 0.8388, prior_entropy: 0.9967, recall: 0.8388, relative_absolute_error: 0.5216, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.6923, scimark_benchmark: 937.1527, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8681, kappa: 0.7346, kb_relative_information_score: 2978.6348, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8689, predictive_accuracy: 0.8684, prior_entropy: 0.9967, recall: 0.8684, relative_absolute_error: 0.4394, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.6196, scimark_benchmark: 925.4974, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.8659, kappa: 0.7302, kb_relative_information_score: 2965.9422, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8668, predictive_accuracy: 0.8662, prior_entropy: 0.9967, recall: 0.8662, relative_absolute_error: 0.4407, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.627, scimark_benchmark: 889.3151, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8528, kappa: 0.704, kb_relative_information_score: 3233.9721, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8537, predictive_accuracy: 0.8532, prior_entropy: 0.9967, recall: 0.8532, relative_absolute_error: 0.3704, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7241, scimark_benchmark: 869.6028, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.8623, kappa: 0.7233, kb_relative_information_score: 3426.065, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8623, predictive_accuracy: 0.8624, prior_entropy: 0.9967, recall: 0.8624, relative_absolute_error: 0.3238, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.6426, scimark_benchmark: 909.1698, usercpu_time_millis: 790, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.8662, kappa: 0.731, kb_relative_information_score: 3356.9649, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8664, predictive_accuracy: 0.8664, prior_entropy: 0.9967, recall: 0.8664, relative_absolute_error: 0.3425, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.313, root_relative_squared_error: 0.6275, scimark_benchmark: 937.1527, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8589, kappa: 0.7163, kb_relative_information_score: 3194.2794, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8594, predictive_accuracy: 0.8592, prior_entropy: 0.9967, recall: 0.8592, relative_absolute_error: 0.3807, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.6299, scimark_benchmark: 916.6405, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8513, kappa: 0.701, kb_relative_information_score: 2876.6935, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8513, predictive_accuracy: 0.8514, prior_entropy: 0.9967, recall: 0.8514, relative_absolute_error: 0.4517, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.6611, scimark_benchmark: 1304.6687, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.8287, kappa: 0.6555, kb_relative_information_score: 2436.8264, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8287, predictive_accuracy: 0.8288, prior_entropy: 0.9967, recall: 0.8288, relative_absolute_error: 0.5457, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.7165, scimark_benchmark: 943.1756, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6545, f_measure: 0.6061, kappa: 0.2148, kb_relative_information_score: 746.3244, mean_absolute_error: 0.4286, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.6169, predictive_accuracy: 0.616, prior_entropy: 0.9967, recall: 0.616, relative_absolute_error: 0.8612, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9936, scimark_benchmark: 933.3136, usercpu_time_millis: 110, usercpu_time_millis_testing: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6473, f_measure: 0.6158, kappa: 0.2305, kb_relative_information_score: 868.8252, mean_absolute_error: 0.4151, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.6219, predictive_accuracy: 0.6222, prior_entropy: 0.9967, recall: 0.6222, relative_absolute_error: 0.834, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5139, root_relative_squared_error: 1.0303, scimark_benchmark: 942.9518, usercpu_time_millis: 130, usercpu_time_millis_testing: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5363, f_measure: 0.4845, kappa: 0.0698, kb_relative_information_score: 151.8399, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.5537, predictive_accuracy: 0.5184, prior_entropy: 0.9967, recall: 0.5184, relative_absolute_error: 0.9677, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.694, root_relative_squared_error: 1.3912, scimark_benchmark: 889.3151, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, f_measure: 0.3751, kappa: 0.0025, kb_relative_information_score: 318.9438, mean_absolute_error: 0.465, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.6244, predictive_accuracy: 0.535, prior_entropy: 0.9967, recall: 0.535, relative_absolute_error: 0.9343, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.6819, root_relative_squared_error: 1.367, scimark_benchmark: 889.3151, usercpu_time_millis: 300, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6644, f_measure: 0.6662, kappa: 0.329, kb_relative_information_score: 1641.6821, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.6661, predictive_accuracy: 0.6664, prior_entropy: 0.9967, recall: 0.6664, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5776, root_relative_squared_error: 1.1578, scimark_benchmark: 889.3151, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7224, f_measure: 0.6932, kappa: 0.383, kb_relative_information_score: 828.8412, mean_absolute_error: 0.429, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.6933, predictive_accuracy: 0.6938, prior_entropy: 0.9967, recall: 0.6938, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9226, scimark_benchmark: 1321.527, usercpu_time_millis: 80, usercpu_time_millis_training: 80,

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