OpenML
Supervised Classification on Australian

Supervised Classification on Australian

Task 3032 Supervised Classification Australian 206 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8416, kappa: 0.679, kb_relative_information_score: 4212.7415, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8417, predictive_accuracy: 0.8419, prior_entropy: 0.9913, recall: 0.8419, relative_absolute_error: 0.4057, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.6967, scimark_benchmark: 1354.3488, usercpu_time_millis: 450, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8578, kappa: 0.7113, kb_relative_information_score: 4576.4928, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8589, predictive_accuracy: 0.8584, prior_entropy: 0.9913, recall: 0.8584, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6605, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8681, kappa: 0.7334, kb_relative_information_score: 4266.0388, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8685, predictive_accuracy: 0.868, prior_entropy: 0.9913, recall: 0.868, relative_absolute_error: 0.4096, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6237, scimark_benchmark: 942.9708, usercpu_time_millis: 370, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.868, kappa: 0.733, kb_relative_information_score: 4442.1912, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8682, predictive_accuracy: 0.8678, prior_entropy: 0.9913, recall: 0.8678, relative_absolute_error: 0.3784, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.6234, scimark_benchmark: 1264.9916, usercpu_time_millis: 2740, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 2640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8578, kappa: 0.7113, kb_relative_information_score: 4576.4928, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8589, predictive_accuracy: 0.8584, prior_entropy: 0.9913, recall: 0.8584, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6605, scimark_benchmark: 918.0213, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8578, kappa: 0.7113, kb_relative_information_score: 4576.4928, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8589, predictive_accuracy: 0.8584, prior_entropy: 0.9913, recall: 0.8584, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6605, scimark_benchmark: 918.0213, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8578, kappa: 0.7113, kb_relative_information_score: 4576.4928, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8589, predictive_accuracy: 0.8584, prior_entropy: 0.9913, recall: 0.8584, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6605, scimark_benchmark: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8543, kappa: 0.7043, kb_relative_information_score: 4629.1121, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8557, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3371, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.6776, scimark_benchmark: 1347.917, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8578, kappa: 0.7113, kb_relative_information_score: 4576.4928, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8589, predictive_accuracy: 0.8584, prior_entropy: 0.9913, recall: 0.8584, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6605, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.8553, kappa: 0.7113, kb_relative_information_score: 4862.3607, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.866, predictive_accuracy: 0.8549, prior_entropy: 0.9913, recall: 0.8549, relative_absolute_error: 0.2937, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7664, scimark_benchmark: 1380.2233, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8543, kappa: 0.7043, kb_relative_information_score: 4629.1121, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8557, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3371, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.6776, scimark_benchmark: 1350.073, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8578, kappa: 0.7113, kb_relative_information_score: 4576.4928, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8589, predictive_accuracy: 0.8584, prior_entropy: 0.9913, recall: 0.8584, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6605, scimark_benchmark: 1354.3488, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8543, kappa: 0.7043, kb_relative_information_score: 4629.1121, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8557, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3371, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.6776, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.8663, kappa: 0.729, kb_relative_information_score: 4346.8111, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8664, predictive_accuracy: 0.8665, prior_entropy: 0.9913, recall: 0.8665, relative_absolute_error: 0.3978, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.326, root_relative_squared_error: 0.656, scimark_benchmark: 1355.2525, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.8633, kappa: 0.7262, kb_relative_information_score: 4974.2996, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8704, predictive_accuracy: 0.8629, prior_entropy: 0.9913, recall: 0.8629, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7451, scimark_benchmark: 1339.8573, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.7814, kappa: 0.557, kb_relative_information_score: 3765.9776, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.7935, predictive_accuracy: 0.7861, prior_entropy: 0.9913, recall: 0.7861, relative_absolute_error: 0.4592, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8208, scimark_benchmark: 1337.6765, usercpu_time_millis: 3990, usercpu_time_millis_testing: 3990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8502, kappa: 0.6964, kb_relative_information_score: 3656.759, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8502, predictive_accuracy: 0.8504, prior_entropy: 0.9913, recall: 0.8504, relative_absolute_error: 0.5073, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6622, scimark_benchmark: 1064.8317, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.8475, kappa: 0.6913, kb_relative_information_score: 4318.1352, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8475, predictive_accuracy: 0.8475, prior_entropy: 0.9913, recall: 0.8475, relative_absolute_error: 0.3936, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7102, scimark_benchmark: 1327.2954, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.849, kappa: 0.6944, kb_relative_information_score: 4310.311, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.849, predictive_accuracy: 0.849, prior_entropy: 0.9913, recall: 0.849, relative_absolute_error: 0.3938, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.6501, scimark_benchmark: 1320.9026, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.8624, kappa: 0.7218, kb_relative_information_score: 4426.3, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8627, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3778, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.312, root_relative_squared_error: 0.6277, scimark_benchmark: 1292.1375, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.863, kappa: 0.7219, kb_relative_information_score: 3413.3479, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8642, predictive_accuracy: 0.8636, prior_entropy: 0.9913, recall: 0.8636, relative_absolute_error: 0.5552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.6648, scimark_benchmark: 1315.933, usercpu_time_millis: 560, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.8663, kappa: 0.729, kb_relative_information_score: 4346.8111, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8664, predictive_accuracy: 0.8665, prior_entropy: 0.9913, recall: 0.8665, relative_absolute_error: 0.3978, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.326, root_relative_squared_error: 0.656, scimark_benchmark: 950.6776, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8653, kappa: 0.7281, kb_relative_information_score: 4429.4158, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8663, predictive_accuracy: 0.8651, prior_entropy: 0.9913, recall: 0.8651, relative_absolute_error: 0.381, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.305, root_relative_squared_error: 0.6138, scimark_benchmark: 1318.8785, usercpu_time_millis: 1590, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.8663, kappa: 0.729, kb_relative_information_score: 4346.8111, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8664, predictive_accuracy: 0.8665, prior_entropy: 0.9913, recall: 0.8665, relative_absolute_error: 0.3978, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.326, root_relative_squared_error: 0.656, scimark_benchmark: 1371.9645, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.8557, kappa: 0.7122, kb_relative_information_score: 4868.4665, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8667, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.2928, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.7653, scimark_benchmark: 1151.3336, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.8618, kappa: 0.7204, kb_relative_information_score: 4870.8474, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.862, predictive_accuracy: 0.8617, prior_entropy: 0.9913, recall: 0.8617, relative_absolute_error: 0.2932, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.713, scimark_benchmark: 1353.2625, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8543, kappa: 0.7043, kb_relative_information_score: 4629.1121, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8557, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3371, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.6776, scimark_benchmark: 1321.5205, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8635, kappa: 0.7244, kb_relative_information_score: 4372.4138, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8646, predictive_accuracy: 0.8632, prior_entropy: 0.9913, recall: 0.8632, relative_absolute_error: 0.3886, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6341, scimark_benchmark: 1346.2133, usercpu_time_millis: 510, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.862, kappa: 0.72, kb_relative_information_score: 3436.504, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.863, predictive_accuracy: 0.8626, prior_entropy: 0.9913, recall: 0.8626, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.6652, scimark_benchmark: 1261.7298, usercpu_time_millis: 280, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 3945.2035, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4642, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.6793, scimark_benchmark: 1034.2235, usercpu_time_millis: 2060, usercpu_time_millis_testing: 2060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.7954, kappa: 0.586, kb_relative_information_score: 4014.313, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.7956, predictive_accuracy: 0.7952, prior_entropy: 0.9913, recall: 0.7952, relative_absolute_error: 0.4165, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9091, scimark_benchmark: 1331.5882, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.7954, kappa: 0.586, kb_relative_information_score: 4023.8371, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.7956, predictive_accuracy: 0.7952, prior_entropy: 0.9913, recall: 0.7952, relative_absolute_error: 0.4146, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9106, scimark_benchmark: 1327.9121, usercpu_time_millis: 630, usercpu_time_millis_testing: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.2753, kappa: -0.0003, kb_relative_information_score: -895.3658, mean_absolute_error: 0.5551, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.4755, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.1237, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.745, root_relative_squared_error: 1.4992, scimark_benchmark: 1298.4923, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.8549, kappa: 0.7105, kb_relative_information_score: 3812.9632, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8659, predictive_accuracy: 0.8545, prior_entropy: 0.9913, recall: 0.8545, relative_absolute_error: 0.4858, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6971, scimark_benchmark: 1301.7387, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8502, kappa: 0.6964, kb_relative_information_score: 3656.759, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8502, predictive_accuracy: 0.8504, prior_entropy: 0.9913, recall: 0.8504, relative_absolute_error: 0.5073, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6622, scimark_benchmark: 1249.4068, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7325, f_measure: 0.7837, kappa: 0.5672, kb_relative_information_score: 3149.1591, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.7912, predictive_accuracy: 0.783, prior_entropy: 0.9913, recall: 0.783, relative_absolute_error: 0.5695, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.8857, scimark_benchmark: 1318.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.849, kappa: 0.6944, kb_relative_information_score: 4310.311, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.849, predictive_accuracy: 0.849, prior_entropy: 0.9913, recall: 0.849, relative_absolute_error: 0.3938, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.6501, scimark_benchmark: 1305.7138, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.8479, kappa: 0.6924, kb_relative_information_score: 4423.6195, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8481, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.3711, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.6715, scimark_benchmark: 1305.7231, usercpu_time_millis: 590, usercpu_time_millis_training: 590,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.8553, kappa: 0.7113, kb_relative_information_score: 4862.3607, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.866, predictive_accuracy: 0.8549, prior_entropy: 0.9913, recall: 0.8549, relative_absolute_error: 0.2937, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7664, scimark_benchmark: 1307.8606, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.8426, kappa: 0.6811, kb_relative_information_score: 4188.4651, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8425, predictive_accuracy: 0.8426, prior_entropy: 0.9913, recall: 0.8426, relative_absolute_error: 0.4143, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.7461, scimark_benchmark: 1316.535, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8635, kappa: 0.7244, kb_relative_information_score: 4373.1469, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8646, predictive_accuracy: 0.8632, prior_entropy: 0.9913, recall: 0.8632, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3152, root_relative_squared_error: 0.6342, scimark_benchmark: 1333.5799, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.861, kappa: 0.7179, kb_relative_information_score: 3404.1392, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.862, predictive_accuracy: 0.8616, prior_entropy: 0.9913, recall: 0.8616, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6699, scimark_benchmark: 1313.5726, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.8646, kappa: 0.7267, kb_relative_information_score: 4426.5618, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8657, predictive_accuracy: 0.8643, prior_entropy: 0.9913, recall: 0.8643, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.6156, scimark_benchmark: 1341.468, usercpu_time_millis: 390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 380,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8622, kappa: 0.7215, kb_relative_information_score: 4287.7111, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8627, predictive_accuracy: 0.862, prior_entropy: 0.9913, recall: 0.862, relative_absolute_error: 0.4016, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.6412, scimark_benchmark: 825.5282, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.8441, kappa: 0.6848, kb_relative_information_score: 4279.3363, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8445, predictive_accuracy: 0.8439, prior_entropy: 0.9913, recall: 0.8439, relative_absolute_error: 0.3926, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6936, scimark_benchmark: 916.6405, usercpu_time_millis: 90, usercpu_time_millis_testing: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8362, kappa: 0.6686, kb_relative_information_score: 4247.4054, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8364, predictive_accuracy: 0.8361, prior_entropy: 0.9913, recall: 0.8361, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7236, scimark_benchmark: 940.3347, usercpu_time_millis: 80, usercpu_time_millis_testing: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.8407, kappa: 0.6769, kb_relative_information_score: 4669.0118, mean_absolute_error: 0.1588, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.841, predictive_accuracy: 0.8412, prior_entropy: 0.9913, recall: 0.8412, relative_absolute_error: 0.3216, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.802, scimark_benchmark: 1363.454, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 4864.396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766, scimark_benchmark: 885.0921, usercpu_time_millis: 290, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 4864.396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766, scimark_benchmark: 912.5006, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8632, kappa: 0.7242, kb_relative_information_score: 4228.2355, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8649, predictive_accuracy: 0.8629, prior_entropy: 0.9913, recall: 0.8629, relative_absolute_error: 0.4142, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.6402, scimark_benchmark: 1337.7959, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.8633, kappa: 0.7262, kb_relative_information_score: 4974.2996, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8704, predictive_accuracy: 0.8629, prior_entropy: 0.9913, recall: 0.8629, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7451, scimark_benchmark: 1304.9611, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.868, kappa: 0.733, kb_relative_information_score: 4442.178, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8682, predictive_accuracy: 0.8678, prior_entropy: 0.9913, recall: 0.8678, relative_absolute_error: 0.3784, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.6234, scimark_benchmark: 922.1419, usercpu_time_millis: 6860, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 6690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8416, kappa: 0.679, kb_relative_information_score: 4212.7415, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8417, predictive_accuracy: 0.8419, prior_entropy: 0.9913, recall: 0.8419, relative_absolute_error: 0.4057, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.6967, scimark_benchmark: 1376.7478, usercpu_time_millis: 530, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8681, kappa: 0.7334, kb_relative_information_score: 4266.0388, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8685, predictive_accuracy: 0.868, prior_entropy: 0.9913, recall: 0.868, relative_absolute_error: 0.4096, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6237, scimark_benchmark: 1327.8711, usercpu_time_millis: 400, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.8099, kappa: 0.615, kb_relative_information_score: 4231.4327, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8099, predictive_accuracy: 0.81, prior_entropy: 0.9913, recall: 0.81, relative_absolute_error: 0.3847, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8771, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.8473, kappa: 0.692, kb_relative_information_score: 4192.2526, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8488, predictive_accuracy: 0.847, prior_entropy: 0.9913, recall: 0.847, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.342, root_relative_squared_error: 0.6881, scimark_benchmark: 1335.4072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.8477, kappa: 0.693, kb_relative_information_score: 4034.0548, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8495, predictive_accuracy: 0.8474, prior_entropy: 0.9913, recall: 0.8474, relative_absolute_error: 0.4447, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.7004, scimark_benchmark: 1313.5726, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.8387, kappa: 0.674, kb_relative_information_score: 4630.342, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8394, predictive_accuracy: 0.8384, prior_entropy: 0.9913, recall: 0.8384, relative_absolute_error: 0.3271, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8089, scimark_benchmark: 1318.1432, usercpu_time_millis: 240, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4359, f_measure: 0.301, kappa: -0.117, kb_relative_information_score: -1595.4923, mean_absolute_error: 0.6049, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.3466, predictive_accuracy: 0.3951, prior_entropy: 0.9913, recall: 0.3951, relative_absolute_error: 1.2247, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.7778, root_relative_squared_error: 1.5651, scimark_benchmark: 1466.6185, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.8325, kappa: 0.6606, kb_relative_information_score: 4406.3592, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8324, predictive_accuracy: 0.8326, prior_entropy: 0.9913, recall: 0.8326, relative_absolute_error: 0.3674, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.7771, scimark_benchmark: 1351.788, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 4864.396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.8396, kappa: 0.6752, kb_relative_information_score: 4646.6241, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8396, predictive_accuracy: 0.8396, prior_entropy: 0.9913, recall: 0.8396, relative_absolute_error: 0.3248, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.806, scimark_benchmark: 1380.2233, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.3963, kb_relative_information_score: -0.4107, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1503.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, f_measure: 0.84, kappa: 0.6757, kb_relative_information_score: 4337.2112, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8399, predictive_accuracy: 0.8401, prior_entropy: 0.9913, recall: 0.8401, relative_absolute_error: 0.3861, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.741, scimark_benchmark: 1503.3362, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, build_cpu_time: 12.3396, build_memory: 1182091751.68, f_measure: 0.863, kappa: 0.7227, kb_relative_information_score: 4978.5485, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.863, predictive_accuracy: 0.863, prior_entropy: 0.9913, recall: 0.863, relative_absolute_error: 0.2771, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.732, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, build_cpu_time: 6.3625, build_memory: 1107684615.12, f_measure: 0.8635, kappa: 0.7237, kb_relative_information_score: 4988.3098, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8635, predictive_accuracy: 0.8635, prior_entropy: 0.9913, recall: 0.8635, relative_absolute_error: 0.2754, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7229, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, build_cpu_time: 3.503, build_memory: 905873874.32, f_measure: 0.8599, kappa: 0.7163, kb_relative_information_score: 4948.5692, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8599, predictive_accuracy: 0.86, prior_entropy: 0.9913, recall: 0.86, relative_absolute_error: 0.2811, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.7238, scimark_benchmark: 942.4851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, build_cpu_time: 1.7736, build_memory: 832819102.24, f_measure: 0.8595, kappa: 0.7153, kb_relative_information_score: 4948.0057, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8594, predictive_accuracy: 0.8596, prior_entropy: 0.9913, recall: 0.8596, relative_absolute_error: 0.281, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7205, scimark_benchmark: 945.6653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, build_cpu_time: 1.76, build_memory: 675139036.8, f_measure: 0.8595, kappa: 0.7153, kb_relative_information_score: 4948.0057, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8594, predictive_accuracy: 0.8596, prior_entropy: 0.9913, recall: 0.8596, relative_absolute_error: 0.281, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7205, scimark_benchmark: 939.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, build_cpu_time: 0.9299, build_memory: 1211293916.24, f_measure: 0.8579, kappa: 0.7121, kb_relative_information_score: 4908.7825, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8578, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.7259, scimark_benchmark: 897.921,

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