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Function: sql

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File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
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File: /var/www/openml/index.php
Line: 337
Function: require_once

OpenML
OpenML
Supervised Classification on delta_ailerons

Supervised Classification on delta_ailerons

Task 3668 Supervised Classification delta_ailerons 565 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, build_cpu_time: 3.5194, build_memory: 1397800008.459, f_measure: 0.937, kappa: 0.8735, kb_relative_information_score: 5997.8784, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.937, predictive_accuracy: 0.937, prior_entropy: 0.9973, recall: 0.937, relative_absolute_error: 0.167, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.4651, scimark_benchmark: 937.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, build_cpu_time: 3.6475, build_memory: 751838161.6159, f_measure: 0.937, kappa: 0.8735, kb_relative_information_score: 5997.8784, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.937, predictive_accuracy: 0.937, prior_entropy: 0.9973, recall: 0.937, relative_absolute_error: 0.167, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.4651, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, build_cpu_time: 2.9012, build_memory: 740169128.3277, f_measure: 0.9371, kappa: 0.8738, kb_relative_information_score: 5997.5322, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9372, predictive_accuracy: 0.9372, prior_entropy: 0.9973, recall: 0.9372, relative_absolute_error: 0.167, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.4652, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, build_cpu_time: 2.2877, build_memory: 755662981.9038, f_measure: 0.9369, kappa: 0.8732, kb_relative_information_score: 5975.2246, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9369, predictive_accuracy: 0.9369, prior_entropy: 0.9973, recall: 0.9369, relative_absolute_error: 0.1711, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.233, root_relative_squared_error: 0.4669, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, build_cpu_time: 1.8101, build_memory: 1002725490.9121, f_measure: 0.9346, kappa: 0.8688, kb_relative_information_score: 6205.8399, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9347, predictive_accuracy: 0.9346, prior_entropy: 0.9973, recall: 0.9346, relative_absolute_error: 0.129, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.4906, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, build_cpu_time: 4.7068, build_memory: 1839197126.3302, f_measure: 0.9393, kappa: 0.878, kb_relative_information_score: 6258.6074, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9393, predictive_accuracy: 0.9393, prior_entropy: 0.9973, recall: 0.9393, relative_absolute_error: 0.1218, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.4873, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, build_cpu_time: 7.9804, build_memory: 109483683.6987, f_measure: 0.9405, kappa: 0.8805, kb_relative_information_score: 6280.3046, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9405, predictive_accuracy: 0.9405, prior_entropy: 0.9973, recall: 0.9405, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.4839, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, build_cpu_time: 19.1041, build_memory: 151739324.2531, f_measure: 0.9409, kappa: 0.8814, kb_relative_information_score: 6278.8638, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9409, predictive_accuracy: 0.9409, prior_entropy: 0.9973, recall: 0.9409, relative_absolute_error: 0.1191, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.4858, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, build_cpu_time: 46.4156, build_memory: 601361857.8247, f_measure: 0.943, kappa: 0.8856, kb_relative_information_score: 6310.4141, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9431, predictive_accuracy: 0.9431, prior_entropy: 0.9973, recall: 0.9431, relative_absolute_error: 0.1147, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.478, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, build_cpu_time: 2.5489, build_memory: 449147632.6419, f_measure: 0.9139, kappa: 0.8271, kb_relative_information_score: 5892.9779, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9139, predictive_accuracy: 0.9139, prior_entropy: 0.9973, recall: 0.9139, relative_absolute_error: 0.1732, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.588, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, build_cpu_time: 2.9934, build_memory: 556843474.5126, f_measure: 0.9139, kappa: 0.8271, kb_relative_information_score: 5892.9779, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9139, predictive_accuracy: 0.9139, prior_entropy: 0.9973, recall: 0.9139, relative_absolute_error: 0.1732, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.588, scimark_benchmark: 945.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, build_cpu_time: 1.5339, build_memory: 63603503.1606, f_measure: 0.9386, kappa: 0.8767, kb_relative_information_score: 5883.4315, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9389, predictive_accuracy: 0.9387, prior_entropy: 0.9973, recall: 0.9387, relative_absolute_error: 0.1912, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.4519, scimark_benchmark: 934.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, build_cpu_time: 36.9617, build_memory: 1281309776.4309, f_measure: 0.9394, kappa: 0.8783, kb_relative_information_score: 6256.4164, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 0.9973, recall: 0.9394, relative_absolute_error: 0.1224, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.4826, scimark_benchmark: 919.5937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, build_cpu_time: 27.246, build_memory: 1067353925.6692, f_measure: 0.9391, kappa: 0.8777, kb_relative_information_score: 6246.6545, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9391, predictive_accuracy: 0.9391, prior_entropy: 0.9973, recall: 0.9391, relative_absolute_error: 0.1237, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.4846, scimark_benchmark: 940.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, build_cpu_time: 17.3965, build_memory: 1326435149.1901, f_measure: 0.9387, kappa: 0.8769, kb_relative_information_score: 6249.3954, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9387, predictive_accuracy: 0.9387, prior_entropy: 0.9973, recall: 0.9387, relative_absolute_error: 0.1234, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2402, root_relative_squared_error: 0.4813, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, build_cpu_time: 9.9353, build_memory: 2366684292.3877, f_measure: 0.9345, kappa: 0.8685, kb_relative_information_score: 6169.9717, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9345, predictive_accuracy: 0.9345, prior_entropy: 0.9973, recall: 0.9345, relative_absolute_error: 0.1347, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.4941, scimark_benchmark: 892.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.3437, build_memory: 583656096.8529, f_measure: 0.2998, kb_relative_information_score: -478.1662, mean_absolute_error: 0.5306, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.2203, predictive_accuracy: 0.4694, prior_entropy: 0.9973, recall: 0.4694, relative_absolute_error: 1.0653, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.7285, root_relative_squared_error: 1.4597, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, build_cpu_time: 2.4301, build_memory: 681571185.4577, f_measure: 0.9392, kappa: 0.8779, kb_relative_information_score: 5915.048, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9394, predictive_accuracy: 0.9393, prior_entropy: 0.9973, recall: 0.9393, relative_absolute_error: 0.1839, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.4476, scimark_benchmark: 913.4921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, build_cpu_time: 0.0228, build_memory: 797942621.5705, f_measure: 0.9446, kappa: 0.8887, kb_relative_information_score: 6002.6975, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9446, predictive_accuracy: 0.9446, prior_entropy: 0.9973, recall: 0.9446, relative_absolute_error: 0.1716, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4318, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, build_cpu_time: 1.7922, build_memory: 1023630619.4462, f_measure: 0.9444, kappa: 0.8884, kb_relative_information_score: 5945.0729, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9445, predictive_accuracy: 0.9445, prior_entropy: 0.9973, recall: 0.9445, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.4266, scimark_benchmark: 915.0385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, build_cpu_time: 0.4006, build_memory: 831337138.0435, f_measure: 0.942, kappa: 0.8836, kb_relative_information_score: 5852.197, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9422, predictive_accuracy: 0.9421, prior_entropy: 0.9973, recall: 0.9421, relative_absolute_error: 0.2005, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.4621, scimark_benchmark: 936.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, build_cpu_time: 94.0367, build_memory: 555631791.4557, f_measure: 0.9383, kappa: 0.8761, kb_relative_information_score: 6246.2132, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9389, predictive_accuracy: 0.9384, prior_entropy: 0.9973, recall: 0.9384, relative_absolute_error: 0.1236, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.4972, scimark_benchmark: 936.7073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, build_cpu_time: 0.0011, build_memory: 429169759.2762, f_measure: 0.9139, kappa: 0.8271, kb_relative_information_score: 5892.9779, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9139, predictive_accuracy: 0.9139, prior_entropy: 0.9973, recall: 0.9139, relative_absolute_error: 0.1732, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.588, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, build_cpu_time: 0.1274, build_memory: 905633042.3555, f_measure: 0.9402, kappa: 0.8798, kb_relative_information_score: 6272.3547, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9406, predictive_accuracy: 0.9402, prior_entropy: 0.9973, recall: 0.9402, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2445, root_relative_squared_error: 0.4898, scimark_benchmark: 909.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, build_cpu_time: 0.3091, build_memory: 177648383.8328, f_measure: 0.9396, kappa: 0.8787, kb_relative_information_score: 6264.3111, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.94, predictive_accuracy: 0.9397, prior_entropy: 0.9973, recall: 0.9397, relative_absolute_error: 0.1211, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2456, root_relative_squared_error: 0.4921, scimark_benchmark: 931.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, build_cpu_time: 0.1024, build_memory: 117728534.3538, f_measure: 0.9382, kappa: 0.8759, kb_relative_information_score: 5733.5411, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9384, predictive_accuracy: 0.9383, prior_entropy: 0.9973, recall: 0.9383, relative_absolute_error: 0.2155, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.4597, scimark_benchmark: 940.4464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, build_cpu_time: 0.0099, build_memory: 186861853.9475, f_measure: 0.9329, kappa: 0.8652, kb_relative_information_score: 5904.6875, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 0.9973, recall: 0.933, relative_absolute_error: 0.1811, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.4853, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, build_cpu_time: 0.1173, build_memory: 395499768.4466, f_measure: 0.9425, kappa: 0.8844, kb_relative_information_score: 5908.6949, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9425, predictive_accuracy: 0.9425, prior_entropy: 0.9973, recall: 0.9425, relative_absolute_error: 0.1898, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.4624, scimark_benchmark: 938.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, build_cpu_time: 0.0132, build_memory: 42613814.8688, f_measure: 0.9329, kappa: 0.8652, kb_relative_information_score: 5904.6875, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 0.9973, recall: 0.933, relative_absolute_error: 0.1811, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.4853, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, build_cpu_time: 0.0103, build_memory: 231124774.907, f_measure: 0.9329, kappa: 0.8652, kb_relative_information_score: 5904.6875, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 0.9973, recall: 0.933, relative_absolute_error: 0.1811, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.4853, scimark_benchmark: 946.9694,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.3884, build_memory: 304310161.3634, f_measure: 0.2998, kb_relative_information_score: -478.1662, mean_absolute_error: 0.5306, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.2203, predictive_accuracy: 0.4694, prior_entropy: 0.9973, recall: 0.4694, relative_absolute_error: 1.0653, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.7285, root_relative_squared_error: 1.4597, scimark_benchmark: 932.8271,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, build_cpu_time: 85.5956, build_memory: 195809280.8764, f_measure: 0.944, kappa: 0.8875, kb_relative_information_score: 5964.7475, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9441, predictive_accuracy: 0.944, prior_entropy: 0.9973, recall: 0.944, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4281, scimark_benchmark: 876.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, build_cpu_time: 111.2863, build_memory: 1526605747.4103, f_measure: 0.9444, kappa: 0.8884, kb_relative_information_score: 5969.1924, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9445, predictive_accuracy: 0.9445, prior_entropy: 0.9973, recall: 0.9445, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.4246, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, build_cpu_time: 234.1887, build_memory: 2219676396.9107, f_measure: 0.9437, kappa: 0.887, kb_relative_information_score: 5969.4394, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9438, predictive_accuracy: 0.9438, prior_entropy: 0.9973, recall: 0.9438, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.4237, scimark_benchmark: 942.9632,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, build_cpu_time: 8.1903, build_memory: 616449292.4629, f_measure: 0.9419, kappa: 0.8832, kb_relative_information_score: 6290.2212, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9422, predictive_accuracy: 0.9419, prior_entropy: 0.9973, recall: 0.9419, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.4757, scimark_benchmark: 934.1739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, build_cpu_time: 4.7512, build_memory: 130896572.9196, f_measure: 0.9413, kappa: 0.8821, kb_relative_information_score: 6284.3007, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9415, predictive_accuracy: 0.9414, prior_entropy: 0.9973, recall: 0.9414, relative_absolute_error: 0.1185, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2382, root_relative_squared_error: 0.4772, scimark_benchmark: 944.5683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, build_cpu_time: 2.3561, build_memory: 86108040.5072, f_measure: 0.9395, kappa: 0.8784, kb_relative_information_score: 6267.0716, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9398, predictive_accuracy: 0.9395, prior_entropy: 0.9973, recall: 0.9395, relative_absolute_error: 0.1208, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.242, root_relative_squared_error: 0.4849, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, build_cpu_time: 70.6748, build_memory: 2588146488.2951, f_measure: 0.9445, kappa: 0.8886, kb_relative_information_score: 5923.5009, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9448, predictive_accuracy: 0.9446, prior_entropy: 0.9973, recall: 0.9446, relative_absolute_error: 0.1876, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.214, root_relative_squared_error: 0.4289, scimark_benchmark: 944.2573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, build_cpu_time: 148.6522, build_memory: 1733212949.5649, f_measure: 0.9437, kappa: 0.8869, kb_relative_information_score: 5921.9264, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9439, predictive_accuracy: 0.9438, prior_entropy: 0.9973, recall: 0.9438, relative_absolute_error: 0.1879, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.214, root_relative_squared_error: 0.4288, scimark_benchmark: 947.1306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, build_cpu_time: 12.2448, build_memory: 1212977213.7063, f_measure: 0.9448, kappa: 0.8892, kb_relative_information_score: 5981.1993, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.945, predictive_accuracy: 0.9449, prior_entropy: 0.9973, recall: 0.9449, relative_absolute_error: 0.1762, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.4231, scimark_benchmark: 942.7087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, build_cpu_time: 6.0107, build_memory: 375482623.2414, f_measure: 0.9444, kappa: 0.8884, kb_relative_information_score: 5980.9944, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9445, predictive_accuracy: 0.9445, prior_entropy: 0.9973, recall: 0.9445, relative_absolute_error: 0.1761, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4235, scimark_benchmark: 947.5636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, build_cpu_time: 3.8658, build_memory: 1397114780.5123, f_measure: 0.9454, kappa: 0.8904, kb_relative_information_score: 5979.1831, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9455, predictive_accuracy: 0.9454, prior_entropy: 0.9973, recall: 0.9454, relative_absolute_error: 0.1765, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.212, root_relative_squared_error: 0.4248, scimark_benchmark: 926.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, build_cpu_time: 1.6977, build_memory: 867256598.558, f_measure: 0.9447, kappa: 0.8889, kb_relative_information_score: 5981.7241, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9448, predictive_accuracy: 0.9447, prior_entropy: 0.9973, recall: 0.9447, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.4269, scimark_benchmark: 909.6181,

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

OpenML bootcamp

From your own software

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

OpenML APIs