OpenML
Supervised Classification on credit-approval

Supervised Classification on credit-approval

Task 1793 Supervised Classification credit-approval 371 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, build_cpu_time: 0.2531, build_memory: 952919620, f_measure: 0.845, kappa: 0.6862, kb_relative_information_score: 2361.5156, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.845, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.3139, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7833, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, build_cpu_time: 0.115, build_memory: 50952625.6, f_measure: 0.8418, kappa: 0.6797, kb_relative_information_score: 2328.6564, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8418, predictive_accuracy: 0.8417, prior_entropy: 0.9913, recall: 0.8417, relative_absolute_error: 0.3236, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7858, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, build_cpu_time: 0.0638, build_memory: 132803472.8, f_measure: 0.8339, kappa: 0.6638, kb_relative_information_score: 2291.2398, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8339, predictive_accuracy: 0.8339, prior_entropy: 0.9913, recall: 0.8339, relative_absolute_error: 0.334, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3875, root_relative_squared_error: 0.7797, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, build_cpu_time: 0.1567, build_memory: 695969703.2, f_measure: 0.8376, kappa: 0.6709, kb_relative_information_score: 2268.1358, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8375, predictive_accuracy: 0.8377, prior_entropy: 0.9913, recall: 0.8377, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.7437, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, build_cpu_time: 0.1809, build_memory: 1012058176, f_measure: 0.8426, kappa: 0.6812, kb_relative_information_score: 2313.6276, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8425, predictive_accuracy: 0.8426, prior_entropy: 0.9913, recall: 0.8426, relative_absolute_error: 0.3295, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7475, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, build_cpu_time: 0.2124, build_memory: 860932642.4, f_measure: 0.8443, kappa: 0.6847, kb_relative_information_score: 2321.5469, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8443, predictive_accuracy: 0.8443, prior_entropy: 0.9913, recall: 0.8443, relative_absolute_error: 0.3275, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7451, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, build_cpu_time: 0.2034, build_memory: 171156805.6, f_measure: 0.8443, kappa: 0.6847, kb_relative_information_score: 2321.5469, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8443, predictive_accuracy: 0.8443, prior_entropy: 0.9913, recall: 0.8443, relative_absolute_error: 0.3275, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7451, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, build_cpu_time: 12.4205, build_memory: 1065760655.2, f_measure: 0.8447, kappa: 0.6858, kb_relative_information_score: 2359.6378, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8449, predictive_accuracy: 0.8446, prior_entropy: 0.9913, recall: 0.8446, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.7832, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, build_cpu_time: 6.478, build_memory: 167697804.8, f_measure: 0.8459, kappa: 0.6885, kb_relative_information_score: 2364.1008, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8462, predictive_accuracy: 0.8458, prior_entropy: 0.9913, recall: 0.8458, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7753, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, build_cpu_time: 1.7274, build_memory: 81057051.2, f_measure: 0.8354, kappa: 0.6668, kb_relative_information_score: 2286.486, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8354, predictive_accuracy: 0.8354, prior_entropy: 0.9913, recall: 0.8354, relative_absolute_error: 0.3365, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7671, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, build_cpu_time: 0.887, build_memory: 571114304, f_measure: 0.8295, kappa: 0.6553, kb_relative_information_score: 2218.3665, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8299, predictive_accuracy: 0.8293, prior_entropy: 0.9913, recall: 0.8293, relative_absolute_error: 0.3572, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.377, root_relative_squared_error: 0.7585, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, build_cpu_time: 4.538, build_memory: 1582863444.8, f_measure: 0.8232, kappa: 0.6423, kb_relative_information_score: 2221.4651, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8233, predictive_accuracy: 0.8232, prior_entropy: 0.9913, recall: 0.8232, relative_absolute_error: 0.3537, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8054, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, build_cpu_time: 9.132, build_memory: 361940656, f_measure: 0.8334, kappa: 0.663, kb_relative_information_score: 2286.7361, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8336, predictive_accuracy: 0.8333, prior_entropy: 0.9913, recall: 0.8333, relative_absolute_error: 0.3353, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8013, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, build_cpu_time: 19.6912, build_memory: 47461250.4, f_measure: 0.8419, kappa: 0.6802, kb_relative_information_score: 2332.9964, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8421, predictive_accuracy: 0.8417, prior_entropy: 0.9913, recall: 0.8417, relative_absolute_error: 0.3222, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.7959, scimark_benchmark: 886.6397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, build_cpu_time: 42.9628, build_memory: 2135509996.8, f_measure: 0.8468, kappa: 0.69, kb_relative_information_score: 2371.8851, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.847, predictive_accuracy: 0.8467, prior_entropy: 0.9913, recall: 0.8467, relative_absolute_error: 0.3109, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.39, root_relative_squared_error: 0.7848, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, build_cpu_time: 80.3499, build_memory: 107754122.4, f_measure: 0.8456, kappa: 0.6878, kb_relative_information_score: 2365.6379, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8459, predictive_accuracy: 0.8455, prior_entropy: 0.9913, recall: 0.8455, relative_absolute_error: 0.3126, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7892, scimark_benchmark: 888.7575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, build_cpu_time: 88.3971, build_memory: 26266833.6, f_measure: 0.8429, kappa: 0.6821, kb_relative_information_score: 2345.7675, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.843, predictive_accuracy: 0.8429, prior_entropy: 0.9913, recall: 0.8429, relative_absolute_error: 0.3183, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7871, scimark_benchmark: 939.8137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, build_cpu_time: 42.1534, build_memory: 1010350991.2, f_measure: 0.8493, kappa: 0.695, kb_relative_information_score: 2374.4534, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8494, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.7661, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, build_cpu_time: 22.8217, build_memory: 25956536, f_measure: 0.8432, kappa: 0.6824, kb_relative_information_score: 2331.4838, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8431, predictive_accuracy: 0.8432, prior_entropy: 0.9913, recall: 0.8432, relative_absolute_error: 0.3237, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7659, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, build_cpu_time: 11.2962, build_memory: 34376960, f_measure: 0.8365, kappa: 0.6689, kb_relative_information_score: 2279.9212, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8365, predictive_accuracy: 0.8365, prior_entropy: 0.9913, recall: 0.8365, relative_absolute_error: 0.3396, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7565, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, build_cpu_time: 6.0573, build_memory: 32224124.8, f_measure: 0.8257, kappa: 0.6464, kb_relative_information_score: 2190.4302, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8258, predictive_accuracy: 0.8261, prior_entropy: 0.9913, recall: 0.8261, relative_absolute_error: 0.3664, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.7499, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, build_cpu_time: 0.0387, build_memory: 910158268, f_measure: 0.8109, kappa: 0.6161, kb_relative_information_score: 1950.7434, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8168, predictive_accuracy: 0.8133, prior_entropy: 0.9913, recall: 0.8133, relative_absolute_error: 0.4468, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3889, root_relative_squared_error: 0.7825, scimark_benchmark: 909.5718,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, build_cpu_time: 0.0073, build_memory: 258409552, f_measure: 0.7842, kappa: 0.5628, kb_relative_information_score: 1740.1349, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.7841, predictive_accuracy: 0.7843, prior_entropy: 0.9913, recall: 0.7843, relative_absolute_error: 0.5077, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8094, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, build_cpu_time: 0.0149, build_memory: 372715224, f_measure: 0.7855, kappa: 0.5659, kb_relative_information_score: 1856.5555, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.7856, predictive_accuracy: 0.7855, prior_entropy: 0.9913, recall: 0.7855, relative_absolute_error: 0.4668, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8243, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, build_cpu_time: 0.0313, build_memory: 1077750185.6, f_measure: 0.7826, kappa: 0.5597, kb_relative_information_score: 1872.1856, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.7825, predictive_accuracy: 0.7826, prior_entropy: 0.9913, recall: 0.7826, relative_absolute_error: 0.4592, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8601, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, build_cpu_time: 0.0611, build_memory: 211110701.6, f_measure: 0.7814, kappa: 0.5572, kb_relative_information_score: 1906.9834, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.7813, predictive_accuracy: 0.7814, prior_entropy: 0.9913, recall: 0.7814, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.8837, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, build_cpu_time: 0.1753, build_memory: 151145054.4, f_measure: 0.7817, kappa: 0.558, kb_relative_information_score: 1914.8043, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.7817, predictive_accuracy: 0.7817, prior_entropy: 0.9913, recall: 0.7817, relative_absolute_error: 0.4431, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9063, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, build_cpu_time: 1.2947, build_memory: 1000049956.8, f_measure: 0.8515, kappa: 0.699, kb_relative_information_score: 1888.6908, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8514, predictive_accuracy: 0.8516, prior_entropy: 0.9913, recall: 0.8516, relative_absolute_error: 0.4851, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.6892, scimark_benchmark: 937.5757,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, build_cpu_time: 0.3078, build_memory: 2301828177.6, f_measure: 0.8532, kappa: 0.7025, kb_relative_information_score: 1900.0641, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8532, predictive_accuracy: 0.8533, prior_entropy: 0.9913, recall: 0.8533, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6838, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, build_cpu_time: 0.2764, build_memory: 2134279068.8, f_measure: 0.852, kappa: 0.7002, kb_relative_information_score: 1892.9844, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.852, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.6866, scimark_benchmark: 924.9295,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, build_cpu_time: 0.0107, build_memory: 1061032380, f_measure: 0.7919, kappa: 0.5787, kb_relative_information_score: 1982.6015, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.7919, predictive_accuracy: 0.7919, prior_entropy: 0.9913, recall: 0.7919, relative_absolute_error: 0.4237, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.8988, scimark_benchmark: 946.9091,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.8485, kappa: 0.6944, kb_relative_information_score: 2010.6323, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8501, predictive_accuracy: 0.8481, prior_entropy: 0.9913, recall: 0.8481, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7081, scimark_benchmark: 939.9176, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.8494, kappa: 0.6968, kb_relative_information_score: 2047.4786, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8522, predictive_accuracy: 0.849, prior_entropy: 0.9913, recall: 0.849, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.335, root_relative_squared_error: 0.674, scimark_benchmark: 882.7843, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.8419, kappa: 0.6799, kb_relative_information_score: 1580.9647, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8419, predictive_accuracy: 0.842, prior_entropy: 0.9913, recall: 0.842, relative_absolute_error: 0.5883, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.7037, scimark_benchmark: 942.6843, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.8533, kappa: 0.7031, kb_relative_information_score: 1606.5857, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8534, predictive_accuracy: 0.8533, prior_entropy: 0.9913, recall: 0.8533, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.6898, scimark_benchmark: 860.584, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.838, kappa: 0.6712, kb_relative_information_score: 1871.0439, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8386, predictive_accuracy: 0.8386, prior_entropy: 0.9913, recall: 0.8386, relative_absolute_error: 0.4867, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.6799, scimark_benchmark: 1368.9272, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.7675, kappa: 0.5309, kb_relative_information_score: 1876.5781, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.7895, predictive_accuracy: 0.7751, prior_entropy: 0.9913, recall: 0.7751, relative_absolute_error: 0.4534, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4396, root_relative_squared_error: 0.8846, scimark_benchmark: 1307.4861, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.8369, kappa: 0.6708, kb_relative_information_score: 404.2961, mean_absolute_error: 0.4514, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8382, predictive_accuracy: 0.8365, prior_entropy: 0.9913, recall: 0.8365, relative_absolute_error: 0.9138, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9344, scimark_benchmark: 929.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.8051, kappa: 0.6047, kb_relative_information_score: 2075.3154, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8051, predictive_accuracy: 0.8055, prior_entropy: 0.9913, recall: 0.8055, relative_absolute_error: 0.3973, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.8849, scimark_benchmark: 915.6729, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8336, kappa: 0.6639, kb_relative_information_score: 2082.7369, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8344, predictive_accuracy: 0.8333, prior_entropy: 0.9913, recall: 0.8333, relative_absolute_error: 0.4092, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.7213, scimark_benchmark: 930.5999, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.8372, kappa: 0.6721, kb_relative_information_score: 2303.9771, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8395, predictive_accuracy: 0.8368, prior_entropy: 0.9913, recall: 0.8368, relative_absolute_error: 0.3304, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8129, scimark_benchmark: 1332.4146, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.7649, kappa: 0.5258, kb_relative_information_score: 1872.4028, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.7878, predictive_accuracy: 0.7728, prior_entropy: 0.9913, recall: 0.7728, relative_absolute_error: 0.4545, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8797, scimark_benchmark: 1332.4146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.852, kappa: 0.7023, kb_relative_information_score: 2055.7655, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8553, predictive_accuracy: 0.8516, prior_entropy: 0.9913, recall: 0.8516, relative_absolute_error: 0.4319, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.332, root_relative_squared_error: 0.668, scimark_benchmark: 1323.976, usercpu_time_millis: 510, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.8495, kappa: 0.6957, kb_relative_information_score: 2130.7521, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8499, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.4003, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.6648, scimark_benchmark: 1343.4572, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.843, kappa: 0.6824, kb_relative_information_score: 2153.1158, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8432, predictive_accuracy: 0.8429, prior_entropy: 0.9913, recall: 0.8429, relative_absolute_error: 0.3894, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6845, scimark_benchmark: 1321.8733, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8437, kappa: 0.6832, kb_relative_information_score: 2104.9143, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8439, predictive_accuracy: 0.8441, prior_entropy: 0.9913, recall: 0.8441, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.338, root_relative_squared_error: 0.6801, scimark_benchmark: 1341.7207, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8507, kappa: 0.6977, kb_relative_information_score: 2106.9095, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8507, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.6965, scimark_benchmark: 1327.9952, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.8227, kappa: 0.6406, kb_relative_information_score: 2115.3502, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8226, predictive_accuracy: 0.8229, prior_entropy: 0.9913, recall: 0.8229, relative_absolute_error: 0.3918, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8014, scimark_benchmark: 918.6005, usercpu_time_millis: 210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 1919.2849, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4816, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.6955, scimark_benchmark: 1332.6319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.838, kappa: 0.6712, kb_relative_information_score: 1871.0439, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8386, predictive_accuracy: 0.8386, prior_entropy: 0.9913, recall: 0.8386, relative_absolute_error: 0.4867, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.6799, scimark_benchmark: 1326.6647, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8451, kappa: 0.6889, kb_relative_information_score: 1908.4898, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8497, predictive_accuracy: 0.8446, prior_entropy: 0.9913, recall: 0.8446, relative_absolute_error: 0.4795, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.6937, scimark_benchmark: 1335.693, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.8522, kappa: 0.7056, kb_relative_information_score: 1888.2373, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8645, predictive_accuracy: 0.8519, prior_entropy: 0.9913, recall: 0.8519, relative_absolute_error: 0.4904, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.7, scimark_benchmark: 1264.6103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.8542, kappa: 0.7057, kb_relative_information_score: 1891.6542, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8539, prior_entropy: 0.9913, recall: 0.8539, relative_absolute_error: 0.4882, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.6688, scimark_benchmark: 932.0242, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.7685, kappa: 0.5328, kb_relative_information_score: 1894.219, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.7903, predictive_accuracy: 0.7759, prior_entropy: 0.9913, recall: 0.7759, relative_absolute_error: 0.4485, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.874, scimark_benchmark: 1330.7934, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.8449, kappa: 0.6854, kb_relative_information_score: 2108.1217, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9913, recall: 0.8452, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6935, scimark_benchmark: 1386.5717,

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