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File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
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Function: sql

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File: /var/www/openml/index.php
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Function: require_once

OpenML
Task
Supervised Classification on soybean

Supervised Classification on soybean

Task 1805 Supervised Classification soybean 320 runs submitted
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320 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.8805, kappa: 0.8702, kb_relative_information_score: 3050.2578, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.8895, predictive_accuracy: 0.882, prior_entropy: 3.8572, recall: 0.882, relative_absolute_error: 0.1793, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.4209, scimark_benchmark: 854.5188, usercpu_time_millis: 140, usercpu_time_millis_testing: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.7049, kappa: 0.7152, kb_relative_information_score: 603.1577, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.7949, predictive_accuracy: 0.7449, prior_entropy: 3.8572, recall: 0.7449, relative_absolute_error: 0.9838, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.9757, scimark_benchmark: 1372.2145, usercpu_time_millis: 3050, usercpu_time_millis_testing: 2240, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9219, kappa: 0.9146, kb_relative_information_score: 643.8404, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9232, predictive_accuracy: 0.9221, prior_entropy: 3.8572, recall: 0.9221, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.213, root_relative_squared_error: 0.9722, scimark_benchmark: 939.449, usercpu_time_millis: 880, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9289, kappa: 0.9223, kb_relative_information_score: 3178.7209, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9301, predictive_accuracy: 0.9291, prior_entropy: 3.8572, recall: 0.9291, relative_absolute_error: 0.0997, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.3506, scimark_benchmark: 916.5955, usercpu_time_millis: 4070, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9291, kappa: 0.9226, kb_relative_information_score: 3174.7072, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9301, predictive_accuracy: 0.9294, prior_entropy: 3.8572, recall: 0.9294, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.3934, scimark_benchmark: 916.9356, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9119, kappa: 0.904, kb_relative_information_score: 3105.9473, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9129, predictive_accuracy: 0.9124, prior_entropy: 3.8572, recall: 0.9124, relative_absolute_error: 0.119, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.4087, scimark_benchmark: 1309.3173, usercpu_time_millis: 16170, usercpu_time_millis_testing: 1280, usercpu_time_millis_training: 14890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.917, kappa: 0.9093, kb_relative_information_score: 2833.5374, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9207, predictive_accuracy: 0.9174, prior_entropy: 3.8572, recall: 0.9174, relative_absolute_error: 0.3278, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1015, root_relative_squared_error: 0.4632, scimark_benchmark: 1307.3269, usercpu_time_millis: 440, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.7834, kappa: 0.763, kb_relative_information_score: 2613.2827, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.7907, predictive_accuracy: 0.7842, prior_entropy: 3.8572, recall: 0.7842, relative_absolute_error: 0.2672, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.6667, scimark_benchmark: 1280.6952, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.7191, kappa: 0.718, kb_relative_information_score: 2465.8699, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.7321, predictive_accuracy: 0.7455, prior_entropy: 3.8572, recall: 0.7455, relative_absolute_error: 0.3753, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.6318, scimark_benchmark: 1319.9043, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.8962, kappa: 0.8887, kb_relative_information_score: 2995.0416, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9, predictive_accuracy: 0.8987, prior_entropy: 3.8572, recall: 0.8987, relative_absolute_error: 0.1788, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.4452, scimark_benchmark: 1339.7143, usercpu_time_millis: 680, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.904, kappa: 0.8973, kb_relative_information_score: 3085.0153, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9092, predictive_accuracy: 0.9063, prior_entropy: 3.8572, recall: 0.9063, relative_absolute_error: 0.1026, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.4533, scimark_benchmark: 1386.5717, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6539, f_measure: 0.3992, kappa: 0.2977, kb_relative_information_score: 1090.5552, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.6876, predictive_accuracy: 0.3362, prior_entropy: 3.8572, recall: 0.3362, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2643, root_relative_squared_error: 1.2064, scimark_benchmark: 1384.4418, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.8972, kappa: 0.8896, kb_relative_information_score: 3043.1687, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9, predictive_accuracy: 0.8993, prior_entropy: 3.8572, recall: 0.8993, relative_absolute_error: 0.1615, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.4367, scimark_benchmark: 1358.4523, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.662, f_measure: 0.2957, kappa: 0.3248, kb_relative_information_score: 1078.5228, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.2668, predictive_accuracy: 0.4053, prior_entropy: 3.8572, recall: 0.4053, relative_absolute_error: 0.6513, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2502, root_relative_squared_error: 1.1419, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.8506, kappa: 0.8368, kb_relative_information_score: 2900.4079, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.8609, predictive_accuracy: 0.851, prior_entropy: 3.8572, recall: 0.851, relative_absolute_error: 0.1632, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.5717, scimark_benchmark: 1028.5889, usercpu_time_millis: 1200, usercpu_time_millis_training: 1200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.032, kb_relative_information_score: 9.2729, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.0181, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.8843, kappa: 0.876, kb_relative_information_score: 2999.8529, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.8859, predictive_accuracy: 0.887, prior_entropy: 3.8572, recall: 0.887, relative_absolute_error: 0.1757, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.4455, scimark_benchmark: 1054.3694, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, build_cpu_time: 31.6833, build_memory: 1584755654.578, f_measure: 0.9138, kappa: 0.9056, kb_relative_information_score: 3134.9799, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9144, predictive_accuracy: 0.9139, prior_entropy: 3.8572, recall: 0.9139, relative_absolute_error: 0.0939, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0946, root_relative_squared_error: 0.4316, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, build_cpu_time: 12.3029, build_memory: 759748528.3444, f_measure: 0.9108, kappa: 0.9024, kb_relative_information_score: 3126.3608, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9114, predictive_accuracy: 0.911, prior_entropy: 3.8572, recall: 0.911, relative_absolute_error: 0.0971, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.4367, scimark_benchmark: 939.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, build_cpu_time: 8.2896, build_memory: 701259518.4703, f_measure: 0.9124, kappa: 0.904, kb_relative_information_score: 3134.1269, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9131, predictive_accuracy: 0.9124, prior_entropy: 3.8572, recall: 0.9124, relative_absolute_error: 0.0961, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0945, root_relative_squared_error: 0.4311, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, build_cpu_time: 0.0491, build_memory: 1320514179.3382, f_measure: 0.8376, kappa: 0.8275, kb_relative_information_score: 2701.3992, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.841, predictive_accuracy: 0.8433, prior_entropy: 3.8572, recall: 0.8433, relative_absolute_error: 0.3252, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.113, root_relative_squared_error: 0.5157, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, build_cpu_time: 0.0698, build_memory: 385690163.4366, f_measure: 0.8462, kappa: 0.8366, kb_relative_information_score: 2786.056, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.8502, predictive_accuracy: 0.8515, prior_entropy: 3.8572, recall: 0.8515, relative_absolute_error: 0.275, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.5012, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, build_cpu_time: 0.0752, build_memory: 883262277.5637, f_measure: 0.8462, kappa: 0.8366, kb_relative_information_score: 2786.056, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.8502, predictive_accuracy: 0.8515, prior_entropy: 3.8572, recall: 0.8515, relative_absolute_error: 0.275, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.5012, scimark_benchmark: 939.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, build_cpu_time: 0.0754, build_memory: 493666381.2123, f_measure: 0.8462, kappa: 0.8366, kb_relative_information_score: 2786.056, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.8502, predictive_accuracy: 0.8515, prior_entropy: 3.8572, recall: 0.8515, relative_absolute_error: 0.275, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.5012, scimark_benchmark: 920.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, build_cpu_time: 0.098, build_memory: 1793110340.3315, f_measure: 0.8462, kappa: 0.8366, kb_relative_information_score: 2786.056, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.8502, predictive_accuracy: 0.8515, prior_entropy: 3.8572, recall: 0.8515, relative_absolute_error: 0.275, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.5012, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, build_cpu_time: 0.1873, build_memory: 717585717.3458, f_measure: 0.8505, kappa: 0.8351, kb_relative_information_score: 2846.8501, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.8572, predictive_accuracy: 0.8498, prior_entropy: 3.8572, recall: 0.8498, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.5631, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, build_cpu_time: 0.1295, build_memory: 2373324514.5277, f_measure: 0.8516, kappa: 0.8361, kb_relative_information_score: 2849.7886, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.8587, predictive_accuracy: 0.8507, prior_entropy: 3.8572, recall: 0.8507, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.123, root_relative_squared_error: 0.5615, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, build_cpu_time: 0.0759, build_memory: 2666452285.887, f_measure: 0.8494, kappa: 0.8338, kb_relative_information_score: 2848.1751, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.8564, predictive_accuracy: 0.8486, prior_entropy: 3.8572, recall: 0.8486, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.5631, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, build_cpu_time: 0.0409, build_memory: 1660199442.8439, f_measure: 0.8401, kappa: 0.8238, kb_relative_information_score: 2809.8795, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.8476, predictive_accuracy: 0.8395, prior_entropy: 3.8572, recall: 0.8395, relative_absolute_error: 0.1974, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.5801, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, build_cpu_time: 0.0148, build_memory: 686620094.8217, f_measure: 0.835, kappa: 0.8177, kb_relative_information_score: 2796.8867, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.8435, predictive_accuracy: 0.834, prior_entropy: 3.8572, recall: 0.834, relative_absolute_error: 0.2039, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.5864, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, build_cpu_time: 0.2257, build_memory: 1166968914.4785, f_measure: 0.9158, kappa: 0.9083, kb_relative_information_score: 2826.1879, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9197, predictive_accuracy: 0.9165, prior_entropy: 3.8572, recall: 0.9165, relative_absolute_error: 0.3317, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1023, root_relative_squared_error: 0.4668, scimark_benchmark: 939.9709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, build_cpu_time: 0.2827, build_memory: 2232277452.0668, f_measure: 0.9158, kappa: 0.9083, kb_relative_information_score: 2826.1879, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9197, predictive_accuracy: 0.9165, prior_entropy: 3.8572, recall: 0.9165, relative_absolute_error: 0.3317, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1023, root_relative_squared_error: 0.4668, scimark_benchmark: 924.9295,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, build_cpu_time: 0.0249, build_memory: 328337529.9069, f_measure: 0.8859, kappa: 0.8756, kb_relative_information_score: 3003.9631, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.8907, predictive_accuracy: 0.8867, prior_entropy: 3.8572, recall: 0.8867, relative_absolute_error: 0.1608, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.4596, scimark_benchmark: 936.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, build_cpu_time: 0.0002, build_memory: 344987317.6246, f_measure: 0.8968, kappa: 0.8885, kb_relative_information_score: 3061.8232, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9007, predictive_accuracy: 0.8984, prior_entropy: 3.8572, recall: 0.8984, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.093, root_relative_squared_error: 0.4245, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, build_cpu_time: 0.7415, build_memory: 462537861.0999, f_measure: 0.7024, kappa: 0.7129, kb_relative_information_score: 602.8652, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.7936, predictive_accuracy: 0.7429, prior_entropy: 3.8572, recall: 0.7429, relative_absolute_error: 0.9838, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.9757, scimark_benchmark: 937.4673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, build_cpu_time: 0.7152, build_memory: 781467665.935, f_measure: 0.9219, kappa: 0.9146, kb_relative_information_score: 643.8404, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9232, predictive_accuracy: 0.9221, prior_entropy: 3.8572, recall: 0.9221, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.213, root_relative_squared_error: 0.9722, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, build_cpu_time: 35.3438, build_memory: 114551712.4966, f_measure: 0.8747, kappa: 0.8588, kb_relative_information_score: 2974.393, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.8809, predictive_accuracy: 0.8714, prior_entropy: 3.8572, recall: 0.8714, relative_absolute_error: 0.1417, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.5218, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, build_cpu_time: 0.0007, build_memory: 421154544.0305, f_measure: 0.9094, kappa: 0.901, kb_relative_information_score: 3117.9163, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9205, predictive_accuracy: 0.9098, prior_entropy: 3.8572, recall: 0.9098, relative_absolute_error: 0.1226, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.4054, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, build_cpu_time: 0.0025, build_memory: 26186753.4594, f_measure: 0.1595, kappa: 0.1942, kb_relative_information_score: 1103.7111, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.1327, predictive_accuracy: 0.2796, prior_entropy: 3.8572, recall: 0.2796, relative_absolute_error: 0.8593, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.9276, scimark_benchmark: 945.1122,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, build_cpu_time: 6.4, build_memory: 668591687.2152, f_measure: 0.9201, kappa: 0.913, kb_relative_information_score: 642.5917, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9216, predictive_accuracy: 0.9206, prior_entropy: 3.8572, recall: 0.9206, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.213, root_relative_squared_error: 0.9721, scimark_benchmark: 932.0191,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, build_cpu_time: 49.7713, build_memory: 845163119.9555, f_measure: 0.9212, kappa: 0.9139, kb_relative_information_score: 642.0947, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9236, predictive_accuracy: 0.9215, prior_entropy: 3.8572, recall: 0.9215, relative_absolute_error: 0.9808, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.213, root_relative_squared_error: 0.9722, scimark_benchmark: 946.5993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, build_cpu_time: 98.3571, build_memory: 954080758.8545, f_measure: 0.9209, kappa: 0.9136, kb_relative_information_score: 642.0005, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9233, predictive_accuracy: 0.9212, prior_entropy: 3.8572, recall: 0.9212, relative_absolute_error: 0.9808, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.213, root_relative_squared_error: 0.9722, scimark_benchmark: 943.2048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, build_cpu_time: 0.7491, build_memory: 882899570.0334, f_measure: 0.7323, kappa: 0.7349, kb_relative_information_score: 2461.1402, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.749, predictive_accuracy: 0.7613, prior_entropy: 3.8572, recall: 0.7613, relative_absolute_error: 0.4357, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1324, root_relative_squared_error: 0.6043, scimark_benchmark: 945.7067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, build_cpu_time: 0.3778, build_memory: 1547150625.8343, f_measure: 0.7439, kappa: 0.7453, kb_relative_information_score: 2467.4451, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.7608, predictive_accuracy: 0.7704, prior_entropy: 3.8572, recall: 0.7704, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.132, root_relative_squared_error: 0.6026, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, build_cpu_time: 0.1406, build_memory: 727789903.3816, f_measure: 0.7382, kappa: 0.7399, kb_relative_information_score: 2452.4397, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.7463, predictive_accuracy: 0.7657, prior_entropy: 3.8572, recall: 0.7657, relative_absolute_error: 0.4343, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.6067, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, build_cpu_time: 0.1135, build_memory: 1011308205.4161, f_measure: 0.7382, kappa: 0.7399, kb_relative_information_score: 2452.4397, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.7463, predictive_accuracy: 0.7657, prior_entropy: 3.8572, recall: 0.7657, relative_absolute_error: 0.4343, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.6067, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, build_cpu_time: 0.0892, build_memory: 1587571682.7268, f_measure: 0.9104, kappa: 0.9025, kb_relative_information_score: 2827.3761, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9142, predictive_accuracy: 0.9113, prior_entropy: 3.8572, recall: 0.9113, relative_absolute_error: 0.3287, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.103, root_relative_squared_error: 0.4701, scimark_benchmark: 941.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, build_cpu_time: 0.1157, build_memory: 695331198.0744, f_measure: 0.9104, kappa: 0.9025, kb_relative_information_score: 2827.3761, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9142, predictive_accuracy: 0.9113, prior_entropy: 3.8572, recall: 0.9113, relative_absolute_error: 0.3287, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.103, root_relative_squared_error: 0.4701, scimark_benchmark: 929.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, build_cpu_time: 0.1083, build_memory: 1194742385.4032, f_measure: 0.9104, kappa: 0.9025, kb_relative_information_score: 2827.3761, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.0961, number_of_instances: 3415, precision: 0.9142, predictive_accuracy: 0.9113, prior_entropy: 3.8572, recall: 0.9113, relative_absolute_error: 0.3287, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.103, root_relative_squared_error: 0.4701, scimark_benchmark: 931.0999,

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