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A PHP Error was encountered

Severity: Warning

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Backtrace:

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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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Function: query

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

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Severity: Warning

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Backtrace:

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Function: fopen

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

File: /var/www/openml/openml_OS/views/pages/frontend/t/pre.php
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Function: query

File: /var/www/openml/openml_OS/helpers/cms_helper.php
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File: /var/www/openml/openml_OS/controllers/Frontend.php
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Function: loadpage

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

OpenML
Task
Supervised Classification on fri_c3_500_50

Supervised Classification on fri_c3_500_50

Task 3800 Supervised Classification fri_c3_500_50 582 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: 0.8913, build_cpu_time: 39.5852, build_memory: 1805053875.2, f_measure: 0.8635, kappa: 0.7217, kb_relative_information_score: 361.2685, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.864, predictive_accuracy: 0.864, prior_entropy: 0.9882, recall: 0.864, relative_absolute_error: 0.2755, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.7354, scimark_benchmark: 914.1182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, build_cpu_time: 6.5422, build_memory: 1249520387.2, f_measure: 0.8637, kappa: 0.7223, kb_relative_information_score: 354.385, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8638, predictive_accuracy: 0.864, prior_entropy: 0.9882, recall: 0.864, relative_absolute_error: 0.291, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.7354, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, build_cpu_time: 2.7786, build_memory: 3423936722.4, f_measure: 0.8393, kappa: 0.6723, kb_relative_information_score: 334.0074, mean_absolute_error: 0.1629, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9882, recall: 0.84, relative_absolute_error: 0.3313, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7737, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, build_cpu_time: 1.7731, build_memory: 792290880, f_measure: 0.832, kappa: 0.6584, kb_relative_information_score: 324.3589, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.832, predictive_accuracy: 0.832, prior_entropy: 0.9882, recall: 0.832, relative_absolute_error: 0.3512, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7941, scimark_benchmark: 937.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, build_cpu_time: 0.9957, build_memory: 392845554.4, f_measure: 0.816, kappa: 0.6259, kb_relative_information_score: 312.2004, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.816, predictive_accuracy: 0.816, prior_entropy: 0.9882, recall: 0.816, relative_absolute_error: 0.3726, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.784, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, build_cpu_time: 0.5729, build_memory: 1391363017.6, f_measure: 0.8254, kappa: 0.6442, kb_relative_information_score: 325.1219, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8256, predictive_accuracy: 0.826, prior_entropy: 0.9882, recall: 0.826, relative_absolute_error: 0.3464, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.7923, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, build_cpu_time: 1.143, build_memory: 424402243.2, f_measure: 0.8371, kappa: 0.6677, kb_relative_information_score: 341.0331, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9882, recall: 0.838, relative_absolute_error: 0.3147, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.381, root_relative_squared_error: 0.7683, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, build_cpu_time: 2.2563, build_memory: 786616679.2, f_measure: 0.8612, kappa: 0.7169, kb_relative_information_score: 358.4506, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8625, predictive_accuracy: 0.862, prior_entropy: 0.9882, recall: 0.862, relative_absolute_error: 0.2807, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.365, root_relative_squared_error: 0.736, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, build_cpu_time: 4.7854, build_memory: 859131296.8, f_measure: 0.8632, kappa: 0.7209, kb_relative_information_score: 360.3754, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8647, predictive_accuracy: 0.864, prior_entropy: 0.9882, recall: 0.864, relative_absolute_error: 0.2772, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.7338, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, build_cpu_time: 9.6412, build_memory: 993295644.8, f_measure: 0.875, kappa: 0.7449, kb_relative_information_score: 373.7224, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8776, predictive_accuracy: 0.876, prior_entropy: 0.9882, recall: 0.876, relative_absolute_error: 0.2504, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.7044, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5069, build_cpu_time: 0.1424, build_memory: 497892772.8, f_measure: 0.5155, kappa: 0.0138, kb_relative_information_score: 4.3533, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.515, predictive_accuracy: 0.516, prior_entropy: 0.9882, recall: 0.516, relative_absolute_error: 0.9842, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6942, root_relative_squared_error: 1.3998, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5069, build_cpu_time: 0.1191, build_memory: 121591113.6, f_measure: 0.5155, kappa: 0.0138, kb_relative_information_score: 4.3533, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.515, predictive_accuracy: 0.516, prior_entropy: 0.9882, recall: 0.516, relative_absolute_error: 0.9842, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6942, root_relative_squared_error: 1.3998, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5069, build_cpu_time: 0.1102, build_memory: 268000836, f_measure: 0.5155, kappa: 0.0138, kb_relative_information_score: 4.3533, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.515, predictive_accuracy: 0.516, prior_entropy: 0.9882, recall: 0.516, relative_absolute_error: 0.9842, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6942, root_relative_squared_error: 1.3998, scimark_benchmark: 922.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, build_cpu_time: 10.8514, build_memory: 1223796697.6, f_measure: 0.8833, kappa: 0.7619, kb_relative_information_score: 377.3717, mean_absolute_error: 0.1205, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.885, predictive_accuracy: 0.884, prior_entropy: 0.9882, recall: 0.884, relative_absolute_error: 0.245, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.6794, scimark_benchmark: 914.1182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, build_cpu_time: 5.8335, build_memory: 1113716248.8, f_measure: 0.8516, kappa: 0.6975, kb_relative_information_score: 347.4099, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8518, predictive_accuracy: 0.852, prior_entropy: 0.9882, recall: 0.852, relative_absolute_error: 0.3028, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7532, scimark_benchmark: 906.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, build_cpu_time: 2.6248, build_memory: 621630683.2, f_measure: 0.8435, kappa: 0.6811, kb_relative_information_score: 340.7465, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8437, predictive_accuracy: 0.844, prior_entropy: 0.9882, recall: 0.844, relative_absolute_error: 0.3161, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7588, scimark_benchmark: 939.4513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, build_cpu_time: 1.3354, build_memory: 478049249.6, f_measure: 0.8357, kappa: 0.6655, kb_relative_information_score: 329.9413, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8357, predictive_accuracy: 0.836, prior_entropy: 0.9882, recall: 0.836, relative_absolute_error: 0.3391, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.377, root_relative_squared_error: 0.7602, scimark_benchmark: 930.8778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.634, build_cpu_time: 0.9774, build_memory: 252842386.4, f_measure: 0.5981, kappa: 0.183, kb_relative_information_score: 63.4525, mean_absolute_error: 0.433, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.5982, predictive_accuracy: 0.598, prior_entropy: 0.9882, recall: 0.598, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5089, root_relative_squared_error: 1.0263, scimark_benchmark: 945.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, build_cpu_time: 1.574, build_memory: 336531006.4, f_measure: 0.8557, kappa: 0.706, kb_relative_information_score: 342.5379, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8558, predictive_accuracy: 0.856, prior_entropy: 0.9882, recall: 0.856, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7285, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, build_cpu_time: 0.1013, build_memory: 534945300, f_measure: 0.8276, kappa: 0.6488, kb_relative_information_score: 271.1317, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9882, recall: 0.828, relative_absolute_error: 0.48, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7091, scimark_benchmark: 933.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, build_cpu_time: 0.2599, build_memory: 656159284.8, f_measure: 0.8383, kappa: 0.6699, kb_relative_information_score: 144.5887, mean_absolute_error: 0.3733, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8421, predictive_accuracy: 0.84, prior_entropy: 0.9882, recall: 0.84, relative_absolute_error: 0.759, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.397, root_relative_squared_error: 0.8007, scimark_benchmark: 936.8525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, build_cpu_time: 0.1217, build_memory: 888685323.2, f_measure: 0.8329, kappa: 0.6591, kb_relative_information_score: 285.5261, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8343, predictive_accuracy: 0.834, prior_entropy: 0.9882, recall: 0.834, relative_absolute_error: 0.4539, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.755, scimark_benchmark: 875.7999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5069, build_cpu_time: 0.0007, build_memory: 176625612, f_measure: 0.5155, kappa: 0.0138, kb_relative_information_score: 4.3533, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.515, predictive_accuracy: 0.516, prior_entropy: 0.9882, recall: 0.516, relative_absolute_error: 0.9842, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6942, root_relative_squared_error: 1.3998, scimark_benchmark: 943.7068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.1516, build_memory: 153721199.2, f_measure: 0.4068, kb_relative_information_score: 53.5502, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.3181, predictive_accuracy: 0.564, prior_entropy: 0.9882, recall: 0.564, relative_absolute_error: 0.8865, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6603, root_relative_squared_error: 1.3316, scimark_benchmark: 943.7068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6139, build_cpu_time: 0.0811, build_memory: 806170691.2, f_measure: 0.6212, kappa: 0.2286, kb_relative_information_score: 112.934, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6207, predictive_accuracy: 0.622, prior_entropy: 0.9882, recall: 0.622, relative_absolute_error: 0.7685, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6148, root_relative_squared_error: 1.2398, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6139, build_cpu_time: 0.0958, build_memory: 761782476.8, f_measure: 0.6212, kappa: 0.2286, kb_relative_information_score: 112.934, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6207, predictive_accuracy: 0.622, prior_entropy: 0.9882, recall: 0.622, relative_absolute_error: 0.7685, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6148, root_relative_squared_error: 1.2398, scimark_benchmark: 936.7073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5952, build_cpu_time: 0.107, build_memory: 465918146.4, f_measure: 0.6049, kappa: 0.1969, kb_relative_information_score: 108.8386, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6124, predictive_accuracy: 0.618, prior_entropy: 0.9882, recall: 0.618, relative_absolute_error: 0.7767, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.2464, scimark_benchmark: 918.4301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, build_cpu_time: 0.0325, build_memory: 95064984.8, f_measure: 0.6247, kappa: 0.2352, kb_relative_information_score: 90.7127, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6241, predictive_accuracy: 0.626, prior_entropy: 0.9882, recall: 0.626, relative_absolute_error: 0.8286, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9742, scimark_benchmark: 940.4464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, build_cpu_time: 0.1251, build_memory: 478245932, f_measure: 0.8737, kappa: 0.7429, kb_relative_information_score: 266.5628, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8738, predictive_accuracy: 0.874, prior_entropy: 0.9882, recall: 0.874, relative_absolute_error: 0.5084, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.6445, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7773, build_cpu_time: 0.0117, build_memory: 771973235.2, f_measure: 0.7832, kappa: 0.558, kb_relative_information_score: 278.799, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.7833, predictive_accuracy: 0.784, prior_entropy: 0.9882, recall: 0.784, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9372, scimark_benchmark: 946.5615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, build_cpu_time: 0.0003, build_memory: 895689721.6, f_measure: 0.4068, kb_relative_information_score: -0.0446, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.3181, predictive_accuracy: 0.564, prior_entropy: 0.9882, recall: 0.564, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4959, root_relative_squared_error: 1, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6286, build_cpu_time: 0.0749, build_memory: 665961728, f_measure: 0.6295, kappa: 0.2537, kb_relative_information_score: 119.0771, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6343, predictive_accuracy: 0.628, prior_entropy: 0.9882, recall: 0.628, relative_absolute_error: 0.7563, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6099, root_relative_squared_error: 1.23, scimark_benchmark: 941.9153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6286, build_cpu_time: 0.0662, build_memory: 799976505.6, f_measure: 0.6295, kappa: 0.2537, kb_relative_information_score: 119.0771, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6343, predictive_accuracy: 0.628, prior_entropy: 0.9882, recall: 0.628, relative_absolute_error: 0.7563, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6099, root_relative_squared_error: 1.23, scimark_benchmark: 932.8271,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, build_cpu_time: 0.1314, build_memory: 874512470.4, f_measure: 0.7527, kappa: 0.4956, kb_relative_information_score: 257.2063, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.7617, predictive_accuracy: 0.758, prior_entropy: 0.9882, recall: 0.758, relative_absolute_error: 0.4814, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9267, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, build_cpu_time: 568.2702, build_memory: 1138824560.8, f_measure: 0.6252, kappa: 0.2368, kb_relative_information_score: 91.6773, mean_absolute_error: 0.4055, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6247, predictive_accuracy: 0.626, prior_entropy: 0.9882, recall: 0.626, relative_absolute_error: 0.8244, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.996, scimark_benchmark: 945.5575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, build_cpu_time: 1097.7878, build_memory: 196108712, f_measure: 0.6269, kappa: 0.2396, kb_relative_information_score: 90.6421, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6263, predictive_accuracy: 0.628, prior_entropy: 0.9882, recall: 0.628, relative_absolute_error: 0.8267, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9959, scimark_benchmark: 943.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, build_cpu_time: 0.0333, build_memory: 63679635.2, f_measure: 0.702, kappa: 0.393, kb_relative_information_score: 74.2646, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.7123, predictive_accuracy: 0.71, prior_entropy: 0.9882, recall: 0.71, relative_absolute_error: 0.8783, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.451, root_relative_squared_error: 0.9095, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, build_cpu_time: 0.0337, build_memory: 1131584900, f_measure: 0.702, kappa: 0.393, kb_relative_information_score: 74.2646, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.7123, predictive_accuracy: 0.71, prior_entropy: 0.9882, recall: 0.71, relative_absolute_error: 0.8783, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.451, root_relative_squared_error: 0.9095, scimark_benchmark: 940.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, build_cpu_time: 0.0156, build_memory: 857890549.6, f_measure: 0.7047, kappa: 0.3981, kb_relative_information_score: 74.1974, mean_absolute_error: 0.4322, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.7137, predictive_accuracy: 0.712, prior_entropy: 0.9882, recall: 0.712, relative_absolute_error: 0.8787, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4511, root_relative_squared_error: 0.9097, scimark_benchmark: 928.9619,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7625, build_cpu_time: 0.0075, build_memory: 55035619.2, f_measure: 0.6991, kappa: 0.3866, kb_relative_information_score: 72.5049, mean_absolute_error: 0.4337, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.7066, predictive_accuracy: 0.706, prior_entropy: 0.9882, recall: 0.706, relative_absolute_error: 0.8817, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9122, scimark_benchmark: 943.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7575, build_cpu_time: 0.0049, build_memory: 1857309964.8, f_measure: 0.6999, kappa: 0.3873, kb_relative_information_score: 69.454, mean_absolute_error: 0.4361, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.7025, predictive_accuracy: 0.704, prior_entropy: 0.9882, recall: 0.704, relative_absolute_error: 0.8867, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9155, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, build_cpu_time: 0.0021, build_memory: 1082557908.8, f_measure: 0.6906, kappa: 0.3683, kb_relative_information_score: 67.5074, mean_absolute_error: 0.4378, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6919, predictive_accuracy: 0.694, prior_entropy: 0.9882, recall: 0.694, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9196, scimark_benchmark: 944.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, build_cpu_time: 0.0025, build_memory: 1914430988.8, f_measure: 0.6906, kappa: 0.3683, kb_relative_information_score: 67.5074, mean_absolute_error: 0.4378, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6919, predictive_accuracy: 0.694, prior_entropy: 0.9882, recall: 0.694, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9196, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, build_cpu_time: 5.5392, build_memory: 506032104, f_measure: 0.8521, kappa: 0.6997, kb_relative_information_score: 280.6939, mean_absolute_error: 0.2289, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8524, predictive_accuracy: 0.852, prior_entropy: 0.9882, recall: 0.852, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.6633, scimark_benchmark: 813.0234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, build_cpu_time: 14.0039, build_memory: 851480995.2, f_measure: 0.8401, kappa: 0.675, kb_relative_information_score: 278.981, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8402, predictive_accuracy: 0.84, prior_entropy: 0.9882, recall: 0.84, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6592, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, build_cpu_time: 21.0545, build_memory: 97555084.8, f_measure: 0.8457, kappa: 0.6857, kb_relative_information_score: 275.5589, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8457, predictive_accuracy: 0.846, prior_entropy: 0.9882, recall: 0.846, relative_absolute_error: 0.48, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.6585, scimark_benchmark: 1314.9659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, build_cpu_time: 57.4431, build_memory: 54762851.2, f_measure: 0.8456, kappa: 0.6854, kb_relative_information_score: 274.6813, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8457, predictive_accuracy: 0.846, prior_entropy: 0.9882, recall: 0.846, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.6599, scimark_benchmark: 941.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, build_cpu_time: 123.3131, build_memory: 211196912.8, f_measure: 0.8457, kappa: 0.6857, kb_relative_information_score: 273.9601, mean_absolute_error: 0.2382, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8457, predictive_accuracy: 0.846, prior_entropy: 0.9882, recall: 0.846, relative_absolute_error: 0.4844, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6605, scimark_benchmark: 941.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, build_cpu_time: 20.06, build_memory: 1097118308, f_measure: 0.8756, kappa: 0.7466, kb_relative_information_score: 371.9474, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.876, predictive_accuracy: 0.876, prior_entropy: 0.9882, recall: 0.876, relative_absolute_error: 0.2544, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7073, scimark_benchmark: 942.6202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, build_cpu_time: 11.3094, build_memory: 967241987.2, f_measure: 0.8796, kappa: 0.7547, kb_relative_information_score: 375.0649, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9882, recall: 0.88, relative_absolute_error: 0.2482, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.6932, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, build_cpu_time: 5.0005, build_memory: 993256747.2, f_measure: 0.868, kappa: 0.7316, kb_relative_information_score: 365.4516, mean_absolute_error: 0.1313, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.868, predictive_accuracy: 0.868, prior_entropy: 0.9882, recall: 0.868, relative_absolute_error: 0.2669, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.7028, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, build_cpu_time: 3.1952, build_memory: 862556380.8, f_measure: 0.8617, kappa: 0.7184, kb_relative_information_score: 362.7791, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8618, predictive_accuracy: 0.862, prior_entropy: 0.9882, recall: 0.862, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.7088, scimark_benchmark: 938.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, build_cpu_time: 2.5017, build_memory: 616090246.4, f_measure: 0.8617, kappa: 0.7184, kb_relative_information_score: 362.7791, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8618, predictive_accuracy: 0.862, prior_entropy: 0.9882, recall: 0.862, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.7088, scimark_benchmark: 943.1654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, build_cpu_time: 1.2728, build_memory: 1225529232.8, f_measure: 0.8718, kappa: 0.7389, kb_relative_information_score: 363.7495, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8718, predictive_accuracy: 0.872, prior_entropy: 0.9882, recall: 0.872, relative_absolute_error: 0.2725, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3424, root_relative_squared_error: 0.6905, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, build_cpu_time: 20.2756, build_memory: 184755648, f_measure: 0.8725, kappa: 0.7396, kb_relative_information_score: 280.3283, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.878, predictive_accuracy: 0.874, prior_entropy: 0.9882, recall: 0.874, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.6262, scimark_benchmark: 757.4165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, build_cpu_time: 3.5496, build_memory: 757904107.2, f_measure: 0.8737, kappa: 0.7426, kb_relative_information_score: 290.791, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8739, predictive_accuracy: 0.874, prior_entropy: 0.9882, recall: 0.874, relative_absolute_error: 0.4536, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.62, scimark_benchmark: 943.8512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, build_cpu_time: 1.8166, build_memory: 153902698.4, f_measure: 0.8735, kappa: 0.7421, kb_relative_information_score: 290.365, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8742, predictive_accuracy: 0.874, prior_entropy: 0.9882, recall: 0.874, relative_absolute_error: 0.4538, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.6228, scimark_benchmark: 935.0701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, build_cpu_time: 1.0856, build_memory: 1593935692.8, f_measure: 0.8737, kappa: 0.7429, kb_relative_information_score: 292.1002, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8738, predictive_accuracy: 0.874, prior_entropy: 0.9882, recall: 0.874, relative_absolute_error: 0.4501, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.62, scimark_benchmark: 929.6359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, build_cpu_time: 0.4905, build_memory: 109877129.6, f_measure: 0.8821, kappa: 0.7604, kb_relative_information_score: 299.6543, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8822, predictive_accuracy: 0.882, prior_entropy: 0.9882, recall: 0.882, relative_absolute_error: 0.4327, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3063, root_relative_squared_error: 0.6177, scimark_benchmark: 930.0497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, build_cpu_time: 0.4797, build_memory: 1501490686.4, f_measure: 0.8821, kappa: 0.7604, kb_relative_information_score: 299.6543, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8822, predictive_accuracy: 0.882, prior_entropy: 0.9882, recall: 0.882, relative_absolute_error: 0.4327, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3063, root_relative_squared_error: 0.6177, scimark_benchmark: 936.3655,

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