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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

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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
Line: 337
Function: require_once

OpenML
Task
Supervised Classification on Click_prediction_small

Supervised Classification on Click_prediction_small

Task 7293 Supervised Classification Click_prediction_small 313 runs submitted
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313 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6041, average_cost: 16.1284, f_measure: 0.7642, kappa: 0.0414, kb_relative_information_score: 87104.0336, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.7468, predictive_accuracy: 0.821, prior_entropy: 0.653, recall: 0.821, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.4202, root_relative_squared_error: 1.1242, scimark_benchmark: 941.7954, total_cost: 6443000, usercpu_time_millis: 63450, usercpu_time_millis_testing: 16350, usercpu_time_millis_training: 47100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5928, average_cost: 16.1314, f_measure: 0.7643, kappa: 0.0414, kb_relative_information_score: 86083.5018, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.7469, predictive_accuracy: 0.8211, prior_entropy: 0.653, recall: 0.8211, relative_absolute_error: 0.6512, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.4164, root_relative_squared_error: 1.1138, scimark_benchmark: 945.6434, total_cost: 6444220, usercpu_time_millis: 113570, usercpu_time_millis_testing: 27480, usercpu_time_millis_training: 86090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5658, average_cost: 16.132, f_measure: 0.7643, kappa: 0.0415, kb_relative_information_score: 11506.2196, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.7472, predictive_accuracy: 0.8213, prior_entropy: 0.653, recall: 0.8213, relative_absolute_error: 0.8478, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.3877, root_relative_squared_error: 1.0372, scimark_benchmark: 911.3823, total_cost: 6444450, usercpu_time_millis: 208160, usercpu_time_millis_testing: 49180, usercpu_time_millis_training: 158980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6088, average_cost: 16.125, f_measure: 0.7642, kappa: 0.0415, kb_relative_information_score: -31158.5415, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.7466, predictive_accuracy: 0.8208, prior_entropy: 0.653, recall: 0.8208, relative_absolute_error: 0.9576, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.3753, root_relative_squared_error: 1.0041, scimark_benchmark: 942.6953, total_cost: 6441630, usercpu_time_millis: 92870, usercpu_time_millis_testing: 21170, usercpu_time_millis_training: 71700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6088, average_cost: 16.125, f_measure: 0.7642, kappa: 0.0415, kb_relative_information_score: -31158.5415, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.7466, predictive_accuracy: 0.8208, prior_entropy: 0.653, recall: 0.8208, relative_absolute_error: 0.9576, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.3753, root_relative_squared_error: 1.0041, scimark_benchmark: 911.0478, total_cost: 6441630, usercpu_time_millis: 92140, usercpu_time_millis_testing: 21200, usercpu_time_millis_training: 70940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.661, average_cost: 16.794, f_measure: 0.7558, kb_relative_information_score: 106444.1114, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.6923, predictive_accuracy: 0.8321, prior_entropy: 0.653, recall: 0.8321, relative_absolute_error: 0.6063, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.4077, root_relative_squared_error: 1.0908, scimark_benchmark: 938.2848, total_cost: 6708900, usercpu_time_millis: 534420, usercpu_time_millis_testing: 2710, usercpu_time_millis_training: 531710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6559, average_cost: 16.794, f_measure: 0.7558, kb_relative_information_score: 106086.5943, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.6923, predictive_accuracy: 0.8321, prior_entropy: 0.653, recall: 0.8321, relative_absolute_error: 0.6077, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.4073, root_relative_squared_error: 1.0897, scimark_benchmark: 926.6717, total_cost: 6708900, usercpu_time_millis: 267270, usercpu_time_millis_testing: 1630, usercpu_time_millis_training: 265640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6485, average_cost: 16.794, f_measure: 0.7558, kb_relative_information_score: 106462.1339, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.6923, predictive_accuracy: 0.8321, prior_entropy: 0.653, recall: 0.8321, relative_absolute_error: 0.6062, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.4081, root_relative_squared_error: 1.0916, scimark_benchmark: 911.3823, total_cost: 6708900, usercpu_time_millis: 136640, usercpu_time_millis_testing: 930, usercpu_time_millis_training: 135710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6353, average_cost: 16.794, f_measure: 0.7558, kb_relative_information_score: 106006.9178, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.6923, predictive_accuracy: 0.8321, prior_entropy: 0.653, recall: 0.8321, relative_absolute_error: 0.608, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.4076, root_relative_squared_error: 1.0904, scimark_benchmark: 938.4278, total_cost: 6708900, usercpu_time_millis: 63640, usercpu_time_millis_testing: 750, usercpu_time_millis_training: 62890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, average_cost: 16.794, f_measure: 0.7558, kb_relative_information_score: 105705.1142, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.6923, predictive_accuracy: 0.8321, prior_entropy: 0.653, recall: 0.8321, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.4075, root_relative_squared_error: 1.0902, scimark_benchmark: 938.9865, total_cost: 6708900, usercpu_time_millis: 33640, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 33220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7037, average_cost: 16.113, f_measure: 0.7701, kappa: 0.0602, kb_relative_information_score: -15063.7708, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.8007, predictive_accuracy: 0.8348, prior_entropy: 0.653, recall: 0.8348, relative_absolute_error: 0.9201, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.358, root_relative_squared_error: 0.9576, scimark_benchmark: 938.9865, total_cost: 6436870, usercpu_time_millis: 443130, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 442830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, average_cost: 16.1812, f_measure: 0.7685, kappa: 0.0534, kb_relative_information_score: -20711.9104, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.7929, predictive_accuracy: 0.8338, prior_entropy: 0.653, recall: 0.8338, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9662, scimark_benchmark: 931.2336, total_cost: 6464110, usercpu_time_millis: 50890, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 50590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6746, average_cost: 16.1538, f_measure: 0.7688, kappa: 0.0549, kb_relative_information_score: -19722.1228, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.7884, predictive_accuracy: 0.8333, prior_entropy: 0.653, recall: 0.8333, relative_absolute_error: 0.9507, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9715, scimark_benchmark: 940.2922, total_cost: 6453140, usercpu_time_millis: 30340, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 29950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.794, f_measure: 0.7558, kb_relative_information_score: -0.7522, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.6923, predictive_accuracy: 0.8321, prior_entropy: 0.653, recall: 0.8321, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.3738, root_relative_squared_error: 1, scimark_benchmark: 940.2922, total_cost: 6708900, usercpu_time_millis: 390, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6436, average_cost: 10.1512, f_measure: 0.6807, kappa: 0.1442, kb_relative_information_score: -424572.5918, mean_absolute_error: 0.4137, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.7754, predictive_accuracy: 0.6366, prior_entropy: 0.653, recall: 0.6366, relative_absolute_error: 1.4803, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.4387, root_relative_squared_error: 1.1735, scimark_benchmark: 943.2817, total_cost: 4055210, usercpu_time_millis: 32350, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 31760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6636, average_cost: 16.4634, f_measure: 0.762, kappa: 0.0263, kb_relative_information_score: -31093.9372, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.764, predictive_accuracy: 0.8305, prior_entropy: 0.653, recall: 0.8305, relative_absolute_error: 0.9497, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9756, scimark_benchmark: 943.2745, total_cost: 6576820, usercpu_time_millis: 23140, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 22650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6509, average_cost: 14.1828, f_measure: 0.7894, kappa: 0.1681, kb_relative_information_score: -30439.3888, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.7789, predictive_accuracy: 0.8203, prior_entropy: 0.653, recall: 0.8203, relative_absolute_error: 0.8757, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.3874, root_relative_squared_error: 1.0364, scimark_benchmark: 929.566, total_cost: 5665790, usercpu_time_millis: 159170, usercpu_time_millis_testing: 6680, usercpu_time_millis_training: 152490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6484, average_cost: 16.1618, f_measure: 0.7674, kappa: 0.0502, kb_relative_information_score: -26800.7776, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.7706, predictive_accuracy: 0.8302, prior_entropy: 0.653, recall: 0.8302, relative_absolute_error: 0.9242, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.9873, scimark_benchmark: 943.6956, total_cost: 6456360, usercpu_time_millis: 11130, usercpu_time_millis_testing: 1370, usercpu_time_millis_training: 9760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6746, average_cost: 16.1538, f_measure: 0.7688, kappa: 0.0549, kb_relative_information_score: -19722.1228, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.7884, predictive_accuracy: 0.8333, prior_entropy: 0.653, recall: 0.8333, relative_absolute_error: 0.9507, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9715, scimark_benchmark: 930.32, total_cost: 6453140, usercpu_time_millis: 33890, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 33500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.794, f_measure: 0.7558, kb_relative_information_score: 107768.589, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.6923, predictive_accuracy: 0.8321, prior_entropy: 0.653, recall: 0.8321, relative_absolute_error: 0.6009, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.4098, root_relative_squared_error: 1.0963, scimark_benchmark: 901.0726, total_cost: 6708900, usercpu_time_millis: 2910, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 2490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6598, average_cost: 15.5035, f_measure: 0.7819, kappa: 0.1108, kb_relative_information_score: 91.372, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.8086, predictive_accuracy: 0.8381, prior_entropy: 0.653, recall: 0.8381, relative_absolute_error: 0.9217, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9645, scimark_benchmark: 902.4773, total_cost: 6193350, usercpu_time_millis: 130130, usercpu_time_millis_testing: 3520, usercpu_time_millis_training: 126610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6733, average_cost: 15.5336, f_measure: 0.7813, kappa: 0.1083, kb_relative_information_score: -1941.5291, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.8081, predictive_accuracy: 0.8379, prior_entropy: 0.653, recall: 0.8379, relative_absolute_error: 0.9231, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.9607, scimark_benchmark: 947.9494, total_cost: 6205410, usercpu_time_millis: 10455050, usercpu_time_millis_testing: 1780, usercpu_time_millis_training: 10453270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6232, average_cost: 16.794, f_measure: 0.7558, kb_relative_information_score: -25884.8371, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.6923, predictive_accuracy: 0.8321, prior_entropy: 0.653, recall: 0.8321, relative_absolute_error: 0.9863, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.9902, scimark_benchmark: 901.0726, total_cost: 6708900, usercpu_time_millis: 2270, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 1940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.794, f_measure: 0.7558, kb_relative_information_score: 107768.589, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.6923, predictive_accuracy: 0.8321, prior_entropy: 0.653, recall: 0.8321, relative_absolute_error: 0.6009, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.4098, root_relative_squared_error: 1.0963, scimark_benchmark: 948.1045, total_cost: 6708900, usercpu_time_millis: 16620, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 16380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7403, average_cost: 7.1444, f_measure: 0.5628, kappa: 0.144, kb_relative_information_score: -553138.3665, mean_absolute_error: 0.4796, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.8186, predictive_accuracy: 0.5118, prior_entropy: 0.653, recall: 0.5118, relative_absolute_error: 1.7162, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.5261, root_relative_squared_error: 1.4074, scimark_benchmark: 1371.4849, total_cost: 2854060, usercpu_time_millis: 43586.6794, usercpu_time_millis_testing: 25506.1635, usercpu_time_millis_training: 18080.5159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, average_cost: 15.8742, build_cpu_time: 181.4578, build_memory: 2067027250.1105, f_measure: 0.7755, kappa: 0.0826, kb_relative_information_score: -5995.4835, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.8165, predictive_accuracy: 0.8376, prior_entropy: 0.653, recall: 0.8376, relative_absolute_error: 0.9058, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.9463, scimark_benchmark: 951.7352, total_cost: 6341450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.624, average_cost: 7.7882, build_cpu_time: 257.9725, build_memory: 1239015237.2618, f_measure: 0.5462, kappa: 0.1206, kb_relative_information_score: -478805.9243, mean_absolute_error: 0.5056, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.8045, predictive_accuracy: 0.4944, prior_entropy: 0.653, recall: 0.4944, relative_absolute_error: 1.8092, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.7111, root_relative_squared_error: 1.9022, scimark_benchmark: 1197.2614, total_cost: 3111260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.794, build_cpu_time: 1022.5632, build_memory: 1115516564.2563, f_measure: 0.7558, kb_relative_information_score: -0.7522, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.6923, predictive_accuracy: 0.8321, prior_entropy: 0.653, recall: 0.8321, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.3738, root_relative_squared_error: 1, scimark_benchmark: 1197.2614, total_cost: 6708900,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7078, average_cost: 15.0031, f_measure: 0.7882, kappa: 0.1417, kb_relative_information_score: -159.8113, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.7968, predictive_accuracy: 0.8357, prior_entropy: 0.653, recall: 0.8357, relative_absolute_error: 0.881, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.9552, scimark_benchmark: 1240.2804, total_cost: 5993450, usercpu_time_millis_testing: 5640, usercpu_time_millis_training: 3157230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7012, average_cost: 13.7847, build_cpu_time: 324.3294, build_memory: 1433578043.4535, f_measure: 0.7901, kappa: 0.1819, kb_relative_information_score: -18681.6175, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.7786, predictive_accuracy: 0.8148, prior_entropy: 0.653, recall: 0.8148, relative_absolute_error: 0.8946, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.3779, root_relative_squared_error: 1.011, scimark_benchmark: 1347.1664, total_cost: 5506730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6143, average_cost: 7.2864, build_cpu_time: 137.0416, build_memory: 1846529961.875, f_measure: 0.4653, kappa: 0.1001, kb_relative_information_score: -597405.2618, mean_absolute_error: 0.5739, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.8189, predictive_accuracy: 0.4261, prior_entropy: 0.653, recall: 0.4261, relative_absolute_error: 2.0536, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.7576, root_relative_squared_error: 2.0266, scimark_benchmark: 1465.3915, total_cost: 2910800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5856, average_cost: 7.561, f_measure: 0.3834, kappa: 0.0699, kb_relative_information_score: -707634.4671, mean_absolute_error: 0.6374, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.8158, predictive_accuracy: 0.3626, prior_entropy: 0.653, recall: 0.3626, relative_absolute_error: 2.2806, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.7984, root_relative_squared_error: 2.1357, scimark_benchmark: 812.6674, total_cost: 3020490, usercpu_time_millis_testing: 1673, usercpu_time_millis_training: 134163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5621, average_cost: 7.8329, f_measure: 0.3139, kappa: 0.0482, kb_relative_information_score: -792074.9691, mean_absolute_error: 0.686, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.8101, predictive_accuracy: 0.314, prior_entropy: 0.653, recall: 0.314, relative_absolute_error: 2.4546, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.8282, root_relative_squared_error: 2.2157, scimark_benchmark: 806.708, total_cost: 3129100, usercpu_time_millis_testing: 493, usercpu_time_millis_training: 14253,

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