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Severity: Warning

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

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

OpenML
OpenML
Supervised Classification on fri_c1_100_10

Supervised Classification on fri_c1_100_10

Task 3654 Supervised Classification fri_c1_100_10 764 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: 0.8418, build_cpu_time: 0.1388, build_memory: 594837222.4, f_measure: 0.8089, kappa: 0.6163, kb_relative_information_score: 59.1358, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.812, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8703, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, build_cpu_time: 0.056, build_memory: 3131228374.4, f_measure: 0.7985, kappa: 0.5956, kb_relative_information_score: 57.1788, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.803, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.4313, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.8914, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, build_cpu_time: 0.0492, build_memory: 424033611.2, f_measure: 0.7997, kappa: 0.5976, kb_relative_information_score: 58.9008, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.4132, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.8543, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, build_cpu_time: 0.0249, build_memory: 1228349084, f_measure: 0.7389, kappa: 0.4756, kb_relative_information_score: 45.4226, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7403, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.5488, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9962, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, build_cpu_time: 0.0119, build_memory: 124258674.4, f_measure: 0.7888, kappa: 0.5759, kb_relative_information_score: 55.6843, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7917, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.4431, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.9189, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, build_cpu_time: 0.024, build_memory: 146874929.6, f_measure: 0.7687, kappa: 0.5355, kb_relative_information_score: 54.9617, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7714, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.4485, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9249, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, build_cpu_time: 0.047, build_memory: 103946292.8, f_measure: 0.8089, kappa: 0.6163, kb_relative_information_score: 60.98, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.812, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.877, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, build_cpu_time: 0.0945, build_memory: 1476054168.8, f_measure: 0.7899, kappa: 0.578, kb_relative_information_score: 57.9244, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7899, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.8919, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, build_cpu_time: 0.1965, build_memory: 207762028.8, f_measure: 0.8095, kappa: 0.6172, kb_relative_information_score: 61.7995, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8104, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.3813, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8734, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, build_cpu_time: 0.0115, build_memory: 1051664525.6, f_measure: 0.5984, kappa: 0.1932, kb_relative_information_score: 19.273, mean_absolute_error: 0.4022, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5987, predictive_accuracy: 0.6, prior_entropy: 0.9975, recall: 0.6, relative_absolute_error: 0.8072, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6256, root_relative_squared_error: 1.2535, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, build_cpu_time: 0.0065, build_memory: 189995859.2, f_measure: 0.5984, kappa: 0.1932, kb_relative_information_score: 19.273, mean_absolute_error: 0.4022, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5987, predictive_accuracy: 0.6, prior_entropy: 0.9975, recall: 0.6, relative_absolute_error: 0.8072, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6256, root_relative_squared_error: 1.2535, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, build_cpu_time: 0.0045, build_memory: 200012729.6, f_measure: 0.5984, kappa: 0.1932, kb_relative_information_score: 19.273, mean_absolute_error: 0.4022, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5987, predictive_accuracy: 0.6, prior_entropy: 0.9975, recall: 0.6, relative_absolute_error: 0.8072, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6256, root_relative_squared_error: 1.2535, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, build_cpu_time: 0.0695, build_memory: 914263821.6, f_measure: 0.7888, kappa: 0.5759, kb_relative_information_score: 57.454, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7917, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.4272, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8756, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, build_cpu_time: 0.3495, build_memory: 1602555744, f_measure: 0.8101, kappa: 0.6191, kb_relative_information_score: 61.6376, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8104, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.3835, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.873, scimark_benchmark: 919.5937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, build_cpu_time: 0.2081, build_memory: 873731216, f_measure: 0.8, kappa: 0.5986, kb_relative_information_score: 61.153, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.3874, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.855, scimark_benchmark: 940.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, build_cpu_time: 0.1198, build_memory: 2091877108.8, f_measure: 0.7701, kappa: 0.5389, kb_relative_information_score: 54.9631, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.4481, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4505, root_relative_squared_error: 0.9026, scimark_benchmark: 932.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, build_cpu_time: 0.0404, build_memory: 2018107217.6, f_measure: 0.78, kappa: 0.5584, kb_relative_information_score: 53.1462, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.474, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.9012, scimark_benchmark: 933.9589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5988, build_cpu_time: 0.2002, build_memory: 485136966.4, f_measure: 0.5877, kappa: 0.1721, kb_relative_information_score: 11.3528, mean_absolute_error: 0.4484, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5884, predictive_accuracy: 0.59, prior_entropy: 0.9975, recall: 0.59, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.0367, scimark_benchmark: 920.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, build_cpu_time: 0.0429, build_memory: 866192014.4, f_measure: 0.7602, kappa: 0.5194, kb_relative_information_score: 52.926, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.761, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.4695, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4784, root_relative_squared_error: 0.9586, scimark_benchmark: 920.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, build_cpu_time: 0.001, build_memory: 1003290601.6, f_measure: 0.7573, kappa: 0.5136, kb_relative_information_score: 42.1845, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7646, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8778, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, build_cpu_time: 0.0284, build_memory: 1214979508.8, f_measure: 0.8401, kappa: 0.6796, kb_relative_information_score: 46.2174, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8409, predictive_accuracy: 0.84, prior_entropy: 0.9975, recall: 0.84, relative_absolute_error: 0.5774, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.709, scimark_benchmark: 915.0385,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, build_cpu_time: 0.0003, build_memory: 1328204336, f_measure: 0.5984, kappa: 0.1932, kb_relative_information_score: 19.273, mean_absolute_error: 0.4022, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5987, predictive_accuracy: 0.6, prior_entropy: 0.9975, recall: 0.6, relative_absolute_error: 0.8072, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6256, root_relative_squared_error: 1.2535, scimark_benchmark: 906.631,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, build_cpu_time: 0.004, build_memory: 1369855756.8, f_measure: 0.8291, kappa: 0.6567, kb_relative_information_score: 43.5815, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8323, predictive_accuracy: 0.83, prior_entropy: 0.9975, recall: 0.83, relative_absolute_error: 0.5982, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7479, scimark_benchmark: 943.0033,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6359, build_cpu_time: 0.074, build_memory: 2132737744.8, f_measure: 0.5604, kappa: 0.1189, kb_relative_information_score: 17.2088, mean_absolute_error: 0.4128, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5612, predictive_accuracy: 0.56, prior_entropy: 0.9975, recall: 0.56, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5546, root_relative_squared_error: 1.1111, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, build_cpu_time: 0.0021, build_memory: 511475520, f_measure: 0.7602, kappa: 0.5194, kb_relative_information_score: 30.5413, mean_absolute_error: 0.3652, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.761, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.733, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.847, scimark_benchmark: 824.2652,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, build_cpu_time: 0.2814, build_memory: 1813102359.2, f_measure: 0.7, kappa: 0.3978, kb_relative_information_score: 41.4824, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.5981, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.7907, scimark_benchmark: 876.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, build_cpu_time: 0.9123, build_memory: 358137132.8, f_measure: 0.7596, kappa: 0.5171, kb_relative_information_score: 41.7928, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.6072, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.7682, scimark_benchmark: 876.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, build_cpu_time: 1.0183, build_memory: 1803646184, f_measure: 0.7985, kappa: 0.5956, kb_relative_information_score: 42.255, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.803, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.6077, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7556, scimark_benchmark: 943.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, build_cpu_time: 2.1182, build_memory: 81261846.4, f_measure: 0.7784, kappa: 0.5552, kb_relative_information_score: 41.4806, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7825, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.6146, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7659, scimark_benchmark: 941.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, build_cpu_time: 3.9323, build_memory: 1144729941.6, f_measure: 0.7881, kappa: 0.5749, kb_relative_information_score: 42.6507, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7941, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.605, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7549, scimark_benchmark: 940.9202,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, build_cpu_time: 0.3937, build_memory: 1204772945.6, f_measure: 0.78, kappa: 0.5584, kb_relative_information_score: 55.7774, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.4414, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9395, scimark_benchmark: 938.2803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, build_cpu_time: 0.2048, build_memory: 1576951272.8, f_measure: 0.78, kappa: 0.5584, kb_relative_information_score: 56.7601, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.4311, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.46, root_relative_squared_error: 0.9216, scimark_benchmark: 945.6653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, build_cpu_time: 0.1326, build_memory: 62663856.8, f_measure: 0.8101, kappa: 0.6191, kb_relative_information_score: 61.3508, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8104, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.3869, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.8666, scimark_benchmark: 941.7327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, build_cpu_time: 0.0635, build_memory: 356537698.4, f_measure: 0.7992, kappa: 0.5966, kb_relative_information_score: 59.3325, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.801, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.4063, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8624, scimark_benchmark: 942.0655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, build_cpu_time: 0.1651, build_memory: 3846574524, f_measure: 0.7967, kappa: 0.5937, kb_relative_information_score: 44.8401, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8103, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.7468, scimark_benchmark: 943.3026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, build_cpu_time: 0.2882, build_memory: 676832676.8, f_measure: 0.8082, kappa: 0.6154, kb_relative_information_score: 45.3845, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8147, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.5773, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.7383, scimark_benchmark: 936.0999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, build_cpu_time: 0.0938, build_memory: 918816196, f_measure: 0.7992, kappa: 0.5966, kb_relative_information_score: 48.5763, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.801, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.5405, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7277, scimark_benchmark: 881.2396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, build_cpu_time: 0.1271, build_memory: 973615628.8, f_measure: 0.7992, kappa: 0.5966, kb_relative_information_score: 48.5763, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.801, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.5405, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7277, scimark_benchmark: 942.7346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, build_cpu_time: 0.0725, build_memory: 1179009646.4, f_measure: 0.7694, kappa: 0.5367, kb_relative_information_score: 47.9427, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7701, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.7361, scimark_benchmark: 939.6426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, build_cpu_time: 0.0389, build_memory: 581663944, f_measure: 0.7894, kappa: 0.577, kb_relative_information_score: 48.7804, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7903, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.5343, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.7309, scimark_benchmark: 943.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, build_cpu_time: 0.0186, build_memory: 433627028.8, f_measure: 0.7698, kappa: 0.5378, kb_relative_information_score: 47.6362, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7698, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.5414, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7464, scimark_benchmark: 944.0589,

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