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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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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 hypothyroid

Supervised Classification on hypothyroid

Task 3044 Supervised Classification hypothyroid 280 runs submitted
0 likes downloaded by 1 people , 3 total downloads 0 issues
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280 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.9097, kappa: 0.3078, kb_relative_information_score: 47.4453, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9025, predictive_accuracy: 0.9268, prior_entropy: 0.4715, recall: 0.9268, relative_absolute_error: 0.6453, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.9389, scimark_benchmark: 940.3347, usercpu_time_millis: 6470, usercpu_time_millis_testing: 6470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8834, kb_relative_information_score: -5966.2858, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.8487, predictive_accuracy: 0.9212, prior_entropy: 0.4715, recall: 0.9212, relative_absolute_error: 3.5172, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.3255, root_relative_squared_error: 1.6928, scimark_benchmark: 1325.2092, usercpu_time_millis: 6560, usercpu_time_millis_testing: 1320, usercpu_time_millis_training: 5240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5896, f_measure: 0.9055, kappa: 0.2729, kb_relative_information_score: -5904.8969, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.8818, predictive_accuracy: 0.9333, prior_entropy: 0.4715, recall: 0.9333, relative_absolute_error: 3.4853, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.3218, root_relative_squared_error: 1.6739, scimark_benchmark: 1369.9744, usercpu_time_millis: 2110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9645, kappa: 0.7554, kb_relative_information_score: 793.7348, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9668, predictive_accuracy: 0.967, prior_entropy: 0.4715, recall: 0.967, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1149, root_relative_squared_error: 0.5978, scimark_benchmark: 942.9518, usercpu_time_millis: 3910, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, f_measure: 0.918, kappa: 0.4391, kb_relative_information_score: 531.1213, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9257, predictive_accuracy: 0.9389, prior_entropy: 0.4715, recall: 0.9389, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.909, scimark_benchmark: 1304.9611, usercpu_time_millis: 930, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9923, kappa: 0.951, kb_relative_information_score: 1135.255, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9924, predictive_accuracy: 0.9928, prior_entropy: 0.4715, recall: 0.9928, relative_absolute_error: 0.0634, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.058, root_relative_squared_error: 0.3018, scimark_benchmark: 1376.7478, usercpu_time_millis: 14280, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 14040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9915, kappa: 0.9451, kb_relative_information_score: 952.2638, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9912, predictive_accuracy: 0.992, prior_entropy: 0.4715, recall: 0.992, relative_absolute_error: 0.2514, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.3779, scimark_benchmark: 1315.3881, usercpu_time_millis: 830, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9896, kappa: 0.9294, kb_relative_information_score: 1115.4495, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9898, predictive_accuracy: 0.9896, prior_entropy: 0.4715, recall: 0.9896, relative_absolute_error: 0.0759, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.373, scimark_benchmark: 1361.1055, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9894, kappa: 0.9319, kb_relative_information_score: 1102.6213, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9899, predictive_accuracy: 0.9896, prior_entropy: 0.4715, recall: 0.9896, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0682, root_relative_squared_error: 0.3549, scimark_benchmark: 1319.6463, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9948, kappa: 0.9675, kb_relative_information_score: 1167.2192, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9945, predictive_accuracy: 0.9952, prior_entropy: 0.4715, recall: 0.9952, relative_absolute_error: 0.0733, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0465, root_relative_squared_error: 0.2417, scimark_benchmark: 1313.5726, usercpu_time_millis: 1280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.9807, kappa: 0.8695, kb_relative_information_score: 1028.6449, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.981, predictive_accuracy: 0.9815, prior_entropy: 0.4715, recall: 0.9815, relative_absolute_error: 0.1257, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0961, root_relative_squared_error: 0.5001, scimark_benchmark: 1442.7264, usercpu_time_millis: 180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5261, f_measure: 0.8831, kappa: 0.0645, kb_relative_information_score: 148.8197, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.8674, predictive_accuracy: 0.9084, prior_entropy: 0.4715, recall: 0.9084, relative_absolute_error: 0.6229, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2141, root_relative_squared_error: 1.1133, scimark_benchmark: 1466.6185, usercpu_time_millis: 1220, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 1080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9956, kappa: 0.9724, kb_relative_information_score: 1184.9985, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9952, predictive_accuracy: 0.996, prior_entropy: 0.4715, recall: 0.996, relative_absolute_error: 0.0367, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0408, root_relative_squared_error: 0.2123, scimark_benchmark: 1351.788, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.96, kappa: 0.7404, kb_relative_information_score: 768.246, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9642, predictive_accuracy: 0.9574, prior_entropy: 0.4715, recall: 0.9574, relative_absolute_error: 0.2896, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.146, root_relative_squared_error: 0.7591, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9907, kappa: 0.9399, kb_relative_information_score: 1131.7221, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9905, predictive_accuracy: 0.9912, prior_entropy: 0.4715, recall: 0.9912, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.3458, scimark_benchmark: 1380.2233, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8834, kb_relative_information_score: 3.7701, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.8487, predictive_accuracy: 0.9212, prior_entropy: 0.4715, recall: 0.9212, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1, scimark_benchmark: 1503.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9939, kappa: 0.9619, kb_relative_information_score: 1159.6401, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9937, predictive_accuracy: 0.9944, prior_entropy: 0.4715, recall: 0.9944, relative_absolute_error: 0.0609, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.2678, scimark_benchmark: 1605.6303, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, build_cpu_time: 12.625, build_memory: 1060929744, f_measure: 0.9309, kappa: 0.4973, kb_relative_information_score: 107.1449, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9434, predictive_accuracy: 0.9453, prior_entropy: 0.4715, recall: 0.9453, relative_absolute_error: 0.662, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.7963, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, build_cpu_time: 13.229, build_memory: 506182968, f_measure: 0.9309, kappa: 0.4973, kb_relative_information_score: 107.1449, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9434, predictive_accuracy: 0.9453, prior_entropy: 0.4715, recall: 0.9453, relative_absolute_error: 0.662, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.7963, scimark_benchmark: 936.5273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, build_cpu_time: 14.865, build_memory: 1102655824, f_measure: 0.9309, kappa: 0.4973, kb_relative_information_score: 107.1449, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9434, predictive_accuracy: 0.9453, prior_entropy: 0.4715, recall: 0.9453, relative_absolute_error: 0.662, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.7963, scimark_benchmark: 944.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, build_cpu_time: 10.145, build_memory: 535590296, f_measure: 0.9309, kappa: 0.4973, kb_relative_information_score: 107.1449, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9434, predictive_accuracy: 0.9453, prior_entropy: 0.4715, recall: 0.9453, relative_absolute_error: 0.662, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.7963, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, build_cpu_time: 7.297, build_memory: 1314043640, f_measure: 0.9277, kappa: 0.4723, kb_relative_information_score: 51.5352, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9451, predictive_accuracy: 0.9437, prior_entropy: 0.4715, recall: 0.9437, relative_absolute_error: 0.6923, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.7998, scimark_benchmark: 935.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, build_cpu_time: 0.398, build_memory: 1458750856, f_measure: 0.9932, kappa: 0.9567, kb_relative_information_score: 1172.6539, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9929, predictive_accuracy: 0.9936, prior_entropy: 0.4715, recall: 0.9936, relative_absolute_error: 0.0466, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.053, root_relative_squared_error: 0.2754, scimark_benchmark: 936.5273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, build_cpu_time: 0.702, build_memory: 1463244200, f_measure: 0.9948, kappa: 0.9677, kb_relative_information_score: 1187.9901, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9945, predictive_accuracy: 0.9952, prior_entropy: 0.4715, recall: 0.9952, relative_absolute_error: 0.0388, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0464, root_relative_squared_error: 0.2415, scimark_benchmark: 940.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, build_cpu_time: 0.7, build_memory: 438955568, f_measure: 0.9948, kappa: 0.9677, kb_relative_information_score: 1187.9901, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9945, predictive_accuracy: 0.9952, prior_entropy: 0.4715, recall: 0.9952, relative_absolute_error: 0.0388, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0464, root_relative_squared_error: 0.2415, scimark_benchmark: 935.1201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, build_cpu_time: 0.697, build_memory: 107352856, f_measure: 0.9948, kappa: 0.9677, kb_relative_information_score: 1187.9901, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9945, predictive_accuracy: 0.9952, prior_entropy: 0.4715, recall: 0.9952, relative_absolute_error: 0.0388, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0464, root_relative_squared_error: 0.2415, scimark_benchmark: 926.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, build_cpu_time: 0.493, build_memory: 139313512, f_measure: 0.9948, kappa: 0.9677, kb_relative_information_score: 1187.9901, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9945, predictive_accuracy: 0.9952, prior_entropy: 0.4715, recall: 0.9952, relative_absolute_error: 0.0388, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0464, root_relative_squared_error: 0.2415, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, build_cpu_time: 0.012, build_memory: 464794744, f_measure: 0.9844, kappa: 0.8957, kb_relative_information_score: 1058.1899, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9851, predictive_accuracy: 0.9839, prior_entropy: 0.4715, recall: 0.9839, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.087, root_relative_squared_error: 0.4524, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, build_cpu_time: 0.016, build_memory: 783574152, f_measure: 0.9844, kappa: 0.8957, kb_relative_information_score: 1058.1899, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9851, predictive_accuracy: 0.9839, prior_entropy: 0.4715, recall: 0.9839, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.087, root_relative_squared_error: 0.4524, scimark_benchmark: 925.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, build_cpu_time: 0.011, build_memory: 1003694792, f_measure: 0.9844, kappa: 0.8957, kb_relative_information_score: 1058.1899, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9851, predictive_accuracy: 0.9839, prior_entropy: 0.4715, recall: 0.9839, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.087, root_relative_squared_error: 0.4524, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, build_cpu_time: 0.013, build_memory: 789224912, f_measure: 0.9844, kappa: 0.8957, kb_relative_information_score: 1058.1899, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9851, predictive_accuracy: 0.9839, prior_entropy: 0.4715, recall: 0.9839, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.087, root_relative_squared_error: 0.4524, scimark_benchmark: 939.084,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, build_cpu_time: 0.925, build_memory: 291006272, f_measure: 0.9625, kappa: 0.7339, kb_relative_information_score: 744.0162, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9669, predictive_accuracy: 0.9622, prior_entropy: 0.4715, recall: 0.9622, relative_absolute_error: 0.3735, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.6663, scimark_benchmark: 942.3674,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6035, build_cpu_time: 12.169, build_memory: 1438669952, f_measure: 0.9065, kappa: 0.2872, kb_relative_information_score: -5902.4451, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.8826, predictive_accuracy: 0.9341, prior_entropy: 0.4715, recall: 0.9341, relative_absolute_error: 3.4851, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.3214, root_relative_squared_error: 1.6718, scimark_benchmark: 926.9748,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, build_cpu_time: 2.839, build_memory: 637855296, f_measure: 0.9932, kappa: 0.9571, kb_relative_information_score: 1133.2881, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9931, predictive_accuracy: 0.9936, prior_entropy: 0.4715, recall: 0.9936, relative_absolute_error: 0.0875, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0487, root_relative_squared_error: 0.2533, scimark_benchmark: 946.7087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, build_cpu_time: 2.467, build_memory: 397243456, f_measure: 0.9932, kappa: 0.9571, kb_relative_information_score: 1133.2881, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9931, predictive_accuracy: 0.9936, prior_entropy: 0.4715, recall: 0.9936, relative_absolute_error: 0.0875, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0487, root_relative_squared_error: 0.2533, scimark_benchmark: 941.3563,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, build_cpu_time: 0.861, build_memory: 698340328, f_measure: 0.9917, kappa: 0.9469, kb_relative_information_score: 1133.2834, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9918, predictive_accuracy: 0.992, prior_entropy: 0.4715, recall: 0.992, relative_absolute_error: 0.0863, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0496, root_relative_squared_error: 0.258, scimark_benchmark: 943.4766,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, build_cpu_time: 0.342, build_memory: 956740544, f_measure: 0.9917, kappa: 0.9469, kb_relative_information_score: 1137.0383, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9918, predictive_accuracy: 0.992, prior_entropy: 0.4715, recall: 0.992, relative_absolute_error: 0.0841, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0478, root_relative_squared_error: 0.2485, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, build_cpu_time: 0.099, build_memory: 730533456, f_measure: 0.9908, kappa: 0.9405, kb_relative_information_score: 990.5035, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9904, predictive_accuracy: 0.9912, prior_entropy: 0.4715, recall: 0.9912, relative_absolute_error: 0.1819, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0667, root_relative_squared_error: 0.3469, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, build_cpu_time: 0.165, build_memory: 1645816544, f_measure: 0.9892, kappa: 0.929, kb_relative_information_score: 986.4947, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.9888, predictive_accuracy: 0.9896, prior_entropy: 0.4715, recall: 0.9896, relative_absolute_error: 0.2175, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.3677, scimark_benchmark: 949.2096,

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