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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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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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Function: loadpage

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

OpenML
Task
Supervised Classification on lymph

Supervised Classification on lymph

Task 240 Supervised Classification lymph 294 runs submitted
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294 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.8034, kappa: 0.6693, kb_relative_information_score: 32.4108, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.7962, predictive_accuracy: 0.8333, prior_entropy: 1.2818, recall: 0.8333, relative_absolute_error: 0.4053, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.6394, scimark_benchmark: 882.7843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.8053, kappa: 0.6672, kb_relative_information_score: 3.7643, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.81, predictive_accuracy: 0.8333, prior_entropy: 1.2818, recall: 0.8333, relative_absolute_error: 0.9947, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.9283, scimark_benchmark: 1318.5526, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8933, kappa: 0.8061, kb_relative_information_score: 9.8813, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.8981, predictive_accuracy: 0.8958, prior_entropy: 1.2818, recall: 0.8958, relative_absolute_error: 0.9501, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.325, root_relative_squared_error: 0.878, scimark_benchmark: 939.449, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.9579, kappa: 0.9231, kb_relative_information_score: 41.4073, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.9613, predictive_accuracy: 0.9583, prior_entropy: 1.2818, recall: 0.9583, relative_absolute_error: 0.2126, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.4737, scimark_benchmark: 939.449, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.9139, kappa: 0.844, kb_relative_information_score: 40.6934, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.92, predictive_accuracy: 0.9167, prior_entropy: 1.2818, recall: 0.9167, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.5515, scimark_benchmark: 1304.9611, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.8034, kappa: 0.6693, kb_relative_information_score: 29.1426, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.7962, predictive_accuracy: 0.8333, prior_entropy: 1.2818, recall: 0.8333, relative_absolute_error: 0.3061, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.7799, scimark_benchmark: 1368.9272, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.8519, kappa: 0.7293, kb_relative_information_score: 37.0023, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.8571, predictive_accuracy: 0.8542, prior_entropy: 1.2818, recall: 0.8542, relative_absolute_error: 0.3091, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.5723, scimark_benchmark: 1335.4072, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9036, kappa: 0.8408, kb_relative_information_score: 29.7152, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.9011, predictive_accuracy: 0.9167, prior_entropy: 1.2818, recall: 0.9167, relative_absolute_error: 0.4999, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.6163, scimark_benchmark: 1301.9956, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7745, f_measure: 0.7491, kappa: 0.541, kb_relative_information_score: 27.5097, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.7488, predictive_accuracy: 0.75, prior_entropy: 1.2818, recall: 0.75, relative_absolute_error: 0.4887, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.354, root_relative_squared_error: 0.9564, scimark_benchmark: 1325.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.7797, kappa: 0.616, kb_relative_information_score: 24.8179, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.7779, predictive_accuracy: 0.7917, prior_entropy: 1.2818, recall: 0.7917, relative_absolute_error: 0.5016, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2827, root_relative_squared_error: 0.7639, scimark_benchmark: 1335.4072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.679, kappa: 0.4281, kb_relative_information_score: 19.7075, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.658, predictive_accuracy: 0.7083, prior_entropy: 1.2818, recall: 0.7083, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.9162, scimark_benchmark: 1341.5768, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.7852, kappa: 0.6345, kb_relative_information_score: 27.6071, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.7632, predictive_accuracy: 0.8125, prior_entropy: 1.2818, recall: 0.8125, relative_absolute_error: 0.3443, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.8273, scimark_benchmark: 1372.2145, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6362, f_measure: 0.5466, kappa: 0.2332, kb_relative_information_score: 5.2444, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.6732, predictive_accuracy: 0.4792, prior_entropy: 1.2818, recall: 0.4792, relative_absolute_error: 0.9565, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.5103, root_relative_squared_error: 1.3788, scimark_benchmark: 1368.9272, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7165, kappa: 0.4779, kb_relative_information_score: 25.4379, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.725, predictive_accuracy: 0.7083, prior_entropy: 1.2818, recall: 0.7083, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.9084, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6411, f_measure: 0.6064, kappa: 0.2886, kb_relative_information_score: 14.8461, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.5995, predictive_accuracy: 0.6458, prior_entropy: 1.2818, recall: 0.6458, relative_absolute_error: 0.6504, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.4208, root_relative_squared_error: 1.1369, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.7079, kappa: 0.4931, kb_relative_information_score: 21.3698, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.7008, predictive_accuracy: 0.7292, prior_entropy: 1.2818, recall: 0.7292, relative_absolute_error: 0.4974, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.368, root_relative_squared_error: 0.9942, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3806, kb_relative_information_score: 0.2157, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.2934, predictive_accuracy: 0.5417, prior_entropy: 1.2818, recall: 0.5417, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.0002, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.7546, kappa: 0.564, kb_relative_information_score: 27.5213, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.7535, predictive_accuracy: 0.7708, prior_entropy: 1.2818, recall: 0.7708, relative_absolute_error: 0.4677, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.7991, scimark_benchmark: 977.6382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, build_cpu_time: 1.338, build_memory: 584611888, f_measure: 0.8757, kappa: 0.8, kb_relative_information_score: 36.7644, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.8628, predictive_accuracy: 0.8958, prior_entropy: 1.2818, recall: 0.8958, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.6166, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, build_cpu_time: 1.418, build_memory: 591328048, f_measure: 0.8757, kappa: 0.8, kb_relative_information_score: 36.7644, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.8628, predictive_accuracy: 0.8958, prior_entropy: 1.2818, recall: 0.8958, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.6166, scimark_benchmark: 918.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, build_cpu_time: 1.007, build_memory: 1030184176, f_measure: 0.8556, kappa: 0.7614, kb_relative_information_score: 35.2176, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.8396, predictive_accuracy: 0.875, prior_entropy: 1.2818, recall: 0.875, relative_absolute_error: 0.2294, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.675, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, build_cpu_time: 0.483, build_memory: 1215433232, f_measure: 0.8343, kappa: 0.72, kb_relative_information_score: 34.1502, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.8215, predictive_accuracy: 0.8542, prior_entropy: 1.2818, recall: 0.8542, relative_absolute_error: 0.2531, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2575, root_relative_squared_error: 0.6958, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, build_cpu_time: 0.233, build_memory: 282566752, f_measure: 0.8556, kappa: 0.7614, kb_relative_information_score: 34.8948, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.8396, predictive_accuracy: 0.875, prior_entropy: 1.2818, recall: 0.875, relative_absolute_error: 0.2397, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.6482, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, build_cpu_time: 0.004, build_memory: 389253056, f_measure: 0.7633, kappa: 0.5826, kb_relative_information_score: 29.8745, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.7645, predictive_accuracy: 0.7708, prior_entropy: 1.2818, recall: 0.7708, relative_absolute_error: 0.4669, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.7567, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, build_cpu_time: 0.01, build_memory: 82137360, f_measure: 0.7633, kappa: 0.5826, kb_relative_information_score: 29.8745, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.7645, predictive_accuracy: 0.7708, prior_entropy: 1.2818, recall: 0.7708, relative_absolute_error: 0.4669, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.7567, scimark_benchmark: 925.181,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, build_cpu_time: 0.012, build_memory: 127037704, f_measure: 0.7633, kappa: 0.5826, kb_relative_information_score: 29.8745, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.7645, predictive_accuracy: 0.7708, prior_entropy: 1.2818, recall: 0.7708, relative_absolute_error: 0.4669, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.7567, scimark_benchmark: 925.181,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, build_cpu_time: 0.003, build_memory: 723005248, f_measure: 0.7344, kappa: 0.5309, kb_relative_information_score: 21.4176, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.7202, predictive_accuracy: 0.75, prior_entropy: 1.2818, recall: 0.75, relative_absolute_error: 0.4999, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.9703, scimark_benchmark: 874.2668,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, build_cpu_time: 0.01, build_memory: 471292856, f_measure: 0.742, kappa: 0.5506, kb_relative_information_score: 13.4837, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.7221, predictive_accuracy: 0.7708, prior_entropy: 1.2818, recall: 0.7708, relative_absolute_error: 0.8307, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.8099, scimark_benchmark: 919.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, build_cpu_time: 2.766, build_memory: 1193432296, f_measure: 0.865, kappa: 0.7677, kb_relative_information_score: 36.9357, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.8658, predictive_accuracy: 0.875, prior_entropy: 1.2818, recall: 0.875, relative_absolute_error: 0.2295, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.25, root_relative_squared_error: 0.6754, scimark_benchmark: 942.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, build_cpu_time: 1.228, build_memory: 1328472560, f_measure: 0.8847, kappa: 0.8065, kb_relative_information_score: 38.1458, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.8845, predictive_accuracy: 0.8958, prior_entropy: 1.2818, recall: 0.8958, relative_absolute_error: 0.2019, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.6135, scimark_benchmark: 937.4026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, build_cpu_time: 0.576, build_memory: 761569872, f_measure: 0.8633, kappa: 0.7651, kb_relative_information_score: 35.7166, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.8779, predictive_accuracy: 0.875, prior_entropy: 1.2818, recall: 0.875, relative_absolute_error: 0.2593, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.6762, scimark_benchmark: 936.7073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, build_cpu_time: 1.202, build_memory: 630918712, f_measure: 0.8633, kappa: 0.7651, kb_relative_information_score: 35.6958, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.8779, predictive_accuracy: 0.875, prior_entropy: 1.2818, recall: 0.875, relative_absolute_error: 0.2616, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.6805, scimark_benchmark: 937.4026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, build_cpu_time: 0.001, build_memory: 844806144, f_measure: 0.9126, kappa: 0.8431, kb_relative_information_score: 39.5611, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.9207, predictive_accuracy: 0.9167, prior_entropy: 1.2818, recall: 0.9167, relative_absolute_error: 0.2392, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.186, root_relative_squared_error: 0.5026, scimark_benchmark: 943.7068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, build_cpu_time: 0.027, build_memory: 983891352, f_measure: 0.9036, kappa: 0.8408, kb_relative_information_score: 29.7152, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.9011, predictive_accuracy: 0.9167, prior_entropy: 1.2818, recall: 0.9167, relative_absolute_error: 0.4999, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.6163, scimark_benchmark: 938.6628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, build_cpu_time: 0.005, build_memory: 258785648, f_measure: 0.7231, kappa: 0.5127, kb_relative_information_score: 16.6588, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.7012, predictive_accuracy: 0.75, prior_entropy: 1.2818, recall: 0.75, relative_absolute_error: 0.6489, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.8681, scimark_benchmark: 936.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, build_memory: 1142369936, f_measure: 0.8096, kappa: 0.6519, kb_relative_information_score: 33.9429, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.8137, predictive_accuracy: 0.8125, prior_entropy: 1.2818, recall: 0.8125, relative_absolute_error: 0.3812, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.8123, scimark_benchmark: 906.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7727, build_cpu_time: 0.022, build_memory: 984545008, f_measure: 0.7608, kappa: 0.5789, kb_relative_information_score: 3.039, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.787, predictive_accuracy: 0.7917, prior_entropy: 1.2818, recall: 0.7917, relative_absolute_error: 1.0075, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.9419, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, build_cpu_time: 0.024, build_memory: 433577920, f_measure: 0.8933, kappa: 0.8061, kb_relative_information_score: 9.8813, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.8981, predictive_accuracy: 0.8958, prior_entropy: 1.2818, recall: 0.8958, relative_absolute_error: 0.9501, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.325, root_relative_squared_error: 0.878, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, build_cpu_time: 0.038, build_memory: 634560112, f_measure: 0.7042, kappa: 0.4752, kb_relative_information_score: 22.0551, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.6818, predictive_accuracy: 0.7292, prior_entropy: 1.2818, recall: 0.7292, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.9649, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, build_cpu_time: 0.007, build_memory: 873807400, f_measure: 0.7659, kappa: 0.5987, kb_relative_information_score: 24.3863, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.7418, predictive_accuracy: 0.7917, prior_entropy: 1.2818, recall: 0.7917, relative_absolute_error: 0.519, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.7083, scimark_benchmark: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, build_cpu_time: 0.006, build_memory: 881579568, f_measure: 0.7659, kappa: 0.5987, kb_relative_information_score: 24.3863, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.7418, predictive_accuracy: 0.7917, prior_entropy: 1.2818, recall: 0.7917, relative_absolute_error: 0.519, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.7083, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6411, build_memory: 19395680, f_measure: 0.6064, kappa: 0.2886, kb_relative_information_score: 14.8461, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.5995, predictive_accuracy: 0.6458, prior_entropy: 1.2818, recall: 0.6458, relative_absolute_error: 0.6504, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.4208, root_relative_squared_error: 1.1369, scimark_benchmark: 943.4022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.001, build_memory: 715745488, f_measure: 0.3806, kb_relative_information_score: 0.2157, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.2934, predictive_accuracy: 0.5417, prior_entropy: 1.2818, recall: 0.5417, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.0002, scimark_benchmark: 947.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, build_cpu_time: 0.147, build_memory: 2073315176, f_measure: 0.8633, kappa: 0.7598, kb_relative_information_score: 7.7511, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.8656, predictive_accuracy: 0.875, prior_entropy: 1.2818, recall: 0.875, relative_absolute_error: 0.98, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.8948, scimark_benchmark: 943.4668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, build_cpu_time: 0.422, build_memory: 172479560, f_measure: 0.8428, kappa: 0.7214, kb_relative_information_score: 8.2697, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.8418, predictive_accuracy: 0.8542, prior_entropy: 1.2818, recall: 0.8542, relative_absolute_error: 0.974, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.8913, scimark_benchmark: 921.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, build_cpu_time: 0.8, build_memory: 681694432, f_measure: 0.8428, kappa: 0.7214, kb_relative_information_score: 8.165, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.8418, predictive_accuracy: 0.8542, prior_entropy: 1.2818, recall: 0.8542, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.8918, scimark_benchmark: 941.6933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, build_cpu_time: 1.264, build_memory: 241071656, f_measure: 0.8428, kappa: 0.7214, kb_relative_information_score: 8.3957, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.8418, predictive_accuracy: 0.8542, prior_entropy: 1.2818, recall: 0.8542, relative_absolute_error: 0.9714, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.8909, scimark_benchmark: 938.2568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, build_cpu_time: 2.858, build_memory: 1595909784, f_measure: 0.8428, kappa: 0.7214, kb_relative_information_score: 8.6115, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.8418, predictive_accuracy: 0.8542, prior_entropy: 1.2818, recall: 0.8542, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.329, root_relative_squared_error: 0.8889, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, build_cpu_time: 0.093, build_memory: 1512509576, f_measure: 0.7659, kappa: 0.5987, kb_relative_information_score: 24.5824, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.7418, predictive_accuracy: 0.7917, prior_entropy: 1.2818, recall: 0.7917, relative_absolute_error: 0.5465, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2525, root_relative_squared_error: 0.6823, scimark_benchmark: 902.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, build_cpu_time: 0.095, build_memory: 92352168, f_measure: 0.7659, kappa: 0.5987, kb_relative_information_score: 24.5824, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.7418, predictive_accuracy: 0.7917, prior_entropy: 1.2818, recall: 0.7917, relative_absolute_error: 0.5465, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2525, root_relative_squared_error: 0.6823, scimark_benchmark: 943.2048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, build_cpu_time: 0.051, build_memory: 1521372464, f_measure: 0.7862, kappa: 0.6388, kb_relative_information_score: 23.7681, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.7616, predictive_accuracy: 0.8125, prior_entropy: 1.2818, recall: 0.8125, relative_absolute_error: 0.5516, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.6873, scimark_benchmark: 933.4451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, build_cpu_time: 0.026, build_memory: 1143343584, f_measure: 0.7868, kappa: 0.6409, kb_relative_information_score: 23.3753, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.763, predictive_accuracy: 0.8125, prior_entropy: 1.2818, recall: 0.8125, relative_absolute_error: 0.553, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.686, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, build_cpu_time: 0.003, build_memory: 2769462368, f_measure: 0.8456, kappa: 0.7299, kb_relative_information_score: 28.4529, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.2723, number_of_instances: 48, precision: 0.8375, predictive_accuracy: 0.8542, prior_entropy: 1.2818, recall: 0.8542, relative_absolute_error: 0.5135, root_mean_prior_squared_error: 0.3701, root_mean_squared_error: 0.2486, root_relative_squared_error: 0.6716, 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