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Function: fopen

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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Function: view

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 car

Supervised Classification on car

Task 1785 Supervised Classification car 319 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
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319 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.8813, kappa: 0.743, kb_relative_information_score: 5293.8197, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8866, predictive_accuracy: 0.8903, prior_entropy: 1.2099, recall: 0.8903, relative_absolute_error: 0.4896, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.6166, scimark_benchmark: 869.6028, usercpu_time_millis: 230, usercpu_time_millis_testing: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.61, f_measure: 0.6574, kappa: 0.2179, kb_relative_information_score: -1873.0869, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.631, predictive_accuracy: 0.7353, prior_entropy: 1.2099, recall: 0.7353, relative_absolute_error: 1.2265, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3579, root_relative_squared_error: 1.0585, scimark_benchmark: 930.5999, usercpu_time_millis: 2100, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 1510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.92, kappa: 0.8262, kb_relative_information_score: -97.5748, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9208, predictive_accuracy: 0.9201, prior_entropy: 1.2099, recall: 0.9201, relative_absolute_error: 1.1233, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.9541, scimark_benchmark: 1321.527, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9282, kappa: 0.8438, kb_relative_information_score: 7017.8083, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9287, predictive_accuracy: 0.928, prior_entropy: 1.2099, recall: 0.928, relative_absolute_error: 0.2366, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.4698, scimark_benchmark: 895.5332, usercpu_time_millis: 1750, usercpu_time_millis_training: 1750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.8838, kappa: 0.7506, kb_relative_information_score: 5963.0803, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8856, predictive_accuracy: 0.8877, prior_entropy: 1.2099, recall: 0.8877, relative_absolute_error: 0.2451, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.7007, scimark_benchmark: 938.9967, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9052, kappa: 0.7952, kb_relative_information_score: 5917.5088, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9054, predictive_accuracy: 0.9068, prior_entropy: 1.2099, recall: 0.9068, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.5727, scimark_benchmark: 1368.9272, usercpu_time_millis: 530, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.8427, kappa: 0.656, kb_relative_information_score: 5754.3197, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8416, predictive_accuracy: 0.8439, prior_entropy: 1.2099, recall: 0.8439, relative_absolute_error: 0.3237, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.7402, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.8618, kappa: 0.7079, kb_relative_information_score: 6010.2421, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8605, predictive_accuracy: 0.8672, prior_entropy: 1.2099, recall: 0.8672, relative_absolute_error: 0.3373, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.6233, scimark_benchmark: 1325.942, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9551, kappa: 0.9017, kb_relative_information_score: 7672.1453, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9557, predictive_accuracy: 0.9546, prior_entropy: 1.2099, recall: 0.9546, relative_absolute_error: 0.1159, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.407, scimark_benchmark: 1327.6929, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.9274, kappa: 0.8419, kb_relative_information_score: 7075.4145, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9282, predictive_accuracy: 0.927, prior_entropy: 1.2099, recall: 0.927, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.5652, scimark_benchmark: 1294.7826, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.9423, kappa: 0.8727, kb_relative_information_score: 7318.7162, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9432, predictive_accuracy: 0.9438, prior_entropy: 1.2099, recall: 0.9438, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.496, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9369, kappa: 0.863, kb_relative_information_score: 7305.3506, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9378, predictive_accuracy: 0.9366, prior_entropy: 1.2099, recall: 0.9366, relative_absolute_error: 0.1609, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.4683, scimark_benchmark: 1466.6185, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.8627, kappa: 0.698, kb_relative_information_score: 5577.8784, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8643, predictive_accuracy: 0.8755, prior_entropy: 1.2099, recall: 0.8755, relative_absolute_error: 0.2719, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.738, scimark_benchmark: 1466.6185, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5768, kb_relative_information_score: 1973.8136, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3871, root_relative_squared_error: 1.145, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.9172, kappa: 0.8197, kb_relative_information_score: 6942.8603, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.919, predictive_accuracy: 0.916, prior_entropy: 1.2099, recall: 0.916, relative_absolute_error: 0.1835, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.205, root_relative_squared_error: 0.6062, scimark_benchmark: 1028.5889, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.5768, kb_relative_information_score: -13.652, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.8827, kappa: 0.7488, kb_relative_information_score: 6297.1205, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8836, predictive_accuracy: 0.884, prior_entropy: 1.2099, recall: 0.884, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.6107, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, build_cpu_time: 3.0056, build_memory: 371922181.6, f_measure: 0.9365, kappa: 0.8611, kb_relative_information_score: 7362.9897, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.937, predictive_accuracy: 0.9362, prior_entropy: 1.2099, recall: 0.9362, relative_absolute_error: 0.1515, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.4756, scimark_benchmark: 932.2022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, build_cpu_time: 2.9382, build_memory: 680321766.4, f_measure: 0.9365, kappa: 0.8611, kb_relative_information_score: 7362.9897, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.937, predictive_accuracy: 0.9362, prior_entropy: 1.2099, recall: 0.9362, relative_absolute_error: 0.1515, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.4756, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, build_cpu_time: 2.9446, build_memory: 813141040, f_measure: 0.9365, kappa: 0.8611, kb_relative_information_score: 7362.9897, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.937, predictive_accuracy: 0.9362, prior_entropy: 1.2099, recall: 0.9362, relative_absolute_error: 0.1515, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.4756, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, build_cpu_time: 2.2149, build_memory: 673630420.8, f_measure: 0.9369, kappa: 0.8621, kb_relative_information_score: 7367.6112, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9373, predictive_accuracy: 0.9367, prior_entropy: 1.2099, recall: 0.9367, relative_absolute_error: 0.1517, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.4753, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, build_cpu_time: 1.2399, build_memory: 869727072.8, f_measure: 0.9363, kappa: 0.8609, kb_relative_information_score: 7338.7831, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9367, predictive_accuracy: 0.9361, prior_entropy: 1.2099, recall: 0.9361, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.4779, scimark_benchmark: 940.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, build_cpu_time: 0.0222, build_memory: 445452442.4, f_measure: 0.9377, kappa: 0.8656, kb_relative_information_score: 7253.0832, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9386, predictive_accuracy: 0.938, prior_entropy: 1.2099, recall: 0.938, relative_absolute_error: 0.1577, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.4617, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, build_cpu_time: 0.0421, build_memory: 204754767.2, f_measure: 0.9514, kappa: 0.8948, kb_relative_information_score: 7510.9468, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9524, predictive_accuracy: 0.9513, prior_entropy: 1.2099, recall: 0.9513, relative_absolute_error: 0.1175, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.4218, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, build_cpu_time: 0.0698, build_memory: 82509408, f_measure: 0.953, kappa: 0.8983, kb_relative_information_score: 7558.5671, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9542, predictive_accuracy: 0.9529, prior_entropy: 1.2099, recall: 0.9529, relative_absolute_error: 0.1104, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.4195, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, build_cpu_time: 0.0651, build_memory: 375652622.4, f_measure: 0.9537, kappa: 0.8996, kb_relative_information_score: 7576.2501, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9549, predictive_accuracy: 0.9535, prior_entropy: 1.2099, recall: 0.9535, relative_absolute_error: 0.1089, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.141, root_relative_squared_error: 0.4169, scimark_benchmark: 920.993,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, build_cpu_time: 0.252, build_memory: 34488472.8, f_measure: 0.9321, kappa: 0.8518, kb_relative_information_score: 7185.3053, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9325, predictive_accuracy: 0.9318, prior_entropy: 1.2099, recall: 0.9318, relative_absolute_error: 0.1879, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.4708, scimark_benchmark: 939.7798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, build_cpu_time: 0.0122, build_memory: 1702942316, f_measure: 0.8851, kappa: 0.7571, kb_relative_information_score: 6073.817, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8871, predictive_accuracy: 0.8878, prior_entropy: 1.2099, recall: 0.8878, relative_absolute_error: 0.3485, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.5742, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, build_cpu_time: 0.0131, build_memory: 804825887.2, f_measure: 0.5768, kb_relative_information_score: -1353.785, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2031, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.9902, scimark_benchmark: 933.0871,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, build_cpu_time: 1.0463, build_memory: 861951715.2, f_measure: 0.9251, kappa: 0.837, kb_relative_information_score: -122.3036, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9257, predictive_accuracy: 0.9251, prior_entropy: 1.2099, recall: 0.9251, relative_absolute_error: 1.127, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.9495, scimark_benchmark: 931.4894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, build_cpu_time: 1.7404, build_memory: 400918415.2, f_measure: 0.9258, kappa: 0.8387, kb_relative_information_score: -118.956, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9268, predictive_accuracy: 0.9256, prior_entropy: 1.2099, recall: 0.9256, relative_absolute_error: 1.1267, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.949, scimark_benchmark: 921.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, build_cpu_time: 1.6509, build_memory: 456007046.4, f_measure: 0.9258, kappa: 0.8387, kb_relative_information_score: -118.956, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9268, predictive_accuracy: 0.9256, prior_entropy: 1.2099, recall: 0.9256, relative_absolute_error: 1.1267, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.949, scimark_benchmark: 932.0191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, build_cpu_time: 1.6117, build_memory: 610821911.2, f_measure: 0.9258, kappa: 0.8387, kb_relative_information_score: -118.956, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9268, predictive_accuracy: 0.9256, prior_entropy: 1.2099, recall: 0.9256, relative_absolute_error: 1.1267, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.949, scimark_benchmark: 941.9153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, build_cpu_time: 3.6823, build_memory: 354801652, f_measure: 0.9266, kappa: 0.8408, kb_relative_information_score: -118.3885, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.928, predictive_accuracy: 0.9264, prior_entropy: 1.2099, recall: 0.9264, relative_absolute_error: 1.1267, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.9487, scimark_benchmark: 945.3978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, build_cpu_time: 8.253, build_memory: 468419216, f_measure: 0.9275, kappa: 0.8427, kb_relative_information_score: -115.3506, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9287, predictive_accuracy: 0.9273, prior_entropy: 1.2099, recall: 0.9273, relative_absolute_error: 1.1265, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.9485, scimark_benchmark: 936.7714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, build_cpu_time: 12.7947, build_memory: 3100123081.6, f_measure: 0.928, kappa: 0.8437, kb_relative_information_score: -116.1326, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.929, predictive_accuracy: 0.9279, prior_entropy: 1.2099, recall: 0.9279, relative_absolute_error: 1.1265, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.9484, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, build_cpu_time: 0.2023, build_memory: 1134703792, f_measure: 0.8894, kappa: 0.7672, kb_relative_information_score: 6139.9807, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8914, predictive_accuracy: 0.8927, prior_entropy: 1.2099, recall: 0.8927, relative_absolute_error: 0.3472, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.5609, scimark_benchmark: 938.5838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, build_cpu_time: 0.1266, build_memory: 630554875.2, f_measure: 0.8909, kappa: 0.7704, kb_relative_information_score: 6144.9077, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8934, predictive_accuracy: 0.8939, prior_entropy: 1.2099, recall: 0.8939, relative_absolute_error: 0.3461, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.5611, scimark_benchmark: 946.1876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, build_cpu_time: 0.0648, build_memory: 1764215328.8, f_measure: 0.888, kappa: 0.7649, kb_relative_information_score: 6117.4934, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8906, predictive_accuracy: 0.8916, prior_entropy: 1.2099, recall: 0.8916, relative_absolute_error: 0.3484, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.191, root_relative_squared_error: 0.565, scimark_benchmark: 947.4258,

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