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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
Line: 30
Function: sql

File: /var/www/openml/openml_OS/views/pages/frontend/t/pre.php
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Function: query

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Function: loadpage

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
Line: 30
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
Line: 85
Function: loadpage

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

OpenML
Task
Supervised Classification on colic

Supervised Classification on colic

Task 1791 Supervised Classification colic 331 runs submitted
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331 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.7984, kappa: 0.5639, kb_relative_information_score: 921.5482, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7982, predictive_accuracy: 0.8005, prior_entropy: 0.9509, recall: 0.8005, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.8187, scimark_benchmark: 882.7843, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7028, f_measure: 0.6901, kappa: 0.3749, kb_relative_information_score: 557.7029, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7249, predictive_accuracy: 0.6848, prior_entropy: 0.9509, recall: 0.6848, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.5614, root_relative_squared_error: 1.1632, scimark_benchmark: 1318.1432, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.7934, kappa: 0.549, kb_relative_information_score: 1048.1131, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8165, predictive_accuracy: 0.8054, prior_entropy: 0.9509, recall: 0.8054, relative_absolute_error: 0.4174, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.9138, scimark_benchmark: 876.0664, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.8021, kappa: 0.5752, kb_relative_information_score: 1034.8588, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8021, predictive_accuracy: 0.8022, prior_entropy: 0.9509, recall: 0.8022, relative_absolute_error: 0.4244, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.9215, scimark_benchmark: 1321.527, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.8062, kappa: 0.5835, kb_relative_information_score: 796.6899, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.806, predictive_accuracy: 0.8065, prior_entropy: 0.9509, recall: 0.8065, relative_absolute_error: 0.587, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.7987, scimark_benchmark: 915.9324, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7272, f_measure: 0.7272, kappa: 0.4331, kb_relative_information_score: 712.3368, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7426, predictive_accuracy: 0.7228, prior_entropy: 0.9509, recall: 0.7228, relative_absolute_error: 0.5946, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.5265, root_relative_squared_error: 1.0907, scimark_benchmark: 916.9356, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.8028, kappa: 0.5734, kb_relative_information_score: 876.1703, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8026, predictive_accuracy: 0.8049, prior_entropy: 0.9509, recall: 0.8049, relative_absolute_error: 0.5336, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.7867, scimark_benchmark: 1324.8395, usercpu_time_millis: 3620, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 3570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.8138, kappa: 0.5999, kb_relative_information_score: 961.6254, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8136, predictive_accuracy: 0.8141, prior_entropy: 0.9509, recall: 0.8141, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7945, scimark_benchmark: 1368.9272, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8012, kappa: 0.5726, kb_relative_information_score: 954.754, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8009, predictive_accuracy: 0.8016, prior_entropy: 0.9509, recall: 0.8016, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8198, scimark_benchmark: 1355.9413, usercpu_time_millis: 1130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.7676, kappa: 0.4995, kb_relative_information_score: 748.5968, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.767, predictive_accuracy: 0.7685, prior_entropy: 0.9509, recall: 0.7685, relative_absolute_error: 0.5944, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8879, scimark_benchmark: 1307.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.8445, kappa: 0.6629, kb_relative_information_score: 937.987, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8458, predictive_accuracy: 0.8467, prior_entropy: 0.9509, recall: 0.8467, relative_absolute_error: 0.5213, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.7451, scimark_benchmark: 1066.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.8253, kappa: 0.6228, kb_relative_information_score: 928.3795, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.825, predictive_accuracy: 0.8266, prior_entropy: 0.9509, recall: 0.8266, relative_absolute_error: 0.5169, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7877, scimark_benchmark: 825.5282, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7384, f_measure: 0.7719, kappa: 0.5024, kb_relative_information_score: 944.2875, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7784, predictive_accuracy: 0.7799, prior_entropy: 0.9509, recall: 0.7799, relative_absolute_error: 0.4722, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.972, scimark_benchmark: 1315.395, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5424, f_measure: 0.5822, kappa: 0.089, kb_relative_information_score: 195.4179, mean_absolute_error: 0.4043, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.5771, predictive_accuracy: 0.5957, prior_entropy: 0.9509, recall: 0.5957, relative_absolute_error: 0.8674, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.6359, root_relative_squared_error: 1.3174, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.8392, kappa: 0.6522, kb_relative_information_score: 955.0483, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8393, predictive_accuracy: 0.8408, prior_entropy: 0.9509, recall: 0.8408, relative_absolute_error: 0.5054, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7496, scimark_benchmark: 1466.6185, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.8171, kappa: 0.6129, kb_relative_information_score: 1087.8761, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.822, predictive_accuracy: 0.8152, prior_entropy: 0.9509, recall: 0.8152, relative_absolute_error: 0.3964, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.8906, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.8169, kappa: 0.6029, kb_relative_information_score: 1105.5485, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8177, predictive_accuracy: 0.8196, prior_entropy: 0.9509, recall: 0.8196, relative_absolute_error: 0.3871, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.88, scimark_benchmark: 1028.5889, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4875, kb_relative_information_score: -1.371, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.3974, predictive_accuracy: 0.6304, prior_entropy: 0.9509, recall: 0.6304, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4827, root_relative_squared_error: 1, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.8435, kappa: 0.6603, kb_relative_information_score: 952.6179, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8456, predictive_accuracy: 0.8462, prior_entropy: 0.9509, recall: 0.8462, relative_absolute_error: 0.5143, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.759, scimark_benchmark: 1066.833, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7805, build_cpu_time: 1.9006, build_memory: 143914732, f_measure: 0.7567, kappa: 0.4781, kb_relative_information_score: 839.4928, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7568, predictive_accuracy: 0.7565, prior_entropy: 0.9509, recall: 0.7565, relative_absolute_error: 0.5286, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4846, root_relative_squared_error: 1.004, scimark_benchmark: 932.2022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, build_cpu_time: 1.174, build_memory: 578492378.4, f_measure: 0.7584, kappa: 0.4821, kb_relative_information_score: 838.3781, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7587, predictive_accuracy: 0.7582, prior_entropy: 0.9509, recall: 0.7582, relative_absolute_error: 0.5296, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4838, root_relative_squared_error: 1.0023, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.788, build_cpu_time: 0.9774, build_memory: 982418649.6, f_measure: 0.7571, kappa: 0.4788, kb_relative_information_score: 835.5247, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7571, predictive_accuracy: 0.7571, prior_entropy: 0.9509, recall: 0.7571, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4814, root_relative_squared_error: 0.9974, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, build_cpu_time: 0.4356, build_memory: 1292101167.2, f_measure: 0.7563, kappa: 0.4765, kb_relative_information_score: 841.2023, mean_absolute_error: 0.2465, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7561, predictive_accuracy: 0.7565, prior_entropy: 0.9509, recall: 0.7565, relative_absolute_error: 0.5289, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9825, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, build_cpu_time: 0.2452, build_memory: 864582870.4, f_measure: 0.7639, kappa: 0.4929, kb_relative_information_score: 855.4907, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7637, predictive_accuracy: 0.7641, prior_entropy: 0.9509, recall: 0.7641, relative_absolute_error: 0.5225, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.959, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, build_cpu_time: 0.021, build_memory: 222634753.6, f_measure: 0.794, kappa: 0.5589, kb_relative_information_score: 956.1085, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7946, predictive_accuracy: 0.7935, prior_entropy: 0.9509, recall: 0.7935, relative_absolute_error: 0.4746, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.8353, scimark_benchmark: 939.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, build_cpu_time: 0.0373, build_memory: 341582372.8, f_measure: 0.7975, kappa: 0.5672, kb_relative_information_score: 978.4701, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7986, predictive_accuracy: 0.7967, prior_entropy: 0.9509, recall: 0.7967, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.85, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, build_cpu_time: 0.0782, build_memory: 111944044, f_measure: 0.7953, kappa: 0.5623, kb_relative_information_score: 980.7217, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7963, predictive_accuracy: 0.7946, prior_entropy: 0.9509, recall: 0.7946, relative_absolute_error: 0.4578, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8591, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, build_cpu_time: 0.065, build_memory: 958996451.2, f_measure: 0.7953, kappa: 0.5626, kb_relative_information_score: 984.4147, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7964, predictive_accuracy: 0.7946, prior_entropy: 0.9509, recall: 0.7946, relative_absolute_error: 0.4557, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8586, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, build_cpu_time: 0.0596, build_memory: 211321258.4, f_measure: 0.7953, kappa: 0.5626, kb_relative_information_score: 984.4147, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7964, predictive_accuracy: 0.7946, prior_entropy: 0.9509, recall: 0.7946, relative_absolute_error: 0.4557, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8586, scimark_benchmark: 895.3841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8157, build_cpu_time: 0.1891, build_memory: 97885659.2, f_measure: 0.803, kappa: 0.5765, kb_relative_information_score: 1025.8106, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8027, predictive_accuracy: 0.8033, prior_entropy: 0.9509, recall: 0.8033, relative_absolute_error: 0.4306, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.9044, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, build_cpu_time: 0.1548, build_memory: 2189804001.6, f_measure: 0.8032, kappa: 0.5765, kb_relative_information_score: 1032.2922, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8028, predictive_accuracy: 0.8038, prior_entropy: 0.9509, recall: 0.8038, relative_absolute_error: 0.4268, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.434, root_relative_squared_error: 0.8991, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, build_cpu_time: 0.0647, build_memory: 2888184020, f_measure: 0.7947, kappa: 0.5585, kb_relative_information_score: 1000.8191, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7944, predictive_accuracy: 0.7951, prior_entropy: 0.9509, recall: 0.7951, relative_absolute_error: 0.4428, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.439, root_relative_squared_error: 0.9096, scimark_benchmark: 946.9091,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8463, build_cpu_time: 3.0054, build_memory: 2305235241.6, f_measure: 0.8137, kappa: 0.5992, kb_relative_information_score: 1086.5243, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8133, predictive_accuracy: 0.8141, prior_entropy: 0.9509, recall: 0.8141, relative_absolute_error: 0.3972, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.8719, scimark_benchmark: 943.1304,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, build_cpu_time: 0.1464, build_memory: 573119655.2, f_measure: 0.8468, kappa: 0.6681, kb_relative_information_score: 780.5339, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8479, predictive_accuracy: 0.8489, prior_entropy: 0.9509, recall: 0.8489, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7276, scimark_benchmark: 936.8525,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, build_cpu_time: 0.0213, build_memory: 465569414.4, f_measure: 0.7934, kappa: 0.549, kb_relative_information_score: 1048.1131, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8165, predictive_accuracy: 0.8054, prior_entropy: 0.9509, recall: 0.8054, relative_absolute_error: 0.4174, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.9138, scimark_benchmark: 932.1837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, build_cpu_time: 0.0428, build_memory: 751789125.6, f_measure: 0.8021, kappa: 0.5752, kb_relative_information_score: 1034.8588, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8021, predictive_accuracy: 0.8022, prior_entropy: 0.9509, recall: 0.8022, relative_absolute_error: 0.4244, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.9215, scimark_benchmark: 931.9838,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, build_cpu_time: 0.0253, build_memory: 1392776760.8, f_measure: 0.8479, kappa: 0.6703, kb_relative_information_score: 928.2029, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8491, predictive_accuracy: 0.85, prior_entropy: 0.9509, recall: 0.85, relative_absolute_error: 0.5263, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7256, scimark_benchmark: 934.4754,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0002, build_memory: 506031177.6, f_measure: 0.4875, kb_relative_information_score: -1.371, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.3974, predictive_accuracy: 0.6304, prior_entropy: 0.9509, recall: 0.6304, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4827, root_relative_squared_error: 1, scimark_benchmark: 938.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0001, build_memory: 662558797.6, f_measure: 0.4875, kb_relative_information_score: -1.371, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.3974, predictive_accuracy: 0.6304, prior_entropy: 0.9509, recall: 0.6304, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4827, root_relative_squared_error: 1, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, build_cpu_time: 0.0005, build_memory: 540252354.4, f_measure: 0.7976, kappa: 0.5693, kb_relative_information_score: 953.063, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8002, predictive_accuracy: 0.7962, prior_entropy: 0.9509, recall: 0.7962, relative_absolute_error: 0.474, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.86, scimark_benchmark: 947.7747,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, build_cpu_time: 0.2215, build_memory: 440444835.2, f_measure: 0.8038, kappa: 0.576, kb_relative_information_score: 932.8611, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8034, predictive_accuracy: 0.8054, prior_entropy: 0.9509, recall: 0.8054, relative_absolute_error: 0.4921, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.8077, scimark_benchmark: 939.7809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, build_cpu_time: 0.4571, build_memory: 489957793.6, f_measure: 0.8027, kappa: 0.5747, kb_relative_information_score: 933.8782, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8022, predictive_accuracy: 0.8038, prior_entropy: 0.9509, recall: 0.8038, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.8, scimark_benchmark: 921.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, build_cpu_time: 0.8739, build_memory: 557616564.8, f_measure: 0.807, kappa: 0.5846, kb_relative_information_score: 936.4653, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8066, predictive_accuracy: 0.8076, prior_entropy: 0.9509, recall: 0.8076, relative_absolute_error: 0.4921, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.7959, scimark_benchmark: 928.0863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, build_cpu_time: 1.726, build_memory: 385881047.2, f_measure: 0.8065, kappa: 0.5835, kb_relative_information_score: 939.6409, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8061, predictive_accuracy: 0.8071, prior_entropy: 0.9509, recall: 0.8071, relative_absolute_error: 0.492, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.382, root_relative_squared_error: 0.7913, scimark_benchmark: 938.2568,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs