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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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Function: query

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

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

OpenML
OpenML
Supervised Classification on colic

Supervised Classification on colic

Task 257 Supervised Classification colic 351 runs submitted
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351 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.773, kappa: 0.5424, kb_relative_information_score: 64.9571, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7828, predictive_accuracy: 0.7769, prior_entropy: 0.9509, recall: 0.7769, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.8543, scimark_benchmark: 882.7843, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.7337, kappa: 0.4618, kb_relative_information_score: 58.5265, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7355, predictive_accuracy: 0.7355, prior_entropy: 0.9509, recall: 0.7355, relative_absolute_error: 0.5417, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.0183, scimark_benchmark: 916.5955, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.7541, kappa: 0.5157, kb_relative_information_score: 67.3628, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8131, predictive_accuracy: 0.7686, prior_entropy: 0.9509, recall: 0.7686, relative_absolute_error: 0.474, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.481, root_relative_squared_error: 0.9525, scimark_benchmark: 882.7843, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.7525, kappa: 0.503, kb_relative_information_score: 62.9446, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7547, predictive_accuracy: 0.7521, prior_entropy: 0.9509, recall: 0.7521, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.986, scimark_benchmark: 1287.514, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, f_measure: 0.7767, kappa: 0.5493, kb_relative_information_score: 45.7771, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7766, predictive_accuracy: 0.7769, prior_entropy: 0.9509, recall: 0.7769, relative_absolute_error: 0.6877, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8373, scimark_benchmark: 944.0517, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.7658, kappa: 0.5352, kb_relative_information_score: 69.5718, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8094, predictive_accuracy: 0.7769, prior_entropy: 0.9509, recall: 0.7769, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.9354, scimark_benchmark: 1304.9611, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7828, kappa: 0.5614, kb_relative_information_score: 60.3448, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7877, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5517, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.825, scimark_benchmark: 1355.9413, usercpu_time_millis: 2620, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5894, f_measure: 0.5681, kappa: 0.1891, kb_relative_information_score: 27.5998, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.6611, predictive_accuracy: 0.6198, prior_entropy: 0.9509, recall: 0.6198, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.6166, root_relative_squared_error: 1.2209, scimark_benchmark: 1368.9272, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.8082, kappa: 0.6126, kb_relative_information_score: 71.1974, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8122, predictive_accuracy: 0.8099, prior_entropy: 0.9509, recall: 0.8099, relative_absolute_error: 0.4612, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.7872, scimark_benchmark: 825.5282, usercpu_time_millis: 1130, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.7995, kappa: 0.5951, kb_relative_information_score: 53.8572, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8047, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7641, scimark_benchmark: 1333.5799, usercpu_time_millis: 440, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.7226, kappa: 0.4407, kb_relative_information_score: 51.5505, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7305, predictive_accuracy: 0.7273, prior_entropy: 0.9509, recall: 0.7273, relative_absolute_error: 0.6155, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8689, scimark_benchmark: 1301.9956, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.8002, kappa: 0.5963, kb_relative_information_score: 60.3458, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8029, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.5681, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8136, scimark_benchmark: 1066.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.8002, kappa: 0.5963, kb_relative_information_score: 60.3458, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8029, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.5681, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8136, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.7995, kappa: 0.5951, kb_relative_information_score: 59.6445, mean_absolute_error: 0.2808, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8047, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.5751, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.7975, scimark_benchmark: 1073.494, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7652, f_measure: 0.7719, kappa: 0.541, kb_relative_information_score: 69.5718, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7862, predictive_accuracy: 0.7769, prior_entropy: 0.9509, recall: 0.7769, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.9354, scimark_benchmark: 1442.7264, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4727, f_measure: 0.3945, kappa: -0.0587, kb_relative_information_score: -1.1179, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.4033, predictive_accuracy: 0.5124, prior_entropy: 0.9509, recall: 0.5124, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.6983, root_relative_squared_error: 1.3827, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.8483, kappa: 0.6944, kb_relative_information_score: 68.4577, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8634, predictive_accuracy: 0.8512, prior_entropy: 0.9509, recall: 0.8512, relative_absolute_error: 0.5114, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7203, scimark_benchmark: 1341.2341, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.7608, kappa: 0.5203, kb_relative_information_score: 65.1537, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7639, predictive_accuracy: 0.7603, prior_entropy: 0.9509, recall: 0.7603, relative_absolute_error: 0.4909, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9694, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.7525, kappa: 0.503, kb_relative_information_score: 62.9446, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7547, predictive_accuracy: 0.7521, prior_entropy: 0.9509, recall: 0.7521, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.986, scimark_benchmark: 977.6382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.385, kb_relative_information_score: 1.0515, mean_absolute_error: 0.4845, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.2975, predictive_accuracy: 0.5455, prior_entropy: 0.9509, recall: 0.5455, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.5134, root_relative_squared_error: 1.0167, scimark_benchmark: 1028.5889, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8395, kappa: 0.677, kb_relative_information_score: 65.4955, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8571, predictive_accuracy: 0.843, prior_entropy: 0.9509, recall: 0.843, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7416, scimark_benchmark: 977.6382, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7079, build_cpu_time: 3.918, build_memory: 59948728, f_measure: 0.7012, kappa: 0.3963, kb_relative_information_score: 49.4837, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7016, predictive_accuracy: 0.7025, prior_entropy: 0.9509, recall: 0.7025, relative_absolute_error: 0.6116, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.5455, root_relative_squared_error: 1.0802, scimark_benchmark: 943.0278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, build_cpu_time: 2.249, build_memory: 983711264, f_measure: 0.6933, kappa: 0.3805, kb_relative_information_score: 47.7507, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.6933, predictive_accuracy: 0.6942, prior_entropy: 0.9509, recall: 0.6942, relative_absolute_error: 0.6253, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.5484, root_relative_squared_error: 1.0859, scimark_benchmark: 940.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7193, build_cpu_time: 1.532, build_memory: 632648720, f_measure: 0.6846, kappa: 0.3628, kb_relative_information_score: 44.1431, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.6848, predictive_accuracy: 0.686, prior_entropy: 0.9509, recall: 0.686, relative_absolute_error: 0.6527, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.5601, root_relative_squared_error: 1.1091, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7165, build_cpu_time: 0.655, build_memory: 1206802704, f_measure: 0.6933, kappa: 0.3805, kb_relative_information_score: 46.7373, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.6933, predictive_accuracy: 0.6942, prior_entropy: 0.9509, recall: 0.6942, relative_absolute_error: 0.6346, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.5486, root_relative_squared_error: 1.0862, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, build_cpu_time: 0.532, build_memory: 1010645144, f_measure: 0.7099, kappa: 0.414, kb_relative_information_score: 50.6259, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7099, predictive_accuracy: 0.7107, prior_entropy: 0.9509, recall: 0.7107, relative_absolute_error: 0.6046, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.5337, root_relative_squared_error: 1.0567, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, build_cpu_time: 0.031, build_memory: 17572456, f_measure: 0.7836, kappa: 0.5627, kb_relative_information_score: 69.4665, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.786, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.4649, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.8524, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, build_cpu_time: 0.045, build_memory: 389959376, f_measure: 0.7842, kappa: 0.564, kb_relative_information_score: 68.0433, mean_absolute_error: 0.2326, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7851, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.4764, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.8578, scimark_benchmark: 926.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, build_cpu_time: 0.046, build_memory: 134027640, f_measure: 0.7842, kappa: 0.564, kb_relative_information_score: 68.0433, mean_absolute_error: 0.2326, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7851, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.4764, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.8578, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, build_cpu_time: 0.048, build_memory: 1127752416, f_measure: 0.7842, kappa: 0.564, kb_relative_information_score: 68.0433, mean_absolute_error: 0.2326, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7851, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.4764, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.8578, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, build_cpu_time: 0.08, build_memory: 1667468008, f_measure: 0.7842, kappa: 0.564, kb_relative_information_score: 68.0433, mean_absolute_error: 0.2326, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7851, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.4764, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.8578, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, build_cpu_time: 0.005, build_memory: 1382074496, f_measure: 0.7521, kappa: 0.5039, kb_relative_information_score: 64.3569, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7771, predictive_accuracy: 0.7603, prior_entropy: 0.9509, recall: 0.7603, relative_absolute_error: 0.5028, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.8973, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, build_cpu_time: 0.005, build_memory: 2524470432, f_measure: 0.7521, kappa: 0.5039, kb_relative_information_score: 64.3569, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7771, predictive_accuracy: 0.7603, prior_entropy: 0.9509, recall: 0.7603, relative_absolute_error: 0.5028, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.8973, scimark_benchmark: 934.6076,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, build_cpu_time: 0.263, build_memory: 615906080, f_measure: 0.8002, kappa: 0.5963, kb_relative_information_score: 74.6957, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8029, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.4205, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.8715, scimark_benchmark: 919.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, build_cpu_time: 0.519, build_memory: 107458832, f_measure: 0.7676, kappa: 0.5305, kb_relative_information_score: 66.537, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7684, predictive_accuracy: 0.7686, prior_entropy: 0.9509, recall: 0.7686, relative_absolute_error: 0.4814, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4793, root_relative_squared_error: 0.9492, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7815, build_cpu_time: 1.369, build_memory: 139116048, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 71.5745, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9181, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, build_cpu_time: 0.034, build_memory: 240646312, f_measure: 0.7987, kappa: 0.5938, kb_relative_information_score: 75.7594, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8073, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.4112, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.8784, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, build_cpu_time: 0.026, build_memory: 932937264, f_measure: 0.7987, kappa: 0.5938, kb_relative_information_score: 75.7594, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8073, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.4112, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.8784, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, build_cpu_time: 0.081, build_memory: 32879256, f_measure: 0.7265, kappa: 0.4475, kb_relative_information_score: 55.0044, mean_absolute_error: 0.2798, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7266, predictive_accuracy: 0.7273, prior_entropy: 0.9509, recall: 0.7273, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9184, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, build_cpu_time: 0.101, build_memory: 680585000, f_measure: 0.7516, kappa: 0.4985, kb_relative_information_score: 59.9814, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7516, predictive_accuracy: 0.7521, prior_entropy: 0.9509, recall: 0.7521, relative_absolute_error: 0.5376, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4558, root_relative_squared_error: 0.9025, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, build_cpu_time: 9.496, build_memory: 263376512, f_measure: 0.8146, kappa: 0.6265, kb_relative_information_score: 80.7574, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8283, predictive_accuracy: 0.8182, prior_entropy: 0.9509, recall: 0.8182, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.8388, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, build_cpu_time: 4.124, build_memory: 1094803088, f_measure: 0.8002, kappa: 0.5963, kb_relative_information_score: 76.9822, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8029, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.3989, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4337, root_relative_squared_error: 0.8588, scimark_benchmark: 919.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, build_cpu_time: 2.364, build_memory: 1397692704, f_measure: 0.8067, kappa: 0.6102, kb_relative_information_score: 79.2197, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8176, predictive_accuracy: 0.8099, prior_entropy: 0.9509, recall: 0.8099, relative_absolute_error: 0.3821, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8324, scimark_benchmark: 906.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, build_cpu_time: 1.271, build_memory: 1135562920, f_measure: 0.8146, kappa: 0.6265, kb_relative_information_score: 78.3605, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8283, predictive_accuracy: 0.8182, prior_entropy: 0.9509, recall: 0.8182, relative_absolute_error: 0.3932, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8118, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7902, build_cpu_time: 0.092, build_memory: 1695925800, f_measure: 0.7058, kappa: 0.4068, kb_relative_information_score: 56.5015, mean_absolute_error: 0.2714, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7131, predictive_accuracy: 0.7107, prior_entropy: 0.9509, recall: 0.7107, relative_absolute_error: 0.556, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.5054, root_relative_squared_error: 1.0007, scimark_benchmark: 909.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, build_cpu_time: 0.107, build_memory: 1677986304, f_measure: 0.7762, kappa: 0.5479, kb_relative_information_score: 64.9142, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7765, predictive_accuracy: 0.7769, prior_entropy: 0.9509, recall: 0.7769, relative_absolute_error: 0.5051, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8255, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, build_cpu_time: 0.002, build_memory: 865640568, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 65.2359, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8302, scimark_benchmark: 943.7068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, build_cpu_time: 0.17, build_memory: 1008553680, f_measure: 0.7995, kappa: 0.5951, kb_relative_information_score: 53.8572, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8047, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7641, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, build_cpu_time: 0.007, build_memory: 147685496, f_measure: 0.767, kappa: 0.5291, kb_relative_information_score: 53.7125, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7692, predictive_accuracy: 0.7686, prior_entropy: 0.9509, recall: 0.7686, relative_absolute_error: 0.6155, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.436, root_relative_squared_error: 0.8634, scimark_benchmark: 912.1058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, build_cpu_time: 0.001, build_memory: 1407767448, f_measure: 0.7987, kappa: 0.5938, kb_relative_information_score: 75.7594, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8073, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.4112, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.8784, scimark_benchmark: 906.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, build_cpu_time: 0.022, build_memory: 576029272, f_measure: 0.7541, kappa: 0.5157, kb_relative_information_score: 67.3628, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8131, predictive_accuracy: 0.7686, prior_entropy: 0.9509, recall: 0.7686, relative_absolute_error: 0.474, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.481, root_relative_squared_error: 0.9525, scimark_benchmark: 909.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, build_cpu_time: 0.027, build_memory: 710977440, f_measure: 0.7525, kappa: 0.503, kb_relative_information_score: 62.9446, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7547, predictive_accuracy: 0.7521, prior_entropy: 0.9509, recall: 0.7521, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.986, scimark_benchmark: 935.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, build_cpu_time: 0.051, build_memory: 138937320, f_measure: 0.7359, kappa: 0.4683, kb_relative_information_score: 58.5265, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7366, predictive_accuracy: 0.7355, prior_entropy: 0.9509, recall: 0.7355, relative_absolute_error: 0.5417, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.0183, scimark_benchmark: 935.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7329, build_cpu_time: 0.042, build_memory: 61046976, f_measure: 0.7265, kappa: 0.4475, kb_relative_information_score: 56.3354, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7266, predictive_accuracy: 0.7273, prior_entropy: 0.9509, recall: 0.7273, relative_absolute_error: 0.5584, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.522, root_relative_squared_error: 1.0337, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, build_cpu_time: 0.005, build_memory: 834737496, f_measure: 0.8013, kappa: 0.5988, kb_relative_information_score: 70.4161, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8014, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.4624, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8518, scimark_benchmark: 920.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, build_cpu_time: 0.19, build_memory: 66269512, f_measure: 0.833, kappa: 0.6626, kb_relative_information_score: 64.4679, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8388, predictive_accuracy: 0.8347, prior_entropy: 0.9509, recall: 0.8347, relative_absolute_error: 0.5373, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7484, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, build_cpu_time: 0.012, build_memory: 632437464, f_measure: 0.7842, kappa: 0.564, kb_relative_information_score: 57.8076, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7851, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5737, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8166, scimark_benchmark: 946.8522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, build_cpu_time: 0.006, build_memory: 155062608, f_measure: 0.7608, kappa: 0.5203, kb_relative_information_score: 65.1537, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7639, predictive_accuracy: 0.7603, prior_entropy: 0.9509, recall: 0.7603, relative_absolute_error: 0.4909, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9694, scimark_benchmark: 943.9113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, build_cpu_time: 0.006, build_memory: 1134913456, f_measure: 0.7608, kappa: 0.5203, kb_relative_information_score: 65.1537, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7639, predictive_accuracy: 0.7603, prior_entropy: 0.9509, recall: 0.7603, relative_absolute_error: 0.4909, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9694, scimark_benchmark: 929.8725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, build_cpu_time: 0.066, build_memory: 548942008, f_measure: 0.8395, kappa: 0.677, kb_relative_information_score: 65.4955, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8571, predictive_accuracy: 0.843, prior_entropy: 0.9509, recall: 0.843, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7416, scimark_benchmark: 922.5645,

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