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

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Function: loadpage

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

OpenML
Task
Supervised Classification on grub-damage

Supervised Classification on grub-damage

Task 3497 Supervised Classification grub-damage 506 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • study_1 study_107 study_41 study_7 under100k under1m
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506 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5105, build_cpu_time: 0.0043, build_memory: 73077642.9935, f_measure: 0.2655, kappa: 0.0437, kb_relative_information_score: 9.2862, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.2435, predictive_accuracy: 0.329, prior_entropy: 1.9281, recall: 0.329, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4311, root_relative_squared_error: 1.0113, scimark_benchmark: 937.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6748, build_cpu_time: 1.5324, build_memory: 922597436.5419, f_measure: 0.451, kappa: 0.2406, kb_relative_information_score: 48.5527, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4523, predictive_accuracy: 0.4516, prior_entropy: 1.9281, recall: 0.4516, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4938, root_relative_squared_error: 1.1582, scimark_benchmark: 930.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6702, build_cpu_time: 0.7607, build_memory: 2357181587.3548, f_measure: 0.4199, kappa: 0.1935, kb_relative_information_score: 47.2265, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4262, predictive_accuracy: 0.4194, prior_entropy: 1.9281, recall: 0.4194, relative_absolute_error: 0.7768, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4731, root_relative_squared_error: 1.1096, scimark_benchmark: 930.7694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6658, build_cpu_time: 0.3971, build_memory: 877971715.871, f_measure: 0.4567, kappa: 0.253, kb_relative_information_score: 44.2714, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4558, predictive_accuracy: 0.4581, prior_entropy: 1.9281, recall: 0.4581, relative_absolute_error: 0.8102, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4454, root_relative_squared_error: 1.0446, scimark_benchmark: 921.4443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, build_cpu_time: 0.0038, build_memory: 540491589.2645, f_measure: 0.4158, kappa: 0.1966, kb_relative_information_score: 39.5739, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4211, predictive_accuracy: 0.4129, prior_entropy: 1.9281, recall: 0.4129, relative_absolute_error: 0.8389, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4626, root_relative_squared_error: 1.0851, scimark_benchmark: 888.4611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, build_cpu_time: 0.0452, build_memory: 590662217.8065, f_measure: 0.3707, kappa: 0.1361, kb_relative_information_score: 30.9588, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3719, predictive_accuracy: 0.3742, prior_entropy: 1.9281, recall: 0.3742, relative_absolute_error: 0.8944, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4362, root_relative_squared_error: 1.0232, scimark_benchmark: 875.7999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5466, build_cpu_time: 0.0038, build_memory: 969871013.2129, f_measure: 0.2821, kappa: 0.0688, kb_relative_information_score: 13.7231, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3059, predictive_accuracy: 0.3484, prior_entropy: 1.9281, recall: 0.3484, relative_absolute_error: 0.9622, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4341, root_relative_squared_error: 1.0182, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5631, build_cpu_time: 0.0001, build_memory: 914978208, f_measure: 0.3707, kappa: 0.1381, kb_relative_information_score: 31.9897, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.369, predictive_accuracy: 0.3742, prior_entropy: 1.9281, recall: 0.3742, relative_absolute_error: 0.8776, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.5467, root_relative_squared_error: 1.2824, scimark_benchmark: 933.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5686, build_cpu_time: 0.0323, build_memory: 806750384.2065, f_measure: 0.3013, kappa: 0.1382, kb_relative_information_score: 19.6569, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.2645, predictive_accuracy: 0.4065, prior_entropy: 1.9281, recall: 0.4065, relative_absolute_error: 0.9399, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4349, root_relative_squared_error: 1.0202, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, build_cpu_time: 0.0399, build_memory: 273299613.7806, f_measure: 0.4743, kappa: 0.2759, kb_relative_information_score: 36.0517, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4743, predictive_accuracy: 0.4774, prior_entropy: 1.9281, recall: 0.4774, relative_absolute_error: 0.8853, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.9607, scimark_benchmark: 928.1083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, build_cpu_time: 0.0717, build_memory: 669648547.3548, f_measure: 0.4422, kappa: 0.2344, kb_relative_information_score: 45.3379, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4422, predictive_accuracy: 0.4452, prior_entropy: 1.9281, recall: 0.4452, relative_absolute_error: 0.7857, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4672, root_relative_squared_error: 1.0958, scimark_benchmark: 942.3674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7322, build_cpu_time: 0.0003, build_memory: 745321251.871, f_measure: 0.5128, kappa: 0.3358, kb_relative_information_score: 55.9927, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.5139, predictive_accuracy: 0.5161, prior_entropy: 1.9281, recall: 0.5161, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.9678, scimark_benchmark: 908.7121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, build_cpu_time: 0.0078, build_memory: 689463035.5097, f_measure: 0.4057, kappa: 0.1825, kb_relative_information_score: 35.1536, mean_absolute_error: 0.3189, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4055, predictive_accuracy: 0.4065, prior_entropy: 1.9281, recall: 0.4065, relative_absolute_error: 0.8765, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4379, root_relative_squared_error: 1.0272, scimark_benchmark: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, build_cpu_time: 0.0071, build_memory: 122939253.1613, f_measure: 0.4057, kappa: 0.1825, kb_relative_information_score: 35.1536, mean_absolute_error: 0.3189, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4055, predictive_accuracy: 0.4065, prior_entropy: 1.9281, recall: 0.4065, relative_absolute_error: 0.8765, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4379, root_relative_squared_error: 1.0272, scimark_benchmark: 933.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, build_cpu_time: 0.0068, build_memory: 1168309888.5161, f_measure: 0.4057, kappa: 0.1825, kb_relative_information_score: 35.1536, mean_absolute_error: 0.3189, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4055, predictive_accuracy: 0.4065, prior_entropy: 1.9281, recall: 0.4065, relative_absolute_error: 0.8765, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4379, root_relative_squared_error: 1.0272, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5105, build_cpu_time: 0.0013, build_memory: 68519152, f_measure: 0.2655, kappa: 0.0437, kb_relative_information_score: 9.2862, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.2435, predictive_accuracy: 0.329, prior_entropy: 1.9281, recall: 0.329, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4311, root_relative_squared_error: 1.0113, scimark_benchmark: 934.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6082, build_cpu_time: 0.0001, build_memory: 155189400, f_measure: 0.4213, kappa: 0.2157, kb_relative_information_score: 44.3507, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4251, predictive_accuracy: 0.4323, prior_entropy: 1.9281, recall: 0.4323, relative_absolute_error: 0.7803, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.5328, root_relative_squared_error: 1.2497, scimark_benchmark: 943.9113,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6293, build_cpu_time: 0.001, build_memory: 609635141.8323, f_measure: 0.3799, kappa: 0.1506, kb_relative_information_score: 35.6518, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3771, predictive_accuracy: 0.3871, prior_entropy: 1.9281, recall: 0.3871, relative_absolute_error: 0.8715, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4733, root_relative_squared_error: 1.1101, scimark_benchmark: 946.8522,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, build_cpu_time: 0.0269, build_memory: 1581051144.4129, f_measure: 0.4108, kappa: 0.193, kb_relative_information_score: 36.7368, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4123, predictive_accuracy: 0.4129, prior_entropy: 1.9281, recall: 0.4129, relative_absolute_error: 0.866, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4307, root_relative_squared_error: 1.0103, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, build_cpu_time: 0.0276, build_memory: 906046763.1484, f_measure: 0.4108, kappa: 0.193, kb_relative_information_score: 36.7368, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4123, predictive_accuracy: 0.4129, prior_entropy: 1.9281, recall: 0.4129, relative_absolute_error: 0.866, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4307, root_relative_squared_error: 1.0103, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6668, build_cpu_time: 0.0133, build_memory: 1986596216.4129, f_measure: 0.4239, kappa: 0.2099, kb_relative_information_score: 36.8261, mean_absolute_error: 0.3157, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4232, predictive_accuracy: 0.4258, prior_entropy: 1.9281, recall: 0.4258, relative_absolute_error: 0.8679, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4333, root_relative_squared_error: 1.0162, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6634, build_cpu_time: 0.009, build_memory: 790623268.5419, f_measure: 0.3833, kappa: 0.1492, kb_relative_information_score: 32.5075, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3829, predictive_accuracy: 0.3871, prior_entropy: 1.9281, recall: 0.3871, relative_absolute_error: 0.8818, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4361, root_relative_squared_error: 1.0229, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6614, build_cpu_time: 0.018, build_memory: 1118019900.5936, f_measure: 0.3945, kappa: 0.1675, kb_relative_information_score: 33.1179, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3908, predictive_accuracy: 0.4, prior_entropy: 1.9281, recall: 0.4, relative_absolute_error: 0.8794, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.0212, scimark_benchmark: 929.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6614, build_cpu_time: 0.0169, build_memory: 1167153350.9677, f_measure: 0.3945, kappa: 0.1675, kb_relative_information_score: 33.1179, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3908, predictive_accuracy: 0.4, prior_entropy: 1.9281, recall: 0.4, relative_absolute_error: 0.8794, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.0212, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6665, build_cpu_time: 3.8371, build_memory: 2319643799.4839, f_measure: 0.3657, kappa: 0.1302, kb_relative_information_score: 30.97, mean_absolute_error: 0.3251, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3644, predictive_accuracy: 0.3742, prior_entropy: 1.9281, recall: 0.3742, relative_absolute_error: 0.8935, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4229, root_relative_squared_error: 0.992, scimark_benchmark: 910.0739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6657, build_cpu_time: 1.7819, build_memory: 1489521000.5161, f_measure: 0.3648, kappa: 0.1297, kb_relative_information_score: 30.9999, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3617, predictive_accuracy: 0.3742, prior_entropy: 1.9281, recall: 0.3742, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.423, root_relative_squared_error: 0.9922, scimark_benchmark: 898.6863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, build_cpu_time: 0.2493, build_memory: 895049629.2645, f_measure: 0.4134, kappa: 0.1923, kb_relative_information_score: 31.3157, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.415, predictive_accuracy: 0.4129, prior_entropy: 1.9281, recall: 0.4129, relative_absolute_error: 0.8952, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.9991, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, build_cpu_time: 0.2451, build_memory: 2414859759.8452, f_measure: 0.4134, kappa: 0.1923, kb_relative_information_score: 31.3157, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.415, predictive_accuracy: 0.4129, prior_entropy: 1.9281, recall: 0.4129, relative_absolute_error: 0.8952, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.9991, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.663, build_cpu_time: 0.0016, build_memory: 880954506.8387, f_measure: 0.4568, kappa: 0.2624, kb_relative_information_score: 45.281, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4806, predictive_accuracy: 0.4645, prior_entropy: 1.9281, recall: 0.4645, relative_absolute_error: 0.8078, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.457, root_relative_squared_error: 1.072, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6598, build_cpu_time: 0.0025, build_memory: 671669824.2065, f_measure: 0.4362, kappa: 0.2332, kb_relative_information_score: 42.2959, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4437, predictive_accuracy: 0.4452, prior_entropy: 1.9281, recall: 0.4452, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.459, root_relative_squared_error: 1.0767, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, build_cpu_time: 0.0055, build_memory: 923935692.5419, f_measure: 0.4489, kappa: 0.2516, kb_relative_information_score: 42.4965, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4583, predictive_accuracy: 0.4581, prior_entropy: 1.9281, recall: 0.4581, relative_absolute_error: 0.8224, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4556, root_relative_squared_error: 1.0686, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, build_cpu_time: 0.541, build_memory: 1026417924.0774, f_measure: 0.4297, kappa: 0.2149, kb_relative_information_score: 37.8488, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4297, predictive_accuracy: 0.4323, prior_entropy: 1.9281, recall: 0.4323, relative_absolute_error: 0.8521, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.9611, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, build_cpu_time: 0.4852, build_memory: 721909985.3935, f_measure: 0.4297, kappa: 0.2149, kb_relative_information_score: 37.8488, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4297, predictive_accuracy: 0.4323, prior_entropy: 1.9281, recall: 0.4323, relative_absolute_error: 0.8521, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.9611, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.659, build_cpu_time: 0.0075, build_memory: 256628623.7419, f_measure: 0.4201, kappa: 0.2152, kb_relative_information_score: 41.6624, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4252, predictive_accuracy: 0.4323, prior_entropy: 1.9281, recall: 0.4323, relative_absolute_error: 0.827, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4547, root_relative_squared_error: 1.0666, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, build_cpu_time: 0.0176, build_memory: 142720080.5677, f_measure: 0.4332, kappa: 0.234, kb_relative_information_score: 41.8861, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4403, predictive_accuracy: 0.4452, prior_entropy: 1.9281, recall: 0.4452, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4532, root_relative_squared_error: 1.0631, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7317, build_cpu_time: 0.0261, build_memory: 965158870.5032, f_measure: 0.5034, kappa: 0.3262, kb_relative_information_score: 52.7213, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.5009, predictive_accuracy: 0.5097, prior_entropy: 1.9281, recall: 0.5097, relative_absolute_error: 0.7631, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.9497, scimark_benchmark: 932.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, build_cpu_time: 241.1481, build_memory: 584701872.1032, f_measure: 0.4103, kappa: 0.1864, kb_relative_information_score: 39.0511, mean_absolute_error: 0.3082, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4113, predictive_accuracy: 0.4129, prior_entropy: 1.9281, recall: 0.4129, relative_absolute_error: 0.8473, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4308, root_relative_squared_error: 1.0106, scimark_benchmark: 931.2177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, build_cpu_time: 367.2763, build_memory: 635864572.6452, f_measure: 0.4044, kappa: 0.1776, kb_relative_information_score: 39.2071, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4057, predictive_accuracy: 0.4065, prior_entropy: 1.9281, recall: 0.4065, relative_absolute_error: 0.8458, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4306, root_relative_squared_error: 1.0101, scimark_benchmark: 942.3073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, build_cpu_time: 0.0224, build_memory: 899818027.7161, f_measure: 0.4206, kappa: 0.2417, kb_relative_information_score: 28.6445, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.403, predictive_accuracy: 0.4516, prior_entropy: 1.9281, recall: 0.4516, relative_absolute_error: 0.9005, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.9458, scimark_benchmark: 942.4935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, build_cpu_time: 0.0097, build_memory: 1233215452.5936, f_measure: 0.4174, kappa: 0.2418, kb_relative_information_score: 28.6986, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3947, predictive_accuracy: 0.4516, prior_entropy: 1.9281, recall: 0.4516, relative_absolute_error: 0.8995, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.945, scimark_benchmark: 946.5361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6862, build_cpu_time: 0.0068, build_memory: 296377975.8452, f_measure: 0.4264, kappa: 0.2626, kb_relative_information_score: 28.9661, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.403, predictive_accuracy: 0.4645, prior_entropy: 1.9281, recall: 0.4645, relative_absolute_error: 0.8993, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.9442, scimark_benchmark: 946.5361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6823, build_cpu_time: 0.002, build_memory: 728423876.9548, f_measure: 0.4361, kappa: 0.2705, kb_relative_information_score: 28.987, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.42, predictive_accuracy: 0.471, prior_entropy: 1.9281, recall: 0.471, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.9447, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.682, build_cpu_time: 0.0021, build_memory: 1011355404.7484, f_measure: 0.4392, kappa: 0.2613, kb_relative_information_score: 30.1094, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4312, predictive_accuracy: 0.4645, prior_entropy: 1.9281, recall: 0.4645, relative_absolute_error: 0.8927, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.9408, scimark_benchmark: 941.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6631, build_cpu_time: 1.8315, build_memory: 1235119546.9419, f_measure: 0.4208, kappa: 0.2046, kb_relative_information_score: 39.6303, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4249, predictive_accuracy: 0.4194, prior_entropy: 1.9281, recall: 0.4194, relative_absolute_error: 0.8417, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4485, root_relative_squared_error: 1.052, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6767, build_cpu_time: 5.2336, build_memory: 918440522.8903, f_measure: 0.3957, kappa: 0.1704, kb_relative_information_score: 39.1768, mean_absolute_error: 0.3083, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4, predictive_accuracy: 0.3935, prior_entropy: 1.9281, recall: 0.3935, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4396, root_relative_squared_error: 1.0312, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6702, build_cpu_time: 10.0861, build_memory: 1125869638.5032, f_measure: 0.4093, kappa: 0.1874, kb_relative_information_score: 37.4952, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4155, predictive_accuracy: 0.4065, prior_entropy: 1.9281, recall: 0.4065, relative_absolute_error: 0.8589, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4401, root_relative_squared_error: 1.0323, scimark_benchmark: 943.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6622, build_cpu_time: 18.6061, build_memory: 1099904839.7419, f_measure: 0.3933, kappa: 0.1647, kb_relative_information_score: 36.7727, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3942, predictive_accuracy: 0.3935, prior_entropy: 1.9281, recall: 0.3935, relative_absolute_error: 0.8646, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4402, root_relative_squared_error: 1.0326, scimark_benchmark: 945.0883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, build_cpu_time: 37.2987, build_memory: 130283176.2065, f_measure: 0.3887, kappa: 0.1591, kb_relative_information_score: 36.7016, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3921, predictive_accuracy: 0.3871, prior_entropy: 1.9281, recall: 0.3871, relative_absolute_error: 0.8648, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4397, root_relative_squared_error: 1.0314, scimark_benchmark: 945.3888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6564, build_cpu_time: 0.6742, build_memory: 1072267813.5226, f_measure: 0.3699, kappa: 0.1582, kb_relative_information_score: 25.9417, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3541, predictive_accuracy: 0.3935, prior_entropy: 1.9281, recall: 0.3935, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.9719, scimark_benchmark: 739.1024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, build_cpu_time: 0.9041, build_memory: 1770202410.8903, f_measure: 0.3546, kappa: 0.1477, kb_relative_information_score: 26.5425, mean_absolute_error: 0.3314, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3315, predictive_accuracy: 0.3871, prior_entropy: 1.9281, recall: 0.3871, relative_absolute_error: 0.911, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.9685, scimark_benchmark: 941.5242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6658, build_cpu_time: 0.0835, build_memory: 1456199310.6065, f_measure: 0.3788, kappa: 0.1475, kb_relative_information_score: 34.3708, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3792, predictive_accuracy: 0.3806, prior_entropy: 1.9281, recall: 0.3806, relative_absolute_error: 0.8736, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4342, root_relative_squared_error: 1.0186, scimark_benchmark: 945.5312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, build_cpu_time: 0.047, build_memory: 1132436531.3548, f_measure: 0.3849, kappa: 0.1564, kb_relative_information_score: 34.5794, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3849, predictive_accuracy: 0.3871, prior_entropy: 1.9281, recall: 0.3871, relative_absolute_error: 0.8727, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4344, root_relative_squared_error: 1.0191, scimark_benchmark: 837.8971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6532, build_cpu_time: 0.0197, build_memory: 2275656780.1807, f_measure: 0.3652, kappa: 0.1286, kb_relative_information_score: 34.3375, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3636, predictive_accuracy: 0.3677, prior_entropy: 1.9281, recall: 0.3677, relative_absolute_error: 0.8777, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4399, root_relative_squared_error: 1.0319, scimark_benchmark: 918.2148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6538, build_cpu_time: 0.0083, build_memory: 1477980463.7936, f_measure: 0.4028, kappa: 0.1816, kb_relative_information_score: 35.3508, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4106, predictive_accuracy: 0.4, prior_entropy: 1.9281, recall: 0.4, relative_absolute_error: 0.8745, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4422, root_relative_squared_error: 1.0373, scimark_benchmark: 943.6032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6538, build_cpu_time: 0.0088, build_memory: 1294164529.5484, f_measure: 0.4028, kappa: 0.1816, kb_relative_information_score: 35.3508, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4106, predictive_accuracy: 0.4, prior_entropy: 1.9281, recall: 0.4, relative_absolute_error: 0.8745, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4422, root_relative_squared_error: 1.0373, scimark_benchmark: 937.4904,

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