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Function: sql

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File: /var/www/openml/index.php
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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 pasture

Supervised Classification on pasture

Task 3059 Supervised Classification pasture 309 runs submitted
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309 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.4636, kappa: 0.1951, kb_relative_information_score: 3.072, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.697, predictive_accuracy: 0.4545, prior_entropy: 1.585, recall: 0.4545, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4607, root_relative_squared_error: 0.9773, scimark_benchmark: 940.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0152, kb_relative_information_score: -1.5835, mean_absolute_error: 0.5455, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.0083, predictive_accuracy: 0.0909, prior_entropy: 1.585, recall: 0.0909, relative_absolute_error: 1.2273, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6303, root_relative_squared_error: 1.3371, scimark_benchmark: 1325.2092, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.6636, kappa: 0.4359, kb_relative_information_score: 4.0474, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.7576, predictive_accuracy: 0.6364, prior_entropy: 1.585, recall: 0.6364, relative_absolute_error: 0.7273, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8876, scimark_benchmark: 887.6719, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.8065, kappa: 0.6812, kb_relative_information_score: 7.483, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8766, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.6751, scimark_benchmark: 942.9518, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5857, f_measure: 0.4636, kappa: 0.1538, kb_relative_information_score: 2.7856, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.5303, predictive_accuracy: 0.4545, prior_entropy: 1.585, recall: 0.4545, relative_absolute_error: 0.8182, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.603, root_relative_squared_error: 1.2792, scimark_benchmark: 942.9708, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.6534, kappa: 0.443, kb_relative_information_score: 6.3785, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.75, predictive_accuracy: 0.6364, prior_entropy: 1.585, recall: 0.6364, relative_absolute_error: 0.4527, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.7917, scimark_benchmark: 1368.9272, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.8333, kappa: 0.7027, kb_relative_information_score: 5.724, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9394, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7539, scimark_benchmark: 1336.2509, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5429, f_measure: 0.3335, kappa: 0.0833, kb_relative_information_score: 1.4165, mean_absolute_error: 0.4242, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.6797, predictive_accuracy: 0.3636, prior_entropy: 1.585, recall: 0.3636, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6513, root_relative_squared_error: 1.3817, scimark_benchmark: 1346.9602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.1667, kappa: -0.0233, kb_relative_information_score: 4.5134, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.1212, predictive_accuracy: 0.2727, prior_entropy: 1.585, recall: 0.2727, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.9045, scimark_benchmark: 1335.4072, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8333, kappa: 0.7027, kb_relative_information_score: 8.3411, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9394, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.2614, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.6784, scimark_benchmark: 1346.9602, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7357, f_measure: 0.6424, kappa: 0.4286, kb_relative_information_score: 5.5237, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.7727, predictive_accuracy: 0.6364, prior_entropy: 1.585, recall: 0.6364, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.0445, scimark_benchmark: 1318.1432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0152, kb_relative_information_score: -2.6907, mean_absolute_error: 0.6061, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.0083, predictive_accuracy: 0.0909, prior_entropy: 1.585, recall: 0.0909, relative_absolute_error: 1.3636, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7785, root_relative_squared_error: 1.6514, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.8333, kappa: 0.7027, kb_relative_information_score: 8.2619, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9394, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.2727, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.7385, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.5399, kappa: 0.4133, kb_relative_information_score: 5.5237, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.4903, predictive_accuracy: 0.6364, prior_entropy: 1.585, recall: 0.6364, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.0445, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.5758, kappa: 0.45, kb_relative_information_score: 5.5237, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.5636, predictive_accuracy: 0.6364, prior_entropy: 1.585, recall: 0.6364, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.0445, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0152, kb_relative_information_score: -0.479, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.0083, predictive_accuracy: 0.0909, prior_entropy: 1.585, recall: 0.0909, relative_absolute_error: 1.0617, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0713, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.8333, kappa: 0.7027, kb_relative_information_score: 8.5237, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9394, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.2386, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6528, scimark_benchmark: 1503.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, build_cpu_time: 0.121, build_memory: 1029809184, f_measure: 0.7491, kappa: 0.5658, kb_relative_information_score: 6.7787, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8182, predictive_accuracy: 0.7273, prior_entropy: 1.585, recall: 0.7273, relative_absolute_error: 0.4252, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.9066, scimark_benchmark: 936.5273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, build_cpu_time: 0.085, build_memory: 1340138976, f_measure: 0.7491, kappa: 0.5658, kb_relative_information_score: 6.7787, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8182, predictive_accuracy: 0.7273, prior_entropy: 1.585, recall: 0.7273, relative_absolute_error: 0.4252, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.9066, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, build_cpu_time: 0.096, build_memory: 877543160, f_measure: 0.7491, kappa: 0.5658, kb_relative_information_score: 6.7787, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8182, predictive_accuracy: 0.7273, prior_entropy: 1.585, recall: 0.7273, relative_absolute_error: 0.4252, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.9066, scimark_benchmark: 943.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, build_cpu_time: 0.111, build_memory: 576400592, f_measure: 0.7491, kappa: 0.5658, kb_relative_information_score: 6.7787, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8182, predictive_accuracy: 0.7273, prior_entropy: 1.585, recall: 0.7273, relative_absolute_error: 0.4252, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.9066, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, build_cpu_time: 0.002, build_memory: 1169018520, f_measure: 0.1667, kappa: -0.0233, kb_relative_information_score: 3.0268, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.1212, predictive_accuracy: 0.2727, prior_entropy: 1.585, recall: 0.2727, relative_absolute_error: 0.8076, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.8999, scimark_benchmark: 947.2691,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, build_cpu_time: 0.086, build_memory: 3236308792, f_measure: 0.8292, kappa: 0.6986, kb_relative_information_score: 8.2675, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8636, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.2719, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.7363, scimark_benchmark: 949.8157,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, build_cpu_time: 0.002, build_memory: 1337146024, f_measure: 0.8292, kappa: 0.6986, kb_relative_information_score: 7.3976, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8636, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.3773, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.331, root_relative_squared_error: 0.7022, scimark_benchmark: 942.9279,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, build_cpu_time: 0.012, build_memory: 394285176, f_measure: 0.6636, kappa: 0.4359, kb_relative_information_score: 4.0474, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.7576, predictive_accuracy: 0.6364, prior_entropy: 1.585, recall: 0.6364, relative_absolute_error: 0.7273, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8876, scimark_benchmark: 936.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, build_cpu_time: 0.011, build_memory: 56868456, f_measure: 0.8333, kappa: 0.7027, kb_relative_information_score: 7.8229, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9394, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.3307, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.7505, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, build_memory: 701945496, f_measure: 0.6534, kappa: 0.443, kb_relative_information_score: 6.0111, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.75, predictive_accuracy: 0.6364, prior_entropy: 1.585, recall: 0.6364, relative_absolute_error: 0.4909, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4424, root_relative_squared_error: 0.9385, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, build_cpu_time: 0.002, build_memory: 734677240, f_measure: 0.6944, kappa: 0.5417, kb_relative_information_score: 4.371, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8615, predictive_accuracy: 0.7273, prior_entropy: 1.585, recall: 0.7273, relative_absolute_error: 0.7077, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8508, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, build_cpu_time: 0.004, build_memory: 108317864, f_measure: 0.6944, kappa: 0.5417, kb_relative_information_score: 4.371, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8615, predictive_accuracy: 0.7273, prior_entropy: 1.585, recall: 0.7273, relative_absolute_error: 0.7077, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8508, scimark_benchmark: 943.0033,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, build_cpu_time: 0.004, build_memory: 778638232, f_measure: 0.9177, kappa: 0.8451, kb_relative_information_score: 8.8858, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9545, predictive_accuracy: 0.9091, prior_entropy: 1.585, recall: 0.9091, relative_absolute_error: 0.2335, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.4945, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, build_memory: 526854344, f_measure: 0.5399, kappa: 0.4133, kb_relative_information_score: 5.5237, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.4903, predictive_accuracy: 0.6364, prior_entropy: 1.585, recall: 0.6364, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.0445, scimark_benchmark: 927.6633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, build_cpu_time: 0.001, build_memory: 603581352, f_measure: 0.6534, kappa: 0.443, kb_relative_information_score: 6.0111, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.75, predictive_accuracy: 0.6364, prior_entropy: 1.585, recall: 0.6364, relative_absolute_error: 0.4909, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4424, root_relative_squared_error: 0.9385, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, build_cpu_time: 0.123, build_memory: 482595104, f_measure: 0.7491, kappa: 0.5658, kb_relative_information_score: 4.7059, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8182, predictive_accuracy: 0.7273, prior_entropy: 1.585, recall: 0.7273, relative_absolute_error: 0.6773, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7926, scimark_benchmark: 936.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, build_cpu_time: 0.235, build_memory: 1414991224, f_measure: 0.7491, kappa: 0.5658, kb_relative_information_score: 4.8963, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8182, predictive_accuracy: 0.7273, prior_entropy: 1.585, recall: 0.7273, relative_absolute_error: 0.6591, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.7727, scimark_benchmark: 936.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, build_cpu_time: 0.973, build_memory: 448993392, f_measure: 0.7491, kappa: 0.5658, kb_relative_information_score: 4.7296, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8182, predictive_accuracy: 0.7273, prior_entropy: 1.585, recall: 0.7273, relative_absolute_error: 0.675, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.7917, scimark_benchmark: 945.3978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, build_cpu_time: 0.754, build_memory: 510181944, f_measure: 0.7491, kappa: 0.5658, kb_relative_information_score: 4.6675, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8182, predictive_accuracy: 0.7273, prior_entropy: 1.585, recall: 0.7273, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.8005, scimark_benchmark: 945.8947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, build_cpu_time: 1.513, build_memory: 890937192, f_measure: 0.6636, kappa: 0.4359, kb_relative_information_score: 4.4957, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.7576, predictive_accuracy: 0.6364, prior_entropy: 1.585, recall: 0.6364, relative_absolute_error: 0.696, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.8162, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, build_cpu_time: 0.026, build_memory: 940700968, f_measure: 0.8333, kappa: 0.7027, kb_relative_information_score: 4.7274, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9394, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.6791, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.391, root_relative_squared_error: 0.8295, scimark_benchmark: 938.8806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, build_cpu_time: 0.01, build_memory: 1799724536, f_measure: 0.8065, kappa: 0.6812, kb_relative_information_score: 5.0122, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8766, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.6549, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.8041, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, build_cpu_time: 0.003, build_memory: 281654552, f_measure: 0.7491, kappa: 0.5658, kb_relative_information_score: 4.7067, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8182, predictive_accuracy: 0.7273, prior_entropy: 1.585, recall: 0.7273, relative_absolute_error: 0.6682, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.8161, scimark_benchmark: 947.4258,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs