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

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

OpenML
OpenML
Supervised Classification on analcatdata_vineyard

Supervised Classification on analcatdata_vineyard

Task 3590 Supervised Classification analcatdata_vineyard 562 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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562 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, build_cpu_time: 0.015, build_memory: 855442594.7863, f_measure: 0.8441, kappa: 0.6846, kb_relative_information_score: 317.493, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8443, predictive_accuracy: 0.844, prior_entropy: 0.9912, recall: 0.844, relative_absolute_error: 0.3201, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7738, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, build_cpu_time: 0.0248, build_memory: 301490271.7094, f_measure: 0.842, kappa: 0.6804, kb_relative_information_score: 318.713, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8423, predictive_accuracy: 0.8419, prior_entropy: 0.9912, recall: 0.8419, relative_absolute_error: 0.3169, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.7821, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, build_cpu_time: 0.0376, build_memory: 191987250.547, f_measure: 0.842, kappa: 0.6804, kb_relative_information_score: 318.4764, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8423, predictive_accuracy: 0.8419, prior_entropy: 0.9912, recall: 0.8419, relative_absolute_error: 0.3176, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7847, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, build_cpu_time: 0.0459, build_memory: 297031604.3419, f_measure: 0.842, kappa: 0.6804, kb_relative_information_score: 318.4766, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8423, predictive_accuracy: 0.8419, prior_entropy: 0.9912, recall: 0.8419, relative_absolute_error: 0.3176, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7847, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, build_cpu_time: 0.0597, build_memory: 662044116.0342, f_measure: 0.842, kappa: 0.6804, kb_relative_information_score: 318.4766, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8423, predictive_accuracy: 0.8419, prior_entropy: 0.9912, recall: 0.8419, relative_absolute_error: 0.3176, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7847, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, build_cpu_time: 0.021, build_memory: 2796215400.9402, f_measure: 0.8462, kappa: 0.6885, kb_relative_information_score: 320.3135, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8462, predictive_accuracy: 0.8462, prior_entropy: 0.9912, recall: 0.8462, relative_absolute_error: 0.3147, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3872, root_relative_squared_error: 0.7793, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, build_cpu_time: 0.0136, build_memory: 141368583.5043, f_measure: 0.8462, kappa: 0.6885, kb_relative_information_score: 320.3135, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8462, predictive_accuracy: 0.8462, prior_entropy: 0.9912, recall: 0.8462, relative_absolute_error: 0.3147, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3872, root_relative_squared_error: 0.7793, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, build_cpu_time: 0.0123, build_memory: 812889951.3846, f_measure: 0.8462, kappa: 0.6885, kb_relative_information_score: 320.3135, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8462, predictive_accuracy: 0.8462, prior_entropy: 0.9912, recall: 0.8462, relative_absolute_error: 0.3147, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3872, root_relative_squared_error: 0.7793, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, build_cpu_time: 0.0904, build_memory: 606870169.0427, f_measure: 0.8207, kappa: 0.6372, kb_relative_information_score: 217.0015, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.821, predictive_accuracy: 0.8205, prior_entropy: 0.9912, recall: 0.8205, relative_absolute_error: 0.562, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7343, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, build_cpu_time: 2.8585, build_memory: 855567260.2051, f_measure: 0.8527, kappa: 0.7022, kb_relative_information_score: 327.4754, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8531, predictive_accuracy: 0.8526, prior_entropy: 0.9912, recall: 0.8526, relative_absolute_error: 0.2986, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.384, root_relative_squared_error: 0.7727, scimark_benchmark: 938.5926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, build_cpu_time: 1.5118, build_memory: 1004639548.2393, f_measure: 0.8485, kappa: 0.6935, kb_relative_information_score: 324.9912, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8488, predictive_accuracy: 0.8483, prior_entropy: 0.9912, recall: 0.8483, relative_absolute_error: 0.3036, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.7736, scimark_benchmark: 947.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, build_cpu_time: 0.8578, build_memory: 187682142.7009, f_measure: 0.8486, kappa: 0.6941, kb_relative_information_score: 322.511, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8495, predictive_accuracy: 0.8483, prior_entropy: 0.9912, recall: 0.8483, relative_absolute_error: 0.3093, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3863, root_relative_squared_error: 0.7775, scimark_benchmark: 940.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, build_cpu_time: 0.4048, build_memory: 1439496461.094, f_measure: 0.8694, kappa: 0.7352, kb_relative_information_score: 337.9368, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8696, predictive_accuracy: 0.8697, prior_entropy: 0.9912, recall: 0.8697, relative_absolute_error: 0.2783, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.71, scimark_benchmark: 906.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, build_cpu_time: 0.0905, build_memory: 650748210.4615, f_measure: 0.8486, kappa: 0.6947, kb_relative_information_score: 304.7977, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8503, predictive_accuracy: 0.8483, prior_entropy: 0.9912, recall: 0.8483, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.6469, scimark_benchmark: 913.4921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, build_cpu_time: 0.0012, build_memory: 587815666.4103, f_measure: 0.7719, kappa: 0.5399, kb_relative_information_score: 208.9213, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7736, predictive_accuracy: 0.7714, prior_entropy: 0.9912, recall: 0.7714, relative_absolute_error: 0.5669, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.7731, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, build_cpu_time: 0.0443, build_memory: 757997566.5128, f_measure: 0.8547, kappa: 0.7058, kb_relative_information_score: 321.2188, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8547, predictive_accuracy: 0.8547, prior_entropy: 0.9912, recall: 0.8547, relative_absolute_error: 0.3155, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6545, scimark_benchmark: 928.1083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, build_cpu_time: 0.021, build_memory: 884927860.3761, f_measure: 0.8563, kappa: 0.7083, kb_relative_information_score: 292.0163, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8571, predictive_accuracy: 0.8568, prior_entropy: 0.9912, recall: 0.8568, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.353, root_relative_squared_error: 0.7104, scimark_benchmark: 844.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, build_cpu_time: 0.0002, build_memory: 1429101770.3077, f_measure: 0.8462, kappa: 0.6885, kb_relative_information_score: 320.3135, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8462, predictive_accuracy: 0.8462, prior_entropy: 0.9912, recall: 0.8462, relative_absolute_error: 0.3147, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3872, root_relative_squared_error: 0.7793, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6163, build_cpu_time: 0.0503, build_memory: 438921347.2991, f_measure: 0.595, kappa: 0.2516, kb_relative_information_score: 142.2392, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7719, predictive_accuracy: 0.6581, prior_entropy: 0.9912, recall: 0.6581, relative_absolute_error: 0.6923, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5847, root_relative_squared_error: 1.1767, scimark_benchmark: 936.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, build_cpu_time: 0.0232, build_memory: 858816404.7521, f_measure: 0.7417, kappa: 0.4777, kb_relative_information_score: 221.6347, mean_absolute_error: 0.2585, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7422, predictive_accuracy: 0.7415, prior_entropy: 0.9912, recall: 0.7415, relative_absolute_error: 0.5235, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5085, root_relative_squared_error: 1.0233, scimark_benchmark: 942.9216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, build_cpu_time: 0.0488, build_memory: 43528299.4701, f_measure: 0.7459, kappa: 0.4858, kb_relative_information_score: 225.7062, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7461, predictive_accuracy: 0.7457, prior_entropy: 0.9912, recall: 0.7457, relative_absolute_error: 0.5149, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5043, root_relative_squared_error: 1.0148, scimark_benchmark: 937.4673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, build_cpu_time: 0.0169, build_memory: 363036206.0171, f_measure: 0.7378, kappa: 0.4711, kb_relative_information_score: 171.1572, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7395, predictive_accuracy: 0.7372, prior_entropy: 0.9912, recall: 0.7372, relative_absolute_error: 0.6485, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8153, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, build_cpu_time: 0.0004, build_memory: 473823344, f_measure: 0.8141, kappa: 0.6234, kb_relative_information_score: 195.3779, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.814, predictive_accuracy: 0.8141, prior_entropy: 0.9912, recall: 0.8141, relative_absolute_error: 0.6102, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.758, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, build_cpu_time: 0.006, build_memory: 257838960.8376, f_measure: 0.8593, kappa: 0.7163, kb_relative_information_score: 286.3776, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8612, predictive_accuracy: 0.859, prior_entropy: 0.9912, recall: 0.859, relative_absolute_error: 0.411, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.6463, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, build_cpu_time: 0.0135, build_memory: 30478077.0427, f_measure: 0.7228, kappa: 0.4681, kb_relative_information_score: 112.0862, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7712, predictive_accuracy: 0.7265, prior_entropy: 0.9912, recall: 0.7265, relative_absolute_error: 0.7865, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.8465, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, build_cpu_time: 0.0076, build_memory: 185023750, f_measure: 0.7228, kappa: 0.4681, kb_relative_information_score: 112.0862, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7712, predictive_accuracy: 0.7265, prior_entropy: 0.9912, recall: 0.7265, relative_absolute_error: 0.7865, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.8465, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, build_cpu_time: 0.0004, build_memory: 368059175.5043, f_measure: 0.7459, kappa: 0.4858, kb_relative_information_score: 225.7062, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7461, predictive_accuracy: 0.7457, prior_entropy: 0.9912, recall: 0.7457, relative_absolute_error: 0.5149, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5043, root_relative_squared_error: 1.0148, scimark_benchmark: 943.9113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, build_cpu_time: 0.0007, build_memory: 139453360, f_measure: 0.7459, kappa: 0.4858, kb_relative_information_score: 225.7062, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7461, predictive_accuracy: 0.7457, prior_entropy: 0.9912, recall: 0.7457, relative_absolute_error: 0.5149, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5043, root_relative_squared_error: 1.0148, scimark_benchmark: 946.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, build_cpu_time: 0.0017, build_memory: 179154144, f_measure: 0.8378, kappa: 0.6721, kb_relative_information_score: 286.3723, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8383, predictive_accuracy: 0.8376, prior_entropy: 0.9912, recall: 0.8376, relative_absolute_error: 0.3987, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.7308, scimark_benchmark: 940.3415,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, build_cpu_time: 0.0017, build_memory: 181479355.2821, f_measure: 0.8378, kappa: 0.6721, kb_relative_information_score: 286.3723, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8383, predictive_accuracy: 0.8376, prior_entropy: 0.9912, recall: 0.8376, relative_absolute_error: 0.3987, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.7308, scimark_benchmark: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, build_cpu_time: 0.0017, build_memory: 325247185.6923, f_measure: 0.8378, kappa: 0.6721, kb_relative_information_score: 286.3723, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8383, predictive_accuracy: 0.8376, prior_entropy: 0.9912, recall: 0.8376, relative_absolute_error: 0.3987, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.7308, scimark_benchmark: 946.9694,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, build_cpu_time: 101.2523, build_memory: 3755770154.1368, f_measure: 0.8611, kappa: 0.7186, kb_relative_information_score: 307.3366, mean_absolute_error: 0.1758, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8611, predictive_accuracy: 0.8611, prior_entropy: 0.9912, recall: 0.8611, relative_absolute_error: 0.3559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3097, root_relative_squared_error: 0.6233, scimark_benchmark: 943.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, build_cpu_time: 0.0242, build_memory: 122705295.7778, f_measure: 0.807, kappa: 0.6083, kb_relative_information_score: 181.4031, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8074, predictive_accuracy: 0.8077, prior_entropy: 0.9912, recall: 0.8077, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.7641, scimark_benchmark: 946.5361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, build_cpu_time: 0.0151, build_memory: 2084752920.906, f_measure: 0.8113, kappa: 0.617, kb_relative_information_score: 181.7978, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8117, predictive_accuracy: 0.812, prior_entropy: 0.9912, recall: 0.812, relative_absolute_error: 0.6361, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7631, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, build_cpu_time: 0.0074, build_memory: 50577557.6581, f_measure: 0.811, kappa: 0.6163, kb_relative_information_score: 182.0856, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.812, predictive_accuracy: 0.812, prior_entropy: 0.9912, recall: 0.812, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3794, root_relative_squared_error: 0.7635, scimark_benchmark: 929.2431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, build_cpu_time: 0.6688, build_memory: 60028420.5299, f_measure: 0.755, kappa: 0.5069, kb_relative_information_score: 209.021, mean_absolute_error: 0.2758, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7582, predictive_accuracy: 0.7543, prior_entropy: 0.9912, recall: 0.7543, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.443, root_relative_squared_error: 0.8915, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, build_cpu_time: 0.0042, build_memory: 1444246978.9573, f_measure: 0.8223, kappa: 0.6397, kb_relative_information_score: 181.3742, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8223, predictive_accuracy: 0.8227, prior_entropy: 0.9912, recall: 0.8227, relative_absolute_error: 0.6362, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7665, scimark_benchmark: 941.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, build_cpu_time: 0.0026, build_memory: 1526705516.5128, f_measure: 0.8442, kappa: 0.6852, kb_relative_information_score: 177.5229, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8448, predictive_accuracy: 0.844, prior_entropy: 0.9912, recall: 0.844, relative_absolute_error: 0.6434, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7738, scimark_benchmark: 940.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, build_cpu_time: 2.396, build_memory: 117854540.5812, f_measure: 0.8465, kappa: 0.6902, kb_relative_information_score: 292.4164, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8479, predictive_accuracy: 0.8462, prior_entropy: 0.9912, recall: 0.8462, relative_absolute_error: 0.3885, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.6563, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, build_cpu_time: 1.6364, build_memory: 245253111.7607, f_measure: 0.8465, kappa: 0.6902, kb_relative_information_score: 292.4164, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8479, predictive_accuracy: 0.8462, prior_entropy: 0.9912, recall: 0.8462, relative_absolute_error: 0.3885, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.6563, scimark_benchmark: 1216.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, build_cpu_time: 3.4926, build_memory: 506262433.6923, f_measure: 0.8422, kappa: 0.6816, kb_relative_information_score: 292.4413, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8437, predictive_accuracy: 0.8419, prior_entropy: 0.9912, recall: 0.8419, relative_absolute_error: 0.3872, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6581, scimark_benchmark: 824.2652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, build_cpu_time: 5.293, build_memory: 1158439428.9402, f_measure: 0.838, kappa: 0.6734, kb_relative_information_score: 293.3976, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8399, predictive_accuracy: 0.8376, prior_entropy: 0.9912, recall: 0.8376, relative_absolute_error: 0.3852, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.6492, scimark_benchmark: 946.2633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, build_cpu_time: 20.8311, build_memory: 1217746235.2992, f_measure: 0.8401, kappa: 0.6775, kb_relative_information_score: 295.2112, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8418, predictive_accuracy: 0.8397, prior_entropy: 0.9912, recall: 0.8397, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.6432, scimark_benchmark: 942.6202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, build_cpu_time: 0.8169, build_memory: 230921052.8889, f_measure: 0.8549, kappa: 0.7069, kb_relative_information_score: 333.7026, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8557, predictive_accuracy: 0.8547, prior_entropy: 0.9912, recall: 0.8547, relative_absolute_error: 0.2848, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7318, scimark_benchmark: 890.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, build_cpu_time: 0.4323, build_memory: 923293265.3504, f_measure: 0.8676, kappa: 0.732, kb_relative_information_score: 340.1166, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8677, predictive_accuracy: 0.8675, prior_entropy: 0.9912, recall: 0.8675, relative_absolute_error: 0.2736, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.344, root_relative_squared_error: 0.6922, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, build_cpu_time: 0.3856, build_memory: 1005533764.2222, f_measure: 0.8676, kappa: 0.732, kb_relative_information_score: 340.1166, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8677, predictive_accuracy: 0.8675, prior_entropy: 0.9912, recall: 0.8675, relative_absolute_error: 0.2736, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.344, root_relative_squared_error: 0.6922, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, build_cpu_time: 0.2141, build_memory: 1651115847.4872, f_measure: 0.857, kappa: 0.7111, kb_relative_information_score: 328.5278, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8576, predictive_accuracy: 0.8568, prior_entropy: 0.9912, recall: 0.8568, relative_absolute_error: 0.2974, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7202, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, build_cpu_time: 0.2164, build_memory: 149221009.4872, f_measure: 0.857, kappa: 0.7111, kb_relative_information_score: 328.5278, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8576, predictive_accuracy: 0.8568, prior_entropy: 0.9912, recall: 0.8568, relative_absolute_error: 0.2974, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7202, scimark_benchmark: 944.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, build_cpu_time: 0.1535, build_memory: 854726927.4017, f_measure: 0.8442, kappa: 0.6852, kb_relative_information_score: 316.7466, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8448, predictive_accuracy: 0.844, prior_entropy: 0.9912, recall: 0.844, relative_absolute_error: 0.323, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.7357, scimark_benchmark: 942.6202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, build_cpu_time: 1.4918, build_memory: 1873425615.2992, f_measure: 0.8545, kappa: 0.7049, kb_relative_information_score: 292.2715, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8545, predictive_accuracy: 0.8547, prior_entropy: 0.9912, recall: 0.8547, relative_absolute_error: 0.3984, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.6365, scimark_benchmark: 908.7709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, build_cpu_time: 2.7401, build_memory: 834639665.8291, f_measure: 0.8566, kappa: 0.7091, kb_relative_information_score: 292.2972, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8567, predictive_accuracy: 0.8568, prior_entropy: 0.9912, recall: 0.8568, relative_absolute_error: 0.3982, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.6371, scimark_benchmark: 946.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, build_cpu_time: 0.1387, build_memory: 1503616084.2222, f_measure: 0.8422, kappa: 0.6816, kb_relative_information_score: 301.4765, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8437, predictive_accuracy: 0.8419, prior_entropy: 0.9912, recall: 0.8419, relative_absolute_error: 0.3642, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.6565, scimark_benchmark: 932.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, build_cpu_time: 0.1893, build_memory: 48316058.735, f_measure: 0.8422, kappa: 0.6816, kb_relative_information_score: 301.4765, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8437, predictive_accuracy: 0.8419, prior_entropy: 0.9912, recall: 0.8419, relative_absolute_error: 0.3642, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.6565, scimark_benchmark: 937.222,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, build_cpu_time: 0.1391, build_memory: 70969257.5727, f_measure: 0.8422, kappa: 0.6816, kb_relative_information_score: 301.4765, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8437, predictive_accuracy: 0.8419, prior_entropy: 0.9912, recall: 0.8419, relative_absolute_error: 0.3642, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.6565, scimark_benchmark: 942.6187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, build_cpu_time: 0.0731, build_memory: 170192619.5897, f_measure: 0.8379, kappa: 0.6727, kb_relative_information_score: 299.8764, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.839, predictive_accuracy: 0.8376, prior_entropy: 0.9912, recall: 0.8376, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.6618, scimark_benchmark: 946.0418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, build_cpu_time: 0.0366, build_memory: 1071192116.4786, f_measure: 0.8379, kappa: 0.6727, kb_relative_information_score: 298.7539, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.839, predictive_accuracy: 0.8376, prior_entropy: 0.9912, recall: 0.8376, relative_absolute_error: 0.3697, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.6678, scimark_benchmark: 894.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.8379, kappa: 0.6727, kb_relative_information_score: 298.7539, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.839, predictive_accuracy: 0.8376, prior_entropy: 0.9912, recall: 0.8376, relative_absolute_error: 0.3697, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.6678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, build_cpu_time: 0.0272, build_memory: 196239231.9316, f_measure: 0.8379, kappa: 0.6727, kb_relative_information_score: 298.2636, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.839, predictive_accuracy: 0.8376, prior_entropy: 0.9912, recall: 0.8376, relative_absolute_error: 0.3705, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.6749, scimark_benchmark: 947.2354,

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