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File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
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Backtrace:

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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 balance-scale

Supervised Classification on balance-scale

Task 11 Supervised Classification balance-scale 24832 runs submitted
0 likes downloaded by 2 people , 6 total downloads 0 issues
Visibility: Public
  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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24832 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, build_cpu_time: 0.2776, build_memory: 980572917.6448, f_measure: 0.7825, kappa: 0.5965, kb_relative_information_score: 335.357, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.803, predictive_accuracy: 0.7632, prior_entropy: 1.3212, recall: 0.7632, relative_absolute_error: 0.4161, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.8972, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, build_cpu_time: 0.474, build_memory: 635878767.5136, f_measure: 0.774, kappa: 0.5811, kb_relative_information_score: 325.4525, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7961, predictive_accuracy: 0.7536, prior_entropy: 1.3212, recall: 0.7536, relative_absolute_error: 0.4325, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.9216, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, build_cpu_time: 1.0424, build_memory: 440802167.3728, f_measure: 0.7734, kappa: 0.5774, kb_relative_information_score: 322.6775, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7984, predictive_accuracy: 0.7504, prior_entropy: 1.3212, recall: 0.7504, relative_absolute_error: 0.4375, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.9315, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, build_cpu_time: 0.0352, build_memory: 79777743.04, f_measure: 0.8532, kappa: 0.7756, kb_relative_information_score: 358.5452, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8342, predictive_accuracy: 0.8768, prior_entropy: 1.3212, recall: 0.8768, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.6367, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, build_cpu_time: 0.0443, build_memory: 1017958365.1456, f_measure: 0.8532, kappa: 0.7756, kb_relative_information_score: 358.5452, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8342, predictive_accuracy: 0.8768, prior_entropy: 1.3212, recall: 0.8768, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.6367, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, build_cpu_time: 0.0056, build_memory: 55340133.9136, f_measure: 0.6918, kappa: 0.4837, kb_relative_information_score: 155.6026, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6657, predictive_accuracy: 0.7216, prior_entropy: 1.3212, recall: 0.7216, relative_absolute_error: 0.8184, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.8239, scimark_benchmark: 939.7233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, build_cpu_time: 0.0099, build_memory: 972875428.48, f_measure: 0.6918, kappa: 0.4837, kb_relative_information_score: 155.6026, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6657, predictive_accuracy: 0.7216, prior_entropy: 1.3212, recall: 0.7216, relative_absolute_error: 0.8184, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.8239, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, build_cpu_time: 1.793, build_memory: 920769887.7312, f_measure: 0.7858, kappa: 0.5982, kb_relative_information_score: 332.0846, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8097, predictive_accuracy: 0.7632, prior_entropy: 1.3212, recall: 0.7632, relative_absolute_error: 0.4187, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.8982, scimark_benchmark: 924.2934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, build_cpu_time: 0.9276, build_memory: 2551894035.8144, f_measure: 0.7912, kappa: 0.614, kb_relative_information_score: 346.8031, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8089, predictive_accuracy: 0.7744, prior_entropy: 1.3212, recall: 0.7744, relative_absolute_error: 0.3932, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.8607, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, build_cpu_time: 0.5578, build_memory: 1935742701.9648, f_measure: 0.7963, kappa: 0.6207, kb_relative_information_score: 348.9956, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8167, predictive_accuracy: 0.7776, prior_entropy: 1.3212, recall: 0.7776, relative_absolute_error: 0.3913, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.8366, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, build_cpu_time: 0.0108, build_memory: 202662090.0864, f_measure: 0.6845, kappa: 0.4688, kb_relative_information_score: 248.8813, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6584, predictive_accuracy: 0.7136, prior_entropy: 1.3212, recall: 0.7136, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.7331, scimark_benchmark: 945.8601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, build_cpu_time: 0.1301, build_memory: 639936985.8688, f_measure: 0.8235, kappa: 0.6784, kb_relative_information_score: 357.7287, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8328, predictive_accuracy: 0.8144, prior_entropy: 1.3212, recall: 0.8144, relative_absolute_error: 0.3864, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2855, root_relative_squared_error: 0.6554, scimark_benchmark: 844.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, build_cpu_time: 0.0417, build_memory: 456996730.88, f_measure: 0.7689, kappa: 0.632, kb_relative_information_score: 319.2449, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7398, predictive_accuracy: 0.8016, prior_entropy: 1.3212, recall: 0.8016, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.336, root_relative_squared_error: 0.7714, scimark_benchmark: 938.6628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, build_cpu_time: 0.0006, build_memory: 381360912.5248, f_measure: 0.8532, kappa: 0.7756, kb_relative_information_score: 358.5452, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8342, predictive_accuracy: 0.8768, prior_entropy: 1.3212, recall: 0.8768, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.6367, scimark_benchmark: 844.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, build_cpu_time: 0.1642, build_memory: 171844285.0176, f_measure: 0.8426, kappa: 0.7745, kb_relative_information_score: 211.534, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8095, predictive_accuracy: 0.8784, prior_entropy: 1.3212, recall: 0.8784, relative_absolute_error: 0.7022, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.7904, scimark_benchmark: 920.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, build_cpu_time: 0.0258, build_memory: 314438092.9408, f_measure: 0.8487, kappa: 0.7864, kb_relative_information_score: 214.0749, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8155, predictive_accuracy: 0.8848, prior_entropy: 1.3212, recall: 0.8848, relative_absolute_error: 0.6984, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.7856, scimark_benchmark: 935.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, build_cpu_time: 0.0275, build_memory: 520603663.1168, f_measure: 0.9015, kappa: 0.8207, kb_relative_information_score: 486.0961, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9096, predictive_accuracy: 0.896, prior_entropy: 1.3212, recall: 0.896, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.4801, scimark_benchmark: 941.5899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, build_cpu_time: 0.0006, build_memory: 480357680, f_measure: 0.8702, kappa: 0.8279, kb_relative_information_score: 294.9261, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8361, predictive_accuracy: 0.9072, prior_entropy: 1.3212, recall: 0.9072, relative_absolute_error: 0.5583, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.278, root_relative_squared_error: 0.6383, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, build_cpu_time: 0.0208, build_memory: 693059852.3392, f_measure: 0.8141, kappa: 0.7161, kb_relative_information_score: 327.688, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7849, predictive_accuracy: 0.8464, prior_entropy: 1.3212, recall: 0.8464, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.6403, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, build_cpu_time: 0.022, build_memory: 591837371.264, f_measure: 0.8141, kappa: 0.7161, kb_relative_information_score: 327.688, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7849, predictive_accuracy: 0.8464, prior_entropy: 1.3212, recall: 0.8464, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.6403, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, build_cpu_time: 0.008, build_memory: 166308369.088, f_measure: 0.6918, kappa: 0.4837, kb_relative_information_score: 155.6026, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6657, predictive_accuracy: 0.7216, prior_entropy: 1.3212, recall: 0.7216, relative_absolute_error: 0.8184, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.8239, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, build_cpu_time: 0.0006, build_memory: 537787161.344, f_measure: 0.5589, kappa: 0.2285, kb_relative_information_score: 162.8378, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.5381, predictive_accuracy: 0.584, prior_entropy: 1.3212, recall: 0.584, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.5266, root_relative_squared_error: 1.209, scimark_benchmark: 927.6633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, build_cpu_time: 0.0006, build_memory: 227166434.944, f_measure: 0.5589, kappa: 0.2285, kb_relative_information_score: 162.8378, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.5381, predictive_accuracy: 0.584, prior_entropy: 1.3212, recall: 0.584, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.5266, root_relative_squared_error: 1.209, scimark_benchmark: 893.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, build_cpu_time: 0.0065, build_memory: 812680201.472, f_measure: 0.7523, kappa: 0.5816, kb_relative_information_score: 311.6665, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7392, predictive_accuracy: 0.768, prior_entropy: 1.3212, recall: 0.768, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.8354, scimark_benchmark: 949.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, build_cpu_time: 0.0005, build_memory: 98062612.864, f_measure: 0.8318, kappa: 0.7537, kb_relative_information_score: 432.0024, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7992, predictive_accuracy: 0.8672, prior_entropy: 1.3212, recall: 0.8672, relative_absolute_error: 0.2331, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.6831, scimark_benchmark: 946.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, build_cpu_time: 0.0768, build_memory: 51177836.3136, f_measure: 0.6839, kappa: 0.4578, kb_relative_information_score: 300.2935, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6744, predictive_accuracy: 0.704, prior_entropy: 1.3212, recall: 0.704, relative_absolute_error: 0.5293, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.7179, scimark_benchmark: 942.9052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, build_cpu_time: 0.1876, build_memory: 461997691.4176, f_measure: 0.8338, kappa: 0.7567, kb_relative_information_score: 209.9104, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.803, predictive_accuracy: 0.8688, prior_entropy: 1.3212, recall: 0.8688, relative_absolute_error: 0.7046, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.7565, scimark_benchmark: 935.7354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, build_cpu_time: 0.376, build_memory: 885197988.1088, f_measure: 0.8367, kappa: 0.7626, kb_relative_information_score: 210.3037, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8048, predictive_accuracy: 0.872, prior_entropy: 1.3212, recall: 0.872, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.327, root_relative_squared_error: 0.7507, scimark_benchmark: 927.8402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, build_cpu_time: 0.9795, build_memory: 494806753.1648, f_measure: 0.8273, kappa: 0.7448, kb_relative_information_score: 209.9841, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7951, predictive_accuracy: 0.8624, prior_entropy: 1.3212, recall: 0.8624, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.75, scimark_benchmark: 935.7354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, build_cpu_time: 0.673, build_memory: 831317236.032, f_measure: 0.8273, kappa: 0.7448, kb_relative_information_score: 209.9841, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7951, predictive_accuracy: 0.8624, prior_entropy: 1.3212, recall: 0.8624, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.75, scimark_benchmark: 921.6213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, build_cpu_time: 1.2179, build_memory: 1342991383.8208, f_measure: 0.8319, kappa: 0.7537, kb_relative_information_score: 210.0204, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7994, predictive_accuracy: 0.8672, prior_entropy: 1.3212, recall: 0.8672, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.7497, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, build_cpu_time: 2.5547, build_memory: 2104734518.3744, f_measure: 0.8303, kappa: 0.7507, kb_relative_information_score: 210.1881, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7978, predictive_accuracy: 0.8656, prior_entropy: 1.3212, recall: 0.8656, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.7488, scimark_benchmark: 941.3563,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, build_cpu_time: 90.396, build_memory: 64830564.7872, f_measure: 0.9349, kappa: 0.8914, kb_relative_information_score: 496.3882, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9342, predictive_accuracy: 0.9392, prior_entropy: 1.3212, recall: 0.9392, relative_absolute_error: 0.2292, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.4251, scimark_benchmark: 897.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, build_cpu_time: 2.3177, build_memory: 2482235796.5696, f_measure: 0.8395, kappa: 0.7685, kb_relative_information_score: 334.7116, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8067, predictive_accuracy: 0.8752, prior_entropy: 1.3212, recall: 0.8752, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.5983, scimark_benchmark: 944.6055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, build_cpu_time: 4.3774, build_memory: 1063093950.1568, f_measure: 0.8502, kappa: 0.7893, kb_relative_information_score: 335.7666, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.817, predictive_accuracy: 0.8864, prior_entropy: 1.3212, recall: 0.8864, relative_absolute_error: 0.4502, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.5953, scimark_benchmark: 947.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, build_cpu_time: 0.5971, build_memory: 160409610.6112, f_measure: 0.8189, kappa: 0.7031, kb_relative_information_score: 347.0587, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8031, predictive_accuracy: 0.8352, prior_entropy: 1.3212, recall: 0.8352, relative_absolute_error: 0.4234, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.6251, scimark_benchmark: 931.2106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, build_cpu_time: 0.5527, build_memory: 178258390.5664, f_measure: 0.8189, kappa: 0.7031, kb_relative_information_score: 347.0587, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8031, predictive_accuracy: 0.8352, prior_entropy: 1.3212, recall: 0.8352, relative_absolute_error: 0.4234, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.6251, scimark_benchmark: 945.3663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, build_cpu_time: 0.5632, build_memory: 195140735.1936, f_measure: 0.8189, kappa: 0.7031, kb_relative_information_score: 347.0587, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8031, predictive_accuracy: 0.8352, prior_entropy: 1.3212, recall: 0.8352, relative_absolute_error: 0.4234, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.6251, scimark_benchmark: 938.8449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, build_cpu_time: 0.634, build_memory: 990741564.5696, f_measure: 0.8189, kappa: 0.7031, kb_relative_information_score: 347.0587, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8031, predictive_accuracy: 0.8352, prior_entropy: 1.3212, recall: 0.8352, relative_absolute_error: 0.4234, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.6251, scimark_benchmark: 944.8595,
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: 0.943, build_cpu_time: 0.3298, build_memory: 98595379.6864, f_measure: 0.8202, kappa: 0.7038, kb_relative_information_score: 346.5295, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8059, predictive_accuracy: 0.8352, prior_entropy: 1.3212, recall: 0.8352, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.6292, scimark_benchmark: 949.4639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, build_cpu_time: 0.2505, build_memory: 72273808.0384, f_measure: 0.8132, kappa: 0.6836, kb_relative_information_score: 346.065, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8043, predictive_accuracy: 0.8224, prior_entropy: 1.3212, recall: 0.8224, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.6384, scimark_benchmark: 932.5329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, build_cpu_time: 0.1266, build_memory: 37039208.0896, f_measure: 0.8177, kappa: 0.6961, kb_relative_information_score: 345.6933, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8055, predictive_accuracy: 0.8304, prior_entropy: 1.3212, recall: 0.8304, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.6427, scimark_benchmark: 935.8279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, build_cpu_time: 0.0748, build_memory: 80519023.9616, f_measure: 0.8177, kappa: 0.6961, kb_relative_information_score: 345.6933, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8055, predictive_accuracy: 0.8304, prior_entropy: 1.3212, recall: 0.8304, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.6427, scimark_benchmark: 933.6717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.8177, kappa: 0.6961, kb_relative_information_score: 345.6933, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8055, predictive_accuracy: 0.8304, prior_entropy: 1.3212, recall: 0.8304, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.6427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, build_cpu_time: 0.0085, build_memory: 41680272.6272, f_measure: 0.7523, kappa: 0.5816, kb_relative_information_score: 311.6665, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7392, predictive_accuracy: 0.768, prior_entropy: 1.3212, recall: 0.768, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.8354, scimark_benchmark: 945.6714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, build_cpu_time: 0.0228, build_memory: 21866763.0592, f_measure: 0.7523, kappa: 0.5816, kb_relative_information_score: 311.6665, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7392, predictive_accuracy: 0.768, prior_entropy: 1.3212, recall: 0.768, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.8354, scimark_benchmark: 947.1564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, build_cpu_time: 0.0047, build_memory: 24352222.2976, f_measure: 0.7523, kappa: 0.5816, kb_relative_information_score: 311.6665, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7392, predictive_accuracy: 0.768, prior_entropy: 1.3212, recall: 0.768, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.8354, scimark_benchmark: 938.6537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, build_cpu_time: 0.0043, build_memory: 37403581.888, f_measure: 0.7523, kappa: 0.5816, kb_relative_information_score: 311.6665, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7392, predictive_accuracy: 0.768, prior_entropy: 1.3212, recall: 0.768, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.8354, scimark_benchmark: 932.2708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.8177, kappa: 0.6961, kb_relative_information_score: 345.6933, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8055, predictive_accuracy: 0.8304, prior_entropy: 1.3212, recall: 0.8304, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.6427, scimark_benchmark: 941.7691,
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: 0.8492, f_measure: 0.7762, kappa: 0.5805, kb_relative_information_score: 321.3261, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8021, predictive_accuracy: 0.752, prior_entropy: 1.3212, recall: 0.752, relative_absolute_error: 0.4378, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.403, root_relative_squared_error: 0.9253, scimark_benchmark: 945.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.7613, kappa: 0.6135, kb_relative_information_score: 305.8682, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7344, predictive_accuracy: 0.7904, prior_entropy: 1.3212, recall: 0.7904, relative_absolute_error: 0.4995, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.312, root_relative_squared_error: 0.7162, scimark_benchmark: 898.2221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.824, kappa: 0.6908, kb_relative_information_score: 384.5811, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.824, predictive_accuracy: 0.824, prior_entropy: 1.3212, recall: 0.824, relative_absolute_error: 0.3502, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.6574, scimark_benchmark: 898.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.7961, kappa: 0.6222, kb_relative_information_score: 349.6968, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8139, predictive_accuracy: 0.7792, prior_entropy: 1.3212, recall: 0.7792, relative_absolute_error: 0.3876, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.8808, scimark_benchmark: 595.9514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.6918, kappa: 0.4837, kb_relative_information_score: 155.6026, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6657, predictive_accuracy: 0.7216, prior_entropy: 1.3212, recall: 0.7216, relative_absolute_error: 0.8184, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.8239, scimark_benchmark: 598.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.7963, kappa: 0.6207, kb_relative_information_score: 348.9956, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8167, predictive_accuracy: 0.7776, prior_entropy: 1.3212, recall: 0.7776, relative_absolute_error: 0.3913, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.8366, scimark_benchmark: 944.0979,
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: 0.9806, f_measure: 0.9454, kappa: 0.9043, kb_relative_information_score: 554.9832, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9453, predictive_accuracy: 0.9456, prior_entropy: 1.3212, recall: 0.9456, relative_absolute_error: 0.0917, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.4176, scimark_benchmark: 596.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.8508, kappa: 0.7841, kb_relative_information_score: 455.3938, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8426, predictive_accuracy: 0.8832, prior_entropy: 1.3212, recall: 0.8832, relative_absolute_error: 0.2805, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.5335, scimark_benchmark: 595.9276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7678, f_measure: 0.6138, kappa: 0.3323, kb_relative_information_score: 126.0677, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.5902, predictive_accuracy: 0.64, prior_entropy: 1.3212, recall: 0.64, relative_absolute_error: 0.8546, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.8964, scimark_benchmark: 946.8258,

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