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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: 0.9283, f_measure: 0.8532, kappa: 0.7756, kb_relative_information_score: 358.5515, 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: 1363.454, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, 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: 944.5495, usercpu_time_millis: 240, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, 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: 894.7222, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8395, kappa: 0.7685, kb_relative_information_score: 364.2668, mean_absolute_error: 0.1623, 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: 0.4275, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.252, root_relative_squared_error: 0.5786, scimark_benchmark: 939.449, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.8334, kappa: 0.7567, kb_relative_information_score: 433.5231, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8008, predictive_accuracy: 0.8688, prior_entropy: 1.3212, recall: 0.8688, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.679, scimark_benchmark: 1250.8301, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.8595, kappa: 0.8071, kb_relative_information_score: 459.3751, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8258, predictive_accuracy: 0.896, prior_entropy: 1.3212, recall: 0.896, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.6045, scimark_benchmark: 1250.8301, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.6967, kappa: 0.4926, kb_relative_information_score: 226.4828, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6695, predictive_accuracy: 0.7264, prior_entropy: 1.3212, recall: 0.7264, relative_absolute_error: 0.6559, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.7467, scimark_benchmark: 1250.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7118, kappa: 0.5204, kb_relative_information_score: 232.5059, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6852, predictive_accuracy: 0.7408, prior_entropy: 1.3212, recall: 0.7408, relative_absolute_error: 0.648, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.8138, scimark_benchmark: 1297.5331, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, 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: 1304.6687, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.8057, kappa: 0.6459, kb_relative_information_score: 363.5708, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8165, predictive_accuracy: 0.7952, prior_entropy: 1.3212, recall: 0.7952, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.8483, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.7453, kappa: 0.5835, kb_relative_information_score: 309.0908, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7184, predictive_accuracy: 0.7744, prior_entropy: 1.3212, recall: 0.7744, relative_absolute_error: 0.5117, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.7846, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.7742, kappa: 0.6354, kb_relative_information_score: 310.0191, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7489, predictive_accuracy: 0.8016, prior_entropy: 1.3212, recall: 0.8016, relative_absolute_error: 0.5006, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.7826, scimark_benchmark: 1355.7054, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7927, kappa: 0.6329, kb_relative_information_score: 359.0086, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.797, predictive_accuracy: 0.7904, prior_entropy: 1.3212, recall: 0.7904, relative_absolute_error: 0.3679, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.8582, scimark_benchmark: 1353.6735, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5099, f_measure: 0.3517, kappa: 0.014, kb_relative_information_score: -26.085, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.5088, predictive_accuracy: 0.3712, prior_entropy: 1.3212, recall: 0.3712, relative_absolute_error: 1.1038, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.6475, root_relative_squared_error: 1.4864, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.8154, kappa: 0.6817, kb_relative_information_score: 394.125, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8106, predictive_accuracy: 0.8208, prior_entropy: 1.3212, recall: 0.8208, relative_absolute_error: 0.3506, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.7099, scimark_benchmark: 1466.6185, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, 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: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9162, kappa: 0.8535, kb_relative_information_score: 516.756, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9158, predictive_accuracy: 0.9168, prior_entropy: 1.3212, recall: 0.9168, relative_absolute_error: 0.1492, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.5122, scimark_benchmark: 927.0753, usercpu_time_millis: 5930, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.7782, kappa: 0.6399, kb_relative_information_score: 371.1743, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7547, predictive_accuracy: 0.8032, prior_entropy: 1.3212, recall: 0.8032, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.8316, scimark_benchmark: 1028.5889, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, f_measure: 0.3939, kappa: -0.0059, kb_relative_information_score: 0.0472, mean_absolute_error: 0.3798, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.4196, predictive_accuracy: 0.4576, prior_entropy: 1.3212, recall: 0.4576, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4356, root_relative_squared_error: 1, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, 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: 1054.3694, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9054, kappa: 0.8546, kb_relative_information_score: 512.3564, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9077, predictive_accuracy: 0.92, prior_entropy: 1.3212, recall: 0.92, relative_absolute_error: 0.1435, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.4642, scimark_benchmark: 942.6953, usercpu_time_millis: 170, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9062, kappa: 0.8387, kb_relative_information_score: 513.3219, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9041, predictive_accuracy: 0.9088, prior_entropy: 1.3212, recall: 0.9088, relative_absolute_error: 0.1977, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.4424, scimark_benchmark: 922.9039, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9071, kappa: 0.8391, kb_relative_information_score: 511.1615, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9057, predictive_accuracy: 0.9088, prior_entropy: 1.3212, recall: 0.9088, relative_absolute_error: 0.202, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.4426, scimark_benchmark: 911.0478, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9071, kappa: 0.8391, kb_relative_information_score: 511.1615, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9057, predictive_accuracy: 0.9088, prior_entropy: 1.3212, recall: 0.9088, relative_absolute_error: 0.202, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.4426, scimark_benchmark: 945.6434, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, 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: 942.1229, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 938.4278,
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: 934.5243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 939.7623, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.6967, kappa: 0.4926, kb_relative_information_score: 262.6374, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6696, predictive_accuracy: 0.7264, prior_entropy: 1.3212, recall: 0.7264, relative_absolute_error: 0.5618, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.82, scimark_benchmark: 933.8635, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9616, kappa: 0.9371, kb_relative_information_score: 523.9066, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9634, predictive_accuracy: 0.9648, prior_entropy: 1.3212, recall: 0.9648, relative_absolute_error: 0.1824, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.3662, scimark_benchmark: 938.9865, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9212, kappa: 0.8861, kb_relative_information_score: 494.5868, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.933, predictive_accuracy: 0.9376, prior_entropy: 1.3212, recall: 0.9376, relative_absolute_error: 0.2242, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.41, scimark_benchmark: 902.4773, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.8968, kappa: 0.8615, kb_relative_information_score: 457.7687, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9069, predictive_accuracy: 0.9248, prior_entropy: 1.3212, recall: 0.9248, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4576, scimark_benchmark: 932.3943, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.838, kappa: 0.7656, kb_relative_information_score: 345.5404, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8051, predictive_accuracy: 0.8736, prior_entropy: 1.3212, recall: 0.8736, relative_absolute_error: 0.4484, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.263, root_relative_squared_error: 0.6039, scimark_benchmark: 938.9865, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, build_cpu_time: 0.0335, build_memory: 2002240635.3536, f_measure: 0.9053, kappa: 0.8384, kb_relative_information_score: 507.6936, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9025, predictive_accuracy: 0.9088, prior_entropy: 1.3212, recall: 0.9088, relative_absolute_error: 0.2085, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.4433, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, build_cpu_time: 0.0373, build_memory: 363804107.392, f_measure: 0.9071, kappa: 0.8391, kb_relative_information_score: 511.1615, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9057, predictive_accuracy: 0.9088, prior_entropy: 1.3212, recall: 0.9088, relative_absolute_error: 0.202, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.4426, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, build_cpu_time: 0.0361, build_memory: 698842840.4352, f_measure: 0.9071, kappa: 0.8391, kb_relative_information_score: 511.1615, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9057, predictive_accuracy: 0.9088, prior_entropy: 1.3212, recall: 0.9088, relative_absolute_error: 0.202, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.4426, scimark_benchmark: 929.5397,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7678, build_cpu_time: 3.2596, build_memory: 25429753.2032, 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: 929.5397,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, build_cpu_time: 154.4509, build_memory: 687097303.3472, f_measure: 0.961, kappa: 0.9303, kb_relative_information_score: 578.0823, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9629, predictive_accuracy: 0.96, prior_entropy: 1.3212, recall: 0.96, relative_absolute_error: 0.0692, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.3689, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, build_cpu_time: 82.9449, build_memory: 1211531438.0032, f_measure: 0.9499, kappa: 0.9106, kb_relative_information_score: 560.2893, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9515, predictive_accuracy: 0.9488, prior_entropy: 1.3212, recall: 0.9488, relative_absolute_error: 0.0905, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.4194, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, build_cpu_time: 40.5277, build_memory: 45976442.1248, f_measure: 0.9394, kappa: 0.8912, kb_relative_information_score: 542.8824, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9418, predictive_accuracy: 0.9376, prior_entropy: 1.3212, recall: 0.9376, relative_absolute_error: 0.1124, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.4653, scimark_benchmark: 942.0791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, build_cpu_time: 19.1543, build_memory: 544573430.4896, f_measure: 0.9344, kappa: 0.8847, kb_relative_information_score: 538.6662, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9344, predictive_accuracy: 0.9344, prior_entropy: 1.3212, recall: 0.9344, relative_absolute_error: 0.1137, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4638, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, build_cpu_time: 10.1579, build_memory: 1140086223.9872, f_measure: 0.9216, kappa: 0.8583, kb_relative_information_score: 524.2215, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9259, predictive_accuracy: 0.9184, prior_entropy: 1.3212, recall: 0.9184, relative_absolute_error: 0.1462, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.5082, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, build_cpu_time: 0.3221, build_memory: 195201850.112, f_measure: 0.8493, kappa: 0.7594, kb_relative_information_score: 428.5072, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8358, predictive_accuracy: 0.8672, prior_entropy: 1.3212, recall: 0.8672, relative_absolute_error: 0.3233, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.5561, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, build_cpu_time: 0.5808, build_memory: 1216918149.9264, f_measure: 0.8602, kappa: 0.7636, kb_relative_information_score: 445.4301, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8539, predictive_accuracy: 0.8672, prior_entropy: 1.3212, recall: 0.8672, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.5451, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, build_cpu_time: 0.9768, build_memory: 272574622.2336, f_measure: 0.8607, kappa: 0.7639, kb_relative_information_score: 447.7734, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8549, predictive_accuracy: 0.8672, prior_entropy: 1.3212, recall: 0.8672, relative_absolute_error: 0.2899, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.5435, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, build_cpu_time: 0.7688, build_memory: 52459774.592, f_measure: 0.8607, kappa: 0.7639, kb_relative_information_score: 447.7734, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8549, predictive_accuracy: 0.8672, prior_entropy: 1.3212, recall: 0.8672, relative_absolute_error: 0.2899, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.5435, scimark_benchmark: 938.1146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, build_cpu_time: 0.7166, build_memory: 1066513358.7456, f_measure: 0.8607, kappa: 0.7639, kb_relative_information_score: 447.7734, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8549, predictive_accuracy: 0.8672, prior_entropy: 1.3212, recall: 0.8672, relative_absolute_error: 0.2899, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.5435, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, build_cpu_time: 0.1953, build_memory: 2402253338.8288, f_measure: 0.8545, kappa: 0.7482, kb_relative_information_score: 434.2016, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8516, predictive_accuracy: 0.8576, prior_entropy: 1.3212, recall: 0.8576, relative_absolute_error: 0.2972, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.5886, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, build_cpu_time: 0.246, build_memory: 994134388.544, f_measure: 0.8545, kappa: 0.7482, kb_relative_information_score: 434.2016, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8516, predictive_accuracy: 0.8576, prior_entropy: 1.3212, recall: 0.8576, relative_absolute_error: 0.2972, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.5886, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, build_cpu_time: 0.2292, build_memory: 927153576.96, f_measure: 0.8545, kappa: 0.7482, kb_relative_information_score: 434.2016, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8516, predictive_accuracy: 0.8576, prior_entropy: 1.3212, recall: 0.8576, relative_absolute_error: 0.2972, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.5886, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, build_cpu_time: 0.1914, build_memory: 967489377.856, f_measure: 0.8545, kappa: 0.7482, kb_relative_information_score: 434.2016, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8516, predictive_accuracy: 0.8576, prior_entropy: 1.3212, recall: 0.8576, relative_absolute_error: 0.2972, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.5886, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, build_cpu_time: 0.2005, build_memory: 465145944.832, f_measure: 0.8452, kappa: 0.7335, kb_relative_information_score: 433.51, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8413, predictive_accuracy: 0.8496, prior_entropy: 1.3212, recall: 0.8496, relative_absolute_error: 0.2994, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2562, root_relative_squared_error: 0.5882, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, build_cpu_time: 0.0685, build_memory: 644640681.1008, f_measure: 0.7985, kappa: 0.6293, kb_relative_information_score: 357.1446, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.814, predictive_accuracy: 0.784, prior_entropy: 1.3212, recall: 0.784, relative_absolute_error: 0.378, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.8148, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, build_cpu_time: 0.1112, build_memory: 70944070.7712, f_measure: 0.7883, kappa: 0.6089, kb_relative_information_score: 344.4471, mean_absolute_error: 0.1521, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8065, predictive_accuracy: 0.7712, prior_entropy: 1.3212, recall: 0.7712, relative_absolute_error: 0.4004, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.8652, scimark_benchmark: 934.6076,

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