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OpenML
Task
Supervised Classification on mfeat-zernike

Supervised Classification on mfeat-zernike

Task 22 Supervised Classification mfeat-zernike 20290 runs submitted
0 likes downloaded by 2 people , 2 total downloads 0 issues
Visibility: Public
  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_98 study_99 under100k under1m
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Metric:

20290 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.7914, kappa: 0.7722, kb_relative_information_score: 1689.9458, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7895, predictive_accuracy: 0.795, prior_entropy: 3.3219, recall: 0.795, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.5359, scimark_benchmark: 889.3151, usercpu_time_millis: 2670, usercpu_time_millis_testing: 2670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.7509, kappa: 0.7256, kb_relative_information_score: 553.9404, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7539, predictive_accuracy: 0.753, prior_entropy: 3.3219, recall: 0.753, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.9189, scimark_benchmark: 1318.5526, usercpu_time_millis: 11810, usercpu_time_millis_testing: 9120, usercpu_time_millis_training: 2690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.8215, kappa: 0.8056, kb_relative_information_score: 574.1565, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8188, predictive_accuracy: 0.825, prior_entropy: 3.3219, recall: 0.825, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.274, root_relative_squared_error: 0.9134, scimark_benchmark: 1369.9744, usercpu_time_millis: 410, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8218, kappa: 0.805, kb_relative_information_score: 1698.8451, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8194, predictive_accuracy: 0.8245, prior_entropy: 3.3219, recall: 0.8245, relative_absolute_error: 0.2389, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.4764, scimark_benchmark: 912.5006, usercpu_time_millis: 4560, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.7483, kappa: 0.7078, kb_relative_information_score: 1449.9316, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.766, predictive_accuracy: 0.737, prior_entropy: 3.3219, recall: 0.737, relative_absolute_error: 0.2922, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.7645, scimark_benchmark: 1250.8301, usercpu_time_millis: 1560, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.658, kappa: 0.6172, kb_relative_information_score: 1302.1712, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6621, predictive_accuracy: 0.6555, prior_entropy: 3.3219, recall: 0.6555, relative_absolute_error: 0.4158, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.7579, scimark_benchmark: 1368.9272, usercpu_time_millis: 73640, usercpu_time_millis_testing: 1090, usercpu_time_millis_training: 72550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.7695, kappa: 0.7467, kb_relative_information_score: 1416.2709, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7678, predictive_accuracy: 0.772, prior_entropy: 3.3219, recall: 0.772, relative_absolute_error: 0.4357, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.188, root_relative_squared_error: 0.6266, scimark_benchmark: 1073.494, usercpu_time_millis: 2310, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 2070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.6295, kappa: 0.5811, kb_relative_information_score: 1211.4989, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.637, predictive_accuracy: 0.623, prior_entropy: 3.3219, recall: 0.623, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.9153, scimark_benchmark: 825.5282, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.6884, kappa: 0.6622, kb_relative_information_score: 1398.6726, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6856, predictive_accuracy: 0.696, prior_entropy: 3.3219, recall: 0.696, relative_absolute_error: 0.4011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.6904, scimark_benchmark: 1319.6463, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.667, kappa: 0.6378, kb_relative_information_score: 1343.0187, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6662, predictive_accuracy: 0.674, prior_entropy: 3.3219, recall: 0.674, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.215, root_relative_squared_error: 0.7166, scimark_benchmark: 1291.6995, usercpu_time_millis: 2020, usercpu_time_millis_training: 2020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.6887, kappa: 0.6644, kb_relative_information_score: 1368.3625, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6891, predictive_accuracy: 0.698, prior_entropy: 3.3219, recall: 0.698, relative_absolute_error: 0.3356, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.8192, scimark_benchmark: 1325.2092, usercpu_time_millis: 3110, usercpu_time_millis_testing: 1810, usercpu_time_millis_training: 1300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.0301, kappa: 0.0067, kb_relative_information_score: 130.1856, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5101, predictive_accuracy: 0.106, prior_entropy: 3.3219, recall: 0.106, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4228, root_relative_squared_error: 1.4095, scimark_benchmark: 1384.4418, usercpu_time_millis: 2000, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 1560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.7206, kappa: 0.6889, kb_relative_information_score: 1494.2838, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.722, predictive_accuracy: 0.72, prior_entropy: 3.3219, recall: 0.72, relative_absolute_error: 0.3119, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.6997, scimark_benchmark: 1465.2979, usercpu_time_millis: 790, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5939, f_measure: 0.2595, kappa: 0.1878, kb_relative_information_score: 471.1025, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.2627, predictive_accuracy: 0.269, prior_entropy: 3.3219, recall: 0.269, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3824, root_relative_squared_error: 1.2745, scimark_benchmark: 1465.2979, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.8026, kappa: 0.7817, kb_relative_information_score: 1604.7871, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8022, predictive_accuracy: 0.8035, prior_entropy: 3.3219, recall: 0.8035, relative_absolute_error: 0.2317, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.6112, scimark_benchmark: 938.2848, usercpu_time_millis: 385070, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 384600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7021, kappa: 0.6672, kb_relative_information_score: 1373.5913, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.707, predictive_accuracy: 0.7005, prior_entropy: 3.3219, recall: 0.7005, relative_absolute_error: 0.3328, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.8158, scimark_benchmark: 977.6382, usercpu_time_millis: 35580, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 35570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.7057, kappa: 0.6761, kb_relative_information_score: 1457.946, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7052, predictive_accuracy: 0.7085, prior_entropy: 3.3219, recall: 0.7085, relative_absolute_error: 0.3319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.7215, scimark_benchmark: 1054.3694, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.7369, kappa: 0.7089, kb_relative_information_score: 1006.3853, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.737, predictive_accuracy: 0.738, prior_entropy: 3.3219, recall: 0.738, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.7721, scimark_benchmark: 911.3823, usercpu_time_millis: 3290, usercpu_time_millis_testing: 980, usercpu_time_millis_training: 2310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.733, kappa: 0.7044, kb_relative_information_score: 893.1432, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.733, predictive_accuracy: 0.734, prior_entropy: 3.3219, recall: 0.734, relative_absolute_error: 0.761, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.7895, scimark_benchmark: 942.6953, usercpu_time_millis: 3260, usercpu_time_millis_testing: 970, usercpu_time_millis_training: 2290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.733, kappa: 0.7044, kb_relative_information_score: 893.1432, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.733, predictive_accuracy: 0.734, prior_entropy: 3.3219, recall: 0.734, relative_absolute_error: 0.761, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.7895, scimark_benchmark: 939.7623, usercpu_time_millis: 3260, usercpu_time_millis_testing: 990, usercpu_time_millis_training: 2270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.733, kappa: 0.7044, kb_relative_information_score: 893.1432, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.733, predictive_accuracy: 0.734, prior_entropy: 3.3219, recall: 0.734, relative_absolute_error: 0.761, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.7895, scimark_benchmark: 945.6434, usercpu_time_millis: 3230, usercpu_time_millis_testing: 970, usercpu_time_millis_training: 2260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, f_measure: 0.0653, kappa: 0.1067, kb_relative_information_score: 374.2919, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0392, predictive_accuracy: 0.196, prior_entropy: 3.3219, recall: 0.196, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.9698, scimark_benchmark: 942.1229, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, f_measure: 0.0653, kappa: 0.1067, kb_relative_information_score: 374.2919, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0392, predictive_accuracy: 0.196, prior_entropy: 3.3219, recall: 0.196, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.9698, scimark_benchmark: 926.6717, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, f_measure: 0.0653, kappa: 0.1067, kb_relative_information_score: 374.2919, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0392, predictive_accuracy: 0.196, prior_entropy: 3.3219, recall: 0.196, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.9698, scimark_benchmark: 876.8277, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, f_measure: 0.0653, kappa: 0.1067, kb_relative_information_score: 374.2919, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0392, predictive_accuracy: 0.196, prior_entropy: 3.3219, recall: 0.196, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.9698, scimark_benchmark: 939.7623, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, f_measure: 0.0653, kappa: 0.1067, kb_relative_information_score: 374.2919, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0392, predictive_accuracy: 0.196, prior_entropy: 3.3219, recall: 0.196, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.9698, scimark_benchmark: 933.8635, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.7845, kappa: 0.7578, kb_relative_information_score: 1595.624, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7874, predictive_accuracy: 0.782, prior_entropy: 3.3219, recall: 0.782, relative_absolute_error: 0.2408, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.6174, scimark_benchmark: 934.5243, usercpu_time_millis: 37820, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 37810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.7806, kappa: 0.7539, kb_relative_information_score: 1610.2845, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7828, predictive_accuracy: 0.7785, prior_entropy: 3.3219, recall: 0.7785, relative_absolute_error: 0.2473, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.5908, scimark_benchmark: 938.2848, usercpu_time_millis: 18650, usercpu_time_millis_training: 18650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.78, kappa: 0.7544, kb_relative_information_score: 1615.7236, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7812, predictive_accuracy: 0.779, prior_entropy: 3.3219, recall: 0.779, relative_absolute_error: 0.2625, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.5669, scimark_benchmark: 932.3943, usercpu_time_millis: 8770, usercpu_time_millis_training: 8770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.7694, kappa: 0.745, kb_relative_information_score: 1581.8584, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7685, predictive_accuracy: 0.7705, prior_entropy: 3.3219, recall: 0.7705, relative_absolute_error: 0.2984, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.5661, scimark_benchmark: 933.8635, usercpu_time_millis: 5930, usercpu_time_millis_training: 5930,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, build_cpu_time: 1.8402, build_memory: 823908569.6, f_measure: 0.733, kappa: 0.7044, kb_relative_information_score: 893.1432, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.733, predictive_accuracy: 0.734, prior_entropy: 3.3219, recall: 0.734, relative_absolute_error: 0.761, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.7895, scimark_benchmark: 943.5504,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, build_cpu_time: 138.1551, build_memory: 1299158558.4, f_measure: 0.3497, kappa: 0.3939, kb_relative_information_score: 546.37, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4746, predictive_accuracy: 0.4545, prior_entropy: 3.3219, recall: 0.4545, relative_absolute_error: 0.8936, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.9281, scimark_benchmark: 925.481,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, build_cpu_time: 3272.7936, build_memory: 889698387.2, f_measure: 0.8078, kappa: 0.7817, kb_relative_information_score: 1595.7122, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8125, predictive_accuracy: 0.8035, prior_entropy: 3.3219, recall: 0.8035, relative_absolute_error: 0.2219, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.6465, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, build_cpu_time: 868.7823, build_memory: 106243541.6, f_measure: 0.8044, kappa: 0.7789, kb_relative_information_score: 1615.0393, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8082, predictive_accuracy: 0.801, prior_entropy: 3.3219, recall: 0.801, relative_absolute_error: 0.2206, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.6125, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, build_cpu_time: 450.084, build_memory: 225710136, f_measure: 0.8062, kappa: 0.7822, kb_relative_information_score: 1641.4672, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.809, predictive_accuracy: 0.804, prior_entropy: 3.3219, recall: 0.804, relative_absolute_error: 0.2168, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.173, root_relative_squared_error: 0.5768, scimark_benchmark: 922.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, build_cpu_time: 31.3959, build_memory: 225176500, f_measure: 0.6803, kappa: 0.655, kb_relative_information_score: 753.3716, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6776, predictive_accuracy: 0.6895, prior_entropy: 3.3219, recall: 0.6895, relative_absolute_error: 0.8144, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.8318, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, build_cpu_time: 30.6558, build_memory: 507212956.8, f_measure: 0.6803, kappa: 0.655, kb_relative_information_score: 753.3716, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6776, predictive_accuracy: 0.6895, prior_entropy: 3.3219, recall: 0.6895, relative_absolute_error: 0.8144, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.8318, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, build_cpu_time: 30.4667, build_memory: 175198205.6, f_measure: 0.6803, kappa: 0.655, kb_relative_information_score: 753.3716, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6776, predictive_accuracy: 0.6895, prior_entropy: 3.3219, recall: 0.6895, relative_absolute_error: 0.8144, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.8318, scimark_benchmark: 899.2335,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, build_cpu_time: 53.9939, build_memory: 123761990.4, f_measure: 0.7799, kappa: 0.7478, kb_relative_information_score: 1588.4423, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7883, predictive_accuracy: 0.773, prior_entropy: 3.3219, recall: 0.773, relative_absolute_error: 0.2552, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.606, scimark_benchmark: 939.521,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, build_cpu_time: 51.3865, build_memory: 2548532512.8, f_measure: 0.781, kappa: 0.7494, kb_relative_information_score: 1588.5495, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7888, predictive_accuracy: 0.7745, prior_entropy: 3.3219, recall: 0.7745, relative_absolute_error: 0.2554, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.606, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, build_cpu_time: 31.5711, build_memory: 964251143.2, f_measure: 0.7797, kappa: 0.7489, kb_relative_information_score: 1586.4666, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7864, predictive_accuracy: 0.774, prior_entropy: 3.3219, recall: 0.774, relative_absolute_error: 0.26, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.601, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, build_cpu_time: 15.8065, build_memory: 523451635.2, f_measure: 0.7788, kappa: 0.7494, kb_relative_information_score: 1576.2075, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7839, predictive_accuracy: 0.7745, prior_entropy: 3.3219, recall: 0.7745, relative_absolute_error: 0.2756, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.5888, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, build_cpu_time: 5.6878, build_memory: 1509830063.2, f_measure: 0.7502, kappa: 0.7222, kb_relative_information_score: 1498.4779, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.751, predictive_accuracy: 0.75, prior_entropy: 3.3219, recall: 0.75, relative_absolute_error: 0.2778, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.7135, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, build_cpu_time: 11.4638, build_memory: 961584562.4, f_measure: 0.7654, kappa: 0.74, kb_relative_information_score: 1519.5223, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7656, predictive_accuracy: 0.766, prior_entropy: 3.3219, recall: 0.766, relative_absolute_error: 0.2606, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.7051, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, build_cpu_time: 23.7518, build_memory: 854693052.8, f_measure: 0.7761, kappa: 0.7522, kb_relative_information_score: 1535.7771, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7761, predictive_accuracy: 0.777, prior_entropy: 3.3219, recall: 0.777, relative_absolute_error: 0.2496, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.6981, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, build_cpu_time: 49.0024, build_memory: 709515204, f_measure: 0.7795, kappa: 0.7561, kb_relative_information_score: 1545.5125, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7788, predictive_accuracy: 0.7805, prior_entropy: 3.3219, recall: 0.7805, relative_absolute_error: 0.2431, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.6918, scimark_benchmark: 908.2898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, build_cpu_time: 95.8969, build_memory: 143429994.4, f_measure: 0.7813, kappa: 0.7583, kb_relative_information_score: 1546.0937, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7805, predictive_accuracy: 0.7825, prior_entropy: 3.3219, recall: 0.7825, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.208, root_relative_squared_error: 0.6933, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, build_cpu_time: 0.6513, build_memory: 104653863.2, f_measure: 0.7912, kappa: 0.7661, kb_relative_information_score: 1556.424, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7938, predictive_accuracy: 0.7895, prior_entropy: 3.3219, recall: 0.7895, relative_absolute_error: 0.2381, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.6821, scimark_benchmark: 943.4024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, build_cpu_time: 0.0336, build_memory: 233270383.2, f_measure: 0.0653, kappa: 0.1067, kb_relative_information_score: 374.2919, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0392, predictive_accuracy: 0.196, prior_entropy: 3.3219, recall: 0.196, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.9698, scimark_benchmark: 934.2858,

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