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OpenML
Task
Supervised Classification on soybean

Supervised Classification on soybean

Task 41 Supervised Classification soybean 16132 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_70 under100k under1m
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16132 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9072, kappa: 0.8987, kb_relative_information_score: 626.7068, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9158, predictive_accuracy: 0.9078, prior_entropy: 3.8572, recall: 0.9078, relative_absolute_error: 0.1392, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0813, root_relative_squared_error: 0.3711, scimark_benchmark: 1324.8395, usercpu_time_millis: 100, usercpu_time_millis_testing: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.8658, kappa: 0.8676, kb_relative_information_score: 126.7023, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8763, predictive_accuracy: 0.8799, prior_entropy: 3.8572, recall: 0.8799, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.9733, scimark_benchmark: 1372.2145, usercpu_time_millis: 3000, usercpu_time_millis_testing: 2130, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9323, kappa: 0.9261, kb_relative_information_score: 128.9009, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9348, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.213, root_relative_squared_error: 0.972, scimark_benchmark: 942.2229, usercpu_time_millis: 1010, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.944, kappa: 0.939, kb_relative_information_score: 646.577, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9459, predictive_accuracy: 0.9444, prior_entropy: 3.8572, recall: 0.9444, relative_absolute_error: 0.0805, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.2957, scimark_benchmark: 915.9324, usercpu_time_millis: 4370, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9396, kappa: 0.9342, kb_relative_information_score: 642.3333, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9423, predictive_accuracy: 0.94, prior_entropy: 3.8572, recall: 0.94, relative_absolute_error: 0.0657, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.3628, scimark_benchmark: 1304.9611, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9261, kappa: 0.9199, kb_relative_information_score: 638.2877, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9342, predictive_accuracy: 0.9268, prior_entropy: 3.8572, recall: 0.9268, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0811, root_relative_squared_error: 0.3699, scimark_benchmark: 1368.9272, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9297, kappa: 0.923, kb_relative_information_score: 634.3878, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9346, predictive_accuracy: 0.9297, prior_entropy: 3.8572, recall: 0.9297, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0815, root_relative_squared_error: 0.3718, scimark_benchmark: 1327.8711, usercpu_time_millis: 17440, usercpu_time_millis_testing: 1300, usercpu_time_millis_training: 16140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9398, kappa: 0.9342, kb_relative_information_score: 599.9368, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9431, predictive_accuracy: 0.94, prior_entropy: 3.8572, recall: 0.94, relative_absolute_error: 0.2447, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.387, scimark_benchmark: 1307.4861, usercpu_time_millis: 460, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.8523, kappa: 0.8393, kb_relative_information_score: 578.2458, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8579, predictive_accuracy: 0.8536, prior_entropy: 3.8572, recall: 0.8536, relative_absolute_error: 0.1829, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1193, root_relative_squared_error: 0.5444, scimark_benchmark: 1280.6952, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8447, kappa: 0.8453, kb_relative_information_score: 567.1003, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8582, predictive_accuracy: 0.8594, prior_entropy: 3.8572, recall: 0.8594, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.4971, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.905, kappa: 0.9019, kb_relative_information_score: 613.5495, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9024, predictive_accuracy: 0.9107, prior_entropy: 3.8572, recall: 0.9107, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.087, root_relative_squared_error: 0.3971, scimark_benchmark: 1066.7184, usercpu_time_millis: 780, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.941, kappa: 0.9358, kb_relative_information_score: 644.172, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.942, predictive_accuracy: 0.9414, prior_entropy: 3.8572, recall: 0.9414, relative_absolute_error: 0.0641, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.3583, scimark_benchmark: 1325.2092, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6801, f_measure: 0.4659, kappa: 0.3467, kb_relative_information_score: 243.9095, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.7347, predictive_accuracy: 0.3836, prior_entropy: 3.8572, recall: 0.3836, relative_absolute_error: 0.6751, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2547, root_relative_squared_error: 1.1625, scimark_benchmark: 1384.4418, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9202, kappa: 0.9133, kb_relative_information_score: 621.4453, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.922, predictive_accuracy: 0.9209, prior_entropy: 3.8572, recall: 0.9209, relative_absolute_error: 0.1368, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.086, root_relative_squared_error: 0.3927, scimark_benchmark: 1465.2979, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.2971, kappa: 0.3186, kb_relative_information_score: 211.8908, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.2669, predictive_accuracy: 0.3982, prior_entropy: 3.8572, recall: 0.3982, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2517, root_relative_squared_error: 1.1486, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9341, kappa: 0.9278, kb_relative_information_score: 628.7041, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9354, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.1183, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.082, root_relative_squared_error: 0.374, scimark_benchmark: 942.1229, usercpu_time_millis: 166540, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 166440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.9032, kappa: 0.8942, kb_relative_information_score: 618.7026, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9104, predictive_accuracy: 0.9034, prior_entropy: 3.8572, recall: 0.9034, relative_absolute_error: 0.1058, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1009, root_relative_squared_error: 0.4603, scimark_benchmark: 1028.5889, usercpu_time_millis: 1150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, f_measure: 0.032, kb_relative_information_score: 0.5232, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.0181, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1.0001, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9232, kappa: 0.918, kb_relative_information_score: 621.7875, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9269, predictive_accuracy: 0.9253, prior_entropy: 3.8572, recall: 0.9253, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.3785, scimark_benchmark: 1054.3694, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9311, kappa: 0.9246, kb_relative_information_score: 637.5838, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9328, predictive_accuracy: 0.9312, prior_entropy: 3.8572, recall: 0.9312, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0821, root_relative_squared_error: 0.3748, scimark_benchmark: 942.6953, usercpu_time_millis: 1190, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.921, kappa: 0.9132, kb_relative_information_score: 630.9826, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9233, predictive_accuracy: 0.9209, prior_entropy: 3.8572, recall: 0.9209, relative_absolute_error: 0.0902, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0867, root_relative_squared_error: 0.3959, scimark_benchmark: 922.9039, usercpu_time_millis: 680, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9151, kappa: 0.9068, kb_relative_information_score: 629.9043, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9167, predictive_accuracy: 0.9151, prior_entropy: 3.8572, recall: 0.9151, relative_absolute_error: 0.0959, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.3909, scimark_benchmark: 939.7623, usercpu_time_millis: 690, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9151, kappa: 0.9068, kb_relative_information_score: 629.9043, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9167, predictive_accuracy: 0.9151, prior_entropy: 3.8572, recall: 0.9151, relative_absolute_error: 0.0959, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.3909, scimark_benchmark: 939.7623, usercpu_time_millis: 650, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.1595, kappa: 0.1942, kb_relative_information_score: 220.1396, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.1327, predictive_accuracy: 0.2796, prior_entropy: 3.8572, recall: 0.2796, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.9278, scimark_benchmark: 922.9039, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.1595, kappa: 0.1942, kb_relative_information_score: 220.1396, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.1327, predictive_accuracy: 0.2796, prior_entropy: 3.8572, recall: 0.2796, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.9278, scimark_benchmark: 926.6717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.1595, kappa: 0.1942, kb_relative_information_score: 220.1396, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.1327, predictive_accuracy: 0.2796, prior_entropy: 3.8572, recall: 0.2796, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.9278, scimark_benchmark: 934.5243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.1595, kappa: 0.1942, kb_relative_information_score: 220.1396, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.1327, predictive_accuracy: 0.2796, prior_entropy: 3.8572, recall: 0.2796, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.9278, scimark_benchmark: 939.7623, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.1595, kappa: 0.1942, kb_relative_information_score: 220.1396, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.1327, predictive_accuracy: 0.2796, prior_entropy: 3.8572, recall: 0.2796, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.9278, scimark_benchmark: 933.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9444, kappa: 0.939, kb_relative_information_score: 647.078, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9454, predictive_accuracy: 0.9444, prior_entropy: 3.8572, recall: 0.9444, relative_absolute_error: 0.0661, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0712, root_relative_squared_error: 0.3249, scimark_benchmark: 934.5243, usercpu_time_millis: 2580, usercpu_time_millis_training: 2580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9431, kappa: 0.9374, kb_relative_information_score: 647.033, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.944, predictive_accuracy: 0.9429, prior_entropy: 3.8572, recall: 0.9429, relative_absolute_error: 0.0688, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0699, root_relative_squared_error: 0.3191, scimark_benchmark: 938.2848, usercpu_time_millis: 1220, usercpu_time_millis_training: 1220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9354, kappa: 0.9294, kb_relative_information_score: 645.9074, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9374, predictive_accuracy: 0.9356, prior_entropy: 3.8572, recall: 0.9356, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0687, root_relative_squared_error: 0.3137, scimark_benchmark: 932.3943, usercpu_time_millis: 710, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9399, kappa: 0.9342, kb_relative_information_score: 647.1692, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9413, predictive_accuracy: 0.94, prior_entropy: 3.8572, recall: 0.94, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.065, root_relative_squared_error: 0.2965, scimark_benchmark: 933.8635, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, f_measure: 0.032, kb_relative_information_score: 0.5232, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.0181, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1.0001, scimark_benchmark: 938.9865,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, build_cpu_time: 13.654, build_memory: 136747545.6047, f_measure: 0.8477, kappa: 0.8355, kb_relative_information_score: 455.3551, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8641, predictive_accuracy: 0.8507, prior_entropy: 3.8572, recall: 0.8507, relative_absolute_error: 0.5536, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.6145, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, build_cpu_time: 14.9645, build_memory: 1031968973.7394, f_measure: 0.8588, kappa: 0.8453, kb_relative_information_score: 472.7284, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8751, predictive_accuracy: 0.8594, prior_entropy: 3.8572, recall: 0.8594, relative_absolute_error: 0.5129, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.5896, scimark_benchmark: 893.4088,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, build_cpu_time: 955.5273, build_memory: 1611970142.735, f_measure: 0.9355, kappa: 0.9293, kb_relative_information_score: 642.1321, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9368, predictive_accuracy: 0.9356, prior_entropy: 3.8572, recall: 0.9356, relative_absolute_error: 0.0686, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.079, root_relative_squared_error: 0.3607, scimark_benchmark: 935.1241,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, build_cpu_time: 167.5664, build_memory: 959762458.9048, f_measure: 0.9426, kappa: 0.9374, kb_relative_information_score: 644.9185, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.944, predictive_accuracy: 0.9429, prior_entropy: 3.8572, recall: 0.9429, relative_absolute_error: 0.0643, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.076, root_relative_squared_error: 0.347, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, build_cpu_time: 13.6408, build_memory: 133752377.9327, f_measure: 0.9355, kappa: 0.9294, kb_relative_information_score: 631.1917, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9362, predictive_accuracy: 0.9356, prior_entropy: 3.8572, recall: 0.9356, relative_absolute_error: 0.1326, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.3228, scimark_benchmark: 945.0532,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, build_cpu_time: 1.3882, build_memory: 734119576.6325, f_measure: 0.9375, kappa: 0.9309, kb_relative_information_score: 641.9074, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9385, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.0709, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0773, root_relative_squared_error: 0.3529, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, build_cpu_time: 0.8705, build_memory: 2187291158.9341, f_measure: 0.9417, kappa: 0.9358, kb_relative_information_score: 644.2475, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9426, predictive_accuracy: 0.9414, prior_entropy: 3.8572, recall: 0.9414, relative_absolute_error: 0.0683, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.3407, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, build_cpu_time: 0.4528, build_memory: 727451738.448, f_measure: 0.9388, kappa: 0.9325, kb_relative_information_score: 644.605, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9396, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.0677, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0736, root_relative_squared_error: 0.336, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, build_cpu_time: 0.1305, build_memory: 226179702.5124, f_measure: 0.9385, kappa: 0.9326, kb_relative_information_score: 640.1247, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9393, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.0695, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.077, root_relative_squared_error: 0.3515, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, build_cpu_time: 0.236, build_memory: 1633959389.7043, f_measure: 0.9383, kappa: 0.9326, kb_relative_information_score: 640.4821, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.939, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.0694, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.3508, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, build_cpu_time: 0.2722, build_memory: 61380178.776, f_measure: 0.9397, kappa: 0.9342, kb_relative_information_score: 641.4264, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9405, predictive_accuracy: 0.94, prior_entropy: 3.8572, recall: 0.94, relative_absolute_error: 0.068, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.3493, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, build_cpu_time: 0.3606, build_memory: 563999258.1552, f_measure: 0.9383, kappa: 0.9326, kb_relative_information_score: 640.9288, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9392, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.0688, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.3518, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, build_cpu_time: 0.4663, build_memory: 477754080.3397, f_measure: 0.9383, kappa: 0.9326, kb_relative_information_score: 640.9288, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9392, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.0688, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.3518, scimark_benchmark: 937.6343,

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