OpenML
Supervised Classification on car

Supervised Classification on car

Task 3854 Supervised Classification car 561 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9713, kappa: 0.9323, kb_relative_information_score: 348.2948, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9723, predictive_accuracy: 0.9711, prior_entropy: 0.8813, recall: 0.9711, relative_absolute_error: 0.8464, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7842, scimark_benchmark: 924.4107, usercpu_time_millis: 860, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.5768, kb_relative_information_score: 404.3144, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 0.8813, recall: 0.7002, relative_absolute_error: 0.7886, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.8257, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9471, kappa: 0.8751, kb_relative_information_score: 1460.6033, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9481, predictive_accuracy: 0.9468, prior_entropy: 0.8813, recall: 0.9468, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4534, scimark_benchmark: 923.509, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9579, kappa: 0.9002, kb_relative_information_score: 1220.5719, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9583, predictive_accuracy: 0.9578, prior_entropy: 0.8813, recall: 0.9578, relative_absolute_error: 0.3237, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.46, scimark_benchmark: 919.6941, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9634, kappa: 0.9141, kb_relative_information_score: 1296.6098, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9657, predictive_accuracy: 0.963, prior_entropy: 0.8813, recall: 0.963, relative_absolute_error: 0.282, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.426, scimark_benchmark: 933.5515, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9691, kappa: 0.9275, kb_relative_information_score: 1589.485, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9712, predictive_accuracy: 0.9688, prior_entropy: 0.8813, recall: 0.9688, relative_absolute_error: 0.0744, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.3858, scimark_benchmark: 949.7766, usercpu_time_millis: 340, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9816, kappa: 0.9562, kb_relative_information_score: 1214.8071, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9818, predictive_accuracy: 0.9815, prior_entropy: 0.8813, recall: 0.9815, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.219, root_relative_squared_error: 0.478, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9816, kappa: 0.9562, kb_relative_information_score: 1214.8071, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9818, predictive_accuracy: 0.9815, prior_entropy: 0.8813, recall: 0.9815, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.219, root_relative_squared_error: 0.478, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9816, kappa: 0.9562, kb_relative_information_score: 1214.8071, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9818, predictive_accuracy: 0.9815, prior_entropy: 0.8813, recall: 0.9815, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.219, root_relative_squared_error: 0.478, scimark_benchmark: 935.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9609, kappa: 0.9076, kb_relative_information_score: 1441.5184, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9617, predictive_accuracy: 0.9606, prior_entropy: 0.8813, recall: 0.9606, relative_absolute_error: 0.1741, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3762, scimark_benchmark: 922.5036, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9925, kappa: 0.9821, kb_relative_information_score: 1573.8307, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 0.8813, recall: 0.9925, relative_absolute_error: 0.1069, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.2344, scimark_benchmark: 946.9304, usercpu_time_millis: 35250, usercpu_time_millis_testing: 680, usercpu_time_millis_training: 34570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9816, kappa: 0.9562, kb_relative_information_score: 1214.8071, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9818, predictive_accuracy: 0.9815, prior_entropy: 0.8813, recall: 0.9815, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.219, root_relative_squared_error: 0.478, scimark_benchmark: 942.3809, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9648, kappa: 0.9166, kb_relative_information_score: 1340.4543, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9652, predictive_accuracy: 0.9647, prior_entropy: 0.8813, recall: 0.9647, relative_absolute_error: 0.2543, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.4168, scimark_benchmark: 946.6409, usercpu_time_millis: 440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9776, kappa: 0.9469, kb_relative_information_score: 1380.7215, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9781, predictive_accuracy: 0.9774, prior_entropy: 0.8813, recall: 0.9774, relative_absolute_error: 0.2344, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.3586, scimark_benchmark: 942.3809, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9471, kappa: 0.8751, kb_relative_information_score: 1460.6033, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9481, predictive_accuracy: 0.9468, prior_entropy: 0.8813, recall: 0.9468, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4534, scimark_benchmark: 901.8743, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9691, kappa: 0.9275, kb_relative_information_score: 1589.485, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9712, predictive_accuracy: 0.9688, prior_entropy: 0.8813, recall: 0.9688, relative_absolute_error: 0.0744, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.3858, scimark_benchmark: 1333.335, usercpu_time_millis: 380, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9691, kappa: 0.9275, kb_relative_information_score: 1589.485, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9712, predictive_accuracy: 0.9688, prior_entropy: 0.8813, recall: 0.9688, relative_absolute_error: 0.0744, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.3858, scimark_benchmark: 1327.5842, usercpu_time_millis: 360, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9402, kappa: 0.8573, kb_relative_information_score: 1117.0623, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9402, predictive_accuracy: 0.9404, prior_entropy: 0.8813, recall: 0.9404, relative_absolute_error: 0.3762, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2481, root_relative_squared_error: 0.5415, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9816, kappa: 0.9562, kb_relative_information_score: 1214.8071, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9818, predictive_accuracy: 0.9815, prior_entropy: 0.8813, recall: 0.9815, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.219, root_relative_squared_error: 0.478, scimark_benchmark: 1332.1612, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9691, kappa: 0.9275, kb_relative_information_score: 1589.485, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9712, predictive_accuracy: 0.9688, prior_entropy: 0.8813, recall: 0.9688, relative_absolute_error: 0.0744, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.3858, scimark_benchmark: 1342.8632, usercpu_time_millis: 360, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9816, kappa: 0.9562, kb_relative_information_score: 1214.8071, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9818, predictive_accuracy: 0.9815, prior_entropy: 0.8813, recall: 0.9815, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.219, root_relative_squared_error: 0.478, scimark_benchmark: 1353.0836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9816, kappa: 0.9562, kb_relative_information_score: 1214.8071, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9818, predictive_accuracy: 0.9815, prior_entropy: 0.8813, recall: 0.9815, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.219, root_relative_squared_error: 0.478, scimark_benchmark: 1353.0836, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9471, kappa: 0.8751, kb_relative_information_score: 1460.6033, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9481, predictive_accuracy: 0.9468, prior_entropy: 0.8813, recall: 0.9468, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4534, scimark_benchmark: 1322.5413, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9816, kappa: 0.9562, kb_relative_information_score: 1214.8071, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9818, predictive_accuracy: 0.9815, prior_entropy: 0.8813, recall: 0.9815, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.219, root_relative_squared_error: 0.478, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9816, kappa: 0.9562, kb_relative_information_score: 1214.8071, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9818, predictive_accuracy: 0.9815, prior_entropy: 0.8813, recall: 0.9815, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.219, root_relative_squared_error: 0.478, scimark_benchmark: 1362.9924, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9776, kappa: 0.9469, kb_relative_information_score: 1380.7215, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9781, predictive_accuracy: 0.9774, prior_entropy: 0.8813, recall: 0.9774, relative_absolute_error: 0.2344, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.3586, scimark_benchmark: 1336.0954, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9471, kappa: 0.8751, kb_relative_information_score: 1460.6033, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9481, predictive_accuracy: 0.9468, prior_entropy: 0.8813, recall: 0.9468, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4534, scimark_benchmark: 944.4621, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9816, kappa: 0.9562, kb_relative_information_score: 1214.8071, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9818, predictive_accuracy: 0.9815, prior_entropy: 0.8813, recall: 0.9815, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.219, root_relative_squared_error: 0.478, scimark_benchmark: 1303.5632, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9816, kappa: 0.9562, kb_relative_information_score: 1214.8071, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9818, predictive_accuracy: 0.9815, prior_entropy: 0.8813, recall: 0.9815, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.219, root_relative_squared_error: 0.478, scimark_benchmark: 1303.5632, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9691, kappa: 0.9275, kb_relative_information_score: 1589.485, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9712, predictive_accuracy: 0.9688, prior_entropy: 0.8813, recall: 0.9688, relative_absolute_error: 0.0744, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.3858, scimark_benchmark: 1303.5632, usercpu_time_millis: 340, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9402, kappa: 0.8573, kb_relative_information_score: 1117.0623, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9402, predictive_accuracy: 0.9404, prior_entropy: 0.8813, recall: 0.9404, relative_absolute_error: 0.3762, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2481, root_relative_squared_error: 0.5415, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9816, kappa: 0.9562, kb_relative_information_score: 1214.8071, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9818, predictive_accuracy: 0.9815, prior_entropy: 0.8813, recall: 0.9815, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.219, root_relative_squared_error: 0.478, scimark_benchmark: 908.2231,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9609, kappa: 0.9076, kb_relative_information_score: 1441.5184, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9617, predictive_accuracy: 0.9606, prior_entropy: 0.8813, recall: 0.9606, relative_absolute_error: 0.1741, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3762, scimark_benchmark: 1349.1517, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9402, kappa: 0.8573, kb_relative_information_score: 1117.0623, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9402, predictive_accuracy: 0.9404, prior_entropy: 0.8813, recall: 0.9404, relative_absolute_error: 0.3762, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2481, root_relative_squared_error: 0.5415, scimark_benchmark: 1337.8124, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9816, kappa: 0.9562, kb_relative_information_score: 1214.8071, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9818, predictive_accuracy: 0.9815, prior_entropy: 0.8813, recall: 0.9815, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.219, root_relative_squared_error: 0.478, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9471, kappa: 0.8751, kb_relative_information_score: 1460.6033, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9481, predictive_accuracy: 0.9468, prior_entropy: 0.8813, recall: 0.9468, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4534, scimark_benchmark: 1320.9387, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9579, kappa: 0.9002, kb_relative_information_score: 1220.5719, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9583, predictive_accuracy: 0.9578, prior_entropy: 0.8813, recall: 0.9578, relative_absolute_error: 0.3237, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.46, scimark_benchmark: 1348.2476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9925, kappa: 0.9821, kb_relative_information_score: 1573.8307, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 0.8813, recall: 0.9925, relative_absolute_error: 0.1069, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.2344, scimark_benchmark: 1264.9916, usercpu_time_millis: 21520, usercpu_time_millis_testing: 570, usercpu_time_millis_training: 20950,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9402, kappa: 0.8573, kb_relative_information_score: 1117.0623, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9402, predictive_accuracy: 0.9404, prior_entropy: 0.8813, recall: 0.9404, relative_absolute_error: 0.3762, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2481, root_relative_squared_error: 0.5415, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9471, kappa: 0.8751, kb_relative_information_score: 1460.6033, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9481, predictive_accuracy: 0.9468, prior_entropy: 0.8813, recall: 0.9468, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4534, scimark_benchmark: 1261.7298, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9634, kappa: 0.9141, kb_relative_information_score: 1296.6098, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9657, predictive_accuracy: 0.963, prior_entropy: 0.8813, recall: 0.963, relative_absolute_error: 0.282, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.426, scimark_benchmark: 1328.1545, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9816, kappa: 0.9562, kb_relative_information_score: 1214.8071, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9818, predictive_accuracy: 0.9815, prior_entropy: 0.8813, recall: 0.9815, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.219, root_relative_squared_error: 0.478, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9579, kappa: 0.9002, kb_relative_information_score: 1220.5719, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9583, predictive_accuracy: 0.9578, prior_entropy: 0.8813, recall: 0.9578, relative_absolute_error: 0.3237, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.46, scimark_benchmark: 1327.5791, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9816, kappa: 0.9562, kb_relative_information_score: 1214.8071, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9818, predictive_accuracy: 0.9815, prior_entropy: 0.8813, recall: 0.9815, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.219, root_relative_squared_error: 0.478, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9816, kappa: 0.9562, kb_relative_information_score: 1214.8071, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9818, predictive_accuracy: 0.9815, prior_entropy: 0.8813, recall: 0.9815, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.219, root_relative_squared_error: 0.478, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9648, kappa: 0.9166, kb_relative_information_score: 1340.4543, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9652, predictive_accuracy: 0.9647, prior_entropy: 0.8813, recall: 0.9647, relative_absolute_error: 0.2543, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.4168, scimark_benchmark: 1312.0581, usercpu_time_millis: 360, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9816, kappa: 0.9562, kb_relative_information_score: 1214.8071, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9818, predictive_accuracy: 0.9815, prior_entropy: 0.8813, recall: 0.9815, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.219, root_relative_squared_error: 0.478, scimark_benchmark: 1322.7383, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9816, kappa: 0.9562, kb_relative_information_score: 1214.8071, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9818, predictive_accuracy: 0.9815, prior_entropy: 0.8813, recall: 0.9815, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.219, root_relative_squared_error: 0.478, scimark_benchmark: 1354.3488, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9816, kappa: 0.9562, kb_relative_information_score: 1214.8071, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9818, predictive_accuracy: 0.9815, prior_entropy: 0.8813, recall: 0.9815, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.219, root_relative_squared_error: 0.478, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9816, kappa: 0.9562, kb_relative_information_score: 1214.8071, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9818, predictive_accuracy: 0.9815, prior_entropy: 0.8813, recall: 0.9815, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.219, root_relative_squared_error: 0.478, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9816, kappa: 0.9562, kb_relative_information_score: 1214.8071, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9818, predictive_accuracy: 0.9815, prior_entropy: 0.8813, recall: 0.9815, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.219, root_relative_squared_error: 0.478, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9776, kappa: 0.9469, kb_relative_information_score: 1380.7215, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9781, predictive_accuracy: 0.9774, prior_entropy: 0.8813, recall: 0.9774, relative_absolute_error: 0.2344, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.3586, scimark_benchmark: 1345.7204, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9579, kappa: 0.9002, kb_relative_information_score: 1220.5719, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9583, predictive_accuracy: 0.9578, prior_entropy: 0.8813, recall: 0.9578, relative_absolute_error: 0.3237, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.46, scimark_benchmark: 1328.941, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9579, kappa: 0.9002, kb_relative_information_score: 1220.5719, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9583, predictive_accuracy: 0.9578, prior_entropy: 0.8813, recall: 0.9578, relative_absolute_error: 0.3237, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.46, scimark_benchmark: 1309.4998, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9634, kappa: 0.9141, kb_relative_information_score: 1296.6098, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9657, predictive_accuracy: 0.963, prior_entropy: 0.8813, recall: 0.963, relative_absolute_error: 0.282, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.426, scimark_benchmark: 1342.1678, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9516, kappa: 0.8851, kb_relative_information_score: 1466.5594, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9519, predictive_accuracy: 0.9514, prior_entropy: 0.8813, recall: 0.9514, relative_absolute_error: 0.1517, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.394, scimark_benchmark: 934.4732, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9579, kappa: 0.9002, kb_relative_information_score: 1220.5719, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9583, predictive_accuracy: 0.9578, prior_entropy: 0.8813, recall: 0.9578, relative_absolute_error: 0.3237, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.46, scimark_benchmark: 1309.4998, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9471, kappa: 0.8751, kb_relative_information_score: 1460.6033, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4199, number_of_instances: 1728, precision: 0.9481, predictive_accuracy: 0.9468, prior_entropy: 0.8813, recall: 0.9468, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4534, scimark_benchmark: 1249.4068, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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