OpenML
Supervised Classification on mfeat-factors

Supervised Classification on mfeat-factors

Task 1776 Supervised Classification mfeat-factors 300 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.925, kappa: 0.9166, kb_relative_information_score: 9224.1707, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9261, predictive_accuracy: 0.9249, prior_entropy: 3.3219, recall: 0.9249, relative_absolute_error: 0.0834, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.403, scimark_benchmark: 1347.917, usercpu_time_millis: 500, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.814, kappa: 0.7976, kb_relative_information_score: 4867.0985, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.828, predictive_accuracy: 0.8178, prior_entropy: 3.3219, recall: 0.8178, relative_absolute_error: 0.7489, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.245, root_relative_squared_error: 0.8165, scimark_benchmark: 1313.5052, usercpu_time_millis: 216280, usercpu_time_millis_testing: 216280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 1322.7383, usercpu_time_millis: 6280, usercpu_time_millis_testing: 5610, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.925, kappa: 0.9166, kb_relative_information_score: 9224.1707, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9261, predictive_accuracy: 0.9249, prior_entropy: 3.3219, recall: 0.9249, relative_absolute_error: 0.0834, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.403, scimark_benchmark: 1335.643, usercpu_time_millis: 540, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 1342.6911, usercpu_time_millis: 6360, usercpu_time_millis_testing: 5660, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 1342.6911, usercpu_time_millis: 6380, usercpu_time_millis_testing: 5670, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9185, kappa: 0.9094, kb_relative_information_score: 8569.8054, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9188, predictive_accuracy: 0.9185, prior_entropy: 3.3219, recall: 0.9185, relative_absolute_error: 0.2451, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.4079, scimark_benchmark: 1312.0581, usercpu_time_millis: 2500, usercpu_time_millis_training: 2500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8056, kappa: 0.7842, kb_relative_information_score: 7978.0777, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8061, predictive_accuracy: 0.8058, prior_entropy: 3.3219, recall: 0.8058, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.6163, scimark_benchmark: 1345.7204, usercpu_time_millis: 280, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8627, kappa: 0.8476, kb_relative_information_score: 8487.0626, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8627, predictive_accuracy: 0.8628, prior_entropy: 3.3219, recall: 0.8628, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.5314, scimark_benchmark: 1340.1351, usercpu_time_millis: 3760, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8285, kappa: 0.8101, kb_relative_information_score: 7901.9456, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8287, predictive_accuracy: 0.8291, prior_entropy: 3.3219, recall: 0.8291, relative_absolute_error: 0.31, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.529, scimark_benchmark: 1327.2954, usercpu_time_millis: 14450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 14440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8056, kappa: 0.7842, kb_relative_information_score: 7978.0777, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8061, predictive_accuracy: 0.8058, prior_entropy: 3.3219, recall: 0.8058, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.6163, scimark_benchmark: 1350.2369, usercpu_time_millis: 240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9443, kappa: 0.9381, kb_relative_information_score: 8560.8895, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9446, predictive_accuracy: 0.9443, prior_entropy: 3.3219, recall: 0.9443, relative_absolute_error: 0.2637, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.3845, scimark_benchmark: 1333.8751, usercpu_time_millis: 20470, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 20050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.87, kappa: 0.8558, kb_relative_information_score: 8614.9224, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8708, predictive_accuracy: 0.8702, prior_entropy: 3.3219, recall: 0.8702, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.5315, scimark_benchmark: 916.5769, usercpu_time_millis: 1400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9677, kappa: 0.9641, kb_relative_information_score: 9654.8295, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9678, predictive_accuracy: 0.9677, prior_entropy: 3.3219, recall: 0.9677, relative_absolute_error: 0.0477, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.2391, scimark_benchmark: 1340.9497, usercpu_time_millis: 45440, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 45400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9605, kappa: 0.9561, kb_relative_information_score: 8702.0094, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9607, predictive_accuracy: 0.9605, prior_entropy: 3.3219, recall: 0.9605, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.109, root_relative_squared_error: 0.3632, scimark_benchmark: 926.6704, usercpu_time_millis: 1760, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.909, kappa: 0.8926, kb_relative_information_score: 9004.167, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9252, predictive_accuracy: 0.9033, prior_entropy: 3.3219, recall: 0.9033, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.137, root_relative_squared_error: 0.4566, scimark_benchmark: 1352.2099, usercpu_time_millis: 89400, usercpu_time_millis_training: 89400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8056, kappa: 0.7842, kb_relative_information_score: 7978.0777, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8061, predictive_accuracy: 0.8058, prior_entropy: 3.3219, recall: 0.8058, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.6163, scimark_benchmark: 1371.9645, usercpu_time_millis: 240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8285, kappa: 0.8101, kb_relative_information_score: 7901.9456, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8287, predictive_accuracy: 0.8291, prior_entropy: 3.3219, recall: 0.8291, relative_absolute_error: 0.31, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.529, scimark_benchmark: 1314.0383, usercpu_time_millis: 14510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 14500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.925, kappa: 0.9166, kb_relative_information_score: 9224.1707, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9261, predictive_accuracy: 0.9249, prior_entropy: 3.3219, recall: 0.9249, relative_absolute_error: 0.0834, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.403, scimark_benchmark: 833.3193, usercpu_time_millis: 500, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5641, f_measure: 0.1073, kappa: 0.0529, kb_relative_information_score: 661, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9105, predictive_accuracy: 0.1476, prior_entropy: 3.3219, recall: 0.1476, relative_absolute_error: 0.9339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.9664, scimark_benchmark: 904.3681, usercpu_time_millis: 863260, usercpu_time_millis_testing: 863250, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9657, kappa: 0.9619, kb_relative_information_score: 9642.9454, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 3.3219, recall: 0.9657, relative_absolute_error: 0.0488, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0736, root_relative_squared_error: 0.2452, scimark_benchmark: 961.21, usercpu_time_millis: 6930, usercpu_time_millis_testing: 1250, usercpu_time_millis_training: 5680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9658, kappa: 0.962, kb_relative_information_score: 9642.3509, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9658, predictive_accuracy: 0.9658, prior_entropy: 3.3219, recall: 0.9658, relative_absolute_error: 0.038, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.2757, scimark_benchmark: 934.4732, usercpu_time_millis: 5650, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9152, kappa: 0.9046, kb_relative_information_score: 697.5328, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9203, predictive_accuracy: 0.9141, prior_entropy: 3.3219, recall: 0.9141, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.9811, scimark_benchmark: 1313.6093, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.9109, kappa: 0.901, kb_relative_information_score: 9068.2301, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9124, predictive_accuracy: 0.9109, prior_entropy: 3.3219, recall: 0.9109, relative_absolute_error: 0.099, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.445, scimark_benchmark: 1346.3935, usercpu_time_millis: 19080, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 19010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7363, f_measure: 0.1391, kappa: 0.1083, kb_relative_information_score: 2248.3078, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.1168, predictive_accuracy: 0.1975, prior_entropy: 3.3219, recall: 0.1975, relative_absolute_error: 0.9244, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.9635, scimark_benchmark: 904.3681, usercpu_time_millis: 930, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9085, kappa: 0.8984, kb_relative_information_score: 9030.517, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9087, predictive_accuracy: 0.9086, prior_entropy: 3.3219, recall: 0.9086, relative_absolute_error: 0.1342, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.4114, scimark_benchmark: 765.566, usercpu_time_millis: 13020, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 13010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9617, kappa: 0.9574, kb_relative_information_score: 9628.3449, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9619, predictive_accuracy: 0.9617, prior_entropy: 3.3219, recall: 0.9617, relative_absolute_error: 0.0458, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0781, root_relative_squared_error: 0.2604, scimark_benchmark: 1322.4968, usercpu_time_millis: 28940, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 28930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9539, kappa: 0.9487, kb_relative_information_score: 9521.5505, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9541, predictive_accuracy: 0.9538, prior_entropy: 3.3219, recall: 0.9538, relative_absolute_error: 0.0649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0845, root_relative_squared_error: 0.2817, scimark_benchmark: 1270.2428, usercpu_time_millis: 13570, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 13560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9185, kappa: 0.9094, kb_relative_information_score: 8569.8054, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9188, predictive_accuracy: 0.9185, prior_entropy: 3.3219, recall: 0.9185, relative_absolute_error: 0.2451, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.4079, scimark_benchmark: 1337.6765, usercpu_time_millis: 2730, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.5407, kappa: 0.4993, kb_relative_information_score: 5287.8167, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6403, predictive_accuracy: 0.5494, prior_entropy: 3.3219, recall: 0.5494, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0007, scimark_benchmark: 855.8522, usercpu_time_millis: 88810, usercpu_time_millis_testing: 30740, usercpu_time_millis_training: 58070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8222, kappa: 0.8028, kb_relative_information_score: 8140.0704, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8222, predictive_accuracy: 0.8225, prior_entropy: 3.3219, recall: 0.8225, relative_absolute_error: 0.2108, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.603, scimark_benchmark: 1353.3179, usercpu_time_millis: 1580, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8222, kappa: 0.8028, kb_relative_information_score: 8140.0704, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8222, predictive_accuracy: 0.8225, prior_entropy: 3.3219, recall: 0.8225, relative_absolute_error: 0.2108, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.603, scimark_benchmark: 1360.2771, usercpu_time_millis: 2260, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8056, kappa: 0.7842, kb_relative_information_score: 7978.0777, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8061, predictive_accuracy: 0.8058, prior_entropy: 3.3219, recall: 0.8058, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.6163, scimark_benchmark: 1339.7143, usercpu_time_millis: 260, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9232, kappa: 0.9146, kb_relative_information_score: 9208.1006, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9243, predictive_accuracy: 0.9231, prior_entropy: 3.3219, recall: 0.9231, relative_absolute_error: 0.0851, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.4084, scimark_benchmark: 1343.4572, usercpu_time_millis: 1340, usercpu_time_millis_testing: 1240, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9237, kappa: 0.9151, kb_relative_information_score: 9208.4608, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9248, predictive_accuracy: 0.9236, prior_entropy: 3.3219, recall: 0.9236, relative_absolute_error: 0.085, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.4083, scimark_benchmark: 1301.9176, usercpu_time_millis: 1320, usercpu_time_millis_testing: 1250, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.5803, kappa: 0.5728, kb_relative_information_score: 4450.5719, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6014, predictive_accuracy: 0.6155, prior_entropy: 3.3219, recall: 0.6155, relative_absolute_error: 0.7662, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.8195, scimark_benchmark: 1334.9657, usercpu_time_millis: 3370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3360,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9674, kappa: 0.9638, kb_relative_information_score: 9652.8551, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9675, predictive_accuracy: 0.9674, prior_entropy: 3.3219, recall: 0.9674, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0712, root_relative_squared_error: 0.2373, scimark_benchmark: 1337.7959, usercpu_time_millis: 10660, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 10580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9658, kappa: 0.962, kb_relative_information_score: 9642.3509, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9658, predictive_accuracy: 0.9658, prior_entropy: 3.3219, recall: 0.9658, relative_absolute_error: 0.038, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.2757, scimark_benchmark: 939.449, usercpu_time_millis: 5400, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8571, kappa: 0.8399, kb_relative_information_score: 8392.1055, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8628, predictive_accuracy: 0.8559, prior_entropy: 3.3219, recall: 0.8559, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.5151, scimark_benchmark: 1319.6463, usercpu_time_millis: 1213050, usercpu_time_millis_testing: 5030, usercpu_time_millis_training: 1208020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.8042, kappa: 0.7823, kb_relative_information_score: 7951.3611, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8048, predictive_accuracy: 0.8041, prior_entropy: 3.3219, recall: 0.8041, relative_absolute_error: 0.2177, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.6598, scimark_benchmark: 1321.527, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.8324, kappa: 0.8133, kb_relative_information_score: 8012.6521, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8332, predictive_accuracy: 0.832, prior_entropy: 3.3219, recall: 0.832, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.5656, scimark_benchmark: 1335.4072, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.8566, kappa: 0.8406, kb_relative_information_score: 8380.1808, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8571, predictive_accuracy: 0.8565, prior_entropy: 3.3219, recall: 0.8565, relative_absolute_error: 0.1944, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.534, scimark_benchmark: 1354.2491, usercpu_time_millis: 4570, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8808, kappa: 0.8676, kb_relative_information_score: 8753.4571, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8914, predictive_accuracy: 0.8808, prior_entropy: 3.3219, recall: 0.8808, relative_absolute_error: 0.1324, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.5147, scimark_benchmark: 1315.395, usercpu_time_millis: 4770, usercpu_time_millis_testing: 2200, usercpu_time_millis_training: 2570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, f_measure: 0.0238, kappa: 0.0031, kb_relative_information_score: 617.4638, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.41, predictive_accuracy: 0.1028, prior_entropy: 3.3219, recall: 0.1028, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4236, root_relative_squared_error: 1.412, scimark_benchmark: 1368.9272, usercpu_time_millis: 8450, usercpu_time_millis_testing: 1770, usercpu_time_millis_training: 6680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.8732, kappa: 0.8597, kb_relative_information_score: 8654.7047, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8736, predictive_accuracy: 0.8737, prior_entropy: 3.3219, recall: 0.8737, relative_absolute_error: 0.1483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.5203, scimark_benchmark: 1384.4418, usercpu_time_millis: 1150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, f_measure: 0.3788, kappa: 0.3172, kb_relative_information_score: 3573.8202, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.3774, predictive_accuracy: 0.3855, prior_entropy: 3.3219, recall: 0.3855, relative_absolute_error: 0.6828, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3506, root_relative_squared_error: 1.1686, scimark_benchmark: 1465.2979, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8516, kappa: 0.8351, kb_relative_information_score: 8448.0959, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8519, predictive_accuracy: 0.8516, prior_entropy: 3.3219, recall: 0.8516, relative_absolute_error: 0.1649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.5743, scimark_benchmark: 1028.5889, usercpu_time_millis: 77920, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 77910,
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: 10000, 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: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8595, kappa: 0.8438, kb_relative_information_score: 8520.1468, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8598, predictive_accuracy: 0.8594, prior_entropy: 3.3219, recall: 0.8594, relative_absolute_error: 0.1653, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.5413, scimark_benchmark: 1028.5889, usercpu_time_millis: 840, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, build_cpu_time: 21.9099, build_memory: 787254200, f_measure: 0.9674, kappa: 0.9638, kb_relative_information_score: 8322.2534, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9674, predictive_accuracy: 0.9674, prior_entropy: 3.3219, recall: 0.9674, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.4717, scimark_benchmark: 920.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, build_cpu_time: 11.0726, build_memory: 814298097.6, f_measure: 0.9684, kappa: 0.9649, kb_relative_information_score: 8332.8322, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9685, predictive_accuracy: 0.9684, prior_entropy: 3.3219, recall: 0.9684, relative_absolute_error: 0.2059, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.4692, scimark_benchmark: 943.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, build_cpu_time: 5.4761, build_memory: 1348993203.2, f_measure: 0.9674, kappa: 0.9638, kb_relative_information_score: 8328.067, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9675, predictive_accuracy: 0.9674, prior_entropy: 3.3219, recall: 0.9674, relative_absolute_error: 0.2067, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.141, root_relative_squared_error: 0.47, scimark_benchmark: 940.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, build_cpu_time: 2.3493, build_memory: 390640016, f_measure: 0.9399, kappa: 0.9332, kb_relative_information_score: 9389.293, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9401, predictive_accuracy: 0.9399, prior_entropy: 3.3219, recall: 0.9399, relative_absolute_error: 0.0782, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.3223, scimark_benchmark: 940.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, build_cpu_time: 4.3114, build_memory: 726562272, f_measure: 0.9508, kappa: 0.9453, kb_relative_information_score: 9509.9217, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9509, predictive_accuracy: 0.9508, prior_entropy: 3.3219, recall: 0.9508, relative_absolute_error: 0.0594, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.09, root_relative_squared_error: 0.2999, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, build_cpu_time: 8.4684, build_memory: 824909682.4, f_measure: 0.9574, kappa: 0.9527, kb_relative_information_score: 9572.3891, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9575, predictive_accuracy: 0.9574, prior_entropy: 3.3219, recall: 0.9574, relative_absolute_error: 0.0506, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.2843, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, build_cpu_time: 15.883, build_memory: 470031276, f_measure: 0.9618, kappa: 0.9576, kb_relative_information_score: 9608.5233, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9619, predictive_accuracy: 0.9618, prior_entropy: 3.3219, recall: 0.9618, relative_absolute_error: 0.0458, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.2743, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, build_cpu_time: 25.9207, build_memory: 92340170.4, f_measure: 0.9619, kappa: 0.9577, kb_relative_information_score: 9615.1301, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.962, predictive_accuracy: 0.9619, prior_entropy: 3.3219, recall: 0.9619, relative_absolute_error: 0.0448, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0818, root_relative_squared_error: 0.2726, scimark_benchmark: 939.9885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, build_cpu_time: 0.0256, build_memory: 1115759450.4, f_measure: 0.8218, kappa: 0.8022, kb_relative_information_score: 8138.5517, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.6289, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, build_cpu_time: 0.0281, build_memory: 2529449611.2, f_measure: 0.8218, kappa: 0.8022, kb_relative_information_score: 8138.5517, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.6289, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, build_cpu_time: 0.0205, build_memory: 2409087293.6, f_measure: 0.8218, kappa: 0.8022, kb_relative_information_score: 8138.5517, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.6289, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, build_cpu_time: 0.0248, build_memory: 1055628879.2, f_measure: 0.8218, kappa: 0.8022, kb_relative_information_score: 8138.5517, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.6289, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, build_cpu_time: 0.0168, build_memory: 594052963.2, f_measure: 0.8218, kappa: 0.8022, kb_relative_information_score: 8138.5517, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.6289, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, build_cpu_time: 0.8665, build_memory: 1753386195.2, f_measure: 0.9592, kappa: 0.9547, kb_relative_information_score: 8701.08, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9594, predictive_accuracy: 0.9592, prior_entropy: 3.3219, recall: 0.9592, relative_absolute_error: 0.2414, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.3631, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, build_cpu_time: 0.8425, build_memory: 785626685.6, f_measure: 0.9592, kappa: 0.9547, kb_relative_information_score: 8701.08, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9594, predictive_accuracy: 0.9592, prior_entropy: 3.3219, recall: 0.9592, relative_absolute_error: 0.2414, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.3631, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, build_cpu_time: 0.7969, build_memory: 2519844172, f_measure: 0.9592, kappa: 0.9547, kb_relative_information_score: 8701.08, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9594, predictive_accuracy: 0.9592, prior_entropy: 3.3219, recall: 0.9592, relative_absolute_error: 0.2414, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.3631, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, build_cpu_time: 0.9095, build_memory: 788693491.2, f_measure: 0.9592, kappa: 0.9547, kb_relative_information_score: 8701.08, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9594, predictive_accuracy: 0.9592, prior_entropy: 3.3219, recall: 0.9592, relative_absolute_error: 0.2414, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.3631, scimark_benchmark: 942.3945,

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