OpenML
Supervised Classification on anneal

Supervised Classification on anneal

Task 1 Supervised Classification anneal 950 runs submitted
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  • basic study_1 study_41 study_7 study_73 study_89 test-tagging testtag under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9832, kappa: 0.961, kb_relative_information_score: 822.6564, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9848, predictive_accuracy: 0.9844, prior_entropy: 1.2149, recall: 0.9844, relative_absolute_error: 0.0595, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.273, scimark_benchmark: 1925.6457, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9843, kappa: 0.9636, kb_relative_information_score: 702.0736, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9856, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.2709, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.3628, scimark_benchmark: 1925.6457, usercpu_time_millis: 25220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 25200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9652, kappa: 0.8871, kb_relative_information_score: 360.0107, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9809, predictive_accuracy: 0.9532, prior_entropy: 1.2149, recall: 0.9532, relative_absolute_error: 0.7445, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.6441, scimark_benchmark: 1925.6457, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.8082, kappa: 0.5127, kb_relative_information_score: 368.6063, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7936, predictive_accuracy: 0.8419, prior_entropy: 1.2149, recall: 0.8419, relative_absolute_error: 0.6246, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.7951, scimark_benchmark: 1925.6457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9875, kappa: 0.9692, kb_relative_information_score: 843.0867, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.988, predictive_accuracy: 0.9878, prior_entropy: 1.2149, recall: 0.9878, relative_absolute_error: 0.0304, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0639, root_relative_squared_error: 0.2475, scimark_benchmark: 1925.6457, usercpu_time_millis: 6500, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.9779, kappa: 0.9451, kb_relative_information_score: -681.4619, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9789, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 1.9376, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3564, root_relative_squared_error: 1.3804, scimark_benchmark: 1925.6457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1925.6457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.7504, kappa: 0.5284, kb_relative_information_score: -101.3848, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8774, predictive_accuracy: 0.7227, prior_entropy: 1.2149, recall: 0.7227, relative_absolute_error: 1.2373, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2827, root_relative_squared_error: 1.0948, scimark_benchmark: 1925.6457, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9802, kappa: 0.9547, kb_relative_information_score: 823.0836, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9802, predictive_accuracy: 0.9822, prior_entropy: 1.2149, recall: 0.9822, relative_absolute_error: 0.0674, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0701, root_relative_squared_error: 0.2716, scimark_benchmark: 1925.6457, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9822, kappa: 0.9554, kb_relative_information_score: 836.0688, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9822, predictive_accuracy: 0.9822, prior_entropy: 1.2149, recall: 0.9822, relative_absolute_error: 0.044, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.295, scimark_benchmark: 1925.6457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9835, kappa: 0.9607, kb_relative_information_score: 827.2226, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.983, predictive_accuracy: 0.9844, prior_entropy: 1.2149, recall: 0.9844, relative_absolute_error: 0.0519, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0672, root_relative_squared_error: 0.2604, scimark_benchmark: 1925.6457, usercpu_time_millis: 2000, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9933, kappa: 0.9833, kb_relative_information_score: 857.3241, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 1.2149, recall: 0.9933, relative_absolute_error: 0.0338, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0402, root_relative_squared_error: 0.1557, scimark_benchmark: 1925.6457, usercpu_time_millis: 3860, usercpu_time_millis_training: 3860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.982, kappa: 0.9555, kb_relative_information_score: 812.4841, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9818, predictive_accuracy: 0.9822, prior_entropy: 1.2149, recall: 0.9822, relative_absolute_error: 0.0948, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0743, root_relative_squared_error: 0.2878, scimark_benchmark: 1925.6457, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9862, kappa: 0.9664, kb_relative_information_score: 842.4578, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9867, predictive_accuracy: 0.9866, prior_entropy: 1.2149, recall: 0.9866, relative_absolute_error: 0.0375, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0636, root_relative_squared_error: 0.2462, scimark_benchmark: 1925.6457, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1925.6457, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9911, kappa: 0.9777, kb_relative_information_score: 851.2421, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9911, predictive_accuracy: 0.9911, prior_entropy: 1.2149, recall: 0.9911, relative_absolute_error: 0.0378, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0516, root_relative_squared_error: 0.2, scimark_benchmark: 1925.6457, usercpu_time_millis: 320, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9851, kappa: 0.9636, kb_relative_information_score: 841.2139, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.2512, scimark_benchmark: 1892.7665, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1925.6457, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9832, kappa: 0.9611, kb_relative_information_score: 831.7751, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9847, predictive_accuracy: 0.9844, prior_entropy: 1.2149, recall: 0.9844, relative_absolute_error: 0.0387, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0721, root_relative_squared_error: 0.2792, scimark_benchmark: 1925.6457, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 415.1078, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.4063, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.9046, scimark_benchmark: 1925.6457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9821, kappa: 0.9554, kb_relative_information_score: 831.0417, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9821, predictive_accuracy: 0.9822, prior_entropy: 1.2149, recall: 0.9822, relative_absolute_error: 0.048, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0754, root_relative_squared_error: 0.2922, scimark_benchmark: 1925.6457, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.901, kappa: 0.6744, kb_relative_information_score: 548.9696, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9757, predictive_accuracy: 0.8452, prior_entropy: 1.2149, recall: 0.8452, relative_absolute_error: 0.3842, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.8797, scimark_benchmark: 1925.6457, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9902, kappa: 0.9751, kb_relative_information_score: 855.7318, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9906, predictive_accuracy: 0.99, prior_entropy: 1.2149, recall: 0.99, relative_absolute_error: 0.0249, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0578, root_relative_squared_error: 0.2238, scimark_benchmark: 1925.6457, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9822, kappa: 0.9555, kb_relative_information_score: 833.5891, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9822, predictive_accuracy: 0.9822, prior_entropy: 1.2149, recall: 0.9822, relative_absolute_error: 0.0526, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0701, root_relative_squared_error: 0.2713, scimark_benchmark: 1925.6457, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9889, kappa: 0.9724, kb_relative_information_score: 845.4765, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.989, predictive_accuracy: 0.9889, prior_entropy: 1.2149, recall: 0.9889, relative_absolute_error: 0.0445, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0592, root_relative_squared_error: 0.2294, scimark_benchmark: 1304.9611, usercpu_time_millis: 960, usercpu_time_millis_testing: 840, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7406, f_measure: 0.7109, kappa: 0.3434, kb_relative_information_score: 93.7587, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8269, predictive_accuracy: 0.6314, prior_entropy: 1.2149, recall: 0.6314, relative_absolute_error: 0.9148, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3505, root_relative_squared_error: 1.3575, scimark_benchmark: 1250.8301, usercpu_time_millis: 430, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9725, kappa: 0.9326, kb_relative_information_score: -451.2056, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9731, predictive_accuracy: 0.9733, prior_entropy: 1.2149, recall: 0.9733, relative_absolute_error: 1.6592, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3111, root_relative_squared_error: 1.205, scimark_benchmark: 1321.527, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9896, kappa: 0.9747, kb_relative_information_score: 755.2162, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 1.2149, recall: 0.99, relative_absolute_error: 0.2241, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.3288, scimark_benchmark: 1331.6907, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 220.8146, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.8255, scimark_benchmark: 1372.2145, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9843, kappa: 0.9612, kb_relative_information_score: 830.7466, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9843, predictive_accuracy: 0.9844, prior_entropy: 1.2149, recall: 0.9844, relative_absolute_error: 0.0693, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0637, root_relative_squared_error: 0.2467, scimark_benchmark: 1326.6565, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9632, kappa: 0.9066, kb_relative_information_score: 787.7649, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9682, predictive_accuracy: 0.961, prior_entropy: 1.2149, recall: 0.961, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.382, scimark_benchmark: 1073.494, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.8244, kappa: 0.5178, kb_relative_information_score: 475.198, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8617, predictive_accuracy: 0.8508, prior_entropy: 1.2149, recall: 0.8508, relative_absolute_error: 0.3704, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.223, root_relative_squared_error: 0.8637, scimark_benchmark: 1290.1085, usercpu_time_millis: 920, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8545, f_measure: 0.8901, kappa: 0.7597, kb_relative_information_score: -478.4592, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.869, predictive_accuracy: 0.9165, prior_entropy: 1.2149, recall: 0.9165, relative_absolute_error: 1.6728, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3142, root_relative_squared_error: 1.217, scimark_benchmark: 1297.6599, usercpu_time_millis: 760, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9844, kappa: 0.9615, kb_relative_information_score: 822.8656, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9852, predictive_accuracy: 0.9844, prior_entropy: 1.2149, recall: 0.9844, relative_absolute_error: 0.0881, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0666, root_relative_squared_error: 0.2578, scimark_benchmark: 1465.2979, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9712, kappa: 0.9279, kb_relative_information_score: 806.556, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9714, predictive_accuracy: 0.971, prior_entropy: 1.2149, recall: 0.971, relative_absolute_error: 0.0947, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.082, root_relative_squared_error: 0.3176, scimark_benchmark: 1335.643, usercpu_time_millis: 120, usercpu_time_millis_testing: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9662, kappa: 0.9165, kb_relative_information_score: 791.1398, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9664, predictive_accuracy: 0.9666, prior_entropy: 1.2149, recall: 0.9666, relative_absolute_error: 0.1053, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.098, root_relative_squared_error: 0.3794, scimark_benchmark: 1310.3951, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 220.8146, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.8255, scimark_benchmark: 932.0242, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9698, kappa: 0.9249, kb_relative_information_score: 790.8517, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9699, predictive_accuracy: 0.9699, prior_entropy: 1.2149, recall: 0.9699, relative_absolute_error: 0.124, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.3425, scimark_benchmark: 930.5999, usercpu_time_millis: 310, usercpu_time_millis_testing: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9922, kappa: 0.9805, kb_relative_information_score: 848.5774, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.0463, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0476, root_relative_squared_error: 0.1842, scimark_benchmark: 1321.527, usercpu_time_millis: 890, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 220.8146, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.8255, scimark_benchmark: 942.9518, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 220.8146, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.8255, scimark_benchmark: 1325.2092, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 220.8146, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.8255, scimark_benchmark: 915.9324, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9854, kappa: 0.9641, kb_relative_information_score: 831.1248, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0681, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0613, root_relative_squared_error: 0.2374, scimark_benchmark: 1326.6647, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.9047, kappa: 0.7637, kb_relative_information_score: 0.7363, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.1343, weighted_recall: 0.9076, number_of_instances: 898, precision: 0.9045, predictive_accuracy: 0.9076, prior_entropy: 1.1915, relative_absolute_error: 0.2294, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.9047, kappa: 0.7637, kb_relative_information_score: 0.7363, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.1343, weighted_recall: 0.9076, number_of_instances: 898, precision: 0.9045, predictive_accuracy: 0.9076, prior_entropy: 1.1915, relative_absolute_error: 0.2294, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9853, kappa: 0.9638, kb_relative_information_score: 0.9658, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.1343, weighted_recall: 0.9855, number_of_instances: 898, precision: 0.9857, predictive_accuracy: 0.9855, prior_entropy: 1.1915, relative_absolute_error: 0.0318, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0613, root_relative_squared_error: 0.2376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9932, kappa: 0.9833, kb_relative_information_score: 0.9765, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.1343, weighted_recall: 0.9933, number_of_instances: 898, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 1.1915, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0472, root_relative_squared_error: 0.1828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9932, kappa: 0.9833, kb_relative_information_score: 0.9765, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.1343, weighted_recall: 0.9933, number_of_instances: 898, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 1.1915, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0472, root_relative_squared_error: 0.1828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9896, kappa: 0.9749, kb_relative_information_score: 829.8545, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 1.2149, recall: 0.99, relative_absolute_error: 0.0735, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0604, root_relative_squared_error: 0.2339, scimark_benchmark: 1356.9539, usercpu_time_millis: 950, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 930,

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