Task
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: 0.9959, 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: 0.8129, f_measure: 0.7449, kappa: 0.4503, kb_relative_information_score: 297.9484, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7437, predictive_accuracy: 0.7717, prior_entropy: 1.2149, recall: 0.7717, relative_absolute_error: 0.7195, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.8515, scimark_benchmark: 1925.6457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9836, kappa: 0.9605, kb_relative_information_score: 837.7566, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9844, predictive_accuracy: 0.9844, prior_entropy: 1.2149, recall: 0.9844, relative_absolute_error: 0.0454, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0673, root_relative_squared_error: 0.2606, scimark_benchmark: 1925.6457, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
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: 0.986, f_measure: 0.99, kappa: 0.9749, kb_relative_information_score: 853.2757, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9901, 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: 250, usercpu_time_millis_testing: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.99, kappa: 0.9749, kb_relative_information_score: 846.8608, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9901, predictive_accuracy: 0.99, prior_entropy: 1.2149, recall: 0.99, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2233, scimark_benchmark: 1925.6457, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9524, kappa: 0.8799, kb_relative_information_score: 759.1089, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9531, predictive_accuracy: 0.9532, prior_entropy: 1.2149, recall: 0.9532, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1107, root_relative_squared_error: 0.4286, scimark_benchmark: 1925.6457, usercpu_time_millis: 4280, usercpu_time_millis_testing: 4280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9515, kappa: 0.888, kb_relative_information_score: 643.0635, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9477, predictive_accuracy: 0.9555, prior_entropy: 1.2149, recall: 0.9555, relative_absolute_error: 0.3506, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.4993, scimark_benchmark: 1925.6457, usercpu_time_millis: 1190, usercpu_time_millis_testing: 1190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7782, f_measure: 0.7875, kappa: 0.4684, kb_relative_information_score: 317.0829, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8337, predictive_accuracy: 0.7506, prior_entropy: 1.2149, recall: 0.7506, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2884, root_relative_squared_error: 1.1167, scimark_benchmark: 1925.6457, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9889, kappa: 0.9724, kb_relative_information_score: 852.9031, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9895, predictive_accuracy: 0.9889, prior_entropy: 1.2149, recall: 0.9889, relative_absolute_error: 0.0265, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.057, root_relative_squared_error: 0.2206, scimark_benchmark: 1925.6457, usercpu_time_millis: 1020, usercpu_time_millis_training: 1020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.985, kappa: 0.9633, kb_relative_information_score: 846.9473, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.985, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0376, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0574, root_relative_squared_error: 0.2224, scimark_benchmark: 1925.6457, usercpu_time_millis: 23830, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 23800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.985, kappa: 0.9633, kb_relative_information_score: 846.9473, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.985, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0376, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0574, root_relative_squared_error: 0.2224, scimark_benchmark: 1925.6457, usercpu_time_millis: 46240, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 46180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8587, kappa: 0.6702, kb_relative_information_score: 425.6158, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8909, predictive_accuracy: 0.8898, prior_entropy: 1.2149, recall: 0.8898, relative_absolute_error: 0.6343, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.6632, scimark_benchmark: 1925.6457, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9431, kappa: 0.8605, kb_relative_information_score: 757.3588, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9439, predictive_accuracy: 0.9432, prior_entropy: 1.2149, recall: 0.9432, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.4528, scimark_benchmark: 1925.6457, usercpu_time_millis: 960, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9884, kappa: 0.9719, kb_relative_information_score: 837.8904, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9888, predictive_accuracy: 0.9889, prior_entropy: 1.2149, recall: 0.9889, relative_absolute_error: 0.0548, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.2297, scimark_benchmark: 930.32, usercpu_time_millis: 230, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6587, kb_relative_information_score: 203.0276, mean_absolute_error: 0.0794, 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: 0.5915, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2818, root_relative_squared_error: 1.0915, scimark_benchmark: 929.0255, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9844, kappa: 0.9615, kb_relative_information_score: 822.4387, mean_absolute_error: 0.012, 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: 0.0891, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0666, root_relative_squared_error: 0.2578, scimark_benchmark: 901.0726, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
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: 943.6956, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9922, kappa: 0.9805, kb_relative_information_score: 846.4815, mean_absolute_error: 0.0073, 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: 0.0547, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0487, root_relative_squared_error: 0.1887, scimark_benchmark: 902.4773, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
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: 938.9865, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 938.9865, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9888, kappa: 0.9723, kb_relative_information_score: 847.6895, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 1.2149, recall: 0.9889, relative_absolute_error: 0.0416, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0527, root_relative_squared_error: 0.204, scimark_benchmark: 940.2922, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9921, kappa: 0.9805, kb_relative_information_score: 857.4293, mean_absolute_error: 0.003, 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: 0.0224, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0492, root_relative_squared_error: 0.1904, scimark_benchmark: 902.4773, usercpu_time_millis: 480, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9943, kappa: 0.9861, kb_relative_information_score: 862.4035, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9946, predictive_accuracy: 0.9944, prior_entropy: 1.2149, recall: 0.9944, relative_absolute_error: 0.0161, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0438, root_relative_squared_error: 0.1697, scimark_benchmark: 924.6116, usercpu_time_millis: 800, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9943, kappa: 0.9861, kb_relative_information_score: 862.2854, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9946, predictive_accuracy: 0.9944, prior_entropy: 1.2149, recall: 0.9944, relative_absolute_error: 0.0158, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0442, root_relative_squared_error: 0.171, scimark_benchmark: 924.6116, usercpu_time_millis: 1620, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.712, kappa: 0.2213, kb_relative_information_score: 409.503, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.7762, prior_entropy: 1.2149, recall: 0.7762, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.8502, scimark_benchmark: 933.8635, usercpu_time_millis: 40, 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: 939.7623, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9922, kappa: 0.9805, kb_relative_information_score: 859.7579, mean_absolute_error: 0.0026, 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: 0.0193, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9922, kappa: 0.9805, kb_relative_information_score: 859.7579, mean_absolute_error: 0.0026, 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: 0.0193, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9922, kappa: 0.9805, kb_relative_information_score: 859.7579, mean_absolute_error: 0.0026, 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: 0.0193, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.8843, kappa: 0.7247, kb_relative_information_score: 609.6078, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9334, predictive_accuracy: 0.8653, prior_entropy: 1.2149, recall: 0.8653, relative_absolute_error: 0.3719, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.7921, scimark_benchmark: 1350.9691, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8801, kappa: 0.7173, kb_relative_information_score: 600.7996, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9311, predictive_accuracy: 0.8608, prior_entropy: 1.2149, recall: 0.8608, relative_absolute_error: 0.3823, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.7998, scimark_benchmark: 1358.4523, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9766, kappa: 0.9428, kb_relative_information_score: 821.1566, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9777, predictive_accuracy: 0.9766, prior_entropy: 1.2149, recall: 0.9766, relative_absolute_error: 0.058, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.3419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9766, kappa: 0.9428, kb_relative_information_score: 821.1566, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9777, predictive_accuracy: 0.9766, prior_entropy: 1.2149, recall: 0.9766, relative_absolute_error: 0.058, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.3419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9766, kappa: 0.9428, kb_relative_information_score: 821.1566, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9777, predictive_accuracy: 0.9766, prior_entropy: 1.2149, recall: 0.9766, relative_absolute_error: 0.058, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.3419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9922, kappa: 0.9805, kb_relative_information_score: 859.7579, mean_absolute_error: 0.0026, 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: 0.0193, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9922, kappa: 0.9805, kb_relative_information_score: 859.7579, mean_absolute_error: 0.0026, 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: 0.0193, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9922, kappa: 0.9805, kb_relative_information_score: 859.7579, mean_absolute_error: 0.0026, 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: 0.0193, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9922, kappa: 0.9805, kb_relative_information_score: 859.7579, mean_absolute_error: 0.0026, 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: 0.0193, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9922, kappa: 0.9805, kb_relative_information_score: 859.7579, mean_absolute_error: 0.0026, 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: 0.0193, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9922, kappa: 0.9805, kb_relative_information_score: 859.7579, mean_absolute_error: 0.0026, 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: 0.0193, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9859, kappa: 0.9665, kb_relative_information_score: 835.5136, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9868, predictive_accuracy: 0.9866, prior_entropy: 1.2149, recall: 0.9866, relative_absolute_error: 0.045, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.067, root_relative_squared_error: 0.2596, scimark_benchmark: 1334.8495, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.9575, kappa: 0.8939, kb_relative_information_score: 776.926, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.959, predictive_accuracy: 0.9566, prior_entropy: 1.2149, recall: 0.9566, relative_absolute_error: 0.1124, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.118, root_relative_squared_error: 0.4571, scimark_benchmark: 1386.5717, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.9575, kappa: 0.8939, kb_relative_information_score: 776.926, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.959, predictive_accuracy: 0.9566, prior_entropy: 1.2149, recall: 0.9566, relative_absolute_error: 0.1124, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.118, root_relative_squared_error: 0.4571, scimark_benchmark: 1334.6091, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9878, kappa: 0.9697, kb_relative_information_score: 840.3026, mean_absolute_error: 0.007, 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: 0.0524, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2481, scimark_benchmark: 1292.1375, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9865, kappa: 0.9668, kb_relative_information_score: 829.0746, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9864, predictive_accuracy: 0.9866, prior_entropy: 1.2149, recall: 0.9866, relative_absolute_error: 0.0718, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0625, root_relative_squared_error: 0.242, scimark_benchmark: 1330.8781, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9888, kappa: 0.9723, kb_relative_information_score: 847.6895, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 1.2149, recall: 0.9889, relative_absolute_error: 0.0416, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0527, root_relative_squared_error: 0.204, scimark_benchmark: 1316.8289, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9862, kappa: 0.9663, kb_relative_information_score: 755.4037, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9865, predictive_accuracy: 0.9866, prior_entropy: 1.2149, recall: 0.9866, relative_absolute_error: 0.2246, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.3264, scimark_benchmark: 1321.5205, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9862, kappa: 0.9664, kb_relative_information_score: 843.4113, mean_absolute_error: 0.0043, 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: 0.032, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.061, root_relative_squared_error: 0.2362, scimark_benchmark: 1346.3935, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9834, kappa: 0.9588, kb_relative_information_score: 835.2928, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9847, predictive_accuracy: 0.9833, prior_entropy: 1.2149, recall: 0.9833, relative_absolute_error: 0.0434, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.2914, scimark_benchmark: 961.21, usercpu_time_millis: 1460, usercpu_time_millis_training: 1460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9943, kappa: 0.9861, kb_relative_information_score: 862.4035, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9946, predictive_accuracy: 0.9944, prior_entropy: 1.2149, recall: 0.9944, relative_absolute_error: 0.0161, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0438, root_relative_squared_error: 0.1697, scimark_benchmark: 1331.2332, usercpu_time_millis: 830, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 820,
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: 1151.6869, usercpu_time_millis: 720, usercpu_time_millis_training: 720,

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