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: 0.7008, 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: 0.9921, 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: 0.9953, 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: 0.9885, f_measure: 0.9824, kappa: 0.9575, kb_relative_information_score: 843.6574, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9826, predictive_accuracy: 0.9833, prior_entropy: 1.2149, recall: 0.9833, relative_absolute_error: 0.0427, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0606, root_relative_squared_error: 0.2345, scimark_benchmark: 931.2336, usercpu_time_millis: 341950, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 341630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.8982, kappa: 0.7548, kb_relative_information_score: 663.6863, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9376, predictive_accuracy: 0.8831, prior_entropy: 1.2149, recall: 0.8831, relative_absolute_error: 0.2808, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.6818, scimark_benchmark: 945.6434, usercpu_time_millis: 450, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9338, kappa: 0.8352, kb_relative_information_score: 734.7777, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9485, predictive_accuracy: 0.9276, prior_entropy: 1.2149, recall: 0.9276, relative_absolute_error: 0.1839, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.5794, scimark_benchmark: 942.6953, usercpu_time_millis: 1060, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9476, kappa: 0.8715, kb_relative_information_score: 767.6556, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9543, predictive_accuracy: 0.9454, prior_entropy: 1.2149, recall: 0.9454, relative_absolute_error: 0.136, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1219, root_relative_squared_error: 0.4723, scimark_benchmark: 945.6434, usercpu_time_millis: 1230, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9467, kappa: 0.8692, kb_relative_information_score: 765.7585, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9538, predictive_accuracy: 0.9443, prior_entropy: 1.2149, recall: 0.9443, relative_absolute_error: 0.1459, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.4593, scimark_benchmark: 940.2922, usercpu_time_millis: 1070, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9467, kappa: 0.8692, kb_relative_information_score: 765.7585, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9538, predictive_accuracy: 0.9443, prior_entropy: 1.2149, recall: 0.9443, relative_absolute_error: 0.1459, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.4593, scimark_benchmark: 926.6717, usercpu_time_millis: 1000, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 680,
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: 922.9039, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 938.4278, 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: 934.5243, 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: 939.7623, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 0.9964, 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: 0.9957, 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: 0.9976, 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: 0.9983, 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: 0.9923, 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: 0.4915, 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: 0.9995, 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: 943.6956, 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: 0.5, 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: 0.9852, 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: 0.9761, 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: 0.9591, 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: 0.9909, 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: 0.9909, 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: 0.9968, 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: 0.7782, 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: 0.9832, 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: 0.9848, 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: 0.989, 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: 0.986, 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: 0.9325, 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: 0.4915, 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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9944, kappa: 0.9861, kb_relative_information_score: 864.8129, mean_absolute_error: 0.0019, 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: 0.0143, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0417, root_relative_squared_error: 0.1614, scimark_benchmark: 947.0793, usercpu_time_millis: 2680, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2670,
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: 915.2795, usercpu_time_millis: 1690, usercpu_time_millis_testing: 1540, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.8926, kappa: 0.7681, kb_relative_information_score: -477.7774, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8706, predictive_accuracy: 0.9187, prior_entropy: 1.2149, recall: 0.9187, relative_absolute_error: 1.6725, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3142, root_relative_squared_error: 1.2166, scimark_benchmark: 915.2795, usercpu_time_millis: 960, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9851, kappa: 0.9636, kb_relative_information_score: 836.5624, mean_absolute_error: 0.0048, 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: 0.0359, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0695, root_relative_squared_error: 0.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, build_cpu_time: 4.6947, build_memory: 716213705.9688, f_measure: 0.9923, kappa: 0.9806, kb_relative_information_score: 861.1957, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9924, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.0199, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0511, root_relative_squared_error: 0.1979, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, build_cpu_time: 2.6525, build_memory: 824401740.4543, f_measure: 0.9933, kappa: 0.9833, kb_relative_information_score: 862.6095, mean_absolute_error: 0.0022, 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: 0.0167, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0464, root_relative_squared_error: 0.1797, scimark_benchmark: 943.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, build_cpu_time: 1.425, build_memory: 690215153.4788, f_measure: 0.9934, kappa: 0.9834, kb_relative_information_score: 863.906, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9936, predictive_accuracy: 0.9933, prior_entropy: 1.2149, recall: 0.9933, relative_absolute_error: 0.0158, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0437, root_relative_squared_error: 0.1693, scimark_benchmark: 918.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 0.0843, build_memory: 779274007.5724, f_measure: 0.9966, kappa: 0.9917, kb_relative_information_score: 871.1971, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9968, predictive_accuracy: 0.9967, prior_entropy: 1.2149, recall: 0.9967, relative_absolute_error: 0.0084, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0334, root_relative_squared_error: 0.1292, scimark_benchmark: 935.1201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 0.1178, build_memory: 163959924.8463, f_measure: 0.9967, kappa: 0.9917, kb_relative_information_score: 871.2048, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9968, predictive_accuracy: 0.9967, prior_entropy: 1.2149, recall: 0.9967, relative_absolute_error: 0.0084, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0334, root_relative_squared_error: 0.1292, scimark_benchmark: 945.1987,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 0.5339, build_memory: 73540368.882, f_measure: 0.9966, kappa: 0.9917, kb_relative_information_score: 871.2057, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9968, predictive_accuracy: 0.9967, prior_entropy: 1.2149, recall: 0.9967, relative_absolute_error: 0.0084, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0321, root_relative_squared_error: 0.1242, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 0.4966, build_memory: 767411702.2806, f_measure: 0.9966, kappa: 0.9917, kb_relative_information_score: 871.2057, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9968, predictive_accuracy: 0.9967, prior_entropy: 1.2149, recall: 0.9967, relative_absolute_error: 0.0084, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0321, root_relative_squared_error: 0.1242, scimark_benchmark: 926.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, build_cpu_time: 0.0084, build_memory: 164980616.4009, f_measure: 0.9765, kappa: 0.9412, kb_relative_information_score: 827.9817, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9765, predictive_accuracy: 0.9766, prior_entropy: 1.2149, recall: 0.9766, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.3336, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, build_cpu_time: 0.0066, build_memory: 1647424264.5345, f_measure: 0.9765, kappa: 0.9412, kb_relative_information_score: 827.9817, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9765, predictive_accuracy: 0.9766, prior_entropy: 1.2149, recall: 0.9766, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.3336, scimark_benchmark: 934.6076,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, build_cpu_time: 0.005, build_memory: 818921936.3742, f_measure: 0.9765, kappa: 0.9412, kb_relative_information_score: 827.9817, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9765, predictive_accuracy: 0.9766, prior_entropy: 1.2149, recall: 0.9766, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.3336, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, build_cpu_time: 0.0048, build_memory: 1088894274.1737, f_measure: 0.9765, kappa: 0.9412, kb_relative_information_score: 827.9817, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9765, predictive_accuracy: 0.9766, prior_entropy: 1.2149, recall: 0.9766, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.3336, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, build_cpu_time: 0.1446, build_memory: 1259941008.294, f_measure: 0.9933, kappa: 0.9832, kb_relative_information_score: 835.1355, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 1.2149, recall: 0.9933, relative_absolute_error: 0.0786, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0495, root_relative_squared_error: 0.1917, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, build_cpu_time: 0.1983, build_memory: 2031057463.7862, f_measure: 0.9933, kappa: 0.9832, kb_relative_information_score: 835.1355, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 1.2149, recall: 0.9933, relative_absolute_error: 0.0786, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0495, root_relative_squared_error: 0.1917, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, build_cpu_time: 0.1069, build_memory: 1196040187.3229, f_measure: 0.9933, kappa: 0.9832, kb_relative_information_score: 835.1355, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 1.2149, recall: 0.9933, relative_absolute_error: 0.0786, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0495, root_relative_squared_error: 0.1917, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, build_cpu_time: 0.2118, build_memory: 618562526.8864, f_measure: 0.9933, kappa: 0.9832, kb_relative_information_score: 835.1355, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 1.2149, recall: 0.9933, relative_absolute_error: 0.0786, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0495, root_relative_squared_error: 0.1917, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, build_cpu_time: 0.1971, build_memory: 1161154298.0579, f_measure: 0.9933, kappa: 0.9832, kb_relative_information_score: 835.1355, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 1.2149, recall: 0.9933, relative_absolute_error: 0.0786, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0495, root_relative_squared_error: 0.1917, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, build_cpu_time: 0.0418, build_memory: 659887275.706, f_measure: 0.801, kappa: 0.5021, kb_relative_information_score: 407.4713, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8404, predictive_accuracy: 0.8497, prior_entropy: 1.2149, recall: 0.8497, relative_absolute_error: 0.6597, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.7074, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, build_cpu_time: 0.0255, build_memory: 1365936756.6325, f_measure: 0.801, kappa: 0.5021, kb_relative_information_score: 407.4713, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8404, predictive_accuracy: 0.8497, prior_entropy: 1.2149, recall: 0.8497, relative_absolute_error: 0.6597, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.7074, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, build_cpu_time: 0.0291, build_memory: 1445298133.8886, f_measure: 0.801, kappa: 0.5021, kb_relative_information_score: 407.4713, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8404, predictive_accuracy: 0.8497, prior_entropy: 1.2149, recall: 0.8497, relative_absolute_error: 0.6597, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.7074, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, build_cpu_time: 0.0261, build_memory: 583008750.8775, f_measure: 0.801, kappa: 0.5021, kb_relative_information_score: 407.4713, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8404, predictive_accuracy: 0.8497, prior_entropy: 1.2149, recall: 0.8497, relative_absolute_error: 0.6597, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.7074, scimark_benchmark: 943.5504,

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