Task
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 4539 Supervised Classification mfeat-fourier 205 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9907, kappa: 0.948, kb_relative_information_score: 18400.5177, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 0.4703, recall: 0.9907, relative_absolute_error: 0.0667, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0952, root_relative_squared_error: 0.3175, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9965, kappa: 0.9807, kb_relative_information_score: 19258.2311, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9965, predictive_accuracy: 0.9966, prior_entropy: 0.4703, recall: 0.9966, relative_absolute_error: 0.0327, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.1717, scimark_benchmark: 972.587, usercpu_time_millis: 650, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9964, kappa: 0.9799, kb_relative_information_score: 18857.2702, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.4703, recall: 0.9964, relative_absolute_error: 0.0639, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1796, scimark_benchmark: 934.3687, usercpu_time_millis: 2030, usercpu_time_millis_training: 2030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.9868, kappa: 0.9246, kb_relative_information_score: 18057.8861, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9874, predictive_accuracy: 0.9872, prior_entropy: 0.4703, recall: 0.9872, relative_absolute_error: 0.071, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.3771, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.9868, kappa: 0.9246, kb_relative_information_score: 18057.8861, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9874, predictive_accuracy: 0.9872, prior_entropy: 0.4703, recall: 0.9872, relative_absolute_error: 0.071, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.3771, scimark_benchmark: 931.771, usercpu_time_millis: 2730, usercpu_time_millis_testing: 1100, usercpu_time_millis_training: 1630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9978, kappa: 0.9877, kb_relative_information_score: 19600.3923, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.4703, recall: 0.9978, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1543, scimark_benchmark: 938.191, usercpu_time_millis: 300, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9922, kappa: 0.9563, kb_relative_information_score: 18209.1238, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9922, predictive_accuracy: 0.9923, prior_entropy: 0.4703, recall: 0.9923, relative_absolute_error: 0.0777, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.2481, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 19585.9163, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.034, root_relative_squared_error: 0.1132, scimark_benchmark: 926.576, usercpu_time_millis: 54780, usercpu_time_millis_testing: 2490, usercpu_time_millis_training: 52290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9966, kappa: 0.9808, kb_relative_information_score: 19401.784, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.4703, recall: 0.9966, relative_absolute_error: 0.0237, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1886, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.9868, kappa: 0.9246, kb_relative_information_score: 18057.8861, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9874, predictive_accuracy: 0.9872, prior_entropy: 0.4703, recall: 0.9872, relative_absolute_error: 0.071, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.3771, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.9868, kappa: 0.9246, kb_relative_information_score: 18057.8861, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9874, predictive_accuracy: 0.9872, prior_entropy: 0.4703, recall: 0.9872, relative_absolute_error: 0.071, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.3771, scimark_benchmark: 932.438, usercpu_time_millis: 2030, usercpu_time_millis_testing: 620, usercpu_time_millis_training: 1410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9978, kappa: 0.9877, kb_relative_information_score: 19600.3923, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.4703, recall: 0.9978, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1543, scimark_benchmark: 941.3847, usercpu_time_millis: 230, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9797, kb_relative_information_score: 18599.1015, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.4703, recall: 0.9964, relative_absolute_error: 0.0917, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0601, root_relative_squared_error: 0.2002, scimark_benchmark: 947.1781, usercpu_time_millis: 620, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9907, kappa: 0.948, kb_relative_information_score: 18400.5177, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 0.4703, recall: 0.9907, relative_absolute_error: 0.0667, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0952, root_relative_squared_error: 0.3175, scimark_benchmark: 942.2392, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9965, kappa: 0.9807, kb_relative_information_score: 19258.2311, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9965, predictive_accuracy: 0.9966, prior_entropy: 0.4703, recall: 0.9966, relative_absolute_error: 0.0327, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.1717, scimark_benchmark: 908.9569, usercpu_time_millis: 620, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9964, kappa: 0.9799, kb_relative_information_score: 18857.2702, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.4703, recall: 0.9964, relative_absolute_error: 0.0639, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1796, scimark_benchmark: 938.1282, usercpu_time_millis: 2080, usercpu_time_millis_training: 2080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.9868, kappa: 0.9246, kb_relative_information_score: 18057.8861, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9874, predictive_accuracy: 0.9872, prior_entropy: 0.4703, recall: 0.9872, relative_absolute_error: 0.071, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.3771, scimark_benchmark: 940.1221, usercpu_time_millis: 3170, usercpu_time_millis_testing: 1100, usercpu_time_millis_training: 2070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.9868, kappa: 0.9246, kb_relative_information_score: 18057.8861, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9874, predictive_accuracy: 0.9872, prior_entropy: 0.4703, recall: 0.9872, relative_absolute_error: 0.071, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.3771, scimark_benchmark: 730.6551, usercpu_time_millis: 3160, usercpu_time_millis_testing: 1360, usercpu_time_millis_training: 1800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9978, kappa: 0.9877, kb_relative_information_score: 19600.3923, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.4703, recall: 0.9978, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1543, scimark_benchmark: 930.404, usercpu_time_millis: 270, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9978, kappa: 0.9877, kb_relative_information_score: 19600.3923, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.4703, recall: 0.9978, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1543, scimark_benchmark: 941.4991, usercpu_time_millis: 260, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9922, kappa: 0.9563, kb_relative_information_score: 18209.1238, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9922, predictive_accuracy: 0.9923, prior_entropy: 0.4703, recall: 0.9923, relative_absolute_error: 0.0777, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.2481, scimark_benchmark: 903.2737, usercpu_time_millis: 490, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9978, kappa: 0.9877, kb_relative_information_score: 19600.3923, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.4703, recall: 0.9978, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1543, scimark_benchmark: 936.9595, usercpu_time_millis: 280, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9966, kappa: 0.9808, kb_relative_information_score: 19401.784, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.4703, recall: 0.9966, relative_absolute_error: 0.0237, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1886, scimark_benchmark: 945.6228, usercpu_time_millis: 10500, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9797, kb_relative_information_score: 18599.1015, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.4703, recall: 0.9964, relative_absolute_error: 0.0917, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0601, root_relative_squared_error: 0.2002, scimark_benchmark: 938.988, usercpu_time_millis: 720, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9984, kappa: 0.991, kb_relative_information_score: 19239.0647, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9984, predictive_accuracy: 0.9984, prior_entropy: 0.4703, recall: 0.9984, relative_absolute_error: 0.0494, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0402, root_relative_squared_error: 0.1341, scimark_benchmark: 908.9569, usercpu_time_millis: 105210, usercpu_time_millis_testing: 47030, usercpu_time_millis_training: 58180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9919, kb_relative_information_score: 19244.422, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.4703, recall: 0.9986, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0399, root_relative_squared_error: 0.1329, scimark_benchmark: 945.6228, usercpu_time_millis: 41190, usercpu_time_millis_testing: 18440, usercpu_time_millis_training: 22750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9986, kappa: 0.9922, kb_relative_information_score: 19233.6078, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.4703, recall: 0.9986, relative_absolute_error: 0.0492, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0411, root_relative_squared_error: 0.1368, scimark_benchmark: 943.6618, usercpu_time_millis: 20250, usercpu_time_millis_testing: 8660, usercpu_time_millis_training: 11590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9984, kappa: 0.991, kb_relative_information_score: 19191.4891, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9984, predictive_accuracy: 0.9984, prior_entropy: 0.4703, recall: 0.9984, relative_absolute_error: 0.0495, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0423, root_relative_squared_error: 0.141, scimark_benchmark: 939.3535, usercpu_time_millis: 9460, usercpu_time_millis_testing: 3520, usercpu_time_millis_training: 5940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9977, kappa: 0.9874, kb_relative_information_score: 19149.7947, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.4703, recall: 0.9978, relative_absolute_error: 0.0497, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0462, root_relative_squared_error: 0.154, scimark_benchmark: 921.466, usercpu_time_millis: 4000, usercpu_time_millis_testing: 880, usercpu_time_millis_training: 3120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9979, kappa: 0.9883, kb_relative_information_score: 19643.914, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.4703, recall: 0.9979, relative_absolute_error: 0.0118, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0436, root_relative_squared_error: 0.1453, scimark_benchmark: 936.1714, usercpu_time_millis: 3580, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9979, kappa: 0.9883, kb_relative_information_score: 19643.914, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.4703, recall: 0.9979, relative_absolute_error: 0.0118, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0436, root_relative_squared_error: 0.1453, scimark_benchmark: 938.3115, usercpu_time_millis: 3610, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.998, kappa: 0.9891, kb_relative_information_score: 19658.0778, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.998, predictive_accuracy: 0.9981, prior_entropy: 0.4703, recall: 0.9981, relative_absolute_error: 0.0112, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0423, root_relative_squared_error: 0.1411, scimark_benchmark: 929.0296, usercpu_time_millis: 2560, usercpu_time_millis_training: 2560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9974, kappa: 0.9857, kb_relative_information_score: 19586.5197, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9974, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.014, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0467, root_relative_squared_error: 0.1558, scimark_benchmark: 941.9549, usercpu_time_millis: 1200, usercpu_time_millis_training: 1200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9967, kappa: 0.9816, kb_relative_information_score: 19472.4893, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 0.4703, recall: 0.9967, relative_absolute_error: 0.0186, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0529, root_relative_squared_error: 0.1763, scimark_benchmark: 929.0296, usercpu_time_millis: 630, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.9772, kappa: 0.874, kb_relative_information_score: -778.1165, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9773, predictive_accuracy: 0.9771, prior_entropy: 0.4703, recall: 0.9771, relative_absolute_error: 0.8022, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.181, root_relative_squared_error: 0.6033, scimark_benchmark: 929.0296, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9979, kappa: 0.9882, kb_relative_information_score: 19647.4964, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.4703, recall: 0.9979, relative_absolute_error: 0.0115, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0447, root_relative_squared_error: 0.1491, scimark_benchmark: 936.1714, usercpu_time_millis: 4830, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4820,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9928, kappa: 0.9598, kb_relative_information_score: 18828.9351, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9928, predictive_accuracy: 0.9929, prior_entropy: 0.4703, recall: 0.9929, relative_absolute_error: 0.042, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.2661, scimark_benchmark: 1333.202, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9978, kappa: 0.9877, kb_relative_information_score: 19600.3923, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.4703, recall: 0.9978, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1543, scimark_benchmark: 1317.5857, usercpu_time_millis: 200, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9978, kappa: 0.9877, kb_relative_information_score: 19600.3923, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.4703, recall: 0.9978, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1543, scimark_benchmark: 1317.5857, usercpu_time_millis: 200, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9978, kappa: 0.9877, kb_relative_information_score: 19600.3923, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.4703, recall: 0.9978, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1543, scimark_benchmark: 1333.202, usercpu_time_millis: 180, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9966, kappa: 0.9808, kb_relative_information_score: 19401.784, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.4703, recall: 0.9966, relative_absolute_error: 0.0237, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1886, scimark_benchmark: 1317.2327, usercpu_time_millis: 13110, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 13030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9907, kappa: 0.948, kb_relative_information_score: 18400.5177, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 0.4703, recall: 0.9907, relative_absolute_error: 0.0667, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0952, root_relative_squared_error: 0.3175, scimark_benchmark: 1310.3168, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9978, kappa: 0.9877, kb_relative_information_score: 19600.3923, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.4703, recall: 0.9978, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1543, scimark_benchmark: 1324.7884, usercpu_time_millis: 190, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9978, kappa: 0.9877, kb_relative_information_score: 19600.3923, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.4703, recall: 0.9978, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1543, scimark_benchmark: 1316.5668, usercpu_time_millis: 200, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9922, kappa: 0.9563, kb_relative_information_score: 18209.1238, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9922, predictive_accuracy: 0.9923, prior_entropy: 0.4703, recall: 0.9923, relative_absolute_error: 0.0777, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.2481, scimark_benchmark: 1316.5668, usercpu_time_millis: 410, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 19585.9163, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.034, root_relative_squared_error: 0.1132, scimark_benchmark: 1313.9976, usercpu_time_millis: 26130, usercpu_time_millis_testing: 1880, usercpu_time_millis_training: 24250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9978, kappa: 0.9877, kb_relative_information_score: 19600.3923, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.4703, recall: 0.9978, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1543, scimark_benchmark: 1343.3311, usercpu_time_millis: 180, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9978, kappa: 0.9877, kb_relative_information_score: 19600.3923, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.4703, recall: 0.9978, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1543, scimark_benchmark: 1325.8468, usercpu_time_millis: 170, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9978, kappa: 0.9877, kb_relative_information_score: 19600.3923, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.4703, recall: 0.9978, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1543, scimark_benchmark: 1346.4374, usercpu_time_millis: 180, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9978, kappa: 0.9877, kb_relative_information_score: 19600.3923, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.4703, recall: 0.9978, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1543, scimark_benchmark: 1333.0982, usercpu_time_millis: 190, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9978, kappa: 0.9877, kb_relative_information_score: 19600.3923, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.4703, recall: 0.9978, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1543, scimark_benchmark: 1333.0982, usercpu_time_millis: 180, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9978, kappa: 0.9877, kb_relative_information_score: 19600.3923, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.4703, recall: 0.9978, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1543, scimark_benchmark: 1337.3324, usercpu_time_millis: 190, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9966, kappa: 0.9808, kb_relative_information_score: 19401.784, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.4703, recall: 0.9966, relative_absolute_error: 0.0237, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1886, scimark_benchmark: 1317.6232, usercpu_time_millis: 11570, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 11490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9797, kb_relative_information_score: 18599.1015, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.4703, recall: 0.9964, relative_absolute_error: 0.0917, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0601, root_relative_squared_error: 0.2002, scimark_benchmark: 1335.5309, usercpu_time_millis: 540, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9965, kappa: 0.9807, kb_relative_information_score: 19258.2311, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9965, predictive_accuracy: 0.9966, prior_entropy: 0.4703, recall: 0.9966, relative_absolute_error: 0.0327, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.1717, scimark_benchmark: 1346.0226, usercpu_time_millis: 470, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9964, kappa: 0.9799, kb_relative_information_score: 18857.2702, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.4703, recall: 0.9964, relative_absolute_error: 0.0639, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1796, scimark_benchmark: 1321.8132, usercpu_time_millis: 1580, usercpu_time_millis_training: 1580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.9868, kappa: 0.9246, kb_relative_information_score: 18057.8861, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9874, predictive_accuracy: 0.9872, prior_entropy: 0.4703, recall: 0.9872, relative_absolute_error: 0.071, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.3771, scimark_benchmark: 1354.4815, usercpu_time_millis: 4070, usercpu_time_millis_testing: 620, usercpu_time_millis_training: 3450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9978, kappa: 0.9877, kb_relative_information_score: 19600.3923, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.4703, recall: 0.9978, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1543, scimark_benchmark: 1314.1215, usercpu_time_millis: 150, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9922, kappa: 0.9563, kb_relative_information_score: 18209.1238, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9922, predictive_accuracy: 0.9923, prior_entropy: 0.4703, recall: 0.9923, relative_absolute_error: 0.0777, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.2481, scimark_benchmark: 1303.9481, usercpu_time_millis: 430, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.9868, kappa: 0.9246, kb_relative_information_score: 18057.8861, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9874, predictive_accuracy: 0.9872, prior_entropy: 0.4703, recall: 0.9872, relative_absolute_error: 0.071, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.3771, scimark_benchmark: 1354.3488, usercpu_time_millis: 2470, usercpu_time_millis_testing: 690, usercpu_time_millis_training: 1780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9978, kappa: 0.9877, kb_relative_information_score: 19600.3923, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.4703, recall: 0.9978, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1543, scimark_benchmark: 1347.993, usercpu_time_millis: 210, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9966, kappa: 0.9808, kb_relative_information_score: 19401.784, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.4703, recall: 0.9966, relative_absolute_error: 0.0237, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1886, scimark_benchmark: 1344.4042, usercpu_time_millis: 13260, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 13180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9797, kb_relative_information_score: 18599.1015, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.4703, recall: 0.9964, relative_absolute_error: 0.0917, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0601, root_relative_squared_error: 0.2002, scimark_benchmark: 942.9708, usercpu_time_millis: 650, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9978, kappa: 0.9877, kb_relative_information_score: 19600.3923, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.4703, recall: 0.9978, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1543, scimark_benchmark: 1341.5795, usercpu_time_millis: 170, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 80,

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