Task
Supervised Classification on JapaneseVowels

Supervised Classification on JapaneseVowels

Task 4544 Supervised Classification JapaneseVowels 224 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.961, kappa: 0.8552, kb_relative_information_score: 78570.0843, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9608, predictive_accuracy: 0.9612, prior_entropy: 0.6393, recall: 0.9612, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.4935, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9611, kappa: 0.8557, kb_relative_information_score: 66764.1879, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9609, predictive_accuracy: 0.9613, prior_entropy: 0.6393, recall: 0.9613, relative_absolute_error: 0.3237, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.4862, scimark_benchmark: 972.587, usercpu_time_millis: 1080, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9605, kappa: 0.852, kb_relative_information_score: 72942.7515, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9605, predictive_accuracy: 0.9613, prior_entropy: 0.6393, recall: 0.9613, relative_absolute_error: 0.2535, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.4705, scimark_benchmark: 934.3687, usercpu_time_millis: 2510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7659, f_measure: 0.913, kappa: 0.6516, kb_relative_information_score: 64940.2072, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9275, predictive_accuracy: 0.9228, prior_entropy: 0.6393, recall: 0.9228, relative_absolute_error: 0.2842, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.754, scimark_benchmark: 944.1067, usercpu_time_millis: 9920, usercpu_time_millis_testing: 4170, usercpu_time_millis_training: 5750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7659, f_measure: 0.913, kappa: 0.6516, kb_relative_information_score: 64940.2072, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9275, predictive_accuracy: 0.9228, prior_entropy: 0.6393, recall: 0.9228, relative_absolute_error: 0.2842, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.754, scimark_benchmark: 904.0772, usercpu_time_millis: 21480, usercpu_time_millis_testing: 5060, usercpu_time_millis_training: 16420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9726, kappa: 0.9004, kb_relative_information_score: 84151.6103, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9732, predictive_accuracy: 0.9723, prior_entropy: 0.6393, recall: 0.9723, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.3866, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9808, kappa: 0.9291, kb_relative_information_score: 85645.9858, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9808, predictive_accuracy: 0.9809, prior_entropy: 0.6393, recall: 0.9809, relative_absolute_error: 0.1353, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.329, scimark_benchmark: 938.191, usercpu_time_millis: 980, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9757, kappa: 0.9103, kb_relative_information_score: 86640.461, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9757, predictive_accuracy: 0.9758, prior_entropy: 0.6393, recall: 0.9758, relative_absolute_error: 0.1157, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.39, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9891, kappa: 0.9598, kb_relative_information_score: 88477.0673, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9891, predictive_accuracy: 0.9892, prior_entropy: 0.6393, recall: 0.9892, relative_absolute_error: 0.1201, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.2672, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7659, f_measure: 0.913, kappa: 0.6516, kb_relative_information_score: 64940.2072, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9275, predictive_accuracy: 0.9228, prior_entropy: 0.6393, recall: 0.9228, relative_absolute_error: 0.2842, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.754, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7659, f_measure: 0.913, kappa: 0.6516, kb_relative_information_score: 64940.2072, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9275, predictive_accuracy: 0.9228, prior_entropy: 0.6393, recall: 0.9228, relative_absolute_error: 0.2842, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.754, scimark_benchmark: 932.438, usercpu_time_millis: 15740, usercpu_time_millis_testing: 3770, usercpu_time_millis_training: 11970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9726, kappa: 0.9004, kb_relative_information_score: 84151.6103, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9732, predictive_accuracy: 0.9723, prior_entropy: 0.6393, recall: 0.9723, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.3866, scimark_benchmark: 974.2014, usercpu_time_millis: 310, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9891, kappa: 0.9598, kb_relative_information_score: 88477.0673, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9891, predictive_accuracy: 0.9892, prior_entropy: 0.6393, recall: 0.9892, relative_absolute_error: 0.1201, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.2672, scimark_benchmark: 947.1781, usercpu_time_millis: 3600, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 3240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.961, kappa: 0.8552, kb_relative_information_score: 78570.0843, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9608, predictive_accuracy: 0.9612, prior_entropy: 0.6393, recall: 0.9612, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.4935, scimark_benchmark: 942.2392, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9611, kappa: 0.8557, kb_relative_information_score: 66764.1879, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9609, predictive_accuracy: 0.9613, prior_entropy: 0.6393, recall: 0.9613, relative_absolute_error: 0.3237, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.4862, scimark_benchmark: 901.6243, usercpu_time_millis: 1210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9605, kappa: 0.852, kb_relative_information_score: 72942.7515, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9605, predictive_accuracy: 0.9613, prior_entropy: 0.6393, recall: 0.9613, relative_absolute_error: 0.2535, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.4705, scimark_benchmark: 938.1282, usercpu_time_millis: 2520, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9853, kappa: 0.9458, kb_relative_information_score: 89514.4584, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9853, predictive_accuracy: 0.9854, prior_entropy: 0.6393, recall: 0.9854, relative_absolute_error: 0.0989, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1035, root_relative_squared_error: 0.281, scimark_benchmark: 931.9419, usercpu_time_millis: 3464010, usercpu_time_millis_testing: 16760, usercpu_time_millis_training: 3447250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7659, f_measure: 0.913, kappa: 0.6516, kb_relative_information_score: 64940.2072, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9275, predictive_accuracy: 0.9228, prior_entropy: 0.6393, recall: 0.9228, relative_absolute_error: 0.2842, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.754, scimark_benchmark: 937.5683, usercpu_time_millis: 14170, usercpu_time_millis_testing: 3760, usercpu_time_millis_training: 10410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7659, f_measure: 0.913, kappa: 0.6516, kb_relative_information_score: 64940.2072, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9275, predictive_accuracy: 0.9228, prior_entropy: 0.6393, recall: 0.9228, relative_absolute_error: 0.2842, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.754, scimark_benchmark: 859.5223, usercpu_time_millis: 15950, usercpu_time_millis_testing: 4200, usercpu_time_millis_training: 11750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9601, kappa: 0.8547, kb_relative_information_score: 77671.7138, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9608, predictive_accuracy: 0.9596, prior_entropy: 0.6393, recall: 0.9596, relative_absolute_error: 0.1853, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.4652, scimark_benchmark: 938.1282, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9726, kappa: 0.9004, kb_relative_information_score: 84151.6103, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9732, predictive_accuracy: 0.9723, prior_entropy: 0.6393, recall: 0.9723, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.3866, scimark_benchmark: 930.404, usercpu_time_millis: 140, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9726, kappa: 0.9004, kb_relative_information_score: 84151.6103, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9732, predictive_accuracy: 0.9723, prior_entropy: 0.6393, recall: 0.9723, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.3866, scimark_benchmark: 930.404, usercpu_time_millis: 140, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9726, kappa: 0.9004, kb_relative_information_score: 84151.6103, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9732, predictive_accuracy: 0.9723, prior_entropy: 0.6393, recall: 0.9723, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.3866, scimark_benchmark: 938.1282, usercpu_time_millis: 150, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9808, kappa: 0.9291, kb_relative_information_score: 85645.9858, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9808, predictive_accuracy: 0.9809, prior_entropy: 0.6393, recall: 0.9809, relative_absolute_error: 0.1353, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.329, scimark_benchmark: 930.404, usercpu_time_millis: 700, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9726, kappa: 0.9004, kb_relative_information_score: 84151.6103, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9732, predictive_accuracy: 0.9723, prior_entropy: 0.6393, recall: 0.9723, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.3866, scimark_benchmark: 944.0133, usercpu_time_millis: 160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9757, kappa: 0.9103, kb_relative_information_score: 86640.461, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9757, predictive_accuracy: 0.9758, prior_entropy: 0.6393, recall: 0.9758, relative_absolute_error: 0.1157, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.39, scimark_benchmark: 936.3213, usercpu_time_millis: 6410, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 6370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9891, kappa: 0.9598, kb_relative_information_score: 88477.0673, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9891, predictive_accuracy: 0.9892, prior_entropy: 0.6393, recall: 0.9892, relative_absolute_error: 0.1201, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.2672, scimark_benchmark: 901.4991, usercpu_time_millis: 3640, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 3300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9924, kappa: 0.9718, kb_relative_information_score: 90612.1214, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 0.6393, recall: 0.9924, relative_absolute_error: 0.1033, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.2317, scimark_benchmark: 917.5013, usercpu_time_millis: 106320, usercpu_time_millis_testing: 29000, usercpu_time_millis_training: 77320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9923, kappa: 0.9714, kb_relative_information_score: 90538.1179, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 0.6393, recall: 0.9923, relative_absolute_error: 0.1035, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.2331, scimark_benchmark: 859.5223, usercpu_time_millis: 46960, usercpu_time_millis_testing: 6180, usercpu_time_millis_training: 40780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9918, kappa: 0.9697, kb_relative_information_score: 90430.3997, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9918, predictive_accuracy: 0.9918, prior_entropy: 0.6393, recall: 0.9918, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0873, root_relative_squared_error: 0.237, scimark_benchmark: 934.695, usercpu_time_millis: 20780, usercpu_time_millis_testing: 3050, usercpu_time_millis_training: 17730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9914, kappa: 0.9682, kb_relative_information_score: 90161.85, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9914, predictive_accuracy: 0.9914, prior_entropy: 0.6393, recall: 0.9914, relative_absolute_error: 0.1042, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.2435, scimark_benchmark: 891.6381, usercpu_time_millis: 10660, usercpu_time_millis_testing: 1450, usercpu_time_millis_training: 9210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9903, kappa: 0.964, kb_relative_information_score: 89855.979, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.6393, recall: 0.9903, relative_absolute_error: 0.1027, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.2545, scimark_benchmark: 908.4147, usercpu_time_millis: 5380, usercpu_time_millis_testing: 730, usercpu_time_millis_training: 4650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9392, kappa: 0.7855, kb_relative_information_score: 64309.4671, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9445, predictive_accuracy: 0.9369, prior_entropy: 0.6393, recall: 0.9369, relative_absolute_error: 0.332, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.5823, scimark_benchmark: 941.9549, usercpu_time_millis: 320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9392, kappa: 0.7855, kb_relative_information_score: 64309.4671, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9445, predictive_accuracy: 0.9369, prior_entropy: 0.6393, recall: 0.9369, relative_absolute_error: 0.332, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.5823, scimark_benchmark: 941.9549, usercpu_time_millis: 300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 290,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9601, kappa: 0.8547, kb_relative_information_score: 77671.7138, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9608, predictive_accuracy: 0.9596, prior_entropy: 0.6393, recall: 0.9596, relative_absolute_error: 0.1853, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.4652, scimark_benchmark: 1332.9478, usercpu_time_millis: 150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9726, kappa: 0.9004, kb_relative_information_score: 84151.6103, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9732, predictive_accuracy: 0.9723, prior_entropy: 0.6393, recall: 0.9723, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.3866, scimark_benchmark: 1340.9446, usercpu_time_millis: 180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.961, kappa: 0.8552, kb_relative_information_score: 78570.0843, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9608, predictive_accuracy: 0.9612, prior_entropy: 0.6393, recall: 0.9612, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.4935, scimark_benchmark: 1353.0836, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9726, kappa: 0.9004, kb_relative_information_score: 84151.6103, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9732, predictive_accuracy: 0.9723, prior_entropy: 0.6393, recall: 0.9723, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.3866, scimark_benchmark: 1303.5632, usercpu_time_millis: 120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9726, kappa: 0.9004, kb_relative_information_score: 84151.6103, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9732, predictive_accuracy: 0.9723, prior_entropy: 0.6393, recall: 0.9723, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.3866, scimark_benchmark: 1362.9924, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9601, kappa: 0.8547, kb_relative_information_score: 77671.7138, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9608, predictive_accuracy: 0.9596, prior_entropy: 0.6393, recall: 0.9596, relative_absolute_error: 0.1853, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.4652, scimark_benchmark: 1340.5125, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9726, kappa: 0.9004, kb_relative_information_score: 84151.6103, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9732, predictive_accuracy: 0.9723, prior_entropy: 0.6393, recall: 0.9723, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.3866, scimark_benchmark: 1393.8432, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9808, kappa: 0.9291, kb_relative_information_score: 85645.9858, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9808, predictive_accuracy: 0.9809, prior_entropy: 0.6393, recall: 0.9809, relative_absolute_error: 0.1353, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.329, scimark_benchmark: 1347.6543, usercpu_time_millis: 660, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7659, f_measure: 0.913, kappa: 0.6516, kb_relative_information_score: 64940.2072, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9275, predictive_accuracy: 0.9228, prior_entropy: 0.6393, recall: 0.9228, relative_absolute_error: 0.2842, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.754, scimark_benchmark: 930.5999, usercpu_time_millis: 12870, usercpu_time_millis_testing: 3760, usercpu_time_millis_training: 9110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9726, kappa: 0.9004, kb_relative_information_score: 84151.6103, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9732, predictive_accuracy: 0.9723, prior_entropy: 0.6393, recall: 0.9723, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.3866, scimark_benchmark: 930.5999, usercpu_time_millis: 130, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 80,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.961, kappa: 0.8552, kb_relative_information_score: 78570.0843, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9608, predictive_accuracy: 0.9612, prior_entropy: 0.6393, recall: 0.9612, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.4935, scimark_benchmark: 1313.8988, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9601, kappa: 0.8547, kb_relative_information_score: 77671.7138, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9608, predictive_accuracy: 0.9596, prior_entropy: 0.6393, recall: 0.9596, relative_absolute_error: 0.1853, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.4652, scimark_benchmark: 1317.5857, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9726, kappa: 0.9004, kb_relative_information_score: 84151.6103, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9732, predictive_accuracy: 0.9723, prior_entropy: 0.6393, recall: 0.9723, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.3866, scimark_benchmark: 1321.8321, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9726, kappa: 0.9004, kb_relative_information_score: 84151.6103, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9732, predictive_accuracy: 0.9723, prior_entropy: 0.6393, recall: 0.9723, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.3866, scimark_benchmark: 1316.6799, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.961, kappa: 0.8552, kb_relative_information_score: 78570.0843, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9608, predictive_accuracy: 0.9612, prior_entropy: 0.6393, recall: 0.9612, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.4935, scimark_benchmark: 1306.9281, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9726, kappa: 0.9004, kb_relative_information_score: 84151.6103, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9732, predictive_accuracy: 0.9723, prior_entropy: 0.6393, recall: 0.9723, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.3866, scimark_benchmark: 1313.11, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9726, kappa: 0.9004, kb_relative_information_score: 84151.6103, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9732, predictive_accuracy: 0.9723, prior_entropy: 0.6393, recall: 0.9723, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.3866, scimark_benchmark: 1332.9478, usercpu_time_millis: 170, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9808, kappa: 0.9291, kb_relative_information_score: 85645.9858, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9808, predictive_accuracy: 0.9809, prior_entropy: 0.6393, recall: 0.9809, relative_absolute_error: 0.1353, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.329, scimark_benchmark: 1342.2845, usercpu_time_millis: 780, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9757, kappa: 0.9103, kb_relative_information_score: 86640.461, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.2716, number_of_instances: 99610, precision: 0.9757, predictive_accuracy: 0.9758, prior_entropy: 0.6393, recall: 0.9758, relative_absolute_error: 0.1157, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.39, scimark_benchmark: 1332.9478, usercpu_time_millis: 6960, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 6880,

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