Task
Supervised Classification on kr-vs-kp

Supervised Classification on kr-vs-kp

Task 1883 Supervised Classification kr-vs-kp 207 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9942, kappa: 0.9884, kb_relative_information_score: 31428.5181, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 0.9986, recall: 0.9942, relative_absolute_error: 0.0184, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.1508, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9567, kappa: 0.9134, kb_relative_information_score: 25741.255, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9571, predictive_accuracy: 0.9567, prior_entropy: 0.9986, recall: 0.9567, relative_absolute_error: 0.2207, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.382, scimark_benchmark: 972.587, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.963, kappa: 0.9259, kb_relative_information_score: 26467.4022, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9637, predictive_accuracy: 0.963, prior_entropy: 0.9986, recall: 0.963, relative_absolute_error: 0.2007, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.3697, scimark_benchmark: 851.2074, usercpu_time_millis: 470, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.9386, kappa: 0.8768, kb_relative_information_score: 28028.7696, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9397, predictive_accuracy: 0.9387, prior_entropy: 0.9986, recall: 0.9387, relative_absolute_error: 0.1229, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.4958, scimark_benchmark: 941.3142, usercpu_time_millis: 5480, usercpu_time_millis_testing: 1730, usercpu_time_millis_training: 3750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9133, kappa: 0.8262, kb_relative_information_score: 21422.0305, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9144, predictive_accuracy: 0.9135, prior_entropy: 0.9986, recall: 0.9135, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.5331, scimark_benchmark: 941.6675, usercpu_time_millis: 90, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9133, kappa: 0.8262, kb_relative_information_score: 21422.0305, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9144, predictive_accuracy: 0.9135, prior_entropy: 0.9986, recall: 0.9135, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.5331, scimark_benchmark: 941.6675, usercpu_time_millis: 90, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9906, kappa: 0.9811, kb_relative_information_score: 30959.6952, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9906, predictive_accuracy: 0.9906, prior_entropy: 0.9986, recall: 0.9906, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0876, root_relative_squared_error: 0.1753, scimark_benchmark: 941.6675, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9133, kappa: 0.8262, kb_relative_information_score: 21422.0305, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9144, predictive_accuracy: 0.9135, prior_entropy: 0.9986, recall: 0.9135, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.5331, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9923, kappa: 0.9845, kb_relative_information_score: 29101.7571, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 0.9986, recall: 0.9923, relative_absolute_error: 0.1098, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1072, root_relative_squared_error: 0.2145, scimark_benchmark: 931.771, usercpu_time_millis: 610, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.9386, kappa: 0.8768, kb_relative_information_score: 28028.7696, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9397, predictive_accuracy: 0.9387, prior_entropy: 0.9986, recall: 0.9387, relative_absolute_error: 0.1229, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.4958, scimark_benchmark: 974.2014, usercpu_time_millis: 9650, usercpu_time_millis_testing: 3330, usercpu_time_millis_training: 6320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9802, kappa: 0.9603, kb_relative_information_score: 29860.598, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9802, predictive_accuracy: 0.9802, prior_entropy: 0.9986, recall: 0.9802, relative_absolute_error: 0.0719, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.2626, scimark_benchmark: 943.1009, usercpu_time_millis: 8090, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 8070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9923, kappa: 0.9845, kb_relative_information_score: 29101.7571, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 0.9986, recall: 0.9923, relative_absolute_error: 0.1098, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1072, root_relative_squared_error: 0.2145, scimark_benchmark: 943.1009, usercpu_time_millis: 640, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9942, kappa: 0.9884, kb_relative_information_score: 31428.5181, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 0.9986, recall: 0.9942, relative_absolute_error: 0.0184, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.1508, scimark_benchmark: 819.5729, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9567, kappa: 0.9134, kb_relative_information_score: 25741.255, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9571, predictive_accuracy: 0.9567, prior_entropy: 0.9986, recall: 0.9567, relative_absolute_error: 0.2207, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.382, scimark_benchmark: 935.2002, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.963, kappa: 0.9259, kb_relative_information_score: 26467.4022, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9637, predictive_accuracy: 0.963, prior_entropy: 0.9986, recall: 0.963, relative_absolute_error: 0.2007, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.3697, scimark_benchmark: 936.2574, usercpu_time_millis: 590, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.9386, kappa: 0.8768, kb_relative_information_score: 28028.7696, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9397, predictive_accuracy: 0.9387, prior_entropy: 0.9986, recall: 0.9387, relative_absolute_error: 0.1229, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.4958, scimark_benchmark: 932.438, usercpu_time_millis: 4810, usercpu_time_millis_testing: 1590, usercpu_time_millis_training: 3220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.9386, kappa: 0.8768, kb_relative_information_score: 28028.7696, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9397, predictive_accuracy: 0.9387, prior_entropy: 0.9986, recall: 0.9387, relative_absolute_error: 0.1229, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.4958, scimark_benchmark: 930.404, usercpu_time_millis: 5560, usercpu_time_millis_testing: 1800, usercpu_time_millis_training: 3760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9133, kappa: 0.8262, kb_relative_information_score: 21422.0305, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9144, predictive_accuracy: 0.9135, prior_entropy: 0.9986, recall: 0.9135, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.5331, scimark_benchmark: 903.2737, usercpu_time_millis: 90, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9906, kappa: 0.9811, kb_relative_information_score: 30959.6952, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9906, predictive_accuracy: 0.9906, prior_entropy: 0.9986, recall: 0.9906, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0876, root_relative_squared_error: 0.1753, scimark_benchmark: 933.3455, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9133, kappa: 0.8262, kb_relative_information_score: 21422.0305, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9144, predictive_accuracy: 0.9135, prior_entropy: 0.9986, recall: 0.9135, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.5331, scimark_benchmark: 945.6228, usercpu_time_millis: 80, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9923, kappa: 0.9845, kb_relative_information_score: 29101.7571, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 0.9986, recall: 0.9923, relative_absolute_error: 0.1098, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1072, root_relative_squared_error: 0.2145, scimark_benchmark: 1051.249, usercpu_time_millis: 680, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9948, kappa: 0.9897, kb_relative_information_score: 29376.3749, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9948, predictive_accuracy: 0.9948, prior_entropy: 0.9986, recall: 0.9948, relative_absolute_error: 0.099, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1055, root_relative_squared_error: 0.2113, scimark_benchmark: 919.9068, usercpu_time_millis: 85310, usercpu_time_millis_testing: 39940, usercpu_time_millis_training: 45370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9951, kappa: 0.9902, kb_relative_information_score: 29500.8071, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9951, predictive_accuracy: 0.9951, prior_entropy: 0.9986, recall: 0.9951, relative_absolute_error: 0.0946, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1021, root_relative_squared_error: 0.2044, scimark_benchmark: 926.5462, usercpu_time_millis: 32650, usercpu_time_millis_testing: 12310, usercpu_time_millis_training: 20340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9948, kappa: 0.9897, kb_relative_information_score: 29387.3325, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9948, predictive_accuracy: 0.9948, prior_entropy: 0.9986, recall: 0.9948, relative_absolute_error: 0.0983, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.2126, scimark_benchmark: 944.235, usercpu_time_millis: 15880, usercpu_time_millis_testing: 4330, usercpu_time_millis_training: 11550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9931, kappa: 0.9863, kb_relative_information_score: 29267.541, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.9986, recall: 0.9931, relative_absolute_error: 0.1018, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.2229, scimark_benchmark: 899.0468, usercpu_time_millis: 6300, usercpu_time_millis_testing: 1310, usercpu_time_millis_training: 4990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9918, kappa: 0.9836, kb_relative_information_score: 29515.2347, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9918, predictive_accuracy: 0.9918, prior_entropy: 0.9986, recall: 0.9918, relative_absolute_error: 0.0919, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.108, root_relative_squared_error: 0.2161, scimark_benchmark: 889.4922, usercpu_time_millis: 3250, usercpu_time_millis_testing: 650, usercpu_time_millis_training: 2600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9464, kappa: 0.8925, kb_relative_information_score: 27334.2179, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9467, predictive_accuracy: 0.9464, prior_entropy: 0.9986, recall: 0.9464, relative_absolute_error: 0.1564, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.378, scimark_benchmark: 929.0296, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9464, kappa: 0.8925, kb_relative_information_score: 27334.2179, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9467, predictive_accuracy: 0.9464, prior_entropy: 0.9986, recall: 0.9464, relative_absolute_error: 0.1564, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.378, scimark_benchmark: 926.5859, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9464, kappa: 0.8925, kb_relative_information_score: 27334.2179, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9467, predictive_accuracy: 0.9464, prior_entropy: 0.9986, recall: 0.9464, relative_absolute_error: 0.1564, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.378, scimark_benchmark: 894.7131, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9459, kappa: 0.8915, kb_relative_information_score: 27086.3075, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9462, predictive_accuracy: 0.9459, prior_entropy: 0.9986, recall: 0.9459, relative_absolute_error: 0.1655, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.384, scimark_benchmark: 929.0296, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9401, kappa: 0.8798, kb_relative_information_score: 25981.9308, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9414, predictive_accuracy: 0.9402, prior_entropy: 0.9986, recall: 0.9402, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.4198, scimark_benchmark: 894.7131, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.8677, kappa: 0.7347, kb_relative_information_score: 15535.4236, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.869, predictive_accuracy: 0.868, prior_entropy: 0.9986, recall: 0.868, relative_absolute_error: 0.5659, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.6824, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9463, kappa: 0.8923, kb_relative_information_score: 28463.3194, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9467, predictive_accuracy: 0.9463, prior_entropy: 0.9986, recall: 0.9463, relative_absolute_error: 0.1102, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.4188, scimark_benchmark: 936.1714, usercpu_time_millis: 810, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9392, kappa: 0.8781, kb_relative_information_score: 27972.8237, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9406, predictive_accuracy: 0.9393, prior_entropy: 0.9986, recall: 0.9393, relative_absolute_error: 0.1267, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.4333, scimark_benchmark: 938.3115, usercpu_time_millis: 370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9387, kappa: 0.8772, kb_relative_information_score: 27348.5009, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9398, predictive_accuracy: 0.9388, prior_entropy: 0.9986, recall: 0.9388, relative_absolute_error: 0.1517, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.4492, scimark_benchmark: 940.0055, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.6233, kappa: 0.3396, kb_relative_information_score: 11076.093, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.8015, predictive_accuracy: 0.6605, prior_entropy: 0.9986, recall: 0.6605, relative_absolute_error: 0.6471, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4716, root_relative_squared_error: 0.9442, scimark_benchmark: 935.6052, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.8776, kappa: 0.7546, kb_relative_information_score: 19523.4622, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.8778, predictive_accuracy: 0.8777, prior_entropy: 0.9986, recall: 0.8777, relative_absolute_error: 0.417, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.6056, scimark_benchmark: 1350.2591, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9133, kappa: 0.8262, kb_relative_information_score: 21422.0305, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9144, predictive_accuracy: 0.9135, prior_entropy: 0.9986, recall: 0.9135, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.5331, scimark_benchmark: 1317.5857, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9133, kappa: 0.8262, kb_relative_information_score: 21422.0305, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9144, predictive_accuracy: 0.9135, prior_entropy: 0.9986, recall: 0.9135, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.5331, scimark_benchmark: 1350.2591, usercpu_time_millis: 70, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9133, kappa: 0.8262, kb_relative_information_score: 21422.0305, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9144, predictive_accuracy: 0.9135, prior_entropy: 0.9986, recall: 0.9135, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.5331, scimark_benchmark: 1318.4315, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9133, kappa: 0.8262, kb_relative_information_score: 21422.0305, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9144, predictive_accuracy: 0.9135, prior_entropy: 0.9986, recall: 0.9135, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.5331, scimark_benchmark: 1321.8321, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9133, kappa: 0.8262, kb_relative_information_score: 21422.0305, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9144, predictive_accuracy: 0.9135, prior_entropy: 0.9986, recall: 0.9135, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.5331, scimark_benchmark: 1347.1763, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9906, kappa: 0.9811, kb_relative_information_score: 30959.6952, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9906, predictive_accuracy: 0.9906, prior_entropy: 0.9986, recall: 0.9906, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0876, root_relative_squared_error: 0.1753, scimark_benchmark: 1337.9552, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9915, kappa: 0.983, kb_relative_information_score: 30006.4098, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9915, predictive_accuracy: 0.9915, prior_entropy: 0.9986, recall: 0.9915, relative_absolute_error: 0.0735, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0972, root_relative_squared_error: 0.1946, scimark_benchmark: 1336.5541, usercpu_time_millis: 331030, usercpu_time_millis_testing: 2970, usercpu_time_millis_training: 328060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9923, kappa: 0.9845, kb_relative_information_score: 29101.7571, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 0.9986, recall: 0.9923, relative_absolute_error: 0.1098, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1072, root_relative_squared_error: 0.2145, scimark_benchmark: 1324.6442, usercpu_time_millis: 490, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9567, kappa: 0.9134, kb_relative_information_score: 25741.255, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9571, predictive_accuracy: 0.9567, prior_entropy: 0.9986, recall: 0.9567, relative_absolute_error: 0.2207, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.382, scimark_benchmark: 1345.6844, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.8776, kappa: 0.7546, kb_relative_information_score: 19523.4622, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.8778, predictive_accuracy: 0.8777, prior_entropy: 0.9986, recall: 0.8777, relative_absolute_error: 0.417, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.6056, scimark_benchmark: 1326.2019, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9133, kappa: 0.8262, kb_relative_information_score: 21422.0305, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9144, predictive_accuracy: 0.9135, prior_entropy: 0.9986, recall: 0.9135, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.5331, scimark_benchmark: 1325.8468, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9133, kappa: 0.8262, kb_relative_information_score: 21422.0305, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9144, predictive_accuracy: 0.9135, prior_entropy: 0.9986, recall: 0.9135, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.5331, scimark_benchmark: 1337.1928, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9906, kappa: 0.9811, kb_relative_information_score: 30959.6952, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9906, predictive_accuracy: 0.9906, prior_entropy: 0.9986, recall: 0.9906, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0876, root_relative_squared_error: 0.1753, scimark_benchmark: 1337.3324, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9133, kappa: 0.8262, kb_relative_information_score: 21422.0305, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9144, predictive_accuracy: 0.9135, prior_entropy: 0.9986, recall: 0.9135, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.5331, scimark_benchmark: 1326.2019, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9915, kappa: 0.983, kb_relative_information_score: 30006.4098, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9915, predictive_accuracy: 0.9915, prior_entropy: 0.9986, recall: 0.9915, relative_absolute_error: 0.0735, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0972, root_relative_squared_error: 0.1946, scimark_benchmark: 1357.8069, usercpu_time_millis: 370830, usercpu_time_millis_testing: 3000, usercpu_time_millis_training: 367830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9567, kappa: 0.9134, kb_relative_information_score: 25741.255, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9571, predictive_accuracy: 0.9567, prior_entropy: 0.9986, recall: 0.9567, relative_absolute_error: 0.2207, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.382, scimark_benchmark: 1310.3168, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9938, kappa: 0.9876, kb_relative_information_score: 31402.8313, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 0.9986, recall: 0.9938, relative_absolute_error: 0.0192, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0779, root_relative_squared_error: 0.1559, scimark_benchmark: 1322.0065, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.963, kappa: 0.9259, kb_relative_information_score: 26467.4022, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9637, predictive_accuracy: 0.963, prior_entropy: 0.9986, recall: 0.963, relative_absolute_error: 0.2007, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.3697, scimark_benchmark: 1345.7919, usercpu_time_millis: 490, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.9386, kappa: 0.8768, kb_relative_information_score: 28028.7696, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9397, predictive_accuracy: 0.9387, prior_entropy: 0.9986, recall: 0.9387, relative_absolute_error: 0.1229, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.4958, scimark_benchmark: 1306.468, usercpu_time_millis: 7780, usercpu_time_millis_testing: 1380, usercpu_time_millis_training: 6400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9133, kappa: 0.8262, kb_relative_information_score: 21422.0305, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9144, predictive_accuracy: 0.9135, prior_entropy: 0.9986, recall: 0.9135, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.5331, scimark_benchmark: 1306.468, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9133, kappa: 0.8262, kb_relative_information_score: 21422.0305, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9144, predictive_accuracy: 0.9135, prior_entropy: 0.9986, recall: 0.9135, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.5331, scimark_benchmark: 1342.9012, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9133, kappa: 0.8262, kb_relative_information_score: 21422.0305, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9144, predictive_accuracy: 0.9135, prior_entropy: 0.9986, recall: 0.9135, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.5331, scimark_benchmark: 1367.3264, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9802, kappa: 0.9603, kb_relative_information_score: 29860.598, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9802, predictive_accuracy: 0.9802, prior_entropy: 0.9986, recall: 0.9802, relative_absolute_error: 0.0719, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.2626, scimark_benchmark: 1339.6197, usercpu_time_millis: 10600, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9133, kappa: 0.8262, kb_relative_information_score: 21422.0305, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9144, predictive_accuracy: 0.9135, prior_entropy: 0.9986, recall: 0.9135, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.5331, scimark_benchmark: 1350.007, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9133, kappa: 0.8262, kb_relative_information_score: 21422.0305, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9144, predictive_accuracy: 0.9135, prior_entropy: 0.9986, recall: 0.9135, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.5331, scimark_benchmark: 1337.1928, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9923, kappa: 0.9845, kb_relative_information_score: 29101.7571, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 0.9986, recall: 0.9923, relative_absolute_error: 0.1098, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1072, root_relative_squared_error: 0.2145, scimark_benchmark: 1325.1482, usercpu_time_millis: 460, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9904, kappa: 0.9807, kb_relative_information_score: 30947.3075, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.499, number_of_instances: 31960, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.9986, recall: 0.9904, relative_absolute_error: 0.0357, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.1711, scimark_benchmark: 1397.3209, usercpu_time_millis: 4550, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 4460,

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