Task
Supervised Classification on kin8nm

Supervised Classification on kin8nm

Task 4377 Supervised Classification kin8nm 235 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, f_measure: 0.761, kappa: 0.522, kb_relative_information_score: 30303.9399, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.7612, predictive_accuracy: 0.761, prior_entropy: 0.9998, recall: 0.761, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8325, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8162, f_measure: 0.7419, kappa: 0.4839, kb_relative_information_score: 18382.5243, mean_absolute_error: 0.4056, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.7423, predictive_accuracy: 0.7419, prior_entropy: 0.9998, recall: 0.7419, relative_absolute_error: 0.8114, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.8615, scimark_benchmark: 972.587, usercpu_time_millis: 610, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.7446, kappa: 0.4895, kb_relative_information_score: 26832.5487, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.7452, predictive_accuracy: 0.7447, prior_entropy: 0.9998, recall: 0.7447, relative_absolute_error: 0.7042, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8338, scimark_benchmark: 934.3687, usercpu_time_millis: 1490, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8895, kappa: 0.7789, kb_relative_information_score: 63803.9202, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.8895, predictive_accuracy: 0.8895, prior_entropy: 0.9998, recall: 0.8895, relative_absolute_error: 0.2211, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.665, scimark_benchmark: 944.1067, usercpu_time_millis: 9100, usercpu_time_millis_testing: 3340, usercpu_time_millis_training: 5760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8895, kappa: 0.7789, kb_relative_information_score: 63803.9202, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.8895, predictive_accuracy: 0.8895, prior_entropy: 0.9998, recall: 0.8895, relative_absolute_error: 0.2211, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.665, scimark_benchmark: 916.0735, usercpu_time_millis: 11460, usercpu_time_millis_testing: 3390, usercpu_time_millis_training: 8070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.7423, kappa: 0.4852, kb_relative_information_score: 25782.9325, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.7436, predictive_accuracy: 0.7424, prior_entropy: 0.9998, recall: 0.7424, relative_absolute_error: 0.7175, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8336, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.8233, kappa: 0.6466, kb_relative_information_score: 40267.2349, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.8234, predictive_accuracy: 0.8233, prior_entropy: 0.9998, recall: 0.8233, relative_absolute_error: 0.5409, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.7067, scimark_benchmark: 938.191, usercpu_time_millis: 1000, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.8295, kappa: 0.6591, kb_relative_information_score: 41418.7022, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.8298, predictive_accuracy: 0.8295, prior_entropy: 0.9998, recall: 0.8295, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.6989, scimark_benchmark: 908.6124, usercpu_time_millis: 1137360, usercpu_time_millis_testing: 8350, usercpu_time_millis_training: 1129010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7688, kappa: 0.5376, kb_relative_information_score: 31563.186, mean_absolute_error: 0.3224, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.769, predictive_accuracy: 0.7688, prior_entropy: 0.9998, recall: 0.7688, relative_absolute_error: 0.645, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8097, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8895, kappa: 0.7789, kb_relative_information_score: 63803.9202, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.8895, predictive_accuracy: 0.8895, prior_entropy: 0.9998, recall: 0.8895, relative_absolute_error: 0.2211, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.665, scimark_benchmark: 941.3847, usercpu_time_millis: 12350, usercpu_time_millis_testing: 3290, usercpu_time_millis_training: 9060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8895, kappa: 0.7789, kb_relative_information_score: 63803.9202, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.8895, predictive_accuracy: 0.8895, prior_entropy: 0.9998, recall: 0.8895, relative_absolute_error: 0.2211, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.665, scimark_benchmark: 941.3847, usercpu_time_millis: 8490, usercpu_time_millis_testing: 3290, usercpu_time_millis_training: 5200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8498, kappa: 0.6994, kb_relative_information_score: 42720.8272, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.8498, predictive_accuracy: 0.8498, prior_entropy: 0.9998, recall: 0.8498, relative_absolute_error: 0.5146, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.6633, scimark_benchmark: 947.1781, usercpu_time_millis: 4930, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 4470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, f_measure: 0.761, kappa: 0.522, kb_relative_information_score: 30303.9399, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.7612, predictive_accuracy: 0.761, prior_entropy: 0.9998, recall: 0.761, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8325, scimark_benchmark: 942.2392, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8162, f_measure: 0.7419, kappa: 0.4839, kb_relative_information_score: 18382.5243, mean_absolute_error: 0.4056, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.7423, predictive_accuracy: 0.7419, prior_entropy: 0.9998, recall: 0.7419, relative_absolute_error: 0.8114, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.8615, scimark_benchmark: 908.9569, usercpu_time_millis: 880, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.7446, kappa: 0.4895, kb_relative_information_score: 26832.5487, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.7452, predictive_accuracy: 0.7447, prior_entropy: 0.9998, recall: 0.7447, relative_absolute_error: 0.7042, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8338, scimark_benchmark: 938.1282, usercpu_time_millis: 1380, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8895, kappa: 0.7789, kb_relative_information_score: 63803.9202, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.8895, predictive_accuracy: 0.8895, prior_entropy: 0.9998, recall: 0.8895, relative_absolute_error: 0.2211, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.665, scimark_benchmark: 938.1282, usercpu_time_millis: 13680, usercpu_time_millis_testing: 4180, usercpu_time_millis_training: 9500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.8295, kappa: 0.6591, kb_relative_information_score: 41418.7022, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.8298, predictive_accuracy: 0.8295, prior_entropy: 0.9998, recall: 0.8295, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.6989, scimark_benchmark: 905.2959, usercpu_time_millis: 1486010, usercpu_time_millis_testing: 7980, usercpu_time_millis_training: 1478030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8895, kappa: 0.7789, kb_relative_information_score: 63803.9202, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.8895, predictive_accuracy: 0.8895, prior_entropy: 0.9998, recall: 0.8895, relative_absolute_error: 0.2211, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.665, scimark_benchmark: 934.5964, usercpu_time_millis: 16390, usercpu_time_millis_testing: 3570, usercpu_time_millis_training: 12820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.7362, kappa: 0.4731, kb_relative_information_score: 24710.1518, mean_absolute_error: 0.3652, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.7375, predictive_accuracy: 0.7363, prior_entropy: 0.9998, recall: 0.7363, relative_absolute_error: 0.7306, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8406, scimark_benchmark: 930.404, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.7423, kappa: 0.4852, kb_relative_information_score: 25782.9325, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.7436, predictive_accuracy: 0.7424, prior_entropy: 0.9998, recall: 0.7424, relative_absolute_error: 0.7175, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8336, scimark_benchmark: 903.2737, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.7423, kappa: 0.4852, kb_relative_information_score: 25782.9325, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.7436, predictive_accuracy: 0.7424, prior_entropy: 0.9998, recall: 0.7424, relative_absolute_error: 0.7175, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8336, scimark_benchmark: 941.4991, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.8233, kappa: 0.6466, kb_relative_information_score: 40267.2349, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.8234, predictive_accuracy: 0.8233, prior_entropy: 0.9998, recall: 0.8233, relative_absolute_error: 0.5409, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.7067, scimark_benchmark: 930.404, usercpu_time_millis: 660, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.7423, kappa: 0.4852, kb_relative_information_score: 25782.9325, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.7436, predictive_accuracy: 0.7424, prior_entropy: 0.9998, recall: 0.7424, relative_absolute_error: 0.7175, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8336, scimark_benchmark: 936.9595, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7688, kappa: 0.5376, kb_relative_information_score: 31563.186, mean_absolute_error: 0.3224, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.769, predictive_accuracy: 0.7688, prior_entropy: 0.9998, recall: 0.7688, relative_absolute_error: 0.645, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8097, scimark_benchmark: 936.9595, usercpu_time_millis: 1060, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8498, kappa: 0.6994, kb_relative_information_score: 42720.8272, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.8498, predictive_accuracy: 0.8498, prior_entropy: 0.9998, recall: 0.8498, relative_absolute_error: 0.5146, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.6633, scimark_benchmark: 945.6228, usercpu_time_millis: 5360, usercpu_time_millis_testing: 700, usercpu_time_millis_training: 4660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.8773, kappa: 0.7544, kb_relative_information_score: 44628.5437, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.8774, predictive_accuracy: 0.8773, prior_entropy: 0.9998, recall: 0.8773, relative_absolute_error: 0.498, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3119, root_relative_squared_error: 0.6239, scimark_benchmark: 940.1221, usercpu_time_millis: 76220, usercpu_time_millis_testing: 10310, usercpu_time_millis_training: 65910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.8753, kappa: 0.7505, kb_relative_information_score: 44618.0354, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.8754, predictive_accuracy: 0.8753, prior_entropy: 0.9998, recall: 0.8753, relative_absolute_error: 0.4978, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.625, scimark_benchmark: 906.5979, usercpu_time_millis: 35870, usercpu_time_millis_testing: 3840, usercpu_time_millis_training: 32030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.873, kappa: 0.7459, kb_relative_information_score: 44608.6923, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.8731, predictive_accuracy: 0.873, prior_entropy: 0.9998, recall: 0.873, relative_absolute_error: 0.4971, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.6278, scimark_benchmark: 929.7512, usercpu_time_millis: 17110, usercpu_time_millis_testing: 1660, usercpu_time_millis_training: 15450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.8668, kappa: 0.7335, kb_relative_information_score: 44300.0516, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.8669, predictive_accuracy: 0.8669, prior_entropy: 0.9998, recall: 0.8669, relative_absolute_error: 0.4995, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6356, scimark_benchmark: 917.2109, usercpu_time_millis: 8550, usercpu_time_millis_testing: 810, usercpu_time_millis_training: 7740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8604, kappa: 0.7206, kb_relative_information_score: 44322.426, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.8605, predictive_accuracy: 0.8604, prior_entropy: 0.9998, recall: 0.8604, relative_absolute_error: 0.4966, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6452, scimark_benchmark: 908.4147, usercpu_time_millis: 4380, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 3990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.7359, kappa: 0.4721, kb_relative_information_score: 28122.3349, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.7367, predictive_accuracy: 0.7359, prior_entropy: 0.9998, recall: 0.7359, relative_absolute_error: 0.684, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.8429, scimark_benchmark: 929.0296, usercpu_time_millis: 420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.7359, kappa: 0.4721, kb_relative_information_score: 28122.3349, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.7367, predictive_accuracy: 0.7359, prior_entropy: 0.9998, recall: 0.7359, relative_absolute_error: 0.684, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.8429, scimark_benchmark: 889.4922, usercpu_time_millis: 420, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.7359, kappa: 0.4721, kb_relative_information_score: 28122.3349, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.7367, predictive_accuracy: 0.7359, prior_entropy: 0.9998, recall: 0.7359, relative_absolute_error: 0.684, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.8429, scimark_benchmark: 929.0296, usercpu_time_millis: 430, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.7359, kappa: 0.4721, kb_relative_information_score: 28122.3349, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.7367, predictive_accuracy: 0.7359, prior_entropy: 0.9998, recall: 0.7359, relative_absolute_error: 0.684, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.8429, scimark_benchmark: 941.9549, usercpu_time_millis: 420, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.7346, kappa: 0.4697, kb_relative_information_score: 27126.4747, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.7357, predictive_accuracy: 0.7346, prior_entropy: 0.9998, recall: 0.7346, relative_absolute_error: 0.6969, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.848, scimark_benchmark: 929.0296, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.7215, kappa: 0.4435, kb_relative_information_score: 25224.0538, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.7224, predictive_accuracy: 0.7216, prior_entropy: 0.9998, recall: 0.7216, relative_absolute_error: 0.7191, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.435, root_relative_squared_error: 0.8701, scimark_benchmark: 941.9549, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.8233, kappa: 0.6466, kb_relative_information_score: 40267.2349, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.8234, predictive_accuracy: 0.8233, prior_entropy: 0.9998, recall: 0.8233, relative_absolute_error: 0.5409, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.7067, scimark_benchmark: 1325.7874, usercpu_time_millis: 700, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8895, kappa: 0.7789, kb_relative_information_score: 63803.9202, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.8895, predictive_accuracy: 0.8895, prior_entropy: 0.9998, recall: 0.8895, relative_absolute_error: 0.2211, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.665, scimark_benchmark: 1324.9519, usercpu_time_millis: 9060, usercpu_time_millis_testing: 3220, usercpu_time_millis_training: 5840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.7362, kappa: 0.4731, kb_relative_information_score: 24710.1518, mean_absolute_error: 0.3652, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.7375, predictive_accuracy: 0.7363, prior_entropy: 0.9998, recall: 0.7363, relative_absolute_error: 0.7306, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8406, scimark_benchmark: 1313.8988, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.8233, kappa: 0.6466, kb_relative_information_score: 40267.2349, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.8234, predictive_accuracy: 0.8233, prior_entropy: 0.9998, recall: 0.8233, relative_absolute_error: 0.5409, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.7067, scimark_benchmark: 908.2231, usercpu_time_millis: 710, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 690,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.8295, kappa: 0.6591, kb_relative_information_score: 41418.7022, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.8298, predictive_accuracy: 0.8295, prior_entropy: 0.9998, recall: 0.8295, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.6989, scimark_benchmark: 1315.9287, usercpu_time_millis: 619640, usercpu_time_millis_testing: 8630, usercpu_time_millis_training: 611010,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, f_measure: 0.761, kappa: 0.522, kb_relative_information_score: 30303.9399, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.7612, predictive_accuracy: 0.761, prior_entropy: 0.9998, recall: 0.761, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8325, scimark_benchmark: 1310.3168, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.8295, kappa: 0.6591, kb_relative_information_score: 41418.7022, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.8298, predictive_accuracy: 0.8295, prior_entropy: 0.9998, recall: 0.8295, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.6989, scimark_benchmark: 940.3347, usercpu_time_millis: 1261930, usercpu_time_millis_testing: 9800, usercpu_time_millis_training: 1252130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.7362, kappa: 0.4731, kb_relative_information_score: 24710.1518, mean_absolute_error: 0.3652, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.7375, predictive_accuracy: 0.7363, prior_entropy: 0.9998, recall: 0.7363, relative_absolute_error: 0.7306, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8406, scimark_benchmark: 1329.8008, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.7423, kappa: 0.4852, kb_relative_information_score: 25782.9325, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.7436, predictive_accuracy: 0.7424, prior_entropy: 0.9998, recall: 0.7424, relative_absolute_error: 0.7175, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8336, scimark_benchmark: 1316.5668, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.7423, kappa: 0.4852, kb_relative_information_score: 25782.9325, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.7436, predictive_accuracy: 0.7424, prior_entropy: 0.9998, recall: 0.7424, relative_absolute_error: 0.7175, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8336, scimark_benchmark: 1347.1763, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7688, kappa: 0.5376, kb_relative_information_score: 31563.186, mean_absolute_error: 0.3224, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.769, predictive_accuracy: 0.7688, prior_entropy: 0.9998, recall: 0.7688, relative_absolute_error: 0.645, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8097, scimark_benchmark: 1354.5533, usercpu_time_millis: 1140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8895, kappa: 0.7789, kb_relative_information_score: 63803.9202, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4998, number_of_instances: 81920, precision: 0.8895, predictive_accuracy: 0.8895, prior_entropy: 0.9998, recall: 0.8895, relative_absolute_error: 0.2211, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.665, scimark_benchmark: 1324.6442, usercpu_time_millis: 15660, usercpu_time_millis_testing: 3500, usercpu_time_millis_training: 12160,

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