Task
Supervised Classification on fri_c4_1000_100

Supervised Classification on fri_c4_1000_100

Task 4289 Supervised Classification fri_c4_1000_100 207 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8701, kappa: 0.7358, kb_relative_information_score: 6601.9204, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8701, predictive_accuracy: 0.8701, prior_entropy: 0.9882, recall: 0.8701, relative_absolute_error: 0.3597, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.6402, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.873, kappa: 0.7421, kb_relative_information_score: 5346.5198, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8733, predictive_accuracy: 0.8728, prior_entropy: 0.9882, recall: 0.8728, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.6422, scimark_benchmark: 972.587, usercpu_time_millis: 910, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.872, kappa: 0.7399, kb_relative_information_score: 6350.184, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8721, predictive_accuracy: 0.8719, prior_entropy: 0.9882, recall: 0.8719, relative_absolute_error: 0.3905, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3045, root_relative_squared_error: 0.6141, scimark_benchmark: 934.3687, usercpu_time_millis: 1180, usercpu_time_millis_training: 1180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8613, kappa: 0.7176, kb_relative_information_score: 6346.9617, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8614, predictive_accuracy: 0.8616, prior_entropy: 0.9882, recall: 0.8616, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.62, scimark_benchmark: 941.6675, usercpu_time_millis: 190, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8613, kappa: 0.7176, kb_relative_information_score: 6346.9617, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8614, predictive_accuracy: 0.8616, prior_entropy: 0.9882, recall: 0.8616, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.62, scimark_benchmark: 941.6675, usercpu_time_millis: 180, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8854, kappa: 0.7668, kb_relative_information_score: 6380.8075, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8855, predictive_accuracy: 0.8856, prior_entropy: 0.9882, recall: 0.8856, relative_absolute_error: 0.3911, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.5901, scimark_benchmark: 938.191, usercpu_time_millis: 630, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.6347, kappa: 0.2541, kb_relative_information_score: 1865.1996, mean_absolute_error: 0.405, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.6357, predictive_accuracy: 0.6396, prior_entropy: 0.9882, recall: 0.6396, relative_absolute_error: 0.8234, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9771, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.851, kappa: 0.6969, kb_relative_information_score: 6477.9794, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.851, predictive_accuracy: 0.8511, prior_entropy: 0.9882, recall: 0.8511, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6986, scimark_benchmark: 927.2917, usercpu_time_millis: 1980, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6248, f_measure: 0.6351, kappa: 0.2571, kb_relative_information_score: 2737.6325, mean_absolute_error: 0.3546, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.6422, predictive_accuracy: 0.6454, prior_entropy: 0.9882, recall: 0.6454, relative_absolute_error: 0.721, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5955, root_relative_squared_error: 1.2008, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6248, f_measure: 0.6351, kappa: 0.2571, kb_relative_information_score: 2737.6325, mean_absolute_error: 0.3546, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.6422, predictive_accuracy: 0.6454, prior_entropy: 0.9882, recall: 0.6454, relative_absolute_error: 0.721, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5955, root_relative_squared_error: 1.2008, scimark_benchmark: 941.3847, usercpu_time_millis: 4780, usercpu_time_millis_testing: 2140, usercpu_time_millis_training: 2640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.858, kappa: 0.7108, kb_relative_information_score: 6306.0589, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.858, predictive_accuracy: 0.8582, prior_entropy: 0.9882, recall: 0.8582, relative_absolute_error: 0.3892, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6238, scimark_benchmark: 941.3847, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8613, kappa: 0.7176, kb_relative_information_score: 6346.9617, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8614, predictive_accuracy: 0.8616, prior_entropy: 0.9882, recall: 0.8616, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.62, scimark_benchmark: 974.2014, usercpu_time_millis: 120, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.8272, kappa: 0.6473, kb_relative_information_score: 2839.5877, mean_absolute_error: 0.3763, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8314, predictive_accuracy: 0.8292, prior_entropy: 0.9882, recall: 0.8292, relative_absolute_error: 0.7651, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.7998, scimark_benchmark: 943.1009, usercpu_time_millis: 870, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8701, kappa: 0.7358, kb_relative_information_score: 6601.9204, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8701, predictive_accuracy: 0.8701, prior_entropy: 0.9882, recall: 0.8701, relative_absolute_error: 0.3597, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.6402, scimark_benchmark: 942.2392, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.873, kappa: 0.7421, kb_relative_information_score: 5346.5198, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8733, predictive_accuracy: 0.8728, prior_entropy: 0.9882, recall: 0.8728, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.6422, scimark_benchmark: 908.9569, usercpu_time_millis: 780, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.872, kappa: 0.7399, kb_relative_information_score: 6350.184, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8721, predictive_accuracy: 0.8719, prior_entropy: 0.9882, recall: 0.8719, relative_absolute_error: 0.3905, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3045, root_relative_squared_error: 0.6141, scimark_benchmark: 938.1282, usercpu_time_millis: 1260, usercpu_time_millis_training: 1260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6248, f_measure: 0.6351, kappa: 0.2571, kb_relative_information_score: 2737.6325, mean_absolute_error: 0.3546, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.6422, predictive_accuracy: 0.6454, prior_entropy: 0.9882, recall: 0.6454, relative_absolute_error: 0.721, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5955, root_relative_squared_error: 1.2008, scimark_benchmark: 906.0979, usercpu_time_millis: 5610, usercpu_time_millis_testing: 2840, usercpu_time_millis_training: 2770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8613, kappa: 0.7176, kb_relative_information_score: 6346.9617, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8614, predictive_accuracy: 0.8616, prior_entropy: 0.9882, recall: 0.8616, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.62, scimark_benchmark: 930.404, usercpu_time_millis: 180, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8613, kappa: 0.7176, kb_relative_information_score: 6346.9617, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8614, predictive_accuracy: 0.8616, prior_entropy: 0.9882, recall: 0.8616, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.62, scimark_benchmark: 903.2737, usercpu_time_millis: 190, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8613, kappa: 0.7176, kb_relative_information_score: 6346.9617, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8614, predictive_accuracy: 0.8616, prior_entropy: 0.9882, recall: 0.8616, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.62, scimark_benchmark: 941.4991, usercpu_time_millis: 170, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8854, kappa: 0.7668, kb_relative_information_score: 6380.8075, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8855, predictive_accuracy: 0.8856, prior_entropy: 0.9882, recall: 0.8856, relative_absolute_error: 0.3911, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.5901, scimark_benchmark: 903.2737, usercpu_time_millis: 590, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.6347, kappa: 0.2541, kb_relative_information_score: 1865.1996, mean_absolute_error: 0.405, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.6357, predictive_accuracy: 0.6396, prior_entropy: 0.9882, recall: 0.6396, relative_absolute_error: 0.8234, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9771, scimark_benchmark: 935.5664, usercpu_time_millis: 6180, usercpu_time_millis_testing: 930, usercpu_time_millis_training: 5250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8613, kappa: 0.7176, kb_relative_information_score: 6346.9617, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8614, predictive_accuracy: 0.8616, prior_entropy: 0.9882, recall: 0.8616, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.62, scimark_benchmark: 936.9595, usercpu_time_millis: 180, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.8272, kappa: 0.6473, kb_relative_information_score: 2839.5877, mean_absolute_error: 0.3763, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8314, predictive_accuracy: 0.8292, prior_entropy: 0.9882, recall: 0.8292, relative_absolute_error: 0.7651, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.7998, scimark_benchmark: 730.6551, usercpu_time_millis: 1350, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8429, kappa: 0.6795, kb_relative_information_score: 3313.4826, mean_absolute_error: 0.3533, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8449, predictive_accuracy: 0.8441, prior_entropy: 0.9882, recall: 0.8441, relative_absolute_error: 0.7184, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.382, root_relative_squared_error: 0.7704, scimark_benchmark: 904.5548, usercpu_time_millis: 73880, usercpu_time_millis_testing: 27370, usercpu_time_millis_training: 46510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.8318, kappa: 0.6568, kb_relative_information_score: 3274.1774, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8332, predictive_accuracy: 0.8329, prior_entropy: 0.9882, recall: 0.8329, relative_absolute_error: 0.7203, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7756, scimark_benchmark: 933.4823, usercpu_time_millis: 34690, usercpu_time_millis_testing: 11690, usercpu_time_millis_training: 23000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.8163, kappa: 0.6252, kb_relative_information_score: 3222.0671, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8178, predictive_accuracy: 0.8176, prior_entropy: 0.9882, recall: 0.8176, relative_absolute_error: 0.7225, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.7836, scimark_benchmark: 938.8535, usercpu_time_millis: 18240, usercpu_time_millis_testing: 5780, usercpu_time_millis_training: 12460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.7991, kappa: 0.5901, kb_relative_information_score: 3201.2045, mean_absolute_error: 0.3543, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8002, predictive_accuracy: 0.8004, prior_entropy: 0.9882, recall: 0.8004, relative_absolute_error: 0.7204, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.7947, scimark_benchmark: 941.589, usercpu_time_millis: 7750, usercpu_time_millis_testing: 2340, usercpu_time_millis_training: 5410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.7576, kappa: 0.5056, kb_relative_information_score: 3007.5821, mean_absolute_error: 0.3596, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.758, predictive_accuracy: 0.7589, prior_entropy: 0.9882, recall: 0.7589, relative_absolute_error: 0.7311, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8273, scimark_benchmark: 930.0399, usercpu_time_millis: 3490, usercpu_time_millis_testing: 650, usercpu_time_millis_training: 2840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.8844, kappa: 0.7646, kb_relative_information_score: 7249.0997, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8844, predictive_accuracy: 0.8845, prior_entropy: 0.9882, recall: 0.8845, relative_absolute_error: 0.2829, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.5995, scimark_benchmark: 936.1714, usercpu_time_millis: 1850, usercpu_time_millis_training: 1850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.8838, kappa: 0.7635, kb_relative_information_score: 7232.0444, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8839, predictive_accuracy: 0.884, prior_entropy: 0.9882, recall: 0.884, relative_absolute_error: 0.2852, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.5955, scimark_benchmark: 894.7131, usercpu_time_millis: 1950, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.8901, kappa: 0.7764, kb_relative_information_score: 7185.4156, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8901, predictive_accuracy: 0.8902, prior_entropy: 0.9882, recall: 0.8902, relative_absolute_error: 0.2941, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.5705, scimark_benchmark: 894.7131, usercpu_time_millis: 1570, usercpu_time_millis_training: 1570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.8853, kappa: 0.7663, kb_relative_information_score: 6774.0284, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8854, predictive_accuracy: 0.8855, prior_entropy: 0.9882, recall: 0.8855, relative_absolute_error: 0.3427, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.5821, scimark_benchmark: 936.1714, usercpu_time_millis: 750, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.8651, kappa: 0.7251, kb_relative_information_score: 5961.4296, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8655, predictive_accuracy: 0.8656, prior_entropy: 0.9882, recall: 0.8656, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.6318, scimark_benchmark: 929.0296, usercpu_time_millis: 400, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4951, f_measure: 0.4068, kb_relative_information_score: -0.4715, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.3181, predictive_accuracy: 0.564, prior_entropy: 0.9882, recall: 0.564, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4959, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.8835, kappa: 0.7628, kb_relative_information_score: 7517.2941, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8837, predictive_accuracy: 0.8838, prior_entropy: 0.9882, recall: 0.8838, relative_absolute_error: 0.2492, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.307, root_relative_squared_error: 0.6191, scimark_benchmark: 938.3115, usercpu_time_millis: 6210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.8704, kappa: 0.7362, kb_relative_information_score: 7183.8297, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8703, predictive_accuracy: 0.8705, prior_entropy: 0.9882, recall: 0.8705, relative_absolute_error: 0.2839, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6503, scimark_benchmark: 936.1714, usercpu_time_millis: 3090, usercpu_time_millis_training: 3090,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8613, kappa: 0.7176, kb_relative_information_score: 6346.9617, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8614, predictive_accuracy: 0.8616, prior_entropy: 0.9882, recall: 0.8616, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.62, scimark_benchmark: 1375.1578, usercpu_time_millis: 110, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6248, f_measure: 0.6351, kappa: 0.2571, kb_relative_information_score: 2737.6325, mean_absolute_error: 0.3546, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.6422, predictive_accuracy: 0.6454, prior_entropy: 0.9882, recall: 0.6454, relative_absolute_error: 0.721, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5955, root_relative_squared_error: 1.2008, scimark_benchmark: 1278.9821, usercpu_time_millis: 3200, usercpu_time_millis_testing: 1860, usercpu_time_millis_training: 1340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6248, f_measure: 0.6351, kappa: 0.2571, kb_relative_information_score: 2737.6325, mean_absolute_error: 0.3546, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.6422, predictive_accuracy: 0.6454, prior_entropy: 0.9882, recall: 0.6454, relative_absolute_error: 0.721, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5955, root_relative_squared_error: 1.2008, scimark_benchmark: 1310.3168, usercpu_time_millis: 4130, usercpu_time_millis_testing: 1530, usercpu_time_millis_training: 2600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.858, kappa: 0.7108, kb_relative_information_score: 6306.0589, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.858, predictive_accuracy: 0.8582, prior_entropy: 0.9882, recall: 0.8582, relative_absolute_error: 0.3892, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6238, scimark_benchmark: 1338.5214, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8613, kappa: 0.7176, kb_relative_information_score: 6346.9617, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8614, predictive_accuracy: 0.8616, prior_entropy: 0.9882, recall: 0.8616, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.62, scimark_benchmark: 1374.9737, usercpu_time_millis: 120, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.6347, kappa: 0.2541, kb_relative_information_score: 1865.1996, mean_absolute_error: 0.405, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.6357, predictive_accuracy: 0.6396, prior_entropy: 0.9882, recall: 0.6396, relative_absolute_error: 0.8234, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9771, scimark_benchmark: 1310.6554, usercpu_time_millis: 2330, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 1790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6248, f_measure: 0.6351, kappa: 0.2571, kb_relative_information_score: 2737.6325, mean_absolute_error: 0.3546, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.6422, predictive_accuracy: 0.6454, prior_entropy: 0.9882, recall: 0.6454, relative_absolute_error: 0.721, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5955, root_relative_squared_error: 1.2008, scimark_benchmark: 1331.2559, usercpu_time_millis: 5820, usercpu_time_millis_testing: 2660, usercpu_time_millis_training: 3160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.858, kappa: 0.7108, kb_relative_information_score: 6306.0589, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.858, predictive_accuracy: 0.8582, prior_entropy: 0.9882, recall: 0.8582, relative_absolute_error: 0.3892, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6238, scimark_benchmark: 1331.2559, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8613, kappa: 0.7176, kb_relative_information_score: 6346.9617, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8614, predictive_accuracy: 0.8616, prior_entropy: 0.9882, recall: 0.8616, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.62, scimark_benchmark: 1316.5668, usercpu_time_millis: 130, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8613, kappa: 0.7176, kb_relative_information_score: 6346.9617, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8614, predictive_accuracy: 0.8616, prior_entropy: 0.9882, recall: 0.8616, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.62, scimark_benchmark: 1319.4538, usercpu_time_millis: 110, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.6347, kappa: 0.2541, kb_relative_information_score: 1865.1996, mean_absolute_error: 0.405, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.6357, predictive_accuracy: 0.6396, prior_entropy: 0.9882, recall: 0.6396, relative_absolute_error: 0.8234, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9771, scimark_benchmark: 1344.3409, usercpu_time_millis: 3310, usercpu_time_millis_testing: 560, usercpu_time_millis_training: 2750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8613, kappa: 0.7176, kb_relative_information_score: 6346.9617, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8614, predictive_accuracy: 0.8616, prior_entropy: 0.9882, recall: 0.8616, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.62, scimark_benchmark: 1310.3168, usercpu_time_millis: 130, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6248, f_measure: 0.6351, kappa: 0.2571, kb_relative_information_score: 2737.6325, mean_absolute_error: 0.3546, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.6422, predictive_accuracy: 0.6454, prior_entropy: 0.9882, recall: 0.6454, relative_absolute_error: 0.721, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5955, root_relative_squared_error: 1.2008, scimark_benchmark: 1334.863, usercpu_time_millis: 5180, usercpu_time_millis_testing: 2530, usercpu_time_millis_training: 2650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8613, kappa: 0.7176, kb_relative_information_score: 6346.9617, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8614, predictive_accuracy: 0.8616, prior_entropy: 0.9882, recall: 0.8616, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.62, scimark_benchmark: 1326.2019, usercpu_time_millis: 120, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8613, kappa: 0.7176, kb_relative_information_score: 6346.9617, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8614, predictive_accuracy: 0.8616, prior_entropy: 0.9882, recall: 0.8616, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.62, scimark_benchmark: 1331.1314, usercpu_time_millis: 100, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.6347, kappa: 0.2541, kb_relative_information_score: 1865.1996, mean_absolute_error: 0.405, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.6357, predictive_accuracy: 0.6396, prior_entropy: 0.9882, recall: 0.6396, relative_absolute_error: 0.8234, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9771, scimark_benchmark: 1337.3324, usercpu_time_millis: 3080, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 2490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8613, kappa: 0.7176, kb_relative_information_score: 6346.9617, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8614, predictive_accuracy: 0.8616, prior_entropy: 0.9882, recall: 0.8616, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.62, scimark_benchmark: 1313.11, usercpu_time_millis: 120, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.851, kappa: 0.6969, kb_relative_information_score: 6477.9794, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.851, predictive_accuracy: 0.8511, prior_entropy: 0.9882, recall: 0.8511, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6986, scimark_benchmark: 1342.2845, usercpu_time_millis: 2490, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.8272, kappa: 0.6473, kb_relative_information_score: 2839.5877, mean_absolute_error: 0.3763, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8314, predictive_accuracy: 0.8292, prior_entropy: 0.9882, recall: 0.8292, relative_absolute_error: 0.7651, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.7998, scimark_benchmark: 1313.5633, usercpu_time_millis: 790, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.873, kappa: 0.7421, kb_relative_information_score: 5346.5198, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8733, predictive_accuracy: 0.8728, prior_entropy: 0.9882, recall: 0.8728, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.6422, scimark_benchmark: 1322.5413, usercpu_time_millis: 670, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.872, kappa: 0.7399, kb_relative_information_score: 6350.184, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8721, predictive_accuracy: 0.8719, prior_entropy: 0.9882, recall: 0.8719, relative_absolute_error: 0.3905, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3045, root_relative_squared_error: 0.6141, scimark_benchmark: 1318.4315, usercpu_time_millis: 980, usercpu_time_millis_training: 980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6248, f_measure: 0.6351, kappa: 0.2571, kb_relative_information_score: 2737.6325, mean_absolute_error: 0.3546, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.6422, predictive_accuracy: 0.6454, prior_entropy: 0.9882, recall: 0.6454, relative_absolute_error: 0.721, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5955, root_relative_squared_error: 1.2008, scimark_benchmark: 1375.1578, usercpu_time_millis: 1790, usercpu_time_millis_testing: 1010, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8613, kappa: 0.7176, kb_relative_information_score: 6346.9617, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8614, predictive_accuracy: 0.8616, prior_entropy: 0.9882, recall: 0.8616, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.62, scimark_benchmark: 1343.7262, usercpu_time_millis: 130, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8613, kappa: 0.7176, kb_relative_information_score: 6346.9617, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8614, predictive_accuracy: 0.8616, prior_entropy: 0.9882, recall: 0.8616, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.62, scimark_benchmark: 1320.1171, usercpu_time_millis: 100, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8613, kappa: 0.7176, kb_relative_information_score: 6346.9617, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8614, predictive_accuracy: 0.8616, prior_entropy: 0.9882, recall: 0.8616, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.62, scimark_benchmark: 1347.6184, usercpu_time_millis: 110, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8854, kappa: 0.7668, kb_relative_information_score: 6380.8075, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8855, predictive_accuracy: 0.8856, prior_entropy: 0.9882, recall: 0.8856, relative_absolute_error: 0.3911, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.5901, scimark_benchmark: 1349.1517, usercpu_time_millis: 560, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.6347, kappa: 0.2541, kb_relative_information_score: 1865.1996, mean_absolute_error: 0.405, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.6357, predictive_accuracy: 0.6396, prior_entropy: 0.9882, recall: 0.6396, relative_absolute_error: 0.8234, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9771, scimark_benchmark: 1336.4564, usercpu_time_millis: 3500, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 2960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8613, kappa: 0.7176, kb_relative_information_score: 6346.9617, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.4918, number_of_instances: 10000, precision: 0.8614, predictive_accuracy: 0.8616, prior_entropy: 0.9882, recall: 0.8616, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.62, scimark_benchmark: 1347.7267, usercpu_time_millis: 140, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 40,

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