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Supervised Classification on credit-g

Supervised Classification on credit-g

Task 145972 Supervised Classification credit-g 82359 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7526, kappa: 0.393, kb_relative_information_score: 213.1695, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.752, predictive_accuracy: 0.764, prior_entropy: 0.8818, recall: 0.764, relative_absolute_error: 0.7765, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8826, scimark_benchmark: 1793.992, usercpu_time_millis: 21.003, usercpu_time_millis_testing: 1.008, usercpu_time_millis_training: 19.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.6911, kappa: 0.2358, kb_relative_information_score: 140.5584, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7378, predictive_accuracy: 0.742, prior_entropy: 0.8818, recall: 0.742, relative_absolute_error: 0.8599, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.9011, scimark_benchmark: 1742.9568, usercpu_time_millis: 3.23, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 2.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7754, f_measure: 0.7501, kappa: 0.3896, kb_relative_information_score: 225.8, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7479, predictive_accuracy: 0.759, prior_entropy: 0.8818, recall: 0.759, relative_absolute_error: 0.7547, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8959, scimark_benchmark: 1742.2189, usercpu_time_millis: 3.196, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 3.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7873, f_measure: 0.7341, kappa: 0.3413, kb_relative_information_score: 168.9948, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7414, predictive_accuracy: 0.756, prior_entropy: 0.8818, recall: 0.756, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8881, scimark_benchmark: 1746.226, usercpu_time_millis: 1.381, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 1.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7883, f_measure: 0.7598, kappa: 0.4125, kb_relative_information_score: 210.802, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7584, predictive_accuracy: 0.769, prior_entropy: 0.8818, recall: 0.769, relative_absolute_error: 0.7788, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8819, scimark_benchmark: 1741.2968, usercpu_time_millis: 11.462, usercpu_time_millis_testing: 0.562, usercpu_time_millis_training: 10.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: -0.1217, mean_absolute_error: 0.4201, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1746.6883, usercpu_time_millis: 0.545, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7679, f_measure: 0.6517, kappa: 0.1481, kb_relative_information_score: 110.6302, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7235, predictive_accuracy: 0.725, prior_entropy: 0.8818, recall: 0.725, relative_absolute_error: 0.8794, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.9182, scimark_benchmark: 1734.6721, usercpu_time_millis: 2.955, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 2.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.761, kappa: 0.4157, kb_relative_information_score: 218.0886, mean_absolute_error: 0.3238, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7596, predictive_accuracy: 0.77, prior_entropy: 0.8818, recall: 0.77, relative_absolute_error: 0.7707, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8806, scimark_benchmark: 1808.4128, usercpu_time_millis: 11.298, usercpu_time_millis_testing: 0.583, usercpu_time_millis_training: 10.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.7291, kappa: 0.3281, kb_relative_information_score: 177.2546, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7378, predictive_accuracy: 0.753, prior_entropy: 0.8818, recall: 0.753, relative_absolute_error: 0.8186, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8896, scimark_benchmark: 1748.9915, usercpu_time_millis: 1.381, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 1.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.5765, kb_relative_information_score: 69.5195, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.9385, scimark_benchmark: 1749.4413, usercpu_time_millis: 2.541, usercpu_time_millis_testing: 0.305, usercpu_time_millis_training: 2.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.7457, kappa: 0.371, kb_relative_information_score: 198.6132, mean_absolute_error: 0.3346, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7511, predictive_accuracy: 0.764, prior_entropy: 0.8818, recall: 0.764, relative_absolute_error: 0.7964, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8781, scimark_benchmark: 1701.3425, usercpu_time_millis: 1.44, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 1.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.5765, kb_relative_information_score: 73.8451, mean_absolute_error: 0.3918, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9325, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.9418, scimark_benchmark: 1741.2968, usercpu_time_millis: 2.146, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 1.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.5765, kb_relative_information_score: 73.1416, mean_absolute_error: 0.3922, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9336, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.9424, scimark_benchmark: 1740.8392, usercpu_time_millis: 2.684, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 2.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.7051, kappa: 0.2673, kb_relative_information_score: 131.2733, mean_absolute_error: 0.3608, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7187, predictive_accuracy: 0.738, prior_entropy: 0.8818, recall: 0.738, relative_absolute_error: 0.8587, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.9132, scimark_benchmark: 1730.464, usercpu_time_millis: 0.241, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.7537, kappa: 0.3967, kb_relative_information_score: 219.1994, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7525, predictive_accuracy: 0.764, prior_entropy: 0.8818, recall: 0.764, relative_absolute_error: 0.771, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8802, scimark_benchmark: 740.8647, usercpu_time_millis: 33.552, usercpu_time_millis_testing: 1.707, usercpu_time_millis_training: 31.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.7528, kappa: 0.3948, kb_relative_information_score: 224.8457, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7514, predictive_accuracy: 0.763, prior_entropy: 0.8818, recall: 0.763, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8877, scimark_benchmark: 1704.2892, usercpu_time_millis: 23.182, usercpu_time_millis_testing: 1.68, usercpu_time_millis_training: 21.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.7444, kappa: 0.3684, kb_relative_information_score: 186.5541, mean_absolute_error: 0.339, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7486, predictive_accuracy: 0.762, prior_entropy: 0.8818, recall: 0.762, relative_absolute_error: 0.8068, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8853, scimark_benchmark: 1705.5514, usercpu_time_millis: 5.052, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 4.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.7363, kappa: 0.3467, kb_relative_information_score: 181.2014, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.744, predictive_accuracy: 0.758, prior_entropy: 0.8818, recall: 0.758, relative_absolute_error: 0.8187, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8815, scimark_benchmark: 1733.6832, usercpu_time_millis: 1.111, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 0.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7496, kappa: 0.3816, kb_relative_information_score: 191.6098, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7534, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.8058, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8755, scimark_benchmark: 1786.9303, usercpu_time_millis: 7.138, usercpu_time_millis_testing: 0.608, usercpu_time_millis_training: 6.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, f_measure: 0.7431, kappa: 0.3658, kb_relative_information_score: 191.0592, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7462, predictive_accuracy: 0.76, prior_entropy: 0.8818, recall: 0.76, relative_absolute_error: 0.8023, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8885, scimark_benchmark: 1748.2025, usercpu_time_millis: 9.789, usercpu_time_millis_testing: 0.576, usercpu_time_millis_training: 9.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7268, kappa: 0.3212, kb_relative_information_score: 176.6656, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.746, predictive_accuracy: 0.757, prior_entropy: 0.8818, recall: 0.757, relative_absolute_error: 0.8258, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8812, scimark_benchmark: 1715.1741, usercpu_time_millis: 7.248, usercpu_time_millis_testing: 0.734, usercpu_time_millis_training: 6.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, f_measure: 0.7577, kappa: 0.4053, kb_relative_information_score: 220.435, mean_absolute_error: 0.3228, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7576, predictive_accuracy: 0.769, prior_entropy: 0.8818, recall: 0.769, relative_absolute_error: 0.7683, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.887, scimark_benchmark: 1748.0665, usercpu_time_millis: 7.303, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 6.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.6238, kappa: 0.0956, kb_relative_information_score: 105.9262, mean_absolute_error: 0.3788, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7756, predictive_accuracy: 0.72, prior_entropy: 0.8818, recall: 0.72, relative_absolute_error: 0.9017, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.9197, scimark_benchmark: 1743.3016, usercpu_time_millis: 3.086, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 2.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7291, kappa: 0.3281, kb_relative_information_score: 175.2827, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7378, predictive_accuracy: 0.753, prior_entropy: 0.8818, recall: 0.753, relative_absolute_error: 0.8239, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8861, scimark_benchmark: 1735.7783, usercpu_time_millis: 1.345, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 1.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7804, f_measure: 0.741, kappa: 0.3597, kb_relative_information_score: 187.7068, mean_absolute_error: 0.3378, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7449, predictive_accuracy: 0.759, prior_entropy: 0.8818, recall: 0.759, relative_absolute_error: 0.8039, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8902, scimark_benchmark: 1742.9068, usercpu_time_millis: 0.856, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.7508, kappa: 0.3855, kb_relative_information_score: 204.8709, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7534, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.7901, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8769, scimark_benchmark: 1727.5559, usercpu_time_millis: 4.26, usercpu_time_millis_testing: 0.334, usercpu_time_millis_training: 3.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.7547, kappa: 0.4004, kb_relative_information_score: 220.0871, mean_absolute_error: 0.3227, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.753, predictive_accuracy: 0.764, prior_entropy: 0.8818, recall: 0.764, relative_absolute_error: 0.7679, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8827, scimark_benchmark: 1888.0613, usercpu_time_millis: 20.941, usercpu_time_millis_testing: 1.087, usercpu_time_millis_training: 19.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7884, f_measure: 0.7423, kappa: 0.3631, kb_relative_information_score: 192.0903, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7461, predictive_accuracy: 0.76, prior_entropy: 0.8818, recall: 0.76, relative_absolute_error: 0.8027, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8831, scimark_benchmark: 1760.9238, usercpu_time_millis: 7.117, usercpu_time_millis_testing: 0.553, usercpu_time_millis_training: 6.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.789, f_measure: 0.6992, kappa: 0.2544, kb_relative_information_score: 146.7576, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7383, predictive_accuracy: 0.745, prior_entropy: 0.8818, recall: 0.745, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8975, scimark_benchmark: 1867.1999, usercpu_time_millis: 3.048, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 2.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7852, f_measure: 0.7544, kappa: 0.3992, kb_relative_information_score: 208.0089, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7528, predictive_accuracy: 0.764, prior_entropy: 0.8818, recall: 0.764, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8857, scimark_benchmark: 1750.6768, usercpu_time_millis: 6.593, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 6.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7032, f_measure: 0.5765, kb_relative_information_score: 77.2152, mean_absolute_error: 0.3737, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.8895, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.9407, scimark_benchmark: 1865.7127, usercpu_time_millis: 2.046, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 1.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7769, f_measure: 0.5765, kb_relative_information_score: 59.4354, mean_absolute_error: 0.3963, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9432, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.9507, scimark_benchmark: 1866.2865, usercpu_time_millis: 0.655, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 0.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.5765, kb_relative_information_score: 81.5807, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.9319, scimark_benchmark: 1748.3721, usercpu_time_millis: 2.208, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 1.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.7636, kappa: 0.4195, kb_relative_information_score: 210.9273, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7642, predictive_accuracy: 0.775, prior_entropy: 0.8818, recall: 0.775, relative_absolute_error: 0.7817, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8773, scimark_benchmark: 1968.9361, usercpu_time_millis: 8.871, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 8.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7533, kappa: 0.3926, kb_relative_information_score: 210.6825, mean_absolute_error: 0.3305, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7547, predictive_accuracy: 0.767, prior_entropy: 0.8818, recall: 0.767, relative_absolute_error: 0.7865, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8732, scimark_benchmark: 1969.2054, usercpu_time_millis: 7.527, usercpu_time_millis_testing: 0.53, usercpu_time_millis_training: 6.997,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.6492, kappa: 0.1477, kb_relative_information_score: 127.2134, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7642, predictive_accuracy: 0.73, prior_entropy: 0.8818, recall: 0.73, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.416, root_relative_squared_error: 0.9077, scimark_benchmark: 1867.1999, usercpu_time_millis: 10.151, usercpu_time_millis_testing: 1.115, usercpu_time_millis_training: 9.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.7447, kappa: 0.3683, kb_relative_information_score: 194.691, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7512, predictive_accuracy: 0.764, prior_entropy: 0.8818, recall: 0.764, relative_absolute_error: 0.8053, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8755, scimark_benchmark: 1866.8117, usercpu_time_millis: 11.439, usercpu_time_millis_testing: 0.977, usercpu_time_millis_training: 10.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.7288, kappa: 0.3275, kb_relative_information_score: 176.5882, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7364, predictive_accuracy: 0.752, prior_entropy: 0.8818, recall: 0.752, relative_absolute_error: 0.8182, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.89, scimark_benchmark: 1726.8297, usercpu_time_millis: 5.725, usercpu_time_millis_testing: 0.501, usercpu_time_millis_training: 5.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.7257, kappa: 0.3202, kb_relative_information_score: 166.3727, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7325, predictive_accuracy: 0.749, prior_entropy: 0.8818, recall: 0.749, relative_absolute_error: 0.8242, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8977, scimark_benchmark: 1736.3128, usercpu_time_millis: 3.934, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 3.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.725, kappa: 0.3166, kb_relative_information_score: 166.1992, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7473, predictive_accuracy: 0.757, prior_entropy: 0.8818, recall: 0.757, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8859, scimark_benchmark: 1878.6257, usercpu_time_millis: 3.124, usercpu_time_millis_testing: 0.348, usercpu_time_millis_training: 2.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7728, f_measure: 0.679, kappa: 0.2063, kb_relative_information_score: 126.1924, mean_absolute_error: 0.3625, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7211, predictive_accuracy: 0.733, prior_entropy: 0.8818, recall: 0.733, relative_absolute_error: 0.8628, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.9117, scimark_benchmark: 1781.6835, usercpu_time_millis: 0.887, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.6052, kappa: 0.054, kb_relative_information_score: 100.3863, mean_absolute_error: 0.3792, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.717, predictive_accuracy: 0.709, prior_entropy: 0.8818, recall: 0.709, relative_absolute_error: 0.9024, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.423, root_relative_squared_error: 0.923, scimark_benchmark: 1748.6405, usercpu_time_millis: 0.408, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.7407, kappa: 0.3575, kb_relative_information_score: 195.7212, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7491, predictive_accuracy: 0.762, prior_entropy: 0.8818, recall: 0.762, relative_absolute_error: 0.8026, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.403, root_relative_squared_error: 0.8795, scimark_benchmark: 1855.0776, usercpu_time_millis: 9.971, usercpu_time_millis_testing: 0.863, usercpu_time_millis_training: 9.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.6537, kappa: 0.1503, kb_relative_information_score: 108.0103, mean_absolute_error: 0.3678, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7114, predictive_accuracy: 0.723, prior_entropy: 0.8818, recall: 0.723, relative_absolute_error: 0.8754, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.9214, scimark_benchmark: 1744.1199, usercpu_time_millis: 0.653, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 0.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, f_measure: 0.6973, kappa: 0.2481, kb_relative_information_score: 139.7425, mean_absolute_error: 0.3552, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7057, predictive_accuracy: 0.729, prior_entropy: 0.8818, recall: 0.729, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4186, root_relative_squared_error: 0.9135, scimark_benchmark: 1858.3038, usercpu_time_millis: 2.441, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 2.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.7264, kappa: 0.3203, kb_relative_information_score: 170.6128, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7562, predictive_accuracy: 0.761, prior_entropy: 0.8818, recall: 0.761, relative_absolute_error: 0.8357, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8818, scimark_benchmark: 1857.269, usercpu_time_millis: 4.501, usercpu_time_millis_testing: 0.494, usercpu_time_millis_training: 4.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.726, kappa: 0.3192, kb_relative_information_score: 175.3041, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7444, predictive_accuracy: 0.756, prior_entropy: 0.8818, recall: 0.756, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8833, scimark_benchmark: 1857.465, usercpu_time_millis: 3.481, usercpu_time_millis_testing: 0.337, usercpu_time_millis_training: 3.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7773, f_measure: 0.7304, kappa: 0.3328, kb_relative_information_score: 176.6242, mean_absolute_error: 0.3426, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.735, predictive_accuracy: 0.751, prior_entropy: 0.8818, recall: 0.751, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.894, scimark_benchmark: 1856.3619, usercpu_time_millis: 2.439, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 2.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.362, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1845.4779, usercpu_time_millis: 1.282, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 1.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7491, kappa: 0.3803, kb_relative_information_score: 192.8303, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7534, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.8037, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8801, scimark_benchmark: 1850.6652, usercpu_time_millis: 2.917, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 2.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.7423, kappa: 0.3631, kb_relative_information_score: 187.1297, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7461, predictive_accuracy: 0.76, prior_entropy: 0.8818, recall: 0.76, relative_absolute_error: 0.8055, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8861, scimark_benchmark: 1849.0806, usercpu_time_millis: 2.964, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 2.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.5783, kappa: 0.0027, kb_relative_information_score: 89.5627, mean_absolute_error: 0.3851, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6403, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9166, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.9304, scimark_benchmark: 1856.7467, usercpu_time_millis: 2.064, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 1.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7487, kappa: 0.3803, kb_relative_information_score: 208.0331, mean_absolute_error: 0.3307, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.751, predictive_accuracy: 0.764, prior_entropy: 0.8818, recall: 0.764, relative_absolute_error: 0.7871, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8771, scimark_benchmark: 1724.0123, usercpu_time_millis: 9.735, usercpu_time_millis_testing: 0.798, usercpu_time_millis_training: 8.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7283, kappa: 0.3252, kb_relative_information_score: 181.8447, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7432, predictive_accuracy: 0.756, prior_entropy: 0.8818, recall: 0.756, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8801, scimark_benchmark: 1854.7429, usercpu_time_millis: 14.934, usercpu_time_millis_testing: 1.564, usercpu_time_millis_training: 13.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.6504, kappa: 0.1499, kb_relative_information_score: 123.5051, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7597, predictive_accuracy: 0.73, prior_entropy: 0.8818, recall: 0.73, relative_absolute_error: 0.8854, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9085, scimark_benchmark: 1737.4285, usercpu_time_millis: 5.81, usercpu_time_millis_testing: 0.891, usercpu_time_millis_training: 4.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.7291, kappa: 0.3272, kb_relative_information_score: 179.8357, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7447, predictive_accuracy: 0.757, prior_entropy: 0.8818, recall: 0.757, relative_absolute_error: 0.8215, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8814, scimark_benchmark: 1861.5697, usercpu_time_millis: 1.982, usercpu_time_millis_testing: 0.331, usercpu_time_millis_training: 1.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.662, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1857.7844, usercpu_time_millis: 0.492, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.7016, kappa: 0.2602, kb_relative_information_score: 153.5779, mean_absolute_error: 0.3574, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7419, predictive_accuracy: 0.747, prior_entropy: 0.8818, recall: 0.747, relative_absolute_error: 0.8507, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8921, scimark_benchmark: 1816.4992, usercpu_time_millis: 9.209, usercpu_time_millis_testing: 0.93, usercpu_time_millis_training: 8.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.7465, kappa: 0.3723, kb_relative_information_score: 196.5429, mean_absolute_error: 0.3378, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7538, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.8039, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4008, root_relative_squared_error: 0.8746, scimark_benchmark: 2151.1574, usercpu_time_millis: 8.557, usercpu_time_millis_testing: 0.899, usercpu_time_millis_training: 7.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7826, f_measure: 0.6234, kappa: 0.0918, kb_relative_information_score: 108.9635, mean_absolute_error: 0.3757, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7382, predictive_accuracy: 0.717, prior_entropy: 0.8818, recall: 0.717, relative_absolute_error: 0.8942, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.918, scimark_benchmark: 1817.9868, usercpu_time_millis: 3.988, usercpu_time_millis_testing: 0.465, usercpu_time_millis_training: 3.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.7355, kappa: 0.343, kb_relative_information_score: 174.277, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7555, predictive_accuracy: 0.764, prior_entropy: 0.8818, recall: 0.764, relative_absolute_error: 0.8277, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8833, scimark_benchmark: 1759.0098, usercpu_time_millis: 3.732, usercpu_time_millis_testing: 0.403, usercpu_time_millis_training: 3.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.1778, mean_absolute_error: 0.4201, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1818.4842, usercpu_time_millis: 1.899, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 1.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: -0.6059, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1816.0044, usercpu_time_millis: 0.717, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.68, kappa: 0.2134, kb_relative_information_score: 131.061, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7563, predictive_accuracy: 0.742, prior_entropy: 0.8818, recall: 0.742, relative_absolute_error: 0.8748, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.9038, scimark_benchmark: 1805.4762, usercpu_time_millis: 0.616, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: -1.1182, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1691.7963, usercpu_time_millis: 0.645, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: -0.0451, mean_absolute_error: 0.4201, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1741.2056, usercpu_time_millis: 0.814, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 0.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.7392, kappa: 0.355, kb_relative_information_score: 207.5802, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7437, predictive_accuracy: 0.758, prior_entropy: 0.8818, recall: 0.758, relative_absolute_error: 0.7879, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8777, scimark_benchmark: 1823.4215, usercpu_time_millis: 18.868, usercpu_time_millis_testing: 1.614, usercpu_time_millis_training: 17.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.6074, kappa: 0.0621, kb_relative_information_score: 103.0038, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7768, predictive_accuracy: 0.713, prior_entropy: 0.8818, recall: 0.713, relative_absolute_error: 0.9048, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.9213, scimark_benchmark: 1827.9573, usercpu_time_millis: 4.134, usercpu_time_millis_testing: 0.636, usercpu_time_millis_training: 3.498,

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