OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 131653 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5134, kb_relative_information_score: 0.2602, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1825.7178, usercpu_time_millis: 0.592, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 0.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7918, f_measure: 0.7185, kappa: 0.366, kb_relative_information_score: 122.6179, mean_absolute_error: 0.3917, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.726, predictive_accuracy: 0.7344, prior_entropy: 0.9335, recall: 0.7344, relative_absolute_error: 0.8618, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8983, scimark_benchmark: 1868.7112, usercpu_time_millis: 0.764, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 0.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8157, f_measure: 0.7359, kappa: 0.4055, kb_relative_information_score: 126.4578, mean_absolute_error: 0.3908, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7653, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.8887, scimark_benchmark: 1829.1442, usercpu_time_millis: 0.956, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 0.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1047, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1822.7799, usercpu_time_millis: 0.917, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 0.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.7695, kappa: 0.4839, kb_relative_information_score: 212.9449, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.7416, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8335, scimark_benchmark: 1865.3572, usercpu_time_millis: 4.919, usercpu_time_millis_testing: 0.64, usercpu_time_millis_training: 4.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.5134, kb_relative_information_score: 0.1791, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1871.4349, usercpu_time_millis: 1.287, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 1.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.7537, kappa: 0.4458, kb_relative_information_score: 166.4514, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7613, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.8055, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8574, scimark_benchmark: 1823.238, usercpu_time_millis: 1.224, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 1.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.7666, kappa: 0.4794, kb_relative_information_score: 245.0056, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.766, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6942, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.8269, scimark_benchmark: 1873.9387, usercpu_time_millis: 3.666, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 3.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7601, kappa: 0.4651, kb_relative_information_score: 248.1893, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7592, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6887, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.8257, scimark_benchmark: 1876.7581, usercpu_time_millis: 1.496, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 1.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.7452, kappa: 0.4276, kb_relative_information_score: 187.3216, mean_absolute_error: 0.3528, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7486, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8483, scimark_benchmark: 1875.375, usercpu_time_millis: 2.38, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 2.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.7493, kappa: 0.4354, kb_relative_information_score: 158.3397, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7594, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8619, scimark_benchmark: 1867.6581, usercpu_time_millis: 2.398, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 2.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.7186, kappa: 0.3688, kb_relative_information_score: 160.3398, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7187, predictive_accuracy: 0.7279, prior_entropy: 0.9335, recall: 0.7279, relative_absolute_error: 0.8102, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.419, root_relative_squared_error: 0.879, scimark_benchmark: 1874.4489, usercpu_time_millis: 0.539, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.7721, kappa: 0.4922, kb_relative_information_score: 218.7365, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7715, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.7326, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8327, scimark_benchmark: 1865.8853, usercpu_time_millis: 3.929, usercpu_time_millis_testing: 0.587, usercpu_time_millis_training: 3.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.7348, kappa: 0.4043, kb_relative_information_score: 177.6478, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.737, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.7873, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8642, scimark_benchmark: 1856.4738, usercpu_time_millis: 2.519, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 2.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7636, kappa: 0.4726, kb_relative_information_score: 238.17, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7631, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7042, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8302, scimark_benchmark: 1835.093, usercpu_time_millis: 5.184, usercpu_time_millis_testing: 0.576, usercpu_time_millis_training: 4.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.769, kappa: 0.4832, kb_relative_information_score: 230.621, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7696, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.716, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.8283, scimark_benchmark: 1821.7903, usercpu_time_millis: 3.058, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 2.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7588, kappa: 0.4599, kb_relative_information_score: 221.2178, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7598, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7284, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.399, root_relative_squared_error: 0.837, scimark_benchmark: 1865.9431, usercpu_time_millis: 3.775, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 3.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7612, kappa: 0.4689, kb_relative_information_score: 255.5017, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.76, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6765, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.8258, scimark_benchmark: 1869.1029, usercpu_time_millis: 5.585, usercpu_time_millis_testing: 0.543, usercpu_time_millis_training: 5.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7591, kappa: 0.4649, kb_relative_information_score: 256.6031, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7578, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6742, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.83, scimark_benchmark: 1868.7112, usercpu_time_millis: 7.454, usercpu_time_millis_testing: 0.674, usercpu_time_millis_training: 6.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.763, kappa: 0.4676, kb_relative_information_score: 185.6933, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7673, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.7776, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8481, scimark_benchmark: 1819.3372, usercpu_time_millis: 3.023, usercpu_time_millis_testing: 0.428, usercpu_time_millis_training: 2.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.7568, kappa: 0.4587, kb_relative_information_score: 240.5523, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7557, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8316, scimark_benchmark: 1814.5036, usercpu_time_millis: 4.149, usercpu_time_millis_testing: 0.466, usercpu_time_millis_training: 3.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.768, kappa: 0.4828, kb_relative_information_score: 234.4707, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7674, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.8299, scimark_benchmark: 1862.932, usercpu_time_millis: 5.84, usercpu_time_millis_testing: 0.818, usercpu_time_millis_training: 5.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.7659, kappa: 0.4788, kb_relative_information_score: 229.8441, mean_absolute_error: 0.3258, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.765, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7168, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8296, scimark_benchmark: 1823.4294, usercpu_time_millis: 4.24, usercpu_time_millis_testing: 0.547, usercpu_time_millis_training: 3.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.7562, kappa: 0.4581, kb_relative_information_score: 246.7079, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7549, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6907, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.8261, scimark_benchmark: 1873.7029, usercpu_time_millis: 4.386, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 3.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.7619, kappa: 0.4717, kb_relative_information_score: 243.5298, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7608, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8352, scimark_benchmark: 1891.788, usercpu_time_millis: 4.035, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 3.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7659, kappa: 0.4788, kb_relative_information_score: 234.3096, mean_absolute_error: 0.3228, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.765, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7102, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.8294, scimark_benchmark: 1872.8797, usercpu_time_millis: 4.201, usercpu_time_millis_testing: 0.56, usercpu_time_millis_training: 3.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.7606, kappa: 0.4643, kb_relative_information_score: 234.8759, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7612, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.83, scimark_benchmark: 1847.1538, usercpu_time_millis: 5.561, usercpu_time_millis_testing: 0.517, usercpu_time_millis_training: 5.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7588, kappa: 0.464, kb_relative_information_score: 250.7883, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7576, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8297, scimark_benchmark: 1837.0728, usercpu_time_millis: 8.034, usercpu_time_millis_testing: 0.751, usercpu_time_millis_training: 7.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.7674, kappa: 0.4822, kb_relative_information_score: 223.1983, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7664, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7248, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.8325, scimark_benchmark: 1850.6792, usercpu_time_millis: 7.536, usercpu_time_millis_testing: 1.147, usercpu_time_millis_training: 6.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.7648, kappa: 0.4751, kb_relative_information_score: 245.1629, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7644, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6938, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.8268, scimark_benchmark: 1854.8318, usercpu_time_millis: 6.141, usercpu_time_millis_testing: 0.541, usercpu_time_millis_training: 5.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.7704, kappa: 0.4878, kb_relative_information_score: 203.8934, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.77, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.7516, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8407, scimark_benchmark: 1740.8392, usercpu_time_millis: 5.497, usercpu_time_millis_testing: 0.831, usercpu_time_millis_training: 4.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.7629, kappa: 0.4732, kb_relative_information_score: 252.0424, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7617, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.8274, scimark_benchmark: 1872.9496, usercpu_time_millis: 6.482, usercpu_time_millis_testing: 0.678, usercpu_time_millis_training: 5.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.7622, kappa: 0.4691, kb_relative_information_score: 242.5034, mean_absolute_error: 0.3173, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7617, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6982, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.8268, scimark_benchmark: 1891.3964, usercpu_time_millis: 5.473, usercpu_time_millis_testing: 0.525, usercpu_time_millis_training: 4.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7559, kappa: 0.4572, kb_relative_information_score: 245.7674, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7547, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6924, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.829, scimark_benchmark: 1867.7547, usercpu_time_millis: 5.316, usercpu_time_millis_testing: 0.679, usercpu_time_millis_training: 4.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7689, kappa: 0.4877, kb_relative_information_score: 249.8654, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7678, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.834, scimark_benchmark: 1869.8223, usercpu_time_millis: 8.716, usercpu_time_millis_testing: 1.029, usercpu_time_millis_training: 7.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.7681, kappa: 0.4849, kb_relative_information_score: 242.1897, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7671, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6967, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8322, scimark_benchmark: 1829.1442, usercpu_time_millis: 10.954, usercpu_time_millis_testing: 1.353, usercpu_time_millis_training: 9.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.7664, kappa: 0.4806, kb_relative_information_score: 246.7568, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6913, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.393, root_relative_squared_error: 0.8245, scimark_benchmark: 1866.1679, usercpu_time_millis: 8.181, usercpu_time_millis_testing: 1.024, usercpu_time_millis_training: 7.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.7631, kappa: 0.4742, kb_relative_information_score: 246.4526, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.762, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6882, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8381, scimark_benchmark: 1865.8853, usercpu_time_millis: 12.065, usercpu_time_millis_testing: 1.287, usercpu_time_millis_training: 10.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7434, f_measure: 0.7032, kappa: 0.3421, kb_relative_information_score: 236.5624, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7015, predictive_accuracy: 0.7057, prior_entropy: 0.9335, recall: 0.7057, relative_absolute_error: 0.6717, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4795, root_relative_squared_error: 1.0059, usercpu_time_millis: 0.339, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.7184, kappa: 0.3748, kb_relative_information_score: 238.6142, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7167, predictive_accuracy: 0.7214, prior_entropy: 0.9335, recall: 0.7214, relative_absolute_error: 0.6875, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.9134, usercpu_time_millis: 0.323, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7531, kappa: 0.4469, kb_relative_information_score: 194.649, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.892, usercpu_time_millis: 0.314, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.27,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.7567, kappa: 0.4623, kb_relative_information_score: 212.8838, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7559, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8777, usercpu_time_millis: 0.324, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.7167, kappa: 0.3641, kb_relative_information_score: 149.5879, mean_absolute_error: 0.3751, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7171, predictive_accuracy: 0.7266, prior_entropy: 0.9335, recall: 0.7266, relative_absolute_error: 0.8252, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.9297, usercpu_time_millis: 0.323, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.281,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.7567, kappa: 0.4623, kb_relative_information_score: 212.8838, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7559, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8777, usercpu_time_millis: 0.323, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.731, kappa: 0.3943, kb_relative_information_score: 166.5799, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7377, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9166, usercpu_time_millis: 0.329, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.731, kappa: 0.3943, kb_relative_information_score: 166.5799, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7377, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9166, usercpu_time_millis: 0.31, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.7436, kappa: 0.4246, kb_relative_information_score: 184.251, mean_absolute_error: 0.3569, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7456, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.7854, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.9019, usercpu_time_millis: 0.31, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.7358, kappa: 0.4091, kb_relative_information_score: 232.2282, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7351, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.7071, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.867, usercpu_time_millis: 0.32, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.6911, kappa: 0.3128, kb_relative_information_score: 187.6356, mean_absolute_error: 0.3391, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6887, predictive_accuracy: 0.6953, prior_entropy: 0.9335, recall: 0.6953, relative_absolute_error: 0.7461, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.9174, usercpu_time_millis: 5.34, usercpu_time_millis_testing: 0.438, usercpu_time_millis_training: 4.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7446, f_measure: 0.7089, kappa: 0.3516, kb_relative_information_score: 173.1657, mean_absolute_error: 0.3482, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7068, predictive_accuracy: 0.7135, prior_entropy: 0.9335, recall: 0.7135, relative_absolute_error: 0.7661, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.9318, usercpu_time_millis: 4.922, usercpu_time_millis_testing: 0.423, usercpu_time_millis_training: 4.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7581, f_measure: 0.6972, kappa: 0.3257, kb_relative_information_score: 191.7447, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6948, predictive_accuracy: 0.7018, prior_entropy: 0.9335, recall: 0.7018, relative_absolute_error: 0.7431, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.9262, usercpu_time_millis: 4.573, usercpu_time_millis_testing: 0.413, usercpu_time_millis_training: 4.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.6748, kappa: 0.2821, kb_relative_information_score: 142.0941, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6739, predictive_accuracy: 0.6758, prior_entropy: 0.9335, recall: 0.6758, relative_absolute_error: 0.7989, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.457, root_relative_squared_error: 0.9587, usercpu_time_millis: 4.757, usercpu_time_millis_testing: 0.531, usercpu_time_millis_training: 4.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7723, f_measure: 0.7242, kappa: 0.3887, kb_relative_information_score: 194.1797, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7227, predictive_accuracy: 0.7266, prior_entropy: 0.9335, recall: 0.7266, relative_absolute_error: 0.7424, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.911, usercpu_time_millis: 4.527, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 4.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.761, kappa: 0.4702, kb_relative_information_score: 254.6928, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7599, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6751, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.8404, usercpu_time_millis: 4.554, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 4.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.7626, kappa: 0.4723, kb_relative_information_score: 252.8984, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7615, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6767, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8433, usercpu_time_millis: 3.952, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 3.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.7684, kappa: 0.4859, kb_relative_information_score: 252.9939, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7673, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6755, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8417, usercpu_time_millis: 4.111, usercpu_time_millis_testing: 0.509, usercpu_time_millis_training: 3.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, f_measure: 0.7261, kappa: 0.3885, kb_relative_information_score: 206.1091, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7247, predictive_accuracy: 0.7318, prior_entropy: 0.9335, recall: 0.7318, relative_absolute_error: 0.7267, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9008, usercpu_time_millis: 5.024, usercpu_time_millis_testing: 0.428, usercpu_time_millis_training: 4.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.7696, kappa: 0.4883, kb_relative_information_score: 251.8264, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7685, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6822, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8332, usercpu_time_millis: 3.932, usercpu_time_millis_testing: 0.937, usercpu_time_millis_training: 2.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.7681, kappa: 0.4849, kb_relative_information_score: 255.4612, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7671, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6757, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8349, usercpu_time_millis: 4.098, usercpu_time_millis_testing: 0.738, usercpu_time_millis_training: 3.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, f_measure: 0.7161, kappa: 0.3701, kb_relative_information_score: 237.1591, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7144, predictive_accuracy: 0.7188, prior_entropy: 0.9335, recall: 0.7188, relative_absolute_error: 0.6882, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.9153, usercpu_time_millis: 0.335, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7449, f_measure: 0.7012, kappa: 0.3409, kb_relative_information_score: 223.449, mean_absolute_error: 0.3157, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7006, predictive_accuracy: 0.7018, prior_entropy: 0.9335, recall: 0.7018, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4811, root_relative_squared_error: 1.0093, usercpu_time_millis: 0.34, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.6916, kappa: 0.325, kb_relative_information_score: 222.0202, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6935, predictive_accuracy: 0.6901, prior_entropy: 0.9335, recall: 0.6901, relative_absolute_error: 0.6833, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5552, root_relative_squared_error: 1.1649, usercpu_time_millis: 0.339, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.7066, kappa: 0.3535, kb_relative_information_score: 242.3316, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7063, predictive_accuracy: 0.707, prior_entropy: 0.9335, recall: 0.707, relative_absolute_error: 0.6647, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4911, root_relative_squared_error: 1.0302, usercpu_time_millis: 0.327, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.731, kappa: 0.3943, kb_relative_information_score: 166.5799, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7377, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9166, usercpu_time_millis: 0.448, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.409,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.731, kappa: 0.3943, kb_relative_information_score: 166.5799, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7377, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9166, usercpu_time_millis: 0.304, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7531, kappa: 0.4469, kb_relative_information_score: 194.649, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.892, usercpu_time_millis: 0.322, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7531, kappa: 0.4469, kb_relative_information_score: 194.649, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.892, usercpu_time_millis: 0.323, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7402, f_measure: 0.7503, kappa: 0.4414, kb_relative_information_score: 197.7769, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7502, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.7658, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.8921, usercpu_time_millis: 0.322, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.731, kappa: 0.3943, kb_relative_information_score: 166.5799, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7377, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9166, usercpu_time_millis: 0.327, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.7155, kappa: 0.3679, kb_relative_information_score: 244.4732, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7136, predictive_accuracy: 0.7188, prior_entropy: 0.9335, recall: 0.7188, relative_absolute_error: 0.6759, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.9175, usercpu_time_millis: 0.324, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.756, kappa: 0.4595, kb_relative_information_score: 259.677, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7549, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8628, usercpu_time_millis: 0.454, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.7358, kappa: 0.4091, kb_relative_information_score: 232.2282, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7351, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.7071, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.867, usercpu_time_millis: 0.316, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7496, f_measure: 0.7434, kappa: 0.4259, kb_relative_information_score: 207.4744, mean_absolute_error: 0.3398, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7432, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8968, usercpu_time_millis: 0.32, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7536, f_measure: 0.7518, kappa: 0.4464, kb_relative_information_score: 202.9581, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7509, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.7575, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.423, root_relative_squared_error: 0.8875, usercpu_time_millis: 0.315, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.7099, kappa: 0.3594, kb_relative_information_score: 245.12, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.709, predictive_accuracy: 0.7109, prior_entropy: 0.9335, recall: 0.7109, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4893, root_relative_squared_error: 1.0266, usercpu_time_millis: 0.329, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.7573, kappa: 0.4564, kb_relative_information_score: 204.1927, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7584, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8443, usercpu_time_millis: 3.938, usercpu_time_millis_testing: 1.79, usercpu_time_millis_training: 2.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7312, f_measure: 0.6824, kappa: 0.2897, kb_relative_information_score: 155.5755, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6798, predictive_accuracy: 0.6901, prior_entropy: 0.9335, recall: 0.6901, relative_absolute_error: 0.7868, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.448, root_relative_squared_error: 0.9398, usercpu_time_millis: 4.375, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 3.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, f_measure: 0.712, kappa: 0.3576, kb_relative_information_score: 178.6928, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7101, predictive_accuracy: 0.7174, prior_entropy: 0.9335, recall: 0.7174, relative_absolute_error: 0.7609, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.9205, usercpu_time_millis: 4.623, usercpu_time_millis_testing: 0.419, usercpu_time_millis_training: 4.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.7163, kappa: 0.3691, kb_relative_information_score: 192.2342, mean_absolute_error: 0.3382, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7144, predictive_accuracy: 0.7201, prior_entropy: 0.9335, recall: 0.7201, relative_absolute_error: 0.7442, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.911, usercpu_time_millis: 4.78, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 4.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.766, kappa: 0.4809, kb_relative_information_score: 254.7305, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7649, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.674, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8406, usercpu_time_millis: 4.33, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 4.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7831, f_measure: 0.7179, kappa: 0.3686, kb_relative_information_score: 201.4899, mean_absolute_error: 0.3347, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7168, predictive_accuracy: 0.7253, prior_entropy: 0.9335, recall: 0.7253, relative_absolute_error: 0.7364, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.8831, usercpu_time_millis: 4.039, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 3.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.7619, kappa: 0.4717, kb_relative_information_score: 254.1068, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7608, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.8405, usercpu_time_millis: 4.151, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 3.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.7717, kappa: 0.4944, kb_relative_information_score: 252.3592, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7707, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6777, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8439, usercpu_time_millis: 4.333, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 3.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.7608, kappa: 0.4693, kb_relative_information_score: 253.7102, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7596, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4008, root_relative_squared_error: 0.8409, usercpu_time_millis: 4.087, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 3.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.7565, kappa: 0.4577, kb_relative_information_score: 246.8827, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7555, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.6827, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8554, usercpu_time_millis: 4.681, usercpu_time_millis_testing: 0.545, usercpu_time_millis_training: 4.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7608, kappa: 0.4693, kb_relative_information_score: 253.6857, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7596, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6755, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8424, usercpu_time_millis: 4.378, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 3.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.7672, kappa: 0.4834, kb_relative_information_score: 255.1516, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7661, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.84, usercpu_time_millis: 4.096, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 3.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.772, kappa: 0.4933, kb_relative_information_score: 248.534, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.6885, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8295, usercpu_time_millis: 3.559, usercpu_time_millis_testing: 0.713, usercpu_time_millis_training: 2.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, build_cpu_time: 1.0875, build_memory: 35414184.3438, f_measure: 0.7522, kappa: 0.4513, kb_relative_information_score: 337.6225, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7511, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9839, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, build_cpu_time: 1.096, build_memory: 53171710.4167, f_measure: 0.7522, kappa: 0.4513, kb_relative_information_score: 337.6225, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7511, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9839, scimark_benchmark: 947.8147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, build_cpu_time: 0.0694, build_memory: 1463453577.4271, f_measure: 0.6811, kappa: 0.2932, kb_relative_information_score: 208.3654, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6792, predictive_accuracy: 0.6836, prior_entropy: 0.9335, recall: 0.6836, relative_absolute_error: 0.7026, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5131, root_relative_squared_error: 1.0766, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, build_cpu_time: 0.2917, build_memory: 967226336.3646, f_measure: 0.6988, kappa: 0.3363, kb_relative_information_score: 232.3889, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6984, predictive_accuracy: 0.6992, prior_entropy: 0.9335, recall: 0.6992, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5322, root_relative_squared_error: 1.1166, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, build_cpu_time: 0.3067, build_memory: 2001673930.1563, f_measure: 0.7647, kappa: 0.4763, kb_relative_information_score: 257.6479, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7637, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6726, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.837, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, build_cpu_time: 0.0595, build_memory: 903980091.7708, f_measure: 0.761, kappa: 0.4666, kb_relative_information_score: 270.7828, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7604, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6532, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8732, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, build_cpu_time: 0.0487, build_memory: 1284523356.1146, f_measure: 0.7586, kappa: 0.4617, kb_relative_information_score: 270.2857, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7578, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6537, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8737, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, build_cpu_time: 0.0945, build_memory: 369778086.0729, f_measure: 0.761, kappa: 0.4666, kb_relative_information_score: 270.7828, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7604, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6532, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8732, scimark_benchmark: 909.5718,

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