OpenML
Supervised Classification on phoneme

Supervised Classification on phoneme

Task 145857 Supervised Classification phoneme 102354 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

102354 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.8324, kappa: 0.5881, kb_relative_information_score: 2012.4396, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.832, predictive_accuracy: 0.8364, prior_entropy: 0.8733, recall: 0.8364, relative_absolute_error: 0.6351, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.7498, scimark_benchmark: 1752.1591, usercpu_time_millis: 3.371, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 3.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8538, kappa: 0.6427, kb_relative_information_score: 2231.6612, mean_absolute_error: 0.2475, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8532, predictive_accuracy: 0.856, prior_entropy: 0.8733, recall: 0.856, relative_absolute_error: 0.5967, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.7228, scimark_benchmark: 1898.9057, usercpu_time_millis: 25.561, usercpu_time_millis_testing: 1.681, usercpu_time_millis_training: 23.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.7736, kappa: 0.4574, kb_relative_information_score: 1140.6806, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7751, predictive_accuracy: 0.7724, prior_entropy: 0.8733, recall: 0.7724, relative_absolute_error: 0.7759, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.8627, scimark_benchmark: 1750.8922, usercpu_time_millis: 4.869, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 4.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.7826, kappa: 0.4687, kb_relative_information_score: 1416.6322, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7807, predictive_accuracy: 0.7861, prior_entropy: 0.8733, recall: 0.7861, relative_absolute_error: 0.7358, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.8283, scimark_benchmark: 1894.1971, usercpu_time_millis: 5.456, usercpu_time_millis_testing: 0.502, usercpu_time_millis_training: 4.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.585, kb_relative_information_score: 0.1028, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1780.5696, usercpu_time_millis: 6.943, usercpu_time_millis_testing: 1.16, usercpu_time_millis_training: 5.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.895, kappa: 0.7459, kb_relative_information_score: 3112.7047, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8947, predictive_accuracy: 0.8954, prior_entropy: 0.8733, recall: 0.8954, relative_absolute_error: 0.4409, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.6168, scimark_benchmark: 1724.528, usercpu_time_millis: 66.758, usercpu_time_millis_testing: 3.452, usercpu_time_millis_training: 63.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8947, kappa: 0.7449, kb_relative_information_score: 2968.981, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8944, predictive_accuracy: 0.8953, prior_entropy: 0.8733, recall: 0.8953, relative_absolute_error: 0.47, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2856, root_relative_squared_error: 0.6273, scimark_benchmark: 1064.6592, usercpu_time_millis: 33.807, usercpu_time_millis_testing: 2.352, usercpu_time_millis_training: 31.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.9023, kappa: 0.763, kb_relative_information_score: 3100.7604, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.902, predictive_accuracy: 0.9029, prior_entropy: 0.8733, recall: 0.9029, relative_absolute_error: 0.4462, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2778, root_relative_squared_error: 0.6102, scimark_benchmark: 1516.1114, usercpu_time_millis: 28.569, usercpu_time_millis_testing: 1.756, usercpu_time_millis_training: 26.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8532, kappa: 0.642, kb_relative_information_score: 2417.9615, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8525, predictive_accuracy: 0.8551, prior_entropy: 0.8733, recall: 0.8551, relative_absolute_error: 0.5579, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.7152, scimark_benchmark: 1723.567, usercpu_time_millis: 33.034, usercpu_time_millis_testing: 1.113, usercpu_time_millis_training: 31.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.8093, kappa: 0.5353, kb_relative_information_score: 1810.411, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.808, predictive_accuracy: 0.8116, prior_entropy: 0.8733, recall: 0.8116, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3553, root_relative_squared_error: 0.7803, scimark_benchmark: 1731.9625, usercpu_time_millis: 10.668, usercpu_time_millis_testing: 0.583, usercpu_time_millis_training: 10.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9065, kappa: 0.774, kb_relative_information_score: 3399.2758, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9063, predictive_accuracy: 0.9067, prior_entropy: 0.8733, recall: 0.9067, relative_absolute_error: 0.3862, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2651, root_relative_squared_error: 0.5822, scimark_benchmark: 1727.4447, usercpu_time_millis: 8.718, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 8.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.8984, kappa: 0.7543, kb_relative_information_score: 3273.6447, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8982, predictive_accuracy: 0.8988, prior_entropy: 0.8733, recall: 0.8988, relative_absolute_error: 0.4074, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.6048, scimark_benchmark: 1786.028, usercpu_time_millis: 117.096, usercpu_time_millis_testing: 2.393, usercpu_time_millis_training: 114.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.8986, kappa: 0.7545, kb_relative_information_score: 3342.0847, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8983, predictive_accuracy: 0.899, prior_entropy: 0.8733, recall: 0.899, relative_absolute_error: 0.3914, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.6022, scimark_benchmark: 1726.1829, usercpu_time_millis: 126.645, usercpu_time_millis_testing: 2.801, usercpu_time_millis_training: 123.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8675, kappa: 0.6785, kb_relative_information_score: 2761.3122, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.867, predictive_accuracy: 0.8684, prior_entropy: 0.8733, recall: 0.8684, relative_absolute_error: 0.4987, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.307, root_relative_squared_error: 0.6741, scimark_benchmark: 1720.4488, usercpu_time_millis: 84.578, usercpu_time_millis_testing: 2.519, usercpu_time_millis_training: 82.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.9067, kappa: 0.7743, kb_relative_information_score: 3593.9291, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9064, predictive_accuracy: 0.9069, prior_entropy: 0.8733, recall: 0.9069, relative_absolute_error: 0.3394, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2669, root_relative_squared_error: 0.586, scimark_benchmark: 1732.3816, usercpu_time_millis: 89.008, usercpu_time_millis_testing: 1.869, usercpu_time_millis_training: 87.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.8524, kappa: 0.64, kb_relative_information_score: 2457.7075, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8516, predictive_accuracy: 0.8542, prior_entropy: 0.8733, recall: 0.8542, relative_absolute_error: 0.551, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.324, root_relative_squared_error: 0.7115, scimark_benchmark: 1833.8023, usercpu_time_millis: 44.249, usercpu_time_millis_testing: 1.23, usercpu_time_millis_training: 43.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.868, kappa: 0.6797, kb_relative_information_score: 2750.7218, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8674, predictive_accuracy: 0.8688, prior_entropy: 0.8733, recall: 0.8688, relative_absolute_error: 0.5003, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.6762, scimark_benchmark: 1728.4686, usercpu_time_millis: 29.867, usercpu_time_millis_testing: 0.701, usercpu_time_millis_training: 29.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.91, kappa: 0.7825, kb_relative_information_score: 3436.3473, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9099, predictive_accuracy: 0.9103, prior_entropy: 0.8733, recall: 0.9103, relative_absolute_error: 0.3796, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.5789, scimark_benchmark: 1733.299, usercpu_time_millis: 54.145, usercpu_time_millis_testing: 1.716, usercpu_time_millis_training: 52.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.895, kappa: 0.7458, kb_relative_information_score: 3132.9537, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8947, predictive_accuracy: 0.8954, prior_entropy: 0.8733, recall: 0.8954, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.618, scimark_benchmark: 2139.9354, usercpu_time_millis: 60.049, usercpu_time_millis_testing: 1.636, usercpu_time_millis_training: 58.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.8654, kappa: 0.6724, kb_relative_information_score: 2496.663, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8648, predictive_accuracy: 0.8668, prior_entropy: 0.8733, recall: 0.8668, relative_absolute_error: 0.548, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.6975, scimark_benchmark: 1727.103, usercpu_time_millis: 50.246, usercpu_time_millis_testing: 2.88, usercpu_time_millis_training: 47.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.871, kappa: 0.6864, kb_relative_information_score: 2590.1464, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8704, predictive_accuracy: 0.8721, prior_entropy: 0.8733, recall: 0.8721, relative_absolute_error: 0.5324, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.312, root_relative_squared_error: 0.6852, scimark_benchmark: 1732.9618, usercpu_time_millis: 20.846, usercpu_time_millis_testing: 1.118, usercpu_time_millis_training: 19.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.8717, kappa: 0.6883, kb_relative_information_score: 2717.1623, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8711, predictive_accuracy: 0.8727, prior_entropy: 0.8733, recall: 0.8727, relative_absolute_error: 0.5102, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.6734, scimark_benchmark: 1734.2259, usercpu_time_millis: 18.559, usercpu_time_millis_testing: 1.044, usercpu_time_millis_training: 17.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.9102, kappa: 0.7829, kb_relative_information_score: 3453.7967, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.91, predictive_accuracy: 0.9104, prior_entropy: 0.8733, recall: 0.9104, relative_absolute_error: 0.3779, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.5733, scimark_benchmark: 1731.0767, usercpu_time_millis: 21.181, usercpu_time_millis_testing: 0.647, usercpu_time_millis_training: 20.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.8079, kappa: 0.5313, kb_relative_information_score: 1780.4035, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8065, predictive_accuracy: 0.8105, prior_entropy: 0.8733, recall: 0.8105, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7838, scimark_benchmark: 739.1999, usercpu_time_millis: 33.095, usercpu_time_millis_testing: 2.133, usercpu_time_millis_training: 30.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8605, kappa: 0.6604, kb_relative_information_score: 2397.8851, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8598, predictive_accuracy: 0.862, prior_entropy: 0.8733, recall: 0.862, relative_absolute_error: 0.5647, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.709, scimark_benchmark: 1836.1522, usercpu_time_millis: 16.415, usercpu_time_millis_testing: 0.911, usercpu_time_millis_training: 15.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.7847, kappa: 0.4732, kb_relative_information_score: 1462.8517, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7827, predictive_accuracy: 0.7883, prior_entropy: 0.8733, recall: 0.7883, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.375, root_relative_squared_error: 0.8235, scimark_benchmark: 1724.168, usercpu_time_millis: 7.437, usercpu_time_millis_testing: 0.513, usercpu_time_millis_training: 6.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.585, kb_relative_information_score: -0.1571, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1723.0479, usercpu_time_millis: 4.964, usercpu_time_millis_testing: 0.889, usercpu_time_millis_training: 4.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8354, kappa: 0.5972, kb_relative_information_score: 2215.7888, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8345, predictive_accuracy: 0.8383, prior_entropy: 0.8733, recall: 0.8383, relative_absolute_error: 0.5861, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.7442, scimark_benchmark: 1730.1287, usercpu_time_millis: 2.868, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 2.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.8583, kappa: 0.6553, kb_relative_information_score: 2331.7251, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8576, predictive_accuracy: 0.8597, prior_entropy: 0.8733, recall: 0.8597, relative_absolute_error: 0.5751, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.7169, scimark_benchmark: 1732.0396, usercpu_time_millis: 20.219, usercpu_time_millis_testing: 0.949, usercpu_time_millis_training: 19.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.585, kb_relative_information_score: 0.2448, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1733.7613, usercpu_time_millis: 6.492, usercpu_time_millis_testing: 0.985, usercpu_time_millis_training: 5.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9041, kappa: 0.7682, kb_relative_information_score: 3315.6663, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9039, predictive_accuracy: 0.9043, prior_entropy: 0.8733, recall: 0.9043, relative_absolute_error: 0.4032, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.5919, scimark_benchmark: 1820.1777, usercpu_time_millis: 81.65, usercpu_time_millis_testing: 3.096, usercpu_time_millis_training: 78.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.8866, kappa: 0.7257, kb_relative_information_score: 3121.6196, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8863, predictive_accuracy: 0.8869, prior_entropy: 0.8733, recall: 0.8869, relative_absolute_error: 0.4327, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.6275, scimark_benchmark: 1846.8309, usercpu_time_millis: 81.152, usercpu_time_millis_testing: 1.922, usercpu_time_millis_training: 79.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.901, kappa: 0.7605, kb_relative_information_score: 3302.0348, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9008, predictive_accuracy: 0.9014, prior_entropy: 0.8733, recall: 0.9014, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.596, scimark_benchmark: 1855.0232, usercpu_time_millis: 61.88, usercpu_time_millis_testing: 2.104, usercpu_time_millis_training: 59.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.9113, kappa: 0.7854, kb_relative_information_score: 3456.9298, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9111, predictive_accuracy: 0.9115, prior_entropy: 0.8733, recall: 0.9115, relative_absolute_error: 0.3776, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.569, scimark_benchmark: 1847.7335, usercpu_time_millis: 36.826, usercpu_time_millis_testing: 1.481, usercpu_time_millis_training: 35.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8493, kappa: 0.6326, kb_relative_information_score: 2454.7143, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8485, predictive_accuracy: 0.8512, prior_entropy: 0.8733, recall: 0.8512, relative_absolute_error: 0.5489, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.7162, scimark_benchmark: 1857.1082, usercpu_time_millis: 37.846, usercpu_time_millis_testing: 0.762, usercpu_time_millis_training: 37.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.8822, kappa: 0.7144, kb_relative_information_score: 2871.6222, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8818, predictive_accuracy: 0.8829, prior_entropy: 0.8733, recall: 0.8829, relative_absolute_error: 0.4837, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.6508, scimark_benchmark: 1852.0126, usercpu_time_millis: 31.378, usercpu_time_millis_testing: 1.939, usercpu_time_millis_training: 29.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, f_measure: 0.7737, kappa: 0.44, kb_relative_information_score: 1246.2606, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7723, predictive_accuracy: 0.7818, prior_entropy: 0.8733, recall: 0.7818, relative_absolute_error: 0.7736, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.384, root_relative_squared_error: 0.8434, scimark_benchmark: 1836.6789, usercpu_time_millis: 8.997, usercpu_time_millis_testing: 0.896, usercpu_time_millis_training: 8.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.585, kb_relative_information_score: -2.5379, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1846.3099, usercpu_time_millis: 2.73, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 2.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.585, kb_relative_information_score: -1.9196, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1855.0232, usercpu_time_millis: 3.855, usercpu_time_millis_testing: 0.649, usercpu_time_millis_training: 3.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.7801, kappa: 0.4682, kb_relative_information_score: 1367.0336, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7795, predictive_accuracy: 0.7807, prior_entropy: 0.8733, recall: 0.7807, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.8353, scimark_benchmark: 2139.7507, usercpu_time_millis: 0.335, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 0.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.585, kb_relative_information_score: 0.8061, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1849.9303, usercpu_time_millis: 2.395, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 2.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.8728, kappa: 0.6913, kb_relative_information_score: 2767.9382, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8723, predictive_accuracy: 0.8736, prior_entropy: 0.8733, recall: 0.8736, relative_absolute_error: 0.4995, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.6672, scimark_benchmark: 1843.7454, usercpu_time_millis: 70.469, usercpu_time_millis_testing: 2.461, usercpu_time_millis_training: 68.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9047, kappa: 0.7695, kb_relative_information_score: 3402.1335, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9045, predictive_accuracy: 0.9051, prior_entropy: 0.8733, recall: 0.9051, relative_absolute_error: 0.3843, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2672, root_relative_squared_error: 0.5869, scimark_benchmark: 1847.3406, usercpu_time_millis: 36.745, usercpu_time_millis_testing: 1.017, usercpu_time_millis_training: 35.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.7939, kappa: 0.4983, kb_relative_information_score: 1721.4857, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7924, predictive_accuracy: 0.7961, prior_entropy: 0.8733, recall: 0.7961, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.7986, scimark_benchmark: 1842.1882, usercpu_time_millis: 35.512, usercpu_time_millis_testing: 1.897, usercpu_time_millis_training: 33.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.585, kb_relative_information_score: -1.604, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1836.6789, usercpu_time_millis: 0.578, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 0.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.8879, kappa: 0.7282, kb_relative_information_score: 2816.4898, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8875, predictive_accuracy: 0.8886, prior_entropy: 0.8733, recall: 0.8886, relative_absolute_error: 0.4966, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.648, scimark_benchmark: 1735.4023, usercpu_time_millis: 48.653, usercpu_time_millis_testing: 3.289, usercpu_time_millis_training: 45.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7009, kappa: 0.2492, kb_relative_information_score: 874.3741, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7656, predictive_accuracy: 0.7548, prior_entropy: 0.8733, recall: 0.7548, relative_absolute_error: 0.848, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8814, scimark_benchmark: 1837.7321, usercpu_time_millis: 9.967, usercpu_time_millis_testing: 1.312, usercpu_time_millis_training: 8.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.8427, kappa: 0.6155, kb_relative_information_score: 2182.2232, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.842, predictive_accuracy: 0.8453, prior_entropy: 0.8733, recall: 0.8453, relative_absolute_error: 0.5953, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.7429, scimark_benchmark: 1732.1439, usercpu_time_millis: 31.43, usercpu_time_millis_testing: 0.945, usercpu_time_millis_training: 30.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.8836, kappa: 0.7177, kb_relative_information_score: 2856.1196, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8832, predictive_accuracy: 0.8843, prior_entropy: 0.8733, recall: 0.8843, relative_absolute_error: 0.4868, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.6493, scimark_benchmark: 1832.6275, usercpu_time_millis: 42.892, usercpu_time_millis_testing: 3.243, usercpu_time_millis_training: 39.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.8882, kappa: 0.7291, kb_relative_information_score: 2989.5737, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8878, predictive_accuracy: 0.8888, prior_entropy: 0.8733, recall: 0.8888, relative_absolute_error: 0.4615, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.6376, scimark_benchmark: 1731.9625, usercpu_time_millis: 13.071, usercpu_time_millis_testing: 0.59, usercpu_time_millis_training: 12.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.8832, kappa: 0.717, kb_relative_information_score: 2851.0865, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8828, predictive_accuracy: 0.8838, prior_entropy: 0.8733, recall: 0.8838, relative_absolute_error: 0.4863, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.6516, scimark_benchmark: 1829.3205, usercpu_time_millis: 15.144, usercpu_time_millis_testing: 0.775, usercpu_time_millis_training: 14.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.585, kb_relative_information_score: -0.724, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1736.0014, usercpu_time_millis: 0.457, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 0.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.8112, kappa: 0.5374, kb_relative_information_score: 1927.9933, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8098, predictive_accuracy: 0.8148, prior_entropy: 0.8733, recall: 0.8148, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.7758, scimark_benchmark: 1832.1589, usercpu_time_millis: 11.725, usercpu_time_millis_testing: 0.348, usercpu_time_millis_training: 11.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.585, kb_relative_information_score: -2.3799, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1839.6597, usercpu_time_millis: 3.051, usercpu_time_millis_testing: 0.605, usercpu_time_millis_training: 2.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9084, kappa: 0.7781, kb_relative_information_score: 3330.5146, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9081, predictive_accuracy: 0.9088, prior_entropy: 0.8733, recall: 0.9088, relative_absolute_error: 0.4034, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.264, root_relative_squared_error: 0.5799, scimark_benchmark: 1736.1663, usercpu_time_millis: 44.287, usercpu_time_millis_testing: 2.734, usercpu_time_millis_training: 41.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.901, kappa: 0.7608, kb_relative_information_score: 3644.253, mean_absolute_error: 0.1342, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9008, predictive_accuracy: 0.9012, prior_entropy: 0.8733, recall: 0.9012, relative_absolute_error: 0.3235, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.5969, scimark_benchmark: 1798.5961, usercpu_time_millis: 45.076, usercpu_time_millis_testing: 0.884, usercpu_time_millis_training: 44.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8112, kappa: 0.5386, kb_relative_information_score: 1854.3323, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8098, predictive_accuracy: 0.8142, prior_entropy: 0.8733, recall: 0.8142, relative_absolute_error: 0.6535, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.7777, scimark_benchmark: 1832.1735, usercpu_time_millis: 23.039, usercpu_time_millis_testing: 1.262, usercpu_time_millis_training: 21.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.585, kb_relative_information_score: 0.2685, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1832.6275, usercpu_time_millis: 4.34, usercpu_time_millis_testing: 0.893, usercpu_time_millis_training: 3.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.851, kappa: 0.6369, kb_relative_information_score: 2334.5034, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8502, predictive_accuracy: 0.8527, prior_entropy: 0.8733, recall: 0.8527, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.7227, scimark_benchmark: 1676.8163, usercpu_time_millis: 91.673, usercpu_time_millis_testing: 8.214, usercpu_time_millis_training: 83.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.7846, kappa: 0.4719, kb_relative_information_score: 1341.8365, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7826, predictive_accuracy: 0.7889, prior_entropy: 0.8733, recall: 0.7889, relative_absolute_error: 0.753, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.8353, scimark_benchmark: 1744.7842, usercpu_time_millis: 13.048, usercpu_time_millis_testing: 1.259, usercpu_time_millis_training: 11.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.8231, kappa: 0.5672, kb_relative_information_score: 1953.8807, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8219, predictive_accuracy: 0.8261, prior_entropy: 0.8733, recall: 0.8261, relative_absolute_error: 0.6322, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7696, scimark_benchmark: 1742.1519, usercpu_time_millis: 8.704, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 8.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.585, kb_relative_information_score: 0.482, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1753.7182, usercpu_time_millis: 2.271, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 2.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.8672, kappa: 0.678, kb_relative_information_score: 2807.375, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8667, predictive_accuracy: 0.8681, prior_entropy: 0.8733, recall: 0.8681, relative_absolute_error: 0.4884, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3055, root_relative_squared_error: 0.6709, scimark_benchmark: 1815.8175, usercpu_time_millis: 40.355, usercpu_time_millis_testing: 0.865, usercpu_time_millis_training: 39.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.897, kappa: 0.7507, kb_relative_information_score: 3192.1434, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8967, predictive_accuracy: 0.8973, prior_entropy: 0.8733, recall: 0.8973, relative_absolute_error: 0.4249, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.6094, scimark_benchmark: 1809.9498, usercpu_time_millis: 24.288, usercpu_time_millis_testing: 0.718, usercpu_time_millis_training: 23.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.9007, kappa: 0.7593, kb_relative_information_score: 3130.1306, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9004, predictive_accuracy: 0.9012, prior_entropy: 0.8733, recall: 0.9012, relative_absolute_error: 0.4412, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.6059, scimark_benchmark: 1804.5502, usercpu_time_millis: 22.746, usercpu_time_millis_testing: 1.321, usercpu_time_millis_training: 21.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.7838, kappa: 0.4793, kb_relative_information_score: 1589.4585, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7841, predictive_accuracy: 0.7835, prior_entropy: 0.8733, recall: 0.7835, relative_absolute_error: 0.6955, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.8201, scimark_benchmark: 1703.1802, usercpu_time_millis: 22.826, usercpu_time_millis_testing: 1.03, usercpu_time_millis_training: 21.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.8838, kappa: 0.7183, kb_relative_information_score: 2905.2639, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8834, predictive_accuracy: 0.8845, prior_entropy: 0.8733, recall: 0.8845, relative_absolute_error: 0.4757, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.6463, scimark_benchmark: 1818.8577, usercpu_time_millis: 13.01, usercpu_time_millis_testing: 0.565, usercpu_time_millis_training: 12.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.7777, kappa: 0.4694, kb_relative_information_score: 1519.9137, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7803, predictive_accuracy: 0.7757, prior_entropy: 0.8733, recall: 0.7757, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.8291, scimark_benchmark: 1807.6003, usercpu_time_millis: 9.535, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 9.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.8593, kappa: 0.6572, kb_relative_information_score: 2367.8828, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8586, predictive_accuracy: 0.8608, prior_entropy: 0.8733, recall: 0.8608, relative_absolute_error: 0.5695, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.7128, scimark_benchmark: 1735.0861, usercpu_time_millis: 7.185, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 6.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.8838, kappa: 0.7184, kb_relative_information_score: 2928.5185, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8834, predictive_accuracy: 0.8843, prior_entropy: 0.8733, recall: 0.8843, relative_absolute_error: 0.4726, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.644, scimark_benchmark: 1801.5303, usercpu_time_millis: 64.217, usercpu_time_millis_testing: 3.511, usercpu_time_millis_training: 60.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.836, kappa: 0.5979, kb_relative_information_score: 2080.4429, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8353, predictive_accuracy: 0.8392, prior_entropy: 0.8733, recall: 0.8392, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.7464, scimark_benchmark: 1776.226, usercpu_time_millis: 30.405, usercpu_time_millis_testing: 2.333, usercpu_time_millis_training: 28.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.8377, kappa: 0.6023, kb_relative_information_score: 2085.5556, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.837, predictive_accuracy: 0.8409, prior_entropy: 0.8733, recall: 0.8409, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.746, scimark_benchmark: 2133.3026, usercpu_time_millis: 26.306, usercpu_time_millis_testing: 1.574, usercpu_time_millis_training: 24.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.8945, kappa: 0.7448, kb_relative_information_score: 3147.0918, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8942, predictive_accuracy: 0.8949, prior_entropy: 0.8733, recall: 0.8949, relative_absolute_error: 0.4326, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2811, root_relative_squared_error: 0.6172, scimark_benchmark: 1763.6601, usercpu_time_millis: 16.367, usercpu_time_millis_testing: 0.548, usercpu_time_millis_training: 15.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9119, kappa: 0.787, kb_relative_information_score: 3503.912, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9117, predictive_accuracy: 0.9121, prior_entropy: 0.8733, recall: 0.9121, relative_absolute_error: 0.3669, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.5663, scimark_benchmark: 1757.9022, usercpu_time_millis: 13.697, usercpu_time_millis_testing: 0.59, usercpu_time_millis_training: 13.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.8215, kappa: 0.5616, kb_relative_information_score: 1986.5597, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8207, predictive_accuracy: 0.8257, prior_entropy: 0.8733, recall: 0.8257, relative_absolute_error: 0.6304, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.7624, scimark_benchmark: 1774.0877, usercpu_time_millis: 6.427, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 6.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.9068, kappa: 0.7743, kb_relative_information_score: 3421.2016, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9065, predictive_accuracy: 0.9071, prior_entropy: 0.8733, recall: 0.9071, relative_absolute_error: 0.3815, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2654, root_relative_squared_error: 0.5829, scimark_benchmark: 1829.7167, usercpu_time_millis: 145.947, usercpu_time_millis_testing: 3.218, usercpu_time_millis_training: 142.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8581, kappa: 0.6552, kb_relative_information_score: 2641.1802, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8574, predictive_accuracy: 0.8594, prior_entropy: 0.8733, recall: 0.8594, relative_absolute_error: 0.5175, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6934, scimark_benchmark: 1771.1382, usercpu_time_millis: 93.131, usercpu_time_millis_testing: 2.129, usercpu_time_millis_training: 91.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8787, kappa: 0.7058, kb_relative_information_score: 2816.171, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8782, predictive_accuracy: 0.8793, prior_entropy: 0.8733, recall: 0.8793, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.6609, scimark_benchmark: 1820.4415, usercpu_time_millis: 49.503, usercpu_time_millis_testing: 2.481, usercpu_time_millis_training: 47.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.833, kappa: 0.5906, kb_relative_information_score: 2065.362, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8323, predictive_accuracy: 0.8364, prior_entropy: 0.8733, recall: 0.8364, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.7494, scimark_benchmark: 1783.5691, usercpu_time_millis: 38.804, usercpu_time_millis_testing: 1.818, usercpu_time_millis_training: 36.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8708, kappa: 0.6855, kb_relative_information_score: 2507.8553, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8702, predictive_accuracy: 0.8721, prior_entropy: 0.8733, recall: 0.8721, relative_absolute_error: 0.55, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.689, scimark_benchmark: 1827.8935, usercpu_time_millis: 45.311, usercpu_time_millis_testing: 2.311, usercpu_time_millis_training: 43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.7756, kappa: 0.459, kb_relative_information_score: 1400.4105, mean_absolute_error: 0.3037, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7757, predictive_accuracy: 0.7755, prior_entropy: 0.8733, recall: 0.7755, relative_absolute_error: 0.7324, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.8361, scimark_benchmark: 1819.9493, usercpu_time_millis: 19.21, usercpu_time_millis_testing: 1.526, usercpu_time_millis_training: 17.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8576, f_measure: 0.7843, kappa: 0.4778, kb_relative_information_score: 1486.2206, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7835, predictive_accuracy: 0.7852, prior_entropy: 0.8733, recall: 0.7852, relative_absolute_error: 0.7169, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.8269, scimark_benchmark: 1821.3183, usercpu_time_millis: 15.018, usercpu_time_millis_testing: 1.095, usercpu_time_millis_training: 13.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.585, kb_relative_information_score: 0.2017, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1830.2223, usercpu_time_millis: 5.489, usercpu_time_millis_testing: 0.807, usercpu_time_millis_training: 4.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8765, kappa: 0.6998, kb_relative_information_score: 2641.6917, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.876, predictive_accuracy: 0.8775, prior_entropy: 0.8733, recall: 0.8775, relative_absolute_error: 0.5262, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.6724, scimark_benchmark: 1987.1624, usercpu_time_millis: 3.57, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 3.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.856, kappa: 0.6512, kb_relative_information_score: 2718.3822, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8555, predictive_accuracy: 0.8568, prior_entropy: 0.8733, recall: 0.8568, relative_absolute_error: 0.4981, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.6964, scimark_benchmark: 1716.8263, usercpu_time_millis: 114.658, usercpu_time_millis_testing: 2.321, usercpu_time_millis_training: 112.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.8402, kappa: 0.6126, kb_relative_information_score: 2605.6674, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8395, predictive_accuracy: 0.841, prior_entropy: 0.8733, recall: 0.841, relative_absolute_error: 0.5114, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.7254, scimark_benchmark: 1715.1737, usercpu_time_millis: 115.435, usercpu_time_millis_testing: 2.064, usercpu_time_millis_training: 113.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.8992, kappa: 0.7561, kb_relative_information_score: 3275.9027, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8989, predictive_accuracy: 0.8995, prior_entropy: 0.8733, recall: 0.8995, relative_absolute_error: 0.4092, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.5997, scimark_benchmark: 1719.5014, usercpu_time_millis: 95.6, usercpu_time_millis_testing: 3.512, usercpu_time_millis_training: 92.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.904, kappa: 0.7675, kb_relative_information_score: 3261.1853, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9037, predictive_accuracy: 0.9043, prior_entropy: 0.8733, recall: 0.9043, relative_absolute_error: 0.415, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2704, root_relative_squared_error: 0.5939, scimark_benchmark: 1721.8642, usercpu_time_millis: 62.448, usercpu_time_millis_testing: 3.393, usercpu_time_millis_training: 59.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8592, kappa: 0.657, kb_relative_information_score: 2532.5541, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8585, predictive_accuracy: 0.8608, prior_entropy: 0.8733, recall: 0.8608, relative_absolute_error: 0.5392, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.7012, scimark_benchmark: 1718.6432, usercpu_time_millis: 63.523, usercpu_time_millis_testing: 2.067, usercpu_time_millis_training: 61.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.8961, kappa: 0.7482, kb_relative_information_score: 3076.5949, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8957, predictive_accuracy: 0.8966, prior_entropy: 0.8733, recall: 0.8966, relative_absolute_error: 0.4466, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.283, root_relative_squared_error: 0.6215, scimark_benchmark: 1711.4796, usercpu_time_millis: 31.247, usercpu_time_millis_testing: 1.53, usercpu_time_millis_training: 29.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8381, kappa: 0.6028, kb_relative_information_score: 2091.3951, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8376, predictive_accuracy: 0.8416, prior_entropy: 0.8733, recall: 0.8416, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.7403, scimark_benchmark: 1720.3806, usercpu_time_millis: 26.297, usercpu_time_millis_testing: 1.824, usercpu_time_millis_training: 24.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.8708, kappa: 0.6857, kb_relative_information_score: 2546.1433, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8703, predictive_accuracy: 0.8721, prior_entropy: 0.8733, recall: 0.8721, relative_absolute_error: 0.5436, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.6842, scimark_benchmark: 1716.0249, usercpu_time_millis: 22.65, usercpu_time_millis_testing: 1.784, usercpu_time_millis_training: 20.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.7809, kappa: 0.4679, kb_relative_information_score: 1630.7615, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7796, predictive_accuracy: 0.7826, prior_entropy: 0.8733, recall: 0.7826, relative_absolute_error: 0.6862, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.8163, scimark_benchmark: 1723.8599, usercpu_time_millis: 33.762, usercpu_time_millis_testing: 1.197, usercpu_time_millis_training: 32.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8935, kappa: 0.7422, kb_relative_information_score: 3028.9633, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8932, predictive_accuracy: 0.894, prior_entropy: 0.8733, recall: 0.894, relative_absolute_error: 0.4553, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.6277, scimark_benchmark: 1716.8263, usercpu_time_millis: 13.995, usercpu_time_millis_testing: 0.558, usercpu_time_millis_training: 13.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.8357, kappa: 0.5992, kb_relative_information_score: 2094.1327, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8347, predictive_accuracy: 0.8379, prior_entropy: 0.8733, recall: 0.8379, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.7541, scimark_benchmark: 1731.5003, usercpu_time_millis: 14.64, usercpu_time_millis_testing: 0.511, usercpu_time_millis_training: 14.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.765, kappa: 0.4523, kb_relative_information_score: 1307.0014, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7766, predictive_accuracy: 0.7591, prior_entropy: 0.8733, recall: 0.7591, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.8557, scimark_benchmark: 1717.2815, usercpu_time_millis: 7.558, usercpu_time_millis_testing: 0.49, usercpu_time_millis_training: 7.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.8301, kappa: 0.5825, kb_relative_information_score: 1995.0883, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8297, predictive_accuracy: 0.8342, prior_entropy: 0.8733, recall: 0.8342, relative_absolute_error: 0.6384, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.7522, scimark_benchmark: 1721.2871, usercpu_time_millis: 9.218, usercpu_time_millis_testing: 0.573, usercpu_time_millis_training: 8.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.585, kb_relative_information_score: -5.3959, mean_absolute_error: 0.4149, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1725.723, usercpu_time_millis: 1.04, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 0.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8453, kappa: 0.6221, kb_relative_information_score: 2153.3036, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8446, predictive_accuracy: 0.8477, prior_entropy: 0.8733, recall: 0.8477, relative_absolute_error: 0.6049, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.7383, scimark_benchmark: 1837.0823, usercpu_time_millis: 5.369, usercpu_time_millis_testing: 0.225, usercpu_time_millis_training: 5.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.888, kappa: 0.7283, kb_relative_information_score: 2796.7984, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8876, predictive_accuracy: 0.8888, prior_entropy: 0.8733, recall: 0.8888, relative_absolute_error: 0.4997, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.6513, scimark_benchmark: 1718.6781, usercpu_time_millis: 57.746, usercpu_time_millis_testing: 3.259, usercpu_time_millis_training: 54.487,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs