Task
Supervised Classification on autos

Supervised Classification on autos

Task 9 Supervised Classification autos 1382 runs submitted
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  • basic study_1 study_107 study_41 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5145, f_measure: 0.1997, kappa: 0.0308, kb_relative_information_score: 33.9415, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.3724, predictive_accuracy: 0.3463, prior_entropy: 2.3268, recall: 0.3463, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4322, root_relative_squared_error: 1.3026, scimark_benchmark: 932.438, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.6003, kappa: 0.488, kb_relative_information_score: 101.5882, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5937, predictive_accuracy: 0.6098, prior_entropy: 2.3268, recall: 0.6098, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.8173, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.7028, kappa: 0.6132, kb_relative_information_score: 129.8947, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7045, predictive_accuracy: 0.7024, prior_entropy: 2.3268, recall: 0.7024, relative_absolute_error: 0.3888, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.8687, scimark_benchmark: 1254.1389, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.7991, kappa: 0.7385, kb_relative_information_score: 148.6216, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.803, predictive_accuracy: 0.8, prior_entropy: 2.3268, recall: 0.8, relative_absolute_error: 0.3064, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.6965, scimark_benchmark: 473.1656, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.7844, kappa: 0.7199, kb_relative_information_score: 147.3479, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7912, predictive_accuracy: 0.7854, prior_entropy: 2.3268, recall: 0.7854, relative_absolute_error: 0.3128, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.7107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.7168, kappa: 0.6362, kb_relative_information_score: 132.5749, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7241, predictive_accuracy: 0.7171, prior_entropy: 2.3268, recall: 0.7171, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.7912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.6277, kappa: 0.5318, kb_relative_information_score: 115.624, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6288, predictive_accuracy: 0.6439, prior_entropy: 2.3268, recall: 0.6439, relative_absolute_error: 0.5181, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.8248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.4242, kappa: 0.3253, kb_relative_information_score: 26.6739, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.3698, predictive_accuracy: 0.5122, prior_entropy: 2.3268, recall: 0.5122, relative_absolute_error: 0.9746, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.9623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.684, kappa: 0.6011, kb_relative_information_score: 35.7603, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6875, predictive_accuracy: 0.6927, prior_entropy: 2.3268, recall: 0.6927, relative_absolute_error: 0.955, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.9414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.7316, kappa: 0.6517, kb_relative_information_score: 137.1465, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7383, predictive_accuracy: 0.7317, prior_entropy: 2.3268, recall: 0.7317, relative_absolute_error: 0.3576, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8435, kappa: 0.7966, kb_relative_information_score: 138.8579, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8446, predictive_accuracy: 0.8439, prior_entropy: 2.3268, recall: 0.8439, relative_absolute_error: 0.4325, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.5874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.5485, kappa: 0.4369, kb_relative_information_score: 100.6231, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5601, predictive_accuracy: 0.561, prior_entropy: 2.3268, recall: 0.561, relative_absolute_error: 0.6032, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.3359, kappa: 0.2203, kb_relative_information_score: 49.5079, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.2667, predictive_accuracy: 0.4537, prior_entropy: 2.3268, recall: 0.4537, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.9392, scimark_benchmark: 479.2609, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.6583, kappa: 0.56, kb_relative_information_score: 109.8178, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6568, predictive_accuracy: 0.6634, prior_entropy: 2.3268, recall: 0.6634, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.7855, scimark_benchmark: 851.2074, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5145, f_measure: 0.1997, kappa: 0.0308, kb_relative_information_score: 33.9415, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.3724, predictive_accuracy: 0.3463, prior_entropy: 2.3268, recall: 0.3463, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4322, root_relative_squared_error: 1.3026, scimark_benchmark: 941.6675, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.5493, kappa: 0.4332, kb_relative_information_score: 101.7194, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5665, predictive_accuracy: 0.5561, prior_entropy: 2.3268, recall: 0.5561, relative_absolute_error: 0.57, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.9588, scimark_benchmark: 473.1656, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.5482, kappa: 0.4235, kb_relative_information_score: 39.6733, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5683, predictive_accuracy: 0.5463, prior_entropy: 2.3268, recall: 0.5463, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.9319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.878, kappa: 0.8417, kb_relative_information_score: 171.2936, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.878, predictive_accuracy: 0.878, prior_entropy: 2.3268, recall: 0.878, relative_absolute_error: 0.1736, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.5439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.5745, kappa: 0.4622, kb_relative_information_score: 102.813, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6047, predictive_accuracy: 0.5756, prior_entropy: 2.3268, recall: 0.5756, relative_absolute_error: 0.5703, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3097, root_relative_squared_error: 0.9334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, f_measure: 0.5569, kappa: 0.4518, kb_relative_information_score: 93.3219, mean_absolute_error: 0.1473, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5834, predictive_accuracy: 0.5854, prior_entropy: 2.3268, recall: 0.5854, relative_absolute_error: 0.6667, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.8535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.6104, kappa: 0.4938, kb_relative_information_score: 107.2962, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6169, predictive_accuracy: 0.6098, prior_entropy: 2.3268, recall: 0.6098, relative_absolute_error: 0.604, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.7971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.8732, kappa: 0.8361, kb_relative_information_score: 168.2093, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8744, predictive_accuracy: 0.8732, prior_entropy: 2.3268, recall: 0.8732, relative_absolute_error: 0.2035, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.5199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.5432, kappa: 0.4273, kb_relative_information_score: 101.7446, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5612, predictive_accuracy: 0.5512, prior_entropy: 2.3268, recall: 0.5512, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.9574, scimark_benchmark: 1248.2165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.6528, kappa: 0.56, kb_relative_information_score: 125.6207, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6557, predictive_accuracy: 0.6585, prior_entropy: 2.3268, recall: 0.6585, relative_absolute_error: 0.4312, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.282, root_relative_squared_error: 0.8499, scimark_benchmark: 1241.5236, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8435, kappa: 0.7966, kb_relative_information_score: 138.8579, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8446, predictive_accuracy: 0.8439, prior_entropy: 2.3268, recall: 0.8439, relative_absolute_error: 0.4325, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.5874, scimark_benchmark: 931.771, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.8483, kappa: 0.8028, kb_relative_information_score: 167.5286, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8513, predictive_accuracy: 0.8488, prior_entropy: 2.3268, recall: 0.8488, relative_absolute_error: 0.1864, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.6788, kappa: 0.5855, kb_relative_information_score: 97.5142, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6859, predictive_accuracy: 0.678, prior_entropy: 2.3268, recall: 0.678, relative_absolute_error: 0.6385, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.8218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8435, kappa: 0.7966, kb_relative_information_score: 138.8579, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8446, predictive_accuracy: 0.8439, prior_entropy: 2.3268, recall: 0.8439, relative_absolute_error: 0.4325, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.5874, scimark_benchmark: 901.4991, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.7192, kappa: 0.6405, kb_relative_information_score: 134.2615, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7165, predictive_accuracy: 0.7268, prior_entropy: 2.3268, recall: 0.7268, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.7825, scimark_benchmark: 945.6228, usercpu_time_millis: 450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.161, kb_relative_information_score: 29.8503, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.1068, predictive_accuracy: 0.3268, prior_entropy: 2.3268, recall: 0.3268, relative_absolute_error: 0.8706, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4386, root_relative_squared_error: 1.3219, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.3359, kappa: 0.2203, kb_relative_information_score: 49.5079, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.2667, predictive_accuracy: 0.4537, prior_entropy: 2.3268, recall: 0.4537, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.9392, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.8431, kappa: 0.7962, kb_relative_information_score: 145.4377, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8467, predictive_accuracy: 0.8439, prior_entropy: 2.3268, recall: 0.8439, relative_absolute_error: 0.3798, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.5526, scimark_benchmark: 920.2531, usercpu_time_millis: 5380, usercpu_time_millis_testing: 1840, usercpu_time_millis_training: 3540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.3359, kappa: 0.2203, kb_relative_information_score: 49.5079, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.2667, predictive_accuracy: 0.4537, prior_entropy: 2.3268, recall: 0.4537, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.9392, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.8429, kappa: 0.7964, kb_relative_information_score: 145.6566, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8473, predictive_accuracy: 0.8439, prior_entropy: 2.3268, recall: 0.8439, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.5465, scimark_benchmark: 942.5233, usercpu_time_millis: 1280, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.8431, kappa: 0.796, kb_relative_information_score: 146.0285, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8487, predictive_accuracy: 0.8439, prior_entropy: 2.3268, recall: 0.8439, relative_absolute_error: 0.3725, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.55, scimark_benchmark: 943.6618, usercpu_time_millis: 2760, usercpu_time_millis_testing: 800, usercpu_time_millis_training: 1960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.8288, kappa: 0.7775, kb_relative_information_score: 145.2789, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8309, predictive_accuracy: 0.8293, prior_entropy: 2.3268, recall: 0.8293, relative_absolute_error: 0.3776, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.186, root_relative_squared_error: 0.5606, scimark_benchmark: 930.5033, usercpu_time_millis: 540, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.8237, kappa: 0.7717, kb_relative_information_score: 145.713, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8257, predictive_accuracy: 0.8244, prior_entropy: 2.3268, recall: 0.8244, relative_absolute_error: 0.3763, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.5771, scimark_benchmark: 894.7131, usercpu_time_millis: 310, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5145, f_measure: 0.1997, kappa: 0.0308, kb_relative_information_score: 33.9415, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.3724, predictive_accuracy: 0.3463, prior_entropy: 2.3268, recall: 0.3463, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4322, root_relative_squared_error: 1.3026, scimark_benchmark: 943.6618, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.6583, kappa: 0.56, kb_relative_information_score: 109.8178, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6568, predictive_accuracy: 0.6634, prior_entropy: 2.3268, recall: 0.6634, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.7855, scimark_benchmark: 936.2574, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.6003, kappa: 0.488, kb_relative_information_score: 101.5882, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5937, predictive_accuracy: 0.6098, prior_entropy: 2.3268, recall: 0.6098, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.8173, scimark_benchmark: 941.4991, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4638, f_measure: 0.161, kb_relative_information_score: 0.2693, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.1068, predictive_accuracy: 0.3268, prior_entropy: 2.3268, recall: 0.3268, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3319, root_relative_squared_error: 1.0004, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.3359, kappa: 0.2203, kb_relative_information_score: 49.5079, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.2667, predictive_accuracy: 0.4537, prior_entropy: 2.3268, recall: 0.4537, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.9392, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8068, f_measure: 0.5493, kappa: 0.4332, kb_relative_information_score: 85.7247, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5665, predictive_accuracy: 0.5561, prior_entropy: 2.3268, recall: 0.5561, relative_absolute_error: 0.6617, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.322, root_relative_squared_error: 0.9706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.7453, kappa: 0.6653, kb_relative_information_score: 132.7814, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7543, predictive_accuracy: 0.7463, prior_entropy: 2.3268, recall: 0.7463, relative_absolute_error: 0.4079, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.7575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.7701, kappa: 0.6983, kb_relative_information_score: 134.3105, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.778, predictive_accuracy: 0.7707, prior_entropy: 2.3268, recall: 0.7707, relative_absolute_error: 0.4349, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.6473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.5493, kappa: 0.4332, kb_relative_information_score: 101.7194, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5665, predictive_accuracy: 0.5561, prior_entropy: 2.3268, recall: 0.5561, relative_absolute_error: 0.57, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.9588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.5491, kappa: 0.4368, kb_relative_information_score: 99.9764, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5609, predictive_accuracy: 0.561, prior_entropy: 2.3268, recall: 0.561, relative_absolute_error: 0.6069, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3021, root_relative_squared_error: 0.9107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5145, f_measure: 0.1997, kappa: 0.0308, kb_relative_information_score: 33.9415, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.3724, predictive_accuracy: 0.3463, prior_entropy: 2.3268, recall: 0.3463, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4322, root_relative_squared_error: 1.3026, scimark_benchmark: 938.838, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5145, f_measure: 0.1997, kappa: 0.0308, kb_relative_information_score: 33.9415, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.3724, predictive_accuracy: 0.3463, prior_entropy: 2.3268, recall: 0.3463, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4322, root_relative_squared_error: 1.3026, scimark_benchmark: 928.8135, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.6583, kappa: 0.56, kb_relative_information_score: 109.8178, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6568, predictive_accuracy: 0.6634, prior_entropy: 2.3268, recall: 0.6634, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.7855, scimark_benchmark: 922.9595, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 922.5036, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.6003, kappa: 0.488, kb_relative_information_score: 101.5882, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5937, predictive_accuracy: 0.6098, prior_entropy: 2.3268, recall: 0.6098, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.8173, scimark_benchmark: 946.9304, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 942.3809, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 938.838, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 938.838, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.4038, kappa: 0.3036, kb_relative_information_score: 39.9203, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.4298, predictive_accuracy: 0.5122, prior_entropy: 2.3268, recall: 0.5122, relative_absolute_error: 0.892, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.9268, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.783, kappa: 0.7214, kb_relative_information_score: 143.6212, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.79, predictive_accuracy: 0.7854, prior_entropy: 2.3268, recall: 0.7854, relative_absolute_error: 0.3443, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.6946, scimark_benchmark: 899.1108, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.7916, kappa: 0.7373, kb_relative_information_score: 132.0931, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7998, predictive_accuracy: 0.8, prior_entropy: 2.3268, recall: 0.8, relative_absolute_error: 0.4645, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.628, scimark_benchmark: 926.5859, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.8296, kappa: 0.7777, kb_relative_information_score: 137.3457, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8312, predictive_accuracy: 0.8293, prior_entropy: 2.3268, recall: 0.8293, relative_absolute_error: 0.4203, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.5861, scimark_benchmark: 943.4741, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.7192, kappa: 0.6405, kb_relative_information_score: 134.2615, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7165, predictive_accuracy: 0.7268, prior_entropy: 2.3268, recall: 0.7268, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.7825, scimark_benchmark: 928.8135, usercpu_time_millis: 430, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 1332.1612, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.3359, kappa: 0.2203, kb_relative_information_score: 49.5079, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.2667, predictive_accuracy: 0.4537, prior_entropy: 2.3268, recall: 0.4537, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.9392, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.3359, kappa: 0.2203, kb_relative_information_score: 49.5079, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.2667, predictive_accuracy: 0.4537, prior_entropy: 2.3268, recall: 0.4537, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.9392, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8435, kappa: 0.7966, kb_relative_information_score: 138.8579, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8446, predictive_accuracy: 0.8439, prior_entropy: 2.3268, recall: 0.8439, relative_absolute_error: 0.4325, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.5874, scimark_benchmark: 1340.9446, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5145, f_measure: 0.1997, kappa: 0.0308, kb_relative_information_score: 33.9415, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.3724, predictive_accuracy: 0.3463, prior_entropy: 2.3268, recall: 0.3463, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4322, root_relative_squared_error: 1.3026, scimark_benchmark: 1331.2559, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8435, kappa: 0.7966, kb_relative_information_score: 138.8579, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8446, predictive_accuracy: 0.8439, prior_entropy: 2.3268, recall: 0.8439, relative_absolute_error: 0.4325, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.5874, scimark_benchmark: 1310.6554, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.7192, kappa: 0.6405, kb_relative_information_score: 134.2615, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7165, predictive_accuracy: 0.7268, prior_entropy: 2.3268, recall: 0.7268, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.7825, scimark_benchmark: 1340.9749, usercpu_time_millis: 500, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 1317.5348, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5145, f_measure: 0.1997, kappa: 0.0308, kb_relative_information_score: 33.9415, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.3724, predictive_accuracy: 0.3463, prior_entropy: 2.3268, recall: 0.3463, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4322, root_relative_squared_error: 1.3026, scimark_benchmark: 1320.8283, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 1322.369, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.8239, kappa: 0.7709, kb_relative_information_score: 161.0877, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8254, predictive_accuracy: 0.8244, prior_entropy: 2.3268, recall: 0.8244, relative_absolute_error: 0.2396, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.6032, scimark_benchmark: 1385.8862, usercpu_time_millis: 130, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 1343.7262, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.6583, kappa: 0.56, kb_relative_information_score: 109.8178, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6568, predictive_accuracy: 0.6634, prior_entropy: 2.3268, recall: 0.6634, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.7855, scimark_benchmark: 1344.0499, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.644, kappa: 0.5419, kb_relative_information_score: 103.3965, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6408, predictive_accuracy: 0.6488, prior_entropy: 2.3268, recall: 0.6488, relative_absolute_error: 0.6155, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.8024, scimark_benchmark: 1353.5464, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.783, kappa: 0.7214, kb_relative_information_score: 143.6212, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.79, predictive_accuracy: 0.7854, prior_entropy: 2.3268, recall: 0.7854, relative_absolute_error: 0.3443, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.6946, scimark_benchmark: 1352.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8435, kappa: 0.7966, kb_relative_information_score: 138.8579, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8446, predictive_accuracy: 0.8439, prior_entropy: 2.3268, recall: 0.8439, relative_absolute_error: 0.4325, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.5874, scimark_benchmark: 1340.5125, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.7192, kappa: 0.6405, kb_relative_information_score: 134.2615, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7165, predictive_accuracy: 0.7268, prior_entropy: 2.3268, recall: 0.7268, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.7825, scimark_benchmark: 1324.6608, usercpu_time_millis: 550, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.6003, kappa: 0.488, kb_relative_information_score: 101.5882, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5937, predictive_accuracy: 0.6098, prior_entropy: 2.3268, recall: 0.6098, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.8173, scimark_benchmark: 918.0213, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.6003, kappa: 0.488, kb_relative_information_score: 101.5882, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5937, predictive_accuracy: 0.6098, prior_entropy: 2.3268, recall: 0.6098, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.8173, scimark_benchmark: 1350.2591, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, build_cpu_time: 0.0063, build_memory: 70960188.6829, f_measure: 0.5032, kappa: 0.4131, kb_relative_information_score: 64.7506, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6824, predictive_accuracy: 0.5756, prior_entropy: 2.3268, recall: 0.5756, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.8743, scimark_benchmark: 915.2996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, build_cpu_time: 46.681, build_memory: 984125772.5659, f_measure: 0.7648, kappa: 0.6946, kb_relative_information_score: 134.127, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7663, predictive_accuracy: 0.7659, prior_entropy: 2.3268, recall: 0.7659, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.6624, scimark_benchmark: 946.2633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, build_cpu_time: 0.0032, build_memory: 1165866007.6098, f_measure: 0.495, kappa: 0.3939, kb_relative_information_score: 64.8964, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6667, predictive_accuracy: 0.561, prior_entropy: 2.3268, recall: 0.561, relative_absolute_error: 0.8271, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.8726, scimark_benchmark: 941.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, build_cpu_time: 22.7314, build_memory: 793217706.9659, f_measure: 0.7612, kappa: 0.6896, kb_relative_information_score: 133.9723, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7631, predictive_accuracy: 0.761, prior_entropy: 2.3268, recall: 0.761, relative_absolute_error: 0.4389, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.6637, scimark_benchmark: 824.2652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, build_cpu_time: 13.2576, build_memory: 367053897.4439, f_measure: 0.7843, kappa: 0.7194, kb_relative_information_score: 135.3082, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7871, predictive_accuracy: 0.7854, prior_entropy: 2.3268, recall: 0.7854, relative_absolute_error: 0.4317, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.6596, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.8287, kappa: 0.7778, kb_relative_information_score: 0.7328, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8302, predictive_accuracy: 0.8293, prior_entropy: 2.2802, recall: 0.8293, relative_absolute_error: 0.3696, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.5494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, build_cpu_time: 0.004, build_memory: 3469121833.6781, f_measure: 0.5088, kappa: 0.4319, kb_relative_information_score: 64.167, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6839, predictive_accuracy: 0.5854, prior_entropy: 2.3268, recall: 0.5854, relative_absolute_error: 0.8266, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.8747, scimark_benchmark: 944.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, build_cpu_time: 6.0448, build_memory: 1261544628.2146, f_measure: 0.5856, kappa: 0.4535, kb_relative_information_score: 97.9112, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6026, predictive_accuracy: 0.5902, prior_entropy: 2.3268, recall: 0.5902, relative_absolute_error: 0.611, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.279, root_relative_squared_error: 0.8408, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, build_cpu_time: 0.0095, build_memory: 703194627.8634, f_measure: 0.6373, kappa: 0.5325, kb_relative_information_score: 46.6489, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6487, predictive_accuracy: 0.6488, prior_entropy: 2.3268, recall: 0.6488, relative_absolute_error: 0.8543, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.31, root_relative_squared_error: 0.9343, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, build_cpu_time: 0.0928, build_memory: 1211635632.6634, f_measure: 0.8385, kappa: 0.7892, kb_relative_information_score: 139.3308, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8415, predictive_accuracy: 0.839, prior_entropy: 2.3268, recall: 0.839, relative_absolute_error: 0.4295, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.5868, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, build_cpu_time: 0.0585, build_memory: 1470563406.0098, f_measure: 0.8385, kappa: 0.7892, kb_relative_information_score: 139.3308, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8415, predictive_accuracy: 0.839, prior_entropy: 2.3268, recall: 0.839, relative_absolute_error: 0.4295, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.5868, scimark_benchmark: 943.8094,

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