OpenML
Supervised Classification on puma32H

Supervised Classification on puma32H

Task 3618 Supervised Classification puma32H 556 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8799, kappa: 0.7598, kb_relative_information_score: 4945.8088, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8804, predictive_accuracy: 0.8799, prior_entropy: 1, recall: 0.8799, relative_absolute_error: 0.44, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3154, root_relative_squared_error: 0.6308, scimark_benchmark: 937.6212, usercpu_time_millis: 5960, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.6561, kappa: 0.3123, kb_relative_information_score: 1040.6469, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6563, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9486, scimark_benchmark: 937.1527, usercpu_time_millis: 2820, usercpu_time_millis_testing: 2360, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6339, f_measure: 0.6308, kappa: 0.2681, kb_relative_information_score: 2205.4729, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6395, predictive_accuracy: 0.6346, prior_entropy: 1, recall: 0.6346, relative_absolute_error: 0.7308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6044, root_relative_squared_error: 1.2089, scimark_benchmark: 1314.7093, usercpu_time_millis: 1100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6654, f_measure: 0.6654, kappa: 0.3308, kb_relative_information_score: 2709.5173, mean_absolute_error: 0.3346, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6654, predictive_accuracy: 0.6654, prior_entropy: 1, recall: 0.6654, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5784, root_relative_squared_error: 1.1569, scimark_benchmark: 854.5188, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, f_measure: 0.3473, kappa: 0.0024, kb_relative_information_score: 81.286, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.5313, predictive_accuracy: 0.505, prior_entropy: 1, recall: 0.505, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7036, root_relative_squared_error: 1.4072, scimark_benchmark: 1354.8751, usercpu_time_millis: 186440, usercpu_time_millis_testing: 54810, usercpu_time_millis_training: 131630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.6561, kappa: 0.3123, kb_relative_information_score: 1040.8329, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6563, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.898, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9486, scimark_benchmark: 1330.2021, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.8782, kappa: 0.7567, kb_relative_information_score: 4194.0004, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8792, predictive_accuracy: 0.8783, prior_entropy: 1, recall: 0.8783, relative_absolute_error: 0.5365, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6532, scimark_benchmark: 1302.224, usercpu_time_millis: 1520, usercpu_time_millis_training: 1520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.6561, kappa: 0.3123, kb_relative_information_score: 1040.8329, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6563, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.898, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9486, scimark_benchmark: 1317.1597, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5151, f_measure: 0.515, kappa: 0.0302, kb_relative_information_score: 245.3004, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.5151, predictive_accuracy: 0.515, prior_entropy: 1, recall: 0.515, relative_absolute_error: 0.97, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6964, root_relative_squared_error: 1.3929, scimark_benchmark: 1358.4523, usercpu_time_millis: 3740, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.602, f_measure: 0.5754, kappa: 0.151, kb_relative_information_score: 1191.733, mean_absolute_error: 0.4276, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.5755, predictive_accuracy: 0.5754, prior_entropy: 1, recall: 0.5754, relative_absolute_error: 0.8552, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6187, root_relative_squared_error: 1.2374, scimark_benchmark: 1314.7093, usercpu_time_millis: 8531720, usercpu_time_millis_testing: 8531720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6652, f_measure: 0.655, kappa: 0.3101, kb_relative_information_score: 1047.6127, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6551, predictive_accuracy: 0.655, prior_entropy: 1, recall: 0.655, relative_absolute_error: 0.8974, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.9506, scimark_benchmark: 925.4974, usercpu_time_millis: 1025480, usercpu_time_millis_testing: 1025480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5584, f_measure: 0.5584, kappa: 0.1167, kb_relative_information_score: 955.3629, mean_absolute_error: 0.4417, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.5584, predictive_accuracy: 0.5584, prior_entropy: 1, recall: 0.5584, relative_absolute_error: 0.8834, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6646, root_relative_squared_error: 1.3292, scimark_benchmark: 923.6051, usercpu_time_millis: 59390, usercpu_time_millis_testing: 59380, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.4949, kappa: -0.0027, kb_relative_information_score: 9.1705, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.4986, predictive_accuracy: 0.4994, prior_entropy: 1, recall: 0.4994, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0029, scimark_benchmark: 923.6051, usercpu_time_millis: 130, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, f_measure: 0.349, kappa: 0.0043, kb_relative_information_score: -0.4518, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.5546, predictive_accuracy: 0.506, prior_entropy: 1, recall: 0.506, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1340.9497, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.8792, kappa: 0.7585, kb_relative_information_score: 5262.1503, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8794, predictive_accuracy: 0.8793, prior_entropy: 1, recall: 0.8793, relative_absolute_error: 0.393, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.6428, scimark_benchmark: 1340.4336, usercpu_time_millis: 3070, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.8646, kappa: 0.7293, kb_relative_information_score: 1874.6355, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8647, predictive_accuracy: 0.8646, prior_entropy: 1, recall: 0.8646, relative_absolute_error: 0.8195, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8352, scimark_benchmark: 1292.1375, usercpu_time_millis: 44500, usercpu_time_millis_testing: 1320, usercpu_time_millis_training: 43180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8669, kappa: 0.7339, kb_relative_information_score: 1925.7645, mean_absolute_error: 0.4071, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.867, predictive_accuracy: 0.8669, prior_entropy: 1, recall: 0.8669, relative_absolute_error: 0.8142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8306, scimark_benchmark: 1311.9814, usercpu_time_millis: 16830, usercpu_time_millis_testing: 620, usercpu_time_millis_training: 16210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8765, kappa: 0.7529, kb_relative_information_score: 2189.1281, mean_absolute_error: 0.3931, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8765, predictive_accuracy: 0.8765, prior_entropy: 1, recall: 0.8765, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8068, scimark_benchmark: 1308.3432, usercpu_time_millis: 7490, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 7100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.6466, kappa: 0.2932, kb_relative_information_score: 1048.3817, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6466, predictive_accuracy: 0.6466, prior_entropy: 1, recall: 0.6466, relative_absolute_error: 0.8944, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.9664, scimark_benchmark: 1354.7191, usercpu_time_millis: 4870, usercpu_time_millis_training: 4870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.6511, kappa: 0.3022, kb_relative_information_score: 1077.387, mean_absolute_error: 0.4461, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6512, predictive_accuracy: 0.6511, prior_entropy: 1, recall: 0.6511, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.48, root_relative_squared_error: 0.96, scimark_benchmark: 1310.6407, usercpu_time_millis: 2290, usercpu_time_millis_training: 2290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5809, f_measure: 0.5735, kappa: 0.1469, kb_relative_information_score: 530.8659, mean_absolute_error: 0.4725, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.5735, predictive_accuracy: 0.5735, prior_entropy: 1, recall: 0.5735, relative_absolute_error: 0.9451, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.529, root_relative_squared_error: 1.0581, scimark_benchmark: 1341.4524, usercpu_time_millis: 610, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5809, f_measure: 0.5735, kappa: 0.1469, kb_relative_information_score: 530.8659, mean_absolute_error: 0.4725, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.5735, predictive_accuracy: 0.5735, prior_entropy: 1, recall: 0.5735, relative_absolute_error: 0.9451, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.529, root_relative_squared_error: 1.0581, scimark_benchmark: 934.4732, usercpu_time_millis: 780, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.6561, kappa: 0.3123, kb_relative_information_score: 1040.8329, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6563, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.898, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9486, scimark_benchmark: 1334.8495, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6659, f_measure: 0.6458, kappa: 0.2915, kb_relative_information_score: 891.0877, mean_absolute_error: 0.4559, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6459, predictive_accuracy: 0.6459, prior_entropy: 1, recall: 0.6459, relative_absolute_error: 0.9118, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4791, root_relative_squared_error: 0.9582, scimark_benchmark: 1341.994, usercpu_time_millis: 220, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.3377, kb_relative_information_score: 0.0075, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.2539, predictive_accuracy: 0.5039, prior_entropy: 1, recall: 0.5039, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1315.4655, usercpu_time_millis: 780, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6652, f_measure: 0.6475, kappa: 0.295, kb_relative_information_score: 868.9187, mean_absolute_error: 0.4571, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6476, predictive_accuracy: 0.6476, prior_entropy: 1, recall: 0.6476, relative_absolute_error: 0.9143, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4791, root_relative_squared_error: 0.9583, scimark_benchmark: 1334.8495, usercpu_time_millis: 370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5893, f_measure: 0.5893, kappa: 0.1786, kb_relative_information_score: 1463.4076, mean_absolute_error: 0.4106, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.5893, predictive_accuracy: 0.5894, prior_entropy: 1, recall: 0.5894, relative_absolute_error: 0.8213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6408, root_relative_squared_error: 1.2817, scimark_benchmark: 1334.8495, usercpu_time_millis: 53790, usercpu_time_millis_testing: 760, usercpu_time_millis_training: 53030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.7702, kappa: 0.5508, kb_relative_information_score: 3145.2789, mean_absolute_error: 0.3241, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8015, predictive_accuracy: 0.7749, prior_entropy: 1, recall: 0.7749, relative_absolute_error: 0.6482, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.404, root_relative_squared_error: 0.808, scimark_benchmark: 1341.994, usercpu_time_millis: 3160, usercpu_time_millis_training: 3160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.6561, kappa: 0.3123, kb_relative_information_score: 1040.4134, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6563, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9486, scimark_benchmark: 1352.1951, usercpu_time_millis: 970, usercpu_time_millis_training: 970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.8519, kappa: 0.7038, kb_relative_information_score: 5677.2099, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8519, predictive_accuracy: 0.8519, prior_entropy: 1, recall: 0.8519, relative_absolute_error: 0.3095, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7309, scimark_benchmark: 1307.7326, usercpu_time_millis: 2530, usercpu_time_millis_testing: 570, usercpu_time_millis_training: 1960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8652, kappa: 0.7305, kb_relative_information_score: 5702.9779, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8653, predictive_accuracy: 0.8652, prior_entropy: 1, recall: 0.8652, relative_absolute_error: 0.3137, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.6863, scimark_benchmark: 1321.527, usercpu_time_millis: 840, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.8766, kappa: 0.7532, kb_relative_information_score: 5293.7147, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.877, predictive_accuracy: 0.8766, prior_entropy: 1, recall: 0.8766, relative_absolute_error: 0.3821, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.615, scimark_benchmark: 1368.9272, usercpu_time_millis: 3200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.8679, kappa: 0.7358, kb_relative_information_score: 2170.5795, mean_absolute_error: 0.3932, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8679, predictive_accuracy: 0.8679, prior_entropy: 1, recall: 0.8679, relative_absolute_error: 0.7865, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8105, scimark_benchmark: 1349.7981, usercpu_time_millis: 3890, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 3780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6659, f_measure: 0.6458, kappa: 0.2915, kb_relative_information_score: 891.0743, mean_absolute_error: 0.4559, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6459, predictive_accuracy: 0.6459, prior_entropy: 1, recall: 0.6459, relative_absolute_error: 0.9118, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4791, root_relative_squared_error: 0.9582, scimark_benchmark: 1368.9272, usercpu_time_millis: 200, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6451, kappa: 0.2901, kb_relative_information_score: 818.363, mean_absolute_error: 0.4599, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6451, predictive_accuracy: 0.6451, prior_entropy: 1, recall: 0.6451, relative_absolute_error: 0.9199, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4793, root_relative_squared_error: 0.9587, scimark_benchmark: 912.7324, usercpu_time_millis: 27800, usercpu_time_millis_testing: 8440, usercpu_time_millis_training: 19360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5584, f_measure: 0.5584, kappa: 0.1167, kb_relative_information_score: 955.1753, mean_absolute_error: 0.4417, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.5584, predictive_accuracy: 0.5584, prior_entropy: 1, recall: 0.5584, relative_absolute_error: 0.8834, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6645, root_relative_squared_error: 1.329, scimark_benchmark: 937.1527, usercpu_time_millis: 16040, usercpu_time_millis_testing: 16040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3377, kb_relative_information_score: -0.0014, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.2539, predictive_accuracy: 0.5039, prior_entropy: 1, recall: 0.5039, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1339.4189, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.863, kappa: 0.7261, kb_relative_information_score: 5663.2568, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8631, predictive_accuracy: 0.863, prior_entropy: 1, recall: 0.863, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.6908, scimark_benchmark: 1465.2979, usercpu_time_millis: 500, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.657, f_measure: 0.6414, kappa: 0.2828, kb_relative_information_score: 2111.5389, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6415, predictive_accuracy: 0.6415, prior_entropy: 1, recall: 0.6415, relative_absolute_error: 0.7509, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5531, root_relative_squared_error: 1.1063, scimark_benchmark: 931.2336, usercpu_time_millis: 3510, usercpu_time_millis_testing: 1040, usercpu_time_millis_training: 2470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6523, f_measure: 0.6403, kappa: 0.2806, kb_relative_information_score: 1379.2866, mean_absolute_error: 0.4265, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6404, predictive_accuracy: 0.6404, prior_entropy: 1, recall: 0.6404, relative_absolute_error: 0.8531, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9895, scimark_benchmark: 945.6434, usercpu_time_millis: 7400, usercpu_time_millis_testing: 2080, usercpu_time_millis_training: 5320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6435, f_measure: 0.6447, kappa: 0.2894, kb_relative_information_score: 1055.9035, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6448, predictive_accuracy: 0.6448, prior_entropy: 1, recall: 0.6448, relative_absolute_error: 0.8942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4833, root_relative_squared_error: 0.9665, scimark_benchmark: 941.7954, usercpu_time_millis: 3290, usercpu_time_millis_testing: 840, usercpu_time_millis_training: 2450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6437, f_measure: 0.6458, kappa: 0.2915, kb_relative_information_score: 1000.9261, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6459, predictive_accuracy: 0.6459, prior_entropy: 1, recall: 0.6459, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.48, root_relative_squared_error: 0.9599, scimark_benchmark: 923.7642, usercpu_time_millis: 3230, usercpu_time_millis_testing: 830, usercpu_time_millis_training: 2400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6437, f_measure: 0.6458, kappa: 0.2915, kb_relative_information_score: 1000.9261, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6459, predictive_accuracy: 0.6459, prior_entropy: 1, recall: 0.6459, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.48, root_relative_squared_error: 0.9599, scimark_benchmark: 894.7455, usercpu_time_millis: 3240, usercpu_time_millis_testing: 830, usercpu_time_millis_training: 2410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6616, f_measure: 0.6547, kappa: 0.3093, kb_relative_information_score: 2298.141, mean_absolute_error: 0.3646, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6547, predictive_accuracy: 0.6547, prior_entropy: 1, recall: 0.6547, relative_absolute_error: 0.7293, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5486, root_relative_squared_error: 1.0972, scimark_benchmark: 894.7455, usercpu_time_millis: 20220, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 20160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.6545, kappa: 0.3091, kb_relative_information_score: 2303.2884, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6546, predictive_accuracy: 0.6545, prior_entropy: 1, recall: 0.6545, relative_absolute_error: 0.7285, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5493, root_relative_squared_error: 1.0986, scimark_benchmark: 936.6206, usercpu_time_millis: 10170, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6612, f_measure: 0.6548, kappa: 0.3096, kb_relative_information_score: 2296.3448, mean_absolute_error: 0.3648, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6548, predictive_accuracy: 0.6548, prior_entropy: 1, recall: 0.6548, relative_absolute_error: 0.7297, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5483, root_relative_squared_error: 1.0967, scimark_benchmark: 942.1229, usercpu_time_millis: 4910, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, f_measure: 0.6544, kappa: 0.3089, kb_relative_information_score: 2295.3364, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6545, predictive_accuracy: 0.6544, prior_entropy: 1, recall: 0.6544, relative_absolute_error: 0.7298, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5482, root_relative_squared_error: 1.0964, scimark_benchmark: 922.9039, usercpu_time_millis: 2340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.6547, kappa: 0.3093, kb_relative_information_score: 2288.9495, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6547, predictive_accuracy: 0.6547, prior_entropy: 1, recall: 0.6547, relative_absolute_error: 0.7309, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5476, root_relative_squared_error: 1.0952, scimark_benchmark: 938.4278, usercpu_time_millis: 1220, usercpu_time_millis_training: 1220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.6393, kappa: 0.2785, kb_relative_information_score: 1011.6313, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6393, predictive_accuracy: 0.6393, prior_entropy: 1, recall: 0.6393, relative_absolute_error: 0.8975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4871, root_relative_squared_error: 0.9742, scimark_benchmark: 936.6206, usercpu_time_millis: 11420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 11410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.6466, kappa: 0.2932, kb_relative_information_score: 1048.3817, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6466, predictive_accuracy: 0.6466, prior_entropy: 1, recall: 0.6466, relative_absolute_error: 0.8944, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.9664, scimark_benchmark: 924.6116, usercpu_time_millis: 7850, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 7840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.6511, kappa: 0.3022, kb_relative_information_score: 1077.387, mean_absolute_error: 0.4461, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6512, predictive_accuracy: 0.6511, prior_entropy: 1, recall: 0.6511, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.48, root_relative_squared_error: 0.96, scimark_benchmark: 924.6116, usercpu_time_millis: 3440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6597, f_measure: 0.6537, kappa: 0.3074, kb_relative_information_score: 1084.2305, mean_absolute_error: 0.4462, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6537, predictive_accuracy: 0.6537, prior_entropy: 1, recall: 0.6537, relative_absolute_error: 0.8925, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4779, root_relative_squared_error: 0.9559, scimark_benchmark: 947.9494, usercpu_time_millis: 1530, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6607, f_measure: 0.6544, kappa: 0.3089, kb_relative_information_score: 1083.9529, mean_absolute_error: 0.4465, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6545, predictive_accuracy: 0.6544, prior_entropy: 1, recall: 0.6544, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4768, root_relative_squared_error: 0.9536, scimark_benchmark: 929.566, usercpu_time_millis: 820, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3377, kb_relative_information_score: -0.0014, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.2539, predictive_accuracy: 0.5039, prior_entropy: 1, recall: 0.5039, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 943.2817, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.5538, kappa: 0.1651, kb_relative_information_score: 705.9554, mean_absolute_error: 0.4638, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.61, predictive_accuracy: 0.5809, prior_entropy: 1, recall: 0.5809, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.491, root_relative_squared_error: 0.9821, scimark_benchmark: 929.566, usercpu_time_millis: 510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6602, f_measure: 0.6533, kappa: 0.3067, kb_relative_information_score: 1088.9433, mean_absolute_error: 0.446, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6534, predictive_accuracy: 0.6533, prior_entropy: 1, recall: 0.6533, relative_absolute_error: 0.892, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4769, root_relative_squared_error: 0.9537, scimark_benchmark: 930.32, usercpu_time_millis: 1250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8604, kappa: 0.7208, kb_relative_information_score: 4656.4993, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.861, predictive_accuracy: 0.8605, prior_entropy: 1, recall: 0.8605, relative_absolute_error: 0.465, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6503, scimark_benchmark: 902.4773, usercpu_time_millis: 2420, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6557, f_measure: 0.6528, kappa: 0.3058, kb_relative_information_score: 979.6646, mean_absolute_error: 0.4522, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6533, predictive_accuracy: 0.6531, prior_entropy: 1, recall: 0.6531, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4765, root_relative_squared_error: 0.9531, scimark_benchmark: 932.3943, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6553, f_measure: 0.6559, kappa: 0.3119, kb_relative_information_score: 1011.7244, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.656, predictive_accuracy: 0.6559, prior_entropy: 1, recall: 0.6559, relative_absolute_error: 0.9015, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9509, scimark_benchmark: 911.0478, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3377, kb_relative_information_score: 63.2844, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.2539, predictive_accuracy: 0.5039, prior_entropy: 1, recall: 0.5039, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7043, root_relative_squared_error: 1.4087, scimark_benchmark: 933.8635, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.863, kappa: 0.7261, kb_relative_information_score: 5663.2568, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8631, predictive_accuracy: 0.863, prior_entropy: 1, recall: 0.863, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.6908, scimark_benchmark: 904.3001, usercpu_time_millis: 750, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8642, kappa: 0.7285, kb_relative_information_score: 4527.7168, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8643, predictive_accuracy: 0.8643, prior_entropy: 1, recall: 0.8643, relative_absolute_error: 0.485, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6494, scimark_benchmark: 918.4924, usercpu_time_millis: 278000, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 277810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6615, f_measure: 0.6572, kappa: 0.3144, kb_relative_information_score: 1025.5521, mean_absolute_error: 0.4499, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6572, predictive_accuracy: 0.6572, prior_entropy: 1, recall: 0.6572, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9479, scimark_benchmark: 901.0726, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3377, kb_relative_information_score: 63.2844, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.2539, predictive_accuracy: 0.5039, prior_entropy: 1, recall: 0.5039, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7043, root_relative_squared_error: 1.4087, scimark_benchmark: 917.7039, usercpu_time_millis: 251660, usercpu_time_millis_testing: 34760, usercpu_time_millis_training: 216900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6529, f_measure: 0.6529, kappa: 0.3058, kb_relative_information_score: 2505.4994, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.653, predictive_accuracy: 0.653, prior_entropy: 1, recall: 0.653, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5891, root_relative_squared_error: 1.1782, scimark_benchmark: 901.0726, usercpu_time_millis: 151220, usercpu_time_millis_testing: 20890, usercpu_time_millis_training: 130330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8946, f_measure: 0.8783, kappa: 0.7566, kb_relative_information_score: 6200.0521, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8783, predictive_accuracy: 0.8783, prior_entropy: 1, recall: 0.8783, relative_absolute_error: 0.2431, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.6937, scimark_benchmark: 943.6956, usercpu_time_millis: 309600, usercpu_time_millis_testing: 1230, usercpu_time_millis_training: 308370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.8803, kappa: 0.7605, kb_relative_information_score: 6230.8339, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8803, predictive_accuracy: 0.8802, prior_entropy: 1, recall: 0.8802, relative_absolute_error: 0.2394, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6895, scimark_benchmark: 945.6434, usercpu_time_millis: 618840, usercpu_time_millis_testing: 2450, usercpu_time_millis_training: 616390,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs