Task
Supervised Classification on GesturePhaseSegmentationProcessed

Supervised Classification on GesturePhaseSegmentationProcessed

Task 14969 Supervised Classification GesturePhaseSegmentationProcessed 20099 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.713, f_measure: 0.5278, kappa: 0.3842, kb_relative_information_score: 4196.4402, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5272, predictive_accuracy: 0.5285, prior_entropy: 2.1936, recall: 0.5285, relative_absolute_error: 0.6311, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4147, root_relative_squared_error: 1.0594, scimark_benchmark: 1071.7291, usercpu_time_millis: 2990, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.6504, kappa: 0.5447, kb_relative_information_score: 5693.1291, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6497, predictive_accuracy: 0.6519, prior_entropy: 2.1936, recall: 0.6519, relative_absolute_error: 0.4547, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.953, scimark_benchmark: 1080.7304, usercpu_time_millis: 22060, usercpu_time_millis_testing: 22050, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, f_measure: 0.5123, kappa: 0.3666, kb_relative_information_score: 3575.6836, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5098, predictive_accuracy: 0.5213, prior_entropy: 2.1936, recall: 0.5213, relative_absolute_error: 0.7331, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.9307, scimark_benchmark: 1071.4575, usercpu_time_millis: 460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.667, kappa: 0.5702, kb_relative_information_score: 4367.711, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6882, predictive_accuracy: 0.6791, prior_entropy: 2.1936, recall: 0.6791, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3049, root_relative_squared_error: 0.7788, scimark_benchmark: 1195.6138, usercpu_time_millis: 12650, usercpu_time_millis_testing: 1360, usercpu_time_millis_training: 11290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7132, f_measure: 0.3834, kappa: 0.2304, kb_relative_information_score: 2872.9039, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4136, predictive_accuracy: 0.4237, prior_entropy: 2.1936, recall: 0.4237, relative_absolute_error: 0.774, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4316, root_relative_squared_error: 1.1025, scimark_benchmark: 1204.6462, usercpu_time_millis: 1260, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7089, f_measure: 0.4822, kappa: 0.3236, kb_relative_information_score: 2502.6359, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5494, predictive_accuracy: 0.5058, prior_entropy: 2.1936, recall: 0.5058, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.9262, scimark_benchmark: 1279.1815, usercpu_time_millis: 17910, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 17890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7071, f_measure: 0.3873, kappa: 0.2308, kb_relative_information_score: 2900.613, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4161, predictive_accuracy: 0.4174, prior_entropy: 2.1936, recall: 0.4174, relative_absolute_error: 0.762, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4524, root_relative_squared_error: 1.1557, scimark_benchmark: 1146.2494, usercpu_time_millis: 490, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SGD: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7594, f_measure: 0.425, kappa: 0.2817, kb_relative_information_score: 2441.9333, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4641, predictive_accuracy: 0.4758, prior_entropy: 2.1936, recall: 0.4758, relative_absolute_error: 0.855, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9245, scimark_benchmark: 730.8493, usercpu_time_millis: 6480, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 6440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.3328, kappa: 0.2299, kb_relative_information_score: 1492.4141, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.394, predictive_accuracy: 0.451, prior_entropy: 2.1936, recall: 0.451, relative_absolute_error: 0.9214, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.9637, scimark_benchmark: 867.1988, usercpu_time_millis: 2140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, f_measure: 0.5907, kappa: 0.472, kb_relative_information_score: 4881.7868, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5956, predictive_accuracy: 0.5985, prior_entropy: 2.1936, recall: 0.5985, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.8358, scimark_benchmark: 1323.6928, usercpu_time_millis: 22540, usercpu_time_millis_testing: 22540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.5722, kappa: 0.4488, kb_relative_information_score: 4301.4076, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5773, predictive_accuracy: 0.5833, prior_entropy: 2.1936, recall: 0.5833, relative_absolute_error: 0.672, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.8425, scimark_benchmark: 1372.8967, usercpu_time_millis: 24740, usercpu_time_millis_testing: 24730, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, f_measure: 0.6211, kappa: 0.5063, kb_relative_information_score: 5340.6136, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6208, predictive_accuracy: 0.6219, prior_entropy: 2.1936, recall: 0.6219, relative_absolute_error: 0.4938, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.9932, scimark_benchmark: 1353.1729, usercpu_time_millis: 8190, usercpu_time_millis_testing: 7920, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, f_measure: 0.4039, kappa: 0.252, kb_relative_information_score: 3067.1307, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4405, predictive_accuracy: 0.4341, prior_entropy: 2.1936, recall: 0.4341, relative_absolute_error: 0.7484, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4371, root_relative_squared_error: 1.1165, scimark_benchmark: 629.874, usercpu_time_millis: 1110, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.6633, kappa: 0.5647, kb_relative_information_score: 4462.582, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6751, predictive_accuracy: 0.6735, prior_entropy: 2.1936, recall: 0.6735, relative_absolute_error: 0.6698, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.305, root_relative_squared_error: 0.7792, scimark_benchmark: 874.1977, usercpu_time_millis: 14760, usercpu_time_millis_testing: 1410, usercpu_time_millis_training: 13350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7184, f_measure: 0.3896, kappa: 0.2391, kb_relative_information_score: 2940.6244, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4254, predictive_accuracy: 0.431, prior_entropy: 2.1936, recall: 0.431, relative_absolute_error: 0.7686, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.425, root_relative_squared_error: 1.0856, scimark_benchmark: 1201.6995, usercpu_time_millis: 1080, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.5158, kappa: 0.3723, kb_relative_information_score: 3608.383, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5133, predictive_accuracy: 0.5255, prior_entropy: 2.1936, recall: 0.5255, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9242, scimark_benchmark: 949.6715, usercpu_time_millis: 870, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SGD: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.5817, kappa: 0.4592, kb_relative_information_score: 4755.0129, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5854, predictive_accuracy: 0.5885, prior_entropy: 2.1936, recall: 0.5885, relative_absolute_error: 0.6226, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.8454, scimark_benchmark: 933.1154, usercpu_time_millis: 15840, usercpu_time_millis_testing: 15270, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.5667, kappa: 0.4413, kb_relative_information_score: 4226.725, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5711, predictive_accuracy: 0.5771, prior_entropy: 2.1936, recall: 0.5771, relative_absolute_error: 0.6816, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.332, root_relative_squared_error: 0.8482, scimark_benchmark: 1081.7151, usercpu_time_millis: 17440, usercpu_time_millis_testing: 17030, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.5886, kappa: 0.4777, kb_relative_information_score: 5585.8326, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6214, predictive_accuracy: 0.5984, prior_entropy: 2.1936, recall: 0.5984, relative_absolute_error: 0.5144, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.8644, scimark_benchmark: 1238.2578, usercpu_time_millis: 22810, usercpu_time_millis_testing: 22800, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.5699, kappa: 0.4553, kb_relative_information_score: 5328.6954, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6042, predictive_accuracy: 0.58, prior_entropy: 2.1936, recall: 0.58, relative_absolute_error: 0.5446, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.8909, scimark_benchmark: 1042.8868, usercpu_time_millis: 14700, usercpu_time_millis_testing: 14050, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6969, f_measure: 0.3351, kappa: 0.2258, kb_relative_information_score: 1751.3639, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.2748, predictive_accuracy: 0.4515, prior_entropy: 2.1936, recall: 0.4515, relative_absolute_error: 0.9096, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.9487, scimark_benchmark: 620.6911, usercpu_time_millis: 16330, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 16300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.3301, kappa: 0.2238, kb_relative_information_score: 1685.0117, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.2629, predictive_accuracy: 0.4489, prior_entropy: 2.1936, recall: 0.4489, relative_absolute_error: 0.9176, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.9582, scimark_benchmark: 942.329, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7587, f_measure: 0.4178, kappa: 0.2756, kb_relative_information_score: 2398.8334, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4664, predictive_accuracy: 0.4728, prior_entropy: 2.1936, recall: 0.4728, relative_absolute_error: 0.8589, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9253, scimark_benchmark: 1222.3943, usercpu_time_millis: 3110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, f_measure: 0.3339, kappa: 0.2244, kb_relative_information_score: 1739.8925, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.2728, predictive_accuracy: 0.4504, prior_entropy: 2.1936, recall: 0.4504, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.948, scimark_benchmark: 911.2966, usercpu_time_millis: 9870, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 9840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6468, f_measure: 0.4333, kappa: 0.2959, kb_relative_information_score: 3414.6013, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4327, predictive_accuracy: 0.488, prior_entropy: 2.1936, recall: 0.488, relative_absolute_error: 0.6682, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4525, root_relative_squared_error: 1.1561, usercpu_time_millis: 80.563, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 80.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6356, f_measure: 0.4303, kappa: 0.2667, kb_relative_information_score: 3128.5144, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4322, predictive_accuracy: 0.4462, prior_entropy: 2.1936, recall: 0.4462, relative_absolute_error: 0.7228, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4707, root_relative_squared_error: 1.2024, usercpu_time_millis: 36.876, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 36.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6625, f_measure: 0.4742, kappa: 0.3249, kb_relative_information_score: 3674.6763, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4752, predictive_accuracy: 0.4967, prior_entropy: 2.1936, recall: 0.4967, relative_absolute_error: 0.6569, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4487, root_relative_squared_error: 1.1462, usercpu_time_millis: 11.391, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 11.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6329, f_measure: 0.4062, kappa: 0.2688, kb_relative_information_score: 3202.9547, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.3862, predictive_accuracy: 0.4743, prior_entropy: 2.1936, recall: 0.4743, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4586, root_relative_squared_error: 1.1714, usercpu_time_millis: 487.888, usercpu_time_millis_testing: 6.428, usercpu_time_millis_training: 481.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1997, kappa: 0, kb_relative_information_score: 1205.2046, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.2114, predictive_accuracy: 0.2881, prior_entropy: 2.1936, recall: 0.2881, relative_absolute_error: 0.9292, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.5336, root_relative_squared_error: 1.3632, usercpu_time_millis: 2.891, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 2.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6322, f_measure: 0.4037, kappa: 0.2665, kb_relative_information_score: 3180.6868, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5009, predictive_accuracy: 0.4693, prior_entropy: 2.1936, recall: 0.4693, relative_absolute_error: 0.6927, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4608, root_relative_squared_error: 1.177, usercpu_time_millis: 413.473, usercpu_time_millis_testing: 0.616, usercpu_time_millis_training: 412.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6275, f_measure: 0.392, kappa: 0.2568, kb_relative_information_score: 3102.9752, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4166, predictive_accuracy: 0.4639, prior_entropy: 2.1936, recall: 0.4639, relative_absolute_error: 0.6997, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4631, root_relative_squared_error: 1.183, usercpu_time_millis: 35.423, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 35.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6136, f_measure: 0.3743, kappa: 0.2275, kb_relative_information_score: 2867.9897, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.3931, predictive_accuracy: 0.4437, prior_entropy: 2.1936, recall: 0.4437, relative_absolute_error: 0.726, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.205, usercpu_time_millis: 36.675, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 36.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, f_measure: 0.5278, kappa: 0.3842, kb_relative_information_score: 4218.3379, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5272, predictive_accuracy: 0.5285, prior_entropy: 2.1936, recall: 0.5285, relative_absolute_error: 0.6154, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4343, root_relative_squared_error: 1.1094, usercpu_time_millis: 14.498, usercpu_time_millis_testing: 0.624, usercpu_time_millis_training: 13.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.6504, kappa: 0.5447, kb_relative_information_score: 5694.7812, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6497, predictive_accuracy: 0.6519, prior_entropy: 2.1936, recall: 0.6519, relative_absolute_error: 0.4543, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.9533, usercpu_time_millis: 88.143, usercpu_time_millis_testing: 12.502, usercpu_time_millis_training: 75.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.762, f_measure: 0.6318, kappa: 0.5227, kb_relative_information_score: 5471.7162, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6335, predictive_accuracy: 0.6371, prior_entropy: 2.1936, recall: 0.6371, relative_absolute_error: 0.4736, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.381, root_relative_squared_error: 0.9733, usercpu_time_millis: 4.112, usercpu_time_millis_testing: 4.041, usercpu_time_millis_training: 0.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, f_measure: 0.4772, kappa: 0.3162, kb_relative_information_score: 3664.6164, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5445, predictive_accuracy: 0.5004, prior_entropy: 2.1936, recall: 0.5004, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4471, root_relative_squared_error: 1.142, usercpu_time_millis: 101.735, usercpu_time_millis_testing: 0.514, usercpu_time_millis_training: 101.221,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6161, f_measure: 0.3576, kappa: 0.2331, kb_relative_information_score: 2917.4787, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.378, predictive_accuracy: 0.4505, prior_entropy: 2.1936, recall: 0.4505, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4688, root_relative_squared_error: 1.1976, usercpu_time_millis: 0.915, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.901,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6098, f_measure: 0.3227, kappa: 0.2195, kb_relative_information_score: 2812.4487, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.2564, predictive_accuracy: 0.4433, prior_entropy: 2.1936, recall: 0.4433, relative_absolute_error: 0.7265, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4719, root_relative_squared_error: 1.2054, usercpu_time_millis: 0.931, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6318, f_measure: 0.4092, kappa: 0.2649, kb_relative_information_score: 3185.9696, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4515, predictive_accuracy: 0.4592, prior_entropy: 2.1936, recall: 0.4592, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4651, root_relative_squared_error: 1.1881, usercpu_time_millis: 184.141, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 184.018,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6192, f_measure: 0.3871, kappa: 0.2306, kb_relative_information_score: 2766.5494, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4161, predictive_accuracy: 0.4172, prior_entropy: 2.1936, recall: 0.4172, relative_absolute_error: 0.7606, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4828, root_relative_squared_error: 1.2334, usercpu_time_millis: 10.309, usercpu_time_millis_testing: 9.658, usercpu_time_millis_training: 0.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6393, f_measure: 0.424, kappa: 0.2805, kb_relative_information_score: 3298.5344, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4628, predictive_accuracy: 0.475, prior_entropy: 2.1936, recall: 0.475, relative_absolute_error: 0.6851, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4582, root_relative_squared_error: 1.1706, usercpu_time_millis: 11.737, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 11.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.2273, kappa: -0.0002, kb_relative_information_score: 1132.8444, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.2113, predictive_accuracy: 0.2771, prior_entropy: 2.1936, recall: 0.2771, relative_absolute_error: 0.9434, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.5377, root_relative_squared_error: 1.3737, usercpu_time_millis: 1.909, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.873,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6047, f_measure: 0.3797, kappa: 0.2079, kb_relative_information_score: 2680.3705, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.3748, predictive_accuracy: 0.4142, prior_entropy: 2.1936, recall: 0.4142, relative_absolute_error: 0.7646, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4841, root_relative_squared_error: 1.2366, usercpu_time_millis: 2.254, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 1.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.4319, kappa: 0.2808, kb_relative_information_score: 3293.5022, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4684, predictive_accuracy: 0.4562, prior_entropy: 2.1936, recall: 0.4562, relative_absolute_error: 0.7097, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4664, root_relative_squared_error: 1.1914, usercpu_time_millis: 1.064, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 0.946,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, f_measure: 0.6646, kappa: 0.5684, kb_relative_information_score: 5797.6851, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.692, predictive_accuracy: 0.6788, prior_entropy: 2.1936, recall: 0.6788, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.9156, usercpu_time_millis: 1892.785, usercpu_time_millis_testing: 231.769, usercpu_time_millis_training: 1661.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6339, f_measure: 0.4096, kappa: 0.2688, kb_relative_information_score: 3182.6368, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.3934, predictive_accuracy: 0.4689, prior_entropy: 2.1936, recall: 0.4689, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4609, root_relative_squared_error: 1.1775, usercpu_time_millis: 2.478, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 2.39,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.6504, kappa: 0.5447, kb_relative_information_score: 5693.1291, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6497, predictive_accuracy: 0.6519, prior_entropy: 2.1936, recall: 0.6519, relative_absolute_error: 0.4547, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.953, scimark_benchmark: 897.3581, usercpu_time_millis: 13580, usercpu_time_millis_testing: 13410, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.4245, kappa: 0.2816, kb_relative_information_score: 2434.6231, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4641, predictive_accuracy: 0.4759, prior_entropy: 2.1936, recall: 0.4759, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9245, scimark_benchmark: 934.2008, usercpu_time_millis: 5130, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 5050,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6047, f_measure: 0.3797, kappa: 0.2079, kb_relative_information_score: 2680.3705, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.3748, predictive_accuracy: 0.4142, prior_entropy: 2.1936, recall: 0.4142, relative_absolute_error: 0.7646, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4841, root_relative_squared_error: 1.2366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7132, f_measure: 0.3834, kappa: 0.2304, kb_relative_information_score: 2872.9039, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4136, predictive_accuracy: 0.4237, prior_entropy: 2.1936, recall: 0.4237, relative_absolute_error: 0.774, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4316, root_relative_squared_error: 1.1025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7071, f_measure: 0.3873, kappa: 0.2308, kb_relative_information_score: 2900.613, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4161, predictive_accuracy: 0.4174, prior_entropy: 2.1936, recall: 0.4174, relative_absolute_error: 0.762, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4524, root_relative_squared_error: 1.1557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.3301, kappa: 0.2238, kb_relative_information_score: 1685.0117, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.2629, predictive_accuracy: 0.4489, prior_entropy: 2.1936, recall: 0.4489, relative_absolute_error: 0.9176, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.9582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6047, f_measure: 0.3797, kappa: 0.2079, kb_relative_information_score: 2680.3705, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.3748, predictive_accuracy: 0.4142, prior_entropy: 2.1936, recall: 0.4142, relative_absolute_error: 0.7646, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4841, root_relative_squared_error: 1.2366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7132, f_measure: 0.3834, kappa: 0.2304, kb_relative_information_score: 2872.9039, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4136, predictive_accuracy: 0.4237, prior_entropy: 2.1936, recall: 0.4237, relative_absolute_error: 0.774, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4316, root_relative_squared_error: 1.1025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, f_measure: 0.5123, kappa: 0.3666, kb_relative_information_score: 3575.6836, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5098, predictive_accuracy: 0.5213, prior_entropy: 2.1936, recall: 0.5213, relative_absolute_error: 0.7331, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.9307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.1375, kb_relative_information_score: 0.3762, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.0893, predictive_accuracy: 0.2988, prior_entropy: 2.1936, recall: 0.2988, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3915, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6799, f_measure: 0.5062, kappa: 0.3551, kb_relative_information_score: 3952.7236, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5061, predictive_accuracy: 0.5063, prior_entropy: 2.1936, recall: 0.5063, relative_absolute_error: 0.6443, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4444, root_relative_squared_error: 1.1352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.3301, kappa: 0.2238, kb_relative_information_score: 1685.0117, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.2629, predictive_accuracy: 0.4489, prior_entropy: 2.1936, recall: 0.4489, relative_absolute_error: 0.9176, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.9582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7071, f_measure: 0.3873, kappa: 0.2308, kb_relative_information_score: 2900.613, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4161, predictive_accuracy: 0.4174, prior_entropy: 2.1936, recall: 0.4174, relative_absolute_error: 0.762, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4524, root_relative_squared_error: 1.1557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7598, f_measure: 0.5547, kappa: 0.4186, kb_relative_information_score: 4534.574, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5552, predictive_accuracy: 0.5542, prior_entropy: 2.1936, recall: 0.5542, relative_absolute_error: 0.5952, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4027, root_relative_squared_error: 1.0287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.5389, kappa: 0.3981, kb_relative_information_score: 4270.5031, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5389, predictive_accuracy: 0.5389, prior_entropy: 2.1936, recall: 0.5389, relative_absolute_error: 0.6183, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4149, root_relative_squared_error: 1.0598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.1375, kb_relative_information_score: 0.3762, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.0893, predictive_accuracy: 0.2988, prior_entropy: 2.1936, recall: 0.2988, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3915, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7073, f_measure: 0.4822, kappa: 0.3236, kb_relative_information_score: 656.1014, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5494, predictive_accuracy: 0.5058, prior_entropy: 2.1936, recall: 0.5058, relative_absolute_error: 1.0127, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3889, root_relative_squared_error: 0.9935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.55, kappa: 0.4177, kb_relative_information_score: 4465.4207, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5562, predictive_accuracy: 0.5507, prior_entropy: 2.1936, recall: 0.5507, relative_absolute_error: 0.6374, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.9149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.762, f_measure: 0.47, kappa: 0.3314, kb_relative_information_score: 3030.5286, mean_absolute_error: 0.2429, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4729, predictive_accuracy: 0.4998, prior_entropy: 2.1936, recall: 0.4998, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.6448, kappa: 0.5397, kb_relative_information_score: 5475.2716, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6456, predictive_accuracy: 0.6483, prior_entropy: 2.1936, recall: 0.6483, relative_absolute_error: 0.5196, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.32, root_relative_squared_error: 0.8174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.4734, kappa: 0.3172, kb_relative_information_score: 3676.87, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4806, predictive_accuracy: 0.4712, prior_entropy: 2.1936, recall: 0.4712, relative_absolute_error: 0.7068, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4084, root_relative_squared_error: 1.0434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7217, f_measure: 0.4289, kappa: 0.2701, kb_relative_information_score: 2123.4415, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4324, predictive_accuracy: 0.4584, prior_entropy: 2.1936, recall: 0.4584, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.367, root_relative_squared_error: 0.9376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.6504, kappa: 0.5447, kb_relative_information_score: 5694.7812, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6497, predictive_accuracy: 0.6519, prior_entropy: 2.1936, recall: 0.6519, relative_absolute_error: 0.4543, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6086, f_measure: 0.2907, kappa: 0.1676, kb_relative_information_score: 958.5075, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.2523, predictive_accuracy: 0.4035, prior_entropy: 2.1936, recall: 0.4035, relative_absolute_error: 0.9477, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.9909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1375, kb_relative_information_score: 1275.2128, mean_absolute_error: 0.2805, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.0893, predictive_accuracy: 0.2988, prior_entropy: 2.1936, recall: 0.2988, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.5296, root_relative_squared_error: 1.3529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, f_measure: 0.1975, kappa: 0.0669, kb_relative_information_score: 423.6782, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4213, predictive_accuracy: 0.3106, prior_entropy: 2.1936, recall: 0.3106, relative_absolute_error: 1.0427, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3995, root_relative_squared_error: 1.0205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, f_measure: 0.4902, kappa: 0.3371, kb_relative_information_score: 3783.8155, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4875, predictive_accuracy: 0.4956, prior_entropy: 2.1936, recall: 0.4956, relative_absolute_error: 0.6583, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4492, root_relative_squared_error: 1.1475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.1247, kappa: 0.0021, kb_relative_information_score: 1154.0346, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4077, predictive_accuracy: 0.279, prior_entropy: 2.1936, recall: 0.279, relative_absolute_error: 0.9409, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.537, root_relative_squared_error: 1.3718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7398, f_measure: 0.4912, kappa: 0.3448, kb_relative_information_score: 3998.7989, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5034, predictive_accuracy: 0.5112, prior_entropy: 2.1936, recall: 0.5112, relative_absolute_error: 0.6683, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7679, f_measure: 0.48, kappa: 0.3303, kb_relative_information_score: 3441.442, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4756, predictive_accuracy: 0.497, prior_entropy: 2.1936, recall: 0.497, relative_absolute_error: 0.7484, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.9348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.4578, kappa: 0.3143, kb_relative_information_score: 2587.9473, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4606, predictive_accuracy: 0.4901, prior_entropy: 2.1936, recall: 0.4901, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.9142,

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