OpenML
Supervised Classification on fri_c0_1000_10

Supervised Classification on fri_c0_1000_10

Task 3710 Supervised Classification fri_c0_1000_10 438 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: 0.8522, f_measure: 0.7829, kappa: 0.5657, kb_relative_information_score: 421.3719, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.7831, predictive_accuracy: 0.783, prior_entropy: 0.9998, recall: 0.783, relative_absolute_error: 0.6016, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.7867, scimark_benchmark: 1873.1108, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.884, kappa: 0.7679, kb_relative_information_score: 767.891, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 0.9998, recall: 0.884, relative_absolute_error: 0.2321, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.6813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.8389, kappa: 0.6777, kb_relative_information_score: 677.8491, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8395, predictive_accuracy: 0.839, prior_entropy: 0.9998, recall: 0.839, relative_absolute_error: 0.3221, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8026, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.8276, kappa: 0.6554, kb_relative_information_score: 655.8389, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8297, predictive_accuracy: 0.828, prior_entropy: 0.9998, recall: 0.828, relative_absolute_error: 0.3441, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8296, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.807, kappa: 0.614, kb_relative_information_score: 533.3963, mean_absolute_error: 0.2444, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8072, predictive_accuracy: 0.807, prior_entropy: 0.9998, recall: 0.807, relative_absolute_error: 0.489, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7826, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.797, kappa: 0.594, kb_relative_information_score: 517.4625, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.7972, predictive_accuracy: 0.797, prior_entropy: 0.9998, recall: 0.797, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.7888, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.862, kappa: 0.7239, kb_relative_information_score: 477.2308, mean_absolute_error: 0.2836, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.862, predictive_accuracy: 0.862, prior_entropy: 0.9998, recall: 0.862, relative_absolute_error: 0.5674, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.6765, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.862, kappa: 0.7239, kb_relative_information_score: 484.0758, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.862, predictive_accuracy: 0.862, prior_entropy: 0.9998, recall: 0.862, relative_absolute_error: 0.5602, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.6711, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.8469, kappa: 0.6937, kb_relative_information_score: 693.8566, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8473, predictive_accuracy: 0.847, prior_entropy: 0.9998, recall: 0.847, relative_absolute_error: 0.3061, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3434, kb_relative_information_score: 17.5417, mean_absolute_error: 0.491, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.2591, predictive_accuracy: 0.509, prior_entropy: 0.9998, recall: 0.509, relative_absolute_error: 0.9823, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7007, root_relative_squared_error: 1.4017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.8339, kappa: 0.6677, kb_relative_information_score: 623.3656, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8342, predictive_accuracy: 0.834, prior_entropy: 0.9998, recall: 0.834, relative_absolute_error: 0.3896, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.7667, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.8299, kappa: 0.6597, kb_relative_information_score: 627.8499, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8301, predictive_accuracy: 0.83, prior_entropy: 0.9998, recall: 0.83, relative_absolute_error: 0.3821, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.397, root_relative_squared_error: 0.794, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.868, kappa: 0.7358, kb_relative_information_score: 635.2842, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8681, predictive_accuracy: 0.868, prior_entropy: 0.9998, recall: 0.868, relative_absolute_error: 0.3883, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.5991, scimark_benchmark: 1806.5905, usercpu_time_millis: 187.2012, usercpu_time_millis_testing: 31.2002, usercpu_time_millis_training: 156.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.859, kappa: 0.7179, kb_relative_information_score: 564.9129, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.859, predictive_accuracy: 0.859, prior_entropy: 0.9998, recall: 0.859, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6324, scimark_benchmark: 1806.5905, usercpu_time_millis: 265.2017, usercpu_time_millis_testing: 31.2002, usercpu_time_millis_training: 234.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, f_measure: 0.85, kappa: 0.6998, kb_relative_information_score: 698.7385, mean_absolute_error: 0.1508, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9998, recall: 0.85, relative_absolute_error: 0.3017, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.7739, scimark_benchmark: 1806.5905, usercpu_time_millis: 46.8003, usercpu_time_millis_testing: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.7198, kappa: 0.4394, kb_relative_information_score: 439.0337, mean_absolute_error: 0.2805, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.7202, predictive_accuracy: 0.72, prior_entropy: 0.9998, recall: 0.72, relative_absolute_error: 0.5612, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5286, root_relative_squared_error: 1.0573, scimark_benchmark: 1806.5905, usercpu_time_millis: 46.8003, usercpu_time_millis_testing: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.861, kappa: 0.7219, kb_relative_information_score: 474.8672, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.861, predictive_accuracy: 0.861, prior_entropy: 0.9998, recall: 0.861, relative_absolute_error: 0.5702, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.6776, scimark_benchmark: 1877.5305, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.86, kappa: 0.72, kb_relative_information_score: 481.7693, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9998, recall: 0.86, relative_absolute_error: 0.5628, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.6717, scimark_benchmark: 1850.8887, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.3434, kb_relative_information_score: -0.006, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.2591, predictive_accuracy: 0.509, prior_entropy: 0.9998, recall: 0.509, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.8368, kappa: 0.6736, kb_relative_information_score: 673.8472, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8377, predictive_accuracy: 0.837, prior_entropy: 0.9998, recall: 0.837, relative_absolute_error: 0.3261, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8076, usercpu_time_millis: 233.856, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 233.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.776, kappa: 0.5518, kb_relative_information_score: 551.7904, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.776, predictive_accuracy: 0.776, prior_entropy: 0.9998, recall: 0.776, relative_absolute_error: 0.4481, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9467, usercpu_time_millis: 21.506, usercpu_time_millis_testing: 0.482, usercpu_time_millis_training: 21.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.781, kappa: 0.5619, kb_relative_information_score: 561.7951, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.7811, predictive_accuracy: 0.781, prior_entropy: 0.9998, recall: 0.781, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9361, usercpu_time_millis: 2.343, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 2.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.859, kappa: 0.7179, kb_relative_information_score: 717.8677, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.859, predictive_accuracy: 0.859, prior_entropy: 0.9998, recall: 0.859, relative_absolute_error: 0.2821, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7511, usercpu_time_millis: 1.59, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 1.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.837, kappa: 0.6739, kb_relative_information_score: 673.8472, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.837, predictive_accuracy: 0.837, prior_entropy: 0.9998, recall: 0.837, relative_absolute_error: 0.3261, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8076, usercpu_time_millis: 0.614, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.84, kappa: 0.6799, kb_relative_information_score: 679.85, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9998, recall: 0.84, relative_absolute_error: 0.3201, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8001, usercpu_time_millis: 0.358, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.7889, kappa: 0.5777, kb_relative_information_score: 577.8025, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.7891, predictive_accuracy: 0.789, prior_entropy: 0.9998, recall: 0.789, relative_absolute_error: 0.4221, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9188, usercpu_time_millis: 0.258, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.7162, kappa: 0.4329, kb_relative_information_score: 433.7355, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.7183, predictive_accuracy: 0.717, prior_entropy: 0.9998, recall: 0.717, relative_absolute_error: 0.5662, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.532, root_relative_squared_error: 1.0641, usercpu_time_millis: 0.459, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.831, kappa: 0.6619, kb_relative_information_score: 661.8417, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.831, predictive_accuracy: 0.831, prior_entropy: 0.9998, recall: 0.831, relative_absolute_error: 0.3381, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.8223, usercpu_time_millis: 8.425, usercpu_time_millis_testing: 0.454, usercpu_time_millis_training: 7.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.851, kappa: 0.7019, kb_relative_information_score: 701.8603, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.851, predictive_accuracy: 0.851, prior_entropy: 0.9998, recall: 0.851, relative_absolute_error: 0.2981, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.386, root_relative_squared_error: 0.7721, usercpu_time_millis: 28.659, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 28.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.8589, kappa: 0.7177, kb_relative_information_score: 717.8677, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8596, predictive_accuracy: 0.859, prior_entropy: 0.9998, recall: 0.859, relative_absolute_error: 0.2821, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7511, usercpu_time_millis: 65.948, usercpu_time_millis_testing: 7.55, usercpu_time_millis_training: 58.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8576, f_measure: 0.8579, kappa: 0.7157, kb_relative_information_score: 715.8668, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8586, predictive_accuracy: 0.858, prior_entropy: 0.9998, recall: 0.858, relative_absolute_error: 0.2841, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7538, usercpu_time_millis: 11.102, usercpu_time_millis_testing: 0.524, usercpu_time_millis_training: 10.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.779, kappa: 0.5583, kb_relative_information_score: 557.7932, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.7799, predictive_accuracy: 0.779, prior_entropy: 0.9998, recall: 0.779, relative_absolute_error: 0.4421, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9404, usercpu_time_millis: 109.27, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 109.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8797, f_measure: 0.8799, kappa: 0.7598, kb_relative_information_score: 759.8873, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8802, predictive_accuracy: 0.88, prior_entropy: 0.9998, recall: 0.88, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6929, usercpu_time_millis: 367.317, usercpu_time_millis_testing: 4.928, usercpu_time_millis_training: 362.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.865, kappa: 0.7299, kb_relative_information_score: 729.8733, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.865, predictive_accuracy: 0.865, prior_entropy: 0.9998, recall: 0.865, relative_absolute_error: 0.2701, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.735, usercpu_time_millis: 9.028, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 8.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.855, kappa: 0.71, kb_relative_information_score: 709.864, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8552, predictive_accuracy: 0.855, prior_entropy: 0.9998, recall: 0.855, relative_absolute_error: 0.2901, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7617, usercpu_time_millis: 0.254, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.838, kappa: 0.6759, kb_relative_information_score: 675.8482, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.838, predictive_accuracy: 0.838, prior_entropy: 0.9998, recall: 0.838, relative_absolute_error: 0.3241, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8051, usercpu_time_millis: 0.229, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.835, kappa: 0.67, kb_relative_information_score: 669.8454, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8351, predictive_accuracy: 0.835, prior_entropy: 0.9998, recall: 0.835, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8125, usercpu_time_millis: 0.828, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.836, kappa: 0.672, kb_relative_information_score: 671.8463, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8361, predictive_accuracy: 0.836, prior_entropy: 0.9998, recall: 0.836, relative_absolute_error: 0.3281, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8101, usercpu_time_millis: 0.563, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.8265, kappa: 0.6534, kb_relative_information_score: 653.8379, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8292, predictive_accuracy: 0.827, prior_entropy: 0.9998, recall: 0.827, relative_absolute_error: 0.3461, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.832, usercpu_time_millis: 1.682, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 1.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.8125, kappa: 0.6253, kb_relative_information_score: 625.8249, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8148, predictive_accuracy: 0.813, prior_entropy: 0.9998, recall: 0.813, relative_absolute_error: 0.3741, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.865, usercpu_time_millis: 2.381, usercpu_time_millis_testing: 0.672, usercpu_time_millis_training: 1.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, f_measure: 0.6549, kappa: 0.3095, kb_relative_information_score: 309.6777, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.6549, predictive_accuracy: 0.655, prior_entropy: 0.9998, recall: 0.655, relative_absolute_error: 0.6902, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5874, root_relative_squared_error: 1.1749, usercpu_time_millis: 1.375, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 0.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.826, kappa: 0.652, kb_relative_information_score: 651.837, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8263, predictive_accuracy: 0.826, prior_entropy: 0.9998, recall: 0.826, relative_absolute_error: 0.3481, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8344, usercpu_time_millis: 0.388, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.846, kappa: 0.6918, kb_relative_information_score: 691.8556, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.846, predictive_accuracy: 0.846, prior_entropy: 0.9998, recall: 0.846, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.785, usercpu_time_millis: 1.226, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 1.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.86, kappa: 0.72, kb_relative_information_score: 719.8687, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9998, recall: 0.86, relative_absolute_error: 0.2801, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7485, usercpu_time_millis: 0.943, usercpu_time_millis_testing: 0.777, usercpu_time_millis_training: 0.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.856, kappa: 0.712, kb_relative_information_score: 711.8649, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8562, predictive_accuracy: 0.856, prior_entropy: 0.9998, recall: 0.856, relative_absolute_error: 0.2881, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7591, usercpu_time_millis: 24.312, usercpu_time_millis_testing: 1.857, usercpu_time_millis_training: 22.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.836, kappa: 0.672, kb_relative_information_score: 671.8463, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8361, predictive_accuracy: 0.836, prior_entropy: 0.9998, recall: 0.836, relative_absolute_error: 0.3281, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8101, usercpu_time_millis: 0.556, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.834, kappa: 0.6679, kb_relative_information_score: 667.8444, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.834, predictive_accuracy: 0.834, prior_entropy: 0.9998, recall: 0.834, relative_absolute_error: 0.3321, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.815, usercpu_time_millis: 0.927, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.858, kappa: 0.7158, kb_relative_information_score: 715.8668, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8581, predictive_accuracy: 0.858, prior_entropy: 0.9998, recall: 0.858, relative_absolute_error: 0.2841, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7538, usercpu_time_millis: 2.435, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 2.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.836, kappa: 0.672, kb_relative_information_score: 671.8463, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8361, predictive_accuracy: 0.836, prior_entropy: 0.9998, recall: 0.836, relative_absolute_error: 0.3281, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8101, usercpu_time_millis: 0.293, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7735, f_measure: 0.7738, kappa: 0.5475, kb_relative_information_score: 547.7886, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.7744, predictive_accuracy: 0.774, prior_entropy: 0.9998, recall: 0.774, relative_absolute_error: 0.4521, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9509, usercpu_time_millis: 0.143, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.859, kappa: 0.7179, kb_relative_information_score: 717.8677, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.859, predictive_accuracy: 0.859, prior_entropy: 0.9998, recall: 0.859, relative_absolute_error: 0.2821, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7511, usercpu_time_millis: 0.868, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 0.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.836, kappa: 0.672, kb_relative_information_score: 671.8463, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8361, predictive_accuracy: 0.836, prior_entropy: 0.9998, recall: 0.836, relative_absolute_error: 0.3281, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8101, usercpu_time_millis: 0.08, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.836, kappa: 0.672, kb_relative_information_score: 671.8463, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8361, predictive_accuracy: 0.836, prior_entropy: 0.9998, recall: 0.836, relative_absolute_error: 0.3281, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8101, usercpu_time_millis: 0.065, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.837, kappa: 0.6739, kb_relative_information_score: 673.8472, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.837, predictive_accuracy: 0.837, prior_entropy: 0.9998, recall: 0.837, relative_absolute_error: 0.3261, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8076, usercpu_time_millis: 0.272, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.888, kappa: 0.7759, kb_relative_information_score: 775.8947, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8881, predictive_accuracy: 0.888, prior_entropy: 0.9998, recall: 0.888, relative_absolute_error: 0.2241, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6694, usercpu_time_millis: 162.39, usercpu_time_millis_testing: 9.607, usercpu_time_millis_training: 152.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.837, kappa: 0.6739, kb_relative_information_score: 673.8472, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.837, predictive_accuracy: 0.837, prior_entropy: 0.9998, recall: 0.837, relative_absolute_error: 0.3261, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8076, usercpu_time_millis: 2.012, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 1.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.82, kappa: 0.6398, kb_relative_information_score: 639.8314, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8201, predictive_accuracy: 0.82, prior_entropy: 0.9998, recall: 0.82, relative_absolute_error: 0.3601, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8487, usercpu_time_millis: 3.244, usercpu_time_millis_testing: 0.561, usercpu_time_millis_training: 2.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.7198, kappa: 0.4394, kb_relative_information_score: 439.7383, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.7202, predictive_accuracy: 0.72, prior_entropy: 0.9998, recall: 0.72, relative_absolute_error: 0.5602, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0585, usercpu_time_millis: 3.27, usercpu_time_millis_testing: 0.794, usercpu_time_millis_training: 2.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.8299, kappa: 0.6597, kb_relative_information_score: 659.8407, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8301, predictive_accuracy: 0.83, prior_entropy: 0.9998, recall: 0.83, relative_absolute_error: 0.3401, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8248, usercpu_time_millis: 3.075, usercpu_time_millis_testing: 0.945, usercpu_time_millis_training: 2.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.837, kappa: 0.6739, kb_relative_information_score: 673.8472, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.837, predictive_accuracy: 0.837, prior_entropy: 0.9998, recall: 0.837, relative_absolute_error: 0.3261, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8076, usercpu_time_millis: 1.833, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 1.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.871, kappa: 0.7419, kb_relative_information_score: 741.8789, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.871, predictive_accuracy: 0.871, prior_entropy: 0.9998, recall: 0.871, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.7184, usercpu_time_millis: 4.803, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 4.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, f_measure: 0.842, kappa: 0.6839, kb_relative_information_score: 683.8519, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.842, predictive_accuracy: 0.842, prior_entropy: 0.9998, recall: 0.842, relative_absolute_error: 0.3161, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.7951, usercpu_time_millis: 0.589, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 0.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7032, f_measure: 0.7033, kappa: 0.407, kb_relative_information_score: 407.7234, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.7049, predictive_accuracy: 0.704, prior_entropy: 0.9998, recall: 0.704, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.0883, usercpu_time_millis: 0.701, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.8369, kappa: 0.6737, kb_relative_information_score: 673.8472, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8372, predictive_accuracy: 0.837, prior_entropy: 0.9998, recall: 0.837, relative_absolute_error: 0.3261, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8076, usercpu_time_millis: 55.798, usercpu_time_millis_testing: 7.483, usercpu_time_millis_training: 48.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6674, f_measure: 0.6669, kappa: 0.3344, kb_relative_information_score: 333.6889, mean_absolute_error: 0.333, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.6678, predictive_accuracy: 0.667, prior_entropy: 0.9998, recall: 0.667, relative_absolute_error: 0.6662, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5771, root_relative_squared_error: 1.1543, usercpu_time_millis: 0.466, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.7868, kappa: 0.5735, kb_relative_information_score: 573.8007, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.7875, predictive_accuracy: 0.787, prior_entropy: 0.9998, recall: 0.787, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.9232, usercpu_time_millis: 0.967, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 0.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.8399, kappa: 0.6797, kb_relative_information_score: 679.85, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8403, predictive_accuracy: 0.84, prior_entropy: 0.9998, recall: 0.84, relative_absolute_error: 0.3201, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8001, usercpu_time_millis: 4.951, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 4.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.764, kappa: 0.5279, kb_relative_information_score: 527.7792, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.7641, predictive_accuracy: 0.764, prior_entropy: 0.9998, recall: 0.764, relative_absolute_error: 0.4722, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4858, root_relative_squared_error: 0.9718, usercpu_time_millis: 2.951, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 2.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.836, kappa: 0.672, kb_relative_information_score: 671.8463, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8361, predictive_accuracy: 0.836, prior_entropy: 0.9998, recall: 0.836, relative_absolute_error: 0.3281, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8101, usercpu_time_millis: 0.674, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.866, kappa: 0.7319, kb_relative_information_score: 731.8743, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.866, predictive_accuracy: 0.866, prior_entropy: 0.9998, recall: 0.866, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7322, usercpu_time_millis: 29.027, usercpu_time_millis_testing: 2.186, usercpu_time_millis_training: 26.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.858, kappa: 0.7159, kb_relative_information_score: 715.8668, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.858, predictive_accuracy: 0.858, prior_entropy: 0.9998, recall: 0.858, relative_absolute_error: 0.2841, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7538, usercpu_time_millis: 6.917, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 6.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.806, kappa: 0.612, kb_relative_information_score: 511.1181, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8063, predictive_accuracy: 0.806, prior_entropy: 0.9998, recall: 0.806, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7647, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.827, kappa: 0.6538, kb_relative_information_score: 436.951, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.827, predictive_accuracy: 0.827, prior_entropy: 0.9998, recall: 0.827, relative_absolute_error: 0.6043, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.7145, scimark_benchmark: 972.587, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.842, kappa: 0.6839, kb_relative_information_score: 538.1298, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.842, predictive_accuracy: 0.842, prior_entropy: 0.9998, recall: 0.842, relative_absolute_error: 0.4909, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.682, scimark_benchmark: 851.2074, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.857, kappa: 0.7139, kb_relative_information_score: 713.8659, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.857, predictive_accuracy: 0.857, prior_entropy: 0.9998, recall: 0.857, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7564, scimark_benchmark: 904.6764, usercpu_time_millis: 220, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.857, kappa: 0.7139, kb_relative_information_score: 713.8659, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.857, predictive_accuracy: 0.857, prior_entropy: 0.9998, recall: 0.857, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7564, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.86, kappa: 0.7199, kb_relative_information_score: 570.7143, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9998, recall: 0.86, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6551, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.8169, kappa: 0.6337, kb_relative_information_score: 510.8099, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8173, predictive_accuracy: 0.817, prior_entropy: 0.9998, recall: 0.817, relative_absolute_error: 0.5157, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7238, scimark_benchmark: 927.2917, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.857, kappa: 0.7139, kb_relative_information_score: 713.8659, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.857, predictive_accuracy: 0.857, prior_entropy: 0.9998, recall: 0.857, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7564, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.8189, kappa: 0.6377, kb_relative_information_score: 454.9785, mean_absolute_error: 0.2907, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8191, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.7135, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.8169, kappa: 0.6337, kb_relative_information_score: 510.8099, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8173, predictive_accuracy: 0.817, prior_entropy: 0.9998, recall: 0.817, relative_absolute_error: 0.5157, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7238, scimark_benchmark: 936.3373, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.859, kappa: 0.7179, kb_relative_information_score: 564.9129, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.859, predictive_accuracy: 0.859, prior_entropy: 0.9998, recall: 0.859, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6324, scimark_benchmark: 947.1781, usercpu_time_millis: 370, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.806, kappa: 0.612, kb_relative_information_score: 511.1181, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8063, predictive_accuracy: 0.806, prior_entropy: 0.9998, recall: 0.806, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7647, scimark_benchmark: 819.5729, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.827, kappa: 0.6538, kb_relative_information_score: 436.951, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.827, predictive_accuracy: 0.827, prior_entropy: 0.9998, recall: 0.827, relative_absolute_error: 0.6043, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.7145, scimark_benchmark: 901.6243, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.842, kappa: 0.6839, kb_relative_information_score: 538.1298, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.842, predictive_accuracy: 0.842, prior_entropy: 0.9998, recall: 0.842, relative_absolute_error: 0.4909, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.682, scimark_benchmark: 944.0133, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.857, kappa: 0.7139, kb_relative_information_score: 713.8659, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.857, predictive_accuracy: 0.857, prior_entropy: 0.9998, recall: 0.857, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7564, scimark_benchmark: 926.5462, usercpu_time_millis: 210, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.8189, kappa: 0.6377, kb_relative_information_score: 454.9785, mean_absolute_error: 0.2907, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8191, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.7135, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.86, kappa: 0.7199, kb_relative_information_score: 570.7143, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9998, recall: 0.86, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6551, scimark_benchmark: 933.3455, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.867, kappa: 0.7339, kb_relative_information_score: 608.5118, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.867, predictive_accuracy: 0.867, prior_entropy: 0.9998, recall: 0.867, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.6252, scimark_benchmark: 941.7976, usercpu_time_millis: 13380, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 13160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.8169, kappa: 0.6337, kb_relative_information_score: 510.8099, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8173, predictive_accuracy: 0.817, prior_entropy: 0.9998, recall: 0.817, relative_absolute_error: 0.5157, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7238, scimark_benchmark: 934.695, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.859, kappa: 0.7179, kb_relative_information_score: 564.9129, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.859, predictive_accuracy: 0.859, prior_entropy: 0.9998, recall: 0.859, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6324, scimark_benchmark: 917.5013, usercpu_time_millis: 440, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.875, kappa: 0.7499, kb_relative_information_score: 543.3728, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.875, predictive_accuracy: 0.875, prior_entropy: 0.9998, recall: 0.875, relative_absolute_error: 0.4972, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6301, scimark_benchmark: 936.9595, usercpu_time_millis: 7570, usercpu_time_millis_testing: 2780, usercpu_time_millis_training: 4790,

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