Task
Supervised Classification on pbcseq

Supervised Classification on pbcseq

Task 3667 Supervised Classification pbcseq 467 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7335, f_measure: 0.7123, kappa: 0.4252, kb_relative_information_score: 552.9025, mean_absolute_error: 0.3735, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.7134, predictive_accuracy: 0.7126, prior_entropy: 1, recall: 0.7126, relative_absolute_error: 0.747, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5662, f_measure: 0.454, kappa: 0.0064, kb_relative_information_score: 53.928, mean_absolute_error: 0.4889, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.505, predictive_accuracy: 0.5033, prior_entropy: 1, recall: 0.5033, relative_absolute_error: 0.9779, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5037, root_relative_squared_error: 1.0073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.4482, kappa: -0.0152, kb_relative_information_score: -57.1257, mean_absolute_error: 0.5154, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.4888, predictive_accuracy: 0.4925, prior_entropy: 1, recall: 0.4925, relative_absolute_error: 1.0308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6289, root_relative_squared_error: 1.2578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, f_measure: 0.7938, kappa: 0.5877, kb_relative_information_score: 764.8403, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.7938, predictive_accuracy: 0.7938, prior_entropy: 1, recall: 0.7938, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.7734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5527, f_measure: 0.4401, kappa: -0.0029, kb_relative_information_score: 73.7665, mean_absolute_error: 0.4829, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.4975, predictive_accuracy: 0.4987, prior_entropy: 1, recall: 0.4987, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.512, root_relative_squared_error: 1.0239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.6884, kappa: 0.3769, kb_relative_information_score: 675.0818, mean_absolute_error: 0.3307, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.6885, predictive_accuracy: 0.6884, prior_entropy: 1, recall: 0.6884, relative_absolute_error: 0.6614, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.6974, kappa: 0.3954, kb_relative_information_score: 526.4607, mean_absolute_error: 0.3779, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.6985, predictive_accuracy: 0.6977, prior_entropy: 1, recall: 0.6977, relative_absolute_error: 0.7559, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.656, kappa: 0.3121, kb_relative_information_score: 517.3434, mean_absolute_error: 0.3722, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.6561, predictive_accuracy: 0.656, prior_entropy: 1, recall: 0.656, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5188, root_relative_squared_error: 1.0375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7712, kappa: 0.5424, kb_relative_information_score: 981.6605, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.7713, predictive_accuracy: 0.7712, prior_entropy: 1, recall: 0.7712, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8524, kappa: 0.7049, kb_relative_information_score: 1312.8653, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.8528, predictive_accuracy: 0.8524, prior_entropy: 1, recall: 0.8524, relative_absolute_error: 0.3317, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.6774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.6729, kappa: 0.3613, kb_relative_information_score: 598.3382, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.6998, predictive_accuracy: 0.6807, prior_entropy: 1, recall: 0.6807, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4826, root_relative_squared_error: 0.9653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5493, f_measure: 0.4392, kappa: 0.0043, kb_relative_information_score: 53.549, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.5039, predictive_accuracy: 0.5023, prior_entropy: 1, recall: 0.5023, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5055, root_relative_squared_error: 1.0111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7789, f_measure: 0.7049, kappa: 0.4098, kb_relative_information_score: 606.2387, mean_absolute_error: 0.3528, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.7049, predictive_accuracy: 0.7049, prior_entropy: 1, recall: 0.7049, relative_absolute_error: 0.7055, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, f_measure: 0.6803, kappa: 0.3624, kb_relative_information_score: 685.2759, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.6833, predictive_accuracy: 0.6812, prior_entropy: 1, recall: 0.6812, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5161, root_relative_squared_error: 1.0322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7615, f_measure: 0.7023, kappa: 0.4046, kb_relative_information_score: 385.0914, mean_absolute_error: 0.4174, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.7023, predictive_accuracy: 0.7023, prior_entropy: 1, recall: 0.7023, relative_absolute_error: 0.8348, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, f_measure: 0.717, kappa: 0.4344, kb_relative_information_score: 396.0335, mean_absolute_error: 0.4131, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.7179, predictive_accuracy: 0.7172, prior_entropy: 1, recall: 0.7172, relative_absolute_error: 0.8261, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4489, root_relative_squared_error: 0.8979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.3336, kb_relative_information_score: -0.004, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.2503, predictive_accuracy: 0.5003, prior_entropy: 1, recall: 0.5003, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.7595, kappa: 0.5198, kb_relative_information_score: 860.8071, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.7618, predictive_accuracy: 0.7599, prior_entropy: 1, recall: 0.7599, relative_absolute_error: 0.5716, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5383, f_measure: 0.3401, kappa: -0.0247, kb_relative_information_score: 36.3531, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.3816, predictive_accuracy: 0.4879, prior_entropy: 1, recall: 0.4879, relative_absolute_error: 0.9851, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.7363, kappa: 0.4735, kb_relative_information_score: 731.1314, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.7384, predictive_accuracy: 0.7368, prior_entropy: 1, recall: 0.7368, relative_absolute_error: 0.6411, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6617, f_measure: 0.6608, kappa: 0.3234, kb_relative_information_score: 628.9995, mean_absolute_error: 0.3383, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.6634, predictive_accuracy: 0.6617, prior_entropy: 1, recall: 0.6617, relative_absolute_error: 0.6766, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5816, root_relative_squared_error: 1.1633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7036, f_measure: 0.682, kappa: 0.3645, kb_relative_information_score: 383.2474, mean_absolute_error: 0.4164, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.6829, predictive_accuracy: 0.6823, prior_entropy: 1, recall: 0.6823, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4624, root_relative_squared_error: 0.9248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7148, f_measure: 0.6819, kappa: 0.3645, kb_relative_information_score: 384.5438, mean_absolute_error: 0.4164, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.683, predictive_accuracy: 0.6823, prior_entropy: 1, recall: 0.6823, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7474, f_measure: 0.6787, kappa: 0.3696, kb_relative_information_score: 645.9366, mean_absolute_error: 0.3383, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.7001, predictive_accuracy: 0.6848, prior_entropy: 1, recall: 0.6848, relative_absolute_error: 0.6766, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.9939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, f_measure: 0.6547, kappa: 0.311, kb_relative_information_score: 537.9013, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.6569, predictive_accuracy: 0.6555, prior_entropy: 1, recall: 0.6555, relative_absolute_error: 0.7317, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5423, root_relative_squared_error: 1.0846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.6373, kappa: 0.2883, kb_relative_information_score: 437.118, mean_absolute_error: 0.3952, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.656, predictive_accuracy: 0.6442, prior_entropy: 1, recall: 0.6442, relative_absolute_error: 0.7905, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.488, root_relative_squared_error: 0.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6735, f_measure: 0.673, kappa: 0.347, kb_relative_information_score: 674.9995, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.6745, predictive_accuracy: 0.6735, prior_entropy: 1, recall: 0.6735, relative_absolute_error: 0.653, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5714, root_relative_squared_error: 1.1428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5692, f_measure: 0.5634, kappa: 0.1384, kb_relative_information_score: 268.9994, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.5731, predictive_accuracy: 0.5692, prior_entropy: 1, recall: 0.5692, relative_absolute_error: 0.8617, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6564, root_relative_squared_error: 1.3128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.6955, kappa: 0.3923, kb_relative_information_score: 387.3794, mean_absolute_error: 0.4135, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.6977, predictive_accuracy: 0.6961, prior_entropy: 1, recall: 0.6961, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.8994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8192, f_measure: 0.7358, kappa: 0.4735, kb_relative_information_score: 875.1062, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.74, predictive_accuracy: 0.7368, prior_entropy: 1, recall: 0.7368, relative_absolute_error: 0.5575, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.8983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7547, f_measure: 0.6756, kappa: 0.3655, kb_relative_information_score: 651.7382, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.7004, predictive_accuracy: 0.6828, prior_entropy: 1, recall: 0.6828, relative_absolute_error: 0.6738, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, f_measure: 0.6788, kappa: 0.3706, kb_relative_information_score: 661.6736, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.7018, predictive_accuracy: 0.6853, prior_entropy: 1, recall: 0.6853, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, f_measure: 0.48, kappa: 0.0017, kb_relative_information_score: 2.9993, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.501, predictive_accuracy: 0.5008, prior_entropy: 1, recall: 0.5008, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7066, root_relative_squared_error: 1.4131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, f_measure: 0.6692, kappa: 0.35, kb_relative_information_score: 680.9995, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.6883, predictive_accuracy: 0.6751, prior_entropy: 1, recall: 0.6751, relative_absolute_error: 0.6499, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.57, root_relative_squared_error: 1.1401, scimark_benchmark: 1631.1992, usercpu_time_millis: 56218.75, usercpu_time_millis_testing: 156.25, usercpu_time_millis_training: 56062.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.478, kappa: -0.0028, kb_relative_information_score: -5.0007, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.4984, predictive_accuracy: 0.4987, prior_entropy: 1, recall: 0.4987, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.708, root_relative_squared_error: 1.416, scimark_benchmark: 1697.6783, usercpu_time_millis: 1265.625, usercpu_time_millis_testing: 453.125, usercpu_time_millis_training: 812.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6254, f_measure: 0.5729, kappa: 0.2507, kb_relative_information_score: 486.9994, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.7457, predictive_accuracy: 0.6252, prior_entropy: 1, recall: 0.6252, relative_absolute_error: 0.7496, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6122, root_relative_squared_error: 1.2244, scimark_benchmark: 1862.8608, usercpu_time_millis: 2062.5, usercpu_time_millis_testing: 937.5, usercpu_time_millis_training: 1125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.478, kappa: -0.0028, kb_relative_information_score: -5.0007, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.4984, predictive_accuracy: 0.4987, prior_entropy: 1, recall: 0.4987, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.708, root_relative_squared_error: 1.416, scimark_benchmark: 1393.0216, usercpu_time_millis: 1230, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6254, f_measure: 0.5729, kappa: 0.2507, kb_relative_information_score: 486.9994, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.7457, predictive_accuracy: 0.6252, prior_entropy: 1, recall: 0.6252, relative_absolute_error: 0.7496, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6122, root_relative_squared_error: 1.2244, scimark_benchmark: 1668.532, usercpu_time_millis: 2820, usercpu_time_millis_testing: 1320, usercpu_time_millis_training: 1500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, f_measure: 0.6692, kappa: 0.35, kb_relative_information_score: 680.9995, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.6883, predictive_accuracy: 0.6751, prior_entropy: 1, recall: 0.6751, relative_absolute_error: 0.6499, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.57, root_relative_squared_error: 1.1401, scimark_benchmark: 1648.8355, usercpu_time_millis: 58860, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 58660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.478, kappa: -0.0028, kb_relative_information_score: -0.098, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.4984, predictive_accuracy: 0.4987, prior_entropy: 1, recall: 0.4987, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.507, root_relative_squared_error: 1.014, scimark_benchmark: 1908.2191, usercpu_time_millis: 336843.75, usercpu_time_millis_testing: 5078.125, usercpu_time_millis_training: 331765.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.333, kb_relative_information_score: -1.0007, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.2497, predictive_accuracy: 0.4997, prior_entropy: 1, recall: 0.4997, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7073, root_relative_squared_error: 1.4146, scimark_benchmark: 1908.2191, usercpu_time_millis: 468781.25, usercpu_time_millis_testing: 6562.5, usercpu_time_millis_training: 462218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6309, f_measure: 0.6304, kappa: 0.2617, kb_relative_information_score: 508.9995, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.6315, predictive_accuracy: 0.6308, prior_entropy: 1, recall: 0.6308, relative_absolute_error: 0.7383, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6076, root_relative_squared_error: 1.2152, scimark_benchmark: 1827.4462, usercpu_time_millis: 18859.375, usercpu_time_millis_testing: 156.25, usercpu_time_millis_training: 18703.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.333, kb_relative_information_score: -1.0007, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.2497, predictive_accuracy: 0.4997, prior_entropy: 1, recall: 0.4997, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7073, root_relative_squared_error: 1.4146, scimark_benchmark: 1760.5198, usercpu_time_millis: 53687.5, usercpu_time_millis_testing: 3796.875, usercpu_time_millis_training: 49890.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.333, kb_relative_information_score: -1.0007, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.2497, predictive_accuracy: 0.4997, prior_entropy: 1, recall: 0.4997, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7073, root_relative_squared_error: 1.4146, scimark_benchmark: 1837.4108, usercpu_time_millis: 50906.25, usercpu_time_millis_testing: 3796.875, usercpu_time_millis_training: 47109.375,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, f_measure: 0.6788, kappa: 0.3706, kb_relative_information_score: 661.6736, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.7018, predictive_accuracy: 0.6853, prior_entropy: 1, recall: 0.6853, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.991, scimark_benchmark: 1316.5987, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.478, kappa: -0.0028, kb_relative_information_score: -0.098, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.4984, predictive_accuracy: 0.4987, prior_entropy: 1, recall: 0.4987, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.507, root_relative_squared_error: 1.014, scimark_benchmark: 1389.2917, usercpu_time_millis: 46850, usercpu_time_millis_testing: 2650, usercpu_time_millis_training: 44200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6756, f_measure: 0.6753, kappa: 0.3511, kb_relative_information_score: 682.9995, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.6762, predictive_accuracy: 0.6756, prior_entropy: 1, recall: 0.6756, relative_absolute_error: 0.6488, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5696, root_relative_squared_error: 1.1392, scimark_benchmark: 1618.1738, usercpu_time_millis: 6640.625, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 6609.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6714, f_measure: 0.6705, kappa: 0.3429, kb_relative_information_score: 666.9995, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.6735, predictive_accuracy: 0.6715, prior_entropy: 1, recall: 0.6715, relative_absolute_error: 0.6571, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.1464, scimark_benchmark: 1618.1738, usercpu_time_millis: 2734.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 2718.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6527, f_measure: 0.6365, kappa: 0.2792, kb_relative_information_score: 469.9188, mean_absolute_error: 0.3846, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.6445, predictive_accuracy: 0.6396, prior_entropy: 1, recall: 0.6396, relative_absolute_error: 0.7692, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5349, root_relative_squared_error: 1.0698, scimark_benchmark: 1744.8652, usercpu_time_millis: 15046.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15031.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.7195, kappa: 0.4396, kb_relative_information_score: 854.2957, mean_absolute_error: 0.2805, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.7208, predictive_accuracy: 0.7198, prior_entropy: 1, recall: 0.7198, relative_absolute_error: 0.5609, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.529, root_relative_squared_error: 1.0581, scimark_benchmark: 1744.8652, usercpu_time_millis: 296.875, usercpu_time_millis_testing: 296.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7827, f_measure: 0.7136, kappa: 0.4273, kb_relative_information_score: 567.0194, mean_absolute_error: 0.3678, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.7136, predictive_accuracy: 0.7136, prior_entropy: 1, recall: 0.7136, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8733, scimark_benchmark: 1744.8652, usercpu_time_millis: 375, usercpu_time_millis_training: 375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, f_measure: 0.7057, kappa: 0.4118, kb_relative_information_score: 544.1346, mean_absolute_error: 0.3746, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.7064, predictive_accuracy: 0.7059, prior_entropy: 1, recall: 0.7059, relative_absolute_error: 0.7493, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4545, root_relative_squared_error: 0.909, scimark_benchmark: 1744.8652, usercpu_time_millis: 265.625, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5553, f_measure: 0.4691, kappa: 0.0249, kb_relative_information_score: 135.2053, mean_absolute_error: 0.4679, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.5185, predictive_accuracy: 0.5126, prior_entropy: 1, recall: 0.5126, relative_absolute_error: 0.9358, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5529, root_relative_squared_error: 1.1059, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7489, f_measure: 0.6863, kappa: 0.3738, kb_relative_information_score: 376.4163, mean_absolute_error: 0.4156, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.6882, predictive_accuracy: 0.6869, prior_entropy: 1, recall: 0.6869, relative_absolute_error: 0.8312, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9055, scimark_benchmark: 1744.8652, usercpu_time_millis: 640.625, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 578.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5527, f_measure: 0.4401, kappa: -0.0029, kb_relative_information_score: 73.7665, mean_absolute_error: 0.4829, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.4975, predictive_accuracy: 0.4987, prior_entropy: 1, recall: 0.4987, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.512, root_relative_squared_error: 1.0239, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7145, f_measure: 0.6819, kappa: 0.3645, kb_relative_information_score: 384.3164, mean_absolute_error: 0.4164, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.683, predictive_accuracy: 0.6823, prior_entropy: 1, recall: 0.6823, relative_absolute_error: 0.8328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9217, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, f_measure: 0.6788, kappa: 0.3706, kb_relative_information_score: 661.6736, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.7018, predictive_accuracy: 0.6853, prior_entropy: 1, recall: 0.6853, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.991, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, f_measure: 0.6748, kappa: 0.3501, kb_relative_information_score: 680.9995, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.6757, predictive_accuracy: 0.6751, prior_entropy: 1, recall: 0.6751, relative_absolute_error: 0.6499, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.57, root_relative_squared_error: 1.1401, scimark_benchmark: 1744.8652, usercpu_time_millis: 5968.75, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 5921.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6714, f_measure: 0.6705, kappa: 0.3429, kb_relative_information_score: 666.9995, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.6735, predictive_accuracy: 0.6715, prior_entropy: 1, recall: 0.6715, relative_absolute_error: 0.6571, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.1464, scimark_benchmark: 1744.8652, usercpu_time_millis: 2671.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 2640.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.478, kappa: -0.0028, kb_relative_information_score: -0.098, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.4984, predictive_accuracy: 0.4987, prior_entropy: 1, recall: 0.4987, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5059, root_relative_squared_error: 1.0118, scimark_benchmark: 1744.8652, usercpu_time_millis: 33140.625, usercpu_time_millis_testing: 3671.875, usercpu_time_millis_training: 29468.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.6347, kappa: 0.2762, kb_relative_information_score: 471.2782, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.6434, predictive_accuracy: 0.638, prior_entropy: 1, recall: 0.638, relative_absolute_error: 0.7681, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5352, root_relative_squared_error: 1.0705, scimark_benchmark: 1744.8652, usercpu_time_millis: 15437.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15421.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.7195, kappa: 0.4396, kb_relative_information_score: 854.2957, mean_absolute_error: 0.2805, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.7208, predictive_accuracy: 0.7198, prior_entropy: 1, recall: 0.7198, relative_absolute_error: 0.5609, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.529, root_relative_squared_error: 1.0581, scimark_benchmark: 1744.8652, usercpu_time_millis: 312.5, usercpu_time_millis_testing: 312.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7827, f_measure: 0.7136, kappa: 0.4273, kb_relative_information_score: 567.0194, mean_absolute_error: 0.3678, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.7136, predictive_accuracy: 0.7136, prior_entropy: 1, recall: 0.7136, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8733, scimark_benchmark: 1744.8652, usercpu_time_millis: 359.375, usercpu_time_millis_training: 359.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.7148, kappa: 0.4303, kb_relative_information_score: 558.607, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.7163, predictive_accuracy: 0.7152, prior_entropy: 1, recall: 0.7152, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4511, root_relative_squared_error: 0.9022, scimark_benchmark: 1744.8652, usercpu_time_millis: 187.5, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5543, f_measure: 0.468, kappa: 0.0218, kb_relative_information_score: 130.8881, mean_absolute_error: 0.4689, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.5161, predictive_accuracy: 0.5111, prior_entropy: 1, recall: 0.5111, relative_absolute_error: 0.9379, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5532, root_relative_squared_error: 1.1065, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7487, f_measure: 0.6858, kappa: 0.3727, kb_relative_information_score: 375.8001, mean_absolute_error: 0.4157, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.6878, predictive_accuracy: 0.6864, prior_entropy: 1, recall: 0.6864, relative_absolute_error: 0.8314, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9055, scimark_benchmark: 1744.8652, usercpu_time_millis: 906.25, usercpu_time_millis_testing: 109.375, usercpu_time_millis_training: 796.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5527, f_measure: 0.4401, kappa: -0.0029, kb_relative_information_score: 73.7665, mean_absolute_error: 0.4829, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.4975, predictive_accuracy: 0.4987, prior_entropy: 1, recall: 0.4987, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.512, root_relative_squared_error: 1.0239, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7145, f_measure: 0.6819, kappa: 0.3645, kb_relative_information_score: 384.3164, mean_absolute_error: 0.4164, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.683, predictive_accuracy: 0.6823, prior_entropy: 1, recall: 0.6823, relative_absolute_error: 0.8328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9217, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.6335, kappa: 0.2741, kb_relative_information_score: 470.0306, mean_absolute_error: 0.3843, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.6425, predictive_accuracy: 0.637, prior_entropy: 1, recall: 0.637, relative_absolute_error: 0.7687, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5355, root_relative_squared_error: 1.071, scimark_benchmark: 1327.5254, usercpu_time_millis: 17421.875, usercpu_time_millis_training: 17421.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7827, f_measure: 0.7136, kappa: 0.4273, kb_relative_information_score: 567.0194, mean_absolute_error: 0.3678, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.7136, predictive_accuracy: 0.7136, prior_entropy: 1, recall: 0.7136, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8733, scimark_benchmark: 1788.6668, usercpu_time_millis: 359.375, usercpu_time_millis_training: 359.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.478, kappa: -0.0028, kb_relative_information_score: -0.0979, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.4984, predictive_accuracy: 0.4987, prior_entropy: 1, recall: 0.4987, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.507, root_relative_squared_error: 1.014, scimark_benchmark: 1788.6668, usercpu_time_millis: 34468.75, usercpu_time_millis_testing: 4531.25, usercpu_time_millis_training: 29937.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.7116, kappa: 0.4231, kb_relative_information_score: 551.5659, mean_absolute_error: 0.3722, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.7116, predictive_accuracy: 0.7116, prior_entropy: 1, recall: 0.7116, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.437, root_relative_squared_error: 0.874, scimark_benchmark: 1788.6668, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.6935, kappa: 0.3871, kb_relative_information_score: 445.5683, mean_absolute_error: 0.4006, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.6937, predictive_accuracy: 0.6936, prior_entropy: 1, recall: 0.6936, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4628, root_relative_squared_error: 0.9256, scimark_benchmark: 1788.6668, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.507, f_measure: 0.478, kappa: -0.0028, kb_relative_information_score: -0.2183, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.4984, predictive_accuracy: 0.4987, prior_entropy: 1, recall: 0.4987, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5061, root_relative_squared_error: 1.0123, scimark_benchmark: 1788.6668, usercpu_time_millis: 32015.625, usercpu_time_millis_testing: 3593.75, usercpu_time_millis_training: 28421.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, f_measure: 0.6421, kappa: 0.2843, kb_relative_information_score: 444.9301, mean_absolute_error: 0.3922, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.6422, predictive_accuracy: 0.6422, prior_entropy: 1, recall: 0.6422, relative_absolute_error: 0.7844, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5278, root_relative_squared_error: 1.0555, scimark_benchmark: 1788.6668, usercpu_time_millis: 11984.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 11968.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.673, f_measure: 0.6726, kappa: 0.346, kb_relative_information_score: 672.9995, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.6739, predictive_accuracy: 0.673, prior_entropy: 1, recall: 0.673, relative_absolute_error: 0.654, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5718, root_relative_squared_error: 1.1437, scimark_benchmark: 1788.6668, usercpu_time_millis: 3546.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 3515.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6756, f_measure: 0.6753, kappa: 0.3511, kb_relative_information_score: 682.9995, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.6762, predictive_accuracy: 0.6756, prior_entropy: 1, recall: 0.6756, relative_absolute_error: 0.6488, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5696, root_relative_squared_error: 1.1392, scimark_benchmark: 1290.7224, usercpu_time_millis: 3520, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.6335, kappa: 0.2741, kb_relative_information_score: 470.0306, mean_absolute_error: 0.3843, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.6425, predictive_accuracy: 0.637, prior_entropy: 1, recall: 0.637, relative_absolute_error: 0.7687, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5355, root_relative_squared_error: 1.071, scimark_benchmark: 1136.4112, usercpu_time_millis: 25210, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 25180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7335, f_measure: 0.7123, kappa: 0.4252, kb_relative_information_score: 552.9025, mean_absolute_error: 0.3735, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.7134, predictive_accuracy: 0.7126, prior_entropy: 1, recall: 0.7126, relative_absolute_error: 0.747, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9107, scimark_benchmark: 1093.0748, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.7186, kappa: 0.4426, kb_relative_information_score: 627.3172, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.7301, predictive_accuracy: 0.7213, prior_entropy: 1, recall: 0.7213, relative_absolute_error: 0.7001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.8596, scimark_benchmark: 1447.2612, usercpu_time_millis: 328.125, usercpu_time_millis_testing: 312.5, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.6723, kappa: 0.3716, kb_relative_information_score: 745.6922, mean_absolute_error: 0.3083, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.7225, predictive_accuracy: 0.6859, prior_entropy: 1, recall: 0.6859, relative_absolute_error: 0.6167, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9459, scimark_benchmark: 1840.6094, usercpu_time_millis: 234.375, usercpu_time_millis_testing: 218.75, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7605, f_measure: 0.6777, kappa: 0.3767, kb_relative_information_score: 774.6803, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.7172, predictive_accuracy: 0.6884, prior_entropy: 1, recall: 0.6884, relative_absolute_error: 0.6018, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9457, scimark_benchmark: 1840.6094, usercpu_time_millis: 343.75, usercpu_time_millis_testing: 343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7538, f_measure: 0.6839, kappa: 0.3696, kb_relative_information_score: 507.4678, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.687, predictive_accuracy: 0.6848, prior_entropy: 1, recall: 0.6848, relative_absolute_error: 0.7581, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.8999, scimark_benchmark: 1873.1108, usercpu_time_millis: 593.75, usercpu_time_millis_testing: 593.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8028, f_measure: 0.731, kappa: 0.4632, kb_relative_information_score: 708.4161, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.7337, predictive_accuracy: 0.7316, prior_entropy: 1, recall: 0.7316, relative_absolute_error: 0.6528, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.8589, scimark_benchmark: 1873.1108, usercpu_time_millis: 250, usercpu_time_millis_testing: 234.375, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7755, f_measure: 0.712, kappa: 0.4242, kb_relative_information_score: 643.4076, mean_absolute_error: 0.3421, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.7123, predictive_accuracy: 0.7121, prior_entropy: 1, recall: 0.7121, relative_absolute_error: 0.6843, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.8898, scimark_benchmark: 1873.1108, usercpu_time_millis: 437.5, usercpu_time_millis_testing: 437.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6678, f_measure: 0.6672, kappa: 0.3357, kb_relative_information_score: 652.9995, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.6692, predictive_accuracy: 0.6679, prior_entropy: 1, recall: 0.6679, relative_absolute_error: 0.6643, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5763, root_relative_squared_error: 1.1526, scimark_benchmark: 1779.392, usercpu_time_millis: 3276.021, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 3260.4209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6714, f_measure: 0.6705, kappa: 0.3429, kb_relative_information_score: 666.9995, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.6735, predictive_accuracy: 0.6715, prior_entropy: 1, recall: 0.6715, relative_absolute_error: 0.6571, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.1464, scimark_benchmark: 1779.392, usercpu_time_millis: 3057.6196, usercpu_time_millis_testing: 31.2002, usercpu_time_millis_training: 3026.4194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5576, f_measure: 0.4745, kappa: 0.0311, kb_relative_information_score: 143.5856, mean_absolute_error: 0.466, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.5226, predictive_accuracy: 0.5157, prior_entropy: 1, recall: 0.5157, relative_absolute_error: 0.9319, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5513, root_relative_squared_error: 1.1026, scimark_benchmark: 1779.392, usercpu_time_millis: 46.8003, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.554, f_measure: 0.4683, kappa: 0.0218, kb_relative_information_score: 132.1483, mean_absolute_error: 0.4686, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.5161, predictive_accuracy: 0.5111, prior_entropy: 1, recall: 0.5111, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5532, root_relative_squared_error: 1.1064, scimark_benchmark: 1779.392, usercpu_time_millis: 62.4004, usercpu_time_millis_training: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5588, f_measure: 0.4445, kappa: -0.0008, kb_relative_information_score: 83.9354, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.4993, predictive_accuracy: 0.4997, prior_entropy: 1, recall: 0.4997, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5088, root_relative_squared_error: 1.0176, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5527, f_measure: 0.4401, kappa: -0.0029, kb_relative_information_score: 73.7665, mean_absolute_error: 0.4829, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.4975, predictive_accuracy: 0.4987, prior_entropy: 1, recall: 0.4987, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.512, root_relative_squared_error: 1.0239, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7073, f_measure: 0.678, kappa: 0.3563, kb_relative_information_score: 360.3245, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.6784, predictive_accuracy: 0.6781, prior_entropy: 1, recall: 0.6781, relative_absolute_error: 0.8443, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.9209, scimark_benchmark: 1838.8826, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7148, f_measure: 0.6819, kappa: 0.3645, kb_relative_information_score: 384.5438, mean_absolute_error: 0.4164, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.683, predictive_accuracy: 0.6823, prior_entropy: 1, recall: 0.6823, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9215, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.685, f_measure: 0.6365, kappa: 0.275, kb_relative_information_score: 288.7569, mean_absolute_error: 0.4341, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.6391, predictive_accuracy: 0.6375, prior_entropy: 1, recall: 0.6375, relative_absolute_error: 0.8682, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4776, root_relative_squared_error: 0.9552, scimark_benchmark: 1838.8826, usercpu_time_millis: 624.004, usercpu_time_millis_testing: 46.8003, usercpu_time_millis_training: 577.2037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.6955, kappa: 0.3923, kb_relative_information_score: 387.3794, mean_absolute_error: 0.4135, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.6977, predictive_accuracy: 0.6961, prior_entropy: 1, recall: 0.6961, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.8994, scimark_benchmark: 1838.8826, usercpu_time_millis: 639.6041, usercpu_time_millis_testing: 46.8003, usercpu_time_millis_training: 592.8038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.706, f_measure: 0.7077, kappa: 0.4159, kb_relative_information_score: 808.3335, mean_absolute_error: 0.2923, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.7088, predictive_accuracy: 0.708, prior_entropy: 1, recall: 0.708, relative_absolute_error: 0.5845, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5401, root_relative_squared_error: 1.0802, scimark_benchmark: 1838.8826, usercpu_time_millis: 187.2012, usercpu_time_millis_testing: 187.2012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.7195, kappa: 0.4396, kb_relative_information_score: 854.2957, mean_absolute_error: 0.2805, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.7208, predictive_accuracy: 0.7198, prior_entropy: 1, recall: 0.7198, relative_absolute_error: 0.5609, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.529, root_relative_squared_error: 1.0581, scimark_benchmark: 1838.8826, usercpu_time_millis: 312.002, usercpu_time_millis_testing: 312.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.6699, kappa: 0.3552, kb_relative_information_score: 596.1911, mean_absolute_error: 0.3528, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.6959, predictive_accuracy: 0.6776, prior_entropy: 1, recall: 0.6776, relative_absolute_error: 0.7056, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.9663, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, f_measure: 0.6788, kappa: 0.3706, kb_relative_information_score: 661.6736, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.5, number_of_instances: 1945, precision: 0.7018, predictive_accuracy: 0.6853, prior_entropy: 1, recall: 0.6853, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.991, scimark_benchmark: 1838.8826,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs