OpenML
Supervised Classification on chscase_geyser1

Supervised Classification on chscase_geyser1

Task 3758 Supervised Classification chscase_geyser1 937 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: 0.7405, f_measure: 0.745, kappa: 0.4727, kb_relative_information_score: 100.6144, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.7493, predictive_accuracy: 0.7432, prior_entropy: 0.9694, recall: 0.7432, relative_absolute_error: 0.5363, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.5067, root_relative_squared_error: 1.0359, usercpu_time_millis: 1.696, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 1.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.8903, kappa: 0.7687, kb_relative_information_score: 170.8166, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8943, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.2258, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6722, usercpu_time_millis: 0.071, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4544, kb_relative_information_score: 34.6669, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.3643, predictive_accuracy: 0.6036, prior_entropy: 0.9694, recall: 0.6036, relative_absolute_error: 0.828, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.6296, root_relative_squared_error: 1.2871, usercpu_time_millis: 0.041, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 0.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4544, kb_relative_information_score: 34.6669, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.3643, predictive_accuracy: 0.6036, prior_entropy: 0.9694, recall: 0.6036, relative_absolute_error: 0.828, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.6296, root_relative_squared_error: 1.2871, usercpu_time_millis: 0.083, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 0.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.9079, kappa: 0.8057, kb_relative_information_score: 179.3259, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9166, predictive_accuracy: 0.9099, prior_entropy: 0.9694, recall: 0.9099, relative_absolute_error: 0.1882, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3002, root_relative_squared_error: 0.6136, usercpu_time_millis: 0.071, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 0.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.8702, kappa: 0.7257, kb_relative_information_score: 162.3072, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8826, predictive_accuracy: 0.8739, prior_entropy: 0.9694, recall: 0.8739, relative_absolute_error: 0.2635, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.726, usercpu_time_millis: 0.712, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 0.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.8895, kappa: 0.7668, kb_relative_information_score: 170.8166, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8975, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.2258, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6722, usercpu_time_millis: 0.907, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.8939, kappa: 0.7761, kb_relative_information_score: 172.9439, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9033, predictive_accuracy: 0.8964, prior_entropy: 0.9694, recall: 0.8964, relative_absolute_error: 0.2164, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.8891, kappa: 0.7659, kb_relative_information_score: 170.8166, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8996, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.2258, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6722, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.9032, kappa: 0.7955, kb_relative_information_score: 177.1986, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9129, predictive_accuracy: 0.9054, prior_entropy: 0.9694, recall: 0.9054, relative_absolute_error: 0.1976, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.6288, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.8847, kappa: 0.7566, kb_relative_information_score: 143.2379, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8937, predictive_accuracy: 0.8874, prior_entropy: 0.9694, recall: 0.8874, relative_absolute_error: 0.3794, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.6532, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.875, kappa: 0.7361, kb_relative_information_score: 139.1745, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8863, predictive_accuracy: 0.8784, prior_entropy: 0.9694, recall: 0.8784, relative_absolute_error: 0.3989, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.6757, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.7948, kappa: 0.5801, kb_relative_information_score: 66.4622, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8051, predictive_accuracy: 0.7928, prior_entropy: 0.9694, recall: 0.7928, relative_absolute_error: 0.7155, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.8612, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.7948, kappa: 0.5801, kb_relative_information_score: 66.4622, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8051, predictive_accuracy: 0.7928, prior_entropy: 0.9694, recall: 0.7928, relative_absolute_error: 0.7155, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.8612, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.8987, kappa: 0.7862, kb_relative_information_score: 175.0712, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.907, predictive_accuracy: 0.9009, prior_entropy: 0.9694, recall: 0.9009, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8903, kappa: 0.7687, kb_relative_information_score: 158.8241, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8943, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.2925, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3045, root_relative_squared_error: 0.6225, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8903, kappa: 0.7687, kb_relative_information_score: 158.9991, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8943, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.292, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.6227, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.8462, kappa: 0.6774, kb_relative_information_score: 149.5432, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8461, predictive_accuracy: 0.8468, prior_entropy: 0.9694, recall: 0.8468, relative_absolute_error: 0.3199, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.8001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.8899, kappa: 0.7677, kb_relative_information_score: 170.8166, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8957, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.2258, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.8415, kappa: 0.6673, kb_relative_information_score: 147.4158, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8415, predictive_accuracy: 0.8423, prior_entropy: 0.9694, recall: 0.8423, relative_absolute_error: 0.3293, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.8702, kappa: 0.7257, kb_relative_information_score: 137.0378, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8826, predictive_accuracy: 0.8739, prior_entropy: 0.9694, recall: 0.8739, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6772, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.8702, kappa: 0.7257, kb_relative_information_score: 137.0378, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8826, predictive_accuracy: 0.8739, prior_entropy: 0.9694, recall: 0.8739, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6772, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8755, kappa: 0.7371, kb_relative_information_score: 146.4165, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8841, predictive_accuracy: 0.8784, prior_entropy: 0.9694, recall: 0.8784, relative_absolute_error: 0.3496, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.6466, 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: 0.8902, f_measure: 0.8454, kappa: 0.6749, kb_relative_information_score: 136.2286, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8463, predictive_accuracy: 0.8468, prior_entropy: 0.9694, recall: 0.8468, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.7256, scimark_benchmark: 1806.5905, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8632, kappa: 0.712, kb_relative_information_score: 141.5355, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8653, predictive_accuracy: 0.8649, prior_entropy: 0.9694, recall: 0.8649, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6864, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.8068, kappa: 0.5976, kb_relative_information_score: 129.6118, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8077, predictive_accuracy: 0.8063, prior_entropy: 0.9694, recall: 0.8063, relative_absolute_error: 0.4132, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8551, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8903, kappa: 0.7687, kb_relative_information_score: 158.8241, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8943, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.2925, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3045, root_relative_squared_error: 0.6225, scimark_benchmark: 1877.5305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8903, kappa: 0.7687, kb_relative_information_score: 158.9991, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8943, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.292, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.6227, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4819, f_measure: 0.4544, kb_relative_information_score: -0.114, mean_absolute_error: 0.4788, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.3643, predictive_accuracy: 0.6036, prior_entropy: 0.9694, recall: 0.6036, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.4892, root_relative_squared_error: 1.0002, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.8418, kappa: 0.6686, kb_relative_information_score: 147.4158, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8417, predictive_accuracy: 0.8423, prior_entropy: 0.9694, recall: 0.8423, relative_absolute_error: 0.3293, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8117, usercpu_time_millis: 283.796, usercpu_time_millis_testing: 1.715, usercpu_time_millis_training: 282.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.8851, kappa: 0.7576, kb_relative_information_score: 168.6892, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8918, predictive_accuracy: 0.8874, prior_entropy: 0.9694, recall: 0.8874, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.686, usercpu_time_millis: 4.694, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 4.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.8468, kappa: 0.68, kb_relative_information_score: 149.5432, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8468, predictive_accuracy: 0.8468, prior_entropy: 0.9694, recall: 0.8468, relative_absolute_error: 0.3199, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.8001, usercpu_time_millis: 0.331, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4544, kb_relative_information_score: 34.6669, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.3643, predictive_accuracy: 0.6036, prior_entropy: 0.9694, recall: 0.6036, relative_absolute_error: 0.828, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.6296, root_relative_squared_error: 1.2871, usercpu_time_millis: 0.121, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.8936, kappa: 0.7752, kb_relative_information_score: 172.9439, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9057, predictive_accuracy: 0.8964, prior_entropy: 0.9694, recall: 0.8964, relative_absolute_error: 0.2164, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.658, usercpu_time_millis: 0.083, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.8943, kappa: 0.777, kb_relative_information_score: 172.9439, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9013, predictive_accuracy: 0.8964, prior_entropy: 0.9694, recall: 0.8964, relative_absolute_error: 0.2164, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.658, usercpu_time_millis: 16.468, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 16.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4544, kb_relative_information_score: 34.6669, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.3643, predictive_accuracy: 0.6036, prior_entropy: 0.9694, recall: 0.6036, relative_absolute_error: 0.828, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.6296, root_relative_squared_error: 1.2871, usercpu_time_millis: 0.635, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.8991, kappa: 0.7871, kb_relative_information_score: 175.0712, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9052, predictive_accuracy: 0.9009, prior_entropy: 0.9694, recall: 0.9009, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6436, usercpu_time_millis: 0.419, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.8676, kappa: 0.721, kb_relative_information_score: 160.1799, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8704, predictive_accuracy: 0.8694, prior_entropy: 0.9694, recall: 0.8694, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.7389, usercpu_time_millis: 1.775, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 1.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.8991, kappa: 0.7871, kb_relative_information_score: 175.0712, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9052, predictive_accuracy: 0.9009, prior_entropy: 0.9694, recall: 0.9009, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6436, usercpu_time_millis: 0.114, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.8589, kappa: 0.703, kb_relative_information_score: 155.9252, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8604, predictive_accuracy: 0.8604, prior_entropy: 0.9694, recall: 0.8604, relative_absolute_error: 0.2917, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7639, usercpu_time_millis: 0.603, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 0.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.8799, kappa: 0.7464, kb_relative_information_score: 166.5619, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.89, predictive_accuracy: 0.8829, prior_entropy: 0.9694, recall: 0.8829, relative_absolute_error: 0.2446, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6996, usercpu_time_millis: 0.13, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.8702, kappa: 0.7257, kb_relative_information_score: 162.3072, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8826, predictive_accuracy: 0.8739, prior_entropy: 0.9694, recall: 0.8739, relative_absolute_error: 0.2635, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.726, usercpu_time_millis: 1.058, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 0.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.8991, kappa: 0.7871, kb_relative_information_score: 175.0712, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9052, predictive_accuracy: 0.9009, prior_entropy: 0.9694, recall: 0.9009, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6436, usercpu_time_millis: 0.056, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.8755, kappa: 0.7371, kb_relative_information_score: 164.4345, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8841, predictive_accuracy: 0.8784, prior_entropy: 0.9694, recall: 0.8784, relative_absolute_error: 0.2541, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.713, usercpu_time_millis: 0.704, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 0.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.8895, kappa: 0.7668, kb_relative_information_score: 170.8166, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8975, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.2258, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6722, usercpu_time_millis: 27.542, usercpu_time_millis_testing: 1.656, usercpu_time_millis_training: 25.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.8763, kappa: 0.7392, kb_relative_information_score: 164.4345, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8809, predictive_accuracy: 0.8784, prior_entropy: 0.9694, recall: 0.8784, relative_absolute_error: 0.2541, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.713, usercpu_time_millis: 0.064, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.875, kappa: 0.7361, kb_relative_information_score: 164.4345, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8863, predictive_accuracy: 0.8784, prior_entropy: 0.9694, recall: 0.8784, relative_absolute_error: 0.2541, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.713, usercpu_time_millis: 1.487, usercpu_time_millis_testing: 0.545, usercpu_time_millis_training: 0.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.8847, kappa: 0.7566, kb_relative_information_score: 168.6892, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8937, predictive_accuracy: 0.8874, prior_entropy: 0.9694, recall: 0.8874, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.686, usercpu_time_millis: 0.226, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.9079, kappa: 0.8057, kb_relative_information_score: 179.3259, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9166, predictive_accuracy: 0.9099, prior_entropy: 0.9694, recall: 0.9099, relative_absolute_error: 0.1882, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3002, root_relative_squared_error: 0.6136, usercpu_time_millis: 0.09, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.8984, kappa: 0.7854, kb_relative_information_score: 175.0712, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9093, predictive_accuracy: 0.9009, prior_entropy: 0.9694, recall: 0.9009, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6436, usercpu_time_millis: 0.112, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.8984, kappa: 0.7854, kb_relative_information_score: 175.0712, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9093, predictive_accuracy: 0.9009, prior_entropy: 0.9694, recall: 0.9009, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6436, usercpu_time_millis: 0.039, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.9032, kappa: 0.7955, kb_relative_information_score: 177.1986, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9129, predictive_accuracy: 0.9054, prior_entropy: 0.9694, recall: 0.9054, relative_absolute_error: 0.1976, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.6288, usercpu_time_millis: 0.036, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 0.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.8991, kappa: 0.7871, kb_relative_information_score: 175.0712, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9052, predictive_accuracy: 0.9009, prior_entropy: 0.9694, recall: 0.9009, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6436, usercpu_time_millis: 0.101, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.8799, kappa: 0.7464, kb_relative_information_score: 166.5619, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.89, predictive_accuracy: 0.8829, prior_entropy: 0.9694, recall: 0.8829, relative_absolute_error: 0.2446, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6996, usercpu_time_millis: 9.574, usercpu_time_millis_testing: 0.566, usercpu_time_millis_training: 9.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.8068, kappa: 0.5976, kb_relative_information_score: 130.3971, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8077, predictive_accuracy: 0.8063, prior_entropy: 0.9694, recall: 0.8063, relative_absolute_error: 0.4046, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.8997, usercpu_time_millis: 0.844, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 0.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.8991, kappa: 0.7871, kb_relative_information_score: 175.0712, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9052, predictive_accuracy: 0.9009, prior_entropy: 0.9694, recall: 0.9009, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6436, usercpu_time_millis: 0.445, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.8991, kappa: 0.7871, kb_relative_information_score: 175.0712, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9052, predictive_accuracy: 0.9009, prior_entropy: 0.9694, recall: 0.9009, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6436, usercpu_time_millis: 0.3, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 0.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.8375, kappa: 0.6598, kb_relative_information_score: 145.2885, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8373, predictive_accuracy: 0.8378, prior_entropy: 0.9694, recall: 0.8378, relative_absolute_error: 0.3387, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8233, usercpu_time_millis: 0.566, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 0.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.8767, kappa: 0.7403, kb_relative_information_score: 164.4345, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8797, predictive_accuracy: 0.8784, prior_entropy: 0.9694, recall: 0.8784, relative_absolute_error: 0.2541, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.713, usercpu_time_millis: 0.406, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4544, kb_relative_information_score: 34.6669, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.3643, predictive_accuracy: 0.6036, prior_entropy: 0.9694, recall: 0.6036, relative_absolute_error: 0.828, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.6296, root_relative_squared_error: 1.2871, usercpu_time_millis: 0.151, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.8799, kappa: 0.7464, kb_relative_information_score: 166.5619, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.89, predictive_accuracy: 0.8829, prior_entropy: 0.9694, recall: 0.8829, relative_absolute_error: 0.2446, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6996, usercpu_time_millis: 0.172, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.148,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.8763, kappa: 0.7392, kb_relative_information_score: 164.4345, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8809, predictive_accuracy: 0.8784, prior_entropy: 0.9694, recall: 0.8784, relative_absolute_error: 0.2541, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.713, usercpu_time_millis: 6.976, usercpu_time_millis_testing: 1.039, usercpu_time_millis_training: 5.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.8763, kappa: 0.7392, kb_relative_information_score: 164.4345, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8809, predictive_accuracy: 0.8784, prior_entropy: 0.9694, recall: 0.8784, relative_absolute_error: 0.2541, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.713, usercpu_time_millis: 5.266, usercpu_time_millis_testing: 0.727, usercpu_time_millis_training: 4.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.4544, kb_relative_information_score: -1.1902, mean_absolute_error: 0.4801, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.3643, predictive_accuracy: 0.6036, prior_entropy: 0.9694, recall: 0.6036, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.4894, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8799, kappa: 0.7464, kb_relative_information_score: 146.5732, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.89, predictive_accuracy: 0.8829, prior_entropy: 0.9694, recall: 0.8829, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.6241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8799, kappa: 0.7464, kb_relative_information_score: 146.5732, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.89, predictive_accuracy: 0.8829, prior_entropy: 0.9694, recall: 0.8829, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.6241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8799, kappa: 0.7464, kb_relative_information_score: 150.8212, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.89, predictive_accuracy: 0.8829, prior_entropy: 0.9694, recall: 0.8829, relative_absolute_error: 0.3355, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.6166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8418, kappa: 0.6686, kb_relative_information_score: 90.7995, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8417, predictive_accuracy: 0.8423, prior_entropy: 0.9694, recall: 0.8423, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8418, kappa: 0.6686, kb_relative_information_score: 90.7995, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8417, predictive_accuracy: 0.8423, prior_entropy: 0.9694, recall: 0.8423, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.4544, kb_relative_information_score: -1.1902, mean_absolute_error: 0.4801, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.3643, predictive_accuracy: 0.6036, prior_entropy: 0.9694, recall: 0.6036, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.4894, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.4544, kb_relative_information_score: -1.1902, mean_absolute_error: 0.4801, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.3643, predictive_accuracy: 0.6036, prior_entropy: 0.9694, recall: 0.6036, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.4894, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8991, kappa: 0.7871, kb_relative_information_score: 150.4825, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9052, predictive_accuracy: 0.9009, prior_entropy: 0.9694, recall: 0.9009, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.291, root_relative_squared_error: 0.5949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8991, kappa: 0.7871, kb_relative_information_score: 150.4825, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9052, predictive_accuracy: 0.9009, prior_entropy: 0.9694, recall: 0.9009, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.291, root_relative_squared_error: 0.5949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8895, kappa: 0.7668, kb_relative_information_score: 149.0446, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8975, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.6084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8895, kappa: 0.7668, kb_relative_information_score: 149.0446, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8975, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.6084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.8763, kappa: 0.7392, kb_relative_information_score: 145.9041, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8809, predictive_accuracy: 0.8784, prior_entropy: 0.9694, recall: 0.8784, relative_absolute_error: 0.3592, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.6386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.8763, kappa: 0.7392, kb_relative_information_score: 145.9041, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8809, predictive_accuracy: 0.8784, prior_entropy: 0.9694, recall: 0.8784, relative_absolute_error: 0.3592, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.6386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.8763, kappa: 0.7392, kb_relative_information_score: 145.9041, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8809, predictive_accuracy: 0.8784, prior_entropy: 0.9694, recall: 0.8784, relative_absolute_error: 0.3592, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.6386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.8763, kappa: 0.7392, kb_relative_information_score: 145.9041, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8809, predictive_accuracy: 0.8784, prior_entropy: 0.9694, recall: 0.8784, relative_absolute_error: 0.3592, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.6386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8799, kappa: 0.7464, kb_relative_information_score: 150.8212, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.89, predictive_accuracy: 0.8829, prior_entropy: 0.9694, recall: 0.8829, relative_absolute_error: 0.3355, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.6166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8799, kappa: 0.7464, kb_relative_information_score: 150.8212, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.89, predictive_accuracy: 0.8829, prior_entropy: 0.9694, recall: 0.8829, relative_absolute_error: 0.3355, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.6166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8799, kappa: 0.7464, kb_relative_information_score: 150.8212, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.89, predictive_accuracy: 0.8829, prior_entropy: 0.9694, recall: 0.8829, relative_absolute_error: 0.3355, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.6166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8418, kappa: 0.6686, kb_relative_information_score: 90.7995, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8417, predictive_accuracy: 0.8423, prior_entropy: 0.9694, recall: 0.8423, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8991, kappa: 0.7871, kb_relative_information_score: 150.4825, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9052, predictive_accuracy: 0.9009, prior_entropy: 0.9694, recall: 0.9009, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.291, root_relative_squared_error: 0.5949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.4544, kb_relative_information_score: -1.1902, mean_absolute_error: 0.4801, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.3643, predictive_accuracy: 0.6036, prior_entropy: 0.9694, recall: 0.6036, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.4894, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8895, kappa: 0.7668, kb_relative_information_score: 149.0446, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8975, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.6084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.4544, kb_relative_information_score: -1.1902, mean_absolute_error: 0.4801, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.3643, predictive_accuracy: 0.6036, prior_entropy: 0.9694, recall: 0.6036, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.4894, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8895, kappa: 0.7668, kb_relative_information_score: 149.0446, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8975, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.6084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8799, kappa: 0.7464, kb_relative_information_score: 146.5732, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.89, predictive_accuracy: 0.8829, prior_entropy: 0.9694, recall: 0.8829, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.6241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8895, kappa: 0.7668, kb_relative_information_score: 149.0446, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8975, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.6084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8799, kappa: 0.7464, kb_relative_information_score: 146.5732, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.89, predictive_accuracy: 0.8829, prior_entropy: 0.9694, recall: 0.8829, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.6241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8799, kappa: 0.7464, kb_relative_information_score: 146.5732, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.89, predictive_accuracy: 0.8829, prior_entropy: 0.9694, recall: 0.8829, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.6241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8799, kappa: 0.7464, kb_relative_information_score: 146.5732, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.89, predictive_accuracy: 0.8829, prior_entropy: 0.9694, recall: 0.8829, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.6241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8799, kappa: 0.7464, kb_relative_information_score: 146.5732, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.89, predictive_accuracy: 0.8829, prior_entropy: 0.9694, recall: 0.8829, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.6241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8799, kappa: 0.7464, kb_relative_information_score: 146.5732, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.89, predictive_accuracy: 0.8829, prior_entropy: 0.9694, recall: 0.8829, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.6241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.4544, kb_relative_information_score: -1.1902, mean_absolute_error: 0.4801, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.3643, predictive_accuracy: 0.6036, prior_entropy: 0.9694, recall: 0.6036, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.4894, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.4544, kb_relative_information_score: -1.1902, mean_absolute_error: 0.4801, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.3643, predictive_accuracy: 0.6036, prior_entropy: 0.9694, recall: 0.6036, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.4894, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.4544, kb_relative_information_score: -1.1902, mean_absolute_error: 0.4801, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.3643, predictive_accuracy: 0.6036, prior_entropy: 0.9694, recall: 0.6036, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.4894, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8799, kappa: 0.7464, kb_relative_information_score: 146.5732, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.89, predictive_accuracy: 0.8829, prior_entropy: 0.9694, recall: 0.8829, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.6241,

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