Task
Supervised Classification on fri_c4_1000_25

Supervised Classification on fri_c4_1000_25

Task 3589 Supervised Classification fri_c4_1000_25 401 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: 0.685, f_measure: 0.6257, kappa: 0.2469, kb_relative_information_score: 148.8492, mean_absolute_error: 0.431, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6271, predictive_accuracy: 0.625, prior_entropy: 0.9936, recall: 0.625, relative_absolute_error: 0.8696, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8855, kappa: 0.7685, kb_relative_information_score: 648.1912, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8871, predictive_accuracy: 0.886, prior_entropy: 0.9936, recall: 0.886, relative_absolute_error: 0.3806, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.5831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.6278, kappa: 0.2546, kb_relative_information_score: 147.3656, mean_absolute_error: 0.4297, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6319, predictive_accuracy: 0.627, prior_entropy: 0.9936, recall: 0.627, relative_absolute_error: 0.867, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4871, root_relative_squared_error: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.8707, kappa: 0.7388, kb_relative_information_score: 656.9003, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8711, predictive_accuracy: 0.871, prior_entropy: 0.9936, recall: 0.871, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.6694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.6252, kappa: 0.244, kb_relative_information_score: 142.8346, mean_absolute_error: 0.4316, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6254, predictive_accuracy: 0.625, prior_entropy: 0.9936, recall: 0.625, relative_absolute_error: 0.871, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5813, f_measure: 0.5929, kappa: 0.1779, kb_relative_information_score: 120.2017, mean_absolute_error: 0.442, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.5952, predictive_accuracy: 0.599, prior_entropy: 0.9936, recall: 0.599, relative_absolute_error: 0.8919, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5299, root_relative_squared_error: 1.0646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.8908, kappa: 0.7795, kb_relative_information_score: 771.9949, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.891, predictive_accuracy: 0.891, prior_entropy: 0.9936, recall: 0.891, relative_absolute_error: 0.2277, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.6473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6711, f_measure: 0.6216, kappa: 0.2358, kb_relative_information_score: 157.3369, mean_absolute_error: 0.4272, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6213, predictive_accuracy: 0.622, prior_entropy: 0.9936, recall: 0.622, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9009, kappa: 0.8, kb_relative_information_score: 652.7206, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.9009, predictive_accuracy: 0.901, prior_entropy: 0.9936, recall: 0.901, relative_absolute_error: 0.3779, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.2805, root_relative_squared_error: 0.5635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.6351, kappa: 0.2621, kb_relative_information_score: 139.736, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6351, predictive_accuracy: 0.637, prior_entropy: 0.9936, recall: 0.637, relative_absolute_error: 0.8789, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.7381, kappa: 0.4719, kb_relative_information_score: 451.08, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.7383, predictive_accuracy: 0.738, prior_entropy: 0.9936, recall: 0.738, relative_absolute_error: 0.552, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.568, f_measure: 0.5982, kappa: 0.1954, kb_relative_information_score: 32.2097, mean_absolute_error: 0.4846, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6105, predictive_accuracy: 0.612, prior_entropy: 0.9936, recall: 0.612, relative_absolute_error: 0.9778, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, f_measure: 0.6164, kappa: 0.2252, kb_relative_information_score: 142.5001, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6193, predictive_accuracy: 0.622, prior_entropy: 0.9936, recall: 0.622, relative_absolute_error: 0.87, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4885, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6671, f_measure: 0.6465, kappa: 0.2859, kb_relative_information_score: 256.3391, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6462, predictive_accuracy: 0.647, prior_entropy: 0.9936, recall: 0.647, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.544, root_relative_squared_error: 1.0928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8849, kappa: 0.7677, kb_relative_information_score: 690.7979, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8849, predictive_accuracy: 0.885, prior_entropy: 0.9936, recall: 0.885, relative_absolute_error: 0.3249, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.5913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.8665, kappa: 0.7301, kb_relative_information_score: 361.5616, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8675, predictive_accuracy: 0.867, prior_entropy: 0.9936, recall: 0.867, relative_absolute_error: 0.6928, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.7456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.3868, kb_relative_information_score: -0.0282, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.2992, predictive_accuracy: 0.547, prior_entropy: 0.9936, recall: 0.547, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4978, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8276, f_measure: 0.7589, kappa: 0.5134, kb_relative_information_score: 375.7618, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.7589, predictive_accuracy: 0.759, prior_entropy: 0.9936, recall: 0.759, relative_absolute_error: 0.6446, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.8131, kappa: 0.6232, kb_relative_information_score: 560.2336, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8133, predictive_accuracy: 0.813, prior_entropy: 0.9936, recall: 0.813, relative_absolute_error: 0.4494, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.8939, kappa: 0.7858, kb_relative_information_score: 715.274, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8939, predictive_accuracy: 0.894, prior_entropy: 0.9936, recall: 0.894, relative_absolute_error: 0.2965, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.5727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, f_measure: 0.6364, kappa: 0.2648, kb_relative_information_score: 134.7971, mean_absolute_error: 0.4385, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6363, predictive_accuracy: 0.638, prior_entropy: 0.9936, recall: 0.638, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5123, f_measure: 0.4447, kappa: 0.0266, kb_relative_information_score: 94.5171, mean_absolute_error: 0.447, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.5499, predictive_accuracy: 0.553, prior_entropy: 0.9936, recall: 0.553, relative_absolute_error: 0.902, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.6686, root_relative_squared_error: 1.3431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.8648, kappa: 0.727, kb_relative_information_score: 717.4252, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8649, predictive_accuracy: 0.865, prior_entropy: 0.9936, recall: 0.865, relative_absolute_error: 0.2845, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.6278, kappa: 0.2529, kb_relative_information_score: 152.3374, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6305, predictive_accuracy: 0.627, prior_entropy: 0.9936, recall: 0.627, relative_absolute_error: 0.8625, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4823, root_relative_squared_error: 0.9689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6507, f_measure: 0.6539, kappa: 0.3016, kb_relative_information_score: 299.1059, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6539, predictive_accuracy: 0.654, prior_entropy: 0.9936, recall: 0.654, relative_absolute_error: 0.6982, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5882, root_relative_squared_error: 1.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.6428, kappa: 0.2825, kb_relative_information_score: 159.8076, mean_absolute_error: 0.4249, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6452, predictive_accuracy: 0.642, prior_entropy: 0.9936, recall: 0.642, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4776, root_relative_squared_error: 0.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.9028, kappa: 0.8036, kb_relative_information_score: 526.2869, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.9032, predictive_accuracy: 0.903, prior_entropy: 0.9936, recall: 0.903, relative_absolute_error: 0.524, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6373, f_measure: 0.6414, kappa: 0.2754, kb_relative_information_score: 274.7983, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6411, predictive_accuracy: 0.642, prior_entropy: 0.9936, recall: 0.642, relative_absolute_error: 0.7224, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5983, root_relative_squared_error: 1.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.786, kappa: 0.568, kb_relative_information_score: 506.9352, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.7859, predictive_accuracy: 0.786, prior_entropy: 0.9936, recall: 0.786, relative_absolute_error: 0.5073, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.7773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.6258, kappa: 0.2511, kb_relative_information_score: 145.8972, mean_absolute_error: 0.4304, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6304, predictive_accuracy: 0.625, prior_entropy: 0.9936, recall: 0.625, relative_absolute_error: 0.8684, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4873, root_relative_squared_error: 0.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.8648, kappa: 0.727, kb_relative_information_score: 717.4252, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8649, predictive_accuracy: 0.865, prior_entropy: 0.9936, recall: 0.865, relative_absolute_error: 0.2845, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.6278, kappa: 0.2529, kb_relative_information_score: 152.3374, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6305, predictive_accuracy: 0.627, prior_entropy: 0.9936, recall: 0.627, relative_absolute_error: 0.8625, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4823, root_relative_squared_error: 0.9689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.6688, kappa: 0.3303, kb_relative_information_score: 167.3463, mean_absolute_error: 0.4241, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6687, predictive_accuracy: 0.67, prior_entropy: 0.9936, recall: 0.67, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4566, root_relative_squared_error: 0.9173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.8324, kappa: 0.6634, kb_relative_information_score: 462.4838, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8351, predictive_accuracy: 0.832, prior_entropy: 0.9936, recall: 0.832, relative_absolute_error: 0.5741, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.855, kappa: 0.7076, kb_relative_information_score: 706.2578, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8551, predictive_accuracy: 0.855, prior_entropy: 0.9936, recall: 0.855, relative_absolute_error: 0.2926, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5738, f_measure: 0.5787, kappa: 0.1483, kb_relative_information_score: 149.2091, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.5781, predictive_accuracy: 0.58, prior_entropy: 0.9936, recall: 0.58, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3019, scimark_benchmark: 1697.6783, usercpu_time_millis: 343.75, usercpu_time_millis_testing: 156.25, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6602, f_measure: 0.6643, kappa: 0.3216, kb_relative_information_score: 321.3878, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.664, predictive_accuracy: 0.665, prior_entropy: 0.9936, recall: 0.665, relative_absolute_error: 0.676, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5788, root_relative_squared_error: 1.1627, scimark_benchmark: 1862.8608, usercpu_time_millis: 593.75, usercpu_time_millis_testing: 265.625, usercpu_time_millis_training: 328.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5738, f_measure: 0.5787, kappa: 0.1483, kb_relative_information_score: 149.2091, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.5781, predictive_accuracy: 0.58, prior_entropy: 0.9936, recall: 0.58, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3019, scimark_benchmark: 1370.737, usercpu_time_millis: 480, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6602, f_measure: 0.6643, kappa: 0.3216, kb_relative_information_score: 321.3878, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.664, predictive_accuracy: 0.665, prior_entropy: 0.9936, recall: 0.665, relative_absolute_error: 0.676, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5788, root_relative_squared_error: 1.1627, scimark_benchmark: 1373.9649, usercpu_time_millis: 440, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.6241, kappa: 0.2678, kb_relative_information_score: 143.8228, mean_absolute_error: 0.4315, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6492, predictive_accuracy: 0.627, prior_entropy: 0.9936, recall: 0.627, relative_absolute_error: 0.8708, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4836, root_relative_squared_error: 0.9715, scimark_benchmark: 1918.4916, usercpu_time_millis: 4562.5, usercpu_time_millis_training: 4562.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.63, kappa: 0.2538, kb_relative_information_score: 150.8497, mean_absolute_error: 0.4276, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6354, predictive_accuracy: 0.637, prior_entropy: 0.9936, recall: 0.637, relative_absolute_error: 0.8627, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4863, root_relative_squared_error: 0.9768, scimark_benchmark: 1918.4916, usercpu_time_millis: 5578.125, usercpu_time_millis_training: 5578.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6542, f_measure: 0.6597, kappa: 0.312, kb_relative_information_score: 317.3366, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6615, predictive_accuracy: 0.663, prior_entropy: 0.9936, recall: 0.663, relative_absolute_error: 0.68, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5805, root_relative_squared_error: 1.1662, scimark_benchmark: 1827.4462, usercpu_time_millis: 312.5, usercpu_time_millis_testing: 140.625, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6373, f_measure: 0.6414, kappa: 0.2754, kb_relative_information_score: 274.7983, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6411, predictive_accuracy: 0.642, prior_entropy: 0.9936, recall: 0.642, relative_absolute_error: 0.7224, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5983, root_relative_squared_error: 1.202, scimark_benchmark: 1827.4462, usercpu_time_millis: 421.875, usercpu_time_millis_testing: 140.625, usercpu_time_millis_training: 281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.87, kappa: 0.7379, kb_relative_information_score: 712.7038, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8701, predictive_accuracy: 0.87, prior_entropy: 0.9936, recall: 0.87, relative_absolute_error: 0.291, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.666, scimark_benchmark: 1353.7167, usercpu_time_millis: 4250, usercpu_time_millis_training: 4250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.63, kappa: 0.2538, kb_relative_information_score: 150.8497, mean_absolute_error: 0.4276, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6354, predictive_accuracy: 0.637, prior_entropy: 0.9936, recall: 0.637, relative_absolute_error: 0.8627, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4863, root_relative_squared_error: 0.9768, scimark_benchmark: 1871.4229, usercpu_time_millis: 593.75, usercpu_time_millis_training: 593.75,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.6278, kappa: 0.2529, kb_relative_information_score: 152.3374, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6305, predictive_accuracy: 0.627, prior_entropy: 0.9936, recall: 0.627, relative_absolute_error: 0.8625, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4823, root_relative_squared_error: 0.9689, scimark_benchmark: 1352.2484, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, f_measure: 0.6365, kappa: 0.2651, kb_relative_information_score: 266.6958, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6363, predictive_accuracy: 0.638, prior_entropy: 0.9936, recall: 0.638, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.6017, root_relative_squared_error: 1.2087, scimark_benchmark: 1618.1738, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6374, f_measure: 0.6423, kappa: 0.2767, kb_relative_information_score: 278.8496, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6423, predictive_accuracy: 0.644, prior_entropy: 0.9936, recall: 0.644, relative_absolute_error: 0.7183, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.1986, scimark_benchmark: 1618.1738, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6549, f_measure: 0.62, kappa: 0.2562, kb_relative_information_score: 137.6524, mean_absolute_error: 0.4346, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6409, predictive_accuracy: 0.622, prior_entropy: 0.9936, recall: 0.622, relative_absolute_error: 0.8768, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4824, root_relative_squared_error: 0.969, scimark_benchmark: 1744.8652, usercpu_time_millis: 421.875, usercpu_time_millis_training: 421.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.6427, kappa: 0.2775, kb_relative_information_score: 146.3906, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6425, predictive_accuracy: 0.644, prior_entropy: 0.9936, recall: 0.644, relative_absolute_error: 0.87, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4716, root_relative_squared_error: 0.9474, 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: 0.5923, f_measure: 0.5973, kappa: 0.1858, kb_relative_information_score: 187.3772, mean_absolute_error: 0.4012, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.5969, predictive_accuracy: 0.599, prior_entropy: 0.9936, recall: 0.599, relative_absolute_error: 0.8096, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2707, scimark_benchmark: 1744.8652, usercpu_time_millis: 125, usercpu_time_millis_testing: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.8839, kappa: 0.7654, kb_relative_information_score: 671.4923, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 0.9936, recall: 0.884, relative_absolute_error: 0.3495, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.5827, scimark_benchmark: 1744.8652, usercpu_time_millis: 625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 609.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.8706, kappa: 0.7384, kb_relative_information_score: 654.0411, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8714, predictive_accuracy: 0.871, prior_entropy: 0.9936, recall: 0.871, relative_absolute_error: 0.3721, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.676, scimark_benchmark: 1744.8652, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.8541, kappa: 0.706, kb_relative_information_score: 622.3738, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8544, predictive_accuracy: 0.854, prior_entropy: 0.9936, recall: 0.854, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.7021, 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: 0.9568, f_measure: 0.8978, kappa: 0.7936, kb_relative_information_score: 521.0774, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.898, predictive_accuracy: 0.898, prior_entropy: 0.9936, recall: 0.898, relative_absolute_error: 0.5299, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.314, root_relative_squared_error: 0.6308, scimark_benchmark: 1744.8652, usercpu_time_millis: 343.75, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 296.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.6252, kappa: 0.244, kb_relative_information_score: 142.8346, mean_absolute_error: 0.4316, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6254, predictive_accuracy: 0.625, prior_entropy: 0.9936, recall: 0.625, relative_absolute_error: 0.871, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9847, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.8658, kappa: 0.7289, kb_relative_information_score: 720.4808, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8659, predictive_accuracy: 0.866, prior_entropy: 0.9936, recall: 0.866, relative_absolute_error: 0.2812, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.7119, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.6278, kappa: 0.2529, kb_relative_information_score: 152.3374, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6305, predictive_accuracy: 0.627, prior_entropy: 0.9936, recall: 0.627, relative_absolute_error: 0.8625, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4823, root_relative_squared_error: 0.9689, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6306, f_measure: 0.6355, kappa: 0.2629, kb_relative_information_score: 264.6701, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6353, predictive_accuracy: 0.637, prior_entropy: 0.9936, recall: 0.637, relative_absolute_error: 0.7325, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.6025, root_relative_squared_error: 1.2103, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6374, f_measure: 0.6423, kappa: 0.2767, kb_relative_information_score: 278.8496, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6423, predictive_accuracy: 0.644, prior_entropy: 0.9936, recall: 0.644, relative_absolute_error: 0.7183, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.1986, 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: 0.6549, f_measure: 0.62, kappa: 0.2562, kb_relative_information_score: 137.6506, mean_absolute_error: 0.4346, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6409, predictive_accuracy: 0.622, prior_entropy: 0.9936, recall: 0.622, relative_absolute_error: 0.8768, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4824, root_relative_squared_error: 0.969, scimark_benchmark: 1744.8652, usercpu_time_millis: 437.5, usercpu_time_millis_training: 437.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.6427, kappa: 0.2775, kb_relative_information_score: 146.3906, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6425, predictive_accuracy: 0.644, prior_entropy: 0.9936, recall: 0.644, relative_absolute_error: 0.87, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4716, root_relative_squared_error: 0.9474, 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: 0.5923, f_measure: 0.5973, kappa: 0.1858, kb_relative_information_score: 187.3772, mean_absolute_error: 0.4012, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.5969, predictive_accuracy: 0.599, prior_entropy: 0.9936, recall: 0.599, relative_absolute_error: 0.8096, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2707, scimark_benchmark: 1744.8652, usercpu_time_millis: 125, usercpu_time_millis_testing: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.8839, kappa: 0.7654, kb_relative_information_score: 671.4923, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 0.9936, recall: 0.884, relative_absolute_error: 0.3495, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.5827, scimark_benchmark: 1744.8652, usercpu_time_millis: 593.75, usercpu_time_millis_training: 593.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.8639, kappa: 0.7251, kb_relative_information_score: 637.659, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8639, predictive_accuracy: 0.864, prior_entropy: 0.9936, recall: 0.864, relative_absolute_error: 0.3888, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.6857, scimark_benchmark: 1744.8652, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.8541, kappa: 0.706, kb_relative_information_score: 622.3738, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8544, predictive_accuracy: 0.854, prior_entropy: 0.9936, recall: 0.854, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.7021, 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: 0.9603, f_measure: 0.9008, kappa: 0.7997, kb_relative_information_score: 525.5829, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.9011, predictive_accuracy: 0.901, prior_entropy: 0.9936, recall: 0.901, relative_absolute_error: 0.5257, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.6244, scimark_benchmark: 1744.8652, usercpu_time_millis: 406.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 390.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.6252, kappa: 0.244, kb_relative_information_score: 142.8346, mean_absolute_error: 0.4316, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6254, predictive_accuracy: 0.625, prior_entropy: 0.9936, recall: 0.625, relative_absolute_error: 0.871, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9847, 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: 0.873, f_measure: 0.8648, kappa: 0.7269, kb_relative_information_score: 718.4552, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8649, predictive_accuracy: 0.865, prior_entropy: 0.9936, recall: 0.865, relative_absolute_error: 0.2832, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3558, root_relative_squared_error: 0.7147, 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: 0.6859, f_measure: 0.6427, kappa: 0.2775, kb_relative_information_score: 146.3906, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6425, predictive_accuracy: 0.644, prior_entropy: 0.9936, recall: 0.644, relative_absolute_error: 0.87, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4716, root_relative_squared_error: 0.9474, scimark_benchmark: 1327.5254, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.6427, kappa: 0.2775, kb_relative_information_score: 146.3906, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6425, predictive_accuracy: 0.644, prior_entropy: 0.9936, recall: 0.644, relative_absolute_error: 0.87, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4716, root_relative_squared_error: 0.9474, scimark_benchmark: 1834.908, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.8839, kappa: 0.7654, kb_relative_information_score: 671.4923, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 0.9936, recall: 0.884, relative_absolute_error: 0.3495, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.5827, scimark_benchmark: 1788.6668, usercpu_time_millis: 687.5, usercpu_time_millis_training: 687.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.655, f_measure: 0.62, kappa: 0.2562, kb_relative_information_score: 137.6512, mean_absolute_error: 0.4346, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6409, predictive_accuracy: 0.622, prior_entropy: 0.9936, recall: 0.622, relative_absolute_error: 0.8768, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4824, root_relative_squared_error: 0.969, scimark_benchmark: 1788.6668, usercpu_time_millis: 421.875, usercpu_time_millis_training: 421.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.8869, kappa: 0.7715, kb_relative_information_score: 683.7759, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.887, predictive_accuracy: 0.887, prior_entropy: 0.9936, recall: 0.887, relative_absolute_error: 0.3359, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.287, root_relative_squared_error: 0.5765, scimark_benchmark: 1788.6668, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.8555, kappa: 0.7078, kb_relative_information_score: 619.4954, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8565, predictive_accuracy: 0.856, prior_entropy: 0.9936, recall: 0.856, relative_absolute_error: 0.4073, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.7096, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, f_measure: 0.6508, kappa: 0.2991, kb_relative_information_score: 143.0141, mean_absolute_error: 0.4335, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6536, predictive_accuracy: 0.65, prior_entropy: 0.9936, recall: 0.65, relative_absolute_error: 0.8747, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9402, 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: 0.6979, f_measure: 0.6463, kappa: 0.2848, kb_relative_information_score: 138.858, mean_absolute_error: 0.4366, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6471, predictive_accuracy: 0.649, prior_entropy: 0.9936, recall: 0.649, relative_absolute_error: 0.881, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4683, root_relative_squared_error: 0.9407, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6373, f_measure: 0.6414, kappa: 0.2754, kb_relative_information_score: 274.7983, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6411, predictive_accuracy: 0.642, prior_entropy: 0.9936, recall: 0.642, relative_absolute_error: 0.7224, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5983, root_relative_squared_error: 1.202, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6306, f_measure: 0.6355, kappa: 0.2629, kb_relative_information_score: 264.6701, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6353, predictive_accuracy: 0.637, prior_entropy: 0.9936, recall: 0.637, relative_absolute_error: 0.7325, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.6025, root_relative_squared_error: 1.2103, scimark_benchmark: 921.645, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.6427, kappa: 0.2775, kb_relative_information_score: 146.3906, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6425, predictive_accuracy: 0.644, prior_entropy: 0.9936, recall: 0.644, relative_absolute_error: 0.87, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4716, root_relative_squared_error: 0.9474, scimark_benchmark: 1153.5189, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.8707, kappa: 0.7388, kb_relative_information_score: 656.9003, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8711, predictive_accuracy: 0.871, prior_entropy: 0.9936, recall: 0.871, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.6694, scimark_benchmark: 1100.445, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.8961, kappa: 0.7904, kb_relative_information_score: 697.03, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8962, predictive_accuracy: 0.896, prior_entropy: 0.9936, recall: 0.896, relative_absolute_error: 0.3226, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.5515, scimark_benchmark: 1860.4354, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8512, kappa: 0.7037, kb_relative_information_score: 714.6845, mean_absolute_error: 0.1409, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8615, predictive_accuracy: 0.851, prior_entropy: 0.9936, recall: 0.851, relative_absolute_error: 0.2843, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.639, scimark_benchmark: 1840.6094, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6251, f_measure: 0.5725, kappa: 0.1817, kb_relative_information_score: 174.22, mean_absolute_error: 0.4076, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6084, predictive_accuracy: 0.58, prior_entropy: 0.9936, recall: 0.58, relative_absolute_error: 0.8225, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.093, scimark_benchmark: 1840.6094, usercpu_time_millis: 187.5, usercpu_time_millis_testing: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6632, f_measure: 0.6086, kappa: 0.2097, kb_relative_information_score: 128.3875, mean_absolute_error: 0.4382, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6084, predictive_accuracy: 0.609, prior_entropy: 0.9936, recall: 0.609, relative_absolute_error: 0.8842, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9608, scimark_benchmark: 1873.1108, usercpu_time_millis: 265.625, usercpu_time_millis_testing: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.8939, kappa: 0.7858, kb_relative_information_score: 715.274, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8939, predictive_accuracy: 0.894, prior_entropy: 0.9936, recall: 0.894, relative_absolute_error: 0.2965, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.5727, scimark_benchmark: 1873.1108, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6201, f_measure: 0.5929, kappa: 0.1779, kb_relative_information_score: 118.3127, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.5952, predictive_accuracy: 0.599, prior_entropy: 0.9936, recall: 0.599, relative_absolute_error: 0.8903, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5066, root_relative_squared_error: 1.0176, scimark_benchmark: 1873.1108, usercpu_time_millis: 250, usercpu_time_millis_testing: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.863, kappa: 0.7237, kb_relative_information_score: 722.4629, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8631, predictive_accuracy: 0.863, prior_entropy: 0.9936, recall: 0.863, relative_absolute_error: 0.2764, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.7436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6181, f_measure: 0.6234, kappa: 0.2409, kb_relative_information_score: 252.5164, mean_absolute_error: 0.369, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6292, predictive_accuracy: 0.631, prior_entropy: 0.9936, recall: 0.631, relative_absolute_error: 0.7446, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.6075, root_relative_squared_error: 1.2203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5201, f_measure: 0.4412, kappa: 0.0437, kb_relative_information_score: 114.7734, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6177, predictive_accuracy: 0.563, prior_entropy: 0.9936, recall: 0.563, relative_absolute_error: 0.8818, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.6611, root_relative_squared_error: 1.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.642, f_measure: 0.647, kappa: 0.2862, kb_relative_information_score: 288.9777, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6472, predictive_accuracy: 0.649, prior_entropy: 0.9936, recall: 0.649, relative_absolute_error: 0.7082, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5925, root_relative_squared_error: 1.1902, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6374, f_measure: 0.6423, kappa: 0.2767, kb_relative_information_score: 278.8496, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6423, predictive_accuracy: 0.644, prior_entropy: 0.9936, recall: 0.644, relative_absolute_error: 0.7183, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.1986, 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: 0.8837, f_measure: 0.8601, kappa: 0.7178, kb_relative_information_score: 639.7762, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8602, predictive_accuracy: 0.86, prior_entropy: 0.9936, recall: 0.86, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.6978, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.8531, kappa: 0.7039, kb_relative_information_score: 620.1683, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8534, predictive_accuracy: 0.853, prior_entropy: 0.9936, recall: 0.853, relative_absolute_error: 0.4039, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.7059, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6963, f_measure: 0.6351, kappa: 0.2621, kb_relative_information_score: 139.7321, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6351, predictive_accuracy: 0.637, prior_entropy: 0.9936, recall: 0.637, relative_absolute_error: 0.8789, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9434, 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: 0.66, f_measure: 0.6252, kappa: 0.244, kb_relative_information_score: 142.8346, mean_absolute_error: 0.4316, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6254, predictive_accuracy: 0.625, prior_entropy: 0.9936, recall: 0.625, relative_absolute_error: 0.871, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9847, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.9098, kappa: 0.8178, kb_relative_information_score: 817.6675, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.9102, predictive_accuracy: 0.91, prior_entropy: 0.9936, recall: 0.91, relative_absolute_error: 0.1816, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3, root_relative_squared_error: 0.6027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8817, kappa: 0.7609, kb_relative_information_score: 710.2661, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8823, predictive_accuracy: 0.882, prior_entropy: 0.9936, recall: 0.882, relative_absolute_error: 0.3046, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.6435, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.8648, kappa: 0.727, kb_relative_information_score: 717.4252, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8649, predictive_accuracy: 0.865, prior_entropy: 0.9936, recall: 0.865, relative_absolute_error: 0.2845, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7175, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,

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