OpenML
Supervised Classification on kc2

Supervised Classification on kc2

Task 3913 Supervised Classification kc2 174023 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

174023 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2685, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.7318, recall: 0.795, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6392, f_measure: 0.7939, kappa: 0.3258, kb_relative_information_score: 0.33, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7899, predictive_accuracy: 0.8123, prior_entropy: 0.7318, recall: 0.8123, relative_absolute_error: 0.5748, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4333, root_relative_squared_error: 1.0733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7011, f_measure: 0.798, kappa: 0.3901, kb_relative_information_score: 0.2685, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8016, predictive_accuracy: 0.795, prior_entropy: 0.7318, recall: 0.795, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7043, f_measure: 0.8215, kappa: 0.4358, kb_relative_information_score: 0.3847, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8179, predictive_accuracy: 0.8276, prior_entropy: 0.7318, recall: 0.8276, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4152, root_relative_squared_error: 1.0286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6625, f_measure: 0.807, kappa: 0.3729, kb_relative_information_score: 0.3642, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8037, predictive_accuracy: 0.8218, prior_entropy: 0.7318, recall: 0.8218, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4221, root_relative_squared_error: 1.0456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6328, f_measure: 0.8046, kappa: 0.3445, kb_relative_information_score: 0.4121, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8244, predictive_accuracy: 0.8352, prior_entropy: 0.7318, recall: 0.8352, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6465, f_measure: 0.8066, kappa: 0.3591, kb_relative_information_score: 0.3915, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8111, predictive_accuracy: 0.8295, prior_entropy: 0.7318, recall: 0.8295, relative_absolute_error: 0.5221, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4129, root_relative_squared_error: 1.0229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.651, f_measure: 0.7747, kappa: 0.3051, kb_relative_information_score: 0.2001, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7735, predictive_accuracy: 0.7759, prior_entropy: 0.7318, recall: 0.7759, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4734, root_relative_squared_error: 1.1728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6558, f_measure: 0.7808, kappa: 0.3193, kb_relative_information_score: 0.2275, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7783, predictive_accuracy: 0.7835, prior_entropy: 0.7318, recall: 0.7835, relative_absolute_error: 0.6628, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4653, root_relative_squared_error: 1.1525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6392, f_measure: 0.7939, kappa: 0.3258, kb_relative_information_score: 0.33, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7899, predictive_accuracy: 0.8123, prior_entropy: 0.7318, recall: 0.8123, relative_absolute_error: 0.5748, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4333, root_relative_squared_error: 1.0733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.844, kappa: 0.5189, kb_relative_information_score: 127.5481, mean_absolute_error: 0.2288, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8433, predictive_accuracy: 0.8448, prior_entropy: 0.734, recall: 0.8448, relative_absolute_error: 0.7006, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.8408, scimark_benchmark: 1742.4099, usercpu_time_millis: 1.45, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 1.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, f_measure: 0.7042, kb_relative_information_score: 0.9935, mean_absolute_error: 0.3258, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6321, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1, scimark_benchmark: 1721.7508, usercpu_time_millis: 0.207, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.8336, kappa: 0.4624, kb_relative_information_score: 134.8278, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8324, predictive_accuracy: 0.8448, prior_entropy: 0.734, recall: 0.8448, relative_absolute_error: 0.6723, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.8452, scimark_benchmark: 2143.2817, usercpu_time_millis: 6.756, usercpu_time_millis_testing: 0.514, usercpu_time_millis_training: 6.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.8357, kappa: 0.4916, kb_relative_information_score: 128.5668, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8344, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.6951, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.8427, scimark_benchmark: 1731.7126, usercpu_time_millis: 5.001, usercpu_time_millis_testing: 0.58, usercpu_time_millis_training: 4.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.844, kappa: 0.5246, kb_relative_information_score: 122.3206, mean_absolute_error: 0.2297, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8452, predictive_accuracy: 0.8429, prior_entropy: 0.734, recall: 0.8429, relative_absolute_error: 0.7033, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.8504, scimark_benchmark: 1129.8983, usercpu_time_millis: 3.609, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 3.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.8263, kappa: 0.4402, kb_relative_information_score: 129.2901, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8238, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.6727, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.348, root_relative_squared_error: 0.862, scimark_benchmark: 1165.034, usercpu_time_millis: 9.729, usercpu_time_millis_testing: 0.782, usercpu_time_millis_training: 8.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.8231, kappa: 0.4315, kb_relative_information_score: 127.5705, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8199, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6677, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.8668, scimark_benchmark: 1261.8703, usercpu_time_millis: 11.76, usercpu_time_millis_testing: 0.992, usercpu_time_millis_training: 10.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.7042, kb_relative_information_score: -0.9942, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6321, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1, scimark_benchmark: 1744.5659, usercpu_time_millis: 0.205, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4891, f_measure: 0.7042, kb_relative_information_score: -0.018, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6321, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001, scimark_benchmark: 1726.5323, usercpu_time_millis: 0.926, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 0.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.8304, kappa: 0.4573, kb_relative_information_score: 128.8089, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8275, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.8593, scimark_benchmark: 1728.8326, usercpu_time_millis: 6.62, usercpu_time_millis_testing: 0.628, usercpu_time_millis_training: 5.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.8361, kappa: 0.4747, kb_relative_information_score: 138.0873, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8337, predictive_accuracy: 0.8448, prior_entropy: 0.734, recall: 0.8448, relative_absolute_error: 0.678, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.336, root_relative_squared_error: 0.8322, scimark_benchmark: 1767.3503, usercpu_time_millis: 2.046, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 1.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7825, f_measure: 0.8017, kappa: 0.3783, kb_relative_information_score: 117.1533, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7982, predictive_accuracy: 0.8065, prior_entropy: 0.734, recall: 0.8065, relative_absolute_error: 0.6739, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.9297, scimark_benchmark: 1762.5813, usercpu_time_millis: 4.432, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 4.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, f_measure: 0.8254, kappa: 0.4358, kb_relative_information_score: 135.9161, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8233, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.6739, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.841, scimark_benchmark: 1108.4021, usercpu_time_millis: 6.321, usercpu_time_millis_testing: 0.624, usercpu_time_millis_training: 5.697,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.8328, kappa: 0.4621, kb_relative_information_score: 139.5359, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8307, predictive_accuracy: 0.8429, prior_entropy: 0.734, recall: 0.8429, relative_absolute_error: 0.6754, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.8317, scimark_benchmark: 1759.4979, usercpu_time_millis: 3.295, usercpu_time_millis_testing: 0.423, usercpu_time_millis_training: 2.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.8264, kappa: 0.4444, kb_relative_information_score: 127.3491, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8231, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.6803, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3473, root_relative_squared_error: 0.8602, scimark_benchmark: 1477.9049, usercpu_time_millis: 3.012, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 2.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.8336, kappa: 0.4624, kb_relative_information_score: 132.9364, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8324, predictive_accuracy: 0.8448, prior_entropy: 0.734, recall: 0.8448, relative_absolute_error: 0.6787, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.8403, scimark_benchmark: 1848.372, usercpu_time_millis: 4.628, usercpu_time_millis_testing: 0.583, usercpu_time_millis_training: 4.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.8369, kappa: 0.4752, kb_relative_information_score: 133.5637, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8352, predictive_accuracy: 0.8467, prior_entropy: 0.734, recall: 0.8467, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.8428, scimark_benchmark: 1251.3718, usercpu_time_millis: 8.824, usercpu_time_millis_testing: 1.116, usercpu_time_millis_training: 7.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.8296, kappa: 0.4532, kb_relative_information_score: 140.0646, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8269, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.6743, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.8338, scimark_benchmark: 1856.7467, usercpu_time_millis: 2.823, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 2.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.8199, kappa: 0.4228, kb_relative_information_score: 132.4568, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8162, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.6688, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.349, root_relative_squared_error: 0.8645, scimark_benchmark: 1740.395, usercpu_time_millis: 0.347, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.8413, kappa: 0.5138, kb_relative_information_score: 136.2442, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8416, predictive_accuracy: 0.841, prior_entropy: 0.734, recall: 0.841, relative_absolute_error: 0.7193, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.8485, scimark_benchmark: 1857.7844, usercpu_time_millis: 1.573, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 1.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.8243, kappa: 0.4267, kb_relative_information_score: 110.5702, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8244, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.7614, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.8458, scimark_benchmark: 1737.9822, usercpu_time_millis: 0.423, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 0.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.844, kappa: 0.5189, kb_relative_information_score: 127.0047, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8433, predictive_accuracy: 0.8448, prior_entropy: 0.734, recall: 0.8448, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.841, scimark_benchmark: 1741.2968, usercpu_time_millis: 1.049, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.8247, kappa: 0.4358, kb_relative_information_score: 135.541, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8218, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.6767, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.8412, scimark_benchmark: 1862.0186, usercpu_time_millis: 2.085, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 1.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.8245, kappa: 0.4314, kb_relative_information_score: 133.7568, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8228, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.6738, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.8454, scimark_benchmark: 1758.1424, usercpu_time_millis: 7.117, usercpu_time_millis_testing: 0.942, usercpu_time_millis_training: 6.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4874, f_measure: 0.7042, kb_relative_information_score: 0.2763, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6321, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001, scimark_benchmark: 1848.8886, usercpu_time_millis: 0.989, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 0.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.8336, kappa: 0.4624, kb_relative_information_score: 137.7691, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8324, predictive_accuracy: 0.8448, prior_entropy: 0.734, recall: 0.8448, relative_absolute_error: 0.6671, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.8413, scimark_benchmark: 1864.2071, usercpu_time_millis: 8.34, usercpu_time_millis_testing: 0.655, usercpu_time_millis_training: 7.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.8336, kappa: 0.4624, kb_relative_information_score: 136.9173, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8324, predictive_accuracy: 0.8448, prior_entropy: 0.734, recall: 0.8448, relative_absolute_error: 0.6759, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.8382, scimark_benchmark: 1764.875, usercpu_time_millis: 2.162, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 2.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.8434, kappa: 0.5155, kb_relative_information_score: 125.2749, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8422, predictive_accuracy: 0.8448, prior_entropy: 0.734, recall: 0.8448, relative_absolute_error: 0.7032, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.8411, scimark_benchmark: 1758.8532, usercpu_time_millis: 2.713, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 2.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.8336, kappa: 0.4624, kb_relative_information_score: 140.0536, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8324, predictive_accuracy: 0.8448, prior_entropy: 0.734, recall: 0.8448, relative_absolute_error: 0.6728, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.8343, scimark_benchmark: 1762.5813, usercpu_time_millis: 5.206, usercpu_time_millis_testing: 0.506, usercpu_time_millis_training: 4.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4906, kb_relative_information_score: 0.6053, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.8165, kappa: 0.4096, kb_relative_information_score: 132.6662, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8129, predictive_accuracy: 0.8276, prior_entropy: 0.734, recall: 0.8276, relative_absolute_error: 0.6745, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.8518, scimark_benchmark: 2166.8354, usercpu_time_millis: 0.739, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 0.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.8207, kappa: 0.4272, kb_relative_information_score: 137.905, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.817, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.6613, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.8601, scimark_benchmark: 1923.6231, usercpu_time_millis: 3.108, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 2.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.8357, kappa: 0.4916, kb_relative_information_score: 127.5307, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8344, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.8412, scimark_benchmark: 1730.6192, usercpu_time_millis: 2.74, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 2.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.8312, kappa: 0.4536, kb_relative_information_score: 135.3842, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8299, predictive_accuracy: 0.8429, prior_entropy: 0.734, recall: 0.8429, relative_absolute_error: 0.6693, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.8434, scimark_benchmark: 1859.0604, usercpu_time_millis: 1.657, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 1.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.839, kappa: 0.5, kb_relative_information_score: 129.939, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8373, predictive_accuracy: 0.841, prior_entropy: 0.734, recall: 0.841, relative_absolute_error: 0.6899, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419, scimark_benchmark: 1872.4881, usercpu_time_millis: 0.191, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.826, kappa: 0.4561, kb_relative_information_score: 112.2207, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8234, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.7319, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.8438, scimark_benchmark: 1711.6043, usercpu_time_millis: 0.536, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 0.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.8439, kappa: 0.5129, kb_relative_information_score: 137.907, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8419, predictive_accuracy: 0.8467, prior_entropy: 0.734, recall: 0.8467, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.8354, scimark_benchmark: 1723.9607, usercpu_time_millis: 1.292, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 1.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.8231, kappa: 0.4315, kb_relative_information_score: 126.3211, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8199, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6795, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.8678, scimark_benchmark: 1735.7783, usercpu_time_millis: 5.252, usercpu_time_millis_testing: 0.463, usercpu_time_millis_training: 4.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.8296, kappa: 0.4532, kb_relative_information_score: 132.021, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8269, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.6754, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.343, root_relative_squared_error: 0.8497, scimark_benchmark: 1869.1727, usercpu_time_millis: 6.144, usercpu_time_millis_testing: 0.519, usercpu_time_millis_training: 5.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, f_measure: 0.8337, kappa: 0.4662, kb_relative_information_score: 140.9282, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8312, predictive_accuracy: 0.8429, prior_entropy: 0.734, recall: 0.8429, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.336, root_relative_squared_error: 0.8322, scimark_benchmark: 1932.193, usercpu_time_millis: 0.538, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 0.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.8255, kappa: 0.4402, kb_relative_information_score: 129.1948, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8225, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.6781, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.8526, scimark_benchmark: 1735.7783, usercpu_time_millis: 0.868, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 0.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4891, f_measure: 0.7042, kb_relative_information_score: 0.3649, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6321, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001, scimark_benchmark: 1737.5952, usercpu_time_millis: 0.839, usercpu_time_millis_testing: 0.185, usercpu_time_millis_training: 0.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4881, f_measure: 0.7042, kb_relative_information_score: 0.2317, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6321, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001, scimark_benchmark: 1729.2681, usercpu_time_millis: 0.642, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 0.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.8335, kappa: 0.4838, kb_relative_information_score: 129.4761, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.832, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.6919, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.8437, scimark_benchmark: 1736.7427, usercpu_time_millis: 0.877, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.8262, kappa: 0.4524, kb_relative_information_score: 135.5263, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.823, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.6859, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.8341, scimark_benchmark: 1717.382, usercpu_time_millis: 0.937, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 0.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.8215, kappa: 0.4271, kb_relative_information_score: 127.3396, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8181, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.6748, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.869, scimark_benchmark: 2151.6355, usercpu_time_millis: 9.24, usercpu_time_millis_testing: 0.509, usercpu_time_millis_training: 8.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.828, kappa: 0.4488, kb_relative_information_score: 130.6868, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.825, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.8534, scimark_benchmark: 1867.1999, usercpu_time_millis: 8.645, usercpu_time_millis_testing: 0.471, usercpu_time_millis_training: 8.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.8353, kappa: 0.4669, kb_relative_information_score: 141.1331, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8345, predictive_accuracy: 0.8467, prior_entropy: 0.734, recall: 0.8467, relative_absolute_error: 0.673, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.335, root_relative_squared_error: 0.8297, scimark_benchmark: 1802.6428, usercpu_time_millis: 2.282, usercpu_time_millis_testing: 0.337, usercpu_time_millis_training: 1.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.8172, kappa: 0.4093, kb_relative_information_score: 136.5287, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8142, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.8319, scimark_benchmark: 1729.8197, usercpu_time_millis: 3.792, usercpu_time_millis_testing: 0.588, usercpu_time_millis_training: 3.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.8344, kappa: 0.4627, kb_relative_information_score: 135.5245, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8342, predictive_accuracy: 0.8467, prior_entropy: 0.734, recall: 0.8467, relative_absolute_error: 0.6782, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.8361, scimark_benchmark: 1712.3987, usercpu_time_millis: 5.006, usercpu_time_millis_testing: 0.799, usercpu_time_millis_training: 4.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.8272, kappa: 0.4445, kb_relative_information_score: 134.7773, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8244, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.6899, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.8303, scimark_benchmark: 1733.4719, usercpu_time_millis: 1.784, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 1.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.828, kappa: 0.4488, kb_relative_information_score: 130.9795, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.825, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.8543, scimark_benchmark: 1924.8319, usercpu_time_millis: 4.454, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 4.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.8361, kappa: 0.4885, kb_relative_information_score: 139.8184, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8339, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.8358, scimark_benchmark: 1737.5247, usercpu_time_millis: 3.034, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 2.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.8288, kappa: 0.4489, kb_relative_information_score: 131.5719, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8263, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.6728, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.8538, scimark_benchmark: 1868.2531, usercpu_time_millis: 3.632, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 3.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, f_measure: 0.8328, kappa: 0.4658, kb_relative_information_score: 131.0006, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8299, predictive_accuracy: 0.841, prior_entropy: 0.734, recall: 0.841, relative_absolute_error: 0.6699, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.8574, scimark_benchmark: 1716.1554, usercpu_time_millis: 1.664, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 1.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4945, f_measure: 0.7042, kb_relative_information_score: -1.3328, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6321, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001, scimark_benchmark: 1857.7941, usercpu_time_millis: 0.192, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.8369, kappa: 0.4752, kb_relative_information_score: 137.4288, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8352, predictive_accuracy: 0.8467, prior_entropy: 0.734, recall: 0.8467, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.8404, scimark_benchmark: 1862.5409, usercpu_time_millis: 0.707, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4881, f_measure: 0.7042, kb_relative_information_score: 1.0506, mean_absolute_error: 0.3258, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6321, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1, scimark_benchmark: 1867.1999, usercpu_time_millis: 0.944, usercpu_time_millis_testing: 0.199, usercpu_time_millis_training: 0.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.8446, kappa: 0.5222, kb_relative_information_score: 121.8522, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8443, predictive_accuracy: 0.8448, prior_entropy: 0.734, recall: 0.8448, relative_absolute_error: 0.7021, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3424, root_relative_squared_error: 0.8482, scimark_benchmark: 1847.011, usercpu_time_millis: 3.198, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 2.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.8379, kappa: 0.4993, kb_relative_information_score: 117.9586, mean_absolute_error: 0.2329, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8369, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.8463, scimark_benchmark: 1857.941, usercpu_time_millis: 0.536, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.839, kappa: 0.5, kb_relative_information_score: 132.7941, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8373, predictive_accuracy: 0.841, prior_entropy: 0.734, recall: 0.841, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.8378, scimark_benchmark: 1825.4488, usercpu_time_millis: 2.586, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 2.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.8373, kappa: 0.4958, kb_relative_information_score: 121.7939, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8359, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.8428, scimark_benchmark: 1858.3038, usercpu_time_millis: 2.034, usercpu_time_millis_testing: 0.482, usercpu_time_millis_training: 1.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.8304, kappa: 0.4534, kb_relative_information_score: 132.8706, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8283, predictive_accuracy: 0.841, prior_entropy: 0.734, recall: 0.841, relative_absolute_error: 0.6743, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.8469, scimark_benchmark: 1865.6428, usercpu_time_millis: 3.402, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 3.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.8367, kappa: 0.4922, kb_relative_information_score: 124.203, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8349, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.8405, scimark_benchmark: 1741.3051, usercpu_time_millis: 1.248, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 0.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.8337, kappa: 0.4662, kb_relative_information_score: 133.6652, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8312, predictive_accuracy: 0.8429, prior_entropy: 0.734, recall: 0.8429, relative_absolute_error: 0.6693, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.8475, scimark_benchmark: 1243.5922, usercpu_time_millis: 8.735, usercpu_time_millis_testing: 0.921, usercpu_time_millis_training: 7.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.8136, kappa: 0.4107, kb_relative_information_score: 122.5533, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8097, predictive_accuracy: 0.8199, prior_entropy: 0.734, recall: 0.8199, relative_absolute_error: 0.6694, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.8988, scimark_benchmark: 1742.1589, usercpu_time_millis: 11.422, usercpu_time_millis_testing: 0.651, usercpu_time_millis_training: 10.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.8424, kappa: 0.5147, kb_relative_information_score: 121.2206, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8418, predictive_accuracy: 0.8429, prior_entropy: 0.734, recall: 0.8429, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.342, root_relative_squared_error: 0.8471, scimark_benchmark: 1862.5409, usercpu_time_millis: 0.621, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.8315, kappa: 0.4726, kb_relative_information_score: 131.3194, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8289, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.6887, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.8382, scimark_benchmark: 1866.6776, usercpu_time_millis: 0.699, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8116, f_measure: 0.828, kappa: 0.4488, kb_relative_information_score: 137.4447, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.825, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.6748, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.8418, scimark_benchmark: 1862.5409, usercpu_time_millis: 1.338, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 1.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.832, kappa: 0.4579, kb_relative_information_score: 133.8116, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8303, predictive_accuracy: 0.8429, prior_entropy: 0.734, recall: 0.8429, relative_absolute_error: 0.6702, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.8494, scimark_benchmark: 1856.7467, usercpu_time_millis: 1.116, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 0.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4884, f_measure: 0.7042, kb_relative_information_score: 0.116, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6321, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001, scimark_benchmark: 1862.0186, usercpu_time_millis: 0.136, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.8312, kappa: 0.4576, kb_relative_information_score: 131.8536, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8288, predictive_accuracy: 0.841, prior_entropy: 0.734, recall: 0.841, relative_absolute_error: 0.6749, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.85, scimark_benchmark: 1861.3749, usercpu_time_millis: 1.542, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 1.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.8279, kappa: 0.4446, kb_relative_information_score: 133.9319, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8258, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.6734, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.8428, scimark_benchmark: 1857.3304, usercpu_time_millis: 3.216, usercpu_time_millis_testing: 0.437, usercpu_time_millis_training: 2.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.832, kappa: 0.4579, kb_relative_information_score: 133.8793, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8303, predictive_accuracy: 0.8429, prior_entropy: 0.734, recall: 0.8429, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.8403, scimark_benchmark: 1858.3038, usercpu_time_millis: 2.763, usercpu_time_millis_testing: 0.458, usercpu_time_millis_training: 2.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.8264, kappa: 0.4444, kb_relative_information_score: 125.1136, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8231, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.674, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.8708, scimark_benchmark: 1858.3038, usercpu_time_millis: 3.357, usercpu_time_millis_testing: 0.235, usercpu_time_millis_training: 3.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4879, f_measure: 0.7042, kb_relative_information_score: 1.083, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6321, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1, scimark_benchmark: 1738.9148, usercpu_time_millis: 1.399, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 1.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.8262, kappa: 0.4358, kb_relative_information_score: 132.1323, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8249, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.6747, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.8494, scimark_benchmark: 1854.1, usercpu_time_millis: 4.974, usercpu_time_millis_testing: 0.468, usercpu_time_millis_training: 4.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.8334, kappa: 0.4734, kb_relative_information_score: 139.4024, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8304, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.6803, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.8328, scimark_benchmark: 1737.9974, usercpu_time_millis: 1.959, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 1.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.8369, kappa: 0.4752, kb_relative_information_score: 139.1708, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8352, predictive_accuracy: 0.8467, prior_entropy: 0.734, recall: 0.8467, relative_absolute_error: 0.6739, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.8343, scimark_benchmark: 1117.0949, usercpu_time_millis: 2.95, usercpu_time_millis_testing: 0.341, usercpu_time_millis_training: 2.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.832, kappa: 0.4579, kb_relative_information_score: 140.4764, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8303, predictive_accuracy: 0.8429, prior_entropy: 0.734, recall: 0.8429, relative_absolute_error: 0.6686, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.8367, scimark_benchmark: 1742.0962, usercpu_time_millis: 6.071, usercpu_time_millis_testing: 0.479, usercpu_time_millis_training: 5.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.8272, kappa: 0.4445, kb_relative_information_score: 131.8279, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8244, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.6717, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.854, scimark_benchmark: 1859.2172, usercpu_time_millis: 10.338, usercpu_time_millis_testing: 0.758, usercpu_time_millis_training: 9.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.827, kappa: 0.4403, kb_relative_information_score: 132.1294, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8253, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.678, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.8464, scimark_benchmark: 1741.699, usercpu_time_millis: 6.533, usercpu_time_millis_testing: 0.47, usercpu_time_millis_training: 6.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.8215, kappa: 0.4315, kb_relative_information_score: 124.0886, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8178, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.6723, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.357, root_relative_squared_error: 0.8842, scimark_benchmark: 1081.2039, usercpu_time_millis: 6.413, usercpu_time_millis_testing: 0.672, usercpu_time_millis_training: 5.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.8337, kappa: 0.4662, kb_relative_information_score: 130.0192, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8312, predictive_accuracy: 0.8429, prior_entropy: 0.734, recall: 0.8429, relative_absolute_error: 0.6782, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.8549, scimark_benchmark: 1084.4437, usercpu_time_millis: 6.999, usercpu_time_millis_testing: 0.867, usercpu_time_millis_training: 6.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.8337, kappa: 0.4662, kb_relative_information_score: 141.4407, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8312, predictive_accuracy: 0.8429, prior_entropy: 0.734, recall: 0.8429, relative_absolute_error: 0.6728, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.8334, scimark_benchmark: 1863.9794, usercpu_time_millis: 1.064, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 0.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.8312, kappa: 0.4576, kb_relative_information_score: 130.1891, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8288, predictive_accuracy: 0.841, prior_entropy: 0.734, recall: 0.841, relative_absolute_error: 0.6714, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.8543, scimark_benchmark: 1871.9601, usercpu_time_millis: 10.795, usercpu_time_millis_testing: 0.749, usercpu_time_millis_training: 10.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8145, f_measure: 0.8296, kappa: 0.4571, kb_relative_information_score: 138.5686, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8263, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.8343, scimark_benchmark: 1745.3654, usercpu_time_millis: 0.751, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 0.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.8279, kappa: 0.4446, kb_relative_information_score: 133.3497, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8258, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.847, scimark_benchmark: 1737.6238, usercpu_time_millis: 0.528, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.7042, kb_relative_information_score: 1.0471, mean_absolute_error: 0.3258, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6321, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1, scimark_benchmark: 1867.1999, usercpu_time_millis: 0.983, usercpu_time_millis_testing: 0.336, usercpu_time_millis_training: 0.647,

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