OpenML
Supervised Classification on Click_prediction_small

Supervised Classification on Click_prediction_small

Task 14971 Supervised Classification Click_prediction_small 21169 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

21169 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: 0.4999, f_measure: 0.7551, kb_relative_information_score: -15.1194, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1746.513, usercpu_time_millis: 37.403, usercpu_time_millis_testing: 6.254, usercpu_time_millis_training: 31.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, f_measure: 0.7594, kappa: 0.0175, kb_relative_information_score: -2328.4259, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8163, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9435, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.9648, scimark_benchmark: 1755.3167, usercpu_time_millis: 127.338, usercpu_time_millis_testing: 7.981, usercpu_time_millis_training: 119.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.7616, kappa: 0.0267, kb_relative_information_score: -2471.0936, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8016, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9643, scimark_benchmark: 1809.3967, usercpu_time_millis: 1109.483, usercpu_time_millis_testing: 20.768, usercpu_time_millis_training: 1088.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.7593, kappa: 0.0174, kb_relative_information_score: -2718.6849, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7731, predictive_accuracy: 0.8314, prior_entropy: 0.6541, recall: 0.8314, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9683, scimark_benchmark: 1720.9018, usercpu_time_millis: 1522.473, usercpu_time_millis_testing: 28.245, usercpu_time_millis_training: 1494.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.7551, kb_relative_information_score: -2395.512, mean_absolute_error: 0.2709, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.967, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.9763, scimark_benchmark: 1843.3265, usercpu_time_millis: 153.407, usercpu_time_millis_testing: 8.552, usercpu_time_millis_training: 144.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6211, f_measure: 0.7551, kb_relative_information_score: -2655.5852, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.9896, scimark_benchmark: 1726.1829, usercpu_time_millis: 108.204, usercpu_time_millis_testing: 9.842, usercpu_time_millis_training: 98.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6167, f_measure: 0.7551, kb_relative_information_score: -2972.6327, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.9903, scimark_benchmark: 2020.7708, usercpu_time_millis: 83.853, usercpu_time_millis_testing: 7.256, usercpu_time_millis_training: 76.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6735, f_measure: 0.7551, kb_relative_information_score: -2678.1794, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.9775, scimark_benchmark: 1731.1024, usercpu_time_millis: 74.453, usercpu_time_millis_testing: 4.652, usercpu_time_millis_training: 69.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -20.4352, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1853.3841, usercpu_time_millis: 60.434, usercpu_time_millis_testing: 7.551, usercpu_time_millis_training: 52.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6773, f_measure: 0.7719, kappa: 0.0709, kb_relative_information_score: -4643.2313, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7897, predictive_accuracy: 0.8333, prior_entropy: 0.6541, recall: 0.8333, relative_absolute_error: 0.9519, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.971, scimark_benchmark: 1760.934, usercpu_time_millis: 33.205, usercpu_time_millis_testing: 0.861, usercpu_time_millis_training: 32.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6961, f_measure: 0.7654, kappa: 0.0425, kb_relative_information_score: -2772.206, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.805, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9612, scimark_benchmark: 1717.8888, usercpu_time_millis: 134.039, usercpu_time_millis_testing: 6.461, usercpu_time_millis_training: 127.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6611, f_measure: 0.7551, kb_relative_information_score: -2645.5143, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9763, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.9829, scimark_benchmark: 1730.8446, usercpu_time_millis: 80.59, usercpu_time_millis_testing: 6.542, usercpu_time_millis_training: 74.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.662, f_measure: 0.7555, kappa: 0.0017, kb_relative_information_score: -3265.442, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7953, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9607, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.9774, scimark_benchmark: 1760.6391, usercpu_time_millis: 64.244, usercpu_time_millis_testing: 2.135, usercpu_time_millis_training: 62.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7551, kb_relative_information_score: -8.4501, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1763.734, usercpu_time_millis: 12.319, usercpu_time_millis_testing: 1.579, usercpu_time_millis_training: 10.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.7586, kappa: 0.0146, kb_relative_information_score: -2601.6996, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7773, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9666, scimark_benchmark: 1746.8608, usercpu_time_millis: 1155.137, usercpu_time_millis_testing: 16.797, usercpu_time_millis_training: 1138.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7702, kappa: 0.0629, kb_relative_information_score: -2243.0225, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8019, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.9214, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9614, scimark_benchmark: 1840.1791, usercpu_time_millis: 482.549, usercpu_time_millis_testing: 5.874, usercpu_time_millis_training: 476.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, f_measure: 0.7582, kappa: 0.0126, kb_relative_information_score: -2480.3896, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7875, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9662, scimark_benchmark: 1738.3306, usercpu_time_millis: 474.475, usercpu_time_millis_testing: 8.698, usercpu_time_millis_training: 465.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6823, f_measure: 0.7587, kappa: 0.0148, kb_relative_information_score: -2638.9721, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7684, predictive_accuracy: 0.8311, prior_entropy: 0.6541, recall: 0.8311, relative_absolute_error: 0.9403, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9693, scimark_benchmark: 1745.1233, usercpu_time_millis: 218.09, usercpu_time_millis_testing: 3.211, usercpu_time_millis_training: 214.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.7551, kb_relative_information_score: -2282.3112, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9726, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.9797, scimark_benchmark: 1747.742, usercpu_time_millis: 141.589, usercpu_time_millis_testing: 9.62, usercpu_time_millis_training: 131.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -11.939, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1845.7222, usercpu_time_millis: 54.732, usercpu_time_millis_testing: 5.087, usercpu_time_millis_training: 49.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6804, f_measure: 0.771, kappa: 0.067, kb_relative_information_score: -3894.6868, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7917, predictive_accuracy: 0.8335, prior_entropy: 0.6541, recall: 0.8335, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9685, scimark_benchmark: 1769.6387, usercpu_time_millis: 32.228, usercpu_time_millis_testing: 0.642, usercpu_time_millis_training: 31.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -0.1907, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1760.4494, usercpu_time_millis: 22.628, usercpu_time_millis_testing: 3.961, usercpu_time_millis_training: 18.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6937, f_measure: 0.758, kappa: 0.0118, kb_relative_information_score: -2339.1943, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8019, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9387, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9647, scimark_benchmark: 1730.2322, usercpu_time_millis: 518.672, usercpu_time_millis_testing: 18.164, usercpu_time_millis_training: 500.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.7712, kappa: 0.0677, kb_relative_information_score: -3440.3239, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7976, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9407, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9639, scimark_benchmark: 1835.2001, usercpu_time_millis: 449.136, usercpu_time_millis_testing: 9.47, usercpu_time_millis_training: 439.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6693, f_measure: 0.7558, kappa: 0.0029, kb_relative_information_score: -3138.0421, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.786, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9559, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.9748, scimark_benchmark: 1835.8406, usercpu_time_millis: 107.501, usercpu_time_millis_testing: 3.071, usercpu_time_millis_training: 104.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.769, kappa: 0.0581, kb_relative_information_score: -2279.8985, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7963, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9626, scimark_benchmark: 1886.4499, usercpu_time_millis: 1231.875, usercpu_time_millis_testing: 15.977, usercpu_time_millis_training: 1215.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.7559, kappa: 0.0031, kb_relative_information_score: -2245.5901, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7989, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9424, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9647, scimark_benchmark: 1722.035, usercpu_time_millis: 33.999, usercpu_time_millis_testing: 0.989, usercpu_time_millis_training: 33.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -50.0142, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1751.8008, usercpu_time_millis: 6.272, usercpu_time_millis_testing: 0.727, usercpu_time_millis_training: 5.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.7585, kappa: 0.0141, kb_relative_information_score: -2539.2389, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7805, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.966, scimark_benchmark: 1738.6937, usercpu_time_millis: 966.338, usercpu_time_millis_testing: 18.965, usercpu_time_millis_training: 947.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.769, kappa: 0.058, kb_relative_information_score: -2242.8458, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.796, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.927, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9616, scimark_benchmark: 1858.1494, usercpu_time_millis: 884.933, usercpu_time_millis_testing: 11.876, usercpu_time_millis_training: 873.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, f_measure: 0.7709, kappa: 0.0665, kb_relative_information_score: -2367.8126, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7935, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9245, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9644, scimark_benchmark: 1770.9247, usercpu_time_millis: 559.358, usercpu_time_millis_testing: 5.28, usercpu_time_millis_training: 554.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.698, f_measure: 0.7618, kappa: 0.0274, kb_relative_information_score: -2204.2091, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8007, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9306, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9615, scimark_benchmark: 1726.8544, usercpu_time_millis: 515.67, usercpu_time_millis_testing: 11.615, usercpu_time_millis_training: 504.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, f_measure: 0.7683, kappa: 0.0551, kb_relative_information_score: -2867.9581, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7977, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9349, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.9619, scimark_benchmark: 1857.1082, usercpu_time_millis: 360.949, usercpu_time_millis_testing: 11.48, usercpu_time_millis_training: 349.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.7652, kappa: 0.0418, kb_relative_information_score: -2754.1016, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7979, predictive_accuracy: 0.8334, prior_entropy: 0.6541, recall: 0.8334, relative_absolute_error: 0.9361, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9634, scimark_benchmark: 1846.7651, usercpu_time_millis: 301.038, usercpu_time_millis_testing: 10.322, usercpu_time_millis_training: 290.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.7586, kappa: 0.0145, kb_relative_information_score: -2435.4434, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8048, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9382, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9653, scimark_benchmark: 1732.8983, usercpu_time_millis: 141.768, usercpu_time_millis_testing: 3.972, usercpu_time_millis_training: 137.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.7611, kappa: 0.0248, kb_relative_information_score: -2556.0886, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7995, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9389, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9667, scimark_benchmark: 1855.0232, usercpu_time_millis: 137.579, usercpu_time_millis_testing: 3.546, usercpu_time_millis_training: 134.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7003, f_measure: 0.767, kappa: 0.0492, kb_relative_information_score: -2064.988, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8037, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9288, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.959, scimark_benchmark: 1751.1878, usercpu_time_millis: 112.232, usercpu_time_millis_testing: 3.162, usercpu_time_millis_training: 109.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6398, f_measure: 0.7551, kb_relative_information_score: -3505.7676, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9755, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.9849, scimark_benchmark: 1741.2149, usercpu_time_millis: 101.556, usercpu_time_millis_testing: 8.121, usercpu_time_millis_training: 93.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -37.2362, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1755.019, usercpu_time_millis: 52.517, usercpu_time_millis_testing: 2.174, usercpu_time_millis_training: 50.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.685, f_measure: 0.7551, kb_relative_information_score: -1982.0561, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.9749, scimark_benchmark: 1849.7595, usercpu_time_millis: 21.061, usercpu_time_millis_testing: 1.386, usercpu_time_millis_training: 19.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.7584, kappa: 0.0137, kb_relative_information_score: -2547.8208, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7805, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9672, scimark_benchmark: 1683.3103, usercpu_time_millis: 19.092, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 18.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, f_measure: 0.7551, kb_relative_information_score: -2640.3152, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9856, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.9897, scimark_benchmark: 1721.0251, usercpu_time_millis: 13.31, usercpu_time_millis_testing: 0.8, usercpu_time_millis_training: 12.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.639, f_measure: 0.7551, kb_relative_information_score: -1922.6024, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.9885, scimark_benchmark: 1770.9864, usercpu_time_millis: 15.747, usercpu_time_millis_testing: 1.077, usercpu_time_millis_training: 14.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6611, f_measure: 0.7551, kb_relative_information_score: -2709.0722, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.9828, scimark_benchmark: 1737.039, usercpu_time_millis: 52.363, usercpu_time_millis_testing: 3.942, usercpu_time_millis_training: 48.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.7596, kappa: 0.0188, kb_relative_information_score: -2552.3393, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7775, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9328, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9659, scimark_benchmark: 1840.7031, usercpu_time_millis: 1387.069, usercpu_time_millis_testing: 16.77, usercpu_time_millis_training: 1370.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, f_measure: 0.7562, kappa: 0.0043, kb_relative_information_score: -2694.5001, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.776, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9477, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9708, scimark_benchmark: 1809.5452, usercpu_time_millis: 323.048, usercpu_time_millis_testing: 10.789, usercpu_time_millis_training: 312.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.7551, kb_relative_information_score: -2370.1411, mean_absolute_error: 0.2683, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9577, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9716, scimark_benchmark: 1853.0023, usercpu_time_millis: 190.052, usercpu_time_millis_testing: 11.545, usercpu_time_millis_training: 178.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6836, f_measure: 0.758, kappa: 0.0118, kb_relative_information_score: -2542.5894, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7964, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9457, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.9689, scimark_benchmark: 1774.2302, usercpu_time_millis: 241.057, usercpu_time_millis_testing: 12.191, usercpu_time_millis_training: 228.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.7567, kappa: 0.0065, kb_relative_information_score: -1964.9589, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.823, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9558, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9668, scimark_benchmark: 1809.2088, usercpu_time_millis: 123.04, usercpu_time_millis_testing: 10.082, usercpu_time_millis_training: 112.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6223, f_measure: 0.7551, kb_relative_information_score: -2278.6667, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9849, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.9889, scimark_benchmark: 740.6137, usercpu_time_millis: 199.009, usercpu_time_millis_testing: 12.552, usercpu_time_millis_training: 186.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6787, f_measure: 0.7552, kappa: 0.0001, kb_relative_information_score: -2779.9818, mean_absolute_error: 0.2663, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7477, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9507, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.9713, scimark_benchmark: 1764.5711, usercpu_time_millis: 91.825, usercpu_time_millis_testing: 2.378, usercpu_time_millis_training: 89.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6626, f_measure: 0.7551, kb_relative_information_score: -1575.977, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9834, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.9863, scimark_benchmark: 1830.1032, usercpu_time_millis: 40.804, usercpu_time_millis_testing: 4.797, usercpu_time_millis_training: 36.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.7617, kappa: 0.0272, kb_relative_information_score: -2516.5947, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8004, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9645, scimark_benchmark: 1783.1283, usercpu_time_millis: 77.918, usercpu_time_millis_testing: 0.982, usercpu_time_millis_training: 76.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -15.1025, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 740.0501, usercpu_time_millis: 32.148, usercpu_time_millis_testing: 2.692, usercpu_time_millis_training: 29.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: -2727.4978, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7397, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9518, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9709, scimark_benchmark: 1770.1171, usercpu_time_millis: 12.488, usercpu_time_millis_testing: 0.515, usercpu_time_millis_training: 11.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.7588, kappa: 0.0153, kb_relative_information_score: -2645.1605, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7763, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9673, scimark_benchmark: 758.7474, usercpu_time_millis: 1511.712, usercpu_time_millis_testing: 20.254, usercpu_time_millis_training: 1491.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.7761, kappa: 0.0897, kb_relative_information_score: -3653.2261, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7899, predictive_accuracy: 0.8335, prior_entropy: 0.6541, recall: 0.8335, relative_absolute_error: 0.9338, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.969, scimark_benchmark: 1833.8306, usercpu_time_millis: 440.885, usercpu_time_millis_testing: 4.051, usercpu_time_millis_training: 436.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.7567, kappa: 0.0065, kb_relative_information_score: -2455.4056, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7995, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9673, scimark_benchmark: 1812.6436, usercpu_time_millis: 337.34, usercpu_time_millis_testing: 13.976, usercpu_time_millis_training: 323.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6935, f_measure: 0.7551, kb_relative_information_score: -1908.0419, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9581, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.9701, scimark_benchmark: 1841.0683, usercpu_time_millis: 237.867, usercpu_time_millis_testing: 15.473, usercpu_time_millis_training: 222.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, f_measure: 0.7739, kappa: 0.0799, kb_relative_information_score: -4914.3166, mean_absolute_error: 0.2663, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7889, predictive_accuracy: 0.8332, prior_entropy: 0.6541, recall: 0.8332, relative_absolute_error: 0.9505, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.9757, scimark_benchmark: 1818.499, usercpu_time_millis: 29.858, usercpu_time_millis_testing: 0.624, usercpu_time_millis_training: 29.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6862, f_measure: 0.7697, kappa: 0.0613, kb_relative_information_score: -3517.0116, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7941, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9408, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9656, scimark_benchmark: 1816.0186, usercpu_time_millis: 39.057, usercpu_time_millis_testing: 0.946, usercpu_time_millis_training: 38.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.7587, kappa: 0.015, kb_relative_information_score: -2533.3318, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7842, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1799.4929, usercpu_time_millis: 242.448, usercpu_time_millis_testing: 4.4, usercpu_time_millis_training: 238.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6741, f_measure: 0.7551, kb_relative_information_score: -2673.8967, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9674, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.9773, scimark_benchmark: 765.8915, usercpu_time_millis: 120.741, usercpu_time_millis_testing: 7.454, usercpu_time_millis_training: 113.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6678, f_measure: 0.7555, kappa: 0.0015, kb_relative_information_score: -3172.9187, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7709, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9574, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.9756, scimark_benchmark: 1789.8596, usercpu_time_millis: 162.575, usercpu_time_millis_testing: 4.984, usercpu_time_millis_training: 157.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6192, f_measure: 0.7551, kb_relative_information_score: -3466.1634, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9787, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.9871, scimark_benchmark: 768.3633, usercpu_time_millis: 80.629, usercpu_time_millis_testing: 3.832, usercpu_time_millis_training: 76.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6803, f_measure: 0.7551, kb_relative_information_score: -2665.731, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.959, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.9732, scimark_benchmark: 1805.7907, usercpu_time_millis: 61.236, usercpu_time_millis_testing: 2.563, usercpu_time_millis_training: 58.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -37.7114, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1815.4089, usercpu_time_millis: 7.573, usercpu_time_millis_testing: 0.545, usercpu_time_millis_training: 7.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6869, f_measure: 0.7551, kb_relative_information_score: -1984.5388, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9647, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.974, scimark_benchmark: 1809.0172, usercpu_time_millis: 67.285, usercpu_time_millis_testing: 4.373, usercpu_time_millis_training: 62.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -6.9541, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1790.0497, usercpu_time_millis: 59.91, usercpu_time_millis_testing: 7.881, usercpu_time_millis_training: 52.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.688, f_measure: 0.7552, kappa: 0.0004, kb_relative_information_score: -2394.9975, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7758, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9512, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9687, scimark_benchmark: 763.17, usercpu_time_millis: 12.26, usercpu_time_millis_testing: 0.683, usercpu_time_millis_training: 11.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -8.343, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1789.6691, usercpu_time_millis: 17.124, usercpu_time_millis_testing: 2.535, usercpu_time_millis_training: 14.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: 2.1595, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1808.9103, usercpu_time_millis: 31.035, usercpu_time_millis_testing: 5.301, usercpu_time_millis_training: 25.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.7551, kb_relative_information_score: -2023.4804, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.9736, scimark_benchmark: 1840.0237, usercpu_time_millis: 11.081, usercpu_time_millis_testing: 0.636, usercpu_time_millis_training: 10.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -35.6438, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1805.7231, usercpu_time_millis: 4.049, usercpu_time_millis_testing: 0.612, usercpu_time_millis_training: 3.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, f_measure: 0.7583, kappa: 0.013, kb_relative_information_score: -2687.7942, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7686, predictive_accuracy: 0.8312, prior_entropy: 0.6541, recall: 0.8312, relative_absolute_error: 0.9361, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9676, scimark_benchmark: 1755.5153, usercpu_time_millis: 323.471, usercpu_time_millis_testing: 4.278, usercpu_time_millis_training: 319.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6839, f_measure: 0.7591, kappa: 0.0164, kb_relative_information_score: -2433.3106, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7922, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9419, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9685, scimark_benchmark: 1850.2875, usercpu_time_millis: 247.566, usercpu_time_millis_testing: 8.085, usercpu_time_millis_training: 239.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6862, f_measure: 0.758, kappa: 0.0121, kb_relative_information_score: -2451.1754, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7891, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9676, scimark_benchmark: 1848.7762, usercpu_time_millis: 223.525, usercpu_time_millis_testing: 5.471, usercpu_time_millis_training: 218.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.7591, kappa: 0.0165, kb_relative_information_score: -2545.6022, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7806, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9352, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9661, scimark_benchmark: 1849.3014, usercpu_time_millis: 235.15, usercpu_time_millis_testing: 3.657, usercpu_time_millis_training: 231.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6887, f_measure: 0.7551, kb_relative_information_score: -2352.2, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9537, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9695, scimark_benchmark: 1808.619, usercpu_time_millis: 246.563, usercpu_time_millis_testing: 18.743, usercpu_time_millis_training: 227.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.7551, kb_relative_information_score: -1858.8483, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9567, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.9689, scimark_benchmark: 1850.4852, usercpu_time_millis: 212.701, usercpu_time_millis_testing: 13.626, usercpu_time_millis_training: 199.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, f_measure: 0.779, kappa: 0.1075, kb_relative_information_score: -4800.0909, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.776, predictive_accuracy: 0.8278, prior_entropy: 0.6541, recall: 0.8278, relative_absolute_error: 0.9406, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.369, root_relative_squared_error: 0.9859, scimark_benchmark: 1850.2875, usercpu_time_millis: 163.463, usercpu_time_millis_testing: 1.769, usercpu_time_millis_training: 161.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6829, f_measure: 0.7551, kb_relative_information_score: -2537.6175, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9484, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9697, scimark_benchmark: 1844.2359, usercpu_time_millis: 182.653, usercpu_time_millis_testing: 8.204, usercpu_time_millis_training: 174.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.7709, kappa: 0.066, kb_relative_information_score: -3036.5109, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7985, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9344, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9632, scimark_benchmark: 1848.8462, usercpu_time_millis: 111.675, usercpu_time_millis_testing: 2.232, usercpu_time_millis_training: 109.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.7551, kb_relative_information_score: -1972.2234, mean_absolute_error: 0.2709, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9671, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.9755, scimark_benchmark: 1850.9434, usercpu_time_millis: 100.154, usercpu_time_millis_testing: 7.085, usercpu_time_millis_training: 93.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.7732, kappa: 0.0763, kb_relative_information_score: -3881.2654, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7974, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9435, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9657, scimark_benchmark: 1848.916, usercpu_time_millis: 72.898, usercpu_time_millis_testing: 1.875, usercpu_time_millis_training: 71.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, f_measure: 0.7551, kb_relative_information_score: -1936.583, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9588, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.9703, scimark_benchmark: 1848.8462, usercpu_time_millis: 124.046, usercpu_time_millis_testing: 11.129, usercpu_time_millis_training: 112.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.617, f_measure: 0.7551, kb_relative_information_score: -2713.5934, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.9901, scimark_benchmark: 1774.1239, usercpu_time_millis: 93.411, usercpu_time_millis_testing: 6.965, usercpu_time_millis_training: 86.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, f_measure: 0.7583, kappa: 0.0132, kb_relative_information_score: -2510.5436, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.787, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9373, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9662, scimark_benchmark: 1812.5429, usercpu_time_millis: 71.912, usercpu_time_millis_testing: 1.056, usercpu_time_millis_training: 70.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.7553, kappa: 0.0008, kb_relative_information_score: -1897.0654, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7758, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9564, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9683, scimark_benchmark: 1849.3742, usercpu_time_millis: 52.298, usercpu_time_millis_testing: 4.289, usercpu_time_millis_training: 48.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -1.4683, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1848.7304, usercpu_time_millis: 36.689, usercpu_time_millis_testing: 6.512, usercpu_time_millis_training: 30.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6617, f_measure: 0.7551, kb_relative_information_score: -3122.0224, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9718, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.981, scimark_benchmark: 1782.4598, usercpu_time_millis: 148.702, usercpu_time_millis_testing: 8.664, usercpu_time_millis_training: 140.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6387, f_measure: 0.7551, kb_relative_information_score: -3983.7557, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9722, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.9846, scimark_benchmark: 1808.182, usercpu_time_millis: 49.545, usercpu_time_millis_testing: 3.063, usercpu_time_millis_training: 46.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, f_measure: 0.7582, kappa: 0.0126, kb_relative_information_score: -2445.4643, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7949, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.94, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9672, scimark_benchmark: 1843.3605, usercpu_time_millis: 547.953, usercpu_time_millis_testing: 16.884, usercpu_time_millis_training: 531.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.7616, kappa: 0.0266, kb_relative_information_score: -2562.824, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7987, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9339, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9641, scimark_benchmark: 1842.772, usercpu_time_millis: 460.393, usercpu_time_millis_testing: 7.79, usercpu_time_millis_training: 452.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, f_measure: 0.7585, kappa: 0.0138, kb_relative_information_score: -2325.4937, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8072, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9381, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9644, scimark_benchmark: 1878.2375, usercpu_time_millis: 146.497, usercpu_time_millis_testing: 5.175, usercpu_time_millis_training: 141.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, f_measure: 0.7551, kb_relative_information_score: -1976.4114, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.9713, scimark_benchmark: 1949.8269, usercpu_time_millis: 50.183, usercpu_time_millis_testing: 3.041, usercpu_time_millis_training: 47.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6561, f_measure: 0.7551, kb_relative_information_score: -3621.4813, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9668, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.98, scimark_benchmark: 1923.9082, usercpu_time_millis: 19.662, usercpu_time_millis_testing: 0.702, usercpu_time_millis_training: 18.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -22.6039, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1943.5874, usercpu_time_millis: 14.733, usercpu_time_millis_testing: 2.085, usercpu_time_millis_training: 12.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, f_measure: 0.7561, kappa: 0.0042, kb_relative_information_score: -2415.3602, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7781, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9435, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9664, scimark_benchmark: 1844.7258, usercpu_time_millis: 27.45, usercpu_time_millis_testing: 0.855, usercpu_time_millis_training: 26.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, f_measure: 0.756, kappa: 0.0036, kb_relative_information_score: -1769.6281, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8089, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9534, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9669, scimark_benchmark: 1853.6399, usercpu_time_millis: 101.117, usercpu_time_millis_testing: 4.706, usercpu_time_millis_training: 96.411,

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