OpenML
Supervised Classification on pc3

Supervised Classification on pc3

Task 3903 Supervised Classification pc3 143129 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

143129 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: 0.5007, kb_relative_information_score: 135.1557, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.8577, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.305, root_relative_squared_error: 1.0061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 35.797, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3032, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: 35.5871, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9631, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3032, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: -401.1483, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.0502, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3034, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: 4.4737, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -110.4092, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.0133, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3032, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, kb_relative_information_score: -291.2648, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.8865, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2838, root_relative_squared_error: 0.9364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -57.3589, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.0069, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: -293.8588, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.0363, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3033, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.8581, kappa: 0.0775, kb_relative_information_score: -101.591, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8536, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 0.9212, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.9638, scimark_benchmark: 1282.0361, usercpu_time_millis: 7.008, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 6.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -16.3961, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.9986, scimark_benchmark: 1272.5193, usercpu_time_millis: 6.126, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 6.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, f_measure: 0.852, kappa: 0.0209, kb_relative_information_score: -5.7977, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.875, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.9913, scimark_benchmark: 1266.3832, usercpu_time_millis: 6.292, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 6.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -30.7529, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.9952, scimark_benchmark: 1245.0428, usercpu_time_millis: 9.471, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 9.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -29.7983, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.995, scimark_benchmark: 1256.6698, usercpu_time_millis: 10.271, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 10.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.8656, kappa: 0.1289, kb_relative_information_score: -76.3611, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8722, predictive_accuracy: 0.9002, prior_entropy: 0.478, recall: 0.9002, relative_absolute_error: 0.9014, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.9559, scimark_benchmark: 1277.5606, usercpu_time_millis: 14.806, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 14.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6804, f_measure: 0.8508, kappa: 0.0112, kb_relative_information_score: 8.2641, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.9086, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.301, root_relative_squared_error: 0.9928, scimark_benchmark: 1248.4488, usercpu_time_millis: 5.463, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 5.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.481, f_measure: 0.8492, kb_relative_information_score: 4.6616, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.303, root_relative_squared_error: 0.9995, scimark_benchmark: 1276.9892, usercpu_time_millis: 4.228, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 4.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.8606, kappa: 0.092, kb_relative_information_score: -36.3826, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8643, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9683, scimark_benchmark: 1252.5481, usercpu_time_millis: 4.98, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 4.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5801, f_measure: 0.8633, kappa: 0.1035, kb_relative_information_score: 81.2331, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8961, predictive_accuracy: 0.9028, prior_entropy: 0.478, recall: 0.9028, relative_absolute_error: 0.953, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9735, scimark_benchmark: 1255.9049, usercpu_time_millis: 14.532, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 14.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4812, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -6.385, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3041, root_relative_squared_error: 1.0032, scimark_benchmark: 1283.8816, usercpu_time_millis: 4.068, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 3.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.8492, kb_relative_information_score: 3.3837, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.303, root_relative_squared_error: 0.9997, scimark_benchmark: 1285.3809, usercpu_time_millis: 5.22, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 5.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5296, f_measure: 0.8492, kb_relative_information_score: 2.7394, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3033, root_relative_squared_error: 1.0006, scimark_benchmark: 1254.2793, usercpu_time_millis: 6.416, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 6.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6576, f_measure: 0.8508, kappa: 0.0112, kb_relative_information_score: -43.4719, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.9086, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.9941, scimark_benchmark: 1285.5102, usercpu_time_millis: 17.61, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 17.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4839, f_measure: 0.8508, kappa: 0.0112, kb_relative_information_score: 4.1115, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.9086, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.9975, scimark_benchmark: 1245.0925, usercpu_time_millis: 4.711, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 4.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -31.2831, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9809, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.9886, scimark_benchmark: 1253.695, usercpu_time_millis: 6.802, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 6.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7054, f_measure: 0.852, kappa: 0.0209, kb_relative_information_score: -22.7982, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.875, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9748, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.9853, scimark_benchmark: 1289.4412, usercpu_time_millis: 5.802, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 5.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -3.9526, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3041, root_relative_squared_error: 1.0031, scimark_benchmark: 1241.4712, usercpu_time_millis: 4.734, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 4.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, f_measure: 0.8585, kappa: 0.0791, kb_relative_information_score: -186.7844, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8559, predictive_accuracy: 0.8964, prior_entropy: 0.478, recall: 0.8964, relative_absolute_error: 0.8871, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9492, scimark_benchmark: 1257.7974, usercpu_time_millis: 9.016, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 8.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5316, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -3.9427, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3041, root_relative_squared_error: 1.0031, scimark_benchmark: 1286.6977, usercpu_time_millis: 4.078, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 3.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7255, f_measure: 0.8622, kappa: 0.0985, kb_relative_information_score: 27.7067, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8789, predictive_accuracy: 0.9008, prior_entropy: 0.478, recall: 0.9008, relative_absolute_error: 0.9515, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.9777, scimark_benchmark: 1284.811, usercpu_time_millis: 17.956, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 17.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.8594, kappa: 0.0783, kb_relative_information_score: 45.9155, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8726, predictive_accuracy: 0.8996, prior_entropy: 0.478, recall: 0.8996, relative_absolute_error: 0.9562, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.9789, scimark_benchmark: 1277.0574, usercpu_time_millis: 17.226, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 16.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5381, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -3.7569, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.304, root_relative_squared_error: 1.003, scimark_benchmark: 1285.7447, usercpu_time_millis: 3.78, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 3.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.8581, kappa: 0.0775, kb_relative_information_score: -66.0394, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8536, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 0.9168, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.9453, scimark_benchmark: 1277.9488, usercpu_time_millis: 4.243, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 4.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.703, f_measure: 0.8513, kappa: 0.0182, kb_relative_information_score: -24.7995, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8475, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.9736, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.299, root_relative_squared_error: 0.9865, scimark_benchmark: 1283.6339, usercpu_time_millis: 4.714, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 4.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6436, f_measure: 0.8516, kappa: 0.0195, kb_relative_information_score: -54.6562, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8578, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9892, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.9926, scimark_benchmark: 1252.4841, usercpu_time_millis: 43.635, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 43.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6846, f_measure: 0.86, kappa: 0.0852, kb_relative_information_score: -171.1804, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8676, predictive_accuracy: 0.8989, prior_entropy: 0.478, recall: 0.8989, relative_absolute_error: 0.916, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.9663, scimark_benchmark: 1281.8101, usercpu_time_millis: 4.635, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 4.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4567, f_measure: 0.8492, kb_relative_information_score: 2.3391, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.303, root_relative_squared_error: 0.9996, scimark_benchmark: 1285.8468, usercpu_time_millis: 4.377, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 4.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.861, kappa: 0.0936, kb_relative_information_score: -73.8641, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8674, predictive_accuracy: 0.8989, prior_entropy: 0.478, recall: 0.8989, relative_absolute_error: 0.9317, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2937, root_relative_squared_error: 0.969, scimark_benchmark: 1277.4433, usercpu_time_millis: 15.767, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 15.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5127, f_measure: 0.8492, kb_relative_information_score: 3.0852, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9999, scimark_benchmark: 1284.5781, usercpu_time_millis: 5.184, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 5.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6658, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -62.3358, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.9918, scimark_benchmark: 1254.1684, usercpu_time_millis: 538.706, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 538.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.8492, kb_relative_information_score: 3.7258, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.303, root_relative_squared_error: 0.9996, scimark_benchmark: 1279.3215, usercpu_time_millis: 6.048, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 5.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7012, f_measure: 0.8536, kappa: 0.0368, kb_relative_information_score: -16.6414, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.853, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.9585, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.9842, scimark_benchmark: 1282.0935, usercpu_time_millis: 6.634, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 6.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5316, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -3.777, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3041, root_relative_squared_error: 1.003, scimark_benchmark: 1284.6417, usercpu_time_millis: 6.361, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 6.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.8496, kappa: 0.0116, kb_relative_information_score: -34.0496, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8268, predictive_accuracy: 0.8938, prior_entropy: 0.478, recall: 0.8938, relative_absolute_error: 0.9542, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.977, scimark_benchmark: 1284.0857, usercpu_time_millis: 9.517, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 9.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7254, f_measure: 0.8501, kappa: 0.0085, kb_relative_information_score: -4.954, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8403, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.9775, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.9893, scimark_benchmark: 1249.0983, usercpu_time_millis: 7.927, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 7.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5372, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -3.7023, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3041, root_relative_squared_error: 1.0031, scimark_benchmark: 1255.145, usercpu_time_millis: 5.778, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 5.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.8652, kappa: 0.1272, kb_relative_information_score: -177.6207, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8697, predictive_accuracy: 0.8996, prior_entropy: 0.478, recall: 0.8996, relative_absolute_error: 0.8827, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.9465, scimark_benchmark: 1252.5372, usercpu_time_millis: 10.79, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 10.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7282, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -30.4451, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9849, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.989, scimark_benchmark: 1251.9194, usercpu_time_millis: 8.638, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 8.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5111, f_measure: 0.8492, kb_relative_information_score: -0.9754, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9999, scimark_benchmark: 1251.877, usercpu_time_millis: 9.523, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 9.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.571, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 88.0773, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8996, predictive_accuracy: 0.904, prior_entropy: 0.478, recall: 0.904, relative_absolute_error: 0.9477, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.9714, scimark_benchmark: 1283.1905, usercpu_time_millis: 16.643, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 16.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, f_measure: 0.8532, kappa: 0.0303, kb_relative_information_score: -63.4912, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8686, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.9706, scimark_benchmark: 1286.3262, usercpu_time_millis: 5.181, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 5.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4803, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -6.077, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3041, root_relative_squared_error: 1.0032, scimark_benchmark: 1287.501, usercpu_time_millis: 5.392, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 5.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7436, f_measure: 0.855, kappa: 0.0425, kb_relative_information_score: -42.6561, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8896, predictive_accuracy: 0.8996, prior_entropy: 0.478, recall: 0.8996, relative_absolute_error: 0.9647, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.9757, scimark_benchmark: 1270.8295, usercpu_time_millis: 5.348, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 5.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.8528, kappa: 0.029, kb_relative_information_score: -36.8006, mean_absolute_error: 0.1758, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8583, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.9702, scimark_benchmark: 1271.2435, usercpu_time_millis: 5.398, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 5.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.717, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -30.1875, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9841, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3, root_relative_squared_error: 0.9897, scimark_benchmark: 1236.4016, usercpu_time_millis: 6.283, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 6.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6626, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -62.5471, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9857, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.9918, scimark_benchmark: 1284.5028, usercpu_time_millis: 532.108, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 532.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4533, f_measure: 0.8492, kb_relative_information_score: 3.4854, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.9987, scimark_benchmark: 1250.8609, usercpu_time_millis: 4.908, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 4.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5317, f_measure: 0.8492, kb_relative_information_score: 5.1706, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.9985, scimark_benchmark: 1252.0627, usercpu_time_millis: 6.587, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 6.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.737, f_measure: 0.852, kappa: 0.0209, kb_relative_information_score: -36.468, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.875, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9707, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.297, root_relative_squared_error: 0.9799, scimark_benchmark: 1279.2108, usercpu_time_millis: 6.082, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 5.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5216, f_measure: 0.8492, kb_relative_information_score: 2.2347, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9999, scimark_benchmark: 1286.0252, usercpu_time_millis: 8.113, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 8.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6793, f_measure: 0.8594, kappa: 0.0783, kb_relative_information_score: 0.5476, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8726, predictive_accuracy: 0.8996, prior_entropy: 0.478, recall: 0.8996, relative_absolute_error: 0.9527, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.9825, scimark_benchmark: 1273.7107, usercpu_time_millis: 6.741, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 6.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6657, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -64.1011, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9859, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.9917, scimark_benchmark: 1279.8686, usercpu_time_millis: 791.339, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 791.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.8669, kappa: 0.1383, kb_relative_information_score: -31.6242, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8744, predictive_accuracy: 0.9008, prior_entropy: 0.478, recall: 0.9008, relative_absolute_error: 0.9211, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.9661, scimark_benchmark: 1278.9252, usercpu_time_millis: 16.754, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 16.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5318, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -3.7925, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3041, root_relative_squared_error: 1.003, scimark_benchmark: 1281.1375, usercpu_time_millis: 4.57, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 4.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, f_measure: 0.8657, kappa: 0.1217, kb_relative_information_score: 67.9605, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8937, predictive_accuracy: 0.9034, prior_entropy: 0.478, recall: 0.9034, relative_absolute_error: 0.9487, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9734, scimark_benchmark: 1252.3551, usercpu_time_millis: 18.435, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 18.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5213, f_measure: 0.8492, kb_relative_information_score: 3.9887, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.303, root_relative_squared_error: 0.9996, scimark_benchmark: 1280.7593, usercpu_time_millis: 5.006, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 4.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7691, f_measure: 0.8636, kappa: 0.1205, kb_relative_information_score: -99.6207, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8616, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.8943, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.9578, scimark_benchmark: 1275.7797, usercpu_time_millis: 7.718, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 7.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7644, f_measure: 0.8618, kappa: 0.0968, kb_relative_information_score: 3.7224, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8746, predictive_accuracy: 0.9002, prior_entropy: 0.478, recall: 0.9002, relative_absolute_error: 0.9381, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2959, root_relative_squared_error: 0.9761, scimark_benchmark: 1253.0187, usercpu_time_millis: 8.884, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 8.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7518, f_measure: 0.8632, kappa: 0.1067, kb_relative_information_score: -15.3802, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8774, predictive_accuracy: 0.9008, prior_entropy: 0.478, recall: 0.9008, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9735, scimark_benchmark: 1251.6754, usercpu_time_millis: 17.729, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 17.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6654, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: 1.0583, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9997, scimark_benchmark: 1249.3144, usercpu_time_millis: 5.992, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 5.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5371, f_measure: 0.8492, kb_relative_information_score: -7.2431, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3033, root_relative_squared_error: 1.0006, scimark_benchmark: 1288.2814, usercpu_time_millis: 7.063, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 6.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4575, f_measure: 0.8492, kb_relative_information_score: 2.3202, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.303, root_relative_squared_error: 0.9996, scimark_benchmark: 1247.4893, usercpu_time_millis: 4.665, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 4.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7244, f_measure: 0.852, kappa: 0.0209, kb_relative_information_score: -5.8546, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.875, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9811, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.9919, scimark_benchmark: 1289.6245, usercpu_time_millis: 5.822, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 5.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.526, f_measure: 0.8492, kb_relative_information_score: 3.3323, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1, scimark_benchmark: 1252.9734, usercpu_time_millis: 5.049, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 4.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.8513, kappa: 0.0182, kb_relative_information_score: -14.4265, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8475, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.9717, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.9877, scimark_benchmark: 1282.6493, usercpu_time_millis: 4.832, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 4.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6531, f_measure: 0.8486, kappa: -0.0025, kb_relative_information_score: -84.6708, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8056, predictive_accuracy: 0.8964, prior_entropy: 0.478, recall: 0.8964, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.997, scimark_benchmark: 1281.0947, usercpu_time_millis: 21.27, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 21.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.859, kappa: 0.0767, kb_relative_information_score: -32.0092, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.868, predictive_accuracy: 0.8989, prior_entropy: 0.478, recall: 0.8989, relative_absolute_error: 0.9148, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.287, root_relative_squared_error: 0.9468, scimark_benchmark: 1239.4763, usercpu_time_millis: 4.347, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 4.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.8678, kappa: 0.1459, kb_relative_information_score: -75.8687, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8741, predictive_accuracy: 0.9008, prior_entropy: 0.478, recall: 0.9008, relative_absolute_error: 0.8919, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2883, root_relative_squared_error: 0.951, scimark_benchmark: 1254.7941, usercpu_time_millis: 15.052, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 14.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6602, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -33.4502, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.9945, scimark_benchmark: 1256.4929, usercpu_time_millis: 13.614, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 13.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6445, f_measure: 0.8508, kappa: 0.0112, kb_relative_information_score: -48.2257, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.9086, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.9921, scimark_benchmark: 1284.8404, usercpu_time_millis: 35.704, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 35.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -2.9779, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.304, root_relative_squared_error: 1.003, scimark_benchmark: 1278.2554, usercpu_time_millis: 5.471, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 5.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, f_measure: 0.8565, kappa: 0.0621, kb_relative_information_score: -78.6393, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8536, predictive_accuracy: 0.8964, prior_entropy: 0.478, recall: 0.8964, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.9548, scimark_benchmark: 1282.77, usercpu_time_millis: 6.442, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 6.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7184, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -34.1106, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.982, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.9879, scimark_benchmark: 1286.801, usercpu_time_millis: 6.745, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 6.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4453, f_measure: 0.8508, kappa: 0.0112, kb_relative_information_score: 5.9493, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.9086, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.9975, scimark_benchmark: 1290.7374, usercpu_time_millis: 4.879, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 4.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4827, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -5.0765, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3042, root_relative_squared_error: 1.0034, scimark_benchmark: 1255.4891, usercpu_time_millis: 7.459, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 7.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5388, f_measure: 0.8492, kb_relative_information_score: 0.6857, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9998, scimark_benchmark: 1259.8209, usercpu_time_millis: 8.265, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 8.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.662, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -38.8103, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.995, scimark_benchmark: 1284.8008, usercpu_time_millis: 14.181, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 14.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, f_measure: 0.8657, kappa: 0.1217, kb_relative_information_score: 72.086, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8937, predictive_accuracy: 0.9034, prior_entropy: 0.478, recall: 0.9034, relative_absolute_error: 0.9484, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.9726, scimark_benchmark: 1269.9515, usercpu_time_millis: 20.36, usercpu_time_millis_testing: 0.305, usercpu_time_millis_training: 20.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -33.826, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.9946, scimark_benchmark: 1279.3523, usercpu_time_millis: 11.949, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 11.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7205, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -40.0923, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9774, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.9844, scimark_benchmark: 1257.6971, usercpu_time_millis: 6.578, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 6.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, f_measure: 0.8633, kappa: 0.1035, kb_relative_information_score: 81.8073, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8961, predictive_accuracy: 0.9028, prior_entropy: 0.478, recall: 0.9028, relative_absolute_error: 0.9525, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.295, root_relative_squared_error: 0.9732, scimark_benchmark: 1255.3682, usercpu_time_millis: 16.902, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 16.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, f_measure: 0.8486, kappa: -0.0025, kb_relative_information_score: -70.4722, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8056, predictive_accuracy: 0.8964, prior_entropy: 0.478, recall: 0.8964, relative_absolute_error: 0.982, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9933, scimark_benchmark: 1240.1197, usercpu_time_millis: 15.168, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 15.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5883, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 88.4235, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8996, predictive_accuracy: 0.904, prior_entropy: 0.478, recall: 0.904, relative_absolute_error: 0.9467, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.971, scimark_benchmark: 1259.3109, usercpu_time_millis: 16.798, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 16.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6823, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -30.2883, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.9947, scimark_benchmark: 1254.443, usercpu_time_millis: 10.634, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 10.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4655, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -4.8996, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3042, root_relative_squared_error: 1.0034, scimark_benchmark: 1273.9881, usercpu_time_millis: 5.621, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 5.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.8673, kappa: 0.1401, kb_relative_information_score: -40.4, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.877, predictive_accuracy: 0.9015, prior_entropy: 0.478, recall: 0.9015, relative_absolute_error: 0.9164, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2918, root_relative_squared_error: 0.9625, scimark_benchmark: 1270.9324, usercpu_time_millis: 16.984, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 16.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5285, f_measure: 0.8501, kappa: 0.0085, kb_relative_information_score: 1.9103, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8403, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.9988, scimark_benchmark: 1256.3719, usercpu_time_millis: 4.858, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 4.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5355, f_measure: 0.8492, kb_relative_information_score: 4.4349, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.999, scimark_benchmark: 1250.6614, usercpu_time_millis: 5.76, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 5.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.8492, kb_relative_information_score: 2.0138, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9999, scimark_benchmark: 1279.2278, usercpu_time_millis: 7.176, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 7.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4613, f_measure: 0.8492, kb_relative_information_score: 2.2957, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.303, root_relative_squared_error: 0.9996, scimark_benchmark: 1283.2119, usercpu_time_millis: 5.124, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 5.004,

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