OpenML
Supervised Classification on wilt

Supervised Classification on wilt

Task 9889 Supervised Classification wilt 59008 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9745, kappa: 0.7329, kb_relative_information_score: 2128.4775, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9748, predictive_accuracy: 0.9762, prior_entropy: 0.3037, recall: 0.9762, relative_absolute_error: 0.4011, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.5629, scimark_benchmark: 1865.7043, usercpu_time_millis: 18.3, usercpu_time_millis_testing: 1.214, usercpu_time_millis_training: 17.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9636, kappa: 0.5932, kb_relative_information_score: 1588.9979, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9694, predictive_accuracy: 0.9692, prior_entropy: 0.3037, recall: 0.9692, relative_absolute_error: 0.5535, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1477, root_relative_squared_error: 0.6539, scimark_benchmark: 1866.6776, usercpu_time_millis: 12.299, usercpu_time_millis_testing: 1.293, usercpu_time_millis_training: 11.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9736, kappa: 0.7195, kb_relative_information_score: 2346.5818, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.975, predictive_accuracy: 0.976, prior_entropy: 0.3037, recall: 0.976, relative_absolute_error: 0.4101, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1282, root_relative_squared_error: 0.5677, scimark_benchmark: 1858.9715, usercpu_time_millis: 8.886, usercpu_time_millis_testing: 0.716, usercpu_time_millis_training: 8.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9711, kappa: 0.6953, kb_relative_information_score: 1832.3175, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9715, predictive_accuracy: 0.9733, prior_entropy: 0.3037, recall: 0.9733, relative_absolute_error: 0.4515, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.136, root_relative_squared_error: 0.6022, scimark_benchmark: 1873.5293, usercpu_time_millis: 11.206, usercpu_time_millis_testing: 0.695, usercpu_time_millis_training: 10.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9778, kappa: 0.7682, kb_relative_information_score: 2512.3219, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9785, predictive_accuracy: 0.9793, prior_entropy: 0.3037, recall: 0.9793, relative_absolute_error: 0.3451, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.5318, scimark_benchmark: 1863.0003, usercpu_time_millis: 0.759, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.9198, kb_relative_information_score: -1005.3467, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8114, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.843, scimark_benchmark: 1854.7429, usercpu_time_millis: 9.387, usercpu_time_millis_testing: 0.919, usercpu_time_millis_training: 8.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.9198, kb_relative_information_score: -3263.5719, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9009, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.9202, scimark_benchmark: 1863.4543, usercpu_time_millis: 15.867, usercpu_time_millis_testing: 1.045, usercpu_time_millis_training: 14.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.9198, kb_relative_information_score: 1.6773, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1872.8797, usercpu_time_millis: 2.897, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 2.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.934, kappa: 0.2012, kb_relative_information_score: -73.5657, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9515, predictive_accuracy: 0.9521, prior_entropy: 0.3037, recall: 0.9521, relative_absolute_error: 0.7298, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.7833, scimark_benchmark: 1868.4434, usercpu_time_millis: 0.719, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.972, kappa: 0.7098, kb_relative_information_score: 1951.4077, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9719, predictive_accuracy: 0.9738, prior_entropy: 0.3037, recall: 0.9738, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.5918, scimark_benchmark: 1867.725, usercpu_time_millis: 15.194, usercpu_time_millis_testing: 0.846, usercpu_time_millis_training: 14.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.9198, kb_relative_information_score: -9.0769, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1869.7107, usercpu_time_millis: 6.153, usercpu_time_millis_testing: 0.78, usercpu_time_millis_training: 5.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9704, kappa: 0.6819, kb_relative_information_score: 1720.2332, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9719, predictive_accuracy: 0.9733, prior_entropy: 0.3037, recall: 0.9733, relative_absolute_error: 0.4778, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.6179, scimark_benchmark: 1871.8964, usercpu_time_millis: 5.113, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 4.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9811, kappa: 0.8067, kb_relative_information_score: 2808.5242, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9813, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.321, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.5051, scimark_benchmark: 1856.9125, usercpu_time_millis: 14.86, usercpu_time_millis_testing: 0.971, usercpu_time_millis_training: 13.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.9198, kb_relative_information_score: -2017.9558, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.9699, scimark_benchmark: 1855.1969, usercpu_time_millis: 7.639, usercpu_time_millis_testing: 0.767, usercpu_time_millis_training: 6.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9758, kappa: 0.7559, kb_relative_information_score: 2077.3276, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9754, predictive_accuracy: 0.9764, prior_entropy: 0.3037, recall: 0.9764, relative_absolute_error: 0.3984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.133, root_relative_squared_error: 0.5886, scimark_benchmark: 1841.5568, usercpu_time_millis: 15.327, usercpu_time_millis_testing: 0.725, usercpu_time_millis_training: 14.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9751, kappa: 0.7378, kb_relative_information_score: 2363.7254, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.976, predictive_accuracy: 0.9771, prior_entropy: 0.3037, recall: 0.9771, relative_absolute_error: 0.3745, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.5498, scimark_benchmark: 1757.4787, usercpu_time_millis: 14.85, usercpu_time_millis_testing: 1.187, usercpu_time_millis_training: 13.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9682, kappa: 0.6724, kb_relative_information_score: 1153.4511, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9676, predictive_accuracy: 0.9698, prior_entropy: 0.3037, recall: 0.9698, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.7001, scimark_benchmark: 1864.0845, usercpu_time_millis: 6.489, usercpu_time_millis_testing: 0.235, usercpu_time_millis_training: 6.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.9198, kb_relative_information_score: -1312.3815, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9772, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.9809, scimark_benchmark: 1869.4196, usercpu_time_millis: 2.979, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 2.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9834, kappa: 0.8356, kb_relative_information_score: 2926.8981, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9833, predictive_accuracy: 0.9837, prior_entropy: 0.3037, recall: 0.9837, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.4865, scimark_benchmark: 1872.8797, usercpu_time_millis: 8.66, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 8.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.9198, kb_relative_information_score: -11.7195, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.7492, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.7945, scimark_benchmark: 1877.2162, usercpu_time_millis: 8.093, usercpu_time_millis_testing: 0.624, usercpu_time_millis_training: 7.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9838, kappa: 0.8373, kb_relative_information_score: 2960.1468, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9837, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.2768, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.4847, scimark_benchmark: 1872.3546, usercpu_time_millis: 14.38, usercpu_time_millis_testing: 0.854, usercpu_time_millis_training: 13.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9688, kappa: 0.6587, kb_relative_information_score: 2038.3663, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9723, predictive_accuracy: 0.9727, prior_entropy: 0.3037, recall: 0.9727, relative_absolute_error: 0.4759, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.6058, scimark_benchmark: 1858.5184, usercpu_time_millis: 5.371, usercpu_time_millis_testing: 0.467, usercpu_time_millis_training: 4.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9795, kappa: 0.7882, kb_relative_information_score: 2509.2696, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9797, predictive_accuracy: 0.9806, prior_entropy: 0.3037, recall: 0.9806, relative_absolute_error: 0.3488, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1188, root_relative_squared_error: 0.5261, scimark_benchmark: 1871.4349, usercpu_time_millis: 9.418, usercpu_time_millis_testing: 0.595, usercpu_time_millis_training: 8.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9801, kappa: 0.7937, kb_relative_information_score: 2674.5907, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9804, predictive_accuracy: 0.9812, prior_entropy: 0.3037, recall: 0.9812, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1164, root_relative_squared_error: 0.5153, scimark_benchmark: 1870.8644, usercpu_time_millis: 2.389, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 2.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 4.8877, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1876.6882, usercpu_time_millis: 4.023, usercpu_time_millis_testing: 0.83, usercpu_time_millis_training: 3.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.9198, kb_relative_information_score: -1240.8659, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.9718, scimark_benchmark: 1871.3742, usercpu_time_millis: 11.87, usercpu_time_millis_testing: 1.354, usercpu_time_millis_training: 10.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9655, kappa: 0.626, kb_relative_information_score: 969.2589, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9672, predictive_accuracy: 0.9694, prior_entropy: 0.3037, recall: 0.9694, relative_absolute_error: 0.5976, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.6985, scimark_benchmark: 1848.8955, usercpu_time_millis: 15.165, usercpu_time_millis_testing: 1.027, usercpu_time_millis_training: 14.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.9198, kb_relative_information_score: -0.8117, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1870.9768, usercpu_time_millis: 3.943, usercpu_time_millis_testing: 0.71, usercpu_time_millis_training: 3.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.9198, kb_relative_information_score: 5.1605, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1868.6447, usercpu_time_millis: 1.351, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 1.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9723, kappa: 0.7008, kb_relative_information_score: 2210.2916, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9746, predictive_accuracy: 0.9752, prior_entropy: 0.3037, recall: 0.9752, relative_absolute_error: 0.4424, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1327, root_relative_squared_error: 0.5874, scimark_benchmark: 1855.7107, usercpu_time_millis: 4.283, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 3.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.9198, kb_relative_information_score: -2342.1451, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9708, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.9761, scimark_benchmark: 1866.6776, usercpu_time_millis: 5.099, usercpu_time_millis_testing: 0.453, usercpu_time_millis_training: 4.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9668, kappa: 0.6425, kb_relative_information_score: 1005.3056, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.968, predictive_accuracy: 0.9702, prior_entropy: 0.3037, recall: 0.9702, relative_absolute_error: 0.597, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.7045, scimark_benchmark: 1863.6877, usercpu_time_millis: 16.331, usercpu_time_millis_testing: 1.303, usercpu_time_millis_training: 15.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9673, kappa: 0.64, kb_relative_information_score: 1899.3459, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9714, predictive_accuracy: 0.9717, prior_entropy: 0.3037, recall: 0.9717, relative_absolute_error: 0.5019, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.14, root_relative_squared_error: 0.6197, scimark_benchmark: 1864.0845, usercpu_time_millis: 12.257, usercpu_time_millis_testing: 1.199, usercpu_time_millis_training: 11.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9699, kappa: 0.6794, kb_relative_information_score: 1856.5124, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9709, predictive_accuracy: 0.9727, prior_entropy: 0.3037, recall: 0.9727, relative_absolute_error: 0.4607, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.5998, scimark_benchmark: 1865.6428, usercpu_time_millis: 14.458, usercpu_time_millis_testing: 0.984, usercpu_time_millis_training: 13.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9736, kappa: 0.7177, kb_relative_information_score: 2301.0643, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9756, predictive_accuracy: 0.9762, prior_entropy: 0.3037, recall: 0.9762, relative_absolute_error: 0.4203, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.5718, scimark_benchmark: 1861.896, usercpu_time_millis: 5.152, usercpu_time_millis_testing: 0.556, usercpu_time_millis_training: 4.596,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9822, kappa: 0.8185, kb_relative_information_score: 2458.0537, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9822, predictive_accuracy: 0.9828, prior_entropy: 0.3037, recall: 0.9828, relative_absolute_error: 0.3487, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.5303, scimark_benchmark: 1877.2162, usercpu_time_millis: 31.228, usercpu_time_millis_testing: 1.426, usercpu_time_millis_training: 29.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9705, kappa: 0.6932, kb_relative_information_score: 1898.2351, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9702, predictive_accuracy: 0.9723, prior_entropy: 0.3037, recall: 0.9723, relative_absolute_error: 0.4479, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.6074, scimark_benchmark: 1872.9496, usercpu_time_millis: 28.133, usercpu_time_millis_testing: 1.319, usercpu_time_millis_training: 26.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9787, kappa: 0.7784, kb_relative_information_score: 2316.1056, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9794, predictive_accuracy: 0.9802, prior_entropy: 0.3037, recall: 0.9802, relative_absolute_error: 0.3897, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.5461, scimark_benchmark: 1873.4078, usercpu_time_millis: 39.541, usercpu_time_millis_testing: 2.293, usercpu_time_millis_training: 37.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.983, kappa: 0.8327, kb_relative_information_score: 2836.9179, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9829, predictive_accuracy: 0.9831, prior_entropy: 0.3037, recall: 0.9831, relative_absolute_error: 0.2679, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.5099, scimark_benchmark: 1812.2123, usercpu_time_millis: 52.6, usercpu_time_millis_testing: 1.834, usercpu_time_millis_training: 50.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9735, kappa: 0.7171, kb_relative_information_score: 2126.8527, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9752, predictive_accuracy: 0.976, prior_entropy: 0.3037, recall: 0.976, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1297, root_relative_squared_error: 0.5743, scimark_benchmark: 1869.1727, usercpu_time_millis: 25.722, usercpu_time_millis_testing: 1.887, usercpu_time_millis_training: 23.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.972, kappa: 0.6998, kb_relative_information_score: 2275.3535, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9738, predictive_accuracy: 0.9748, prior_entropy: 0.3037, recall: 0.9748, relative_absolute_error: 0.434, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.5758, scimark_benchmark: 1877.2162, usercpu_time_millis: 23.24, usercpu_time_millis_testing: 1.821, usercpu_time_millis_training: 21.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9681, kappa: 0.6711, kb_relative_information_score: 1182.5263, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9675, predictive_accuracy: 0.9698, prior_entropy: 0.3037, recall: 0.9698, relative_absolute_error: 0.523, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.6853, scimark_benchmark: 1816.0607, usercpu_time_millis: 36.486, usercpu_time_millis_testing: 1.812, usercpu_time_millis_training: 34.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9826, kappa: 0.8229, kb_relative_information_score: 2876.725, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9826, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.2974, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.4992, scimark_benchmark: 1811.1832, usercpu_time_millis: 47.573, usercpu_time_millis_testing: 2.729, usercpu_time_millis_training: 44.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.98, kappa: 0.7944, kb_relative_information_score: 2697.7078, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9801, predictive_accuracy: 0.981, prior_entropy: 0.3037, recall: 0.981, relative_absolute_error: 0.3273, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1149, root_relative_squared_error: 0.5088, scimark_benchmark: 1750.3253, usercpu_time_millis: 28.739, usercpu_time_millis_testing: 2.075, usercpu_time_millis_training: 26.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9836, kappa: 0.8374, kb_relative_information_score: 2873.3289, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9835, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2671, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1112, root_relative_squared_error: 0.4924, scimark_benchmark: 1741.2968, usercpu_time_millis: 23.768, usercpu_time_millis_testing: 0.921, usercpu_time_millis_training: 22.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9805, kappa: 0.7991, kb_relative_information_score: 2772.7531, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9809, predictive_accuracy: 0.9816, prior_entropy: 0.3037, recall: 0.9816, relative_absolute_error: 0.3296, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.5105, scimark_benchmark: 1823.238, usercpu_time_millis: 38.202, usercpu_time_millis_testing: 2.712, usercpu_time_millis_training: 35.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9838, kappa: 0.8391, kb_relative_information_score: 2905.5305, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9837, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2705, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1101, root_relative_squared_error: 0.4873, scimark_benchmark: 1873.9387, usercpu_time_millis: 22.264, usercpu_time_millis_testing: 0.949, usercpu_time_millis_training: 21.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9819, kappa: 0.8177, kb_relative_information_score: 2784.8002, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9818, predictive_accuracy: 0.9824, prior_entropy: 0.3037, recall: 0.9824, relative_absolute_error: 0.3014, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1123, root_relative_squared_error: 0.4973, scimark_benchmark: 1746.2536, usercpu_time_millis: 22.187, usercpu_time_millis_testing: 1.019, usercpu_time_millis_training: 21.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.9682, kappa: 0.6724, kb_relative_information_score: 994.7594, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9676, predictive_accuracy: 0.9698, prior_entropy: 0.3037, recall: 0.9698, relative_absolute_error: 0.5151, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.7235, scimark_benchmark: 1761.9131, usercpu_time_millis: 21.612, usercpu_time_millis_testing: 0.804, usercpu_time_millis_training: 20.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9816, kappa: 0.8127, kb_relative_information_score: 2665.8517, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9817, predictive_accuracy: 0.9824, prior_entropy: 0.3037, recall: 0.9824, relative_absolute_error: 0.3265, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1151, root_relative_squared_error: 0.5094, scimark_benchmark: 1873.4805, usercpu_time_millis: 17.359, usercpu_time_millis_testing: 1.127, usercpu_time_millis_training: 16.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.983, kappa: 0.8308, kb_relative_information_score: 2515.2704, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9828, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.3235, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.5317, scimark_benchmark: 1873.4078, usercpu_time_millis: 32.299, usercpu_time_millis_testing: 1.26, usercpu_time_millis_training: 31.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9724, kappa: 0.7227, kb_relative_information_score: 2019.2612, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.972, predictive_accuracy: 0.9731, prior_entropy: 0.3037, recall: 0.9731, relative_absolute_error: 0.4314, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.6167, scimark_benchmark: 1874.4489, usercpu_time_millis: 31.774, usercpu_time_millis_testing: 1.481, usercpu_time_millis_training: 30.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9824, kappa: 0.8203, kb_relative_information_score: 2920.3036, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9824, predictive_accuracy: 0.9831, prior_entropy: 0.3037, recall: 0.9831, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1127, root_relative_squared_error: 0.499, scimark_benchmark: 1873.4078, usercpu_time_millis: 46.786, usercpu_time_millis_testing: 2.8, usercpu_time_millis_training: 43.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9831, kappa: 0.8327, kb_relative_information_score: 3212.6278, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.983, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1121, root_relative_squared_error: 0.4962, scimark_benchmark: 1873.4078, usercpu_time_millis: 37.267, usercpu_time_millis_testing: 1.491, usercpu_time_millis_training: 35.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.983, kappa: 0.8314, kb_relative_information_score: 2656.2384, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9829, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.3035, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.517, scimark_benchmark: 1873.4078, usercpu_time_millis: 21.575, usercpu_time_millis_testing: 0.83, usercpu_time_millis_training: 20.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9786, kappa: 0.7775, kb_relative_information_score: 2695.2831, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9791, predictive_accuracy: 0.98, prior_entropy: 0.3037, recall: 0.98, relative_absolute_error: 0.3461, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.5193, scimark_benchmark: 1871.1584, usercpu_time_millis: 25.936, usercpu_time_millis_testing: 1.927, usercpu_time_millis_training: 24.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.974, kappa: 0.7237, kb_relative_information_score: 2165.9957, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9752, predictive_accuracy: 0.9762, prior_entropy: 0.3037, recall: 0.9762, relative_absolute_error: 0.4045, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1291, root_relative_squared_error: 0.5716, scimark_benchmark: 1748.6215, usercpu_time_millis: 14.78, usercpu_time_millis_testing: 1.407, usercpu_time_millis_training: 13.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9838, kappa: 0.8379, kb_relative_information_score: 2951.2261, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9836, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2599, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.4806, scimark_benchmark: 1875.4449, usercpu_time_millis: 34.345, usercpu_time_millis_testing: 1.69, usercpu_time_millis_training: 32.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9669, kappa: 0.6364, kb_relative_information_score: 1702.4195, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9707, predictive_accuracy: 0.9713, prior_entropy: 0.3037, recall: 0.9713, relative_absolute_error: 0.5176, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.6352, scimark_benchmark: 1871.6001, usercpu_time_millis: 14.128, usercpu_time_millis_testing: 1.506, usercpu_time_millis_training: 12.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9804, kappa: 0.7989, kb_relative_information_score: 2747.0452, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9806, predictive_accuracy: 0.9814, prior_entropy: 0.3037, recall: 0.9814, relative_absolute_error: 0.327, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.5102, scimark_benchmark: 1819.4071, usercpu_time_millis: 25.486, usercpu_time_millis_testing: 1.773, usercpu_time_millis_training: 23.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9731, kappa: 0.7207, kb_relative_information_score: 1912.3258, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9731, predictive_accuracy: 0.9748, prior_entropy: 0.3037, recall: 0.9748, relative_absolute_error: 0.4183, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.5919, scimark_benchmark: 1868.6447, usercpu_time_millis: 24.551, usercpu_time_millis_testing: 1.516, usercpu_time_millis_training: 23.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9841, kappa: 0.8415, kb_relative_information_score: 3128.7562, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9839, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.4807, scimark_benchmark: 1877.2162, usercpu_time_millis: 37.109, usercpu_time_millis_testing: 1.29, usercpu_time_millis_training: 35.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9749, kappa: 0.7474, kb_relative_information_score: 2068.3278, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9745, predictive_accuracy: 0.9756, prior_entropy: 0.3037, recall: 0.9756, relative_absolute_error: 0.4044, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.5942, scimark_benchmark: 1868.5777, usercpu_time_millis: 33.593, usercpu_time_millis_testing: 1.436, usercpu_time_millis_training: 32.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9636, kappa: 0.5956, kb_relative_information_score: 1342.0191, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9679, predictive_accuracy: 0.9688, prior_entropy: 0.3037, recall: 0.9688, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.6621, scimark_benchmark: 1873.4078, usercpu_time_millis: 24.934, usercpu_time_millis_testing: 2.223, usercpu_time_millis_training: 22.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9807, kappa: 0.8031, kb_relative_information_score: 2648.492, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9808, predictive_accuracy: 0.9816, prior_entropy: 0.3037, recall: 0.9816, relative_absolute_error: 0.3171, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1166, root_relative_squared_error: 0.5164, scimark_benchmark: 1877.2162, usercpu_time_millis: 13.716, usercpu_time_millis_testing: 0.932, usercpu_time_millis_training: 12.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9801, kappa: 0.7982, kb_relative_information_score: 2303.2272, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9799, predictive_accuracy: 0.9808, prior_entropy: 0.3037, recall: 0.9808, relative_absolute_error: 0.3669, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.5516, scimark_benchmark: 1819.8653, usercpu_time_millis: 28.619, usercpu_time_millis_testing: 1.41, usercpu_time_millis_training: 27.209,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs