OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.8425, kappa: 0.5958, kb_relative_information_score: 13678.5023, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.871, predictive_accuracy: 0.857, prior_entropy: 0.863, recall: 0.857, relative_absolute_error: 0.661, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.709, scimark_benchmark: 1738.2413, usercpu_time_millis: 5.617, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 5.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.8897, kappa: 0.7202, kb_relative_information_score: 14303.7099, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9003, predictive_accuracy: 0.8955, prior_entropy: 0.863, recall: 0.8955, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.6921, scimark_benchmark: 1840.3802, usercpu_time_millis: 4.2, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 3.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1840.7617, usercpu_time_millis: 3.418, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 3.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9025, kappa: 0.7539, kb_relative_information_score: 15778.3134, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9088, predictive_accuracy: 0.9064, prior_entropy: 0.863, recall: 0.9064, relative_absolute_error: 0.5977, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.6607, scimark_benchmark: 1844.3569, usercpu_time_millis: 4.217, usercpu_time_millis_testing: 0.313, usercpu_time_millis_training: 3.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1715.5791, usercpu_time_millis: 4.441, usercpu_time_millis_testing: 0.368, usercpu_time_millis_training: 4.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.945, kappa: 0.8649, kb_relative_information_score: 27393.29, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9449, predictive_accuracy: 0.9452, prior_entropy: 0.863, recall: 0.9452, relative_absolute_error: 0.2118, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.4442, scimark_benchmark: 1800.9343, usercpu_time_millis: 45.763, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 45.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.8782, kappa: 0.6927, kb_relative_information_score: 13556.3798, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8833, predictive_accuracy: 0.8833, prior_entropy: 0.863, recall: 0.8833, relative_absolute_error: 0.6599, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.7098, scimark_benchmark: 1743.8988, usercpu_time_millis: 3.578, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 3.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9221, kappa: 0.8061, kb_relative_information_score: 20114.2721, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9232, predictive_accuracy: 0.9236, prior_entropy: 0.863, recall: 0.9236, relative_absolute_error: 0.457, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.5729, scimark_benchmark: 1731.2639, usercpu_time_millis: 5.01, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 4.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1734.2259, usercpu_time_millis: 3.247, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 2.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9437, kappa: 0.8617, kb_relative_information_score: 27054.1163, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9436, predictive_accuracy: 0.9438, prior_entropy: 0.863, recall: 0.9438, relative_absolute_error: 0.2234, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.4488, scimark_benchmark: 1793.6152, usercpu_time_millis: 35.589, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 35.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1783.071, usercpu_time_millis: 3.183, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 2.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9114, kappa: 0.7775, kb_relative_information_score: 17407.4008, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9153, predictive_accuracy: 0.9143, prior_entropy: 0.863, recall: 0.9143, relative_absolute_error: 0.5462, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.627, scimark_benchmark: 1852.9988, usercpu_time_millis: 4.238, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 3.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1757.445, usercpu_time_millis: 3.192, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 2.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9445, kappa: 0.8637, kb_relative_information_score: 27239.547, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9445, predictive_accuracy: 0.9447, prior_entropy: 0.863, recall: 0.9447, relative_absolute_error: 0.217, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.4469, scimark_benchmark: 1848.8032, usercpu_time_millis: 38.37, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 38.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9472, kappa: 0.8703, kb_relative_information_score: 27844.3269, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9471, predictive_accuracy: 0.9473, prior_entropy: 0.863, recall: 0.9473, relative_absolute_error: 0.1973, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.4332, scimark_benchmark: 1738.8501, usercpu_time_millis: 81.463, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 81.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1729.9428, usercpu_time_millis: 3.38, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 3.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.923, kappa: 0.8083, kb_relative_information_score: 21228.3089, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9238, predictive_accuracy: 0.9243, prior_entropy: 0.863, recall: 0.9243, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.5532, scimark_benchmark: 1726.8288, usercpu_time_millis: 5.076, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 4.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9401, kappa: 0.8526, kb_relative_information_score: 26155.6482, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.94, predictive_accuracy: 0.9404, prior_entropy: 0.863, recall: 0.9404, relative_absolute_error: 0.2533, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4679, scimark_benchmark: 1792.3947, usercpu_time_millis: 21.941, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 21.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9418, kappa: 0.8569, kb_relative_information_score: 26508.4571, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9417, predictive_accuracy: 0.942, prior_entropy: 0.863, recall: 0.942, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.4597, scimark_benchmark: 1843.5597, usercpu_time_millis: 23.958, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 23.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.8941, kappa: 0.7317, kb_relative_information_score: 16421.9472, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9032, predictive_accuracy: 0.8993, prior_entropy: 0.863, recall: 0.8993, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.6479, scimark_benchmark: 1830.9683, usercpu_time_millis: 4.182, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 3.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9383, kappa: 0.8482, kb_relative_information_score: 25343.95, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9382, predictive_accuracy: 0.9386, prior_entropy: 0.863, recall: 0.9386, relative_absolute_error: 0.2806, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4822, scimark_benchmark: 1853.97, usercpu_time_millis: 13.855, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 13.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1858.2625, usercpu_time_millis: 3.105, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 2.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9091, kappa: 0.7738, kb_relative_information_score: 19327.1711, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9098, predictive_accuracy: 0.9108, prior_entropy: 0.863, recall: 0.9108, relative_absolute_error: 0.4827, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.5893, scimark_benchmark: 1737.8652, usercpu_time_millis: 4.274, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 3.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9356, kappa: 0.8414, kb_relative_information_score: 24800.0338, mean_absolute_error: 0.1219, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9355, predictive_accuracy: 0.9361, prior_entropy: 0.863, recall: 0.9361, relative_absolute_error: 0.2987, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.4926, scimark_benchmark: 1771.3502, usercpu_time_millis: 12.362, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 12.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1763.6496, usercpu_time_millis: 3.241, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 2.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1718.2809, usercpu_time_millis: 3.572, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 3.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.597, kappa: 0.0035, kb_relative_information_score: 6866.7595, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.7963, predictive_accuracy: 0.7151, prior_entropy: 0.863, recall: 0.7151, relative_absolute_error: 0.8474, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.8564, scimark_benchmark: 1859.8655, usercpu_time_millis: 3.45, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 3.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9351, kappa: 0.8399, kb_relative_information_score: 25157.5624, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.935, predictive_accuracy: 0.9355, prior_entropy: 0.863, recall: 0.9355, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.4882, scimark_benchmark: 1718.6781, usercpu_time_millis: 14.945, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 14.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1847.3589, usercpu_time_millis: 3.03, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 2.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1848.8462, usercpu_time_millis: 3.102, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 2.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.617, kappa: 0.0467, kb_relative_information_score: 6382.0698, mean_absolute_error: 0.3515, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8008, predictive_accuracy: 0.7238, prior_entropy: 0.863, recall: 0.7238, relative_absolute_error: 0.8614, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.8689, scimark_benchmark: 1790.7343, usercpu_time_millis: 4.255, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 3.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9462, kappa: 0.868, kb_relative_information_score: 27656.2678, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9461, predictive_accuracy: 0.9463, prior_entropy: 0.863, recall: 0.9463, relative_absolute_error: 0.2035, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.4373, scimark_benchmark: 1834.8102, usercpu_time_millis: 62.345, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 62.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9446, kappa: 0.8639, kb_relative_information_score: 27257.5014, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9445, predictive_accuracy: 0.9448, prior_entropy: 0.863, recall: 0.9448, relative_absolute_error: 0.2163, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.447, scimark_benchmark: 1737.9267, usercpu_time_millis: 36.564, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 36.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1737.5092, usercpu_time_millis: 3.262, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 2.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1765.6667, usercpu_time_millis: 3.348, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 3.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1762.4475, usercpu_time_millis: 3.372, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 3.066,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.8779, kappa: 0.6918, kb_relative_information_score: 13401.6285, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8831, predictive_accuracy: 0.883, prior_entropy: 0.863, recall: 0.883, relative_absolute_error: 0.6647, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.7131, scimark_benchmark: 1846.6923, usercpu_time_millis: 3.945, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 3.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9288, kappa: 0.8238, kb_relative_information_score: 22259.7411, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.929, predictive_accuracy: 0.9296, prior_entropy: 0.863, recall: 0.9296, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.5353, scimark_benchmark: 1702.5367, usercpu_time_millis: 7.195, usercpu_time_millis_testing: 0.354, usercpu_time_millis_training: 6.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9457, kappa: 0.8666, kb_relative_information_score: 27498.7682, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9456, predictive_accuracy: 0.9458, prior_entropy: 0.863, recall: 0.9458, relative_absolute_error: 0.2088, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.4402, scimark_benchmark: 1732.4995, usercpu_time_millis: 52.706, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 52.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1740.8315, usercpu_time_millis: 3.182, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 2.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9381, kappa: 0.8476, kb_relative_information_score: 25189.8675, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.938, predictive_accuracy: 0.9383, prior_entropy: 0.863, recall: 0.9383, relative_absolute_error: 0.2862, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.4835, scimark_benchmark: 1842.7093, usercpu_time_millis: 13.644, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 13.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9364, kappa: 0.8435, kb_relative_information_score: 24967.6349, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9363, predictive_accuracy: 0.9367, prior_entropy: 0.863, recall: 0.9367, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.4896, scimark_benchmark: 1756.3483, usercpu_time_millis: 12.918, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 12.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1739.0626, usercpu_time_millis: 3.249, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 2.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9464, kappa: 0.8685, kb_relative_information_score: 27713.1398, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9464, predictive_accuracy: 0.9466, prior_entropy: 0.863, recall: 0.9466, relative_absolute_error: 0.2015, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.437, scimark_benchmark: 1807.1135, usercpu_time_millis: 80.329, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 80.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1708.862, usercpu_time_millis: 4.182, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 3.824,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: premature end of file, read Token[EOF], line 1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.8834, kappa: 0.7037, kb_relative_information_score: 13630.0633, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8953, predictive_accuracy: 0.89, prior_entropy: 0.863, recall: 0.89, relative_absolute_error: 0.6612, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.7068, scimark_benchmark: 1804.7637, usercpu_time_millis: 3.882, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 3.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9447, kappa: 0.8642, kb_relative_information_score: 27257.9451, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9446, predictive_accuracy: 0.9449, prior_entropy: 0.863, recall: 0.9449, relative_absolute_error: 0.2167, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.201, root_relative_squared_error: 0.4451, scimark_benchmark: 1696.6078, usercpu_time_millis: 49.983, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 49.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1849.7595, usercpu_time_millis: 3.274, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 2.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.8667, kappa: 0.6608, kb_relative_information_score: 11867.938, mean_absolute_error: 0.2901, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8792, predictive_accuracy: 0.8749, prior_entropy: 0.863, recall: 0.8749, relative_absolute_error: 0.7109, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.337, root_relative_squared_error: 0.746, scimark_benchmark: 1827.7535, usercpu_time_millis: 3.65, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 3.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9454, kappa: 0.866, kb_relative_information_score: 27546.7991, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9454, predictive_accuracy: 0.9456, prior_entropy: 0.863, recall: 0.9456, relative_absolute_error: 0.2071, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.4388, scimark_benchmark: 1825.1605, usercpu_time_millis: 61.489, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 61.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9314, kappa: 0.8304, kb_relative_information_score: 23350.8524, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9315, predictive_accuracy: 0.9321, prior_entropy: 0.863, recall: 0.9321, relative_absolute_error: 0.3468, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.5161, scimark_benchmark: 1789.6658, usercpu_time_millis: 7.125, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 6.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.5954, kb_relative_information_score: 1134.2879, mean_absolute_error: 0.3983, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.9765, scimark_benchmark: 1917.5183, usercpu_time_millis: 3.137, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 2.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1778.9469, usercpu_time_millis: 3.179, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 2.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1784.2187, usercpu_time_millis: 3.31, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 3.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9239, kappa: 0.8106, kb_relative_information_score: 21385.1619, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9247, predictive_accuracy: 0.9252, prior_entropy: 0.863, recall: 0.9252, relative_absolute_error: 0.413, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5502, scimark_benchmark: 1725.3779, usercpu_time_millis: 5.009, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 4.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1729.3908, usercpu_time_millis: 3.393, usercpu_time_millis_testing: 0.313, usercpu_time_millis_training: 3.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1725.7822, usercpu_time_millis: 3.422, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 3.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1770.8392, usercpu_time_millis: 3.328, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 3.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.942, kappa: 0.8573, kb_relative_information_score: 26720.084, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9419, predictive_accuracy: 0.9422, prior_entropy: 0.863, recall: 0.9422, relative_absolute_error: 0.2344, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.4566, scimark_benchmark: 1865.2588, usercpu_time_millis: 30.534, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 30.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9422, kappa: 0.858, kb_relative_information_score: 26616.2097, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9421, predictive_accuracy: 0.9425, prior_entropy: 0.863, recall: 0.9425, relative_absolute_error: 0.2381, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.4577, scimark_benchmark: 1777.9073, usercpu_time_millis: 26.833, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 26.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9433, kappa: 0.8605, kb_relative_information_score: 27025.128, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9432, predictive_accuracy: 0.9435, prior_entropy: 0.863, recall: 0.9435, relative_absolute_error: 0.2242, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.4508, scimark_benchmark: 1734.6706, usercpu_time_millis: 34.592, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 34.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1833.6579, usercpu_time_millis: 3.465, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 3.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9426, kappa: 0.8588, kb_relative_information_score: 26812.1865, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9425, predictive_accuracy: 0.9428, prior_entropy: 0.863, recall: 0.9428, relative_absolute_error: 0.2313, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.4548, scimark_benchmark: 1755.7664, usercpu_time_millis: 31.389, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 31.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1028.6436, usercpu_time_millis: 5.284, usercpu_time_millis_testing: 0.545, usercpu_time_millis_training: 4.739,

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