OpenML
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 145834 Supervised Classification banknote-authentication 43621 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1323.7531, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0393, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.1795, scimark_benchmark: 1841.8034, usercpu_time_millis: 11.803, usercpu_time_millis_testing: 0.6, usercpu_time_millis_training: 11.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9467, kappa: 0.892, kb_relative_information_score: 1083.5093, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9469, predictive_accuracy: 0.9468, prior_entropy: 0.9912, recall: 0.9468, relative_absolute_error: 0.2348, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.4224, scimark_benchmark: 1846.2416, usercpu_time_millis: 5.809, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 5.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9628, kappa: 0.9248, kb_relative_information_score: 987.573, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9629, predictive_accuracy: 0.9628, prior_entropy: 0.9912, recall: 0.9628, relative_absolute_error: 0.3271, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.4336, scimark_benchmark: 1845.7835, usercpu_time_millis: 3.765, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 3.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9825, kappa: 0.9646, kb_relative_information_score: 1250.4817, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9825, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.1021, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.2553, scimark_benchmark: 1845.7835, usercpu_time_millis: 2.503, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 2.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9357, kappa: 0.8695, kb_relative_information_score: 1058.3975, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9364, predictive_accuracy: 0.9359, prior_entropy: 0.9912, recall: 0.9359, relative_absolute_error: 0.255, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.4385, scimark_benchmark: 1846.4335, usercpu_time_millis: 6.553, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 6.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1318.574, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0425, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1021, root_relative_squared_error: 0.2056, scimark_benchmark: 1824.0587, usercpu_time_millis: 6.19, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 5.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9781, kappa: 0.9557, kb_relative_information_score: 1222.8359, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9781, predictive_accuracy: 0.9781, prior_entropy: 0.9912, recall: 0.9781, relative_absolute_error: 0.1249, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.282, scimark_benchmark: 1824.9414, usercpu_time_millis: 6.132, usercpu_time_millis_testing: 0.531, usercpu_time_millis_training: 5.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.851, kappa: 0.6996, kb_relative_information_score: 734.5877, mean_absolute_error: 0.2499, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.853, predictive_accuracy: 0.8506, prior_entropy: 0.9912, recall: 0.8506, relative_absolute_error: 0.506, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.6908, scimark_benchmark: 1841.6688, usercpu_time_millis: 2.525, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 2.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1282.9092, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0802, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.1727, scimark_benchmark: 1836.6789, usercpu_time_millis: 3.595, usercpu_time_millis_testing: 0.316, usercpu_time_millis_training: 3.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3966, kb_relative_information_score: -0.0693, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1842.127, usercpu_time_millis: 1.65, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 1.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9146, kappa: 0.827, kb_relative_information_score: 941.6542, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9147, predictive_accuracy: 0.9147, prior_entropy: 0.9912, recall: 0.9147, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.5304, scimark_benchmark: 1836.2249, usercpu_time_millis: 1.968, usercpu_time_millis_testing: 0.217, usercpu_time_millis_training: 1.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9782, kappa: 0.9558, kb_relative_information_score: 1104.8206, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9783, predictive_accuracy: 0.9781, prior_entropy: 0.9912, recall: 0.9781, relative_absolute_error: 0.2314, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.3446, scimark_benchmark: 1840.7617, usercpu_time_millis: 0.611, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.965, kappa: 0.9293, kb_relative_information_score: 983.6348, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9652, predictive_accuracy: 0.965, prior_entropy: 0.9912, recall: 0.965, relative_absolute_error: 0.3314, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.4317, scimark_benchmark: 1846.8866, usercpu_time_millis: 2.09, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 1.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3966, kb_relative_information_score: 0.0466, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1820.9266, usercpu_time_millis: 2.518, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 2.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9263, kappa: 0.8506, kb_relative_information_score: 1052.1681, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9264, predictive_accuracy: 0.9264, prior_entropy: 0.9912, recall: 0.9264, relative_absolute_error: 0.2536, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.4757, scimark_benchmark: 1840.7617, usercpu_time_millis: 0.364, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1286.0329, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0751, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0956, root_relative_squared_error: 0.1924, scimark_benchmark: 1867.4545, usercpu_time_millis: 9.415, usercpu_time_millis_testing: 0.577, usercpu_time_millis_training: 8.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1330.8535, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0347, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0743, root_relative_squared_error: 0.1495, scimark_benchmark: 1869.6309, usercpu_time_millis: 7.504, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 7.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1294.4453, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0655, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.101, root_relative_squared_error: 0.2032, scimark_benchmark: 1865.9581, usercpu_time_millis: 6.966, usercpu_time_millis_testing: 0.435, usercpu_time_millis_training: 6.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9716, kappa: 0.9426, kb_relative_information_score: 1082.739, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.972, predictive_accuracy: 0.9716, prior_entropy: 0.9912, recall: 0.9716, relative_absolute_error: 0.2513, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.3553, scimark_benchmark: 1864.9656, usercpu_time_millis: 6.485, usercpu_time_millis_testing: 0.623, usercpu_time_millis_training: 5.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1313.1511, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0515, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.1547, scimark_benchmark: 1869.6309, usercpu_time_millis: 6.908, usercpu_time_millis_testing: 0.473, usercpu_time_millis_training: 6.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1258.5085, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.1002, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1055, root_relative_squared_error: 0.2124, scimark_benchmark: 1869.1029, usercpu_time_millis: 4.934, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 4.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9379, kappa: 0.874, kb_relative_information_score: 1037.8007, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9385, predictive_accuracy: 0.938, prior_entropy: 0.9912, recall: 0.938, relative_absolute_error: 0.2723, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.4537, scimark_benchmark: 1869.1727, usercpu_time_millis: 5.052, usercpu_time_millis_testing: 0.324, usercpu_time_millis_training: 4.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1273.5434, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.196, scimark_benchmark: 1874.977, usercpu_time_millis: 4.503, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 4.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1134.1044, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9855, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.21, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.153, root_relative_squared_error: 0.308, scimark_benchmark: 1870.2804, usercpu_time_millis: 4.45, usercpu_time_millis_testing: 0.434, usercpu_time_millis_training: 4.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9716, kappa: 0.9426, kb_relative_information_score: 1019.4408, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9719, predictive_accuracy: 0.9716, prior_entropy: 0.9912, recall: 0.9716, relative_absolute_error: 0.3029, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.4044, scimark_benchmark: 1872.4881, usercpu_time_millis: 3.569, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 3.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9709, kappa: 0.9411, kb_relative_information_score: 1050.9187, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9713, predictive_accuracy: 0.9708, prior_entropy: 0.9912, recall: 0.9708, relative_absolute_error: 0.2772, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.3812, scimark_benchmark: 1869.2422, usercpu_time_millis: 1.294, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 1.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: -0.0923, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1869.1029, usercpu_time_millis: 0.747, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 0.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.916, kappa: 0.8295, kb_relative_information_score: 1014.4589, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9165, predictive_accuracy: 0.9162, prior_entropy: 0.9912, recall: 0.9162, relative_absolute_error: 0.2821, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.5085, scimark_benchmark: 1864.8991, usercpu_time_millis: 0.816, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 0.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 659.8707, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5712, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.6787, scimark_benchmark: 1865.8853, usercpu_time_millis: 1.426, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 1.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9497, kappa: 0.898, kb_relative_information_score: 1132.786, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9498, predictive_accuracy: 0.9497, prior_entropy: 0.9912, recall: 0.9497, relative_absolute_error: 0.1944, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.3772, scimark_benchmark: 1872.4881, usercpu_time_millis: 0.324, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.8916, kappa: 0.7798, kb_relative_information_score: 479.6318, mean_absolute_error: 0.3499, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8985, predictive_accuracy: 0.8929, prior_entropy: 0.9912, recall: 0.8929, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7469, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.445, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 0.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.0268, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1861.7817, usercpu_time_millis: 1.77, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 1.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1244.4571, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.115, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1031, root_relative_squared_error: 0.2074, scimark_benchmark: 1824.5523, usercpu_time_millis: 8.478, usercpu_time_millis_testing: 0.732, usercpu_time_millis_training: 7.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1317.156, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0473, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0793, root_relative_squared_error: 0.1597, scimark_benchmark: 1832.4644, usercpu_time_millis: 8.398, usercpu_time_millis_testing: 0.524, usercpu_time_millis_training: 7.874,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1308.3105, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0794, root_relative_squared_error: 0.1597, scimark_benchmark: 1861.8971, usercpu_time_millis: 6.521, usercpu_time_millis_testing: 0.479, usercpu_time_millis_training: 6.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9275, kappa: 0.8529, kb_relative_information_score: 1006.3326, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9289, predictive_accuracy: 0.9278, prior_entropy: 0.9912, recall: 0.9278, relative_absolute_error: 0.2956, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.4839, scimark_benchmark: 1850.9405, usercpu_time_millis: 5.657, usercpu_time_millis_testing: 0.402, usercpu_time_millis_training: 5.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1242.5848, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.1122, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1193, root_relative_squared_error: 0.24, scimark_benchmark: 1822.7108, usercpu_time_millis: 5.309, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 4.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 1162.8698, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.987, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.186, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.2825, scimark_benchmark: 1832.0698, usercpu_time_millis: 4.881, usercpu_time_millis_testing: 0.435, usercpu_time_millis_training: 4.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1306.2916, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0575, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.1641, scimark_benchmark: 1856.2273, usercpu_time_millis: 4.764, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 4.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1269.8156, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0926, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.1816, scimark_benchmark: 1847.2191, usercpu_time_millis: 3.732, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 3.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9148, kappa: 0.827, kb_relative_information_score: 934.4764, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9181, predictive_accuracy: 0.9155, prior_entropy: 0.9912, recall: 0.9155, relative_absolute_error: 0.3592, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2502, root_relative_squared_error: 0.5036, scimark_benchmark: 1824.1207, usercpu_time_millis: 3.884, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 3.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1220.9372, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.2634, scimark_benchmark: 1863.9794, usercpu_time_millis: 2.729, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 2.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9167, kappa: 0.8311, kb_relative_information_score: 1002.3036, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9171, predictive_accuracy: 0.9169, prior_entropy: 0.9912, recall: 0.9169, relative_absolute_error: 0.2932, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.5094, scimark_benchmark: 1829.1508, usercpu_time_millis: 2.563, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 2.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1312.3941, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0498, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.1865, scimark_benchmark: 1819.7653, usercpu_time_millis: 2.713, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 2.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9723, kappa: 0.9439, kb_relative_information_score: 1196.7566, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9723, predictive_accuracy: 0.9723, prior_entropy: 0.9912, recall: 0.9723, relative_absolute_error: 0.146, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.3133, scimark_benchmark: 1861.8971, usercpu_time_millis: 2.246, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 2.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9386, kappa: 0.8754, kb_relative_information_score: 983.8731, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9393, predictive_accuracy: 0.9388, prior_entropy: 0.9912, recall: 0.9388, relative_absolute_error: 0.3226, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.4627, scimark_benchmark: 1835.4875, usercpu_time_millis: 2.061, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 1.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1299.8683, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0634, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.1698, scimark_benchmark: 1838.04, usercpu_time_millis: 1.075, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 0.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3966, kb_relative_information_score: -0.1347, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1826.5912, usercpu_time_millis: 1.181, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 1.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9789, kappa: 0.9573, kb_relative_information_score: 1248.6841, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9789, predictive_accuracy: 0.9789, prior_entropy: 0.9912, recall: 0.9789, relative_absolute_error: 0.1026, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1315, root_relative_squared_error: 0.2646, scimark_benchmark: 1817.9291, usercpu_time_millis: 6.782, usercpu_time_millis_testing: 0.435, usercpu_time_millis_training: 6.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1320.0232, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0431, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.177, scimark_benchmark: 1810.3232, usercpu_time_millis: 5.961, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 5.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.976, kappa: 0.9514, kb_relative_information_score: 1079.1413, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9762, predictive_accuracy: 0.9759, prior_entropy: 0.9912, recall: 0.9759, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.3531, scimark_benchmark: 1854.9561, usercpu_time_millis: 5.303, usercpu_time_millis_testing: 0.661, usercpu_time_millis_training: 4.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1312.1485, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0523, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0779, root_relative_squared_error: 0.1567, scimark_benchmark: 1859.2172, usercpu_time_millis: 4.93, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 4.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1322.8742, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0418, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0781, root_relative_squared_error: 0.1572, scimark_benchmark: 1733.8138, usercpu_time_millis: 4.474, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 4.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9548, kappa: 0.9085, kb_relative_information_score: 1105.5661, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9548, predictive_accuracy: 0.9548, prior_entropy: 0.9912, recall: 0.9548, relative_absolute_error: 0.2202, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.3874, scimark_benchmark: 1740.277, usercpu_time_millis: 4.411, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 4.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9117, kappa: 0.8211, kb_relative_information_score: 925.8659, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9118, predictive_accuracy: 0.9118, prior_entropy: 0.9912, recall: 0.9118, relative_absolute_error: 0.3566, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.5436, scimark_benchmark: 1851.8785, usercpu_time_millis: 2.82, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 2.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1334.5378, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.028, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.1981, scimark_benchmark: 1854.4979, usercpu_time_millis: 1.094, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 1.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9067, kappa: 0.8105, kb_relative_information_score: 671.3975, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9105, predictive_accuracy: 0.9074, prior_entropy: 0.9912, recall: 0.9074, relative_absolute_error: 0.572, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6311, scimark_benchmark: 1738.3947, usercpu_time_millis: 3.337, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 2.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: 0.1038, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1803.3882, usercpu_time_millis: 0.391, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 0.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1200.6644, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.1499, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.2699, scimark_benchmark: 1856.9307, usercpu_time_millis: 5.467, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 5.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1331.8809, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0314, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0923, root_relative_squared_error: 0.1857, scimark_benchmark: 1873.6255, usercpu_time_millis: 4.89, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 4.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9803, kappa: 0.9602, kb_relative_information_score: 1176.4079, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9804, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.1692, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.146, root_relative_squared_error: 0.2938, scimark_benchmark: 1875.7049, usercpu_time_millis: 2.286, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 2.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: 0.0336, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1870.4545, usercpu_time_millis: 0.817, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 0.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1314.3375, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0498, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.081, root_relative_squared_error: 0.163, scimark_benchmark: 1840.2451, usercpu_time_millis: 10.678, usercpu_time_millis_testing: 0.701, usercpu_time_millis_training: 9.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9467, kappa: 0.892, kb_relative_information_score: 1125.3426, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9469, predictive_accuracy: 0.9468, prior_entropy: 0.9912, recall: 0.9468, relative_absolute_error: 0.1998, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.3859, scimark_benchmark: 1839.2774, usercpu_time_millis: 7.333, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 6.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 1333.2145, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.0282, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.2229, scimark_benchmark: 1831.2374, usercpu_time_millis: 9.334, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 8.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1254.2918, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.1021, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.229, scimark_benchmark: 1840.2451, usercpu_time_millis: 6.831, usercpu_time_millis_testing: 0.553, usercpu_time_millis_training: 6.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1311.4104, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.1552, scimark_benchmark: 1725.8006, usercpu_time_millis: 2.523, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 2.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1280.3289, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.1717, scimark_benchmark: 1843.3864, usercpu_time_millis: 2.179, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 1.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1326.8803, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0361, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.183, scimark_benchmark: 1844.3569, usercpu_time_millis: 5.91, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 5.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9716, kappa: 0.9425, kb_relative_information_score: 1198.3611, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9716, predictive_accuracy: 0.9716, prior_entropy: 0.9912, recall: 0.9716, relative_absolute_error: 0.1437, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.154, root_relative_squared_error: 0.3099, scimark_benchmark: 1833.4044, usercpu_time_millis: 1.036, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 0.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.0401, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1834.7531, usercpu_time_millis: 1.278, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 1.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.218, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1839.2774, usercpu_time_millis: 1.184, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1276.7752, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.0802, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1111, root_relative_squared_error: 0.2236, scimark_benchmark: 1840.1895, usercpu_time_millis: 1.667, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 1.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9803, kappa: 0.9602, kb_relative_information_score: 1252.2098, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9804, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1288, root_relative_squared_error: 0.2592, scimark_benchmark: 1729.0254, usercpu_time_millis: 1.723, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 1.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9298, kappa: 0.8574, kb_relative_information_score: 1030.4325, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9309, predictive_accuracy: 0.93, prior_entropy: 0.9912, recall: 0.93, relative_absolute_error: 0.2771, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.4648, scimark_benchmark: 1831.2156, usercpu_time_millis: 6.067, usercpu_time_millis_testing: 0.596, usercpu_time_millis_training: 5.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1316.1286, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0487, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.1534, scimark_benchmark: 1844.3569, usercpu_time_millis: 7.427, usercpu_time_millis_testing: 0.578, usercpu_time_millis_training: 6.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9156, kappa: 0.8286, kb_relative_information_score: 817.8766, mean_absolute_error: 0.2263, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9187, predictive_accuracy: 0.9162, prior_entropy: 0.9912, recall: 0.9162, relative_absolute_error: 0.4582, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2744, root_relative_squared_error: 0.5521, scimark_benchmark: 1842.9366, usercpu_time_millis: 0.489, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9702, kappa: 0.9396, kb_relative_information_score: 989.4602, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9704, predictive_accuracy: 0.9701, prior_entropy: 0.9912, recall: 0.9701, relative_absolute_error: 0.3269, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4279, scimark_benchmark: 1849.0221, usercpu_time_millis: 2.628, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 2.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.8611, kappa: 0.7197, kb_relative_information_score: 762.4981, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8625, predictive_accuracy: 0.8608, prior_entropy: 0.9912, recall: 0.8608, relative_absolute_error: 0.4884, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.311, root_relative_squared_error: 0.6259, scimark_benchmark: 1840.7617, usercpu_time_millis: 1.348, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 1.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.8892, kappa: 0.7751, kb_relative_information_score: 490.5922, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.897, predictive_accuracy: 0.8907, prior_entropy: 0.9912, recall: 0.8907, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.7373, scimark_benchmark: 1841.1522, usercpu_time_millis: 0.912, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9358, kappa: 0.8697, kb_relative_information_score: 1093.7612, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.936, predictive_accuracy: 0.9359, prior_entropy: 0.9912, recall: 0.9359, relative_absolute_error: 0.2234, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.208, root_relative_squared_error: 0.4186, scimark_benchmark: 1843.8403, usercpu_time_millis: 0.432, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3966, kb_relative_information_score: -0.0358, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1842.9394, usercpu_time_millis: 1.694, usercpu_time_millis_testing: 0.335, usercpu_time_millis_training: 1.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1287.7654, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.071, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1055, root_relative_squared_error: 0.2123, scimark_benchmark: 1840.2451, usercpu_time_millis: 2.563, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 2.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9847, kappa: 0.9691, kb_relative_information_score: 1116.6576, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.985, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.3224, scimark_benchmark: 1835.3711, usercpu_time_millis: 0.415, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1199.817, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1294, root_relative_squared_error: 0.2604, scimark_benchmark: 1829.7478, usercpu_time_millis: 0.148, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1321.0566, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0422, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.1766, scimark_benchmark: 1825.7178, usercpu_time_millis: 8.274, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 7.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9679, kappa: 0.935, kb_relative_information_score: 1165.4653, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9679, predictive_accuracy: 0.9679, prior_entropy: 0.9912, recall: 0.9679, relative_absolute_error: 0.1706, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.3396, scimark_benchmark: 1832.1397, usercpu_time_millis: 5.36, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 4.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1301.9748, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0608, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.1793, scimark_benchmark: 1855.4813, usercpu_time_millis: 7.267, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 6.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1272.6481, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0877, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.1975, scimark_benchmark: 1854.4431, usercpu_time_millis: 6.174, usercpu_time_millis_testing: 0.516, usercpu_time_millis_training: 5.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1281.3254, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0801, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0935, root_relative_squared_error: 0.1882, scimark_benchmark: 1835.621, usercpu_time_millis: 4.135, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 3.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1307.8327, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0555, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.1708, scimark_benchmark: 1845.264, usercpu_time_millis: 3.398, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 3.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1299.1441, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0633, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.1823, scimark_benchmark: 1848.7121, usercpu_time_millis: 3.375, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 3.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9709, kappa: 0.9411, kb_relative_information_score: 1061.8325, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9713, predictive_accuracy: 0.9708, prior_entropy: 0.9912, recall: 0.9708, relative_absolute_error: 0.2686, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.3713, scimark_benchmark: 1855.4813, usercpu_time_millis: 4.003, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 3.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1290.6448, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0705, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.095, root_relative_squared_error: 0.1913, scimark_benchmark: 1836.0792, usercpu_time_millis: 0.537, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9745, kappa: 0.9485, kb_relative_information_score: 1099.0834, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9749, predictive_accuracy: 0.9745, prior_entropy: 0.9912, recall: 0.9745, relative_absolute_error: 0.2368, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.172, root_relative_squared_error: 0.3461, scimark_benchmark: 1850.2875, usercpu_time_millis: 2.06, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 1.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1268.433, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0939, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.1827, scimark_benchmark: 1848.388, usercpu_time_millis: 5.048, usercpu_time_millis_testing: 0.495, usercpu_time_millis_training: 4.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1122.1112, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9848, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.2188, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.3231, scimark_benchmark: 1846.3057, usercpu_time_millis: 5.842, usercpu_time_millis_testing: 0.545, usercpu_time_millis_training: 5.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1270.6611, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0891, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1012, root_relative_squared_error: 0.2036, scimark_benchmark: 1829.1442, usercpu_time_millis: 0.468, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3966, kb_relative_information_score: -0.0333, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1852.0126, usercpu_time_millis: 1.445, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 1.167,

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