OpenML
Supervised Classification on steel-plates-fault

Supervised Classification on steel-plates-fault

Task 145872 Supervised Classification steel-plates-fault 132228 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9966, kb_relative_information_score: 1735.8693, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9313, recall: 0.9985, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0972, root_relative_squared_error: 0.2043, scimark_benchmark: 1241.5071, usercpu_time_millis: 35.367, usercpu_time_millis_testing: 1.472, usercpu_time_millis_training: 33.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.7618, kappa: 0.4657, kb_relative_information_score: 472.1566, mean_absolute_error: 0.3629, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8411, predictive_accuracy: 0.7919, prior_entropy: 0.9313, recall: 0.7919, relative_absolute_error: 0.801, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.8288, scimark_benchmark: 1249.5643, usercpu_time_millis: 30.804, usercpu_time_millis_testing: 3.152, usercpu_time_millis_training: 27.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9969, kappa: 0.9932, kb_relative_information_score: 1763.499, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9313, recall: 0.9969, relative_absolute_error: 0.1161, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.1999, scimark_benchmark: 1238.5084, usercpu_time_millis: 3.375, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 3.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9793, kappa: 0.9543, kb_relative_information_score: 1226.1252, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9794, predictive_accuracy: 0.9794, prior_entropy: 0.9313, recall: 0.9794, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.4911, scimark_benchmark: 1240.5339, usercpu_time_millis: 26.027, usercpu_time_millis_testing: 1.697, usercpu_time_millis_training: 24.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.5163, kb_relative_information_score: 215.2014, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9042, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.9158, scimark_benchmark: 1234.6093, usercpu_time_millis: 20.548, usercpu_time_millis_testing: 2.184, usercpu_time_millis_training: 18.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9954, kappa: 0.9898, kb_relative_information_score: 1671.6261, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 0.9313, recall: 0.9954, relative_absolute_error: 0.1767, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.2499, scimark_benchmark: 1235.092, usercpu_time_millis: 19.917, usercpu_time_millis_testing: 0.947, usercpu_time_millis_training: 18.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9757, kappa: 0.9463, kb_relative_information_score: 1267.0625, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9758, predictive_accuracy: 0.9758, prior_entropy: 0.9313, recall: 0.9758, relative_absolute_error: 0.414, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.4809, scimark_benchmark: 1230.5882, usercpu_time_millis: 59.715, usercpu_time_millis_testing: 4.37, usercpu_time_millis_training: 55.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9674, kappa: 0.9276, kb_relative_information_score: 1102.6038, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9677, predictive_accuracy: 0.9675, prior_entropy: 0.9313, recall: 0.9675, relative_absolute_error: 0.5006, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2674, root_relative_squared_error: 0.5619, scimark_benchmark: 1236.819, usercpu_time_millis: 5.911, usercpu_time_millis_testing: 0.468, usercpu_time_millis_training: 5.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9715, kappa: 0.9368, kb_relative_information_score: 1120.8701, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9718, predictive_accuracy: 0.9717, prior_entropy: 0.9313, recall: 0.9717, relative_absolute_error: 0.4926, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.263, root_relative_squared_error: 0.5527, scimark_benchmark: 1247.669, usercpu_time_millis: 59.206, usercpu_time_millis_testing: 4.744, usercpu_time_millis_training: 54.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9954, kappa: 0.9898, kb_relative_information_score: 1681.3505, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 0.9313, recall: 0.9954, relative_absolute_error: 0.1708, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.115, root_relative_squared_error: 0.2417, scimark_benchmark: 1234.577, usercpu_time_millis: 38.057, usercpu_time_millis_testing: 2.069, usercpu_time_millis_training: 35.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9892, kappa: 0.9761, kb_relative_information_score: 1386.5127, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9892, predictive_accuracy: 0.9892, prior_entropy: 0.9313, recall: 0.9892, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4129, scimark_benchmark: 1238.4031, usercpu_time_millis: 34.174, usercpu_time_millis_testing: 2.261, usercpu_time_millis_training: 31.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9969, kappa: 0.9932, kb_relative_information_score: 1619.2571, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9313, recall: 0.9969, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.275, scimark_benchmark: 1246.8217, usercpu_time_millis: 32.385, usercpu_time_millis_testing: 1.45, usercpu_time_millis_training: 30.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9902, kappa: 0.9784, kb_relative_information_score: 1504.5861, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9902, predictive_accuracy: 0.9902, prior_entropy: 0.9313, recall: 0.9902, relative_absolute_error: 0.2782, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.3506, scimark_benchmark: 1233.0118, usercpu_time_millis: 38.764, usercpu_time_millis_testing: 2.511, usercpu_time_millis_training: 36.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9353, kappa: 0.8551, kb_relative_information_score: 834.5224, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9397, predictive_accuracy: 0.9366, prior_entropy: 0.9313, recall: 0.9366, relative_absolute_error: 0.6362, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6829, scimark_benchmark: 1243.7664, usercpu_time_millis: 37.131, usercpu_time_millis_testing: 3.351, usercpu_time_millis_training: 33.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9715, kappa: 0.9368, kb_relative_information_score: 1093.5429, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9719, predictive_accuracy: 0.9717, prior_entropy: 0.9313, recall: 0.9717, relative_absolute_error: 0.5054, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.5664, scimark_benchmark: 1240.8188, usercpu_time_millis: 30.882, usercpu_time_millis_testing: 2.796, usercpu_time_millis_training: 28.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9721, kappa: 0.9382, kb_relative_information_score: 1020.4514, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9722, predictive_accuracy: 0.9722, prior_entropy: 0.9313, recall: 0.9722, relative_absolute_error: 0.5479, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.5932, scimark_benchmark: 1234.6923, usercpu_time_millis: 8.796, usercpu_time_millis_testing: 0.508, usercpu_time_millis_training: 8.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9918, kappa: 0.9818, kb_relative_information_score: 1505.4713, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9918, predictive_accuracy: 0.9918, prior_entropy: 0.9313, recall: 0.9918, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.3464, scimark_benchmark: 1237.8076, usercpu_time_millis: 32.036, usercpu_time_millis_testing: 1.66, usercpu_time_millis_training: 30.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9966, kb_relative_information_score: 1810.162, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9313, recall: 0.9985, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.1649, scimark_benchmark: 1226.8049, usercpu_time_millis: 3.06, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 2.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9923, kappa: 0.9829, kb_relative_information_score: 1484.2737, mean_absolute_error: 0.1314, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 0.9313, recall: 0.9923, relative_absolute_error: 0.2901, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.364, scimark_benchmark: 1244.4648, usercpu_time_millis: 25.32, usercpu_time_millis_testing: 1.979, usercpu_time_millis_training: 23.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.8154, kappa: 0.5829, kb_relative_information_score: 559.9139, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8604, predictive_accuracy: 0.8315, prior_entropy: 0.9313, recall: 0.8315, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7939, scimark_benchmark: 1241.5156, usercpu_time_millis: 11.543, usercpu_time_millis_testing: 1.067, usercpu_time_millis_training: 10.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.971, kappa: 0.9356, kb_relative_information_score: 1071.3652, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9713, predictive_accuracy: 0.9711, prior_entropy: 0.9313, recall: 0.9711, relative_absolute_error: 0.519, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.5759, scimark_benchmark: 1234.2729, usercpu_time_millis: 19.236, usercpu_time_millis_testing: 1.569, usercpu_time_millis_training: 17.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.983, kappa: 0.9624, kb_relative_information_score: 1344.8783, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.983, predictive_accuracy: 0.983, prior_entropy: 0.9313, recall: 0.983, relative_absolute_error: 0.3725, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4365, scimark_benchmark: 1229.9497, usercpu_time_millis: 47.97, usercpu_time_millis_testing: 3.443, usercpu_time_millis_training: 44.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9658, kappa: 0.924, kb_relative_information_score: 920.1477, mean_absolute_error: 0.2719, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9663, predictive_accuracy: 0.966, prior_entropy: 0.9313, recall: 0.966, relative_absolute_error: 0.6001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.6389, scimark_benchmark: 1232.2806, usercpu_time_millis: 42.3, usercpu_time_millis_testing: 2.665, usercpu_time_millis_training: 39.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.7826, kappa: 0.51, kb_relative_information_score: 502.9291, mean_absolute_error: 0.3528, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8388, predictive_accuracy: 0.8053, prior_entropy: 0.9313, recall: 0.8053, relative_absolute_error: 0.7786, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.8141, scimark_benchmark: 1228.9972, usercpu_time_millis: 28.133, usercpu_time_millis_testing: 2.514, usercpu_time_millis_training: 25.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.8755, kappa: 0.7187, kb_relative_information_score: 743.5024, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8965, predictive_accuracy: 0.882, prior_entropy: 0.9313, recall: 0.882, relative_absolute_error: 0.6764, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.7225, scimark_benchmark: 1243.2571, usercpu_time_millis: 21.415, usercpu_time_millis_testing: 1.963, usercpu_time_millis_training: 19.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9058, kappa: 0.7877, kb_relative_information_score: 859.5304, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9184, predictive_accuracy: 0.9093, prior_entropy: 0.9313, recall: 0.9093, relative_absolute_error: 0.6214, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.6734, scimark_benchmark: 1233.2984, usercpu_time_millis: 91.208, usercpu_time_millis_testing: 8.617, usercpu_time_millis_training: 82.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9959, kappa: 0.9909, kb_relative_information_score: 1696.6651, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.9313, recall: 0.9959, relative_absolute_error: 0.1614, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.2307, scimark_benchmark: 1230.0691, usercpu_time_millis: 130.895, usercpu_time_millis_testing: 6.211, usercpu_time_millis_training: 124.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9938, kappa: 0.9864, kb_relative_information_score: 1626.0935, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 0.9313, recall: 0.9938, relative_absolute_error: 0.2055, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1312, root_relative_squared_error: 0.2757, scimark_benchmark: 1226.4376, usercpu_time_millis: 89.748, usercpu_time_millis_testing: 5.03, usercpu_time_millis_training: 84.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.5163, kb_relative_information_score: -0.3238, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1244.8123, usercpu_time_millis: 14.136, usercpu_time_millis_testing: 1.74, usercpu_time_millis_training: 12.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.521, kappa: 0.0078, kb_relative_information_score: 270.9074, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7744, predictive_accuracy: 0.6553, prior_entropy: 0.9313, recall: 0.6553, relative_absolute_error: 0.888, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.9013, scimark_benchmark: 1234.911, usercpu_time_millis: 15.569, usercpu_time_millis_testing: 1.796, usercpu_time_millis_training: 13.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9979, kappa: 0.9954, kb_relative_information_score: 1720.2888, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.9313, recall: 0.9979, relative_absolute_error: 0.1468, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1015, root_relative_squared_error: 0.2133, scimark_benchmark: 1239.4815, usercpu_time_millis: 122.17, usercpu_time_millis_testing: 5.065, usercpu_time_millis_training: 117.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9979, kappa: 0.9955, kb_relative_information_score: 1684.4986, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.9313, recall: 0.9979, relative_absolute_error: 0.1704, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.2347, scimark_benchmark: 1243.9545, usercpu_time_millis: 9.469, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 9.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9979, kappa: 0.9954, kb_relative_information_score: 1707.7835, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.9313, recall: 0.9979, relative_absolute_error: 0.1549, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1052, root_relative_squared_error: 0.221, scimark_benchmark: 1243.2352, usercpu_time_millis: 77.883, usercpu_time_millis_testing: 3.281, usercpu_time_millis_training: 74.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9979, kappa: 0.9955, kb_relative_information_score: 1751.5477, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.9313, recall: 0.9979, relative_absolute_error: 0.1264, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.092, root_relative_squared_error: 0.1934, scimark_benchmark: 1233.9414, usercpu_time_millis: 77.395, usercpu_time_millis_testing: 3.801, usercpu_time_millis_training: 73.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9881, kappa: 0.9738, kb_relative_information_score: 1483.1057, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9882, predictive_accuracy: 0.9882, prior_entropy: 0.9313, recall: 0.9882, relative_absolute_error: 0.289, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.3694, scimark_benchmark: 1236.5759, usercpu_time_millis: 1.669, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 1.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.8561, kappa: 0.6746, kb_relative_information_score: 706.4049, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8829, predictive_accuracy: 0.865, prior_entropy: 0.9313, recall: 0.865, relative_absolute_error: 0.6931, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.7383, scimark_benchmark: 1236.2104, usercpu_time_millis: 53.985, usercpu_time_millis_testing: 5.293, usercpu_time_millis_training: 48.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.985, kappa: 0.9669, kb_relative_information_score: 1307.5297, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9851, predictive_accuracy: 0.9851, prior_entropy: 0.9313, recall: 0.9851, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.4614, scimark_benchmark: 1230.0786, usercpu_time_millis: 90.981, usercpu_time_millis_testing: 6.799, usercpu_time_millis_training: 84.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9861, kappa: 0.9692, kb_relative_information_score: 1393.7678, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 0.9313, recall: 0.9861, relative_absolute_error: 0.3419, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.198, root_relative_squared_error: 0.4159, scimark_benchmark: 1244.1699, usercpu_time_millis: 43.708, usercpu_time_millis_testing: 3.558, usercpu_time_millis_training: 40.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9741, kappa: 0.9425, kb_relative_information_score: 1171.0306, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9745, predictive_accuracy: 0.9742, prior_entropy: 0.9313, recall: 0.9742, relative_absolute_error: 0.4624, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.5324, scimark_benchmark: 1239.9776, usercpu_time_millis: 64.203, usercpu_time_millis_testing: 5.393, usercpu_time_millis_training: 58.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.8594, kappa: 0.682, kb_relative_information_score: 711.0958, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8866, predictive_accuracy: 0.8681, prior_entropy: 0.9313, recall: 0.8681, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.7357, scimark_benchmark: 1226.1953, usercpu_time_millis: 52.951, usercpu_time_millis_testing: 4.8, usercpu_time_millis_training: 48.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9793, kappa: 0.9541, kb_relative_information_score: 1229.4225, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9795, predictive_accuracy: 0.9794, prior_entropy: 0.9313, recall: 0.9794, relative_absolute_error: 0.4307, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.24, root_relative_squared_error: 0.5043, scimark_benchmark: 1236.3299, usercpu_time_millis: 61.975, usercpu_time_millis_testing: 4.892, usercpu_time_millis_training: 57.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.8866, kappa: 0.744, kb_relative_information_score: 803.3123, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9036, predictive_accuracy: 0.8918, prior_entropy: 0.9313, recall: 0.8918, relative_absolute_error: 0.6489, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.332, root_relative_squared_error: 0.6976, scimark_benchmark: 1226.9218, usercpu_time_millis: 17.436, usercpu_time_millis_testing: 1.642, usercpu_time_millis_training: 15.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9377, kappa: 0.8607, kb_relative_information_score: 839.937, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9404, predictive_accuracy: 0.9387, prior_entropy: 0.9313, recall: 0.9387, relative_absolute_error: 0.6353, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.6772, scimark_benchmark: 1236.7416, usercpu_time_millis: 2.014, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 1.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9918, kappa: 0.9818, kb_relative_information_score: 1483.736, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9918, predictive_accuracy: 0.9918, prior_entropy: 0.9313, recall: 0.9918, relative_absolute_error: 0.2909, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.3627, scimark_benchmark: 1236.4539, usercpu_time_millis: 81.199, usercpu_time_millis_testing: 4.706, usercpu_time_millis_training: 76.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9912, kappa: 0.9806, kb_relative_information_score: 1528.7787, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9912, predictive_accuracy: 0.9912, prior_entropy: 0.9313, recall: 0.9912, relative_absolute_error: 0.2641, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.3366, scimark_benchmark: 1249.3405, usercpu_time_millis: 75.967, usercpu_time_millis_testing: 4.31, usercpu_time_millis_training: 71.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.8405, kappa: 0.6393, kb_relative_information_score: 636.2715, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8752, predictive_accuracy: 0.8521, prior_entropy: 0.9313, recall: 0.8521, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.7659, scimark_benchmark: 1232.164, usercpu_time_millis: 16.967, usercpu_time_millis_testing: 1.663, usercpu_time_millis_training: 15.304,
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: 0.9931, f_measure: 0.9563, kappa: 0.9026, kb_relative_information_score: 952.344, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9576, predictive_accuracy: 0.9567, prior_entropy: 0.9313, recall: 0.9567, relative_absolute_error: 0.5783, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.6306, scimark_benchmark: 1241.1431, usercpu_time_millis: 14.036, usercpu_time_millis_testing: 1.053, usercpu_time_millis_training: 12.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9959, kappa: 0.9909, kb_relative_information_score: 1708.6236, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.9313, recall: 0.9959, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.2278, scimark_benchmark: 1238.4972, usercpu_time_millis: 10.794, usercpu_time_millis_testing: 0.461, usercpu_time_millis_training: 10.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9928, kappa: 0.9841, kb_relative_information_score: 1385.3997, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 0.9313, recall: 0.9928, relative_absolute_error: 0.3517, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.4063, scimark_benchmark: 1235.2147, usercpu_time_millis: 43.557, usercpu_time_millis_testing: 2, usercpu_time_millis_training: 41.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9918, kappa: 0.9818, kb_relative_information_score: 1491.6148, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9918, predictive_accuracy: 0.9918, prior_entropy: 0.9313, recall: 0.9918, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.169, root_relative_squared_error: 0.3551, scimark_benchmark: 1235.7212, usercpu_time_millis: 104.227, usercpu_time_millis_testing: 5.855, usercpu_time_millis_training: 98.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.8992, kappa: 0.7727, kb_relative_information_score: 833.1864, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9125, predictive_accuracy: 0.9031, prior_entropy: 0.9313, recall: 0.9031, relative_absolute_error: 0.6343, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.6848, scimark_benchmark: 1235.6902, usercpu_time_millis: 36.05, usercpu_time_millis_testing: 3.249, usercpu_time_millis_training: 32.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9902, kappa: 0.9784, kb_relative_information_score: 1518.8949, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9902, predictive_accuracy: 0.9902, prior_entropy: 0.9313, recall: 0.9902, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.3433, scimark_benchmark: 1243.2748, usercpu_time_millis: 28.062, usercpu_time_millis_testing: 1.826, usercpu_time_millis_training: 26.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9694, kappa: 0.932, kb_relative_information_score: 1120.5296, mean_absolute_error: 0.222, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.97, predictive_accuracy: 0.9696, prior_entropy: 0.9313, recall: 0.9696, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.264, root_relative_squared_error: 0.5547, scimark_benchmark: 1244.997, usercpu_time_millis: 18.812, usercpu_time_millis_testing: 1.419, usercpu_time_millis_training: 17.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.5163, kb_relative_information_score: 194.1505, mean_absolute_error: 0.4135, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9126, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.9263, scimark_benchmark: 1252.4025, usercpu_time_millis: 13.328, usercpu_time_millis_testing: 1.541, usercpu_time_millis_training: 11.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.5163, kb_relative_information_score: -0.0078, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1242.0554, usercpu_time_millis: 10.524, usercpu_time_millis_testing: 1.663, usercpu_time_millis_training: 8.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9579, kappa: 0.9062, kb_relative_information_score: 1030.1254, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.959, predictive_accuracy: 0.9583, prior_entropy: 0.9313, recall: 0.9583, relative_absolute_error: 0.5371, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.5969, scimark_benchmark: 1242.7616, usercpu_time_millis: 4.974, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 4.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9969, kappa: 0.9932, kb_relative_information_score: 1722.8594, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9313, recall: 0.9969, relative_absolute_error: 0.1445, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1023, root_relative_squared_error: 0.2149, scimark_benchmark: 1233.8832, usercpu_time_millis: 73.499, usercpu_time_millis_testing: 3.714, usercpu_time_millis_training: 69.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9928, kappa: 0.9841, kb_relative_information_score: 1561.8929, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 0.9313, recall: 0.9928, relative_absolute_error: 0.2442, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.3159, scimark_benchmark: 1239.1486, usercpu_time_millis: 41.407, usercpu_time_millis_testing: 2.623, usercpu_time_millis_training: 38.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9938, kappa: 0.9863, kb_relative_information_score: 1533.699, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 0.9313, recall: 0.9938, relative_absolute_error: 0.263, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.3266, scimark_benchmark: 1228.9924, usercpu_time_millis: 56.076, usercpu_time_millis_testing: 3.337, usercpu_time_millis_training: 52.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9979, kappa: 0.9955, kb_relative_information_score: 1749.6246, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.9313, recall: 0.9979, relative_absolute_error: 0.1276, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0926, root_relative_squared_error: 0.1946, scimark_benchmark: 1221.5664, usercpu_time_millis: 103.938, usercpu_time_millis_testing: 4.577, usercpu_time_millis_training: 99.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.985, kappa: 0.9669, kb_relative_information_score: 1393.3482, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9851, predictive_accuracy: 0.9851, prior_entropy: 0.9313, recall: 0.9851, relative_absolute_error: 0.3428, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.4144, scimark_benchmark: 1240.8553, usercpu_time_millis: 55.421, usercpu_time_millis_testing: 4.138, usercpu_time_millis_training: 51.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9768, kappa: 0.9486, kb_relative_information_score: 1187.1083, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9768, predictive_accuracy: 0.9768, prior_entropy: 0.9313, recall: 0.9768, relative_absolute_error: 0.4595, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.518, scimark_benchmark: 1232.0784, usercpu_time_millis: 55.226, usercpu_time_millis_testing: 5.016, usercpu_time_millis_training: 50.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9051, kappa: 0.7864, kb_relative_information_score: 751.3205, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9152, predictive_accuracy: 0.9083, prior_entropy: 0.9313, recall: 0.9083, relative_absolute_error: 0.6748, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.7167, scimark_benchmark: 1236.6707, usercpu_time_millis: 21.972, usercpu_time_millis_testing: 2.059, usercpu_time_millis_training: 19.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.8035, kappa: 0.5565, kb_relative_information_score: 536.694, mean_absolute_error: 0.3512, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8548, predictive_accuracy: 0.8223, prior_entropy: 0.9313, recall: 0.8223, relative_absolute_error: 0.7752, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3821, root_relative_squared_error: 0.8028, scimark_benchmark: 1236.4843, usercpu_time_millis: 30.315, usercpu_time_millis_testing: 3.12, usercpu_time_millis_training: 27.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9621, kappa: 0.9157, kb_relative_information_score: 1080.3884, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9629, predictive_accuracy: 0.9624, prior_entropy: 0.9313, recall: 0.9624, relative_absolute_error: 0.5108, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.5746, scimark_benchmark: 1224.3191, usercpu_time_millis: 29.283, usercpu_time_millis_testing: 2.527, usercpu_time_millis_training: 26.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1740.7529, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.1348, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0935, root_relative_squared_error: 0.1964, scimark_benchmark: 1226.0537, usercpu_time_millis: 78.643, usercpu_time_millis_testing: 3.014, usercpu_time_millis_training: 75.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9584, kappa: 0.9073, kb_relative_information_score: 860.1063, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9596, predictive_accuracy: 0.9588, prior_entropy: 0.9313, recall: 0.9588, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.6673, scimark_benchmark: 1232.2707, usercpu_time_millis: 24.008, usercpu_time_millis_testing: 2.227, usercpu_time_millis_training: 21.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.983, kappa: 0.9623, kb_relative_information_score: 1322.1383, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.983, predictive_accuracy: 0.983, prior_entropy: 0.9313, recall: 0.983, relative_absolute_error: 0.3804, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4576, scimark_benchmark: 1228.7214, usercpu_time_millis: 21.44, usercpu_time_millis_testing: 1.908, usercpu_time_millis_training: 19.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9933, kappa: 0.9852, kb_relative_information_score: 1617.981, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 0.9313, recall: 0.9933, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.2817, scimark_benchmark: 1240.9238, usercpu_time_millis: 20.837, usercpu_time_millis_testing: 1.173, usercpu_time_millis_training: 19.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9943, kappa: 0.9875, kb_relative_information_score: 1578.9067, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 0.9313, recall: 0.9943, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.3033, scimark_benchmark: 1222.0535, usercpu_time_millis: 62.155, usercpu_time_millis_testing: 3.171, usercpu_time_millis_training: 58.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.5163, kb_relative_information_score: -0.4359, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1237.9132, usercpu_time_millis: 15.496, usercpu_time_millis_testing: 1.843, usercpu_time_millis_training: 13.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9861, kappa: 0.9692, kb_relative_information_score: 1344.5364, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 0.9313, recall: 0.9861, relative_absolute_error: 0.3717, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.4386, scimark_benchmark: 1225.9079, usercpu_time_millis: 61.16, usercpu_time_millis_testing: 4.434, usercpu_time_millis_training: 56.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9835, kappa: 0.9634, kb_relative_information_score: 1324.4857, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9836, predictive_accuracy: 0.9835, prior_entropy: 0.9313, recall: 0.9835, relative_absolute_error: 0.3782, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.4571, scimark_benchmark: 1236.3672, usercpu_time_millis: 151.09, usercpu_time_millis_testing: 11.345, usercpu_time_millis_training: 139.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9974, kappa: 0.9943, kb_relative_information_score: 1730.9475, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.9313, recall: 0.9974, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.099, root_relative_squared_error: 0.208, scimark_benchmark: 1243.4681, usercpu_time_millis: 112.31, usercpu_time_millis_testing: 4.861, usercpu_time_millis_training: 107.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9979, kappa: 0.9955, kb_relative_information_score: 1771.8765, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.9313, recall: 0.9979, relative_absolute_error: 0.1132, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.1798, scimark_benchmark: 1236.4048, usercpu_time_millis: 86.3, usercpu_time_millis_testing: 4.468, usercpu_time_millis_training: 81.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9369, kappa: 0.8588, kb_relative_information_score: 833.0156, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9411, predictive_accuracy: 0.9382, prior_entropy: 0.9313, recall: 0.9382, relative_absolute_error: 0.6368, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.6835, scimark_benchmark: 1203.9459, usercpu_time_millis: 12.51, usercpu_time_millis_testing: 0.954, usercpu_time_millis_training: 11.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9348, kappa: 0.8539, kb_relative_information_score: 827.6867, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9393, predictive_accuracy: 0.9361, prior_entropy: 0.9313, recall: 0.9361, relative_absolute_error: 0.6392, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6862, scimark_benchmark: 1224.6479, usercpu_time_millis: 13.243, usercpu_time_millis_testing: 1.049, usercpu_time_millis_training: 12.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9788, kappa: 0.9532, kb_relative_information_score: 1190.5335, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9789, predictive_accuracy: 0.9789, prior_entropy: 0.9313, recall: 0.9789, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.242, root_relative_squared_error: 0.5085, scimark_benchmark: 1223.1931, usercpu_time_millis: 11.848, usercpu_time_millis_testing: 0.586, usercpu_time_millis_training: 11.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9887, kappa: 0.9749, kb_relative_information_score: 1408.9201, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9887, predictive_accuracy: 0.9887, prior_entropy: 0.9313, recall: 0.9887, relative_absolute_error: 0.3323, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.4093, scimark_benchmark: 1217.1279, usercpu_time_millis: 9.026, usercpu_time_millis_testing: 0.626, usercpu_time_millis_training: 8.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9636, kappa: 0.9192, kb_relative_information_score: 938.378, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9645, predictive_accuracy: 0.9639, prior_entropy: 0.9313, recall: 0.9639, relative_absolute_error: 0.5889, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.6332, scimark_benchmark: 1232.3998, usercpu_time_millis: 8.437, usercpu_time_millis_testing: 0.666, usercpu_time_millis_training: 7.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9969, kappa: 0.9932, kb_relative_information_score: 1727.4714, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9313, recall: 0.9969, relative_absolute_error: 0.1418, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1, root_relative_squared_error: 0.2101, scimark_benchmark: 1243.8922, usercpu_time_millis: 98.415, usercpu_time_millis_testing: 4.058, usercpu_time_millis_training: 94.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9574, kappa: 0.9052, kb_relative_information_score: 859.1543, mean_absolute_error: 0.2853, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9583, predictive_accuracy: 0.9578, prior_entropy: 0.9313, recall: 0.9578, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6674, scimark_benchmark: 1225.0272, usercpu_time_millis: 3.635, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 3.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9621, kappa: 0.9157, kb_relative_information_score: 1074.714, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9629, predictive_accuracy: 0.9624, prior_entropy: 0.9313, recall: 0.9624, relative_absolute_error: 0.513, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.5775, scimark_benchmark: 1230.9146, usercpu_time_millis: 73.255, usercpu_time_millis_testing: 5.994, usercpu_time_millis_training: 67.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9772, kappa: 0.9495, kb_relative_information_score: 1175.5835, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9775, predictive_accuracy: 0.9773, prior_entropy: 0.9313, recall: 0.9773, relative_absolute_error: 0.4625, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.5271, scimark_benchmark: 1222.3251, usercpu_time_millis: 55.455, usercpu_time_millis_testing: 3.853, usercpu_time_millis_training: 51.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9954, kappa: 0.9898, kb_relative_information_score: 1646.4448, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 0.9313, recall: 0.9954, relative_absolute_error: 0.1932, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.263, scimark_benchmark: 1229.5681, usercpu_time_millis: 51.91, usercpu_time_millis_testing: 2.653, usercpu_time_millis_training: 49.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1748.0488, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0931, root_relative_squared_error: 0.1956, scimark_benchmark: 1235.4036, usercpu_time_millis: 35.554, usercpu_time_millis_testing: 1.57, usercpu_time_millis_training: 33.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9592, kappa: 0.9097, kb_relative_information_score: 882.3656, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9592, predictive_accuracy: 0.9593, prior_entropy: 0.9313, recall: 0.9593, relative_absolute_error: 0.6167, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.658, scimark_benchmark: 1235.949, usercpu_time_millis: 33.373, usercpu_time_millis_testing: 2.609, usercpu_time_millis_training: 30.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9969, kappa: 0.9932, kb_relative_information_score: 1738.7082, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9313, recall: 0.9969, relative_absolute_error: 0.1348, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.2021, scimark_benchmark: 1231.2723, usercpu_time_millis: 33.091, usercpu_time_millis_testing: 1.237, usercpu_time_millis_training: 31.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9933, kappa: 0.9852, kb_relative_information_score: 1534.7504, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 0.9313, recall: 0.9933, relative_absolute_error: 0.2607, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.333, scimark_benchmark: 1225.3514, usercpu_time_millis: 81.655, usercpu_time_millis_testing: 4.445, usercpu_time_millis_training: 77.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9683, kappa: 0.9297, kb_relative_information_score: 1084.3718, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.969, predictive_accuracy: 0.9686, prior_entropy: 0.9313, recall: 0.9686, relative_absolute_error: 0.5099, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2716, root_relative_squared_error: 0.5707, scimark_benchmark: 1241.293, usercpu_time_millis: 49.53, usercpu_time_millis_testing: 3.425, usercpu_time_millis_training: 46.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9835, kappa: 0.9635, kb_relative_information_score: 1201.8193, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9835, predictive_accuracy: 0.9835, prior_entropy: 0.9313, recall: 0.9835, relative_absolute_error: 0.4535, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.5073, scimark_benchmark: 1234.5245, usercpu_time_millis: 28.875, usercpu_time_millis_testing: 1.68, usercpu_time_millis_training: 27.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.5198, kappa: 0.0058, kb_relative_information_score: 293.167, mean_absolute_error: 0.3953, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7742, predictive_accuracy: 0.6548, prior_entropy: 0.9313, recall: 0.6548, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8914, scimark_benchmark: 1226.7651, usercpu_time_millis: 16.677, usercpu_time_millis_testing: 1.709, usercpu_time_millis_training: 14.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9974, kappa: 0.9943, kb_relative_information_score: 1767.7557, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.9313, recall: 0.9974, relative_absolute_error: 0.1159, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.087, root_relative_squared_error: 0.1828, scimark_benchmark: 1246.2999, usercpu_time_millis: 148.458, usercpu_time_millis_testing: 6.148, usercpu_time_millis_training: 142.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9673, kappa: 0.9275, kb_relative_information_score: 1112.5067, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9678, predictive_accuracy: 0.9675, prior_entropy: 0.9313, recall: 0.9675, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.5605, scimark_benchmark: 1248.3279, usercpu_time_millis: 42.05, usercpu_time_millis_testing: 3.6, usercpu_time_millis_training: 38.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.6002, kappa: 0.1444, kb_relative_information_score: 347.1219, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7911, predictive_accuracy: 0.6929, prior_entropy: 0.9313, recall: 0.6929, relative_absolute_error: 0.8566, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.8739, scimark_benchmark: 1234.5024, usercpu_time_millis: 23.466, usercpu_time_millis_testing: 3.863, usercpu_time_millis_training: 19.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.985, kappa: 0.9669, kb_relative_information_score: 1327.7697, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9851, predictive_accuracy: 0.9851, prior_entropy: 0.9313, recall: 0.9851, relative_absolute_error: 0.3804, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.4485, scimark_benchmark: 1233.7525, usercpu_time_millis: 65.019, usercpu_time_millis_testing: 4.755, usercpu_time_millis_training: 60.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.808, kappa: 0.5663, kb_relative_information_score: 546.1382, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8579, predictive_accuracy: 0.8259, prior_entropy: 0.9313, recall: 0.8259, relative_absolute_error: 0.7718, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.7991, scimark_benchmark: 1224.2186, usercpu_time_millis: 6.962, usercpu_time_millis_testing: 0.633, usercpu_time_millis_training: 6.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9928, kappa: 0.9841, kb_relative_information_score: 1523.7391, mean_absolute_error: 0.1219, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 0.9313, recall: 0.9928, relative_absolute_error: 0.2691, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.3326, scimark_benchmark: 1210.3679, usercpu_time_millis: 8.563, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 8.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9757, kappa: 0.946, kb_relative_information_score: 1149.0829, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.976, predictive_accuracy: 0.9758, prior_entropy: 0.9313, recall: 0.9758, relative_absolute_error: 0.4758, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.5408, scimark_benchmark: 1232.4782, usercpu_time_millis: 44.029, usercpu_time_millis_testing: 3.236, usercpu_time_millis_training: 40.793,

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