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Supervised Classification on monks-problems-1

Supervised Classification on monks-problems-1

Task 146064 Supervised Classification monks-problems-1 239379 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 146.7038, mean_absolute_error: 0.3882, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7764, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8194, scimark_benchmark: 1198.8204, usercpu_time_millis: 2.122, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 1.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.8512, kappa: 0.7086, kb_relative_information_score: 154.6721, mean_absolute_error: 0.3871, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8872, predictive_accuracy: 0.8543, prior_entropy: 1, recall: 0.8543, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.7957, scimark_benchmark: 1195.3483, usercpu_time_millis: 2.232, usercpu_time_millis_testing: 0.349, usercpu_time_millis_training: 1.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.874, kappa: 0.7518, kb_relative_information_score: 279.9637, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9006, predictive_accuracy: 0.8759, prior_entropy: 1, recall: 0.8759, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.6449, scimark_benchmark: 1201.1159, usercpu_time_millis: 2.735, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 2.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 240.2437, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.5989, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.7179, scimark_benchmark: 1200.155, usercpu_time_millis: 2.098, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 1.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9149, kappa: 0.8309, kb_relative_information_score: 180.1745, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9277, predictive_accuracy: 0.9155, prior_entropy: 1, recall: 0.9155, relative_absolute_error: 0.7347, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.379, root_relative_squared_error: 0.758, scimark_benchmark: 1205.68, usercpu_time_millis: 0.962, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 0.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 161.4957, mean_absolute_error: 0.3729, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7459, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8107, scimark_benchmark: 1203.6652, usercpu_time_millis: 1.368, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 1.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.7484, kappa: 0.5252, kb_relative_information_score: 218.7454, mean_absolute_error: 0.3234, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.839, predictive_accuracy: 0.7626, prior_entropy: 1, recall: 0.7626, relative_absolute_error: 0.6468, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7314, scimark_benchmark: 1203.7372, usercpu_time_millis: 1.081, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 0.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9332, kappa: 0.8669, kb_relative_information_score: 274.3207, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9413, predictive_accuracy: 0.9335, prior_entropy: 1, recall: 0.9335, relative_absolute_error: 0.5646, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6301, scimark_benchmark: 1206.3193, usercpu_time_millis: 2.617, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 2.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9386, kappa: 0.8777, kb_relative_information_score: 326.4862, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9455, predictive_accuracy: 0.9388, prior_entropy: 1, recall: 0.9388, relative_absolute_error: 0.4595, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.285, root_relative_squared_error: 0.57, scimark_benchmark: 1205.2068, usercpu_time_millis: 2.325, usercpu_time_millis_testing: 0.302, usercpu_time_millis_training: 2.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 408.7454, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.3155, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.405, scimark_benchmark: 1206.6278, usercpu_time_millis: 3.731, usercpu_time_millis_testing: 0.52, usercpu_time_millis_training: 3.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 444.0392, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2463, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.3279, scimark_benchmark: 1199.7869, usercpu_time_millis: 3.781, usercpu_time_millis_testing: 0.571, usercpu_time_millis_training: 3.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.4751, kappa: -0.0072, kb_relative_information_score: -0.0129, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4957, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1198.4047, usercpu_time_millis: 0.655, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 0.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9167, kappa: 0.8345, kb_relative_information_score: 307.014, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.929, predictive_accuracy: 0.9173, prior_entropy: 1, recall: 0.9173, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3018, root_relative_squared_error: 0.6036, scimark_benchmark: 1200.3297, usercpu_time_millis: 1.303, usercpu_time_millis_testing: 0.235, usercpu_time_millis_training: 1.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9856, kappa: 0.9712, kb_relative_information_score: 369.2903, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9857, predictive_accuracy: 0.9856, prior_entropy: 1, recall: 0.9856, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.244, root_relative_squared_error: 0.4881, scimark_benchmark: 1199.9323, usercpu_time_millis: 1.578, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 1.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7438, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 177.3493, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7061, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8242, scimark_benchmark: 1199.9289, usercpu_time_millis: 1.039, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 0.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 488.4504, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1549, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.2171, scimark_benchmark: 1206.6042, usercpu_time_millis: 1.149, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 1.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 186.3691, mean_absolute_error: 0.3486, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6972, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.7896, scimark_benchmark: 1199.8989, usercpu_time_millis: 1.412, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 1.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 508.6757, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1095, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.1728, scimark_benchmark: 1200.1143, usercpu_time_millis: 3.955, usercpu_time_millis_testing: 0.598, usercpu_time_millis_training: 3.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9946, kappa: 0.9892, kb_relative_information_score: 363.0096, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9947, predictive_accuracy: 0.9946, prior_entropy: 1, recall: 0.9946, relative_absolute_error: 0.4077, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.4758, scimark_benchmark: 1205.9528, usercpu_time_millis: 1.591, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 1.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7052, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 189.2851, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6789, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.827, scimark_benchmark: 1202.263, usercpu_time_millis: 1.341, usercpu_time_millis_testing: 0.238, usercpu_time_millis_training: 1.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9038, kappa: 0.8094, kb_relative_information_score: 299.8442, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9199, predictive_accuracy: 0.9047, prior_entropy: 1, recall: 0.9047, relative_absolute_error: 0.5039, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.6168, scimark_benchmark: 1205.9719, usercpu_time_millis: 2.417, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 2.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 151.6498, mean_absolute_error: 0.3759, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.8488, scimark_benchmark: 1200.5565, usercpu_time_millis: 0.212, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 134.863, mean_absolute_error: 0.3956, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.8472, scimark_benchmark: 1199.9336, usercpu_time_millis: 0.369, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 0.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.8945, kappa: 0.7914, kb_relative_information_score: 241.1782, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9137, predictive_accuracy: 0.8957, prior_entropy: 1, recall: 0.8957, relative_absolute_error: 0.6211, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6822, scimark_benchmark: 1204.6027, usercpu_time_millis: 0.258, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 447.1206, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2418, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3146, scimark_benchmark: 1200.7758, usercpu_time_millis: 2.193, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 1.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.8871, kappa: 0.777, kb_relative_information_score: 296.1865, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9088, predictive_accuracy: 0.8885, prior_entropy: 1, recall: 0.8885, relative_absolute_error: 0.5062, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.6292, scimark_benchmark: 1204.334, usercpu_time_millis: 0.869, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 0.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 224.1657, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.7608, scimark_benchmark: 1205.2861, usercpu_time_millis: 2.143, usercpu_time_millis_testing: 0.359, usercpu_time_millis_training: 1.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 488.3803, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.11, root_relative_squared_error: 0.22, scimark_benchmark: 1199.6922, usercpu_time_millis: 5.295, usercpu_time_millis_testing: 0.651, usercpu_time_millis_training: 4.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 179.7036, mean_absolute_error: 0.3502, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7005, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.8254, scimark_benchmark: 1206.3522, usercpu_time_millis: 1.393, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 1.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.4912, kappa: -0.0072, kb_relative_information_score: -0.0146, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4963, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1206.7252, usercpu_time_millis: 1.304, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 1.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 107.8499, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.8396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.8726, scimark_benchmark: 1205.9947, usercpu_time_millis: 0.59, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 0.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 212.2728, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6402, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.7832, scimark_benchmark: 1203.3115, usercpu_time_millis: 1.639, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 1.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9928, kappa: 0.9856, kb_relative_information_score: 454.7681, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9929, predictive_accuracy: 0.9928, prior_entropy: 1, recall: 0.9928, relative_absolute_error: 0.2099, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3554, scimark_benchmark: 1204.4213, usercpu_time_millis: 0.75, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 498.98, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1311, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0983, root_relative_squared_error: 0.1966, scimark_benchmark: 1206.7326, usercpu_time_millis: 0.195, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.991, kappa: 0.982, kb_relative_information_score: 379.4819, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 1, recall: 0.991, relative_absolute_error: 0.364, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.4769, scimark_benchmark: 1204.4861, usercpu_time_millis: 0.774, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 0.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4932, kappa: -0.0036, kb_relative_information_score: -0.0265, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4981, predictive_accuracy: 0.4982, prior_entropy: 1, recall: 0.4982, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1206.3545, usercpu_time_millis: 0.341, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.265,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7107, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 190.1158, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6775, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8261, scimark_benchmark: 1858.3038, usercpu_time_millis: 0.149, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.4484, kappa: -0.0036, kb_relative_information_score: -0.0094, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4972, predictive_accuracy: 0.4982, prior_entropy: 1, recall: 0.4982, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 2006.6543, usercpu_time_millis: 0.678, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 0.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.824, kappa: 0.6583, kb_relative_information_score: 262.6837, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8727, predictive_accuracy: 0.8291, prior_entropy: 1, recall: 0.8291, relative_absolute_error: 0.5664, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.6759, scimark_benchmark: 1846.7525, usercpu_time_millis: 1.115, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 472.3782, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1899, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.2538, scimark_benchmark: 1862.9503, usercpu_time_millis: 4.369, usercpu_time_millis_testing: 0.502, usercpu_time_millis_training: 3.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.4932, kappa: -0.0036, kb_relative_information_score: -0.0069, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4981, predictive_accuracy: 0.4982, prior_entropy: 1, recall: 0.4982, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1867.725, usercpu_time_millis: 0.562, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 0.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.973, kappa: 0.946, kb_relative_information_score: 347.6992, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9744, predictive_accuracy: 0.973, prior_entropy: 1, recall: 0.973, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2614, root_relative_squared_error: 0.5228, scimark_benchmark: 1996.0869, usercpu_time_millis: 1.822, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 1.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 365.2364, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1, recall: 0.9982, relative_absolute_error: 0.4041, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2351, root_relative_squared_error: 0.4702, scimark_benchmark: 1868.1832, usercpu_time_millis: 4.41, usercpu_time_millis_testing: 0.522, usercpu_time_millis_training: 3.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 385.4513, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.3679, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4267, scimark_benchmark: 1860.2646, usercpu_time_millis: 4.165, usercpu_time_millis_testing: 0.544, usercpu_time_millis_training: 3.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.4949, kb_relative_information_score: -0.0041, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1986.0909, usercpu_time_millis: 1.05, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 0.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.8569, kappa: 0.7194, kb_relative_information_score: 149.7974, mean_absolute_error: 0.391, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8904, predictive_accuracy: 0.8597, prior_entropy: 1, recall: 0.8597, relative_absolute_error: 0.7821, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8026, scimark_benchmark: 1858.3038, usercpu_time_millis: 1.924, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 1.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9622, kappa: 0.9245, kb_relative_information_score: 290.9902, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9649, predictive_accuracy: 0.9622, prior_entropy: 1, recall: 0.9622, relative_absolute_error: 0.5391, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.5984, scimark_benchmark: 1863.066, usercpu_time_millis: 2.206, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 1.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 500.8843, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1279, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.1842, scimark_benchmark: 1847.3911, usercpu_time_millis: 5.111, usercpu_time_millis_testing: 0.518, usercpu_time_millis_training: 4.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.014, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 2141.7957, usercpu_time_millis: 0.653, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 0.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 458.2751, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2187, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.2907, scimark_benchmark: 1871.5019, usercpu_time_millis: 2.938, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 2.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 160.1839, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.829, scimark_benchmark: 1863.9794, usercpu_time_millis: 0.841, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 0.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 495.6733, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1004, root_relative_squared_error: 0.2007, scimark_benchmark: 1867.725, usercpu_time_millis: 1.676, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 1.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.8626, kappa: 0.7302, kb_relative_information_score: 156.3275, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8938, predictive_accuracy: 0.8651, prior_entropy: 1, recall: 0.8651, relative_absolute_error: 0.772, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.793, scimark_benchmark: 1864.9656, usercpu_time_millis: 0.757, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 0.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 477.5329, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.179, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1203, root_relative_squared_error: 0.2406, scimark_benchmark: 1864.0522, usercpu_time_millis: 3.813, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 3.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 510.0078, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1056, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.1777, scimark_benchmark: 1863.4543, usercpu_time_millis: 0.354, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7317, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 107.6007, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.8405, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.436, root_relative_squared_error: 0.8719, scimark_benchmark: 1854.1655, usercpu_time_millis: 0.559, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.824, kappa: 0.6583, kb_relative_information_score: 245.861, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8727, predictive_accuracy: 0.8291, prior_entropy: 1, recall: 0.8291, relative_absolute_error: 0.6022, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6894, scimark_benchmark: 1866.8117, usercpu_time_millis: 0.692, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 0.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.902, kappa: 0.8058, kb_relative_information_score: 175.6241, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9187, predictive_accuracy: 0.9029, prior_entropy: 1, recall: 0.9029, relative_absolute_error: 0.7412, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.7651, scimark_benchmark: 1867.725, usercpu_time_millis: 3.006, usercpu_time_millis_testing: 0.408, usercpu_time_millis_training: 2.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, f_measure: 0.4964, kappa: -0.0072, kb_relative_information_score: -0.0188, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4964, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1868.7112, usercpu_time_millis: 0.154, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 508.2774, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1114, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.1651, scimark_benchmark: 1863.066, usercpu_time_millis: 1.184, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 1.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 431.8629, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2734, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.3442, scimark_benchmark: 1861.5089, usercpu_time_millis: 5.041, usercpu_time_millis_testing: 0.556, usercpu_time_millis_training: 4.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9928, kb_relative_information_score: 384.0747, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1, recall: 0.9964, relative_absolute_error: 0.3638, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.4478, scimark_benchmark: 1857.9817, usercpu_time_millis: 3.564, usercpu_time_millis_testing: 0.452, usercpu_time_millis_training: 3.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7893, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1863.5242, usercpu_time_millis: 1.309, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 1.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 395.4573, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.3358, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.4438, scimark_benchmark: 1857.9817, usercpu_time_millis: 1.009, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 0.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 212.1569, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6404, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.7833, scimark_benchmark: 1862.5409, usercpu_time_millis: 1.574, usercpu_time_millis_testing: 0.209, usercpu_time_millis_training: 1.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.991, kappa: 0.982, kb_relative_information_score: 373.1349, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9912, predictive_accuracy: 0.991, prior_entropy: 1, recall: 0.991, relative_absolute_error: 0.38, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.4797, scimark_benchmark: 1860.5921, usercpu_time_millis: 1.732, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 1.478,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs