Task
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: 0.4942, f_measure: 0.4964, kappa: -0.0072, kb_relative_information_score: -0.0113, 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: 1368.2753, usercpu_time_millis: 0.934, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 0.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9531, kappa: 0.9065, kb_relative_information_score: 295.1808, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9572, predictive_accuracy: 0.9532, prior_entropy: 1, recall: 0.9532, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.5951, scimark_benchmark: 1374.1543, usercpu_time_millis: 2.876, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 2.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.991, kappa: 0.982, kb_relative_information_score: 393.0034, mean_absolute_error: 0.1724, 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: 0.3449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4355, scimark_benchmark: 1374.2057, usercpu_time_millis: 0.201, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, f_measure: 0.4964, kappa: -0.0072, kb_relative_information_score: -0.0101, 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: 1377.0114, usercpu_time_millis: 0.691, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 0.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9784, kappa: 0.9568, kb_relative_information_score: 356.9876, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9793, predictive_accuracy: 0.9784, prior_entropy: 1, recall: 0.9784, relative_absolute_error: 0.4114, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2522, root_relative_squared_error: 0.5045, scimark_benchmark: 1379.8896, usercpu_time_millis: 0.439, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7017, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 189.3192, mean_absolute_error: 0.3394, 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: 0.6788, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8273, scimark_benchmark: 1373.5832, usercpu_time_millis: 1.125, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 0.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7186, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 139.3266, mean_absolute_error: 0.3912, 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: 0.7823, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.8448, scimark_benchmark: 1376.2648, usercpu_time_millis: 0.901, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 0.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.7463, kappa: 0.5216, kb_relative_information_score: 114.8551, mean_absolute_error: 0.4171, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8382, predictive_accuracy: 0.7608, prior_entropy: 1, recall: 0.7608, relative_absolute_error: 0.8342, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8531, scimark_benchmark: 1370.3754, usercpu_time_millis: 1.403, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 1.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 469.2971, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1959, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.2634, scimark_benchmark: 1378.6452, usercpu_time_millis: 0.956, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 0.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9075, kappa: 0.8165, kb_relative_information_score: 178.206, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9225, predictive_accuracy: 0.9083, prior_entropy: 1, recall: 0.9083, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7612, scimark_benchmark: 1369.8293, usercpu_time_millis: 1.609, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 1.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.874, kappa: 0.7518, kb_relative_information_score: 273.447, mean_absolute_error: 0.2771, 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: 0.5542, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6493, scimark_benchmark: 1366.0625, usercpu_time_millis: 0.091, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.7653, kappa: 0.554, kb_relative_information_score: 121.9615, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8458, predictive_accuracy: 0.777, prior_entropy: 1, recall: 0.777, relative_absolute_error: 0.8241, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.8426, scimark_benchmark: 1377.6819, usercpu_time_millis: 0.868, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 0.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 416.8143, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.3024, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.3792, scimark_benchmark: 1375.1493, usercpu_time_millis: 3.557, usercpu_time_millis_testing: 0.479, usercpu_time_millis_training: 3.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 425.4383, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.286, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.3588, scimark_benchmark: 1367.267, usercpu_time_millis: 2.888, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 2.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 187.4521, mean_absolute_error: 0.3467, 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: 0.6935, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.7922, scimark_benchmark: 1366.1908, usercpu_time_millis: 0.979, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 0.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.4912, kappa: -0.0072, kb_relative_information_score: -0.1366, mean_absolute_error: 0.5001, 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: 1.0002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0009, scimark_benchmark: 1373.8289, usercpu_time_millis: 0.059, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, f_measure: 0.4932, kappa: -0.0036, kb_relative_information_score: -0.0191, 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: 1376.2866, usercpu_time_millis: 0.819, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 0.669,
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: 0.496, f_measure: 0.4484, kappa: -0.0036, kb_relative_information_score: -0.0167, 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: 1372.0392, usercpu_time_millis: 0.547, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.4774, kappa: -0.0036, kb_relative_information_score: -0.0108, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4979, 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: 1370.7842, usercpu_time_millis: 0.551, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 0.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.8201, kappa: 0.6511, kb_relative_information_score: 263.2993, mean_absolute_error: 0.2829, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8707, predictive_accuracy: 0.8255, prior_entropy: 1, recall: 0.8255, relative_absolute_error: 0.5657, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6742, scimark_benchmark: 1370.4607, usercpu_time_millis: 1.014, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 483.8684, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1135, root_relative_squared_error: 0.2269, scimark_benchmark: 1370.7506, usercpu_time_millis: 4.368, usercpu_time_millis_testing: 0.495, usercpu_time_millis_training: 3.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.7386, kappa: 0.5072, kb_relative_information_score: 233.3792, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8289, predictive_accuracy: 0.7536, prior_entropy: 1, recall: 0.7536, relative_absolute_error: 0.6009, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7492, scimark_benchmark: 1366.6216, usercpu_time_millis: 1.705, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 1.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 385.1886, mean_absolute_error: 0.1795, 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: 0.3591, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.227, root_relative_squared_error: 0.4541, scimark_benchmark: 1374.084, usercpu_time_millis: 2.417, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 2.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.7484, kappa: 0.5252, kb_relative_information_score: 115.9641, mean_absolute_error: 0.4162, 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: 0.8325, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.8517, scimark_benchmark: 1379.1051, usercpu_time_millis: 1.026, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 0.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 504.5704, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1198, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0868, root_relative_squared_error: 0.1737, scimark_benchmark: 1363.7506, usercpu_time_millis: 0.99, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 0.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, f_measure: 0.4751, kappa: -0.0072, kb_relative_information_score: -0.1378, mean_absolute_error: 0.5001, 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: 1.0002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0004, scimark_benchmark: 1371.8076, usercpu_time_millis: 0.059, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.04,
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: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 428.899, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2791, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.3514, scimark_benchmark: 1377.2181, usercpu_time_millis: 2.83, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 2.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 371.685, mean_absolute_error: 0.1972, 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: 0.3943, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.4532, scimark_benchmark: 1377.3199, usercpu_time_millis: 2.499, usercpu_time_millis_testing: 0.56, usercpu_time_millis_training: 1.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 459.6913, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2162, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.2847, scimark_benchmark: 1365.4494, usercpu_time_millis: 1.704, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 1.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 463.4491, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.2793, scimark_benchmark: 1366.3272, usercpu_time_millis: 1.272, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 1.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9386, kappa: 0.8777, kb_relative_information_score: 271.7661, mean_absolute_error: 0.2849, 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: 0.5699, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6329, scimark_benchmark: 1377.1704, usercpu_time_millis: 2.941, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 2.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 449.1928, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.236, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.3153, scimark_benchmark: 1367.7779, usercpu_time_millis: 0.251, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 40.4133, mean_absolute_error: 0.473, 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: 0.9461, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4748, root_relative_squared_error: 0.9496, scimark_benchmark: 1369.9346, usercpu_time_millis: 1.118, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 0.93,
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: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 468.9147, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.196, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1339, root_relative_squared_error: 0.2677, scimark_benchmark: 1367.2201, usercpu_time_millis: 3.695, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 3.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 484.9868, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.2255, scimark_benchmark: 1376.8966, usercpu_time_millis: 4.136, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 3.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 482.9407, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.167, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.115, root_relative_squared_error: 0.23, scimark_benchmark: 1365.7114, usercpu_time_millis: 2.252, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 1.956,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9568, kappa: 0.9137, kb_relative_information_score: 335.7713, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9603, predictive_accuracy: 0.9568, prior_entropy: 1, recall: 0.9568, relative_absolute_error: 0.4449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.5515, scimark_benchmark: 1732.9613, usercpu_time_millis: 0.435, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, f_measure: 0.7312, kappa: 0.4964, kb_relative_information_score: 53.5413, mean_absolute_error: 0.4637, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8325, predictive_accuracy: 0.7482, prior_entropy: 1, recall: 0.7482, relative_absolute_error: 0.9273, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9332, scimark_benchmark: 1753.1858, usercpu_time_millis: 0.913, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 0.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7267, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 177.0802, 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: 0.413, root_relative_squared_error: 0.826, scimark_benchmark: 1736.1249, usercpu_time_millis: 0.615, usercpu_time_millis_testing: 0.238, usercpu_time_millis_training: 0.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9928, kb_relative_information_score: 389.832, mean_absolute_error: 0.1755, 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: 0.3509, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.4433, scimark_benchmark: 1748.159, usercpu_time_millis: 0.382, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 0.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7229, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 75.0057, mean_absolute_error: 0.4471, 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: 0.8942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4541, root_relative_squared_error: 0.9081, scimark_benchmark: 1754.2741, usercpu_time_millis: 0.737, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9928, kappa: 0.9856, kb_relative_information_score: 369.4492, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 1, recall: 0.9928, relative_absolute_error: 0.3949, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.4651, scimark_benchmark: 1105.6303, usercpu_time_millis: 4.359, usercpu_time_millis_testing: 0.579, usercpu_time_millis_training: 3.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5, kb_relative_information_score: -0.0032, 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: 1102.3914, usercpu_time_millis: 1.543, usercpu_time_millis_testing: 0.463, usercpu_time_millis_training: 1.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.7716, kappa: 0.5647, kb_relative_information_score: 190.4243, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8484, predictive_accuracy: 0.7824, prior_entropy: 1, recall: 0.7824, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7575, scimark_benchmark: 1736.7669, usercpu_time_millis: 1.017, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 0.842,
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: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 382.7177, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.373, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.4325, scimark_benchmark: 2160.7925, usercpu_time_millis: 3.538, usercpu_time_millis_testing: 0.435, usercpu_time_millis_training: 3.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 214.9564, 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: 0.3827, root_relative_squared_error: 0.7653, scimark_benchmark: 1749.8153, usercpu_time_millis: 1.85, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 1.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 385.2654, mean_absolute_error: 0.1809, 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: 0.3617, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.4458, scimark_benchmark: 1750.2682, usercpu_time_millis: 1.749, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 1.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9946, kappa: 0.9892, kb_relative_information_score: 370.0688, mean_absolute_error: 0.1952, 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: 0.3905, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.4735, scimark_benchmark: 1741.1835, usercpu_time_millis: 1.936, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 1.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.774, kappa: 0.5683, kb_relative_information_score: 121.2076, mean_absolute_error: 0.4122, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8466, predictive_accuracy: 0.7842, prior_entropy: 1, recall: 0.7842, relative_absolute_error: 0.8243, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.8447, scimark_benchmark: 1735.1319, usercpu_time_millis: 0.508, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.7716, kappa: 0.5647, kb_relative_information_score: 181.7076, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8484, predictive_accuracy: 0.7824, prior_entropy: 1, recall: 0.7824, relative_absolute_error: 0.7188, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7704, scimark_benchmark: 1860.2646, usercpu_time_millis: 1.635, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 1.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 180.1396, mean_absolute_error: 0.3537, 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: 0.7074, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8005, scimark_benchmark: 1802.8758, usercpu_time_millis: 0.702, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, f_measure: 0.4932, kappa: -0.0036, kb_relative_information_score: -0.016, 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: 1740.8318, usercpu_time_millis: 0.448, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 121.9745, mean_absolute_error: 0.4089, 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: 0.8178, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.8515, scimark_benchmark: 1755.27, usercpu_time_millis: 1.44, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 1.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 207.4844, mean_absolute_error: 0.3261, 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: 0.6522, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.39, root_relative_squared_error: 0.78, scimark_benchmark: 1741.1738, usercpu_time_millis: 0.42, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 231.0913, mean_absolute_error: 0.3066, 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: 0.6133, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.7362, scimark_benchmark: 1752.3811, usercpu_time_millis: 0.861, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 0.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 215.8331, mean_absolute_error: 0.3176, 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: 0.6351, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.771, scimark_benchmark: 1733.8094, usercpu_time_millis: 0.958, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 0.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9094, kappa: 0.8201, kb_relative_information_score: 178.8134, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9227, predictive_accuracy: 0.9101, prior_entropy: 1, recall: 0.9101, relative_absolute_error: 0.7363, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.7606, scimark_benchmark: 1748.0598, usercpu_time_millis: 0.415, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 478.6651, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1764, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1195, root_relative_squared_error: 0.2389, scimark_benchmark: 1711.0466, usercpu_time_millis: 6.298, usercpu_time_millis_testing: 0.704, usercpu_time_millis_training: 5.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 370.1295, mean_absolute_error: 0.1987, 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: 0.3974, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.228, root_relative_squared_error: 0.4561, scimark_benchmark: 1761.3887, usercpu_time_millis: 4.286, usercpu_time_millis_testing: 0.52, usercpu_time_millis_training: 3.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.8569, kappa: 0.7194, kb_relative_information_score: 159.6814, mean_absolute_error: 0.3828, 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: 0.7657, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.7889, scimark_benchmark: 1718.29, usercpu_time_millis: 2.876, usercpu_time_millis_testing: 0.472, usercpu_time_millis_training: 2.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 464.9221, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.205, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.2745, scimark_benchmark: 1775.6025, usercpu_time_millis: 2.918, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 2.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 431.0365, mean_absolute_error: 0.1357, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.18, root_relative_squared_error: 0.3601, scimark_benchmark: 1774.6049, usercpu_time_millis: 2.974, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 2.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.7355, kappa: 0.5036, kb_relative_information_score: 164.3677, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8341, predictive_accuracy: 0.7518, prior_entropy: 1, recall: 0.7518, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.397, root_relative_squared_error: 0.7941, scimark_benchmark: 1776.3164, usercpu_time_millis: 2.218, usercpu_time_millis_testing: 0.316, usercpu_time_millis_training: 1.902,

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

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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

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