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Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 146065 Supervised Classification monks-problems-2 261942 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7049, f_measure: 0.5197, kappa: -0.0066, kb_relative_information_score: 30.4964, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4312, predictive_accuracy: 0.6539, prior_entropy: 0.9279, recall: 0.6539, relative_absolute_error: 0.9496, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9599, scimark_benchmark: 1091.183, usercpu_time_millis: 3.373, usercpu_time_millis_testing: 0.535, usercpu_time_millis_training: 2.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 453.846, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.3076, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.358, scimark_benchmark: 1867.6581, usercpu_time_millis: 7.564, usercpu_time_millis_testing: 1.158, usercpu_time_millis_training: 6.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5127, f_measure: 0.5213, kb_relative_information_score: -2.3431, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.0005, scimark_benchmark: 1358.3807, usercpu_time_millis: 1.549, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 1.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.6591, kappa: 0.2484, kb_relative_information_score: 79.8364, mean_absolute_error: 0.3961, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7989, predictive_accuracy: 0.7255, prior_entropy: 0.9279, recall: 0.7255, relative_absolute_error: 0.8788, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.9002, scimark_benchmark: 1135.2933, usercpu_time_millis: 2.536, usercpu_time_millis_testing: 0.433, usercpu_time_millis_training: 2.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7339, f_measure: 0.5402, kappa: 0.0317, kb_relative_information_score: 42.1293, mean_absolute_error: 0.4195, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7783, predictive_accuracy: 0.6656, prior_entropy: 0.9279, recall: 0.6656, relative_absolute_error: 0.9308, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9441, scimark_benchmark: 1091.8394, usercpu_time_millis: 2.249, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 1.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.706, f_measure: 0.5213, kb_relative_information_score: 22.1553, mean_absolute_error: 0.4347, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9645, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9695, scimark_benchmark: 1222.2726, usercpu_time_millis: 2.556, usercpu_time_millis_testing: 0.494, usercpu_time_millis_training: 2.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5211, f_measure: 0.5213, kb_relative_information_score: -4.5453, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9992, scimark_benchmark: 1094.4951, usercpu_time_millis: 1.784, usercpu_time_millis_testing: 0.331, usercpu_time_millis_training: 1.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6722, f_measure: 0.5213, kb_relative_information_score: 21.4474, mean_absolute_error: 0.434, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.963, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9716, scimark_benchmark: 1066.3779, usercpu_time_millis: 1.488, usercpu_time_millis_testing: 0.217, usercpu_time_millis_training: 1.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9967, kappa: 0.9926, kb_relative_information_score: 478.0832, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 0.9279, recall: 0.9967, relative_absolute_error: 0.2584, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.149, root_relative_squared_error: 0.314, scimark_benchmark: 1875.3104, usercpu_time_millis: 5.422, usercpu_time_millis_testing: 0.713, usercpu_time_millis_training: 4.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.55, f_measure: 0.5213, kb_relative_information_score: -3.3282, mean_absolute_error: 0.4491, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9973, scimark_benchmark: 1081.9778, usercpu_time_millis: 0.75, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 0.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5963, f_measure: 0.5213, kb_relative_information_score: 6.9541, mean_absolute_error: 0.4438, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4694, root_relative_squared_error: 0.989, scimark_benchmark: 1211.0378, usercpu_time_millis: 1.365, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 1.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.8849, kappa: 0.7387, kb_relative_information_score: 201.2266, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9008, predictive_accuracy: 0.8902, prior_entropy: 0.9279, recall: 0.8902, relative_absolute_error: 0.7165, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7521, scimark_benchmark: 1745.8807, usercpu_time_millis: 3.999, usercpu_time_millis_testing: 0.728, usercpu_time_millis_training: 3.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.8286, kappa: 0.6097, kb_relative_information_score: 158.8358, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8644, predictive_accuracy: 0.8419, prior_entropy: 0.9279, recall: 0.8419, relative_absolute_error: 0.7741, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.8064, scimark_benchmark: 1871.4349, usercpu_time_millis: 4.459, usercpu_time_millis_testing: 0.749, usercpu_time_millis_training: 3.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5213, kb_relative_information_score: 1.012, mean_absolute_error: 0.4498, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 1087.1168, usercpu_time_millis: 0.532, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 0.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.7889, kappa: 0.5209, kb_relative_information_score: 146.8816, mean_absolute_error: 0.3563, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8509, predictive_accuracy: 0.812, prior_entropy: 0.9279, recall: 0.812, relative_absolute_error: 0.7905, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.829, scimark_benchmark: 1863.4543, usercpu_time_millis: 3.03, usercpu_time_millis_testing: 0.511, usercpu_time_millis_training: 2.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5221, f_measure: 0.5213, kb_relative_information_score: -2.0206, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9982, scimark_benchmark: 1867.725, usercpu_time_millis: 1.473, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 1.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7817, f_measure: 0.5213, kb_relative_information_score: 24.5384, mean_absolute_error: 0.4345, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.964, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4591, root_relative_squared_error: 0.9673, scimark_benchmark: 1871.4349, usercpu_time_millis: 0.956, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 0.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7343, f_measure: 0.5365, kappa: 0.0254, kb_relative_information_score: 42.148, mean_absolute_error: 0.4211, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7776, predictive_accuracy: 0.6639, prior_entropy: 0.9279, recall: 0.6639, relative_absolute_error: 0.9343, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9472, scimark_benchmark: 1858.4577, usercpu_time_millis: 1.451, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 1.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.5213, kb_relative_information_score: 69.09, mean_absolute_error: 0.409, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9074, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.9163, scimark_benchmark: 1867.1999, usercpu_time_millis: 1.552, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 1.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.5213, kb_relative_information_score: -0.2981, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1863.1711, usercpu_time_millis: 0.505, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5313, f_measure: 0.5213, kb_relative_information_score: -3.8421, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4737, root_relative_squared_error: 0.998, scimark_benchmark: 1781.3042, usercpu_time_millis: 0.571, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 0.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.7366, kappa: 0.4068, kb_relative_information_score: 107.994, mean_absolute_error: 0.3799, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8236, predictive_accuracy: 0.7737, prior_entropy: 0.9279, recall: 0.7737, relative_absolute_error: 0.8429, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.864, scimark_benchmark: 1853.3841, usercpu_time_millis: 1.257, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 1.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7418, f_measure: 0.5213, kb_relative_information_score: 26.3559, mean_absolute_error: 0.4318, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9631, scimark_benchmark: 1749.5957, usercpu_time_millis: 1.246, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 1.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.7196, kappa: 0.372, kb_relative_information_score: 113.82, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8262, predictive_accuracy: 0.7637, prior_entropy: 0.9279, recall: 0.7637, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.8661, scimark_benchmark: 1877.2162, usercpu_time_millis: 0.804, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 0.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.5792, kappa: 0.0997, kb_relative_information_score: 65.6773, mean_absolute_error: 0.4052, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7865, predictive_accuracy: 0.6839, prior_entropy: 0.9279, recall: 0.6839, relative_absolute_error: 0.8991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.9156, scimark_benchmark: 1859.5971, usercpu_time_millis: 3.21, usercpu_time_millis_testing: 0.488, usercpu_time_millis_training: 2.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.5213, kb_relative_information_score: 9.5811, mean_absolute_error: 0.4437, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4679, root_relative_squared_error: 0.9859, scimark_benchmark: 1873.0711, usercpu_time_millis: 1.329, usercpu_time_millis_testing: 0.256, usercpu_time_millis_training: 1.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.7933, kappa: 0.5307, kb_relative_information_score: 143.705, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.853, predictive_accuracy: 0.8153, prior_entropy: 0.9279, recall: 0.8153, relative_absolute_error: 0.7946, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.393, root_relative_squared_error: 0.8281, scimark_benchmark: 1859.9517, usercpu_time_millis: 0.825, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 0.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5346, f_measure: 0.5213, kb_relative_information_score: -1.8389, mean_absolute_error: 0.4482, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9968, scimark_benchmark: 1746.63, usercpu_time_millis: 1.467, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 1.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9304, kappa: 0.8433, kb_relative_information_score: 280.8261, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9341, predictive_accuracy: 0.9318, prior_entropy: 0.9279, recall: 0.9318, relative_absolute_error: 0.6009, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.6476, scimark_benchmark: 1869.1029, usercpu_time_millis: 1.004, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 0.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5213, kb_relative_information_score: -0.4348, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 1749.3291, usercpu_time_millis: 0.589, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 0.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.507, f_measure: 0.5213, kb_relative_information_score: -3.9059, mean_absolute_error: 0.4491, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1749.7962, usercpu_time_millis: 1.736, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 1.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.985, kappa: 0.9668, kb_relative_information_score: 392.2188, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.985, predictive_accuracy: 0.985, prior_entropy: 0.9279, recall: 0.985, relative_absolute_error: 0.4135, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.4756, scimark_benchmark: 1867.6581, usercpu_time_millis: 0.436, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5148, f_measure: 0.5213, kb_relative_information_score: -5.7303, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0002, scimark_benchmark: 1866.8213, usercpu_time_millis: 0.597, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5265, f_measure: 0.5213, kb_relative_information_score: -3.0154, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9989, scimark_benchmark: 1872.8797, usercpu_time_millis: 0.803, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 0.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6191, f_measure: 0.5213, kb_relative_information_score: 8.4466, mean_absolute_error: 0.442, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4673, root_relative_squared_error: 0.9846, scimark_benchmark: 1746.63, usercpu_time_millis: 0.175, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.698, f_measure: 0.5213, kb_relative_information_score: 26.5861, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9566, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9653, scimark_benchmark: 1851.8567, usercpu_time_millis: 1.303, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 0.937,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9816, kappa: 0.9589, kb_relative_information_score: 357.1144, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.982, predictive_accuracy: 0.9817, prior_entropy: 0.9279, recall: 0.9817, relative_absolute_error: 0.4791, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.5317, scimark_benchmark: 1876.8275, usercpu_time_millis: 2.329, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 2.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.5213, kb_relative_information_score: 28.8554, mean_absolute_error: 0.4317, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9577, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.9618, scimark_benchmark: 1928.6399, usercpu_time_millis: 2.155, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 1.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5185, f_measure: 0.5213, kb_relative_information_score: -4.9324, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4745, root_relative_squared_error: 0.9996, scimark_benchmark: 1924.6332, usercpu_time_millis: 1.466, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 1.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5932, f_measure: 0.5213, kb_relative_information_score: 1.0265, mean_absolute_error: 0.4482, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.472, root_relative_squared_error: 0.9945, scimark_benchmark: 1858.4623, usercpu_time_millis: 0.354, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 0.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1042, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1919.2147, usercpu_time_millis: 1.148, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.5213, kb_relative_information_score: 0.0085, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1924.6332, usercpu_time_millis: 0.462, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, f_measure: 0.5213, kb_relative_information_score: 55.3531, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9216, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.9307, scimark_benchmark: 1853.1067, usercpu_time_millis: 1.713, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 1.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9494, kappa: 0.8863, kb_relative_information_score: 289.007, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9516, predictive_accuracy: 0.9501, prior_entropy: 0.9279, recall: 0.9501, relative_absolute_error: 0.5878, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.6353, scimark_benchmark: 1856.4026, usercpu_time_millis: 1.394, usercpu_time_millis_testing: 0.212, usercpu_time_millis_training: 1.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.8589, kappa: 0.6788, kb_relative_information_score: 186.306, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8905, predictive_accuracy: 0.8686, prior_entropy: 0.9279, recall: 0.8686, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.369, root_relative_squared_error: 0.7774, scimark_benchmark: 1769.2752, usercpu_time_millis: 5.594, usercpu_time_millis_testing: 1.023, usercpu_time_millis_training: 4.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.5289, kappa: 0.0127, kb_relative_information_score: 90.3278, mean_absolute_error: 0.3983, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7762, predictive_accuracy: 0.6606, prior_entropy: 0.9279, recall: 0.6606, relative_absolute_error: 0.8837, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.8937, scimark_benchmark: 1815.0784, usercpu_time_millis: 4.01, usercpu_time_millis_testing: 0.787, usercpu_time_millis_training: 3.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, f_measure: 0.5213, kb_relative_information_score: 31.4813, mean_absolute_error: 0.4295, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.953, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.958, scimark_benchmark: 1844.1624, usercpu_time_millis: 1.115, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 0.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9544, kappa: 0.8976, kb_relative_information_score: 302.442, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9569, predictive_accuracy: 0.9551, prior_entropy: 0.9279, recall: 0.9551, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.6172, scimark_benchmark: 1789.4709, usercpu_time_millis: 5.208, usercpu_time_millis_testing: 0.869, usercpu_time_millis_training: 4.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6125, f_measure: 0.5213, kb_relative_information_score: 6.0883, mean_absolute_error: 0.4439, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9849, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4687, root_relative_squared_error: 0.9874, scimark_benchmark: 1804.8916, usercpu_time_millis: 0.935, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 0.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.5213, kb_relative_information_score: 2.2183, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.989, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4708, root_relative_squared_error: 0.9919, scimark_benchmark: 1805.7019, usercpu_time_millis: 0.513, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 544.9248, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.123, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0834, root_relative_squared_error: 0.1757, scimark_benchmark: 1797.779, usercpu_time_millis: 4.133, usercpu_time_millis_testing: 0.585, usercpu_time_millis_training: 3.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.853, kappa: 0.6653, kb_relative_information_score: 192.1309, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.887, predictive_accuracy: 0.8636, prior_entropy: 0.9279, recall: 0.8636, relative_absolute_error: 0.7331, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.7696, scimark_benchmark: 1788.1174, usercpu_time_millis: 1.333, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 1.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7755, f_measure: 0.5213, kb_relative_information_score: 39.0748, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9406, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9484, scimark_benchmark: 1756.7868, usercpu_time_millis: 1.182, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 0.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5358, f_measure: 0.5213, kb_relative_information_score: -0.009, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9966, scimark_benchmark: 1819.5706, usercpu_time_millis: 2.398, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 2.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6367, f_measure: 0.5213, kb_relative_information_score: 9.2875, mean_absolute_error: 0.4426, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.982, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9851, scimark_benchmark: 1758.601, usercpu_time_millis: 1.965, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 1.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 587.312, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.0303, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0347, root_relative_squared_error: 0.0731, scimark_benchmark: 1755.0518, usercpu_time_millis: 1.518, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 1.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.7852, kappa: 0.5125, kb_relative_information_score: 130.3269, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.846, predictive_accuracy: 0.8087, prior_entropy: 0.9279, recall: 0.8087, relative_absolute_error: 0.8119, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8397, scimark_benchmark: 1770.0423, usercpu_time_millis: 1.745, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 1.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7652, f_measure: 0.5213, kb_relative_information_score: 21.1289, mean_absolute_error: 0.4363, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9679, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.971, scimark_benchmark: 1795.5444, usercpu_time_millis: 2.327, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 1.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.2119, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1787.7061, usercpu_time_millis: 1.04, usercpu_time_millis_testing: 0.335, usercpu_time_millis_training: 0.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5249, f_measure: 0.5213, kb_relative_information_score: -1.229, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4737, root_relative_squared_error: 0.998, scimark_benchmark: 1789.3691, usercpu_time_millis: 0.918, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 0.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.6762, kappa: 0.2634, kb_relative_information_score: 108.5143, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6912, predictive_accuracy: 0.7055, prior_entropy: 0.9279, recall: 0.7055, relative_absolute_error: 0.8224, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.8859, scimark_benchmark: 1758.0751, usercpu_time_millis: 1.511, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 1.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, f_measure: 0.5213, kb_relative_information_score: -0.0327, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1760.6896, usercpu_time_millis: 1.04, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 0.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7057, f_measure: 0.5213, kb_relative_information_score: 20.7041, mean_absolute_error: 0.4345, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.964, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4594, root_relative_squared_error: 0.9679, scimark_benchmark: 1798.2584, usercpu_time_millis: 1.614, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 1.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7077, f_measure: 0.5281, kappa: 0.0094, kb_relative_information_score: 34.7649, mean_absolute_error: 0.425, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6615, predictive_accuracy: 0.6589, prior_entropy: 0.9279, recall: 0.6589, relative_absolute_error: 0.9429, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4545, root_relative_squared_error: 0.9576, scimark_benchmark: 1788.8897, usercpu_time_millis: 0.319, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 0.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8545, f_measure: 0.738, kappa: 0.4081, kb_relative_information_score: 116.3685, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.809, predictive_accuracy: 0.772, prior_entropy: 0.9279, recall: 0.772, relative_absolute_error: 0.826, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8631, scimark_benchmark: 1784.5992, usercpu_time_millis: 0.313, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 0.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7357, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: 34.5595, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7754, predictive_accuracy: 0.6589, prior_entropy: 0.9279, recall: 0.6589, relative_absolute_error: 0.9443, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9531, scimark_benchmark: 1757.3692, usercpu_time_millis: 0.708, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 0.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 524.3487, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.1657, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.2206, scimark_benchmark: 1767.1595, usercpu_time_millis: 1.487, usercpu_time_millis_testing: 0.198, usercpu_time_millis_training: 1.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5203, f_measure: 0.5213, kb_relative_information_score: -3.443, mean_absolute_error: 0.4484, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9984, scimark_benchmark: 1759.8744, usercpu_time_millis: 0.478, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.435,

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