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Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 146065 Supervised Classification monks-problems-2 261557 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.8757, kappa: 0.7184, kb_relative_information_score: 207.5575, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.885, predictive_accuracy: 0.8802, prior_entropy: 0.9279, recall: 0.8802, relative_absolute_error: 0.7013, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.7494, scimark_benchmark: 1818.805, usercpu_time_millis: 0.113, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6347, f_measure: 0.5213, kb_relative_information_score: 16.9196, mean_absolute_error: 0.4351, 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: 0.9653, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4646, root_relative_squared_error: 0.979, scimark_benchmark: 1827.3584, usercpu_time_millis: 0.381, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.5289, kappa: 0.0127, kb_relative_information_score: 73.7186, mean_absolute_error: 0.406, 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: 0.9009, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.9111, scimark_benchmark: 1823.2664, usercpu_time_millis: 0.188, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9021, kappa: 0.7784, kb_relative_information_score: 228.0639, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9103, predictive_accuracy: 0.9052, prior_entropy: 0.9279, recall: 0.9052, relative_absolute_error: 0.6746, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7224, scimark_benchmark: 1822.8673, usercpu_time_millis: 0.368, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.6648, kappa: 0.2596, kb_relative_information_score: 83.6865, mean_absolute_error: 0.3933, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8009, predictive_accuracy: 0.7288, prior_entropy: 0.9279, recall: 0.7288, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.8965, scimark_benchmark: 1751.7173, usercpu_time_millis: 0.949, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 0.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4918, f_measure: 0.5213, kb_relative_information_score: -0.0336, 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: 1047.2259, usercpu_time_millis: 0.697, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 0.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.6428, kappa: 0.2177, kb_relative_information_score: 88.5986, mean_absolute_error: 0.3924, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8022, predictive_accuracy: 0.7171, prior_entropy: 0.9279, recall: 0.7171, relative_absolute_error: 0.8706, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.8922, scimark_benchmark: 1053.1531, usercpu_time_millis: 3.497, usercpu_time_millis_testing: 0.488, usercpu_time_millis_training: 3.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9664, kappa: 0.9249, kb_relative_information_score: 324.178, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9673, predictive_accuracy: 0.9667, prior_entropy: 0.9279, recall: 0.9667, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.277, root_relative_squared_error: 0.5835, scimark_benchmark: 1764.313, usercpu_time_millis: 7.558, usercpu_time_millis_testing: 0.808, usercpu_time_millis_training: 6.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.7964, kappa: 0.5368, kb_relative_information_score: 136.2153, mean_absolute_error: 0.3619, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8411, predictive_accuracy: 0.8153, prior_entropy: 0.9279, recall: 0.8153, relative_absolute_error: 0.8029, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8345, scimark_benchmark: 1771.2558, usercpu_time_millis: 0.767, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.5213, kb_relative_information_score: -5.801, mean_absolute_error: 0.4501, 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: 0.9986, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.001, scimark_benchmark: 1058.3164, usercpu_time_millis: 1.064, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 0.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5976, f_measure: 0.5213, kb_relative_information_score: 5.4021, mean_absolute_error: 0.4443, 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: 0.9859, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.99, scimark_benchmark: 1116.249, usercpu_time_millis: 0.19, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9817, kappa: 0.9595, kb_relative_information_score: 418.2549, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9818, predictive_accuracy: 0.9817, prior_entropy: 0.9279, recall: 0.9817, relative_absolute_error: 0.3671, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4348, scimark_benchmark: 1762.8908, usercpu_time_millis: 1.333, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 1.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.5213, kb_relative_information_score: 34.2446, mean_absolute_error: 0.4265, 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: 0.9463, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9542, scimark_benchmark: 1057.9649, usercpu_time_millis: 2.939, usercpu_time_millis_testing: 0.49, usercpu_time_millis_training: 2.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, f_measure: 0.5281, kappa: 0.0094, kb_relative_information_score: 48.0791, mean_absolute_error: 0.4165, 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: 0.9241, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.9356, scimark_benchmark: 1117.1574, usercpu_time_millis: 0.897, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 0.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: 36.5542, mean_absolute_error: 0.4247, 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: 0.9424, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9541, scimark_benchmark: 1048.5787, usercpu_time_millis: 3.982, usercpu_time_millis_testing: 0.599, usercpu_time_millis_training: 3.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.5609, kappa: 0.0657, kb_relative_information_score: 52.471, mean_absolute_error: 0.4134, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7538, predictive_accuracy: 0.6739, prior_entropy: 0.9279, recall: 0.6739, relative_absolute_error: 0.9172, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.9338, scimark_benchmark: 1125.9101, usercpu_time_millis: 5.012, usercpu_time_millis_testing: 0.704, usercpu_time_millis_training: 4.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.8078, kappa: 0.5632, kb_relative_information_score: 157.6397, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.863, predictive_accuracy: 0.827, prior_entropy: 0.9279, recall: 0.827, relative_absolute_error: 0.781, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.8121, scimark_benchmark: 1763.776, usercpu_time_millis: 2.231, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 1.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.6025, kappa: 0.1418, kb_relative_information_score: 69.7975, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7919, predictive_accuracy: 0.6955, prior_entropy: 0.9279, recall: 0.6955, relative_absolute_error: 0.8927, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4321, root_relative_squared_error: 0.9104, scimark_benchmark: 1049.9728, usercpu_time_millis: 4.853, usercpu_time_millis_testing: 0.724, usercpu_time_millis_training: 4.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9833, kappa: 0.9628, kb_relative_information_score: 361.2074, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9835, predictive_accuracy: 0.9834, prior_entropy: 0.9279, recall: 0.9834, relative_absolute_error: 0.4707, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.25, root_relative_squared_error: 0.5267, scimark_benchmark: 1115.3693, usercpu_time_millis: 10.945, usercpu_time_millis_testing: 1.313, usercpu_time_millis_training: 9.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5458, f_measure: 0.5213, kb_relative_information_score: -2.3554, mean_absolute_error: 0.4492, 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: 0.9967, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9978, scimark_benchmark: 1765.6145, usercpu_time_millis: 0.928, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 0.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.8014, kappa: 0.5488, kb_relative_information_score: 153.1289, mean_absolute_error: 0.3541, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8599, predictive_accuracy: 0.822, prior_entropy: 0.9279, recall: 0.822, relative_absolute_error: 0.7857, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.8168, scimark_benchmark: 1051.8829, usercpu_time_millis: 7.086, usercpu_time_millis_testing: 0.977, usercpu_time_millis_training: 6.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.6962, kappa: 0.3238, kb_relative_information_score: 106.2513, mean_absolute_error: 0.3809, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8182, predictive_accuracy: 0.7488, prior_entropy: 0.9279, recall: 0.7488, relative_absolute_error: 0.845, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8715, scimark_benchmark: 1767.6013, usercpu_time_millis: 1.327, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 1.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, f_measure: 0.5213, kb_relative_information_score: 31.9203, 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: 0.4546, root_relative_squared_error: 0.9578, scimark_benchmark: 1113.2531, usercpu_time_millis: 3.427, usercpu_time_millis_testing: 0.546, usercpu_time_millis_training: 2.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9195, kappa: 0.8182, kb_relative_information_score: 234.624, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9267, predictive_accuracy: 0.9218, prior_entropy: 0.9279, recall: 0.9218, relative_absolute_error: 0.6657, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.7103, scimark_benchmark: 1053.2047, usercpu_time_millis: 0.512, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7267, f_measure: 0.5213, kb_relative_information_score: 27.1477, mean_absolute_error: 0.431, 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: 0.9564, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9626, scimark_benchmark: 1785.5813, usercpu_time_millis: 2.649, usercpu_time_millis_testing: 0.313, usercpu_time_millis_training: 2.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.5213, kb_relative_information_score: 48.2164, mean_absolute_error: 0.4186, 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: 0.9288, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4454, root_relative_squared_error: 0.9384, scimark_benchmark: 1739.8842, usercpu_time_millis: 1.855, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 1.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.5213, kb_relative_information_score: 53.8381, mean_absolute_error: 0.4162, 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: 0.9234, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.9326, scimark_benchmark: 1749.4413, usercpu_time_millis: 1.117, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 0.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.518, f_measure: 0.5213, kb_relative_information_score: -4.5906, 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: 0.4745, root_relative_squared_error: 0.9996, scimark_benchmark: 1815.292, usercpu_time_millis: 1.586, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 1.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.7399, kappa: 0.4136, kb_relative_information_score: 111.24, mean_absolute_error: 0.3766, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8211, predictive_accuracy: 0.7754, prior_entropy: 0.9279, recall: 0.7754, relative_absolute_error: 0.8355, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8622, scimark_benchmark: 1743.361, usercpu_time_millis: 4.297, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 3.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9967, kappa: 0.9926, kb_relative_information_score: 555.4371, mean_absolute_error: 0.0439, 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: 0.0973, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0784, root_relative_squared_error: 0.1651, scimark_benchmark: 1732.5069, usercpu_time_millis: 5.398, usercpu_time_millis_testing: 0.544, usercpu_time_millis_training: 4.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.5883, kappa: 0.1144, kb_relative_information_score: 61.1082, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7713, predictive_accuracy: 0.6872, prior_entropy: 0.9279, recall: 0.6872, relative_absolute_error: 0.904, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.9196, scimark_benchmark: 1725.0852, usercpu_time_millis: 2.966, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 2.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9475, kappa: 0.8821, kb_relative_information_score: 300.2905, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9505, predictive_accuracy: 0.9484, prior_entropy: 0.9279, recall: 0.9484, relative_absolute_error: 0.5701, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.6186, scimark_benchmark: 1746.2876, usercpu_time_millis: 2.037, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 1.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.995, kappa: 0.989, kb_relative_information_score: 444.731, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9951, predictive_accuracy: 0.995, prior_entropy: 0.9279, recall: 0.995, relative_absolute_error: 0.3209, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.3833, scimark_benchmark: 1736.9301, usercpu_time_millis: 6.452, usercpu_time_millis_testing: 0.635, usercpu_time_millis_training: 5.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9565, kappa: 0.9029, kb_relative_information_score: 465.5749, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9568, predictive_accuracy: 0.9567, prior_entropy: 0.9279, recall: 0.9567, relative_absolute_error: 0.2486, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.4177, scimark_benchmark: 1727.6047, usercpu_time_millis: 3.442, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 3.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 552.9436, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.1063, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.1552, scimark_benchmark: 1763.3044, usercpu_time_millis: 3.34, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 3.033,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9353, kappa: 0.8542, kb_relative_information_score: 276.6543, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9402, predictive_accuracy: 0.9368, prior_entropy: 0.9279, recall: 0.9368, relative_absolute_error: 0.6036, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.6566, scimark_benchmark: 1258.9541, usercpu_time_millis: 3.871, usercpu_time_millis_testing: 0.646, usercpu_time_millis_training: 3.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.5213, kb_relative_information_score: 37.4949, mean_absolute_error: 0.4261, 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: 0.9453, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4515, root_relative_squared_error: 0.9513, scimark_benchmark: 1273.5302, usercpu_time_millis: 3.435, usercpu_time_millis_testing: 0.656, usercpu_time_millis_training: 2.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6731, f_measure: 0.6308, kappa: 0.1592, kb_relative_information_score: 41.9005, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6302, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9181, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.961, scimark_benchmark: 1280.7258, usercpu_time_millis: 0.22, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.7924, kappa: 0.5283, kb_relative_information_score: 136.4623, mean_absolute_error: 0.3616, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8467, predictive_accuracy: 0.8136, prior_entropy: 0.9279, recall: 0.8136, relative_absolute_error: 0.8023, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8336, scimark_benchmark: 1244.0039, usercpu_time_millis: 7.026, usercpu_time_millis_testing: 0.951, usercpu_time_millis_training: 6.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7504, f_measure: 0.5213, kb_relative_information_score: 33.7545, mean_absolute_error: 0.4267, 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: 0.9468, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9538, scimark_benchmark: 1262.2728, usercpu_time_millis: 0.47, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.8975, kappa: 0.7672, kb_relative_information_score: 207.4201, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9122, predictive_accuracy: 0.9018, prior_entropy: 0.9279, recall: 0.9018, relative_absolute_error: 0.7083, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.7468, scimark_benchmark: 1236.1534, usercpu_time_millis: 4.634, usercpu_time_millis_testing: 0.89, usercpu_time_millis_training: 3.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.5205, kappa: -0.0033, kb_relative_information_score: 28.7786, mean_absolute_error: 0.4292, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4316, predictive_accuracy: 0.6556, prior_entropy: 0.9279, recall: 0.6556, relative_absolute_error: 0.9522, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.9622, scimark_benchmark: 1263.5219, usercpu_time_millis: 3.305, usercpu_time_millis_testing: 0.504, usercpu_time_millis_training: 2.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.5893, kappa: 0.1178, kb_relative_information_score: 75.1526, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7888, predictive_accuracy: 0.6889, prior_entropy: 0.9279, recall: 0.6889, relative_absolute_error: 0.889, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.9066, scimark_benchmark: 1268.8049, usercpu_time_millis: 3.181, usercpu_time_millis_testing: 0.545, usercpu_time_millis_training: 2.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.5213, kb_relative_information_score: -0.0105, 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: 0.4747, root_relative_squared_error: 1, scimark_benchmark: 1275.9374, usercpu_time_millis: 0.971, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 0.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.7414, kappa: 0.4171, kb_relative_information_score: 108.7157, mean_absolute_error: 0.3796, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8257, predictive_accuracy: 0.777, prior_entropy: 0.9279, recall: 0.777, relative_absolute_error: 0.8422, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8642, scimark_benchmark: 1284.8236, usercpu_time_millis: 2.08, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 1.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6577, f_measure: 0.5213, kb_relative_information_score: 23.1648, mean_absolute_error: 0.4322, 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: 0.9589, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4612, root_relative_squared_error: 0.9716, scimark_benchmark: 1262.9766, usercpu_time_millis: 3.03, usercpu_time_millis_testing: 0.523, usercpu_time_millis_training: 2.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, f_measure: 0.5213, kb_relative_information_score: 0.0683, 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: 1263.3093, usercpu_time_millis: 1.363, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 1.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.5213, kb_relative_information_score: 55.0262, mean_absolute_error: 0.4159, 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: 0.9229, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.442, root_relative_squared_error: 0.9313, scimark_benchmark: 1289.0539, usercpu_time_millis: 0.379, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.5213, kb_relative_information_score: 8.0606, 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: 0.4682, root_relative_squared_error: 0.9865, scimark_benchmark: 1277.569, usercpu_time_millis: 1.132, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 0.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: 70.8917, mean_absolute_error: 0.4075, 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: 0.9042, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.434, root_relative_squared_error: 0.9143, scimark_benchmark: 1224.9376, usercpu_time_millis: 3.059, usercpu_time_millis_testing: 0.577, usercpu_time_millis_training: 2.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.0128, 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: 0.4747, root_relative_squared_error: 1, scimark_benchmark: 1189.7761, usercpu_time_millis: 1.034, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 0.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5262, f_measure: 0.5213, kb_relative_information_score: -1.6348, mean_absolute_error: 0.4485, 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: 0.9951, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4737, root_relative_squared_error: 0.9979, scimark_benchmark: 1307.9564, usercpu_time_millis: 2.181, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 1.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.5213, kb_relative_information_score: -0.0076, 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: 1248.0255, usercpu_time_millis: 1.14, usercpu_time_millis_testing: 0.206, usercpu_time_millis_training: 0.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5385, f_measure: 0.5213, kb_relative_information_score: -2.6854, mean_absolute_error: 0.4486, 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: 0.9954, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.997, scimark_benchmark: 1299.5187, usercpu_time_millis: 1.629, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 1.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4913, f_measure: 0.5213, kb_relative_information_score: 0.0098, 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: 0.4747, root_relative_squared_error: 1, scimark_benchmark: 1287.8279, usercpu_time_millis: 0.799, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 0.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4925, f_measure: 0.5213, kb_relative_information_score: -0.0026, 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: 1189.3789, usercpu_time_millis: 0.94, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 0.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, f_measure: 0.5978, kappa: 0.111, kb_relative_information_score: 48.3197, mean_absolute_error: 0.413, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6551, predictive_accuracy: 0.6739, prior_entropy: 0.9279, recall: 0.6739, relative_absolute_error: 0.9164, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.948, scimark_benchmark: 1300.7194, usercpu_time_millis: 3.421, usercpu_time_millis_testing: 0.592, usercpu_time_millis_training: 2.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7484, f_measure: 0.531, kappa: 0.0124, kb_relative_information_score: 44.7017, mean_absolute_error: 0.4194, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.639, predictive_accuracy: 0.6589, prior_entropy: 0.9279, recall: 0.6589, relative_absolute_error: 0.9304, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.9431, scimark_benchmark: 1197.4978, usercpu_time_millis: 2.814, usercpu_time_millis_testing: 0.522, usercpu_time_millis_training: 2.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.5213, kb_relative_information_score: 29.4633, mean_absolute_error: 0.4292, 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: 0.9523, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.96, scimark_benchmark: 1277.0707, usercpu_time_millis: 0.932, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 0.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9883, kappa: 0.9741, kb_relative_information_score: 405.0948, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9883, predictive_accuracy: 0.9884, prior_entropy: 0.9279, recall: 0.9884, relative_absolute_error: 0.3944, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.4486, scimark_benchmark: 1287.9149, usercpu_time_millis: 6.222, usercpu_time_millis_testing: 0.753, usercpu_time_millis_training: 5.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.244, 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: 1209.1085, usercpu_time_millis: 1.201, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 0.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1458, 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: 0.4747, root_relative_squared_error: 1, scimark_benchmark: 1281.2044, usercpu_time_millis: 1.642, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 1.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, f_measure: 0.5213, kb_relative_information_score: 4.0757, mean_absolute_error: 0.4443, 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: 0.9857, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.99, scimark_benchmark: 1264.7501, usercpu_time_millis: 1.251, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 1.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4932, f_measure: 0.5213, kb_relative_information_score: 0.0206, 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: 1268.6098, usercpu_time_millis: 1.351, usercpu_time_millis_testing: 0.256, usercpu_time_millis_training: 1.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, f_measure: 0.5213, kb_relative_information_score: -0.2511, 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: 1, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1, scimark_benchmark: 1282.7454, usercpu_time_millis: 1.381, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 1.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.8852, kappa: 0.7393, kb_relative_information_score: 229.5423, mean_absolute_error: 0.3037, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8997, predictive_accuracy: 0.8902, prior_entropy: 0.9279, recall: 0.8902, relative_absolute_error: 0.6739, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.7195, scimark_benchmark: 1293.4023, usercpu_time_millis: 6.554, usercpu_time_millis_testing: 1.019, usercpu_time_millis_training: 5.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9647, kappa: 0.9209, kb_relative_information_score: 310.382, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9661, predictive_accuracy: 0.9651, prior_entropy: 0.9279, recall: 0.9651, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.6045, scimark_benchmark: 1271.2098, usercpu_time_millis: 1.96, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 1.587,

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