Task
Supervised Classification on vehicle

Supervised Classification on vehicle

Task 3857 Supervised Classification vehicle 599 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.8082, kappa: 0.4872, kb_relative_information_score: 320.143, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.8059, predictive_accuracy: 0.8132, prior_entropy: 0.8241, recall: 0.8132, relative_absolute_error: 0.5766, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.8455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.9114, kappa: 0.7635, kb_relative_information_score: 564.503, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9125, predictive_accuracy: 0.9137, prior_entropy: 0.8241, recall: 0.9137, relative_absolute_error: 0.3376, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2554, root_relative_squared_error: 0.5839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9738, kappa: 0.9312, kb_relative_information_score: 735.0952, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9739, predictive_accuracy: 0.974, prior_entropy: 0.8241, recall: 0.974, relative_absolute_error: 0.1388, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.3296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8008, kappa: 0.4614, kb_relative_information_score: 295.7758, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.7993, predictive_accuracy: 0.8097, prior_entropy: 0.8241, recall: 0.8097, relative_absolute_error: 0.6256, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.8172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9551, kappa: 0.8829, kb_relative_information_score: 713.0746, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9552, predictive_accuracy: 0.9551, prior_entropy: 0.8241, recall: 0.9551, relative_absolute_error: 0.1548, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.21, root_relative_squared_error: 0.4802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9599, kappa: 0.8956, kb_relative_information_score: 742.8006, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9601, predictive_accuracy: 0.9598, prior_entropy: 0.8241, recall: 0.9598, relative_absolute_error: 0.1107, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9835, kappa: 0.957, kb_relative_information_score: 803.9187, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9836, predictive_accuracy: 0.9835, prior_entropy: 0.8241, recall: 0.9835, relative_absolute_error: 0.0442, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1265, root_relative_squared_error: 0.2893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.9127, kappa: 0.7671, kb_relative_information_score: 562.31, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9137, predictive_accuracy: 0.9149, prior_entropy: 0.8241, recall: 0.9149, relative_absolute_error: 0.3368, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.5819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9415, kappa: 0.8487, kb_relative_information_score: 661.1795, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9427, predictive_accuracy: 0.9409, prior_entropy: 0.8241, recall: 0.9409, relative_absolute_error: 0.2188, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9731, kappa: 0.9307, kb_relative_information_score: 765.8221, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9744, predictive_accuracy: 0.9728, prior_entropy: 0.8241, recall: 0.9728, relative_absolute_error: 0.0915, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.3116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.7906, kappa: 0.4316, kb_relative_information_score: 232.8889, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.7891, predictive_accuracy: 0.8014, prior_entropy: 0.8241, recall: 0.8014, relative_absolute_error: 0.6958, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.9113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9657, kappa: 0.9105, kb_relative_information_score: 661.8104, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9658, predictive_accuracy: 0.9657, prior_entropy: 0.8241, recall: 0.9657, relative_absolute_error: 0.2234, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7691, kappa: 0.3782, kb_relative_information_score: 238.37, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.7652, predictive_accuracy: 0.7778, prior_entropy: 0.8241, recall: 0.7778, relative_absolute_error: 0.6723, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.9288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.933, kappa: 0.8227, kb_relative_information_score: 671.6793, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.933, predictive_accuracy: 0.9338, prior_entropy: 0.8241, recall: 0.9338, relative_absolute_error: 0.189, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2471, root_relative_squared_error: 0.5649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9751, kappa: 0.9348, kb_relative_information_score: 737.3958, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9751, predictive_accuracy: 0.9752, prior_entropy: 0.8241, recall: 0.9752, relative_absolute_error: 0.1349, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.3195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9774, kappa: 0.9407, kb_relative_information_score: 667.6467, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9775, predictive_accuracy: 0.9775, prior_entropy: 0.8241, recall: 0.9775, relative_absolute_error: 0.2456, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.3714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.6325, kb_relative_information_score: -0.4029, mean_absolute_error: 0.3829, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.551, predictive_accuracy: 0.7423, prior_entropy: 0.8241, recall: 0.7423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.4374, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9461, kappa: 0.8604, kb_relative_information_score: 664.8402, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.947, predictive_accuracy: 0.9456, prior_entropy: 0.8241, recall: 0.9456, relative_absolute_error: 0.2037, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9599, kappa: 0.8953, kb_relative_information_score: 698.5646, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9599, predictive_accuracy: 0.9598, prior_entropy: 0.8241, recall: 0.9598, relative_absolute_error: 0.1716, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.3987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.8952, kappa: 0.724, kb_relative_information_score: 507.1139, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.8947, predictive_accuracy: 0.896, prior_entropy: 0.8241, recall: 0.896, relative_absolute_error: 0.3833, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9634, kappa: 0.9044, kb_relative_information_score: 742.6779, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9634, predictive_accuracy: 0.9634, prior_entropy: 0.8241, recall: 0.9634, relative_absolute_error: 0.1171, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.4323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.8061, kappa: 0.4824, kb_relative_information_score: 318.0994, mean_absolute_error: 0.222, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.8037, predictive_accuracy: 0.8109, prior_entropy: 0.8241, recall: 0.8109, relative_absolute_error: 0.5799, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.8493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.95, kappa: 0.8687, kb_relative_information_score: 695.7842, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.95, predictive_accuracy: 0.9504, prior_entropy: 0.8241, recall: 0.9504, relative_absolute_error: 0.1712, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.4465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9634, kappa: 0.9044, kb_relative_information_score: 742.6779, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9634, predictive_accuracy: 0.9634, prior_entropy: 0.8241, recall: 0.9634, relative_absolute_error: 0.1171, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.4323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.8649, kappa: 0.6313, kb_relative_information_score: 535.5543, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.8734, predictive_accuracy: 0.8735, prior_entropy: 0.8241, recall: 0.8735, relative_absolute_error: 0.3304, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.8131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8763, kappa: 0.678, kb_relative_information_score: 538.6689, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.8769, predictive_accuracy: 0.8759, prior_entropy: 0.8241, recall: 0.8759, relative_absolute_error: 0.3288, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.7371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.7553, kappa: 0.3387, kb_relative_information_score: 212.5839, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.7507, predictive_accuracy: 0.766, prior_entropy: 0.8241, recall: 0.766, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.9342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.7996, kappa: 0.46, kb_relative_information_score: 304.2723, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.7974, predictive_accuracy: 0.8073, prior_entropy: 0.8241, recall: 0.8073, relative_absolute_error: 0.5967, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.8462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7479, f_measure: 0.8438, kappa: 0.5701, kb_relative_information_score: 495.0521, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.8586, predictive_accuracy: 0.857, prior_entropy: 0.8241, recall: 0.857, relative_absolute_error: 0.3736, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.8647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9858, kappa: 0.9629, kb_relative_information_score: 747.4117, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9858, predictive_accuracy: 0.9858, prior_entropy: 0.8241, recall: 0.9858, relative_absolute_error: 0.1363, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.121, root_relative_squared_error: 0.2766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5817, f_measure: 0.7201, kappa: 0.2223, kb_relative_information_score: 309.8991, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.808, predictive_accuracy: 0.7813, prior_entropy: 0.8241, recall: 0.7813, relative_absolute_error: 0.5712, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.4676, root_relative_squared_error: 1.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.7946, kappa: 0.4507, kb_relative_information_score: 305.5034, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.7919, predictive_accuracy: 0.8002, prior_entropy: 0.8241, recall: 0.8002, relative_absolute_error: 0.5902, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.8607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6776, f_measure: 0.6697, kappa: 0.0925, kb_relative_information_score: 47.5454, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.818, predictive_accuracy: 0.7589, prior_entropy: 0.8241, recall: 0.7589, relative_absolute_error: 0.956, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.9692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9811, kappa: 0.9504, kb_relative_information_score: 726.5662, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.981, predictive_accuracy: 0.9811, prior_entropy: 0.8241, recall: 0.9811, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.9599, kappa: 0.8956, kb_relative_information_score: 746.7445, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9601, predictive_accuracy: 0.9598, prior_entropy: 0.8241, recall: 0.9598, relative_absolute_error: 0.105, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.4584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.9585, kappa: 0.8914, kb_relative_information_score: 743.8514, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9585, predictive_accuracy: 0.9586, prior_entropy: 0.8241, recall: 0.9586, relative_absolute_error: 0.1081, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.4651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9787, kappa: 0.9442, kb_relative_information_score: 793.0327, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9787, predictive_accuracy: 0.9787, prior_entropy: 0.8241, recall: 0.9787, relative_absolute_error: 0.0556, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.3335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.9551, kappa: 0.8826, kb_relative_information_score: 735.1724, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9551, predictive_accuracy: 0.9551, prior_entropy: 0.8241, recall: 0.9551, relative_absolute_error: 0.1173, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.4846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9882, kappa: 0.9691, kb_relative_information_score: 816.1768, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9882, predictive_accuracy: 0.9882, prior_entropy: 0.8241, recall: 0.9882, relative_absolute_error: 0.0309, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.2486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9763, kappa: 0.938, kb_relative_information_score: 787.2467, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9763, predictive_accuracy: 0.9764, prior_entropy: 0.8241, recall: 0.9764, relative_absolute_error: 0.0618, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.3516, scimark_benchmark: 1280.301, usercpu_time_millis: 390.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.9681, kappa: 0.9167, kb_relative_information_score: 766.9956, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9681, predictive_accuracy: 0.9681, prior_entropy: 0.8241, recall: 0.9681, relative_absolute_error: 0.0834, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.4085, scimark_benchmark: 1280.301, usercpu_time_millis: 671.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 656.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6325, kb_relative_information_score: 214.4296, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.551, predictive_accuracy: 0.7423, prior_entropy: 0.8241, recall: 0.7423, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.1607, scimark_benchmark: 1461.2356, usercpu_time_millis: 453.125, usercpu_time_millis_testing: 218.75, usercpu_time_millis_training: 234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6325, kb_relative_information_score: 214.4296, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.551, predictive_accuracy: 0.7423, prior_entropy: 0.8241, recall: 0.7423, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.1607, scimark_benchmark: 1461.2356, usercpu_time_millis: 125, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9694, kappa: 0.9204, kb_relative_information_score: 744.5955, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9697, predictive_accuracy: 0.9693, prior_entropy: 0.8241, recall: 0.9693, relative_absolute_error: 0.1199, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.3615, scimark_benchmark: 1013.4066, usercpu_time_millis: 4031.25, usercpu_time_millis_training: 4031.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9602, kappa: 0.8968, kb_relative_information_score: 741.4082, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.961, predictive_accuracy: 0.9598, prior_entropy: 0.8241, recall: 0.9598, relative_absolute_error: 0.1148, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.4226, scimark_benchmark: 1862.8608, usercpu_time_millis: 3218.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 3203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9602, kappa: 0.8968, kb_relative_information_score: 741.4082, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.961, predictive_accuracy: 0.9598, prior_entropy: 0.8241, recall: 0.9598, relative_absolute_error: 0.1148, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.4226, scimark_benchmark: 1787.9841, usercpu_time_millis: 3375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 3359.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9602, kappa: 0.8968, kb_relative_information_score: 741.4082, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.961, predictive_accuracy: 0.9598, prior_entropy: 0.8241, recall: 0.9598, relative_absolute_error: 0.1148, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.4226, scimark_benchmark: 1557.309, usercpu_time_millis: 3390, usercpu_time_millis_training: 3390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6325, kb_relative_information_score: 214.4296, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.551, predictive_accuracy: 0.7423, prior_entropy: 0.8241, recall: 0.7423, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.1607, scimark_benchmark: 1675.8026, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6325, kb_relative_information_score: 214.4296, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.551, predictive_accuracy: 0.7423, prior_entropy: 0.8241, recall: 0.7423, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.1607, scimark_benchmark: 1659.0862, usercpu_time_millis: 470, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9763, kappa: 0.938, kb_relative_information_score: 787.2467, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9763, predictive_accuracy: 0.9764, prior_entropy: 0.8241, recall: 0.9764, relative_absolute_error: 0.0618, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.3516, scimark_benchmark: 1316.3888, usercpu_time_millis: 460, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.9681, kappa: 0.9167, kb_relative_information_score: 766.9956, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9681, predictive_accuracy: 0.9681, prior_entropy: 0.8241, recall: 0.9681, relative_absolute_error: 0.0834, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.4085, scimark_benchmark: 1575.1075, usercpu_time_millis: 670, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9669, kappa: 0.9135, kb_relative_information_score: 693.6537, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9669, predictive_accuracy: 0.9669, prior_entropy: 0.8241, recall: 0.9669, relative_absolute_error: 0.1937, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.3948, scimark_benchmark: 1665.974, usercpu_time_millis: 296.875, usercpu_time_millis_training: 296.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9847, kappa: 0.96, kb_relative_information_score: 791.3711, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9847, predictive_accuracy: 0.9846, prior_entropy: 0.8241, recall: 0.9846, relative_absolute_error: 0.0637, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.117, root_relative_squared_error: 0.2675, scimark_benchmark: 1374.3435, usercpu_time_millis: 2320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2310,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.7946, kappa: 0.4507, kb_relative_information_score: 305.5034, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.7919, predictive_accuracy: 0.8002, prior_entropy: 0.8241, recall: 0.8002, relative_absolute_error: 0.5902, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.8607, scimark_benchmark: 1354.1569, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9626, kappa: 0.9034, kb_relative_information_score: 727.4458, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9639, predictive_accuracy: 0.9622, prior_entropy: 0.8241, recall: 0.9622, relative_absolute_error: 0.1364, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.4109, scimark_benchmark: 1240.672, usercpu_time_millis: 550, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9693, kappa: 0.9197, kb_relative_information_score: 743.8592, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9693, predictive_accuracy: 0.9693, prior_entropy: 0.8241, recall: 0.9693, relative_absolute_error: 0.1184, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.3718, scimark_benchmark: 1092.8192, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9648, kappa: 0.9087, kb_relative_information_score: 756.5125, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9654, predictive_accuracy: 0.9645, prior_entropy: 0.8241, recall: 0.9645, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.43, scimark_benchmark: 1336.7564, usercpu_time_millis: 120, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9753, kappa: 0.9356, kb_relative_information_score: 769.8371, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9754, predictive_accuracy: 0.9752, prior_entropy: 0.8241, recall: 0.9752, relative_absolute_error: 0.0869, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.3164, scimark_benchmark: 955.0438, usercpu_time_millis: 340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.9634, kappa: 0.9044, kb_relative_information_score: 737.421, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9634, predictive_accuracy: 0.9634, prior_entropy: 0.8241, recall: 0.9634, relative_absolute_error: 0.1266, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.4236, scimark_benchmark: 956.154, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.9306, kappa: 0.8164, kb_relative_information_score: 677.3121, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9306, predictive_accuracy: 0.9314, prior_entropy: 0.8241, recall: 0.9314, relative_absolute_error: 0.1791, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2618, root_relative_squared_error: 0.5987, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.9489, kappa: 0.8657, kb_relative_information_score: 720.7073, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9488, predictive_accuracy: 0.9492, prior_entropy: 0.8241, recall: 0.9492, relative_absolute_error: 0.1328, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.5155, scimark_benchmark: 1618.1738, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.9575, kappa: 0.8891, kb_relative_information_score: 711.0395, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9576, predictive_accuracy: 0.9574, prior_entropy: 0.8241, recall: 0.9574, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.4566, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9858, kappa: 0.9629, kb_relative_information_score: 746.3654, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9858, predictive_accuracy: 0.9858, prior_entropy: 0.8241, recall: 0.9858, relative_absolute_error: 0.138, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.2746, scimark_benchmark: 1925.3565, usercpu_time_millis: 125, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.8082, kappa: 0.4872, kb_relative_information_score: 320.143, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.8059, predictive_accuracy: 0.8132, prior_entropy: 0.8241, recall: 0.8132, relative_absolute_error: 0.5766, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.8455, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.9599, kappa: 0.8953, kb_relative_information_score: 735.8572, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9599, predictive_accuracy: 0.9598, prior_entropy: 0.8241, recall: 0.9598, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.4466, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.7946, kappa: 0.4507, kb_relative_information_score: 305.5034, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.7919, predictive_accuracy: 0.8002, prior_entropy: 0.8241, recall: 0.8002, relative_absolute_error: 0.5902, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.8607, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.9306, kappa: 0.8164, kb_relative_information_score: 677.3121, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9306, predictive_accuracy: 0.9314, prior_entropy: 0.8241, recall: 0.9314, relative_absolute_error: 0.1791, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2618, root_relative_squared_error: 0.5987, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.9489, kappa: 0.8657, kb_relative_information_score: 720.7073, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9488, predictive_accuracy: 0.9492, prior_entropy: 0.8241, recall: 0.9492, relative_absolute_error: 0.1328, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.5155, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9614, kappa: 0.9003, kb_relative_information_score: 726.2719, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9626, predictive_accuracy: 0.961, prior_entropy: 0.8241, recall: 0.961, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.4142, scimark_benchmark: 1925.3565, usercpu_time_millis: 296.875, usercpu_time_millis_training: 296.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9693, kappa: 0.9197, kb_relative_information_score: 743.8592, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9693, predictive_accuracy: 0.9693, prior_entropy: 0.8241, recall: 0.9693, relative_absolute_error: 0.1184, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.3718, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9648, kappa: 0.9087, kb_relative_information_score: 756.5125, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9654, predictive_accuracy: 0.9645, prior_entropy: 0.8241, recall: 0.9645, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.43, scimark_benchmark: 1925.3565, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9753, kappa: 0.9356, kb_relative_information_score: 769.9902, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9754, predictive_accuracy: 0.9752, prior_entropy: 0.8241, recall: 0.9752, relative_absolute_error: 0.0866, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.3162, scimark_benchmark: 1892.0925, usercpu_time_millis: 171.875, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.9586, kappa: 0.8917, kb_relative_information_score: 725.4192, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9586, predictive_accuracy: 0.9586, prior_entropy: 0.8241, recall: 0.9586, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.4521, scimark_benchmark: 1892.0925, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.9575, kappa: 0.8891, kb_relative_information_score: 710.4241, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9576, predictive_accuracy: 0.9574, prior_entropy: 0.8241, recall: 0.9574, relative_absolute_error: 0.1631, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.4567, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9858, kappa: 0.9628, kb_relative_information_score: 744.4618, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9858, predictive_accuracy: 0.9858, prior_entropy: 0.8241, recall: 0.9858, relative_absolute_error: 0.1405, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1219, root_relative_squared_error: 0.2787, scimark_benchmark: 1892.0925, usercpu_time_millis: 140.625, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.8082, kappa: 0.4872, kb_relative_information_score: 320.143, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.8059, predictive_accuracy: 0.8132, prior_entropy: 0.8241, recall: 0.8132, relative_absolute_error: 0.5766, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.8455, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.9599, kappa: 0.8953, kb_relative_information_score: 735.8572, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9599, predictive_accuracy: 0.9598, prior_entropy: 0.8241, recall: 0.9598, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.4466, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9551, kappa: 0.8829, kb_relative_information_score: 713.0746, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9552, predictive_accuracy: 0.9551, prior_entropy: 0.8241, recall: 0.9551, relative_absolute_error: 0.1548, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.21, root_relative_squared_error: 0.4802, scimark_benchmark: 1834.908, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9626, kappa: 0.9034, kb_relative_information_score: 728.1341, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9639, predictive_accuracy: 0.9622, prior_entropy: 0.8241, recall: 0.9622, relative_absolute_error: 0.1358, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.41, scimark_benchmark: 1834.908, usercpu_time_millis: 281.25, usercpu_time_millis_training: 281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9753, kappa: 0.9356, kb_relative_information_score: 769.8371, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9754, predictive_accuracy: 0.9752, prior_entropy: 0.8241, recall: 0.9752, relative_absolute_error: 0.0869, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.3164, scimark_benchmark: 1834.908, usercpu_time_millis: 218.75, usercpu_time_millis_training: 218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9753, kappa: 0.9356, kb_relative_information_score: 769.8371, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9754, predictive_accuracy: 0.9752, prior_entropy: 0.8241, recall: 0.9752, relative_absolute_error: 0.0869, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.3164, scimark_benchmark: 1788.6668, usercpu_time_millis: 187.5, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9256, kappa: 0.8056, kb_relative_information_score: 620.9034, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9256, predictive_accuracy: 0.9255, prior_entropy: 0.8241, recall: 0.9255, relative_absolute_error: 0.2603, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.5449, scimark_benchmark: 1788.6668, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.9146, kappa: 0.7794, kb_relative_information_score: 602.6927, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9162, predictive_accuracy: 0.9137, prior_entropy: 0.8241, recall: 0.9137, relative_absolute_error: 0.2783, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.273, root_relative_squared_error: 0.6242, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8378, kappa: 0.565, kb_relative_information_score: 379.563, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.8368, predictive_accuracy: 0.8428, prior_entropy: 0.8241, recall: 0.8428, relative_absolute_error: 0.5463, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.7667, scimark_benchmark: 1788.6668, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.8379, kappa: 0.5618, kb_relative_information_score: 335.6211, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.8388, predictive_accuracy: 0.8452, prior_entropy: 0.8241, recall: 0.8452, relative_absolute_error: 0.6016, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.7718, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5839, f_measure: 0.7218, kappa: 0.2259, kb_relative_information_score: 307.0061, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.7947, predictive_accuracy: 0.7801, prior_entropy: 0.8241, recall: 0.7801, relative_absolute_error: 0.5743, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.4689, root_relative_squared_error: 1.0721, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.9293, kappa: 0.8129, kb_relative_information_score: 674.4191, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9293, predictive_accuracy: 0.9303, prior_entropy: 0.8241, recall: 0.9303, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.6038, scimark_benchmark: 1395.361, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9693, kappa: 0.9197, kb_relative_information_score: 743.8592, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9693, predictive_accuracy: 0.9693, prior_entropy: 0.8241, recall: 0.9693, relative_absolute_error: 0.1184, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.3718, scimark_benchmark: 980.5764, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9551, kappa: 0.8829, kb_relative_information_score: 713.0746, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9552, predictive_accuracy: 0.9551, prior_entropy: 0.8241, recall: 0.9551, relative_absolute_error: 0.1548, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.21, root_relative_squared_error: 0.4802, scimark_benchmark: 985.1416, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.8771, kappa: 0.6787, kb_relative_information_score: 423.8002, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.8771, predictive_accuracy: 0.8771, prior_entropy: 0.8241, recall: 0.8771, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.6796, scimark_benchmark: 1447.2612, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8596, kappa: 0.656, kb_relative_information_score: 505.0833, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.8801, predictive_accuracy: 0.8534, prior_entropy: 0.8241, recall: 0.8534, relative_absolute_error: 0.3594, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.3159, root_relative_squared_error: 0.7223, scimark_benchmark: 1840.6094, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9358, kappa: 0.839, kb_relative_information_score: 710.1382, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9452, predictive_accuracy: 0.9338, prior_entropy: 0.8241, recall: 0.9338, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.4103, scimark_benchmark: 1840.6094, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9557, kappa: 0.886, kb_relative_information_score: 608.8253, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9576, predictive_accuracy: 0.9551, prior_entropy: 0.8241, recall: 0.9551, relative_absolute_error: 0.2883, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4703, scimark_benchmark: 1873.1108, usercpu_time_millis: 125, usercpu_time_millis_testing: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8749, kappa: 0.6677, kb_relative_information_score: 475.1681, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.8741, predictive_accuracy: 0.8771, prior_entropy: 0.8241, recall: 0.8771, relative_absolute_error: 0.4167, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.6747, scimark_benchmark: 1873.1108, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9647, kappa: 0.9081, kb_relative_information_score: 677.5806, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.965, predictive_accuracy: 0.9645, prior_entropy: 0.8241, recall: 0.9645, relative_absolute_error: 0.1988, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.4061, scimark_benchmark: 1873.1108, usercpu_time_millis: 109.375, usercpu_time_millis_testing: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6325, kb_relative_information_score: 214.4296, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.551, predictive_accuracy: 0.7423, prior_entropy: 0.8241, recall: 0.7423, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.1607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5367, f_measure: 0.6747, kappa: 0.1052, kb_relative_information_score: 260.7179, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.8193, predictive_accuracy: 0.7612, prior_entropy: 0.8241, recall: 0.7612, relative_absolute_error: 0.6237, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.4886, root_relative_squared_error: 1.1173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7268, f_measure: 0.8218, kappa: 0.5119, kb_relative_information_score: 440.0848, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.8281, predictive_accuracy: 0.8345, prior_entropy: 0.8241, recall: 0.8345, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.9301, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,

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