Task
Supervised Classification on wdbc

Supervised Classification on wdbc

Task 9946 Supervised Classification wdbc 140202 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, kb_relative_information_score: 15.6936, mean_absolute_error: 0.4558, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9747, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4858, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.5228, kappa: 0.0012, kb_relative_information_score: 71.6871, mean_absolute_error: 0.3972, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.5335, predictive_accuracy: 0.6028, prior_entropy: 0.953, recall: 0.6028, relative_absolute_error: 0.8493, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6302, root_relative_squared_error: 1.3035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.8937, kappa: 0.7696, kb_relative_information_score: 228.1892, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9008, predictive_accuracy: 0.8963, prior_entropy: 0.953, recall: 0.8963, relative_absolute_error: 0.6576, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.7143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5058, kb_relative_information_score: 29.3829, mean_absolute_error: 0.4448, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4917, root_relative_squared_error: 1.0169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, kb_relative_information_score: 2.2, mean_absolute_error: 0.466, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4836, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, kb_relative_information_score: 4.4077, mean_absolute_error: 0.4644, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.993, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4839, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: -14.4939, mean_absolute_error: 0.4741, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0139, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4842, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, kb_relative_information_score: 1.0697, mean_absolute_error: 0.4669, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9489, kappa: 0.8903, kb_relative_information_score: 441.0605, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.949, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.2565, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9153, kappa: 0.8182, kb_relative_information_score: 406.1397, mean_absolute_error: 0.1463, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9153, predictive_accuracy: 0.9156, prior_entropy: 0.953, recall: 0.9156, relative_absolute_error: 0.3128, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, kb_relative_information_score: 3.4655, mean_absolute_error: 0.4651, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4836, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9576, kappa: 0.9089, kb_relative_information_score: 476.0375, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.958, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1809, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.3699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.9008, kappa: 0.7848, kb_relative_information_score: 341.7362, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9091, predictive_accuracy: 0.9033, prior_entropy: 0.953, recall: 0.9033, relative_absolute_error: 0.4443, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2769, root_relative_squared_error: 0.5728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: -3.6948, mean_absolute_error: 0.4693, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4836, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -216.4626, mean_absolute_error: 0.6274, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.3726, prior_entropy: 0.953, recall: 0.3726, relative_absolute_error: 1.3417, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.7921, root_relative_squared_error: 1.6383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 0.2071, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, kb_relative_information_score: 2.5014, mean_absolute_error: 0.4658, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4836, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 38.2694, mean_absolute_error: 0.4372, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9349, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.0298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: 5.1761, mean_absolute_error: 0.4638, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4837, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: -5.1719, mean_absolute_error: 0.4699, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4836, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, kb_relative_information_score: 0.757, mean_absolute_error: 0.4668, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4836, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9614, kappa: 0.9176, kb_relative_information_score: 486.171, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9616, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1588, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 11.0656, mean_absolute_error: 0.4594, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9823, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4846, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.5228, kappa: 0.0012, kb_relative_information_score: 21.5987, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.5335, predictive_accuracy: 0.6028, prior_entropy: 0.953, recall: 0.6028, relative_absolute_error: 0.9576, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.512, root_relative_squared_error: 1.0591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9404, kappa: 0.8727, kb_relative_information_score: 386.2706, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9406, predictive_accuracy: 0.9402, prior_entropy: 0.953, recall: 0.9402, relative_absolute_error: 0.3622, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.4992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.9085, kappa: 0.8042, kb_relative_information_score: 379.8142, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9085, predictive_accuracy: 0.9086, prior_entropy: 0.953, recall: 0.9086, relative_absolute_error: 0.369, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.5496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.885, kappa: 0.757, kb_relative_information_score: 353.7001, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8887, predictive_accuracy: 0.884, prior_entropy: 0.953, recall: 0.884, relative_absolute_error: 0.4071, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9417, kappa: 0.8746, kb_relative_information_score: 485.3702, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9421, predictive_accuracy: 0.942, prior_entropy: 0.953, recall: 0.942, relative_absolute_error: 0.1496, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.4325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.8951, kappa: 0.7737, kb_relative_information_score: 312.8533, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8965, predictive_accuracy: 0.8963, prior_entropy: 0.953, recall: 0.8963, relative_absolute_error: 0.5054, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.6111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -62.6119, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0671, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: 10.767, mean_absolute_error: 0.4596, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4845, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: -1.1974, mean_absolute_error: 0.4682, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, kb_relative_information_score: 1.7105, mean_absolute_error: 0.4664, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: -20.4806, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0199, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4849, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: -0.7992, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4838, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, kb_relative_information_score: 14.7733, mean_absolute_error: 0.4565, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9762, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4855, root_relative_squared_error: 1.0041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 29.3657, mean_absolute_error: 0.4448, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4917, root_relative_squared_error: 1.0169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5058, kb_relative_information_score: 14.3556, mean_absolute_error: 0.4554, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9739, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.0089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9351, kappa: 0.8616, kb_relative_information_score: 444.1939, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9354, predictive_accuracy: 0.935, prior_entropy: 0.953, recall: 0.935, relative_absolute_error: 0.24, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, kb_relative_information_score: 6.9053, mean_absolute_error: 0.4625, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9891, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4839, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, kb_relative_information_score: -0.0947, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9383, kappa: 0.8678, kb_relative_information_score: 426.6288, mean_absolute_error: 0.1323, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9383, predictive_accuracy: 0.9385, prior_entropy: 0.953, recall: 0.9385, relative_absolute_error: 0.283, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.4362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, kb_relative_information_score: -5.2974, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4836, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: -21.4338, mean_absolute_error: 0.4774, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0209, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4851, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5058, kb_relative_information_score: -2.6845, mean_absolute_error: 0.4688, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.9034, kappa: 0.791, kb_relative_information_score: 399.0242, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9073, predictive_accuracy: 0.9051, prior_entropy: 0.953, recall: 0.9051, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.5696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: -2.3539, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, kb_relative_information_score: 3.3412, mean_absolute_error: 0.4652, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9947, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4837, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 36.5387, mean_absolute_error: 0.4387, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9381, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4966, root_relative_squared_error: 1.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9329, kappa: 0.8561, kb_relative_information_score: 445.9025, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9331, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.2346, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.4416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 19.9796, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9674, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4871, root_relative_squared_error: 1.0075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: 12.2686, mean_absolute_error: 0.4584, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9803, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4849, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5744, f_measure: 0.5533, kappa: 0.18, kb_relative_information_score: 14.1673, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.649, predictive_accuracy: 0.5571, prior_entropy: 0.953, recall: 0.5571, relative_absolute_error: 0.9484, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6647, root_relative_squared_error: 1.3748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: -23.4038, mean_absolute_error: 0.4784, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0229, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4854, root_relative_squared_error: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5517, f_measure: 0.5342, kappa: 0.0918, kb_relative_information_score: -20.6968, mean_absolute_error: 0.471, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.5829, predictive_accuracy: 0.529, prior_entropy: 0.953, recall: 0.529, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6863, root_relative_squared_error: 1.4195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, kb_relative_information_score: 10.121, mean_absolute_error: 0.4588, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4864, root_relative_squared_error: 1.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9667, kappa: 0.9288, kb_relative_information_score: 504.1147, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9668, predictive_accuracy: 0.9666, prior_entropy: 0.953, recall: 0.9666, relative_absolute_error: 0.1232, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.3326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, kb_relative_information_score: 1.1531, mean_absolute_error: 0.4668, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9255, kappa: 0.8397, kb_relative_information_score: 341.9457, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9265, predictive_accuracy: 0.9262, prior_entropy: 0.953, recall: 0.9262, relative_absolute_error: 0.4597, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2677, root_relative_squared_error: 0.5536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, kb_relative_information_score: 14.017, mean_absolute_error: 0.4571, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9775, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4853, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.938, kappa: 0.8665, kb_relative_information_score: 469.5167, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9389, predictive_accuracy: 0.9385, prior_entropy: 0.953, recall: 0.9385, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.4236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: 32.518, mean_absolute_error: 0.4421, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9454, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 102.4817, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4293, kappa: -0.0106, kb_relative_information_score: -59.8003, mean_absolute_error: 0.4976, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.5248, predictive_accuracy: 0.4429, prior_entropy: 0.953, recall: 0.4429, relative_absolute_error: 1.064, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: 11.7925, mean_absolute_error: 0.4588, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9811, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4847, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, kb_relative_information_score: 51.0736, mean_absolute_error: 0.4398, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9406, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9075, kappa: 0.8003, kb_relative_information_score: 243.5647, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9093, predictive_accuracy: 0.9086, prior_entropy: 0.953, recall: 0.9086, relative_absolute_error: 0.6437, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.6728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, kb_relative_information_score: 8.3746, mean_absolute_error: 0.4614, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9867, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4841, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9596, kappa: 0.9135, kb_relative_information_score: 507.2657, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.3456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, kb_relative_information_score: -11.1644, mean_absolute_error: 0.4726, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0106, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.484, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9406, kappa: 0.8736, kb_relative_information_score: 438.6898, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9417, predictive_accuracy: 0.9402, prior_entropy: 0.953, recall: 0.9402, relative_absolute_error: 0.2522, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.4497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: -8.5288, mean_absolute_error: 0.4714, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0081, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4837, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9415, kappa: 0.8741, kb_relative_information_score: 451.8291, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9425, predictive_accuracy: 0.942, prior_entropy: 0.953, recall: 0.942, relative_absolute_error: 0.2302, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.4055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7763, f_measure: 0.78, kappa: 0.5423, kb_relative_information_score: 283.6237, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.7929, predictive_accuracy: 0.7768, prior_entropy: 0.953, recall: 0.7768, relative_absolute_error: 0.493, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5058, kb_relative_information_score: 3.327, mean_absolute_error: 0.4651, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4836, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, kb_relative_information_score: 1.4552, mean_absolute_error: 0.4665, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: 26.0665, mean_absolute_error: 0.4475, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9569, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4898, root_relative_squared_error: 1.0131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9559, kappa: 0.9054, kb_relative_information_score: 437.9473, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9561, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.2617, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.4172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3027, kappa: -0.0008, kb_relative_information_score: -58.5517, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.5309, predictive_accuracy: 0.3972, prior_entropy: 0.953, recall: 0.3972, relative_absolute_error: 1.0625, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: -24.792, mean_absolute_error: 0.479, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0243, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4856, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9505, kappa: 0.8935, kb_relative_information_score: 452.147, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9511, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.2309, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.4001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.9021, kappa: 0.7919, kb_relative_information_score: 185.6898, mean_absolute_error: 0.3455, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9034, predictive_accuracy: 0.9016, prior_entropy: 0.953, recall: 0.9016, relative_absolute_error: 0.7389, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.7644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.949, kappa: 0.8907, kb_relative_information_score: 451.0627, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9489, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.2383, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.3864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, kb_relative_information_score: -3.1054, mean_absolute_error: 0.469, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9631, kappa: 0.9211, kb_relative_information_score: 484.5045, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9631, predictive_accuracy: 0.9631, prior_entropy: 0.953, recall: 0.9631, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.3771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6318, f_measure: 0.6026, kappa: 0.1792, kb_relative_information_score: 69.6093, mean_absolute_error: 0.4135, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.7294, predictive_accuracy: 0.6784, prior_entropy: 0.953, recall: 0.6784, relative_absolute_error: 0.8843, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9333, kappa: 0.8577, kb_relative_information_score: 471.6995, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9336, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.4796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, kb_relative_information_score: 0.7739, mean_absolute_error: 0.4671, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5115, f_measure: 0.5972, kappa: 0.1858, kb_relative_information_score: 45.6491, mean_absolute_error: 0.4194, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.6265, predictive_accuracy: 0.5905, prior_entropy: 0.953, recall: 0.5905, relative_absolute_error: 0.8969, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6395, root_relative_squared_error: 1.3226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, kb_relative_information_score: -6.9788, mean_absolute_error: 0.4707, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4837, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: -46.7948, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0467, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4964, root_relative_squared_error: 1.0267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, kb_relative_information_score: -2.4428, mean_absolute_error: 0.4686, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4836, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: -27.4229, mean_absolute_error: 0.4803, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0271, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4862, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8982, kappa: 0.7824, kb_relative_information_score: 167.0596, mean_absolute_error: 0.3584, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8983, predictive_accuracy: 0.8981, prior_entropy: 0.953, recall: 0.8981, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.7926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9186, kappa: 0.8251, kb_relative_information_score: 353.8168, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.919, predictive_accuracy: 0.9192, prior_entropy: 0.953, recall: 0.9192, relative_absolute_error: 0.4289, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2618, root_relative_squared_error: 0.5414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8914, kappa: 0.7687, kb_relative_information_score: 346.2736, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8922, predictive_accuracy: 0.891, prior_entropy: 0.953, recall: 0.891, relative_absolute_error: 0.4269, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.6117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: -12.3537, mean_absolute_error: 0.4732, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0118, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.484, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9361, kappa: 0.8623, kb_relative_information_score: 453.2043, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9375, predictive_accuracy: 0.9367, prior_entropy: 0.953, recall: 0.9367, relative_absolute_error: 0.2204, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.4316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.8272, kappa: 0.6483, kb_relative_information_score: 332.0164, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8564, predictive_accuracy: 0.8243, prior_entropy: 0.953, recall: 0.8243, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.8164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, kb_relative_information_score: 38.6685, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9532, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.95,

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