OpenML

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set breast-w

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9614, kappa: 0.9146, kb_relative_information_score: 0.8925, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9614, number_of_instances: 699, precision: 0.9614, predictive_accuracy: 0.9614, prior_entropy: 0.9293, relative_absolute_error: 0.1087, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3816, unweighted_recall: 0.9577,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set kr-vs-kp

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9959, kappa: 0.9918, kb_relative_information_score: 0.983, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.499, weighted_recall: 0.9959, number_of_instances: 3196, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.9986, relative_absolute_error: 0.0199, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0601, root_relative_squared_error: 0.1202, unweighted_recall: 0.996,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set analcatdata_dmft

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5654, f_measure: 0.2119, kappa: 0.0522, kb_relative_information_score: 0.0825, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.2774, weighted_recall: 0.2133, number_of_instances: 797, precision: 0.2133, predictive_accuracy: 0.2133, prior_entropy: 2.5803, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3757, root_relative_squared_error: 1.0088, unweighted_recall: 0.2111,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set texture

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.988, kappa: 0.9868, kb_relative_information_score: 0.988, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.1653, weighted_recall: 0.988, number_of_instances: 5500, precision: 0.988, predictive_accuracy: 0.988, prior_entropy: 3.4594, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0428, root_relative_squared_error: 0.1488, unweighted_recall: 0.988,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set segment

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9371, kappa: 0.9268, kb_relative_information_score: 0.9339, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.2449, weighted_recall: 0.9372, number_of_instances: 2310, precision: 0.9371, predictive_accuracy: 0.9372, prior_entropy: 2.8074, relative_absolute_error: 0.0834, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.3367, unweighted_recall: 0.9372,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set MiceProtein

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9898, kappa: 0.9883, kb_relative_information_score: 0.9875, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9898, number_of_instances: 1080, precision: 0.99, predictive_accuracy: 0.9898, prior_entropy: 2.993, relative_absolute_error: 0.0171, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0456, root_relative_squared_error: 0.1379, unweighted_recall: 0.9903,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set mfeat-zernike

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7915, kappa: 0.765, kb_relative_information_score: 0.7921, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.18, weighted_recall: 0.7885, number_of_instances: 2000, precision: 0.7952, predictive_accuracy: 0.7885, prior_entropy: 3.3219, relative_absolute_error: 0.2406, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.6368, unweighted_recall: 0.7885,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set har

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9929, kappa: 0.9915, kb_relative_information_score: 0.9916, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9929, number_of_instances: 10299, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 2.5759, relative_absolute_error: 0.0112, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.044, root_relative_squared_error: 0.1183, unweighted_recall: 0.993,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 0.9947, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.453, weighted_recall: 1, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.931, relative_absolute_error: 0.0073, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0154, root_relative_squared_error: 0.0323, unweighted_recall: 1,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set sick

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9901, kappa: 0.9131, kb_relative_information_score: 0.8574, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9902, number_of_instances: 3772, precision: 0.9901, predictive_accuracy: 0.9902, prior_entropy: 0.3324, relative_absolute_error: 0.1028, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.087, root_relative_squared_error: 0.3628, unweighted_recall: 0.9482,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set spambase

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9574, kappa: 0.9107, kb_relative_information_score: 0.8893, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9574, number_of_instances: 4601, precision: 0.9574, predictive_accuracy: 0.9574, prior_entropy: 0.9674, relative_absolute_error: 0.1142, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.3813, unweighted_recall: 0.9547,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set electricity

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9047, kappa: 0.8048, kb_relative_information_score: 0.6899, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.4886, weighted_recall: 0.9047, number_of_instances: 45312, precision: 0.9046, predictive_accuracy: 0.9047, prior_entropy: 0.9835, relative_absolute_error: 0.3348, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.266, root_relative_squared_error: 0.5383, unweighted_recall: 0.902,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set satimage

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9225, kappa: 0.9054, kb_relative_information_score: 0.9089, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.2701, weighted_recall: 0.9235, number_of_instances: 6430, precision: 0.9223, predictive_accuracy: 0.9235, prior_entropy: 2.4834, relative_absolute_error: 0.1027, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.3915, unweighted_recall: 0.9055,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set wdbc

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.956, kappa: 0.9056, kb_relative_information_score: 0.9076, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9561, number_of_instances: 569, precision: 0.956, predictive_accuracy: 0.9561, prior_entropy: 0.9526, relative_absolute_error: 0.0901, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3594, unweighted_recall: 0.9506,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pendigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9925, kappa: 0.9916, kb_relative_information_score: 0.9928, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.18, weighted_recall: 0.9924, number_of_instances: 10992, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 3.3208, relative_absolute_error: 0.0092, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0346, root_relative_squared_error: 0.1155, unweighted_recall: 0.9925,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9603, kappa: 0.9356, kb_relative_information_score: 0.9335, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9602, number_of_instances: 3190, precision: 0.9608, predictive_accuracy: 0.9602, prior_entropy: 1.4802, relative_absolute_error: 0.0765, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.3229, unweighted_recall: 0.96,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pendigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9935, kappa: 0.9928, kb_relative_information_score: 0.9932, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.18, weighted_recall: 0.9935, number_of_instances: 10992, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 3.3208, relative_absolute_error: 0.0086, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0335, root_relative_squared_error: 0.1116, unweighted_recall: 0.9935,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set optdigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.984, kappa: 0.9822, kb_relative_information_score: 0.9838, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.18, weighted_recall: 0.984, number_of_instances: 5620, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 3.3218, relative_absolute_error: 0.0206, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.1715, unweighted_recall: 0.984,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set sick

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9912, kappa: 0.9234, kb_relative_information_score: 0.8577, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9913, number_of_instances: 3772, precision: 0.9912, predictive_accuracy: 0.9913, prior_entropy: 0.3324, relative_absolute_error: 0.1011, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0839, root_relative_squared_error: 0.35, unweighted_recall: 0.9589,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set eucalyptus

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.6606, kappa: 0.566, kb_relative_information_score: 0.5891, mean_absolute_error: 0.1539, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6617, number_of_instances: 736, precision: 0.6609, predictive_accuracy: 0.6617, prior_entropy: 2.2621, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.7829, unweighted_recall: 0.6347,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set kc2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.8255, kappa: 0.4402, kb_relative_information_score: 0.2986, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8352, number_of_instances: 522, precision: 0.8225, predictive_accuracy: 0.8352, prior_entropy: 0.7318, relative_absolute_error: 0.6288, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.9071, unweighted_recall: 0.6987,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set kc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.7826, kappa: 0.0368, kb_relative_information_score: 0.0113, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8473, number_of_instances: 2109, precision: 0.8203, predictive_accuracy: 0.8473, prior_entropy: 0.6212, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.965, unweighted_recall: 0.5111,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set blood-transfusion-service-center

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, f_measure: 0.7454, kappa: 0.252, kb_relative_information_score: 0.1341, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.363, weighted_recall: 0.7727, number_of_instances: 748, precision: 0.7432, predictive_accuracy: 0.7727, prior_entropy: 0.7916, relative_absolute_error: 0.8324, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.395, root_relative_squared_error: 0.9277, unweighted_recall: 0.6055,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set ozone-level-8hr

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.9243, kappa: 0.2533, kb_relative_information_score: 0.0509, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9384, number_of_instances: 2534, precision: 0.9215, predictive_accuracy: 0.9384, prior_entropy: 0.3398, relative_absolute_error: 0.6657, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.8739, unweighted_recall: 0.5883,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set wall-robot-navigation

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9971, kappa: 0.9956, kb_relative_information_score: 0.9955, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.3312, weighted_recall: 0.9971, number_of_instances: 5456, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 1.7146, relative_absolute_error: 0.0047, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0366, root_relative_squared_error: 0.0899, unweighted_recall: 0.9954,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set connect-4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.6854, kappa: 0.3481, kb_relative_information_score: 0.2483, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.3313, weighted_recall: 0.7425, number_of_instances: 67557, precision: 0.7369, predictive_accuracy: 0.7425, prior_entropy: 1.2184, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.8461, unweighted_recall: 0.4625,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set climate-model-simulation-crashes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.9188, kappa: 0.4582, kb_relative_information_score: 0.2762, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9222, number_of_instances: 540, precision: 0.9163, predictive_accuracy: 0.9222, prior_entropy: 0.4202, relative_absolute_error: 0.5315, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.9576, unweighted_recall: 0.7111,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set churn

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.955, kappa: 0.8068, kb_relative_information_score: 0.6395, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.2429, weighted_recall: 0.957, number_of_instances: 5000, precision: 0.9563, predictive_accuracy: 0.957, prior_entropy: 0.5879, relative_absolute_error: 0.37, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.5556, unweighted_recall: 0.8698,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set jungle_chess_2pcs_raw_endgame_complete

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.8611, kappa: 0.7586, kb_relative_information_score: 0.7195, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.3832, weighted_recall: 0.8619, number_of_instances: 44819, precision: 0.8607, predictive_accuracy: 0.8619, prior_entropy: 1.3491, relative_absolute_error: 0.3274, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2382, root_relative_squared_error: 0.5442, unweighted_recall: 0.8065,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set credit-g

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.7586, kappa: 0.403, kb_relative_information_score: 0.2194, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4202, weighted_recall: 0.776, number_of_instances: 1000, precision: 0.7658, predictive_accuracy: 0.776, prior_entropy: 0.8813, relative_absolute_error: 0.775, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8895, unweighted_recall: 0.68,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set analcatdata_authorship

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 0.9825, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9881, number_of_instances: 841, precision: 0.9883, predictive_accuracy: 0.9881, prior_entropy: 1.7874, relative_absolute_error: 0.0214, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0634, root_relative_squared_error: 0.153, unweighted_recall: 0.9845,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set eucalyptus

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.6569, kappa: 0.5604, kb_relative_information_score: 0.5851, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6576, number_of_instances: 736, precision: 0.6579, predictive_accuracy: 0.6576, prior_entropy: 2.2621, relative_absolute_error: 0.4924, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.798, unweighted_recall: 0.6307,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9634, kappa: 0.9406, kb_relative_information_score: 0.9345, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9633, number_of_instances: 3190, precision: 0.9637, predictive_accuracy: 0.9633, prior_entropy: 1.4802, relative_absolute_error: 0.0771, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.3142, unweighted_recall: 0.9627,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set kc2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.8394, kappa: 0.4803, kb_relative_information_score: 0.287, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8506, number_of_instances: 522, precision: 0.8391, predictive_accuracy: 0.8506, prior_entropy: 0.7318, relative_absolute_error: 0.6667, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.8584, unweighted_recall: 0.7118,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc3

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, kb_relative_information_score: -0.0264, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8976, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, relative_absolute_error: 0.9873, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.9907, unweighted_recall: 0.5,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set optdigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9838, kappa: 0.982, kb_relative_information_score: 0.9834, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.18, weighted_recall: 0.9838, number_of_instances: 5620, precision: 0.9839, predictive_accuracy: 0.9838, prior_entropy: 3.3218, relative_absolute_error: 0.0209, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0521, root_relative_squared_error: 0.1737, unweighted_recall: 0.9838,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set jm1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7205, f_measure: 0.7418, kappa: 0.0758, kb_relative_information_score: 0.0332, mean_absolute_error: 0.2887, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8113, number_of_instances: 10885, precision: 0.78, predictive_accuracy: 0.8113, prior_entropy: 0.7087, relative_absolute_error: 0.925, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.9533, unweighted_recall: 0.5248,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set wall-robot-navigation

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9967, kappa: 0.995, kb_relative_information_score: 0.9951, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.3312, weighted_recall: 0.9967, number_of_instances: 5456, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 1.7146, relative_absolute_error: 0.005, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0384, root_relative_squared_error: 0.0943, unweighted_recall: 0.9949,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set cmc

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7159, f_measure: 0.5247, kappa: 0.2622, kb_relative_information_score: 0.2033, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5322, number_of_instances: 1473, precision: 0.5254, predictive_accuracy: 0.5322, prior_entropy: 1.539, relative_absolute_error: 0.858, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.9338, unweighted_recall: 0.4963,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set mfeat-morphological

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.7109, kappa: 0.6794, kb_relative_information_score: 0.7066, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.18, weighted_recall: 0.7115, number_of_instances: 2000, precision: 0.7118, predictive_accuracy: 0.7115, prior_entropy: 3.3219, relative_absolute_error: 0.4314, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.6482, unweighted_recall: 0.7115,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set credit-approval

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.8739, kappa: 0.7448, kb_relative_information_score: 0.6909, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.494, weighted_recall: 0.8739, number_of_instances: 690, precision: 0.874, predictive_accuracy: 0.8739, prior_entropy: 0.9912, relative_absolute_error: 0.3203, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3101, root_relative_squared_error: 0.624, unweighted_recall: 0.8725,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7908, f_measure: 0.7459, kappa: 0.4357, kb_relative_information_score: 0.3396, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7487, number_of_instances: 768, precision: 0.7445, predictive_accuracy: 0.7487, prior_entropy: 0.9331, relative_absolute_error: 0.6623, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.8836, unweighted_recall: 0.7135,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set mfeat-zernike

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7915, kappa: 0.765, kb_relative_information_score: 0.7921, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.18, weighted_recall: 0.7885, number_of_instances: 2000, precision: 0.7952, predictive_accuracy: 0.7885, prior_entropy: 3.3219, relative_absolute_error: 0.2406, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.6368, unweighted_recall: 0.7885,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set electricity

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8335, kappa: 0.6579, kb_relative_information_score: 0.4712, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8347, number_of_instances: 45312, precision: 0.8346, predictive_accuracy: 0.8347, prior_entropy: 0.9835, relative_absolute_error: 0.565, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.7045, unweighted_recall: 0.8253,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set vehicle

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.7762, kappa: 0.7068, kb_relative_information_score: 0.7282, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7801, number_of_instances: 846, precision: 0.7731, predictive_accuracy: 0.7801, prior_entropy: 1.9991, relative_absolute_error: 0.3119, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3035, root_relative_squared_error: 0.701, unweighted_recall: 0.7829,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set analcatdata_authorship

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 0.9827, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9881, number_of_instances: 841, precision: 0.9881, predictive_accuracy: 0.9881, prior_entropy: 1.7874, relative_absolute_error: 0.0198, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0679, root_relative_squared_error: 0.1638, unweighted_recall: 0.9794,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set vowel

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9546, kappa: 0.95, kb_relative_information_score: 0.9485, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9545, number_of_instances: 990, precision: 0.9549, predictive_accuracy: 0.9545, prior_entropy: 3.4594, relative_absolute_error: 0.0708, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.085, root_relative_squared_error: 0.2958, unweighted_recall: 0.9545,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set satimage

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9193, kappa: 0.9016, kb_relative_information_score: 0.9058, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.2701, weighted_recall: 0.9204, number_of_instances: 6430, precision: 0.919, predictive_accuracy: 0.9204, prior_entropy: 2.4834, relative_absolute_error: 0.1079, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.3956, unweighted_recall: 0.901,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.9076, kappa: 0.146, kb_relative_information_score: 0.002, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9288, number_of_instances: 1109, precision: 0.9026, predictive_accuracy: 0.9288, prior_entropy: 0.3638, relative_absolute_error: 0.8297, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2411, root_relative_squared_error: 0.9483, unweighted_recall: 0.5471,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set banknote-authentication

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9956, kappa: 0.9911, kb_relative_information_score: 0.9889, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9956, number_of_instances: 1372, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9911, relative_absolute_error: 0.0114, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.065, root_relative_squared_error: 0.1309, unweighted_recall: 0.9956,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set ilpd

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.6524, kappa: 0.1085, kb_relative_information_score: 0.0845, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6878, number_of_instances: 583, precision: 0.6436, predictive_accuracy: 0.6878, prior_entropy: 0.8641, relative_absolute_error: 0.8754, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9955, unweighted_recall: 0.5465,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set PhishingWebsites

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9709, kappa: 0.9409, kb_relative_information_score: 0.9136, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9709, number_of_instances: 11055, precision: 0.9709, predictive_accuracy: 0.9709, prior_entropy: 0.9906, relative_absolute_error: 0.0929, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.2915, unweighted_recall: 0.9699,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set dresses-sales

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5505, f_measure: 0.5423, kappa: 0.0573, kb_relative_information_score: 0.0455, mean_absolute_error: 0.4635, mean_prior_absolute_error: 0.4873, weighted_recall: 0.56, number_of_instances: 500, precision: 0.543, predictive_accuracy: 0.56, prior_entropy: 0.9815, relative_absolute_error: 0.9513, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5444, root_relative_squared_error: 1.1031, unweighted_recall: 0.5274,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set bank-marketing

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.86, kappa: 0.2093, kb_relative_information_score: 0.1063, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.2066, weighted_recall: 0.8919, number_of_instances: 45211, precision: 0.8714, predictive_accuracy: 0.8919, prior_entropy: 0.5206, relative_absolute_error: 0.8257, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.287, root_relative_squared_error: 0.8931, unweighted_recall: 0.5692,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set car

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9962, kb_relative_information_score: 0.9921, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.229, weighted_recall: 0.9983, number_of_instances: 1728, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 1.2058, relative_absolute_error: 0.0116, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0256, root_relative_squared_error: 0.0758, unweighted_recall: 0.9923,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set steel-plates-fault

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.7965, kappa: 0.7373, kb_relative_information_score: 0.7738, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7965, number_of_instances: 1941, precision: 0.797, predictive_accuracy: 0.7965, prior_entropy: 2.4107, relative_absolute_error: 0.2847, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.6184, unweighted_recall: 0.807,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set kr-vs-kp

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 0.9846, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.499, weighted_recall: 0.9956, number_of_instances: 3196, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9986, relative_absolute_error: 0.0176, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0587, root_relative_squared_error: 0.1174, unweighted_recall: 0.9956,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set cmc

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, f_measure: 0.5545, kappa: 0.3084, kb_relative_information_score: 0.2376, mean_absolute_error: 0.3569, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5553, number_of_instances: 1473, precision: 0.5577, predictive_accuracy: 0.5553, prior_entropy: 1.539, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.917, unweighted_recall: 0.5315,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set dna

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9628, kappa: 0.9395, kb_relative_information_score: 0.9323, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.41, weighted_recall: 0.9626, number_of_instances: 3186, precision: 0.9633, predictive_accuracy: 0.9626, prior_entropy: 1.4798, relative_absolute_error: 0.0793, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.311, unweighted_recall: 0.9613,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set mfeat-morphological

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.7101, kappa: 0.6783, kb_relative_information_score: 0.7032, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.18, weighted_recall: 0.7105, number_of_instances: 2000, precision: 0.7111, predictive_accuracy: 0.7105, prior_entropy: 3.3219, relative_absolute_error: 0.4385, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.6479, unweighted_recall: 0.7105,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set mfeat-fourier

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.8474, kappa: 0.8306, kb_relative_information_score: 0.8501, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.18, weighted_recall: 0.8475, number_of_instances: 2000, precision: 0.8484, predictive_accuracy: 0.8475, prior_entropy: 3.3219, relative_absolute_error: 0.1944, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.5149, unweighted_recall: 0.8475,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set mfeat-pixel

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9725, kappa: 0.9694, kb_relative_information_score: 0.9722, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.18, weighted_recall: 0.9725, number_of_instances: 2000, precision: 0.9726, predictive_accuracy: 0.9725, prior_entropy: 3.3219, relative_absolute_error: 0.0358, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2185, unweighted_recall: 0.9725,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7505, kappa: 0.4469, kb_relative_information_score: 0.3622, mean_absolute_error: 0.2868, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7526, number_of_instances: 768, precision: 0.7492, predictive_accuracy: 0.7526, prior_entropy: 0.9331, relative_absolute_error: 0.631, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8984, unweighted_recall: 0.72,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set credit-approval

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.871, kappa: 0.7389, kb_relative_information_score: 0.6664, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.494, weighted_recall: 0.871, number_of_instances: 690, precision: 0.8711, predictive_accuracy: 0.871, prior_entropy: 0.9912, relative_absolute_error: 0.3523, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.6212, unweighted_recall: 0.8696,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set vehicle

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.7656, kappa: 0.6926, kb_relative_information_score: 0.7189, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7695, number_of_instances: 846, precision: 0.7629, predictive_accuracy: 0.7695, prior_entropy: 1.9991, relative_absolute_error: 0.3212, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.7082, unweighted_recall: 0.7723,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set analcatdata_dmft

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5634, f_measure: 0.2206, kappa: 0.0638, kb_relative_information_score: 0.0723, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.2774, weighted_recall: 0.2246, number_of_instances: 797, precision: 0.2244, predictive_accuracy: 0.2246, prior_entropy: 2.5803, relative_absolute_error: 0.9853, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3757, root_relative_squared_error: 1.0087, unweighted_recall: 0.22,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set vowel

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9546, kappa: 0.95, kb_relative_information_score: 0.9485, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9545, number_of_instances: 990, precision: 0.9549, predictive_accuracy: 0.9545, prior_entropy: 3.4594, relative_absolute_error: 0.0708, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.085, root_relative_squared_error: 0.2958, unweighted_recall: 0.9545,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set semeion

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9423, kappa: 0.9358, kb_relative_information_score: 0.9394, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.18, weighted_recall: 0.9422, number_of_instances: 1593, precision: 0.943, predictive_accuracy: 0.9422, prior_entropy: 3.3218, relative_absolute_error: 0.0772, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.3195, unweighted_recall: 0.9421,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set ilpd

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6734, f_measure: 0.6284, kappa: 0.0454, kb_relative_information_score: 0.0738, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6741, number_of_instances: 583, precision: 0.6148, predictive_accuracy: 0.6741, prior_entropy: 0.8641, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4529, root_relative_squared_error: 1.0019, unweighted_recall: 0.519,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8967, kappa: 0.4799, kb_relative_information_score: 0.3348, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.2148, weighted_recall: 0.906, number_of_instances: 1458, precision: 0.8952, predictive_accuracy: 0.906, prior_entropy: 0.5353, relative_absolute_error: 0.5554, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2562, root_relative_squared_error: 0.7825, unweighted_recall: 0.7022,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, kb_relative_information_score: -0.1829, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9306, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, relative_absolute_error: 0.919, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2412, root_relative_squared_error: 0.9489, unweighted_recall: 0.5,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set qsar-biodeg

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.861, kappa: 0.6864, kb_relative_information_score: 0.6226, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8626, number_of_instances: 1055, precision: 0.861, predictive_accuracy: 0.8626, prior_entropy: 0.9223, relative_absolute_error: 0.3805, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.6642, unweighted_recall: 0.8363,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set kc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, f_measure: 0.7947, kappa: 0.0965, kb_relative_information_score: 0.0193, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8473, number_of_instances: 2109, precision: 0.8061, predictive_accuracy: 0.8473, prior_entropy: 0.6212, relative_absolute_error: 0.9232, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.9652, unweighted_recall: 0.5312,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set phoneme

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.8949, kappa: 0.7461, kb_relative_information_score: 0.637, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8951, number_of_instances: 5404, precision: 0.8947, predictive_accuracy: 0.8951, prior_entropy: 0.8732, relative_absolute_error: 0.3674, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.6119, unweighted_recall: 0.8717,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set ozone-level-8hr

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.9203, kappa: 0.1837, kb_relative_information_score: 0.0315, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.1186, weighted_recall: 0.94, number_of_instances: 2534, precision: 0.9241, predictive_accuracy: 0.94, prior_entropy: 0.3398, relative_absolute_error: 0.7526, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.8919, unweighted_recall: 0.5571,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set credit-g

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7572, f_measure: 0.7517, kappa: 0.3911, kb_relative_information_score: 0.2678, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4202, weighted_recall: 0.763, number_of_instances: 1000, precision: 0.7509, predictive_accuracy: 0.763, prior_entropy: 0.8813, relative_absolute_error: 0.7127, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4157, root_relative_squared_error: 0.9071, unweighted_recall: 0.6812,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set spambase

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9552, kappa: 0.906, kb_relative_information_score: 0.8608, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9552, number_of_instances: 4601, precision: 0.9552, predictive_accuracy: 0.9552, prior_entropy: 0.9674, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.3842, unweighted_recall: 0.9519,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set mfeat-fourier

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.8489, kappa: 0.8322, kb_relative_information_score: 0.8521, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.18, weighted_recall: 0.849, number_of_instances: 2000, precision: 0.8497, predictive_accuracy: 0.849, prior_entropy: 3.3219, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.5128, unweighted_recall: 0.849,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 0.9962, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.453, weighted_recall: 1, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.931, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0112, root_relative_squared_error: 0.0236, unweighted_recall: 1,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8862, kappa: 0.4198, kb_relative_information_score: 0.2616, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.2148, weighted_recall: 0.8985, number_of_instances: 1458, precision: 0.8844, predictive_accuracy: 0.8985, prior_entropy: 0.5353, relative_absolute_error: 0.6271, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2565, root_relative_squared_error: 0.7834, unweighted_recall: 0.6713,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set phoneme

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.9004, kappa: 0.7589, kb_relative_information_score: 0.6702, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.4147, weighted_recall: 0.9008, number_of_instances: 5404, precision: 0.9001, predictive_accuracy: 0.9008, prior_entropy: 0.8732, relative_absolute_error: 0.3285, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2788, root_relative_squared_error: 0.6122, unweighted_recall: 0.8764,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set wdbc

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9577, kappa: 0.9094, kb_relative_information_score: 0.9042, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9578, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.9526, relative_absolute_error: 0.0973, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.17, root_relative_squared_error: 0.3517, unweighted_recall: 0.953,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set adult

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8563, kappa: 0.5872, kb_relative_information_score: 0.4209, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.3641, weighted_recall: 0.865, number_of_instances: 48842, precision: 0.8603, predictive_accuracy: 0.865, prior_entropy: 0.7938, relative_absolute_error: 0.5677, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.7194, unweighted_recall: 0.7637,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set jm1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7091, f_measure: 0.7313, kappa: 0.0384, kb_relative_information_score: 0.0172, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.3121, weighted_recall: 0.808, number_of_instances: 10885, precision: 0.7644, predictive_accuracy: 0.808, prior_entropy: 0.7087, relative_absolute_error: 0.9639, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3863, root_relative_squared_error: 0.9779, unweighted_recall: 0.5123,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set pc3

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, kb_relative_information_score: -0.012, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8976, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.9972, unweighted_recall: 0.5,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set qsar-biodeg

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8578, kappa: 0.68, kb_relative_information_score: 0.6515, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8588, number_of_instances: 1055, precision: 0.8574, predictive_accuracy: 0.8588, prior_entropy: 0.9223, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6926, unweighted_recall: 0.8355,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set nomao

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9682, kappa: 0.9221, kb_relative_information_score: 0.8813, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9682, number_of_instances: 34465, precision: 0.9682, predictive_accuracy: 0.9682, prior_entropy: 0.863, relative_absolute_error: 0.1234, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.3422, unweighted_recall: 0.9609,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set cylinder-bands

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.8117, kappa: 0.6117, kb_relative_information_score: 0.5365, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4879, weighted_recall: 0.8148, number_of_instances: 540, precision: 0.8172, predictive_accuracy: 0.8148, prior_entropy: 0.9825, relative_absolute_error: 0.4754, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.7462, unweighted_recall: 0.799,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set madelon

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.825, kappa: 0.65, kb_relative_information_score: 0.3581, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.5, weighted_recall: 0.825, number_of_instances: 2600, precision: 0.8251, predictive_accuracy: 0.825, prior_entropy: 1, relative_absolute_error: 0.6866, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.773, unweighted_recall: 0.825,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set GesturePhaseSegmentationProcessed

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.6712, kappa: 0.5742, kb_relative_information_score: 0.5545, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6796, number_of_instances: 9873, precision: 0.677, predictive_accuracy: 0.6796, prior_entropy: 2.1934, relative_absolute_error: 0.5236, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.764, unweighted_recall: 0.618,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set wilt

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9743, kappa: 0.7322, kb_relative_information_score: 0.6145, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.1022, weighted_recall: 0.976, number_of_instances: 4839, precision: 0.9746, predictive_accuracy: 0.976, prior_entropy: 0.3029, relative_absolute_error: 0.3401, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.6409, unweighted_recall: 0.8211,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set first-order-theorem-proving

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.5904, kappa: 0.4568, kb_relative_information_score: 0.3908, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.2508, weighted_recall: 0.6085, number_of_instances: 6118, precision: 0.5879, predictive_accuracy: 0.6085, prior_entropy: 2.3, relative_absolute_error: 0.7039, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.835, unweighted_recall: 0.4791,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set numerai28.6

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5155, f_measure: 0.4516, kappa: 0.0106, kb_relative_information_score: 0.0015, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5086, number_of_instances: 96320, precision: 0.509, predictive_accuracy: 0.5086, prior_entropy: 0.9999, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.502, root_relative_squared_error: 1.004, unweighted_recall: 0.5053,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set breast-w

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.957, kappa: 0.9046, kb_relative_information_score: 0.8627, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9571, number_of_instances: 699, precision: 0.957, predictive_accuracy: 0.9571, prior_entropy: 0.9293, relative_absolute_error: 0.1474, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.3777, unweighted_recall: 0.9505,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set MiceProtein

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9907, kappa: 0.9894, kb_relative_information_score: 0.9878, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9907, number_of_instances: 1080, precision: 0.9909, predictive_accuracy: 0.9907, prior_entropy: 2.993, relative_absolute_error: 0.0168, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0447, root_relative_squared_error: 0.1353, unweighted_recall: 0.9912,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set GesturePhaseSegmentationProcessed

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.6477, kappa: 0.5448, kb_relative_information_score: 0.4781, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6582, number_of_instances: 9873, precision: 0.6558, predictive_accuracy: 0.6582, prior_entropy: 2.1934, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.7858, unweighted_recall: 0.5937,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set semeion

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9423, kappa: 0.9358, kb_relative_information_score: 0.9394, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.18, weighted_recall: 0.9422, number_of_instances: 1593, precision: 0.943, predictive_accuracy: 0.9422, prior_entropy: 3.3218, relative_absolute_error: 0.0771, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0961, root_relative_squared_error: 0.3203, unweighted_recall: 0.9421,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set mfeat-pixel

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.973, kappa: 0.97, kb_relative_information_score: 0.9724, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.18, weighted_recall: 0.973, number_of_instances: 2000, precision: 0.9731, predictive_accuracy: 0.973, prior_entropy: 3.3219, relative_absolute_error: 0.0358, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0651, root_relative_squared_error: 0.2171, unweighted_recall: 0.973,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set sick

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9896, kappa: 0.9092, kb_relative_information_score: 0.8351, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9897, number_of_instances: 3772, precision: 0.9896, predictive_accuracy: 0.9897, prior_entropy: 0.3324, relative_absolute_error: 0.1198, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.3805, unweighted_recall: 0.95,

Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set wdbc

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.97, kappa: 0.9358, kb_relative_information_score: 0.9117, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9701, number_of_instances: 569, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.9526, relative_absolute_error: 0.0928, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.3286, unweighted_recall: 0.9657,

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