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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: 0.9931, f_measure: 0.9619, kappa: 0.9381, kb_relative_information_score: 0.9398, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9618, number_of_instances: 3190, precision: 0.9622, predictive_accuracy: 0.9618, prior_entropy: 1.4802, relative_absolute_error: 0.0669, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.331, unweighted_recall: 0.961,
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: 0.692, f_measure: 0.6233, kappa: 0.0424, kb_relative_information_score: 0.0649, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7033, number_of_instances: 583, precision: 0.6305, predictive_accuracy: 0.7033, prior_entropy: 0.8641, relative_absolute_error: 0.9031, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.9774, unweighted_recall: 0.5161,
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: 0.9569, f_measure: 0.9024, kappa: 0.7639, kb_relative_information_score: 0.7201, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.4147, weighted_recall: 0.9027, number_of_instances: 5404, precision: 0.9022, predictive_accuracy: 0.9027, prior_entropy: 0.8732, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2765, root_relative_squared_error: 0.6071, unweighted_recall: 0.8797,
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: 0.9999, f_measure: 0.9964, kappa: 0.9926, kb_relative_information_score: 0.994, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9964, number_of_instances: 1372, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9911, relative_absolute_error: 0.0061, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.046, root_relative_squared_error: 0.0925, unweighted_recall: 0.9964,
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: 0.9289, f_measure: 0.8686, kappa: 0.6285, kb_relative_information_score: 0.4916, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.3641, weighted_recall: 0.873, number_of_instances: 48842, precision: 0.8684, predictive_accuracy: 0.873, prior_entropy: 0.7938, relative_absolute_error: 0.485, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.296, root_relative_squared_error: 0.6938, unweighted_recall: 0.795,
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: 0.8396, f_measure: 0.9298, kappa: 0.3218, kb_relative_information_score: 0.1964, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9408, number_of_instances: 2534, precision: 0.9273, predictive_accuracy: 0.9408, prior_entropy: 0.3398, relative_absolute_error: 0.5576, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.923, unweighted_recall: 0.6187,
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: 0.9973, f_measure: 0.9749, kappa: 0.9492, kb_relative_information_score: 0.9418, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9749, number_of_instances: 11055, precision: 0.975, predictive_accuracy: 0.9749, prior_entropy: 0.9906, relative_absolute_error: 0.0597, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1354, root_relative_squared_error: 0.2727, unweighted_recall: 0.974,
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: 0.9927, f_measure: 0.9221, kappa: 0.9052, kb_relative_information_score: 0.9097, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.2701, weighted_recall: 0.9233, number_of_instances: 6430, precision: 0.9219, predictive_accuracy: 0.9233, prior_entropy: 2.4834, relative_absolute_error: 0.0991, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.3989, unweighted_recall: 0.9038,
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: 0.9844, f_measure: 0.9586, kappa: 0.9084, kb_relative_information_score: 0.8869, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9585, number_of_instances: 699, precision: 0.9587, predictive_accuracy: 0.9585, prior_entropy: 0.9293, relative_absolute_error: 0.1156, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.185, root_relative_squared_error: 0.3891, unweighted_recall: 0.9556,
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: 0.8205, f_measure: 0.7524, kappa: 0.4469, kb_relative_information_score: 0.2951, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7578, number_of_instances: 768, precision: 0.7519, predictive_accuracy: 0.7578, prior_entropy: 0.9331, relative_absolute_error: 0.7216, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8465, unweighted_recall: 0.7153,
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: 0.9869, f_measure: 0.957, kappa: 0.9098, kb_relative_information_score: 0.8903, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.4776, weighted_recall: 0.957, number_of_instances: 4601, precision: 0.9569, predictive_accuracy: 0.957, prior_entropy: 0.9674, relative_absolute_error: 0.1134, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.3752, unweighted_recall: 0.9547,
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: 0.8866, f_measure: 0.6586, kappa: 0.5628, kb_relative_information_score: 0.5793, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6603, number_of_instances: 736, precision: 0.6614, predictive_accuracy: 0.6603, prior_entropy: 2.2621, relative_absolute_error: 0.4954, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.8049, unweighted_recall: 0.6292,
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: 0.8033, f_measure: 0.8366, kappa: 0.3118, kb_relative_information_score: 0.0978, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8582, number_of_instances: 2109, precision: 0.8347, predictive_accuracy: 0.8582, prior_entropy: 0.6212, relative_absolute_error: 0.7647, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.9057, unweighted_recall: 0.6229,
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: 0.796, f_measure: 0.92, kappa: 0.2943, kb_relative_information_score: 0.1114, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9324, number_of_instances: 1109, precision: 0.9163, predictive_accuracy: 0.9324, prior_entropy: 0.3638, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.9316, unweighted_recall: 0.6091,
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: 0.9931, f_measure: 0.9683, kappa: 0.9319, kb_relative_information_score: 0.9284, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9684, number_of_instances: 569, precision: 0.9684, predictive_accuracy: 0.9684, prior_entropy: 0.9526, relative_absolute_error: 0.0708, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.3251, unweighted_recall: 0.9633,
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: 0.692, f_measure: 0.6233, kappa: 0.0424, kb_relative_information_score: 0.0649, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7033, number_of_instances: 583, precision: 0.6305, predictive_accuracy: 0.7033, prior_entropy: 0.8641, relative_absolute_error: 0.9031, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.9774, unweighted_recall: 0.5161,
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: 0.9115, f_measure: 0.8706, kappa: 0.7097, kb_relative_information_score: 0.6409, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8711, number_of_instances: 1055, precision: 0.8703, predictive_accuracy: 0.8711, prior_entropy: 0.9223, relative_absolute_error: 0.3591, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.676, unweighted_recall: 0.8524,
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: 0.9112, f_measure: 0.835, kappa: 0.67, kb_relative_information_score: 0.4633, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.5, weighted_recall: 0.835, number_of_instances: 2600, precision: 0.8354, predictive_accuracy: 0.835, prior_entropy: 1, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7041, unweighted_recall: 0.835,
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: 0.9933, kappa: 0.9925, kb_relative_information_score: 0.9932, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.18, weighted_recall: 0.9933, number_of_instances: 10992, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 3.3208, relative_absolute_error: 0.0089, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0334, root_relative_squared_error: 0.1114, unweighted_recall: 0.9932,
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: 0.9927, f_measure: 0.9221, kappa: 0.9052, kb_relative_information_score: 0.9097, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.2701, weighted_recall: 0.9233, number_of_instances: 6430, precision: 0.9219, predictive_accuracy: 0.9233, prior_entropy: 2.4834, relative_absolute_error: 0.0991, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.3989, unweighted_recall: 0.9038,
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: 0.9831, kappa: 0.9812, kb_relative_information_score: 0.9828, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.18, weighted_recall: 0.9831, number_of_instances: 5620, precision: 0.9831, predictive_accuracy: 0.9831, prior_entropy: 3.3218, relative_absolute_error: 0.0218, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.1759, unweighted_recall: 0.9831,
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: 0.9039, f_measure: 0.6922, kappa: 0.6009, kb_relative_information_score: 0.6119, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.3065, weighted_recall: 0.699, number_of_instances: 9873, precision: 0.696, predictive_accuracy: 0.699, prior_entropy: 2.1934, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.7834, unweighted_recall: 0.6406,
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: 0.8033, f_measure: 0.8366, kappa: 0.3118, kb_relative_information_score: 0.0978, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8582, number_of_instances: 2109, precision: 0.8347, predictive_accuracy: 0.8582, prior_entropy: 0.6212, relative_absolute_error: 0.7647, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.9057, unweighted_recall: 0.6229,
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: 0.796, f_measure: 0.92, kappa: 0.2943, kb_relative_information_score: 0.1114, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9324, number_of_instances: 1109, precision: 0.9163, predictive_accuracy: 0.9324, prior_entropy: 0.3638, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.9316, unweighted_recall: 0.6091,
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: 0.9998, f_measure: 0.9893, kappa: 0.9844, kb_relative_information_score: 0.9815, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9893, number_of_instances: 841, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 1.7874, relative_absolute_error: 0.0218, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0657, root_relative_squared_error: 0.1585, unweighted_recall: 0.9853,
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: 0.5655, f_measure: 0.2112, kappa: 0.0503, kb_relative_information_score: 0.0818, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.2774, weighted_recall: 0.212, number_of_instances: 797, precision: 0.2139, predictive_accuracy: 0.212, prior_entropy: 2.5803, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3754, root_relative_squared_error: 1.0079, unweighted_recall: 0.21,
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: 0.9999, f_measure: 0.9969, kappa: 0.9953, kb_relative_information_score: 0.9953, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.3312, weighted_recall: 0.9969, number_of_instances: 5456, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 1.7146, relative_absolute_error: 0.0048, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0373, root_relative_squared_error: 0.0916, unweighted_recall: 0.9952,
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: 0.9338, f_measure: 0.902, kappa: 0.4973, kb_relative_information_score: 0.2534, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.2066, weighted_recall: 0.9084, number_of_instances: 45211, precision: 0.8994, predictive_accuracy: 0.9084, prior_entropy: 0.5206, relative_absolute_error: 0.6028, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2493, root_relative_squared_error: 0.7755, unweighted_recall: 0.7194,
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: 0.9252, f_measure: 0.9571, kappa: 0.8171, kb_relative_information_score: 0.7423, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.2429, weighted_recall: 0.9588, number_of_instances: 5000, precision: 0.958, predictive_accuracy: 0.9588, prior_entropy: 0.5879, relative_absolute_error: 0.2346, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.5362, unweighted_recall: 0.8791,
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: 0.9406, kappa: 0.9308, kb_relative_information_score: 0.9365, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.2449, weighted_recall: 0.9407, number_of_instances: 2310, precision: 0.9408, predictive_accuracy: 0.9407, prior_entropy: 2.8074, relative_absolute_error: 0.0806, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1158, root_relative_squared_error: 0.3309, unweighted_recall: 0.9407,
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: 0.9793, f_measure: 0.8737, kappa: 0.7804, kb_relative_information_score: 0.7612, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.3832, weighted_recall: 0.8741, number_of_instances: 44819, precision: 0.8734, predictive_accuracy: 0.8741, prior_entropy: 1.3491, relative_absolute_error: 0.2777, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.509, unweighted_recall: 0.8242,
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: 0.9937, f_measure: 0.9893, kappa: 0.9066, kb_relative_information_score: 0.8551, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9894, number_of_instances: 3772, precision: 0.9893, predictive_accuracy: 0.9894, prior_entropy: 0.3324, relative_absolute_error: 0.1049, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.3842, unweighted_recall: 0.9478,
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: 0.9826, f_measure: 0.9835, kappa: 0.8355, kb_relative_information_score: 0.7317, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9839, number_of_instances: 4839, precision: 0.9834, predictive_accuracy: 0.9839, prior_entropy: 0.3029, relative_absolute_error: 0.2045, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1139, root_relative_squared_error: 0.504, unweighted_recall: 0.9012,
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: 0.9252, f_measure: 0.9571, kappa: 0.8171, kb_relative_information_score: 0.7423, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.2429, weighted_recall: 0.9588, number_of_instances: 5000, precision: 0.958, predictive_accuracy: 0.9588, prior_entropy: 0.5879, relative_absolute_error: 0.2346, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.5362, unweighted_recall: 0.8791,
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: 0.9424, f_measure: 0.8053, kappa: 0.7483, kb_relative_information_score: 0.7619, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2223, weighted_recall: 0.8053, number_of_instances: 1941, precision: 0.8067, predictive_accuracy: 0.8053, prior_entropy: 2.4107, relative_absolute_error: 0.3069, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.6024, unweighted_recall: 0.8107,
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: 0.9968, f_measure: 0.9386, kappa: 0.9316, kb_relative_information_score: 0.9385, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.18, weighted_recall: 0.9385, number_of_instances: 1593, precision: 0.9392, predictive_accuracy: 0.9385, prior_entropy: 3.3218, relative_absolute_error: 0.0807, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.3207, unweighted_recall: 0.9383,
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: 0.993, f_measure: 0.9634, kappa: 0.9404, kb_relative_information_score: 0.9403, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.41, weighted_recall: 0.9633, number_of_instances: 3186, precision: 0.9636, predictive_accuracy: 0.9633, prior_entropy: 1.4798, relative_absolute_error: 0.0667, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.3184, unweighted_recall: 0.9608,
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: 0.9931, f_measure: 0.9683, kappa: 0.9319, kb_relative_information_score: 0.9284, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9684, number_of_instances: 569, precision: 0.9684, predictive_accuracy: 0.9684, prior_entropy: 0.9526, relative_absolute_error: 0.0708, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.3251, unweighted_recall: 0.9633,
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: 0.7485, f_measure: 0.7759, kappa: 0.2051, kb_relative_information_score: 0.077, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8177, number_of_instances: 10885, precision: 0.7859, predictive_accuracy: 0.8177, prior_entropy: 0.7087, relative_absolute_error: 0.8462, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.9279, unweighted_recall: 0.5753,
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: 0.724, f_measure: 0.7376, kappa: 0.2263, kb_relative_information_score: 0.1192, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.363, weighted_recall: 0.7687, number_of_instances: 748, precision: 0.7357, predictive_accuracy: 0.7687, prior_entropy: 0.7916, relative_absolute_error: 0.8505, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.397, root_relative_squared_error: 0.9324, unweighted_recall: 0.5932,
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: 0.9047, f_measure: 0.8469, kappa: 0.6847, kb_relative_information_score: 0.6386, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.4879, weighted_recall: 0.8481, number_of_instances: 540, precision: 0.8486, predictive_accuracy: 0.8481, prior_entropy: 0.9825, relative_absolute_error: 0.3661, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7169, unweighted_recall: 0.8379,
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: 0.9826, f_measure: 0.9835, kappa: 0.8355, kb_relative_information_score: 0.7317, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9839, number_of_instances: 4839, precision: 0.9834, predictive_accuracy: 0.9839, prior_entropy: 0.3029, relative_absolute_error: 0.2045, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1139, root_relative_squared_error: 0.504, unweighted_recall: 0.9012,
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: 0.526, f_measure: 0.5129, kappa: 0.0362, kb_relative_information_score: 0.0038, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5193, number_of_instances: 96320, precision: 0.5191, predictive_accuracy: 0.5193, prior_entropy: 0.9999, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.999, unweighted_recall: 0.5181,
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: 0.9874, mean_absolute_error: 0.0039, 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: 0.018, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0446, root_relative_squared_error: 0.1349, unweighted_recall: 0.9896,
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: 0.9153, f_measure: 0.8754, kappa: 0.7477, kb_relative_information_score: 0.6909, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.494, weighted_recall: 0.8754, number_of_instances: 690, precision: 0.8754, predictive_accuracy: 0.8754, prior_entropy: 0.9912, relative_absolute_error: 0.3197, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.649, unweighted_recall: 0.8738,
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: 0.9211, f_measure: 0.7621, kappa: 0.6879, kb_relative_information_score: 0.725, mean_absolute_error: 0.1189, mean_prior_absolute_error: 0.3748, weighted_recall: 0.766, number_of_instances: 846, precision: 0.759, predictive_accuracy: 0.766, prior_entropy: 1.9991, relative_absolute_error: 0.3171, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.6897, unweighted_recall: 0.7687,
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: 0.9787, f_measure: 0.9262, kappa: 0.8489, kb_relative_information_score: 0.782, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.4886, weighted_recall: 0.9262, number_of_instances: 45312, precision: 0.9262, predictive_accuracy: 0.9262, prior_entropy: 0.9835, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.4733, unweighted_recall: 0.9242,
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: 0.9491, f_measure: 0.7283, kappa: 0.7017, kb_relative_information_score: 0.5172, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.18, weighted_recall: 0.7315, number_of_instances: 2000, precision: 0.7323, predictive_accuracy: 0.7315, prior_entropy: 3.3219, relative_absolute_error: 0.6512, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.7474, unweighted_recall: 0.7315,
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: 0.9351, f_measure: 0.9113, kappa: 0.57, kb_relative_information_score: 0.4582, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.2148, weighted_recall: 0.915, number_of_instances: 1458, precision: 0.9093, predictive_accuracy: 0.915, prior_entropy: 0.5353, relative_absolute_error: 0.4218, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.798, unweighted_recall: 0.7629,
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: 0.9931, f_measure: 0.9619, kappa: 0.9381, kb_relative_information_score: 0.9398, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9618, number_of_instances: 3190, precision: 0.9622, predictive_accuracy: 0.9618, prior_entropy: 1.4802, relative_absolute_error: 0.0669, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.331, unweighted_recall: 0.961,
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: 0.7485, f_measure: 0.7759, kappa: 0.2051, kb_relative_information_score: 0.077, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8177, number_of_instances: 10885, precision: 0.7859, predictive_accuracy: 0.8177, prior_entropy: 0.7087, relative_absolute_error: 0.8462, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.9279, unweighted_recall: 0.5753,
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: 0.5655, f_measure: 0.2112, kappa: 0.0503, kb_relative_information_score: 0.0818, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.2774, weighted_recall: 0.212, number_of_instances: 797, precision: 0.2139, predictive_accuracy: 0.212, prior_entropy: 2.5803, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3754, root_relative_squared_error: 1.0079, unweighted_recall: 0.21,
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: 0.9981, f_measure: 0.9516, kappa: 0.9467, kb_relative_information_score: 0.952, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9515, number_of_instances: 990, precision: 0.952, predictive_accuracy: 0.9515, prior_entropy: 3.4594, relative_absolute_error: 0.0637, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.2905, unweighted_recall: 0.9515,
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: 0.9569, f_measure: 0.9024, kappa: 0.7639, kb_relative_information_score: 0.7201, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.4147, weighted_recall: 0.9027, number_of_instances: 5404, precision: 0.9022, predictive_accuracy: 0.9027, prior_entropy: 0.8732, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2765, root_relative_squared_error: 0.6071, unweighted_recall: 0.8797,
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: 0.9289, f_measure: 0.8686, kappa: 0.6285, kb_relative_information_score: 0.4916, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.3641, weighted_recall: 0.873, number_of_instances: 48842, precision: 0.8684, predictive_accuracy: 0.873, prior_entropy: 0.7938, relative_absolute_error: 0.485, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.296, root_relative_squared_error: 0.6938, unweighted_recall: 0.795,
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: 0.9565, f_measure: 0.8478, kappa: 0.7023, kb_relative_information_score: 0.6116, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.3313, weighted_recall: 0.8583, number_of_instances: 67557, precision: 0.8442, predictive_accuracy: 0.8583, prior_entropy: 1.2184, relative_absolute_error: 0.4126, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.6342, unweighted_recall: 0.6958,
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: 0.9999, f_measure: 0.9964, kappa: 0.9926, kb_relative_information_score: 0.994, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9964, number_of_instances: 1372, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9911, relative_absolute_error: 0.0061, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.046, root_relative_squared_error: 0.0925, unweighted_recall: 0.9964,
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: 0.724, f_measure: 0.7376, kappa: 0.2263, kb_relative_information_score: 0.1192, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.363, weighted_recall: 0.7687, number_of_instances: 748, precision: 0.7357, predictive_accuracy: 0.7687, prior_entropy: 0.7916, relative_absolute_error: 0.8505, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.397, root_relative_squared_error: 0.9324, unweighted_recall: 0.5932,
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: 0.9999, f_measure: 0.9969, kappa: 0.9953, kb_relative_information_score: 0.9953, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.3312, weighted_recall: 0.9969, number_of_instances: 5456, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 1.7146, relative_absolute_error: 0.0048, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0373, root_relative_squared_error: 0.0916, unweighted_recall: 0.9952,
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: 0.9047, f_measure: 0.8469, kappa: 0.6847, kb_relative_information_score: 0.6386, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.4879, weighted_recall: 0.8481, number_of_instances: 540, precision: 0.8486, predictive_accuracy: 0.8481, prior_entropy: 0.9825, relative_absolute_error: 0.3661, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7169, unweighted_recall: 0.8379,
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: 0.9973, f_measure: 0.9749, kappa: 0.9492, kb_relative_information_score: 0.9418, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9749, number_of_instances: 11055, precision: 0.975, predictive_accuracy: 0.9749, prior_entropy: 0.9906, relative_absolute_error: 0.0597, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1354, root_relative_squared_error: 0.2727, unweighted_recall: 0.974,
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: 0.5562, f_measure: 0.5328, kappa: 0.0441, kb_relative_information_score: 0.0209, mean_absolute_error: 0.4773, mean_prior_absolute_error: 0.4873, weighted_recall: 0.56, number_of_instances: 500, precision: 0.5376, predictive_accuracy: 0.56, prior_entropy: 0.9815, relative_absolute_error: 0.9795, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.511, root_relative_squared_error: 1.0354, unweighted_recall: 0.5209,
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: 0.9338, f_measure: 0.902, kappa: 0.4973, kb_relative_information_score: 0.2534, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.2066, weighted_recall: 0.9084, number_of_instances: 45211, precision: 0.8994, predictive_accuracy: 0.9084, prior_entropy: 0.5206, relative_absolute_error: 0.6028, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2493, root_relative_squared_error: 0.7755, unweighted_recall: 0.7194,
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: 0.9988, kappa: 0.9975, kb_relative_information_score: 0.996, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.229, weighted_recall: 0.9988, number_of_instances: 1728, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.2058, relative_absolute_error: 0.0058, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0196, root_relative_squared_error: 0.058, unweighted_recall: 0.9962,
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: 0.9954, f_measure: 0.9725, kappa: 0.9325, kb_relative_information_score: 0.9168, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9725, number_of_instances: 34465, precision: 0.9725, predictive_accuracy: 0.9725, prior_entropy: 0.863, relative_absolute_error: 0.0812, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.145, root_relative_squared_error: 0.3209, unweighted_recall: 0.9656,
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: 0.9793, f_measure: 0.8737, kappa: 0.7804, kb_relative_information_score: 0.7612, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.3832, weighted_recall: 0.8741, number_of_instances: 44819, precision: 0.8734, predictive_accuracy: 0.8741, prior_entropy: 1.3491, relative_absolute_error: 0.2777, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.509, unweighted_recall: 0.8242,
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: 0.8659, f_measure: 0.6116, kappa: 0.4852, kb_relative_information_score: 0.4639, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.2508, weighted_recall: 0.6218, number_of_instances: 6118, precision: 0.6065, predictive_accuracy: 0.6218, prior_entropy: 2.3, relative_absolute_error: 0.6071, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.8381, unweighted_recall: 0.5057,
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: 0.974, kappa: 0.9711, kb_relative_information_score: 0.972, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.18, weighted_recall: 0.974, number_of_instances: 2000, precision: 0.9741, predictive_accuracy: 0.974, prior_entropy: 3.3219, relative_absolute_error: 0.0356, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.2204, unweighted_recall: 0.974,
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: 0.9998, f_measure: 0.9878, kappa: 0.9866, kb_relative_information_score: 0.9882, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9878, number_of_instances: 5500, precision: 0.9879, predictive_accuracy: 0.9878, prior_entropy: 3.4594, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0427, root_relative_squared_error: 0.1485, unweighted_recall: 0.9878,
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: 0.9565, f_measure: 0.8478, kappa: 0.7023, kb_relative_information_score: 0.6116, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.3313, weighted_recall: 0.8583, number_of_instances: 67557, precision: 0.8442, predictive_accuracy: 0.8583, prior_entropy: 1.2184, relative_absolute_error: 0.4126, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.6342, unweighted_recall: 0.6958,
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: 0.9426, f_measure: 0.9382, kappa: 0.5667, kb_relative_information_score: 0.5476, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9444, number_of_instances: 540, precision: 0.9389, predictive_accuracy: 0.9444, prior_entropy: 0.4202, relative_absolute_error: 0.3528, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.7408, unweighted_recall: 0.7331,
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: 0.9988, kappa: 0.9975, kb_relative_information_score: 0.996, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.229, weighted_recall: 0.9988, number_of_instances: 1728, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.2058, relative_absolute_error: 0.0058, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0196, root_relative_squared_error: 0.058, unweighted_recall: 0.9962,
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: 0.9992, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 0.9857, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.499, weighted_recall: 0.995, number_of_instances: 3196, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.9986, relative_absolute_error: 0.0159, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0618, root_relative_squared_error: 0.1238, unweighted_recall: 0.995,
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: 0.9968, f_measure: 0.9386, kappa: 0.9316, kb_relative_information_score: 0.9385, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.18, weighted_recall: 0.9385, number_of_instances: 1593, precision: 0.9392, predictive_accuracy: 0.9385, prior_entropy: 3.3218, relative_absolute_error: 0.0807, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.3207, unweighted_recall: 0.9383,
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: 0.9981, f_measure: 0.9516, kappa: 0.9467, kb_relative_information_score: 0.952, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9515, number_of_instances: 990, precision: 0.952, predictive_accuracy: 0.9515, prior_entropy: 3.4594, relative_absolute_error: 0.0637, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.2905, unweighted_recall: 0.9515,
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: 0.9115, f_measure: 0.8706, kappa: 0.7097, kb_relative_information_score: 0.6409, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8711, number_of_instances: 1055, precision: 0.8703, predictive_accuracy: 0.8711, prior_entropy: 0.9223, relative_absolute_error: 0.3591, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.676, unweighted_recall: 0.8524,
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: 0.5562, f_measure: 0.5328, kappa: 0.0441, kb_relative_information_score: 0.0209, mean_absolute_error: 0.4773, mean_prior_absolute_error: 0.4873, weighted_recall: 0.56, number_of_instances: 500, precision: 0.5376, predictive_accuracy: 0.56, prior_entropy: 0.9815, relative_absolute_error: 0.9795, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.511, root_relative_squared_error: 1.0354, unweighted_recall: 0.5209,
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: 0.9039, f_measure: 0.6922, kappa: 0.6009, kb_relative_information_score: 0.6119, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.3065, weighted_recall: 0.699, number_of_instances: 9873, precision: 0.696, predictive_accuracy: 0.699, prior_entropy: 2.1934, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.7834, unweighted_recall: 0.6406,
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: 0.8659, f_measure: 0.6116, kappa: 0.4852, kb_relative_information_score: 0.4639, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.2508, weighted_recall: 0.6218, number_of_instances: 6118, precision: 0.6065, predictive_accuracy: 0.6218, prior_entropy: 2.3, relative_absolute_error: 0.6071, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.8381, unweighted_recall: 0.5057,
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: 0.7716, f_measure: 0.7567, kappa: 0.401, kb_relative_information_score: 0.2645, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.4202, weighted_recall: 0.77, number_of_instances: 1000, precision: 0.7582, predictive_accuracy: 0.77, prior_entropy: 0.8813, relative_absolute_error: 0.7231, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8905, unweighted_recall: 0.6833,
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: 0.983, mean_absolute_error: 0.0103, 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: 0.0227, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0313, root_relative_squared_error: 0.0659, unweighted_recall: 1,
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: 0.7351, f_measure: 0.5498, kappa: 0.3014, kb_relative_information_score: 0.2372, mean_absolute_error: 0.3573, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5519, number_of_instances: 1473, precision: 0.5532, predictive_accuracy: 0.5519, prior_entropy: 1.539, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.9161, unweighted_recall: 0.5245,
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: 0.7686, f_measure: 0.8544, kappa: 0.0631, kb_relative_information_score: -0.0545, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8893, number_of_instances: 1563, precision: 0.8389, predictive_accuracy: 0.8893, prior_entropy: 0.4765, relative_absolute_error: 0.8714, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.9776, unweighted_recall: 0.5203,
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: 0.8194, f_measure: 0.832, kappa: 0.4579, kb_relative_information_score: 0.2714, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8429, number_of_instances: 522, precision: 0.8303, predictive_accuracy: 0.8429, prior_entropy: 0.7318, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.8365, unweighted_recall: 0.7035,
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: 0.9998, f_measure: 0.9893, kappa: 0.9844, kb_relative_information_score: 0.9815, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9893, number_of_instances: 841, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 1.7874, relative_absolute_error: 0.0218, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0657, root_relative_squared_error: 0.1585, unweighted_recall: 0.9853,
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: 0.8396, f_measure: 0.9298, kappa: 0.3218, kb_relative_information_score: 0.1964, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9408, number_of_instances: 2534, precision: 0.9273, predictive_accuracy: 0.9408, prior_entropy: 0.3398, relative_absolute_error: 0.5576, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.923, unweighted_recall: 0.6187,
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: 0.9589, f_measure: 0.7892, kappa: 0.7611, kb_relative_information_score: 0.7861, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.18, weighted_recall: 0.785, number_of_instances: 2000, precision: 0.7941, predictive_accuracy: 0.785, prior_entropy: 3.3219, relative_absolute_error: 0.2475, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.643, unweighted_recall: 0.785,
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: 0.9426, f_measure: 0.9382, kappa: 0.5667, kb_relative_information_score: 0.5476, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9444, number_of_instances: 540, precision: 0.9389, predictive_accuracy: 0.9444, prior_entropy: 0.4202, relative_absolute_error: 0.3528, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.7408, unweighted_recall: 0.7331,
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: 0.9816, f_measure: 0.8463, kappa: 0.8294, kb_relative_information_score: 0.8522, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.18, weighted_recall: 0.8465, number_of_instances: 2000, precision: 0.8469, predictive_accuracy: 0.8465, prior_entropy: 3.3219, relative_absolute_error: 0.1814, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.5243, unweighted_recall: 0.8465,
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: 0.9406, kappa: 0.9308, kb_relative_information_score: 0.9365, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.2449, weighted_recall: 0.9407, number_of_instances: 2310, precision: 0.9408, predictive_accuracy: 0.9407, prior_entropy: 2.8074, relative_absolute_error: 0.0806, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1158, root_relative_squared_error: 0.3309, unweighted_recall: 0.9407,
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: 0.9112, f_measure: 0.835, kappa: 0.67, kb_relative_information_score: 0.4633, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.5, weighted_recall: 0.835, number_of_instances: 2600, precision: 0.8354, predictive_accuracy: 0.835, prior_entropy: 1, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7041, unweighted_recall: 0.835,
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: 0.9424, f_measure: 0.8053, kappa: 0.7483, kb_relative_information_score: 0.7619, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2223, weighted_recall: 0.8053, number_of_instances: 1941, precision: 0.8067, predictive_accuracy: 0.8053, prior_entropy: 2.4107, relative_absolute_error: 0.3069, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.6024, unweighted_recall: 0.8107,
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: 0.9954, f_measure: 0.9725, kappa: 0.9325, kb_relative_information_score: 0.9168, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9725, number_of_instances: 34465, precision: 0.9725, predictive_accuracy: 0.9725, prior_entropy: 0.863, relative_absolute_error: 0.0812, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.145, root_relative_squared_error: 0.3209, unweighted_recall: 0.9656,
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: 0.9998, f_measure: 0.9878, kappa: 0.9866, kb_relative_information_score: 0.9882, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9878, number_of_instances: 5500, precision: 0.9879, predictive_accuracy: 0.9878, prior_entropy: 3.4594, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0427, root_relative_squared_error: 0.1485, unweighted_recall: 0.9878,
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: 0.9874, mean_absolute_error: 0.0039, 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: 0.018, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0446, root_relative_squared_error: 0.1349, unweighted_recall: 0.9896,
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: 0.526, f_measure: 0.5129, kappa: 0.0362, kb_relative_information_score: 0.0038, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5193, number_of_instances: 96320, precision: 0.5191, predictive_accuracy: 0.5193, prior_entropy: 0.9999, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.999, unweighted_recall: 0.5181,
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: 0.974, kappa: 0.9711, kb_relative_information_score: 0.972, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.18, weighted_recall: 0.974, number_of_instances: 2000, precision: 0.9741, predictive_accuracy: 0.974, prior_entropy: 3.3219, relative_absolute_error: 0.0356, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.2204, unweighted_recall: 0.974,
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: 0.8205, f_measure: 0.7524, kappa: 0.4469, kb_relative_information_score: 0.2951, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7519, predictive_accuracy: 0.7578, prior_entropy: 0.9331, recall: 0.7578, relative_absolute_error: 0.7216, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8465,
Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8947, kappa: 0.8167, kb_relative_information_score: 0.7744, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8935, predictive_accuracy: 0.896, prior_entropy: 1.3181, recall: 0.896, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.5388,
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: 0.7716, f_measure: 0.7567, kappa: 0.401, kb_relative_information_score: 0.2645, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7582, predictive_accuracy: 0.77, prior_entropy: 0.8813, recall: 0.77, relative_absolute_error: 0.7231, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8905,