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Thomas Fan
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Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set numerai28.6
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.514, f_measure: 0.511, kappa: 0.0262, kb_relative_information_score: 0.0044, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5134, predictive_accuracy: 0.5139, prior_entropy: 0.9999, recall: 0.5139, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5166, root_relative_squared_error: 1.0333,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set jungle_chess_2pcs_raw_endgame_complete
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.8565, kappa: 0.7505, kb_relative_information_score: 0.6879, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8559, predictive_accuracy: 0.8579, prior_entropy: 1.3491, recall: 0.8579, relative_absolute_error: 0.3646, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.248, root_relative_squared_error: 0.5665,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set Fashion-MNIST
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9017, kappa: 0.8913, kb_relative_information_score: 0.9009, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9017, predictive_accuracy: 0.9021, prior_entropy: 3.3219, recall: 0.9021, relative_absolute_error: 0.1462, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.118, root_relative_squared_error: 0.3935,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set mfeat-pixel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.973, kappa: 0.97, kb_relative_information_score: 0.9725, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9731, predictive_accuracy: 0.973, prior_entropy: 3.3219, recall: 0.973, relative_absolute_error: 0.0352, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0652, root_relative_squared_error: 0.2172,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set segment
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9415, kappa: 0.9318, kb_relative_information_score: 0.9377, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9416, predictive_accuracy: 0.9416, prior_entropy: 2.8074, recall: 0.9416, relative_absolute_error: 0.0758, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.3366,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) 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: 0.9919, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 1.2058, recall: 0.9983, relative_absolute_error: 0.0102, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0288, root_relative_squared_error: 0.0852,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set wilt
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.9784, kappa: 0.7765, kb_relative_information_score: 0.6473, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9785, predictive_accuracy: 0.9795, prior_entropy: 0.3029, recall: 0.9795, relative_absolute_error: 0.2863, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.5893,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set climate-model-simulation-crashes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8116, f_measure: 0.9135, kappa: 0.3933, kb_relative_information_score: 0.316, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9099, predictive_accuracy: 0.9222, prior_entropy: 0.4202, recall: 0.9222, relative_absolute_error: 0.5265, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.9132,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set steel-plates-fault
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.8013, kappa: 0.7426, kb_relative_information_score: 0.7803, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8028, predictive_accuracy: 0.8006, prior_entropy: 2.4107, recall: 0.8006, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.6111,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set MiceProtein
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.988, kappa: 0.9862, kb_relative_information_score: 0.9866, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.988, predictive_accuracy: 0.988, prior_entropy: 2.993, recall: 0.988, relative_absolute_error: 0.0207, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0454, root_relative_squared_error: 0.1375,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set connect-4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.677, kappa: 0.3267, kb_relative_information_score: 0.2337, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7256, predictive_accuracy: 0.7378, prior_entropy: 1.2184, recall: 0.7378, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3476, root_relative_squared_error: 0.8542,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set texture
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9886, kappa: 0.9874, kb_relative_information_score: 0.9881, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9886, predictive_accuracy: 0.9885, prior_entropy: 3.4594, recall: 0.9885, relative_absolute_error: 0.0152, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0426, root_relative_squared_error: 0.148,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set dresses-sales
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5734, f_measure: 0.5832, kappa: 0.1445, kb_relative_information_score: 0.071, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5917, predictive_accuracy: 0.604, prior_entropy: 0.9815, recall: 0.604, relative_absolute_error: 0.9297, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5231, root_relative_squared_error: 1.0599,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set har
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9935, kappa: 0.9922, kb_relative_information_score: 0.9923, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 2.5759, recall: 0.9935, relative_absolute_error: 0.0103, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0416, root_relative_squared_error: 0.1117,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set GesturePhaseSegmentationProcessed
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.6516, kappa: 0.5495, kb_relative_information_score: 0.4882, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6621, predictive_accuracy: 0.6623, prior_entropy: 2.1934, recall: 0.6623, relative_absolute_error: 0.6092, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.305, root_relative_squared_error: 0.7792,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set bank-marketing
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.8631, kappa: 0.2295, kb_relative_information_score: 0.1539, mean_absolute_error: 0.1529, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.874, predictive_accuracy: 0.8933, prior_entropy: 0.5206, recall: 0.8933, relative_absolute_error: 0.7399, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.826,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set cylinder-bands
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.8011, kappa: 0.5899, kb_relative_information_score: 0.5443, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8044, predictive_accuracy: 0.8037, prior_entropy: 0.9825, recall: 0.8037, relative_absolute_error: 0.4626, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3821, root_relative_squared_error: 0.7736,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set PhishingWebsites
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9672, kappa: 0.9335, kb_relative_information_score: 0.9034, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9673, predictive_accuracy: 0.9673, prior_entropy: 0.9906, recall: 0.9673, relative_absolute_error: 0.1042, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.3098,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.7301, kappa: 0.2, kb_relative_information_score: 0.1124, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7322, predictive_accuracy: 0.7687, prior_entropy: 0.7916, recall: 0.7687, relative_absolute_error: 0.848, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.945,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set banknote-authentication
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9956, kappa: 0.9911, kb_relative_information_score: 0.9911, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9911, recall: 0.9956, relative_absolute_error: 0.009, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0557, root_relative_squared_error: 0.1122,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set first-order-theorem-proving
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.5647, kappa: 0.421, kb_relative_information_score: 0.3541, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5683, predictive_accuracy: 0.591, prior_entropy: 2.3, recall: 0.591, relative_absolute_error: 0.7389, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.8495,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set cnae-9
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.928, kappa: 0.9188, kb_relative_information_score: 0.9232, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9286, predictive_accuracy: 0.9278, prior_entropy: 3.1699, recall: 0.9278, relative_absolute_error: 0.0966, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.111, root_relative_squared_error: 0.3532,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set ozone-level-8hr
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.9131, kappa: 0.0918, kb_relative_information_score: -0.0692, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9162, predictive_accuracy: 0.9376, prior_entropy: 0.3398, recall: 0.9376, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.8893,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set nomao
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9598, kappa: 0.9015, kb_relative_information_score: 0.8702, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9598, predictive_accuracy: 0.9599, prior_entropy: 0.863, recall: 0.9599, relative_absolute_error: 0.1286, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.4061,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set madelon
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8257, kappa: 0.6515, kb_relative_information_score: 0.398, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.826, predictive_accuracy: 0.8258, prior_entropy: 1, recall: 0.8258, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.7747,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set ilpd
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.6556, kappa: 0.1151, kb_relative_information_score: 0.0941, mean_absolute_error: 0.3528, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6524, predictive_accuracy: 0.6998, prior_entropy: 0.8641, recall: 0.6998, relative_absolute_error: 0.8624, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.467, root_relative_squared_error: 1.0329,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set semeion
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9398, kappa: 0.933, kb_relative_information_score: 0.9396, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9401, predictive_accuracy: 0.9397, prior_entropy: 3.3218, recall: 0.9397, relative_absolute_error: 0.0787, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.3181,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set wall-robot-navigation
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9973, kappa: 0.9958, kb_relative_information_score: 0.9956, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 1.7146, recall: 0.9973, relative_absolute_error: 0.0046, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0364, root_relative_squared_error: 0.0895,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set qsar-biodeg
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.868, kappa: 0.7025, kb_relative_information_score: 0.6456, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8678, predictive_accuracy: 0.8692, prior_entropy: 0.9223, recall: 0.8692, relative_absolute_error: 0.3509, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.679,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set phoneme
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8852, kappa: 0.7231, kb_relative_information_score: 0.6561, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8852, predictive_accuracy: 0.8853, prior_entropy: 0.8732, recall: 0.8853, relative_absolute_error: 0.3337, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.6772,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set wdbc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9612, kappa: 0.9168, kb_relative_information_score: 0.906, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.9526, recall: 0.9613, relative_absolute_error: 0.0918, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.3802,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set Bioresponse
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.7854, kappa: 0.5671, kb_relative_information_score: 0.371, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7861, predictive_accuracy: 0.7862, prior_entropy: 0.9948, recall: 0.7862, relative_absolute_error: 0.6631, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.405, root_relative_squared_error: 0.813,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set adult
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.8632, kappa: 0.6097, kb_relative_information_score: 0.4488, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8652, predictive_accuracy: 0.87, prior_entropy: 0.7938, recall: 0.87, relative_absolute_error: 0.5372, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.7111,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set pc1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.8967, kappa: -0.0018, kb_relative_information_score: -0.1776, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8659, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.9343,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set kc1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.7929, kappa: 0.0869, kb_relative_information_score: 0.0285, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8087, predictive_accuracy: 0.8478, prior_entropy: 0.6212, recall: 0.8478, relative_absolute_error: 0.8727, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.9163,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.8141, kappa: 0.3826, kb_relative_information_score: 0.2288, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8225, predictive_accuracy: 0.8372, prior_entropy: 0.7318, recall: 0.8372, relative_absolute_error: 0.7509, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.847,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set jm1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7369, f_measure: 0.7408, kappa: 0.0722, kb_relative_information_score: 0.037, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7757, predictive_accuracy: 0.8106, prior_entropy: 0.7087, recall: 0.8106, relative_absolute_error: 0.9061, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.9412,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set pc3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.8526, kappa: 0.0327, kb_relative_information_score: -0.0962, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8415, predictive_accuracy: 0.8951, prior_entropy: 0.4765, recall: 0.8951, relative_absolute_error: 0.8687, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.9389,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set pc4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.9047, kappa: 0.5171, kb_relative_information_score: 0.3615, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9055, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.537, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.25, root_relative_squared_error: 0.7636,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set mnist_784
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9764, kappa: 0.9738, kb_relative_information_score: 0.9733, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9765, predictive_accuracy: 0.9764, prior_entropy: 3.3198, recall: 0.9764, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.1991,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set analcatdata_dmft
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5548, f_measure: 0.2176, kappa: 0.0598, kb_relative_information_score: 0.0823, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2184, predictive_accuracy: 0.2196, prior_entropy: 2.5803, recall: 0.2196, relative_absolute_error: 0.9838, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3769, root_relative_squared_error: 1.0121,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set analcatdata_authorship
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 0.9849, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7874, recall: 0.9917, relative_absolute_error: 0.0181, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0622, root_relative_squared_error: 0.1499,
Thomas Fan 4 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set isolet
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9613, kappa: 0.9597, kb_relative_information_score: 0.9664, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9615, predictive_accuracy: 0.9613, prior_entropy: 4.7004, recall: 0.9613, relative_absolute_error: 0.047, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.049, root_relative_squared_error: 0.2548,
Thomas Fan 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: 0.9881, f_measure: 0.8919, kappa: 0.8155, kb_relative_information_score: 0.7991, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8887, predictive_accuracy: 0.896, prior_entropy: 1.3181, recall: 0.896, relative_absolute_error: 0.174, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.232, root_relative_squared_error: 0.5327,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set letter
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9701, kappa: 0.9689, kb_relative_information_score: 0.9747, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9702, predictive_accuracy: 0.9701, prior_entropy: 4.6998, recall: 0.9701, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0419, root_relative_squared_error: 0.2177,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set numerai28.6
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.517, f_measure: 0.5109, kappa: 0.0255, kb_relative_information_score: 0.0044, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.513, predictive_accuracy: 0.5135, prior_entropy: 0.9999, recall: 0.5135, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.0152,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set jungle_chess_2pcs_raw_endgame_complete
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5544, f_measure: 0.481, kappa: 0.1075, kb_relative_information_score: 0.1395, mean_absolute_error: 0.3392, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.4928, predictive_accuracy: 0.4913, prior_entropy: 1.3491, recall: 0.4913, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.5824, root_relative_squared_error: 1.3305,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set Fashion-MNIST
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9017, kappa: 0.8912, kb_relative_information_score: 0.9013, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9017, predictive_accuracy: 0.9021, prior_entropy: 3.3219, recall: 0.9021, relative_absolute_error: 0.145, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.3931,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set mfeat-pixel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.975, kappa: 0.9722, kb_relative_information_score: 0.9714, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.0385, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.2162,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set segment
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9398, kappa: 0.9298, kb_relative_information_score: 0.937, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9403, predictive_accuracy: 0.9398, prior_entropy: 2.8074, recall: 0.9398, relative_absolute_error: 0.0764, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.3391,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set car
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.996, kappa: 0.9912, kb_relative_information_score: 0.9898, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.996, predictive_accuracy: 0.9959, prior_entropy: 1.2058, recall: 0.9959, relative_absolute_error: 0.0125, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0368, root_relative_squared_error: 0.1088,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set wilt
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.9738, kappa: 0.7442, kb_relative_information_score: 0.6136, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9739, predictive_accuracy: 0.9738, prior_entropy: 0.3029, recall: 0.9738, relative_absolute_error: 0.2618, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.7053,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set climate-model-simulation-crashes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.9431, kappa: 0.5954, kb_relative_information_score: 0.4942, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9471, predictive_accuracy: 0.95, prior_entropy: 0.4202, recall: 0.95, relative_absolute_error: 0.386, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.7195,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set steel-plates-fault
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.8005, kappa: 0.741, kb_relative_information_score: 0.7782, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8026, predictive_accuracy: 0.8001, prior_entropy: 2.4107, recall: 0.8001, relative_absolute_error: 0.2703, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.6192,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set MiceProtein
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 0.9858, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 2.993, recall: 0.9889, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0459, root_relative_squared_error: 0.1388,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set connect-4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.7682, kappa: 0.5357, kb_relative_information_score: 0.4745, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.763, predictive_accuracy: 0.7748, prior_entropy: 1.2184, recall: 0.7748, relative_absolute_error: 0.5305, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.8566,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set texture
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.986, kappa: 0.9846, kb_relative_information_score: 0.9861, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.986, predictive_accuracy: 0.986, prior_entropy: 3.4594, recall: 0.986, relative_absolute_error: 0.0187, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0454, root_relative_squared_error: 0.1579,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set dresses-sales
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5192, f_measure: 0.5405, kappa: 0.0513, kb_relative_information_score: 0.0249, mean_absolute_error: 0.4736, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5381, predictive_accuracy: 0.546, prior_entropy: 0.9815, recall: 0.546, relative_absolute_error: 0.9719, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5781, root_relative_squared_error: 1.1713,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set har
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9931, kappa: 0.9917, kb_relative_information_score: 0.9915, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 2.5759, recall: 0.9931, relative_absolute_error: 0.0113, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0437, root_relative_squared_error: 0.1173,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set GesturePhaseSegmentationProcessed
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.6639, kappa: 0.5644, kb_relative_information_score: 0.5194, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6705, predictive_accuracy: 0.6724, prior_entropy: 2.1934, recall: 0.6724, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.7616,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set bank-marketing
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7581, f_measure: 0.8853, kappa: 0.4268, kb_relative_information_score: 0.2211, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8823, predictive_accuracy: 0.8892, prior_entropy: 0.5206, recall: 0.8892, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.9632,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set cylinder-bands
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.8129, kappa: 0.6145, kb_relative_information_score: 0.6157, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.815, predictive_accuracy: 0.8148, prior_entropy: 0.9825, recall: 0.8148, relative_absolute_error: 0.3821, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.398, root_relative_squared_error: 0.8058,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set PhishingWebsites
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.8872, kappa: 0.7711, kb_relative_information_score: 0.7728, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9019, predictive_accuracy: 0.8895, prior_entropy: 0.9906, recall: 0.8895, relative_absolute_error: 0.2265, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6516,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6744, f_measure: 0.7349, kappa: 0.2441, kb_relative_information_score: 0.1187, mean_absolute_error: 0.2897, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7279, predictive_accuracy: 0.746, prior_entropy: 0.7916, recall: 0.746, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4498, root_relative_squared_error: 1.0562,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set banknote-authentication
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9971, kappa: 0.9941, kb_relative_information_score: 0.993, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.9911, recall: 0.9971, relative_absolute_error: 0.0072, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0507, root_relative_squared_error: 0.1021,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set first-order-theorem-proving
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6999, f_measure: 0.4713, kappa: 0.2956, kb_relative_information_score: 0.3005, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4637, predictive_accuracy: 0.4827, prior_entropy: 2.3, recall: 0.4827, relative_absolute_error: 0.7586, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3723, root_relative_squared_error: 1.0515,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set cnae-9
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9271, kappa: 0.9177, kb_relative_information_score: 0.9204, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9279, predictive_accuracy: 0.9269, prior_entropy: 3.1699, recall: 0.9269, relative_absolute_error: 0.1012, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.3506,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set ozone-level-8hr
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.9285, kappa: 0.3109, kb_relative_information_score: 0.2067, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9255, predictive_accuracy: 0.9396, prior_entropy: 0.3398, recall: 0.9396, relative_absolute_error: 0.5481, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.219, root_relative_squared_error: 0.9005,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set nomao
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9706, kappa: 0.928, kb_relative_information_score: 0.9191, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9706, predictive_accuracy: 0.9707, prior_entropy: 0.863, recall: 0.9707, relative_absolute_error: 0.0762, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3483,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set madelon
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.8384, kappa: 0.6769, kb_relative_information_score: 0.5326, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8387, predictive_accuracy: 0.8385, prior_entropy: 1, recall: 0.8385, relative_absolute_error: 0.5017, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.6843,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set ilpd
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.5943, kappa: -0.0134, kb_relative_information_score: 0.0652, mean_absolute_error: 0.3724, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5598, predictive_accuracy: 0.7015, prior_entropy: 0.8641, recall: 0.7015, relative_absolute_error: 0.9102, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.9413,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set semeion
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9373, kappa: 0.9302, kb_relative_information_score: 0.9362, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9378, predictive_accuracy: 0.9372, prior_entropy: 3.3218, recall: 0.9372, relative_absolute_error: 0.081, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set wall-robot-navigation
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9969, kappa: 0.9953, kb_relative_information_score: 0.9952, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 1.7146, recall: 0.9969, relative_absolute_error: 0.0051, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0374, root_relative_squared_error: 0.092,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set qsar-biodeg
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.8649, kappa: 0.6969, kb_relative_information_score: 0.6869, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8646, predictive_accuracy: 0.8654, prior_entropy: 0.9223, recall: 0.8654, relative_absolute_error: 0.3003, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.7188,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set phoneme
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.8953, kappa: 0.7474, kb_relative_information_score: 0.7181, mean_absolute_error: 0.1102, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8953, predictive_accuracy: 0.8953, prior_entropy: 0.8732, recall: 0.8953, relative_absolute_error: 0.2656, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.6597,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set wdbc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9701, kappa: 0.936, kb_relative_information_score: 0.9255, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.9526, recall: 0.9701, relative_absolute_error: 0.074, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.3249,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set Bioresponse
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.8018, kappa: 0.6002, kb_relative_information_score: 0.4846, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.802, predictive_accuracy: 0.8022, prior_entropy: 0.9948, recall: 0.8022, relative_absolute_error: 0.5413, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7591,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set adult
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.8524, kappa: 0.5879, kb_relative_information_score: 0.4831, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8509, predictive_accuracy: 0.855, prior_entropy: 0.7938, recall: 0.855, relative_absolute_error: 0.476, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.7543,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set pc1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.9053, kappa: 0.1448, kb_relative_information_score: -0.0558, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8962, predictive_accuracy: 0.9234, prior_entropy: 0.3638, recall: 0.9234, relative_absolute_error: 0.746, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.9613,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set kc1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.8392, kappa: 0.3203, kb_relative_information_score: 0.1157, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8392, predictive_accuracy: 0.8615, prior_entropy: 0.6212, recall: 0.8615, relative_absolute_error: 0.7492, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.902,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7014, f_measure: 0.8134, kappa: 0.4011, kb_relative_information_score: 0.3358, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8093, predictive_accuracy: 0.8238, prior_entropy: 0.7318, recall: 0.8238, relative_absolute_error: 0.5822, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.9855,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set jm1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7471, f_measure: 0.7745, kappa: 0.2003, kb_relative_information_score: 0.0725, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7829, predictive_accuracy: 0.8163, prior_entropy: 0.7087, recall: 0.8163, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9297,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set pc3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, kb_relative_information_score: -0.1025, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.8971, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.9313,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set pc4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.9116, kappa: 0.5701, kb_relative_information_score: 0.4408, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9097, predictive_accuracy: 0.9156, prior_entropy: 0.5353, recall: 0.9156, relative_absolute_error: 0.4554, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.7529,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set mnist_784
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9771, kappa: 0.9745, kb_relative_information_score: 0.9747, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9771, predictive_accuracy: 0.9771, prior_entropy: 3.3198, recall: 0.9771, relative_absolute_error: 0.0368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0589, root_relative_squared_error: 0.1964,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set analcatdata_dmft
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5423, f_measure: 0.2067, kappa: 0.0462, kb_relative_information_score: 0.1219, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2068, predictive_accuracy: 0.207, prior_entropy: 2.5803, recall: 0.207, relative_absolute_error: 0.9731, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.4017, root_relative_squared_error: 1.0786,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set analcatdata_authorship
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.9212, kappa: 0.883, kb_relative_information_score: 0.8883, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9285, predictive_accuracy: 0.9203, prior_entropy: 1.7874, recall: 0.9203, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.478,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set isolet
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9583, kappa: 0.9566, kb_relative_information_score: 0.9634, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9585, predictive_accuracy: 0.9583, prior_entropy: 4.7004, recall: 0.9583, relative_absolute_error: 0.0546, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0499, root_relative_squared_error: 0.2594,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set vowel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9423, kappa: 0.9367, kb_relative_information_score: 0.9376, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.943, predictive_accuracy: 0.9424, prior_entropy: 3.4594, recall: 0.9424, relative_absolute_error: 0.0922, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0931, root_relative_squared_error: 0.324,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set sick
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.9706, kappa: 0.7397, kb_relative_information_score: 0.6391, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9702, predictive_accuracy: 0.9711, prior_entropy: 0.3324, recall: 0.9711, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.703,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set eucalyptus
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.6641, kappa: 0.5696, kb_relative_information_score: 0.6029, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6652, predictive_accuracy: 0.6644, prior_entropy: 2.2621, recall: 0.6644, relative_absolute_error: 0.4519, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.8321,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set satimage
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9202, kappa: 0.9029, kb_relative_information_score: 0.9059, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9201, predictive_accuracy: 0.9215, prior_entropy: 2.4834, recall: 0.9215, relative_absolute_error: 0.1114, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.3862,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set electricity
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.916, kappa: 0.8281, kb_relative_information_score: 0.7866, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.916, predictive_accuracy: 0.916, prior_entropy: 0.9835, recall: 0.916, relative_absolute_error: 0.2217, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.5126,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.7646, kappa: 0.6878, kb_relative_information_score: 0.716, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7644, predictive_accuracy: 0.766, prior_entropy: 1.9991, recall: 0.766, relative_absolute_error: 0.3277, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.689,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) 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: 0.9985, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.931, recall: 1, relative_absolute_error: 0.0018, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0145, root_relative_squared_error: 0.0305,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set splice
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.9181, kappa: 0.8668, kb_relative_information_score: 0.8729, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9181, predictive_accuracy: 0.9182, prior_entropy: 1.4802, recall: 0.9182, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.5158,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set spambase
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9511, kappa: 0.8975, kb_relative_information_score: 0.895, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9511, predictive_accuracy: 0.9511, prior_entropy: 0.9674, recall: 0.9511, relative_absolute_error: 0.1034, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4182,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7761, f_measure: 0.7096, kappa: 0.3583, kb_relative_information_score: 0.3487, mean_absolute_error: 0.2844, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7085, predictive_accuracy: 0.7109, prior_entropy: 0.9331, recall: 0.7109, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.0557,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set pendigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9925, kappa: 0.9916, kb_relative_information_score: 0.9922, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 3.3208, recall: 0.9924, relative_absolute_error: 0.0101, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0355, root_relative_squared_error: 0.1184,
Thomas Fan 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(4) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.744, f_measure: 0.7355, kappa: 0.3595, kb_relative_information_score: 0.3273, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7324, predictive_accuracy: 0.741, prior_entropy: 0.8813, recall: 0.741, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0293,