OpenML

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_autosklearn(1) on task Supervised Classification on data set Amazon_employee_access

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.9382, kappa: 0.3821, kb_relative_information_score: -0.5752, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.935, predictive_accuracy: 0.9442, prior_entropy: 0.319, recall: 0.9442, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.9112,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_autosklearn(1) on task Supervised Classification on data set APSFailure

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9937, kappa: 0.813, kb_relative_information_score: -1.7012, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.0355, number_of_instances: 76000, precision: 0.9937, predictive_accuracy: 0.994, prior_entropy: 0.1306, recall: 0.994, relative_absolute_error: 0.6502, root_mean_prior_squared_error: 0.1333, root_mean_squared_error: 0.079, root_relative_squared_error: 0.5925,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_autosklearn(1) on task Supervised Classification on data set bank-marketing

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.9055, kappa: 0.5677, kb_relative_information_score: 0.0829, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.9128, predictive_accuracy: 0.9006, prior_entropy: 0.5206, recall: 0.9006, relative_absolute_error: 0.6956, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.8109,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_autosklearn(1) on task Supervised Classification on data set adult

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.8668, kappa: 0.6386, kb_relative_information_score: -0.1019, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8689, predictive_accuracy: 0.8654, prior_entropy: 0.7938, recall: 0.8654, relative_absolute_error: 0.9542, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.9192,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_autosklearn(1) on task Supervised Classification on data set connect-4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.8347, kappa: 0.6772, kb_relative_information_score: 0.575, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.8317, predictive_accuracy: 0.8486, prior_entropy: 1.2184, recall: 0.8486, relative_absolute_error: 0.4534, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.2667, root_relative_squared_error: 0.6553,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_autosklearn(1) on task Supervised Classification on data set Fashion-MNIST

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.8807, kappa: 0.8689, kb_relative_information_score: 0.8495, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8811, predictive_accuracy: 0.882, prior_entropy: 3.3219, recall: 0.882, relative_absolute_error: 0.2504, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.134, root_relative_squared_error: 0.4465,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_autosklearn(1) on task Supervised Classification on data set higgs

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.729, kappa: 0.4564, kb_relative_information_score: 0.3055, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7291, predictive_accuracy: 0.729, prior_entropy: 0.9976, recall: 0.729, relative_absolute_error: 0.7228, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4217, root_relative_squared_error: 0.8448,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_autosklearn(1) on task Supervised Classification on data set MiniBooNE

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9467, kappa: 0.8686, kb_relative_information_score: 0.8103, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.4037, number_of_instances: 130064, precision: 0.947, predictive_accuracy: 0.9465, prior_entropy: 0.8563, recall: 0.9465, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.4493, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.4453,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_autosklearn(1) on task Supervised Classification on data set nomao

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9728, kappa: 0.9333, kb_relative_information_score: 0.1829, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9728, predictive_accuracy: 0.9729, prior_entropy: 0.863, recall: 0.9729, relative_absolute_error: 0.7764, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.8001,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_autosklearn(1) on task Supervised Classification on data set riccardo

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9961, kappa: 0.9895, kb_relative_information_score: 0.5939, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.375, number_of_instances: 20000, precision: 0.9961, predictive_accuracy: 0.9961, prior_entropy: 0.8113, recall: 0.9961, relative_absolute_error: 0.505, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4981,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_autosklearn(1) on task Supervised Classification on data set shuttle

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9996, kb_relative_information_score: 0.9995, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.1016, number_of_instances: 58000, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9603, recall: 0.9998, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.2254, root_mean_squared_error: 0.0055, root_relative_squared_error: 0.0244,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_h2oautoml(1) on task Supervised Classification on data set adult

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.87, kappa: 0.6331, kb_relative_information_score: 0.5051, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8698, predictive_accuracy: 0.8743, prior_entropy: 0.7938, recall: 0.8743, relative_absolute_error: 0.4831, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.6999,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_h2oautoml(1) on task Supervised Classification on data set APSFailure

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9946, kappa: 0.844, kb_relative_information_score: 0.5146, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.0355, number_of_instances: 76000, precision: 0.9946, predictive_accuracy: 0.9948, prior_entropy: 0.1306, recall: 0.9948, relative_absolute_error: 0.2332, root_mean_prior_squared_error: 0.1333, root_mean_squared_error: 0.0646, root_relative_squared_error: 0.4845,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_h2oautoml(1) on task Supervised Classification on data set connect-4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.859, kappa: 0.7257, kb_relative_information_score: 0.6404, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.8572, predictive_accuracy: 0.8702, prior_entropy: 1.2184, recall: 0.8702, relative_absolute_error: 0.3866, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.605,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_autosklearn(1) on task Supervised Classification on data set KDDCup09_appetency

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7043, f_measure: 0.9661, kappa: 0.0495, kb_relative_information_score: -10.463, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.035, number_of_instances: 50000, precision: 0.9668, predictive_accuracy: 0.9655, prior_entropy: 0.1289, recall: 0.9655, relative_absolute_error: 3.0355, root_mean_prior_squared_error: 0.1322, root_mean_squared_error: 0.1996, root_relative_squared_error: 1.5094,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_autosklearn(1) on task Supervised Classification on data set numerai28.6

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5227, f_measure: 0.4985, kappa: 0.0337, kb_relative_information_score: 0.0022, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.52, predictive_accuracy: 0.5189, prior_entropy: 0.9999, recall: 0.5189, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9994,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_autosklearn(1) on task Supervised Classification on data set jungle_chess_2pcs_raw_endgame_complete

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.8974, kappa: 0.8215, kb_relative_information_score: 0.7819, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8974, predictive_accuracy: 0.8973, prior_entropy: 1.3491, recall: 0.8973, relative_absolute_error: 0.2582, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.4848,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_autosklearn(1) on task Supervised Classification on data set guillermo

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.84, kappa: 0.6637, kb_relative_information_score: 0.5027, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.4801, number_of_instances: 20000, precision: 0.8451, predictive_accuracy: 0.843, prior_entropy: 0.971, recall: 0.843, relative_absolute_error: 0.5285, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.7027,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_autosklearn(1) on task Supervised Classification on data set jannis

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.7171, kappa: 0.5594, kb_relative_information_score: 0.4621, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.3194, number_of_instances: 83733, precision: 0.7201, predictive_accuracy: 0.7222, prior_entropy: 1.5995, recall: 0.7222, relative_absolute_error: 0.6205, root_mean_prior_squared_error: 0.3996, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.7748,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_autosklearn(1) on task Supervised Classification on data set robert

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0042, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 10000, predictive_accuracy: 0.0991, prior_entropy: 3.3214, recall: 0.0991, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_autosklearn(1) on task Supervised Classification on data set volkert

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.6782, kappa: 0.6273, kb_relative_information_score: 0.5738, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.1703, number_of_instances: 58310, precision: 0.6868, predictive_accuracy: 0.6871, prior_entropy: 2.9613, recall: 0.6871, relative_absolute_error: 0.571, root_mean_prior_squared_error: 0.2918, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.7187,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_h2oautoml(1) on task Supervised Classification on data set Fashion-MNIST

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9081, kappa: 0.8986, kb_relative_information_score: 0.9069, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9082, predictive_accuracy: 0.9087, prior_entropy: 3.3219, recall: 0.9087, relative_absolute_error: 0.1368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.3808,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_autosklearn(1) on task Supervised Classification on data set helena

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7653, f_measure: 0.1865, kappa: 0.1987, kb_relative_information_score: 0.1831, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.0195, number_of_instances: 65196, precision: 0.1955, predictive_accuracy: 0.2242, prior_entropy: 5.9777, recall: 0.2242, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.0989, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.9697,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_h2oautoml(1) on task Supervised Classification on data set Amazon_employee_access

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.9463, kappa: 0.4486, kb_relative_information_score: 0.1932, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9455, predictive_accuracy: 0.9532, prior_entropy: 0.319, recall: 0.9532, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.8297,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_h2oautoml(1) on task Supervised Classification on data set bank-marketing

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.9013, kappa: 0.4919, kb_relative_information_score: 0.283, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8987, predictive_accuracy: 0.9081, prior_entropy: 0.5206, recall: 0.9081, relative_absolute_error: 0.5995, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.25, root_relative_squared_error: 0.7778,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_h2oautoml(1) on task Supervised Classification on data set guillermo

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.8436, kappa: 0.6714, kb_relative_information_score: 0.553, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.4801, number_of_instances: 20000, precision: 0.8476, predictive_accuracy: 0.8462, prior_entropy: 0.971, recall: 0.8462, relative_absolute_error: 0.4736, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.6862,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_randomforest(1) on task Supervised Classification on data set Amazon_employee_access

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.9428, kappa: 0.4263, kb_relative_information_score: -0.1006, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9404, predictive_accuracy: 0.9485, prior_entropy: 0.319, recall: 0.9485, relative_absolute_error: 0.7026, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.8632,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_randomforest(1) on task Supervised Classification on data set bank-marketing

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.8976, kappa: 0.4676, kb_relative_information_score: 0.2043, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8952, predictive_accuracy: 0.9062, prior_entropy: 0.5206, recall: 0.9062, relative_absolute_error: 0.6326, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.252, root_relative_squared_error: 0.784,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_randomforest(1) on task Supervised Classification on data set guillermo

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.8117, kappa: 0.6047, kb_relative_information_score: 0.3848, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.4801, number_of_instances: 20000, precision: 0.8411, predictive_accuracy: 0.8213, prior_entropy: 0.971, recall: 0.8213, relative_absolute_error: 0.6569, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.7497,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_randomforest(1) on task Supervised Classification on data set helena

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.3365, kappa: 0.3543, kb_relative_information_score: 0.3915, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0195, number_of_instances: 65196, precision: 0.371, predictive_accuracy: 0.3741, prior_entropy: 5.9777, recall: 0.3741, relative_absolute_error: 0.825, root_mean_prior_squared_error: 0.0989, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.8919,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_randomforest(1) on task Supervised Classification on data set higgs

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.7236, kappa: 0.4451, kb_relative_information_score: 0.2421, mean_absolute_error: 0.3931, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7235, predictive_accuracy: 0.7238, prior_entropy: 0.9976, recall: 0.7238, relative_absolute_error: 0.7888, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.8609,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_randomforest(1) on task Supervised Classification on data set jannis

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, kappa: 0.5376, kb_relative_information_score: 0.3939, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.3194, number_of_instances: 83733, predictive_accuracy: 0.7113, prior_entropy: 1.5995, recall: 0.7113, relative_absolute_error: 0.6919, root_mean_prior_squared_error: 0.3996, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.798,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_randomforest(1) on task Supervised Classification on data set jungle_chess_2pcs_raw_endgame_complete

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.7832, kappa: 0.623, kb_relative_information_score: 0.6169, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7826, predictive_accuracy: 0.7838, prior_entropy: 1.3491, recall: 0.7838, relative_absolute_error: 0.4173, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.7064,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_randomforest(1) on task Supervised Classification on data set KDDCup09_appetency

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7878, kb_relative_information_score: -2.6728, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.035, number_of_instances: 50000, predictive_accuracy: 0.9822, prior_entropy: 0.1289, recall: 0.9822, relative_absolute_error: 1.0543, root_mean_prior_squared_error: 0.1322, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.9849,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_randomforest(1) on task Supervised Classification on data set nomao

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9696, kappa: 0.9255, kb_relative_information_score: 0.8647, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9696, predictive_accuracy: 0.9697, prior_entropy: 0.863, recall: 0.9697, relative_absolute_error: 0.1455, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.154, root_relative_squared_error: 0.341,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_randomforest(1) on task Supervised Classification on data set numerai28.6

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5197, f_measure: 0.5122, kappa: 0.0256, kb_relative_information_score: 0.0048, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.513, predictive_accuracy: 0.5133, prior_entropy: 0.9999, recall: 0.5133, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0016,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_randomforest(1) on task Supervised Classification on data set shuttle

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9999, kappa: 0.9997, kb_relative_information_score: 0.9988, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.1016, number_of_instances: 58000, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9603, recall: 0.9999, relative_absolute_error: 0.0017, root_mean_prior_squared_error: 0.2254, root_mean_squared_error: 0.0067, root_relative_squared_error: 0.0297,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_randomforest(1) on task Supervised Classification on data set volkert

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.6652, kappa: 0.6148, kb_relative_information_score: 0.5388, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.1703, number_of_instances: 58310, precision: 0.6854, predictive_accuracy: 0.6779, prior_entropy: 2.9613, recall: 0.6779, relative_absolute_error: 0.6146, root_mean_prior_squared_error: 0.2918, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.7373,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_tunedrandomforest(1) on task Supervised Classification on data set Amazon_employee_access

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.9431, kappa: 0.4279, kb_relative_information_score: -0.1138, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9407, predictive_accuracy: 0.9489, prior_entropy: 0.319, recall: 0.9489, relative_absolute_error: 0.7072, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.8643,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_tunedrandomforest(1) on task Supervised Classification on data set APSFailure

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9929, kappa: 0.7881, kb_relative_information_score: 0.0292, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0355, number_of_instances: 76000, precision: 0.993, predictive_accuracy: 0.9934, prior_entropy: 0.1306, recall: 0.9934, relative_absolute_error: 0.3923, root_mean_prior_squared_error: 0.1333, root_mean_squared_error: 0.074, root_relative_squared_error: 0.555,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_tunedrandomforest(1) on task Supervised Classification on data set connect-4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.7986, kappa: 0.6056, kb_relative_information_score: 0.4603, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7973, predictive_accuracy: 0.8212, prior_entropy: 1.2184, recall: 0.8212, relative_absolute_error: 0.5844, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.7228,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_tunedrandomforest(1) on task Supervised Classification on data set helena

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.3246, kappa: 0.3452, kb_relative_information_score: 0.3735, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0195, number_of_instances: 65196, precision: 0.3708, predictive_accuracy: 0.3659, prior_entropy: 5.9777, recall: 0.3659, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.0989, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.8993,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_tunedrandomforest(1) on task Supervised Classification on data set riccardo

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9819, kappa: 0.9512, kb_relative_information_score: 0.6954, mean_absolute_error: 0.1416, mean_prior_absolute_error: 0.375, number_of_instances: 20000, precision: 0.9824, predictive_accuracy: 0.9821, prior_entropy: 0.8113, recall: 0.9821, relative_absolute_error: 0.3775, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.4381,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_randomforest(1) on task Supervised Classification on data set connect-4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.7911, kappa: 0.5915, kb_relative_information_score: 0.4303, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7974, predictive_accuracy: 0.8193, prior_entropy: 1.2184, recall: 0.8193, relative_absolute_error: 0.6228, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.7329,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_tunedrandomforest(1) on task Supervised Classification on data set higgs

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.7253, kappa: 0.4487, kb_relative_information_score: 0.2574, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7252, predictive_accuracy: 0.7254, prior_entropy: 0.9976, recall: 0.7254, relative_absolute_error: 0.7725, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8569,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_tunedrandomforest(1) on task Supervised Classification on data set jannis

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.7077, kappa: 0.5444, kb_relative_information_score: 0.4147, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.3194, number_of_instances: 83733, precision: 0.7242, predictive_accuracy: 0.7147, prior_entropy: 1.5995, recall: 0.7147, relative_absolute_error: 0.6685, root_mean_prior_squared_error: 0.3996, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.7912,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_tunedrandomforest(1) on task Supervised Classification on data set nomao

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9699, kappa: 0.9259, kb_relative_information_score: 0.8545, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9699, predictive_accuracy: 0.97, prior_entropy: 0.863, recall: 0.97, relative_absolute_error: 0.1592, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.3449,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_tunedrandomforest(1) on task Supervised Classification on data set MiniBooNE

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9396, kappa: 0.8503, kb_relative_information_score: 0.7287, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.4037, number_of_instances: 130064, precision: 0.9396, predictive_accuracy: 0.9397, prior_entropy: 0.8563, recall: 0.9397, relative_absolute_error: 0.287, root_mean_prior_squared_error: 0.4493, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.4849,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_randomforest(1) on task Supervised Classification on data set adult

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.8536, kappa: 0.5878, kb_relative_information_score: 0.4488, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8524, predictive_accuracy: 0.8579, prior_entropy: 0.7938, recall: 0.8579, relative_absolute_error: 0.5215, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.7362,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_randomforest(1) on task Supervised Classification on data set APSFailure

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9941, kappa: 0.8268, kb_relative_information_score: 0.1299, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0355, number_of_instances: 76000, precision: 0.9941, predictive_accuracy: 0.9944, prior_entropy: 0.1306, recall: 0.9944, relative_absolute_error: 0.3465, root_mean_prior_squared_error: 0.1333, root_mean_squared_error: 0.0697, root_relative_squared_error: 0.5227,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_randomforest(1) on task Supervised Classification on data set Fashion-MNIST

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.8856, kappa: 0.8746, kb_relative_information_score: 0.8467, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8861, predictive_accuracy: 0.8871, prior_entropy: 3.3219, recall: 0.8871, relative_absolute_error: 0.2577, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1343, root_relative_squared_error: 0.4477,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_randomforest(1) on task Supervised Classification on data set MiniBooNE

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9377, kappa: 0.8454, kb_relative_information_score: 0.7149, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4037, number_of_instances: 130064, precision: 0.9376, predictive_accuracy: 0.9378, prior_entropy: 0.8563, recall: 0.9378, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.4493, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.4926,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_randomforest(1) on task Supervised Classification on data set riccardo

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9607, kappa: 0.8928, kb_relative_information_score: 0.6696, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.375, number_of_instances: 20000, precision: 0.9633, predictive_accuracy: 0.9618, prior_entropy: 0.8113, recall: 0.9618, relative_absolute_error: 0.3917, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.4717,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_randomforest(1) on task Supervised Classification on data set robert

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.4764, kappa: 0.4223, kb_relative_information_score: 0.2847, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.4798, predictive_accuracy: 0.4801, prior_entropy: 3.3214, recall: 0.4801, relative_absolute_error: 0.8686, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2704, root_relative_squared_error: 0.9012,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_tunedrandomforest(1) on task Supervised Classification on data set adult

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8541, kappa: 0.589, kb_relative_information_score: 0.4488, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8529, predictive_accuracy: 0.8583, prior_entropy: 0.7938, recall: 0.8583, relative_absolute_error: 0.5215, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.7363,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_tunedrandomforest(1) on task Supervised Classification on data set bank-marketing

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8981, kappa: 0.4724, kb_relative_information_score: 0.2071, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8954, predictive_accuracy: 0.906, prior_entropy: 0.5206, recall: 0.906, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.7834,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_tunedrandomforest(1) on task Supervised Classification on data set Fashion-MNIST

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.8869, kappa: 0.8757, kb_relative_information_score: 0.8538, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8872, predictive_accuracy: 0.8881, prior_entropy: 3.3219, recall: 0.8881, relative_absolute_error: 0.2425, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1324, root_relative_squared_error: 0.4414,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_tunedrandomforest(1) on task Supervised Classification on data set guillermo

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8111, kappa: 0.6035, kb_relative_information_score: 0.3847, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.4801, number_of_instances: 20000, precision: 0.8407, predictive_accuracy: 0.8208, prior_entropy: 0.971, recall: 0.8208, relative_absolute_error: 0.657, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.7497,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_tunedrandomforest(1) on task Supervised Classification on data set jungle_chess_2pcs_raw_endgame_complete

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.7994, kappa: 0.6511, kb_relative_information_score: 0.6682, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7995, predictive_accuracy: 0.7993, prior_entropy: 1.3491, recall: 0.7993, relative_absolute_error: 0.3527, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.6835,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_tunedrandomforest(1) on task Supervised Classification on data set KDDCup09_appetency

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7833, kb_relative_information_score: -2.6587, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.035, number_of_instances: 50000, predictive_accuracy: 0.9822, prior_entropy: 0.1289, recall: 0.9822, relative_absolute_error: 1.0536, root_mean_prior_squared_error: 0.1322, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.9853,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_tunedrandomforest(1) on task Supervised Classification on data set numerai28.6

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5197, f_measure: 0.5126, kappa: 0.0271, kb_relative_information_score: 0.0044, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5137, predictive_accuracy: 0.5141, prior_entropy: 0.9999, recall: 0.5141, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_tunedrandomforest(1) on task Supervised Classification on data set shuttle

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9999, kappa: 0.9997, kb_relative_information_score: 0.999, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.1016, number_of_instances: 58000, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9603, recall: 0.9999, relative_absolute_error: 0.0012, root_mean_prior_squared_error: 0.2254, root_mean_squared_error: 0.0062, root_relative_squared_error: 0.0276,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_tunedrandomforest(1) on task Supervised Classification on data set robert

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.474, kappa: 0.4198, kb_relative_information_score: 0.2849, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.4776, predictive_accuracy: 0.4778, prior_entropy: 3.3214, recall: 0.4778, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2703, root_relative_squared_error: 0.9011,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_tunedrandomforest(1) on task Supervised Classification on data set volkert

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.6824, kappa: 0.6328, kb_relative_information_score: 0.5663, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1703, number_of_instances: 58310, precision: 0.6971, predictive_accuracy: 0.6922, prior_entropy: 2.9613, recall: 0.6922, relative_absolute_error: 0.5827, root_mean_prior_squared_error: 0.2918, root_mean_squared_error: 0.21, root_relative_squared_error: 0.7196,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_autosklearn(1) on task Supervised Classification on data set APSFailure

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9937, kappa: 0.813, kb_relative_information_score: -1.7012, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.0355, number_of_instances: 76000, precision: 0.9937, predictive_accuracy: 0.994, prior_entropy: 0.1306, recall: 0.994, relative_absolute_error: 0.6502, root_mean_prior_squared_error: 0.1333, root_mean_squared_error: 0.079, root_relative_squared_error: 0.5925,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_autosklearn(1) on task Supervised Classification on data set Fashion-MNIST

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.8807, kappa: 0.8689, kb_relative_information_score: 0.8495, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8811, predictive_accuracy: 0.882, prior_entropy: 3.3219, recall: 0.882, relative_absolute_error: 0.2504, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.134, root_relative_squared_error: 0.4465,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_tpot(1) on task Supervised Classification on data set volkert

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.6538, kappa: 0.6024, kb_relative_information_score: 0.5409, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.1703, number_of_instances: 58310, precision: 0.6731, predictive_accuracy: 0.6677, prior_entropy: 2.9613, recall: 0.6677, relative_absolute_error: 0.6074, root_mean_prior_squared_error: 0.2918, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.7387,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_autoweka(1) on task Supervised Classification on data set numerai28.6

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5265, f_measure: 0.5137, kappa: 0.0357, kb_relative_information_score: 0.0043, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5186, predictive_accuracy: 0.5189, prior_entropy: 0.9999, recall: 0.5189, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_h2oautoml(1) on task Supervised Classification on data set nomao

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9729, kappa: 0.9336, kb_relative_information_score: 0.9082, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9729, predictive_accuracy: 0.973, prior_entropy: 0.863, recall: 0.973, relative_absolute_error: 0.0929, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.3156,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_h2oautoml(1) on task Supervised Classification on data set robert

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.5294, kappa: 0.4799, kb_relative_information_score: 0.4633, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.5288, predictive_accuracy: 0.5319, prior_entropy: 3.3214, recall: 0.5319, relative_absolute_error: 0.6907, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.8228,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_h2oautoml(1) on task Supervised Classification on data set volkert

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.7088, kappa: 0.6611, kb_relative_information_score: 0.6492, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.1703, number_of_instances: 58310, precision: 0.7159, predictive_accuracy: 0.7149, prior_entropy: 2.9613, recall: 0.7149, relative_absolute_error: 0.46, root_mean_prior_squared_error: 0.2918, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.6768,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_tpot(1) on task Supervised Classification on data set higgs

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.7264, kappa: 0.4507, kb_relative_information_score: 0.2966, mean_absolute_error: 0.3644, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7263, predictive_accuracy: 0.7265, prior_entropy: 0.9976, recall: 0.7265, relative_absolute_error: 0.7312, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.8499,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_tpot(1) on task Supervised Classification on data set nomao

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9721, kappa: 0.9314, kb_relative_information_score: 0.9001, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.972, predictive_accuracy: 0.9721, prior_entropy: 0.863, recall: 0.9721, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.3226,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_autoweka(1) on task Supervised Classification on data set Amazon_employee_access

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.9315, kappa: 0.2788, kb_relative_information_score: -0.1126, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9279, predictive_accuracy: 0.9427, prior_entropy: 0.319, recall: 0.9427, relative_absolute_error: 0.7216, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.9268,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_autoweka(1) on task Supervised Classification on data set bank-marketing

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.8934, kappa: 0.4548, kb_relative_information_score: 0.1997, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8899, predictive_accuracy: 0.8999, prior_entropy: 0.5206, recall: 0.8999, relative_absolute_error: 0.6176, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.8154,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_autoweka(1) on task Supervised Classification on data set guillermo

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.8188, kappa: 0.62, kb_relative_information_score: 0.5193, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4801, number_of_instances: 20000, precision: 0.8199, predictive_accuracy: 0.8207, prior_entropy: 0.971, recall: 0.8207, relative_absolute_error: 0.4964, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.7567,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_autoweka(1) on task Supervised Classification on data set jungle_chess_2pcs_raw_endgame_complete

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.7501, kappa: 0.5681, kb_relative_information_score: 0.5802, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7462, predictive_accuracy: 0.7545, prior_entropy: 1.3491, recall: 0.7545, relative_absolute_error: 0.4228, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.7706,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_autoweka(1) on task Supervised Classification on data set KDDCup09_appetency

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.9733, kappa: 0.0018, kb_relative_information_score: -2.0958, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.035, number_of_instances: 50000, precision: 0.9664, predictive_accuracy: 0.982, prior_entropy: 0.1289, recall: 0.982, relative_absolute_error: 0.9801, root_mean_prior_squared_error: 0.1322, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.9865,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_autoweka(1) on task Supervised Classification on data set nomao

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9507, kappa: 0.8788, kb_relative_information_score: 0.8368, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9506, predictive_accuracy: 0.9508, prior_entropy: 0.863, recall: 0.9508, relative_absolute_error: 0.1608, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4393,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_autoweka(1) on task Supervised Classification on data set shuttle

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9986, kappa: 0.9965, kb_relative_information_score: 0.9908, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.1016, number_of_instances: 58000, precision: 0.9987, predictive_accuracy: 0.9987, prior_entropy: 0.9603, recall: 0.9987, relative_absolute_error: 0.0054, root_mean_prior_squared_error: 0.2254, root_mean_squared_error: 0.0185, root_relative_squared_error: 0.0823,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_autoweka(1) on task Supervised Classification on data set volkert

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.6581, kappa: 0.6018, kb_relative_information_score: 0.6138, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.1703, number_of_instances: 58310, precision: 0.657, predictive_accuracy: 0.663, prior_entropy: 2.9613, recall: 0.663, relative_absolute_error: 0.4345, root_mean_prior_squared_error: 0.2918, root_mean_squared_error: 0.2459, root_relative_squared_error: 0.8429,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_autosklearn(1) on task Supervised Classification on data set adult

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.8668, kappa: 0.6386, kb_relative_information_score: -0.1019, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8689, predictive_accuracy: 0.8654, prior_entropy: 0.7938, recall: 0.8654, relative_absolute_error: 0.9542, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.9192,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_h2oautoml(1) on task Supervised Classification on data set jannis

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.7141, kappa: 0.557, kb_relative_information_score: 0.477, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.3194, number_of_instances: 83733, precision: 0.7132, predictive_accuracy: 0.7213, prior_entropy: 1.5995, recall: 0.7213, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.3996, root_mean_squared_error: 0.31, root_relative_squared_error: 0.7757,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_h2oautoml(1) on task Supervised Classification on data set MiniBooNE

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9481, kappa: 0.8717, kb_relative_information_score: 0.8157, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.4037, number_of_instances: 130064, precision: 0.9482, predictive_accuracy: 0.948, prior_entropy: 0.8563, recall: 0.948, relative_absolute_error: 0.1869, root_mean_prior_squared_error: 0.4493, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4374,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_h2oautoml(1) on task Supervised Classification on data set numerai28.6

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.527, f_measure: 0.5163, kappa: 0.0325, kb_relative_information_score: 0.0042, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5163, predictive_accuracy: 0.5163, prior_entropy: 0.9999, recall: 0.5163, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.999,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_h2oautoml(1) on task Supervised Classification on data set riccardo

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.998, kappa: 0.9945, kb_relative_information_score: 0.9899, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.375, number_of_instances: 20000, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.8113, recall: 0.998, relative_absolute_error: 0.0112, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.0427, root_relative_squared_error: 0.0986,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_h2oautoml(1) on task Supervised Classification on data set shuttle

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9999, kappa: 0.9997, kb_relative_information_score: 0.9995, mean_absolute_error: 0, mean_prior_absolute_error: 0.1016, number_of_instances: 58000, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9603, recall: 0.9999, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.2254, root_mean_squared_error: 0.0051, root_relative_squared_error: 0.0225,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_tpot(1) on task Supervised Classification on data set adult

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.8705, kappa: 0.6348, kb_relative_information_score: 0.4982, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8702, predictive_accuracy: 0.8746, prior_entropy: 0.7938, recall: 0.8746, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.693,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_tpot(1) on task Supervised Classification on data set APSFailure

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9929, kappa: 0.7882, kb_relative_information_score: 0.2929, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0355, number_of_instances: 76000, precision: 0.9929, predictive_accuracy: 0.9933, prior_entropy: 0.1306, recall: 0.9933, relative_absolute_error: 0.3368, root_mean_prior_squared_error: 0.1333, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.5481,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_tpot(1) on task Supervised Classification on data set bank-marketing

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.9025, kappa: 0.501, kb_relative_information_score: 0.2717, mean_absolute_error: 0.1219, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8998, predictive_accuracy: 0.9085, prior_entropy: 0.5206, recall: 0.9085, relative_absolute_error: 0.5898, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.7774,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_tpot(1) on task Supervised Classification on data set helena

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, kappa: 0.311, kb_relative_information_score: 0.3501, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0195, number_of_instances: 65196, predictive_accuracy: 0.3341, prior_entropy: 5.9777, recall: 0.3341, relative_absolute_error: 0.8579, root_mean_prior_squared_error: 0.0989, root_mean_squared_error: 0.09, root_relative_squared_error: 0.91,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_tpot(1) on task Supervised Classification on data set jannis

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.7016, kappa: 0.5354, kb_relative_information_score: 0.4174, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.3194, number_of_instances: 83733, precision: 0.7097, predictive_accuracy: 0.7088, prior_entropy: 1.5995, recall: 0.7088, relative_absolute_error: 0.6657, root_mean_prior_squared_error: 0.3996, root_mean_squared_error: 0.317, root_relative_squared_error: 0.7933,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_tpot(1) on task Supervised Classification on data set jungle_chess_2pcs_raw_endgame_complete

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9394, kappa: 0.8945, kb_relative_information_score: 0.858, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.9393, predictive_accuracy: 0.9395, prior_entropy: 1.3491, recall: 0.9395, relative_absolute_error: 0.1686, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.3942,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_tpot(1) on task Supervised Classification on data set numerai28.6

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5233, f_measure: 0.5112, kappa: 0.0376, kb_relative_information_score: 0.0149, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5202, predictive_accuracy: 0.5201, prior_entropy: 0.9999, recall: 0.5201, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5643, root_relative_squared_error: 1.1286,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_autosklearn(1) on task Supervised Classification on data set bank-marketing

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.9055, kappa: 0.5677, kb_relative_information_score: 0.0829, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.9128, predictive_accuracy: 0.9006, prior_entropy: 0.5206, recall: 0.9006, relative_absolute_error: 0.6956, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.8109,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_autosklearn(1) on task Supervised Classification on data set Amazon_employee_access

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.9382, kappa: 0.3821, kb_relative_information_score: -0.5752, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.935, predictive_accuracy: 0.9442, prior_entropy: 0.319, recall: 0.9442, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.9112,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_h2oautoml(1) on task Supervised Classification on data set jungle_chess_2pcs_raw_endgame_complete

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9339, kappa: 0.8855, kb_relative_information_score: 0.8375, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.9352, predictive_accuracy: 0.9353, prior_entropy: 1.3491, recall: 0.9353, relative_absolute_error: 0.1805, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.4122,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_tpot(1) on task Supervised Classification on data set Amazon_employee_access

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.9382, kappa: 0.3377, kb_relative_information_score: -0.1689, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9399, predictive_accuracy: 0.9499, prior_entropy: 0.319, recall: 0.9499, relative_absolute_error: 0.7453, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.8449,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_tpot(1) on task Supervised Classification on data set guillermo

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.788, kappa: 0.5541, kb_relative_information_score: 0.4208, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.4801, number_of_instances: 20000, precision: 0.7936, predictive_accuracy: 0.7929, prior_entropy: 0.971, recall: 0.7929, relative_absolute_error: 0.6022, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.7902,

Pieter Gijsbers 5 years ago
ran flow automlbenchmark_tpot(1) on task Supervised Classification on data set MiniBooNE

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9397, kappa: 0.8507, kb_relative_information_score: 0.764, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.4037, number_of_instances: 130064, precision: 0.9397, predictive_accuracy: 0.9396, prior_entropy: 0.8563, recall: 0.9396, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.4493, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.4744,

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