OpenML

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set GesturePhaseSegmentationProcessed

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.3967, kappa: 0.2619, kb_relative_information_score: 2154.5762, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4351, predictive_accuracy: 0.4635, prior_entropy: 2.1936, recall: 0.4635, relative_absolute_error: 0.8857, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.9332,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set adult

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6396, f_measure: 0.6756, kappa: 0.0443, kb_relative_information_score: 722.0173, mean_absolute_error: 0.3535, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.7039, predictive_accuracy: 0.7609, prior_entropy: 0.7939, recall: 0.7609, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.9854,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set cylinder-bands

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.778, kappa: 0.5651, kb_relative_information_score: 155.098, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8131, predictive_accuracy: 0.7778, prior_entropy: 0.9826, recall: 0.7778, relative_absolute_error: 0.7379, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8401,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set bank-marketing

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.8293, kappa: 0.0117, kb_relative_information_score: -5250.3928, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8104, predictive_accuracy: 0.8805, prior_entropy: 0.5207, recall: 0.8805, relative_absolute_error: 0.9811, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.9936,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set one-hundred-plants-margin

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2125, kappa: 0.0032, kb_relative_information_score: 0.9854, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0131, prior_entropy: 6.6439, recall: 0.0131, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0002,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set credit-approval

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4912, f_measure: 0.3949, kappa: -0.0058, kb_relative_information_score: -0.5768, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3074, predictive_accuracy: 0.5522, prior_entropy: 0.9913, recall: 0.5522, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0008,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set anneal

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, kb_relative_information_score: 3.951, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set analcatdata_dmft

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5264, f_measure: 0.1088, kappa: 0.02, kb_relative_information_score: 12.0694, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1925, predictive_accuracy: 0.207, prior_entropy: 2.5803, recall: 0.207, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.9986,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set balance-scale

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.8654, kappa: 0.7833, kb_relative_information_score: 438.9236, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8555, predictive_accuracy: 0.88, prior_entropy: 1.3212, recall: 0.88, relative_absolute_error: 0.3166, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.5315,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set kc2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.7246, kappa: 0.0657, kb_relative_information_score: 30.2672, mean_absolute_error: 0.2922, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7202, predictive_accuracy: 0.7874, prior_entropy: 0.734, recall: 0.7874, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.382, root_relative_squared_error: 0.9462,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 894.1488, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0761, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.2685,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set vehicle

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, kb_relative_information_score: 8.1717, mean_absolute_error: 0.3749, mean_prior_absolute_error: 0.3748, number_of_instances: 846, predictive_accuracy: 0.2506, prior_entropy: 1.9991, recall: 0.2506, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4332, root_relative_squared_error: 1.0006,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set soybean

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, kappa: 0.6192, kb_relative_information_score: 260.0543, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.6559, prior_entropy: 3.8572, recall: 0.6559, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.8748,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set credit-g

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, kb_relative_information_score: 0.3691, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set soybean

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9347, kappa: 0.9293, kb_relative_information_score: 582.6464, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9414, predictive_accuracy: 0.9356, prior_entropy: 3.8572, recall: 0.9356, relative_absolute_error: 0.3015, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.4037,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set eucalyptus

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4945, kb_relative_information_score: 3.9068, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2908, prior_entropy: 2.2629, recall: 0.2908, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3958, root_relative_squared_error: 1.0002,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.7904, kappa: 0.5338, kb_relative_information_score: 460.4729, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7895, predictive_accuracy: 0.7923, prior_entropy: 0.9312, recall: 0.7923, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.7729,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set dresses-sales

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5724, f_measure: 0.4527, kappa: -0.0047, kb_relative_information_score: 4.7692, mean_absolute_error: 0.4831, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5038, predictive_accuracy: 0.57, prior_entropy: 0.9816, recall: 0.57, relative_absolute_error: 0.9916, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9996,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set monks-problems-2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6479, f_measure: 0.5594, kappa: -0.0024, kb_relative_information_score: 21.327, mean_absolute_error: 0.4249, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5483, predictive_accuracy: 0.584, prior_entropy: 0.9279, recall: 0.584, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9811,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set ilpd

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2955, kb_relative_information_score: -7.8624, mean_absolute_error: 0.405, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0518,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set vowel

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, kappa: 0.3256, kb_relative_information_score: 256.784, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.3869, prior_entropy: 3.4594, recall: 0.3869, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.9268,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set irish

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set collins

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9564, kappa: 0.9538, kb_relative_information_score: 400.2104, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.1212, number_of_instances: 500, precision: 0.9606, predictive_accuracy: 0.958, prior_entropy: 3.6642, recall: 0.958, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.246, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.4398,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set LED-display-domain-7digit

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.6998, kappa: 0.6662, kb_relative_information_score: 296.0352, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7041, predictive_accuracy: 0.7, prior_entropy: 3.3127, recall: 0.7, relative_absolute_error: 0.5582, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.7107,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set anneal

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.8278, kappa: 0.5281, kb_relative_information_score: 383.4477, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8408, predictive_accuracy: 0.8441, prior_entropy: 1.2149, recall: 0.8441, relative_absolute_error: 0.6296, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.7959,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set collins

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.5391, kappa: 0.5148, kb_relative_information_score: 178.691, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.1212, number_of_instances: 500, precision: 0.553, predictive_accuracy: 0.562, prior_entropy: 3.6642, recall: 0.562, relative_absolute_error: 0.8583, root_mean_prior_squared_error: 0.246, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.881,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set monks-problems-1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 551.429, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0113, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0078, root_relative_squared_error: 0.0156,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set mnist_784

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 4.6935, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, predictive_accuracy: 0.1125, prior_entropy: 3.3198, recall: 0.1125, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set credit-g

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4889, kb_relative_information_score: -3.4237, mean_absolute_error: 0.4201, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4587, root_relative_squared_error: 1.001,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set micro-mass

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4828, kappa: 0.0023, kb_relative_information_score: 3.5884, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1068, prior_entropy: 4.208, recall: 0.1068, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set monks-problems-2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5251, kb_relative_information_score: -4.5128, mean_absolute_error: 0.4517, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4745, root_relative_squared_error: 0.9997,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.8599, kappa: 0.6869, kb_relative_information_score: 601.7321, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.861, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.3783, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3049, root_relative_squared_error: 0.6406,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set ilpd

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4908, kb_relative_information_score: 0.2785, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set dresses-sales

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6098, f_measure: 0.5776, kappa: 0.1519, kb_relative_information_score: 23.8853, mean_absolute_error: 0.4679, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6129, predictive_accuracy: 0.618, prior_entropy: 0.9816, recall: 0.618, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9805,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set credit-approval

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4925, f_measure: 0.3943, kappa: -0.0087, kb_relative_information_score: -2.7456, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.307, predictive_accuracy: 0.5507, prior_entropy: 0.9913, recall: 0.5507, relative_absolute_error: 1.0036, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4994, root_relative_squared_error: 1.0049,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set monks-problems-3

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7038, f_measure: 0.5181, kappa: 0.0375, kb_relative_information_score: 53.4385, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.5196, predictive_accuracy: 0.5181, prior_entropy: 0.9989, recall: 0.5181, relative_absolute_error: 0.9151, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4836, root_relative_squared_error: 0.9679,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set monks-problems-1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4145, f_measure: 0.4537, kappa: 0.0072, kb_relative_information_score: -0.3009, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5057, predictive_accuracy: 0.5036, prior_entropy: 1, recall: 0.5036, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.0031,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set LED-display-domain-7digit

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, kappa: 0.4974, kb_relative_information_score: 141.6713, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.546, prior_entropy: 3.3127, recall: 0.546, relative_absolute_error: 0.8633, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.9076,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set breast-w

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, kb_relative_information_score: -2.0709, mean_absolute_error: 0.4526, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4753, root_relative_squared_error: 1,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set analcatdata_authorship

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 820.1201, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7898, recall: 0.9976, relative_absolute_error: 0.0379, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0453, root_relative_squared_error: 0.1093,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set analcatdata_authorship

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 819.9854, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7898, recall: 0.9976, relative_absolute_error: 0.0382, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0454, root_relative_squared_error: 0.1096,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set Australian

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.7835, kappa: 0.561, kb_relative_information_score: 312.3891, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7836, predictive_accuracy: 0.7841, prior_entropy: 0.9913, recall: 0.7841, relative_absolute_error: 0.5709, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7923,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set micro-mass

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, kappa: 0.0005, kb_relative_information_score: 3.9126, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0002,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set monks-problems-1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 552.7585, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0081, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0042, root_relative_squared_error: 0.0084,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set sylva_agnostic

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: 3.5287, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set monks-problems-1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 552.339, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0091, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0048, root_relative_squared_error: 0.0095,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set breast-w

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9642, kappa: 0.9208, kb_relative_information_score: 624.6803, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9642, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.3371,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set credit-g

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.369, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set monks-problems-1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.506, f_measure: 0.489, kappa: 0.0504, kb_relative_information_score: -0.8161, mean_absolute_error: 0.5006, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5351, predictive_accuracy: 0.5252, prior_entropy: 1, recall: 0.5252, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0018,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set irish

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.984, kappa: 0.9677, kb_relative_information_score: 454.2103, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.991, recall: 0.984, relative_absolute_error: 0.1098, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.133, root_relative_squared_error: 0.2677,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set micro-mass

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kappa: 0.0048, kb_relative_information_score: 4.1034, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1086, prior_entropy: 4.208, recall: 0.1086, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set synthetic_control

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.99, kappa: 0.988, kb_relative_information_score: 575.547, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9901, predictive_accuracy: 0.99, prior_entropy: 2.585, recall: 0.99, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0644, root_relative_squared_error: 0.1729,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set monks-problems-1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6526, f_measure: 0.6248, kappa: 0.2698, kb_relative_information_score: 7.2628, mean_absolute_error: 0.4954, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.6511, predictive_accuracy: 0.6349, prior_entropy: 1, recall: 0.6349, relative_absolute_error: 0.9908, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9913,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set soybean

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9175, kappa: 0.9101, kb_relative_information_score: 559.9613, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.924, predictive_accuracy: 0.918, prior_entropy: 3.8572, recall: 0.918, relative_absolute_error: 0.3449, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1003, root_relative_squared_error: 0.4579,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set collins

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9737, kappa: 0.9713, kb_relative_information_score: 406.2759, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.1212, number_of_instances: 500, precision: 0.9749, predictive_accuracy: 0.974, prior_entropy: 3.6642, recall: 0.974, relative_absolute_error: 0.3476, root_mean_prior_squared_error: 0.246, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.4263,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set collins

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9654, kappa: 0.9626, kb_relative_information_score: 414.5075, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.1212, number_of_instances: 500, precision: 0.9667, predictive_accuracy: 0.966, prior_entropy: 3.6642, recall: 0.966, relative_absolute_error: 0.3176, root_mean_prior_squared_error: 0.246, root_mean_squared_error: 0.099, root_relative_squared_error: 0.4022,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set anneal

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5653, kappa: -0.0016, kb_relative_information_score: -9.551, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.7606, prior_entropy: 1.2149, recall: 0.7606, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2576, root_relative_squared_error: 0.9976,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set vowel

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.997, kappa: 0.9967, kb_relative_information_score: 955.4773, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 3.4594, recall: 0.997, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0363, root_relative_squared_error: 0.1262,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set monks-problems-1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 552.308, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0092, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0048, root_relative_squared_error: 0.0096,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set analcatdata_authorship

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9822, kappa: 0.974, kb_relative_information_score: 802.5953, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9822, predictive_accuracy: 0.9822, prior_entropy: 1.7898, recall: 0.9822, relative_absolute_error: 0.0614, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.2126,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set collins

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.461, kappa: -0.0012, kb_relative_information_score: 3.8749, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.1212, number_of_instances: 500, predictive_accuracy: 0.158, prior_entropy: 3.6642, recall: 0.158, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.246, root_mean_squared_error: 0.2461, root_relative_squared_error: 1.0002,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set LED-display-domain-7digit

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.6113, kappa: 0.5795, kb_relative_information_score: 248.986, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.6675, predictive_accuracy: 0.622, prior_entropy: 3.3127, recall: 0.622, relative_absolute_error: 0.6938, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.782,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set micro-mass

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 17.4867, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.049, prior_entropy: 4.208, recall: 0.049, relative_absolute_error: 1.0104, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.3084, root_relative_squared_error: 1.4218,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set cylinder-bands

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.7935, kappa: 0.5754, kb_relative_information_score: 186.2179, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7936, predictive_accuracy: 0.7944, prior_entropy: 0.9826, recall: 0.7944, relative_absolute_error: 0.691, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8196,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set eucalyptus

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, kb_relative_information_score: 4.8996, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2908, prior_entropy: 2.2629, recall: 0.2908, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3958, root_relative_squared_error: 1.0003,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set Australian

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 413.9321, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4303, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.6691,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set dresses-sales

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5109, f_measure: 0.4393, kappa: 0.0165, kb_relative_information_score: 5.8788, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.7584, predictive_accuracy: 0.586, prior_entropy: 0.9816, recall: 0.586, relative_absolute_error: 0.9884, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4904, root_relative_squared_error: 0.9937,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set climate-model-simulation-crashes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, kb_relative_information_score: 2.5938, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.1571, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set Australian

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 382.6861, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4839, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.6947,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set blood-transfusion-service-center

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3931, f_measure: 0.6643, kappa: 0.0094, kb_relative_information_score: -11.6979, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6609, predictive_accuracy: 0.758, prior_entropy: 0.7928, recall: 0.758, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4406, root_relative_squared_error: 1.0347,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set collins

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, kappa: 0.6292, kb_relative_information_score: 260.4649, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.1212, number_of_instances: 500, predictive_accuracy: 0.664, prior_entropy: 3.6642, recall: 0.664, relative_absolute_error: 0.6846, root_mean_prior_squared_error: 0.246, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.7675,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set irish

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 477.4459, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0526, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1078, root_relative_squared_error: 0.2171,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set blood-transfusion-service-center

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6474, f_measure: 0.6902, kappa: 0.0785, kb_relative_information_score: 31.3095, mean_absolute_error: 0.3413, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7039, predictive_accuracy: 0.7607, prior_entropy: 0.7928, recall: 0.7607, relative_absolute_error: 0.94, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.9719,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set ilpd

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6373, f_measure: 0.5996, kappa: 0.0067, kb_relative_information_score: 5.4421, mean_absolute_error: 0.3979, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6244, predictive_accuracy: 0.7118, prior_entropy: 0.865, recall: 0.7118, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.9855,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set mfeat-fourier

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.8763, kappa: 0.8622, kb_relative_information_score: 1727.0819, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8768, predictive_accuracy: 0.876, prior_entropy: 3.3219, recall: 0.876, relative_absolute_error: 0.2263, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1328, root_relative_squared_error: 0.4428,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set balance-scale

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.8089, kappa: 0.6935, kb_relative_information_score: 352.5711, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8223, predictive_accuracy: 0.8336, prior_entropy: 1.3212, recall: 0.8336, relative_absolute_error: 0.4466, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.6411,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set credit-g

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.5799, kb_relative_information_score: -3.2755, mean_absolute_error: 0.4186, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.58, predictive_accuracy: 0.696, prior_entropy: 0.8818, recall: 0.696, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4588, root_relative_squared_error: 1.0012,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set analcatdata_authorship

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 819.9704, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7898, recall: 0.9976, relative_absolute_error: 0.0382, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0457, root_relative_squared_error: 0.1102,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set sylva_agnostic

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9832, kappa: 0.8529, kb_relative_information_score: 10293.4516, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9831, predictive_accuracy: 0.9833, prior_entropy: 0.3338, recall: 0.9833, relative_absolute_error: 0.2092, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.4596,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set analcatdata_authorship

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 0.9192, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0001,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.746, kappa: 0.4284, kb_relative_information_score: 208.6748, mean_absolute_error: 0.339, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7521, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.7459, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8646,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set credit-approval

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.4552, kappa: 0.0551, kb_relative_information_score: 0.6694, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.649, predictive_accuracy: 0.5754, prior_entropy: 0.9913, recall: 0.5754, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9998,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set vowel

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9949, kappa: 0.9944, kb_relative_information_score: 940.5669, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.995, predictive_accuracy: 0.9949, prior_entropy: 3.4594, recall: 0.9949, relative_absolute_error: 0.1007, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0564, root_relative_squared_error: 0.1961,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set monks-problems-2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.6563, kappa: 0.2187, kb_relative_information_score: 120.5073, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6712, predictive_accuracy: 0.6905, prior_entropy: 0.9279, recall: 0.6905, relative_absolute_error: 0.8073, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8846,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set one-hundred-plants-shape

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4498, kappa: 0.0025, kb_relative_information_score: 48.3249, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set car

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9292, kappa: 0.8465, kb_relative_information_score: 1376.557, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9338, predictive_accuracy: 0.9271, prior_entropy: 1.2099, recall: 0.9271, relative_absolute_error: 0.2513, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.4933,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set irish

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7424, kappa: 0.4778, kb_relative_information_score: 187.2935, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7527, predictive_accuracy: 0.748, prior_entropy: 0.991, recall: 0.748, relative_absolute_error: 0.6432, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8096,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set sylva_agnostic

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9833, kappa: 0.8539, kb_relative_information_score: 10220.9559, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9832, predictive_accuracy: 0.9834, prior_entropy: 0.3338, recall: 0.9834, relative_absolute_error: 0.2126, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.4598,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set analcatdata_authorship

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9905, kappa: 0.9862, kb_relative_information_score: 809.8222, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7898, recall: 0.9905, relative_absolute_error: 0.054, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0704, root_relative_squared_error: 0.1699,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set analcatdata_authorship

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kappa: -0.0017, kb_relative_information_score: 0.9631, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3734, prior_entropy: 1.7898, recall: 0.3734, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0001,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set one-hundred-plants-shape

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5075, kappa: 0.0025, kb_relative_information_score: 17.7547, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9998,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set ilpd

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4908, kb_relative_information_score: 0.2784, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set dresses-sales

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5972, f_measure: 0.4986, kappa: 0.0663, kb_relative_information_score: 12.1891, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6125, predictive_accuracy: 0.598, prior_entropy: 0.9816, recall: 0.598, relative_absolute_error: 0.9802, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4889, root_relative_squared_error: 0.9905,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set monks-problems-1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4006, f_measure: 0.4537, kappa: 0.0072, kb_relative_information_score: -2.5635, mean_absolute_error: 0.5016, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5057, predictive_accuracy: 0.5036, prior_entropy: 1, recall: 0.5036, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0037,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set car

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9371, kappa: 0.8632, kb_relative_information_score: 1412.1042, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9383, predictive_accuracy: 0.9363, prior_entropy: 1.2099, recall: 0.9363, relative_absolute_error: 0.2317, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.456,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set kc2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7881, f_measure: 0.7169, kappa: 0.0393, kb_relative_information_score: -4.5941, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.704, predictive_accuracy: 0.7835, prior_entropy: 0.734, recall: 0.7835, relative_absolute_error: 0.9169, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.9229,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set anneal

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.8203, kappa: 0.503, kb_relative_information_score: 353.9088, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8382, predictive_accuracy: 0.8396, prior_entropy: 1.2149, recall: 0.8396, relative_absolute_error: 0.6553, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8078,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set breast-w

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.9209, kappa: 0.822, kb_relative_information_score: 369.8029, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9262, predictive_accuracy: 0.9227, prior_entropy: 0.9297, recall: 0.9227, relative_absolute_error: 0.5318, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.305, root_relative_squared_error: 0.6417,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set collins

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, kappa: 0.6245, kb_relative_information_score: 262.0217, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.1212, number_of_instances: 500, predictive_accuracy: 0.66, prior_entropy: 3.6642, recall: 0.66, relative_absolute_error: 0.6815, root_mean_prior_squared_error: 0.246, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.7661,

Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set one-hundred-plants-shape

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, kappa: 0.0025, kb_relative_information_score: 19.1387, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9998,

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