OpenML

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set bank-marketing

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 1.4931, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set PhishingWebsites

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 7077.7189, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9906, recall: 0.8889, relative_absolute_error: 0.4002, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.6326,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set mfeat-morphological

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, 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 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set pc4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 1.6718, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set letter

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: 1.693, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 20000, predictive_accuracy: 0.0407, prior_entropy: 4.6998, recall: 0.0407, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set one-hundred-plants-shape

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, kappa: -0.0038, kb_relative_information_score: 3.4727, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set monks-problems-1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set har

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: 0.6599, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, predictive_accuracy: 0.1888, prior_entropy: 2.5759, recall: 0.1888, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.3722, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(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: 0.2202, mean_absolute_error: 0.4518, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4753, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set wall-robot-navigation

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 0.9699, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set mfeat-pixel

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7015, kappa: 0.1006, kb_relative_information_score: 450.2253, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1905, prior_entropy: 3.3219, recall: 0.1905, relative_absolute_error: 0.9249, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.9618,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set first-order-theorem-proving

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: 1.0624, mean_absolute_error: 0.2507, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3541, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set ozone-level-8hr

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 3.4436, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set kr-vs-kp

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6664, f_measure: 0.6233, kappa: 0.3396, kb_relative_information_score: 676.8475, mean_absolute_error: 0.397, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8015, predictive_accuracy: 0.6605, prior_entropy: 0.9986, recall: 0.6605, relative_absolute_error: 0.7955, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.8919,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set kc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, kb_relative_information_score: 1.3024, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.622, recall: 0.8454, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3615, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set mfeat-zernike

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, 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 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set mfeat-fourier

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, 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 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set mfeat-karhunen

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, 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 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set satimage

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, kb_relative_information_score: 0.7319, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, predictive_accuracy: 0.2381, prior_entropy: 2.4836, recall: 0.2381, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.3675, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set artificial-characters

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 0.623, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.179, number_of_instances: 10218, predictive_accuracy: 0.1386, prior_entropy: 3.2849, recall: 0.1386, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2992, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set KDDCup09_churn

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 2.9921, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, predictive_accuracy: 0.9266, prior_entropy: 0.3787, recall: 0.9266, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2609, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 0.5641, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set LED-display-domain-7digit

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, kappa: -0.0068, kb_relative_information_score: 0.6981, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.108, prior_entropy: 3.3127, recall: 0.108, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2998, root_relative_squared_error: 1.0001,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set cnae-9

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, predictive_accuracy: 0.1111, prior_entropy: 3.1699, recall: 0.1111, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3143, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set artificial-characters

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 0.623, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.179, number_of_instances: 10218, predictive_accuracy: 0.1386, prior_entropy: 3.2849, recall: 0.1386, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2992, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set monks-problems-1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set madelon

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set steel-plates-fault

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 0.2181, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set collins

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6319, kappa: 0.1867, kb_relative_information_score: 86.114, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.1212, number_of_instances: 500, predictive_accuracy: 0.31, prior_entropy: 3.6642, recall: 0.31, relative_absolute_error: 0.8375, root_mean_prior_squared_error: 0.246, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.9156,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 121.1671, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9411,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set mfeat-pixel

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7121, kappa: 0.1033, kb_relative_information_score: 440.4984, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.193, prior_entropy: 3.3219, recall: 0.193, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.9639,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set Australian

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -0.0029, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set soybean

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, kappa: 0.1519, kb_relative_information_score: 169.1264, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2635, prior_entropy: 3.8572, recall: 0.2635, relative_absolute_error: 0.9034, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.951,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set kc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, kb_relative_information_score: 1.3024, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.622, recall: 0.8454, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3615, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set spambase

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: 0.0932, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set qsar-biodeg

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set nomao

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.7715, kappa: 0.5144, kb_relative_information_score: 9840.1104, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8435, predictive_accuracy: 0.7599, prior_entropy: 0.863, recall: 0.7599, relative_absolute_error: 0.6829, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.8264,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 121.1671, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9411,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set mozilla4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.2147, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set eucalyptus

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: 0.4917, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2908, prior_entropy: 2.2629, recall: 0.2908, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3957, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set sick

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: 3.5482, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set Australian

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -0.0029, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set optdigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kappa: -0.0004, kb_relative_information_score: 0.7758, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 5620, predictive_accuracy: 0.1014, prior_entropy: 3.3218, recall: 0.1014, 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 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set profb

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 0.2297, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, kb_relative_information_score: 3.116, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set Amazon_employee_access

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5155, kb_relative_information_score: -159.0313, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9882, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.9942,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, kappa: 0.4122, kb_relative_information_score: 1065.2088, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.6238, prior_entropy: 1.4804, recall: 0.6238, relative_absolute_error: 0.7348, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.8574,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set collins

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6319, kappa: 0.1867, kb_relative_information_score: 86.114, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.1212, number_of_instances: 500, predictive_accuracy: 0.31, prior_entropy: 3.6642, recall: 0.31, relative_absolute_error: 0.8375, root_mean_prior_squared_error: 0.246, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.9156,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set micro-mass

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, kb_relative_information_score: 1.4272, 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: 0.9998, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set eucalyptus

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5799, kappa: 0.1375, kb_relative_information_score: 89.769, mean_absolute_error: 0.2831, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.3845, prior_entropy: 2.2629, recall: 0.3845, relative_absolute_error: 0.9037, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.9508,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set ada_agnostic

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set MagicTelescope

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 0.1382, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set kr-vs-kp

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6664, f_measure: 0.6233, kappa: 0.3396, kb_relative_information_score: 676.8475, mean_absolute_error: 0.397, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8015, predictive_accuracy: 0.6605, prior_entropy: 0.9986, recall: 0.6605, relative_absolute_error: 0.7955, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.8919,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set waveform-5000

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: 0.3131, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, predictive_accuracy: 0.3384, prior_entropy: 1.5849, recall: 0.3384, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set irish

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 304.7322, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.4222, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6514,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set profb

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 0.2297, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set gina_agnostic

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -0.0031, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 0.546, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4804, recall: 0.5188, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4528, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set cardiotocography

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 1.7535, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.1679, number_of_instances: 2126, predictive_accuracy: 0.2723, prior_entropy: 2.9174, recall: 0.2723, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.2897, root_mean_squared_error: 0.2897, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set pc3

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 2.1237, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set KDDCup09_upselling

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 2.9842, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set breast-w

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 0.4389, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4745, root_relative_squared_error: 0.9984,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set synthetic_control

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 600, predictive_accuracy: 0.1667, prior_entropy: 2.585, recall: 0.1667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set waveform-5000

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: 0.3131, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, predictive_accuracy: 0.3384, prior_entropy: 1.5849, recall: 0.3384, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set kc2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, kb_relative_information_score: 0.6514, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set mfeat-pixel

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, 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 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set pc3

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 2.1237, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set banknote-authentication

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 0.0263, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, 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 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set spambase

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: 0.0932, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set credit-approval

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.9864, mean_absolute_error: 0.2379, 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: 0.4815, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6946,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set first-order-theorem-proving

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: 1.0624, mean_absolute_error: 0.2507, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3541, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set dresses-sales

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5608, f_measure: 0.6075, kappa: 0.1983, kb_relative_information_score: 28.4088, mean_absolute_error: 0.4656, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6261, predictive_accuracy: 0.632, prior_entropy: 0.9816, recall: 0.632, relative_absolute_error: 0.9556, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9788,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set waveform-5000

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: 0.3131, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, predictive_accuracy: 0.3384, prior_entropy: 1.5849, recall: 0.3384, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set mfeat-morphological

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, 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 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set mfeat-pixel

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, 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 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set SpeedDating

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, kb_relative_information_score: -1400.6068, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9336, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.9664,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set pendigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kappa: -0.0004, kb_relative_information_score: 0.9909, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 10992, predictive_accuracy: 0.1037, prior_entropy: 3.3208, recall: 0.1037, 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 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set car

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set vehicle

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, kappa: -0.0029, kb_relative_information_score: 0.2874, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.3748, number_of_instances: 846, predictive_accuracy: 0.2553, prior_entropy: 1.9991, recall: 0.2553, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4329, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set higgs

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0051, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set kc2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, kb_relative_information_score: 0.6514, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set mfeat-zernike

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, 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 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set JapaneseVowels

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: 0.6077, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3132, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set mfeat-zernike

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, 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 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set qsar-biodeg

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set ilpd

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5048, kb_relative_information_score: -5.3314, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9983,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set sick

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, kb_relative_information_score: -2542.1907, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9062, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.9528,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 0.5641, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set ilpd

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5048, kb_relative_information_score: -5.3314, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9983,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set mfeat-factors

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, 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 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set analcatdata_dmft

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, kb_relative_information_score: 0.591, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.2774, number_of_instances: 797, predictive_accuracy: 0.1945, prior_entropy: 2.5803, recall: 0.1945, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3724, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set mfeat-karhunen

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, 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 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set kc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, kb_relative_information_score: 1.3024, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.622, recall: 0.8454, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3615, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set GesturePhaseSegmentationProcessed

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 0.7479, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, predictive_accuracy: 0.2988, prior_entropy: 2.1936, recall: 0.2988, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3915, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set cnae-9

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, predictive_accuracy: 0.1111, prior_entropy: 3.1699, recall: 0.1111, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3143, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set tamilnadu-electricity

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kappa: -0, kb_relative_information_score: 1.4433, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, predictive_accuracy: 0.0634, prior_entropy: 4.2455, recall: 0.0634, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2174, root_mean_squared_error: 0.2174, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set car

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,

Jan van Rijn 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set mfeat-zernike

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, 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 6 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set kr-vs-kp

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6664, f_measure: 0.6233, kappa: 0.3396, kb_relative_information_score: 676.8475, mean_absolute_error: 0.397, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8015, predictive_accuracy: 0.6605, prior_entropy: 0.9986, recall: 0.6605, relative_absolute_error: 0.7955, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.8919,

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