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Miguel Cachada 7 years ago
ran flow weka.FilteredClassifier_A1DE(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.966, kappa: 0.9155, kb_relative_information_score: 783.9223, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9664, predictive_accuracy: 0.9666, prior_entropy: 1.2149, recall: 0.9666, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.3544, scimark_benchmark: 1532.29, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.8245, kappa: 0.5181, kb_relative_information_score: 436.8806, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8448, predictive_accuracy: 0.8463, prior_entropy: 1.2149, recall: 0.8463, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.7625,
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: 0.5613, kappa: -0.0015, kb_relative_information_score: 12.7695, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.7606, prior_entropy: 1.2149, recall: 0.7606, relative_absolute_error: 0.9683, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.9962,
Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5704, f_measure: 0.6587, kb_relative_information_score: 5.7192, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9728, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.257, root_relative_squared_error: 0.9952,
Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.7988, kappa: 0.4478, kb_relative_information_score: 313.0806, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8326, predictive_accuracy: 0.8307, prior_entropy: 1.2149, recall: 0.8307, relative_absolute_error: 0.6914, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.8422,
Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... er=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.8392, kappa: 0.5815, kb_relative_information_score: 396.3648, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8367, predictive_accuracy: 0.8519, prior_entropy: 1.2149, recall: 0.8519, relative_absolute_error: 0.6208, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.7883,
Joaquin Vanschoren 9 years ago
ran flow weka.FilteredClassifier_Discretize_J48(4) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.9041, kappa: 0.7654, kb_relative_information_score: 631.3211, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9079, predictive_accuracy: 0.9065, prior_entropy: 1.2149, recall: 0.9065, relative_absolute_error: 0.3232, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.5835, scimark_benchmark: 1350.9691, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
Joaquin Vanschoren 9 years ago
ran flow weka.FilteredClassifier_PrincipalComponents_J48(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8811, kappa: 0.6995, kb_relative_information_score: 586.543, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.882, predictive_accuracy: 0.882, prior_entropy: 1.2149, recall: 0.882, relative_absolute_error: 0.3421, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.726, scimark_benchmark: 1315.3709, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
Joaquin Vanschoren 9 years ago
ran flow weka.A1DE(4) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.966, kappa: 0.9155, kb_relative_information_score: 783.9223, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9664, predictive_accuracy: 0.9666, prior_entropy: 1.2149, recall: 0.9666, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.3544, scimark_benchmark: 1321.8321, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
Miguel Cachada 7 years ago
ran flow weka.FilteredClassifier_Attrib ... _MultiBoostAB_DecisionStump(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 408.4505, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.4215, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.9001, scimark_benchmark: 1540.2055, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
Isabel van den Heuvel 6 years ago
ran flow weka.J48(41) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
Isabel van den Heuvel 6 years ago
ran flow weka.ZeroR(17) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
Fenna Blom 6 years ago
ran flow weka.J48(41) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
Miguel Cachada 7 years ago
ran flow weka.FilteredClassifier_Attrib ... talLogitBoost_DecisionStump(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1442.1983, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
Miguel Cachada 7 years ago
ran flow weka.FilteredClassifier_Attrib ... lectedClassifier_END_ND_J48(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9128, kappa: 0.7811, kb_relative_information_score: 637.8366, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9196, predictive_accuracy: 0.9187, prior_entropy: 1.2149, recall: 0.9187, relative_absolute_error: 0.3507, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.5509, scimark_benchmark: 1525.4833, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
Miguel Cachada 7 years ago
ran flow weka.FilteredClassifier_Attrib ... sifier_MultiBoostAB_REPTree(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9189, kappa: 0.7943, kb_relative_information_score: 699.9001, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9199, predictive_accuracy: 0.9198, prior_entropy: 1.2149, recall: 0.9198, relative_absolute_error: 0.1975, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.5916, scimark_benchmark: 1579.8538, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
Miguel Cachada 7 years ago
ran flow weka.FilteredClassifier_Attrib ... ier_MultiBoostAB_RandomTree(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.9281, kappa: 0.821, kb_relative_information_score: 714.0774, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9288, predictive_accuracy: 0.9276, prior_entropy: 1.2149, recall: 0.9276, relative_absolute_error: 0.1845, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.153, root_relative_squared_error: 0.5927, scimark_benchmark: 1460.5489, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
Jan van Rijn 8 years ago
ran flow weka.RandomCommittee_RandomTree(4) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9497, kappa: 0.874, kb_relative_information_score: 721.8953, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9497, predictive_accuracy: 0.9499, prior_entropy: 1.2149, recall: 0.9499, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.4466, scimark_benchmark: 1550.8975, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
Jan van Rijn 8 years ago
ran flow weka.IterativeClassifierOptimi ... er_LogitBoost_DecisionStump(2) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9876, kappa: 0.9695, kb_relative_information_score: 825.3884, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9879, predictive_accuracy: 0.9878, prior_entropy: 1.2149, recall: 0.9878, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0627, root_relative_squared_error: 0.2428, scimark_benchmark: 1283.3491, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
Jan van Rijn 8 years ago
ran flow weka.SMO_PolyKernel(11) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.8591, kappa: 0.6565, kb_relative_information_score: -472.3343, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.863, predictive_accuracy: 0.8697, prior_entropy: 1.2149, recall: 0.8697, relative_absolute_error: 1.6769, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3151, root_relative_squared_error: 1.2203, scimark_benchmark: 1953.6682, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
Jan van Rijn 8 years ago
ran flow weka.SMO_PolyKernel(11) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.8591, kappa: 0.6565, kb_relative_information_score: -472.3343, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.863, predictive_accuracy: 0.8697, prior_entropy: 1.2149, recall: 0.8697, relative_absolute_error: 1.6769, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3151, root_relative_squared_error: 1.2203, scimark_benchmark: 1976.3259, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
Jan van Rijn 8 years ago
ran flow weka.SMO_PolyKernel(11) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.8591, kappa: 0.6565, kb_relative_information_score: -472.3343, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.863, predictive_accuracy: 0.8697, prior_entropy: 1.2149, recall: 0.8697, relative_absolute_error: 1.6769, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3151, root_relative_squared_error: 1.2203, scimark_benchmark: 1917.893, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
Jan van Rijn 8 years ago
ran flow weka.SMO_PolyKernel(11) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.8591, kappa: 0.6565, kb_relative_information_score: -472.3343, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.863, predictive_accuracy: 0.8697, prior_entropy: 1.2149, recall: 0.8697, relative_absolute_error: 1.6769, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3151, root_relative_squared_error: 1.2203, scimark_benchmark: 1306.0804, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
Jan van Rijn 8 years ago
ran flow weka.SMO_PolyKernel(11) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.8591, kappa: 0.6565, kb_relative_information_score: -472.3343, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.863, predictive_accuracy: 0.8697, prior_entropy: 1.2149, recall: 0.8697, relative_absolute_error: 1.6769, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3151, root_relative_squared_error: 1.2203, scimark_benchmark: 1573.967, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
Jan van Rijn 8 years ago
ran flow weka.SMO_PolyKernel(11) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.8591, kappa: 0.6565, kb_relative_information_score: -472.3343, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.863, predictive_accuracy: 0.8697, prior_entropy: 1.2149, recall: 0.8697, relative_absolute_error: 1.6769, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3151, root_relative_squared_error: 1.2203, scimark_benchmark: 1958.3956, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
Jan van Rijn 8 years ago
ran flow weka.SMO_PolyKernel(11) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.8591, kappa: 0.6565, kb_relative_information_score: -472.3343, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.863, predictive_accuracy: 0.8697, prior_entropy: 1.2149, recall: 0.8697, relative_absolute_error: 1.6769, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3151, root_relative_squared_error: 1.2203, scimark_benchmark: 1897.5025, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
Jan van Rijn 8 years ago
ran flow weka.SMO_PolyKernel(11) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.8591, kappa: 0.6565, kb_relative_information_score: -472.3343, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.863, predictive_accuracy: 0.8697, prior_entropy: 1.2149, recall: 0.8697, relative_absolute_error: 1.6769, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3151, root_relative_squared_error: 1.2203, scimark_benchmark: 1904.6644, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
Jan van Rijn 8 years ago
ran flow weka.SMO_PolyKernel(11) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.8591, kappa: 0.6565, kb_relative_information_score: -472.3343, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.863, predictive_accuracy: 0.8697, prior_entropy: 1.2149, recall: 0.8697, relative_absolute_error: 1.6769, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3151, root_relative_squared_error: 1.2203, scimark_benchmark: 985.953, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
Jan van Rijn 8 years ago
ran flow weka.SMO_PolyKernel(11) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.8591, kappa: 0.6565, kb_relative_information_score: -472.3343, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.863, predictive_accuracy: 0.8697, prior_entropy: 1.2149, recall: 0.8697, relative_absolute_error: 1.6769, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3151, root_relative_squared_error: 1.2203, scimark_benchmark: 1029.9649, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9584, kappa: 0.8966, kb_relative_information_score: -650.2268, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.959, predictive_accuracy: 0.9588, prior_entropy: 1.2149, recall: 0.9588, relative_absolute_error: 1.8958, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3487, root_relative_squared_error: 1.3504,
Jan van Rijn 8 years ago
ran flow weka.SMO_PolyKernel(11) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.8591, kappa: 0.6565, kb_relative_information_score: -472.3343, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.863, predictive_accuracy: 0.8697, prior_entropy: 1.2149, recall: 0.8697, relative_absolute_error: 1.6769, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3151, root_relative_squared_error: 1.2203, scimark_benchmark: 1233.8573, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
Jan van Rijn 8 years ago
ran flow weka.SMO_PolyKernel(11) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.8591, kappa: 0.6565, kb_relative_information_score: -472.3343, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.863, predictive_accuracy: 0.8697, prior_entropy: 1.2149, recall: 0.8697, relative_absolute_error: 1.6769, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3151, root_relative_squared_error: 1.2203, scimark_benchmark: 1870.1698, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
Jan van Rijn 8 years ago
ran flow weka.SMO_PolyKernel(11) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.8591, kappa: 0.6565, kb_relative_information_score: -472.3343, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.863, predictive_accuracy: 0.8697, prior_entropy: 1.2149, recall: 0.8697, relative_absolute_error: 1.6769, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3151, root_relative_squared_error: 1.2203, scimark_benchmark: 987.7838, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
Jan van Rijn 8 years ago
ran flow weka.SMO_PolyKernel(11) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.8591, kappa: 0.6565, kb_relative_information_score: -472.3343, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.863, predictive_accuracy: 0.8697, prior_entropy: 1.2149, recall: 0.8697, relative_absolute_error: 1.6769, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3151, root_relative_squared_error: 1.2203, scimark_benchmark: 1022.2613, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
Jan van Rijn 8 years ago
ran flow weka.SMO_PolyKernel(11) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.8591, kappa: 0.6565, kb_relative_information_score: -472.3343, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.863, predictive_accuracy: 0.8697, prior_entropy: 1.2149, recall: 0.8697, relative_absolute_error: 1.6769, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3151, root_relative_squared_error: 1.2203, scimark_benchmark: 973.0179, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
Jan van Rijn 8 years ago
ran flow weka.SMO_PolyKernel(11) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.8591, kappa: 0.6565, kb_relative_information_score: -472.3343, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.863, predictive_accuracy: 0.8697, prior_entropy: 1.2149, recall: 0.8697, relative_absolute_error: 1.6769, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3151, root_relative_squared_error: 1.2203, scimark_benchmark: 957.9023, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
Jan van Rijn 8 years ago
ran flow weka.SMO_PolyKernel(11) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.8591, kappa: 0.6565, kb_relative_information_score: -472.3343, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.863, predictive_accuracy: 0.8697, prior_entropy: 1.2149, recall: 0.8697, relative_absolute_error: 1.6769, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3151, root_relative_squared_error: 1.2203, scimark_benchmark: 1382.5316, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
Jan van Rijn 8 years ago
ran flow weka.SMO_PolyKernel(11) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.8591, kappa: 0.6565, kb_relative_information_score: -472.3343, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.863, predictive_accuracy: 0.8697, prior_entropy: 1.2149, recall: 0.8697, relative_absolute_error: 1.6769, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3151, root_relative_squared_error: 1.2203, scimark_benchmark: 1383.6433, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
Jan van Rijn 8 years ago
ran flow weka.SMO_PolyKernel(11) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.8591, kappa: 0.6565, kb_relative_information_score: -472.3343, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.863, predictive_accuracy: 0.8697, prior_entropy: 1.2149, recall: 0.8697, relative_absolute_error: 1.6769, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3151, root_relative_squared_error: 1.2203, scimark_benchmark: 1380.3969, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
Jan van Rijn 8 years ago
ran flow weka.SMO_PolyKernel(11) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.8591, kappa: 0.6565, kb_relative_information_score: -472.3343, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.863, predictive_accuracy: 0.8697, prior_entropy: 1.2149, recall: 0.8697, relative_absolute_error: 1.6769, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3151, root_relative_squared_error: 1.2203, scimark_benchmark: 1359.6307, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
Jan van Rijn 8 years ago
ran flow weka.SMO_PolyKernel(11) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.8591, kappa: 0.6565, kb_relative_information_score: -472.3343, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.863, predictive_accuracy: 0.8697, prior_entropy: 1.2149, recall: 0.8697, relative_absolute_error: 1.6769, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3151, root_relative_squared_error: 1.2203, scimark_benchmark: 1400.5171, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
Jan van Rijn 8 years ago
ran flow weka.SMO_PolyKernel(11) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.8591, kappa: 0.6565, kb_relative_information_score: -472.3343, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.863, predictive_accuracy: 0.8697, prior_entropy: 1.2149, recall: 0.8697, relative_absolute_error: 1.6769, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3151, root_relative_squared_error: 1.2203, scimark_benchmark: 1342.7739, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
Jan van Rijn 8 years ago
ran flow weka.SMO_PolyKernel(11) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.8591, kappa: 0.6565, kb_relative_information_score: -472.3343, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.863, predictive_accuracy: 0.8697, prior_entropy: 1.2149, recall: 0.8697, relative_absolute_error: 1.6769, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3151, root_relative_squared_error: 1.2203, scimark_benchmark: 1380.9196, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, kappa: 0.2963, kb_relative_information_score: 514.9366, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.8073, prior_entropy: 1.2149, recall: 0.8073, relative_absolute_error: 0.467, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.7821,
Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9489, kappa: 0.8724, kb_relative_information_score: 756.0199, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9491, predictive_accuracy: 0.9488, prior_entropy: 1.2149, recall: 0.9488, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.4589,
Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, f_measure: 0.8306, kappa: 0.5732, kb_relative_information_score: -692.1189, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.837, predictive_accuracy: 0.8274, prior_entropy: 1.2149, recall: 0.8274, relative_absolute_error: 1.9511, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3589, root_relative_squared_error: 1.3898,
Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.948, kappa: 0.8704, kb_relative_information_score: 759.7214, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9484, predictive_accuracy: 0.9477, prior_entropy: 1.2149, recall: 0.9477, relative_absolute_error: 0.1357, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1322, root_relative_squared_error: 0.512,
Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, kappa: 0.0016, kb_relative_information_score: 174.5466, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.6693, prior_entropy: 1.2149, recall: 0.6693, relative_absolute_error: 0.9436, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2578, root_relative_squared_error: 0.9985,
Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9567, kappa: 0.8925, kb_relative_information_score: -662.3711, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9569, predictive_accuracy: 0.9566, prior_entropy: 1.2149, recall: 0.9566, relative_absolute_error: 1.912, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3517, root_relative_squared_error: 1.3619,
Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9154, kappa: 0.7899, kb_relative_information_score: -687.4767, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.917, predictive_accuracy: 0.9143, prior_entropy: 1.2149, recall: 0.9143, relative_absolute_error: 1.9439, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3576, root_relative_squared_error: 1.3847,
Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9567, kappa: 0.8927, kb_relative_information_score: -642.3119, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9571, predictive_accuracy: 0.9566, prior_entropy: 1.2149, recall: 0.9566, relative_absolute_error: 1.8902, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3477, root_relative_squared_error: 1.3464,
Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9508, kappa: 0.8776, kb_relative_information_score: -658.3218, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.951, predictive_accuracy: 0.951, prior_entropy: 1.2149, recall: 0.951, relative_absolute_error: 1.9088, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3511, root_relative_squared_error: 1.3596,
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: 0.8858, f_measure: 0.8075, kappa: 0.4708, kb_relative_information_score: 416.6547, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8313, predictive_accuracy: 0.8352, prior_entropy: 1.2149, recall: 0.8352, relative_absolute_error: 0.6214, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2, root_relative_squared_error: 0.7747,
Miguel Cachada 7 years ago
ran flow weka.FilteredClassifier_Attrib ... er_LogitBoost_DecisionStump(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9261, kappa: 0.8169, kb_relative_information_score: 703.217, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9273, predictive_accuracy: 0.931, prior_entropy: 1.2149, recall: 0.931, relative_absolute_error: 0.2574, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.4915, scimark_benchmark: 1434.8092, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
Miguel Cachada 7 years ago
ran flow weka.FilteredClassifier_Attrib ... lassifier_MultiBoostAB_JRip(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9559, kappa: 0.8896, kb_relative_information_score: 784.0066, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9569, predictive_accuracy: 0.9555, prior_entropy: 1.2149, recall: 0.9555, relative_absolute_error: 0.1121, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.4526, scimark_benchmark: 1409.1412, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
Miguel Cachada 7 years ago
ran flow weka.FilteredClassifier_Attrib ... ifier_Dagging_DecisionStump(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 309.6945, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.6984, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.8383, scimark_benchmark: 1483.1001, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
Miguel Cachada 7 years ago
ran flow weka.FilteredClassifier_Attrib ... ier_MultiBoostAB_NaiveBayes(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8034, f_measure: 0.6865, kappa: 0.3901, kb_relative_information_score: 3.0867, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7922, predictive_accuracy: 0.6559, prior_entropy: 1.2149, recall: 0.6559, relative_absolute_error: 1.1697, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3079, root_relative_squared_error: 1.1923, scimark_benchmark: 1440.8075, usercpu_time_millis: 130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 90,
Miguel Cachada 7 years ago
ran flow weka.FilteredClassifier_Attrib ... Classifier_MultiBoostAB_J48(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9277, kappa: 0.8169, kb_relative_information_score: 713.9944, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9278, predictive_accuracy: 0.9287, prior_entropy: 1.2149, recall: 0.9287, relative_absolute_error: 0.1816, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.5663, scimark_benchmark: 1462.2416, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
Miguel Cachada 7 years ago
ran flow weka.FilteredClassifier_Attrib ... lassifier_MultiBoostAB_OneR(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 416.7675, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.4126, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.8662, scimark_benchmark: 1459.3701, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6175, kappa: 0.3583, kb_relative_information_score: -701.8318, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.8163, prior_entropy: 1.2149, recall: 0.8163, relative_absolute_error: 1.9607, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3606, root_relative_squared_error: 1.3966,
Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.9058, kappa: 0.7648, kb_relative_information_score: 628.5641, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9113, predictive_accuracy: 0.9031, prior_entropy: 1.2149, recall: 0.9031, relative_absolute_error: 0.3757, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.152, root_relative_squared_error: 0.5886,
Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9501, kappa: 0.876, kb_relative_information_score: 766.0409, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9504, predictive_accuracy: 0.9499, prior_entropy: 1.2149, recall: 0.9499, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.4887,
Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, kappa: 0.3155, kb_relative_information_score: 518.595, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.8051, prior_entropy: 1.2149, recall: 0.8051, relative_absolute_error: 0.5215, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.7348,
Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9378, kappa: 0.8453, kb_relative_information_score: 713.386, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9381, predictive_accuracy: 0.9376, prior_entropy: 1.2149, recall: 0.9376, relative_absolute_error: 0.2414, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.4824,
Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.942, kappa: 0.8553, kb_relative_information_score: 747.5349, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9422, predictive_accuracy: 0.9421, prior_entropy: 1.2149, recall: 0.9421, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.139, root_relative_squared_error: 0.5381,
Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9511, kappa: 0.8785, kb_relative_information_score: 769.1352, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9514, predictive_accuracy: 0.951, prior_entropy: 1.2149, recall: 0.951, relative_absolute_error: 0.1291, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.4857,
Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9544, kappa: 0.8861, kb_relative_information_score: 761.6832, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9545, predictive_accuracy: 0.9543, prior_entropy: 1.2149, recall: 0.9543, relative_absolute_error: 0.1571, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1135, root_relative_squared_error: 0.4396,
William Raynaut 6 years ago
ran flow weka.kf.ReplaceMissingValues-Standardize-NaiveBayes(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.6571, kappa: 0.427, kb_relative_information_score: 196.118, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8469, predictive_accuracy: 0.6325, prior_entropy: 1.2149, recall: 0.6325, relative_absolute_error: 0.9054, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3023, root_relative_squared_error: 1.1708,
William Raynaut 6 years ago
ran flow weka.kf.Standardize-J48(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9096, kappa: 0.772, kb_relative_information_score: 650.1972, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9097, predictive_accuracy: 0.912, prior_entropy: 1.2149, recall: 0.912, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.5659,
Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.95, kappa: 0.876, kb_relative_information_score: -663.7078, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9502, predictive_accuracy: 0.9499, prior_entropy: 1.2149, recall: 0.9499, relative_absolute_error: 1.9138, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.352, root_relative_squared_error: 1.3632,
Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.7975, kappa: 0.4782, kb_relative_information_score: 607.4777, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8531, predictive_accuracy: 0.8408, prior_entropy: 1.2149, recall: 0.8408, relative_absolute_error: 0.3635, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.6786,
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: 0.8615, f_measure: 0.832, kappa: 0.5502, kb_relative_information_score: 406.1312, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8526, predictive_accuracy: 0.8519, prior_entropy: 1.2149, recall: 0.8519, relative_absolute_error: 0.6242, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2, root_relative_squared_error: 0.7745,
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 anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.8334, kappa: 0.5486, kb_relative_information_score: 419.0963, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8513, predictive_accuracy: 0.8519, prior_entropy: 1.2149, recall: 0.8519, relative_absolute_error: 0.5889, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.7617,
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: 0.8922, f_measure: 0.8359, kappa: 0.554, kb_relative_information_score: 390.7866, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8527, predictive_accuracy: 0.8541, prior_entropy: 1.2149, recall: 0.8541, relative_absolute_error: 0.6601, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.7761,
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: 0.4949, kb_relative_information_score: 3.7811, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9936, 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 anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.8395, kappa: 0.5701, kb_relative_information_score: 435.8522, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8587, predictive_accuracy: 0.8575, prior_entropy: 1.2149, recall: 0.8575, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.7574,
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: 0.8644, f_measure: 0.8573, kappa: 0.6251, kb_relative_information_score: 462.007, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8617, predictive_accuracy: 0.8664, prior_entropy: 1.2149, recall: 0.8664, relative_absolute_error: 0.5462, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.7403,
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: 0.9046, f_measure: 0.8545, kappa: 0.6066, kb_relative_information_score: 449.2223, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8643, predictive_accuracy: 0.8664, prior_entropy: 1.2149, recall: 0.8664, relative_absolute_error: 0.5812, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.7498,
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 anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.8175, kappa: 0.504, kb_relative_information_score: 366.9094, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8487, predictive_accuracy: 0.843, prior_entropy: 1.2149, recall: 0.843, relative_absolute_error: 0.6368, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8059,
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: 0.8399, f_measure: 0.8545, kappa: 0.6166, kb_relative_information_score: 439.7043, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8604, predictive_accuracy: 0.8653, prior_entropy: 1.2149, recall: 0.8653, relative_absolute_error: 0.5696, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.7622,
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: 0.8592, f_measure: 0.8304, kappa: 0.5355, kb_relative_information_score: 410.9143, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8439, predictive_accuracy: 0.8474, prior_entropy: 1.2149, recall: 0.8474, relative_absolute_error: 0.6091, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.7782,
Isabel van den Heuvel 6 years ago
ran flow weka.FilteredClassifier(2) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
Jeroen Gommers 6 years ago
ran flow weka.ZeroR(17) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
Jeroen Gommers 6 years ago
ran flow weka.IBk(14) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
Jeroen Gommers 6 years ago
ran flow weka.ZeroR(17) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
Jeroen Gommers 6 years ago
ran flow weka.IBk(14) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
Jeroen Gommers 6 years ago
ran flow weka.IBk(14) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
Jeroen Gommers 6 years ago
ran flow weka.ZeroR(17) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
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: 0.5723, kb_relative_information_score: -6.3848, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.257, root_relative_squared_error: 0.9951,
Jeroen Gommers 6 years ago
ran flow weka.ZeroR(17) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
Jeroen Gommers 6 years ago
ran flow weka.IBk(14) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
Jeroen Gommers 6 years ago
ran flow weka.ZeroR(17) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
Isabel van den Heuvel 6 years ago
ran flow weka.MultiSearch(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
Jeroen Gommers 6 years ago
ran flow weka.ZeroR(17) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
Jeroen Gommers 6 years ago
ran flow weka.ZeroR(17) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
Armin Ott 6 years ago
ran flow mlr.classif.cforest(5) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6587, kb_relative_information_score: 203.0276, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.5915, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2818, root_relative_squared_error: 1.0915, usercpu_time_millis: 27.32, usercpu_time_millis_testing: 3.77, usercpu_time_millis_training: 23.55,
Isabel van den Heuvel 6 years ago
ran flow weka.FilteredClassifier(2) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
Isabel van den Heuvel 6 years ago
ran flow weka.FilteredClassifier(2) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)