OpenML

William Raynaut 7 years ago
ran flow weka.kf.Bagging-J48(1) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.6568, kappa: 0.583, kb_relative_information_score: 109.5503, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.6489, predictive_accuracy: 0.6701, prior_entropy: 2.5862, recall: 0.6701, relative_absolute_error: 0.5186, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.7357,

William Raynaut 7 years ago
ran flow weka.kf.RandomSubspace(1) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.6594, kappa: 0.5921, kb_relative_information_score: 96.8636, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.6562, predictive_accuracy: 0.6804, prior_entropy: 2.5862, recall: 0.6804, relative_absolute_error: 0.6101, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.7406,

William Raynaut 7 years ago
ran flow weka.kf.ZeroR(1) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4571, f_measure: 0.1461, kb_relative_information_score: 0.1702, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.0957, predictive_accuracy: 0.3093, prior_entropy: 2.5862, recall: 0.3093, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.3163, root_relative_squared_error: 1.0005,

William Raynaut 7 years ago
ran flow weka.kf.AttributeSelection-Bes ... SubsetEval-Standardize-IBk5(1) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.6351, kappa: 0.5592, kb_relative_information_score: 112.6138, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.6272, predictive_accuracy: 0.6495, prior_entropy: 2.5862, recall: 0.6495, relative_absolute_error: 0.4982, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.7453,

William Raynaut 7 years ago
ran flow weka.kf.AttributeSelection-Ran ... r-InfoGain-Standardize-IBk5(1) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.5995, kappa: 0.5138, kb_relative_information_score: 90.0407, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.5939, predictive_accuracy: 0.6186, prior_entropy: 2.5862, recall: 0.6186, relative_absolute_error: 0.6428, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.8355,

William Raynaut 7 years ago
ran flow weka.kf.Bagging-SMO(1) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.6459, kappa: 0.578, kb_relative_information_score: 27.3068, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.6361, predictive_accuracy: 0.6701, prior_entropy: 2.5862, recall: 0.6701, relative_absolute_error: 0.9778, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.959,

William Raynaut 7 years ago
ran flow weka.kf.AttributeSelection-Ran ... er-ReliefF-Standardize-IBk5(1) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.6008, kappa: 0.5176, kb_relative_information_score: 89.1725, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.5919, predictive_accuracy: 0.6186, prior_entropy: 2.5862, recall: 0.6186, relative_absolute_error: 0.6527, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.8187,

Random Bot 9 years ago
ran flow classif.avNNet(7) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.4945, kappa: 0.4154, kb_relative_information_score: 79.5259, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.5172, predictive_accuracy: 0.5464, prior_entropy: 2.5862, recall: 0.5464, relative_absolute_error: 0.5653, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.3368, root_relative_squared_error: 1.0652,

William Raynaut 7 years ago
ran flow weka.kf.AttributeSelection-Ranker-InfoGain-SMO(1) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.5731, kappa: 0.4696, kb_relative_information_score: 31.0173, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.5705, predictive_accuracy: 0.5773, prior_entropy: 2.5862, recall: 0.5773, relative_absolute_error: 0.9724, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.959,

William Raynaut 7 years ago
ran flow weka.kf.Bagging-NaiveBayes(1) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.606, kappa: 0.5294, kb_relative_information_score: 98.7271, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.6097, predictive_accuracy: 0.6237, prior_entropy: 2.5862, recall: 0.6237, relative_absolute_error: 0.5429, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.8212,

William Raynaut 7 years ago
ran flow weka.kf.ReplaceMissingValues-J48(1) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.6243, kappa: 0.5451, kb_relative_information_score: 104.5408, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.6138, predictive_accuracy: 0.6392, prior_entropy: 2.5862, recall: 0.6392, relative_absolute_error: 0.4996, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.8564,

William Raynaut 7 years ago
ran flow weka.kf.ReplaceMissingValues-PKIDiscretize-NaiveBayes(1) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.6503, kappa: 0.5845, kb_relative_information_score: 110.837, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.6376, predictive_accuracy: 0.6701, prior_entropy: 2.5862, recall: 0.6701, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.2505, root_relative_squared_error: 0.7923,

William Raynaut 7 years ago
ran flow weka.kf.RandomForest(1) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.6695, kappa: 0.5952, kb_relative_information_score: 91.3312, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.6764, predictive_accuracy: 0.6804, prior_entropy: 2.5862, recall: 0.6804, relative_absolute_error: 0.6447, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.7572,

William Raynaut 7 years ago
ran flow weka.kf.AttributeSelection-BestFirst-CfsSubsetEval-SMO(1) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.669, kappa: 0.6035, kb_relative_information_score: 32.7316, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.6575, predictive_accuracy: 0.6856, prior_entropy: 2.5862, recall: 0.6856, relative_absolute_error: 0.9658, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.9531,

William Raynaut 7 years ago
ran flow weka.kf.AttributeSelection-Ran ... aceMissingValues-NaiveBayes(1) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.6382, kappa: 0.5566, kb_relative_information_score: 109.5237, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.6424, predictive_accuracy: 0.6443, prior_entropy: 2.5862, recall: 0.6443, relative_absolute_error: 0.4916, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.7757,

William Raynaut 7 years ago
ran flow weka.kf.AttributeSelection-Ranker-ReliefF-SMO(1) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.6614, kappa: 0.5867, kb_relative_information_score: 31.1069, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.6557, predictive_accuracy: 0.6701, prior_entropy: 2.5862, recall: 0.6701, relative_absolute_error: 0.9701, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.9567,

William Raynaut 7 years ago
ran flow weka.kf.AdaBoostM1-SMO(1) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.588, kappa: 0.4925, kb_relative_information_score: 93.8725, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.5803, predictive_accuracy: 0.5979, prior_entropy: 2.5862, recall: 0.5979, relative_absolute_error: 0.5017, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.9957,

Rafael Gomes Mantovani 9 years ago
ran flow classif.IBk(5) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.5332, kappa: 0.4192, kb_relative_information_score: 82.404, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.5314, predictive_accuracy: 0.5361, prior_entropy: 2.5862, recall: 0.5361, relative_absolute_error: 0.5781, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.3406, root_relative_squared_error: 1.0772, usercpu_time_millis: 5.722, usercpu_time_millis_testing: 2.678, usercpu_time_millis_training: 3.044,

Rafael Gomes Mantovani 9 years ago
ran flow classif.J48(20) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7785, f_measure: 0.6243, kappa: 0.5451, kb_relative_information_score: 102.3685, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.6138, predictive_accuracy: 0.6392, prior_entropy: 2.5862, recall: 0.6392, relative_absolute_error: 0.4496, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.95, usercpu_time_millis: 7.167, usercpu_time_millis_testing: 3.167, usercpu_time_millis_training: 4,

Rafael Gomes Mantovani 9 years ago
ran flow classif.OneR(4) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.5613, kappa: 0.4589, kb_relative_information_score: 90.6413, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.5989, predictive_accuracy: 0.5773, prior_entropy: 2.5862, recall: 0.5773, relative_absolute_error: 0.5267, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.3251, root_relative_squared_error: 1.0282, usercpu_time_millis: 5.624, usercpu_time_millis_testing: 2.586, usercpu_time_millis_training: 3.038,

Rafael Gomes Mantovani 9 years ago
ran flow classif.rda(4) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0008, kb_relative_information_score: -16.1018, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.0004, predictive_accuracy: 0.0206, prior_entropy: 2.5862, recall: 0.0206, relative_absolute_error: 1.2204, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.4948, root_relative_squared_error: 1.5651, usercpu_time_millis: 23.579, usercpu_time_millis_testing: 0.741, usercpu_time_millis_training: 22.838,

Rafael Gomes Mantovani 9 years ago
ran flow classif.avNNet(5) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6729, f_measure: 0.4409, kappa: 0.3317, kb_relative_information_score: 65.8854, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.4271, predictive_accuracy: 0.4794, prior_entropy: 2.5862, recall: 0.4794, relative_absolute_error: 0.6488, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.3608, root_relative_squared_error: 1.1411, usercpu_time_millis: 11.334, usercpu_time_millis_testing: 1.569, usercpu_time_millis_training: 9.765,

Rafael Gomes Mantovani 9 years ago
ran flow classif.JRip(7) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.5645, kappa: 0.4611, kb_relative_information_score: 91.2485, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.5852, predictive_accuracy: 0.5876, prior_entropy: 2.5862, recall: 0.5876, relative_absolute_error: 0.5139, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.3211, root_relative_squared_error: 1.0156, usercpu_time_millis: 6.399, usercpu_time_millis_testing: 2.571, usercpu_time_millis_training: 3.828,

Rafael Gomes Mantovani 9 years ago
ran flow classif.ksvm(4) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7427, f_measure: 0.5588, kappa: 0.493, kb_relative_information_score: 93.5005, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.5327, predictive_accuracy: 0.6134, prior_entropy: 2.5862, recall: 0.6134, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.9833, usercpu_time_millis: 2.422, usercpu_time_millis_testing: 0.608, usercpu_time_millis_training: 1.814,

Rafael Gomes Mantovani 9 years ago
ran flow classif.nnet(3) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6222, f_measure: 0.3641, kappa: 0.2274, kb_relative_information_score: 49.1194, mean_absolute_error: 0.1521, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.391, predictive_accuracy: 0.3918, prior_entropy: 2.5862, recall: 0.3918, relative_absolute_error: 0.758, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.39, root_relative_squared_error: 1.2334, usercpu_time_millis: 2.625, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 2.246,

Rafael Gomes Mantovani 9 years ago
ran flow classif.boosting(4) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, f_measure: 0.6857, kappa: 0.6221, kb_relative_information_score: 114.9439, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.6744, predictive_accuracy: 0.701, prior_entropy: 2.5862, recall: 0.701, relative_absolute_error: 0.3726, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.8647, usercpu_time_millis: 408.534, usercpu_time_millis_testing: 26.815, usercpu_time_millis_training: 381.719,

Rafael Gomes Mantovani 9 years ago
ran flow classif.ctree(4) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.554, kappa: 0.4653, kb_relative_information_score: 88.7073, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.5381, predictive_accuracy: 0.5825, prior_entropy: 2.5862, recall: 0.5825, relative_absolute_error: 0.5203, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.3231, root_relative_squared_error: 1.0219, usercpu_time_millis: 4.061, usercpu_time_millis_testing: 0.518, usercpu_time_millis_training: 3.543,

Rafael Gomes Mantovani 9 years ago
ran flow classif.glmnet(1) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, f_measure: 0.6545, kappa: 0.5755, kb_relative_information_score: 109.9576, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.6581, predictive_accuracy: 0.6649, prior_entropy: 2.5862, recall: 0.6649, relative_absolute_error: 0.4175, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.9154, usercpu_time_millis: 10.983, usercpu_time_millis_testing: 1.402, usercpu_time_millis_training: 9.581,

Rafael Gomes Mantovani 9 years ago
ran flow classif.kknn(2) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7078, f_measure: 0.5133, kappa: 0.4073, kb_relative_information_score: 79.3104, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.4992, predictive_accuracy: 0.5309, prior_entropy: 2.5862, recall: 0.5309, relative_absolute_error: 0.5845, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.3424, root_relative_squared_error: 1.0832, usercpu_time_millis: 0.475, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 0.015,

Rafael Gomes Mantovani 9 years ago
ran flow classif.naiveBayes(5) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.5896, kappa: 0.5049, kb_relative_information_score: 96.7622, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.5951, predictive_accuracy: 0.6031, prior_entropy: 2.5862, recall: 0.6031, relative_absolute_error: 0.4946, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.315, root_relative_squared_error: 0.9964, usercpu_time_millis: 0.579, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 0.279,

Rafael Gomes Mantovani 9 years ago
ran flow classif.randomForest(42) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.679, kappa: 0.6194, kb_relative_information_score: 114.1873, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.6617, predictive_accuracy: 0.701, prior_entropy: 2.5862, recall: 0.701, relative_absolute_error: 0.3726, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.8647, usercpu_time_millis: 29.946, usercpu_time_millis_testing: 0.617, usercpu_time_millis_training: 29.329,

Rafael Gomes Mantovani 9 years ago
ran flow classif.gbm(3) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.5949, kappa: 0.5137, kb_relative_information_score: 99.9026, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.6202, predictive_accuracy: 0.6186, prior_entropy: 2.5862, recall: 0.6186, relative_absolute_error: 0.4753, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.9768, usercpu_time_millis: 1.835, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 1.646,

Rafael Gomes Mantovani 9 years ago
ran flow classif.multinom(5) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6945, f_measure: 0.5142, kappa: 0.3776, kb_relative_information_score: 75.3513, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.54, predictive_accuracy: 0.4948, prior_entropy: 2.5862, recall: 0.4948, relative_absolute_error: 0.6295, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.3554, root_relative_squared_error: 1.1241, usercpu_time_millis: 9.16, usercpu_time_millis_testing: 0.476, usercpu_time_millis_training: 8.684,

Rafael Gomes Mantovani 9 years ago
ran flow classif.rpart(38) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, f_measure: 0.6072, kappa: 0.5237, kb_relative_information_score: 99.3425, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.6069, predictive_accuracy: 0.6186, prior_entropy: 2.5862, recall: 0.6186, relative_absolute_error: 0.4753, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.9768, usercpu_time_millis: 0.508, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 0.253,

Rafael Gomes Mantovani 9 years ago
ran flow classif.PART(4) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7706, f_measure: 0.6157, kappa: 0.5278, kb_relative_information_score: 100.1028, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.611, predictive_accuracy: 0.6237, prior_entropy: 2.5862, recall: 0.6237, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.9701, usercpu_time_millis: 5.842, usercpu_time_millis_testing: 2.702, usercpu_time_millis_training: 3.14,

Rafael Gomes Mantovani 9 years ago
ran flow classif.randomForestSRC(5) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.7155, kappa: 0.667, kb_relative_information_score: 121.6207, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.6978, predictive_accuracy: 0.7371, prior_entropy: 2.5862, recall: 0.7371, relative_absolute_error: 0.3276, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.8109, usercpu_time_millis: 40.649, usercpu_time_millis_testing: 4.87, usercpu_time_millis_training: 35.779,

Rafael Gomes Mantovani 9 years ago
ran flow classif.svm(5) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.635, f_measure: 0.3857, kappa: 0.2863, kb_relative_information_score: 64.2058, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.5395, predictive_accuracy: 0.4794, prior_entropy: 2.5862, recall: 0.4794, relative_absolute_error: 0.6488, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.3608, root_relative_squared_error: 1.1411, usercpu_time_millis: 0.771, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 0.638,

Rafael Gomes Mantovani 9 years ago
ran flow classif.xgboost(4) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.5917, kappa: 0.5059, kb_relative_information_score: 94.5728, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.5802, predictive_accuracy: 0.6082, prior_entropy: 2.5862, recall: 0.6082, relative_absolute_error: 0.4882, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.313, root_relative_squared_error: 0.9899, usercpu_time_millis: 21.966, usercpu_time_millis_testing: 0.544, usercpu_time_millis_training: 21.422,

William Raynaut 7 years ago
ran flow weka.kf.AttributeSelection-Bes ... aceMissingValues-NaiveBayes(1) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.6538, kappa: 0.5975, kb_relative_information_score: 108.2903, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.642, predictive_accuracy: 0.6804, prior_entropy: 2.5862, recall: 0.6804, relative_absolute_error: 0.4931, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.7566,

William Raynaut 7 years ago
ran flow weka.kf.AdaBoostM1-NaiveBayes(1) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.5519, kappa: 0.4453, kb_relative_information_score: 88.6801, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.5653, predictive_accuracy: 0.5515, prior_entropy: 2.5862, recall: 0.5515, relative_absolute_error: 0.5764, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.9603,

Random Bot 9 years ago
ran flow classif.J48(26) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.5765, kappa: 0.502, kb_relative_information_score: 93.5362, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.5552, predictive_accuracy: 0.6082, prior_entropy: 2.5862, recall: 0.6082, relative_absolute_error: 0.4882, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.313, root_relative_squared_error: 0.9899,

William Raynaut 7 years ago
ran flow weka.kf.AttributeSelection-Ran ... aceMissingValues-NaiveBayes(1) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.6161, kappa: 0.5458, kb_relative_information_score: 99.1719, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.6335, predictive_accuracy: 0.634, prior_entropy: 2.5862, recall: 0.634, relative_absolute_error: 0.5091, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.8632,

Random Bot 9 years ago
ran flow classif.J48(25) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7212, f_measure: 0.5077, kappa: 0.4373, kb_relative_information_score: 85.1451, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.4838, predictive_accuracy: 0.5567, prior_entropy: 2.5862, recall: 0.5567, relative_absolute_error: 0.5524, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.3329, root_relative_squared_error: 1.053,

William Raynaut 7 years ago
ran flow weka.kf.AttributeSelection-Ranker-ReliefF-KStar(1) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.6317, kappa: 0.5421, kb_relative_information_score: 97.3341, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.6324, predictive_accuracy: 0.634, prior_entropy: 2.5862, recall: 0.634, relative_absolute_error: 0.5668, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.8479,

William Raynaut 7 years ago
ran flow weka.kf.AttributeSelection-BestFirst-CfsSubsetEval-KStar(1) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.6682, kappa: 0.5936, kb_relative_information_score: 104.4026, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.6686, predictive_accuracy: 0.6753, prior_entropy: 2.5862, recall: 0.6753, relative_absolute_error: 0.5244, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.7442,

William Raynaut 7 years ago
ran flow weka.kf.Bagging-IBk5(1) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.5849, kappa: 0.4956, kb_relative_information_score: 79.8534, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.5738, predictive_accuracy: 0.6031, prior_entropy: 2.5862, recall: 0.6031, relative_absolute_error: 0.6858, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.2671, root_relative_squared_error: 0.8449,

William Raynaut 7 years ago
ran flow weka.kf.AdaBoostM1-J48(1) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.6461, kappa: 0.5625, kb_relative_information_score: 110.0941, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.6453, predictive_accuracy: 0.6495, prior_entropy: 2.5862, recall: 0.6495, relative_absolute_error: 0.4396, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.8905,

William Raynaut 7 years ago
ran flow weka.kf.AdaBoostM1-IBk5(1) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.5381, kappa: 0.4389, kb_relative_information_score: 34.3161, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.5275, predictive_accuracy: 0.5619, prior_entropy: 2.5862, recall: 0.5619, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.9435,

Jan van Rijn 9 years ago
ran flow weka.MultiSearch_J48(1) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).

Gijs van der Sanden 7 years ago
ran flow weka.J48(41) on task Supervised Classification on data set flags

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)

Gijs van der Sanden 7 years ago
ran flow weka.J48(41) on task Supervised Classification on data set flags

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)

Gijs van der Sanden 7 years ago
ran flow weka.J48(41) on task Supervised Classification on data set flags

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)

Gijs van der Sanden 7 years ago
ran flow weka.J48(41) on task Supervised Classification on data set flags

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)

Gijs van der Sanden 7 years ago
ran flow weka.J48(41) on task Supervised Classification on data set flags

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)

Gijs van der Sanden 7 years ago
ran flow weka.IBk(14) on task Supervised Classification on data set flags

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)

Gijs van der Sanden 7 years ago
ran flow weka.IBk(14) on task Supervised Classification on data set flags

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)

Gijs van der Sanden 7 years ago
ran flow weka.J48(41) on task Supervised Classification on data set flags

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)

Gijs van der Sanden 7 years ago
ran flow weka.J48(41) on task Supervised Classification on data set flags

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)

Gijs van der Sanden 7 years ago
ran flow weka.IBk(14) on task Supervised Classification on data set flags

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)

Gijs van der Sanden 7 years ago
ran flow weka.J48(41) on task Supervised Classification on data set flags

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)

Gijs van der Sanden 7 years ago
ran flow weka.J48(41) on task Supervised Classification on data set flags

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)

Gijs van der Sanden 7 years ago
ran flow weka.J48(41) on task Supervised Classification on data set flags

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)

Gijs van der Sanden 7 years ago
ran flow weka.J48(41) on task Supervised Classification on data set flags

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)

Gijs van der Sanden 7 years ago
ran flow weka.IBk(14) on task Supervised Classification on data set flags

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)

Gijs van der Sanden 7 years ago
ran flow weka.J48(41) on task Supervised Classification on data set flags

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)

Gijs van der Sanden 7 years ago
ran flow weka.RandomForest(15) on task Supervised Classification on data set flags

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)

Gijs van der Sanden 7 years ago
ran flow weka.RandomForest(15) on task Supervised Classification on data set flags

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)

Gijs van der Sanden 7 years ago
ran flow weka.RandomForest(15) on task Supervised Classification on data set flags

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)

Gijs van der Sanden 7 years ago
ran flow weka.RandomForest(15) on task Supervised Classification on data set flags

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)

Gijs van der Sanden 7 years ago
ran flow weka.RandomForest(15) on task Supervised Classification on data set flags

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)

Gijs van der Sanden 7 years ago
ran flow weka.RandomForest(15) on task Supervised Classification on data set flags

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)

Gijs van der Sanden 7 years ago
ran flow weka.RandomForest(15) on task Supervised Classification on data set flags

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)

Gijs van der Sanden 7 years ago
ran flow weka.RandomForest(15) on task Supervised Classification on data set flags

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)

Gijs van der Sanden 7 years ago
ran flow weka.J48(41) on task Supervised Classification on data set flags

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)

Gijs van der Sanden 7 years ago
ran flow weka.J48(41) on task Supervised Classification on data set flags

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)

Gijs van der Sanden 7 years ago
ran flow weka.J48(41) on task Supervised Classification on data set flags

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)

Gijs van der Sanden 7 years ago
ran flow weka.J48(41) on task Supervised Classification on data set flags

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)

Gijs van der Sanden 7 years ago
ran flow weka.RandomForest(15) on task Supervised Classification on data set flags

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)

Gijs van der Sanden 7 years ago
ran flow weka.RandomForest(15) on task Supervised Classification on data set flags

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)

Gijs van der Sanden 7 years ago
ran flow weka.RandomForest(15) on task Supervised Classification on data set flags

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)

Gijs van der Sanden 7 years ago
ran flow weka.RandomForest(15) on task Supervised Classification on data set flags

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)

Gijs van der Sanden 7 years ago
ran flow weka.J48(41) on task Supervised Classification on data set flags

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)

Gijs van der Sanden 7 years ago
ran flow weka.J48(41) on task Supervised Classification on data set flags

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)

Gijs van der Sanden 7 years ago
ran flow weka.RandomForest(15) on task Supervised Classification on data set flags

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)

William Raynaut 7 years ago
ran flow weka.kf.HoeffdingTree(1) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8576, f_measure: 0.6112, kappa: 0.5336, kb_relative_information_score: 98.7471, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.635, predictive_accuracy: 0.6237, prior_entropy: 2.5862, recall: 0.6237, relative_absolute_error: 0.514, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.88,

William Raynaut 7 years ago
ran flow weka.kf.Bagging-HoeffdingTree(1) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.605, kappa: 0.5295, kb_relative_information_score: 98.2812, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.6111, predictive_accuracy: 0.6237, prior_entropy: 2.5862, recall: 0.6237, relative_absolute_error: 0.5467, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.8264,

William Raynaut 7 years ago
ran flow weka.kf.JRip(1) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.5711, kappa: 0.4742, kb_relative_information_score: 81.2536, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.5866, predictive_accuracy: 0.5979, prior_entropy: 2.5862, recall: 0.5979, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.8696,

William Raynaut 7 years ago
ran flow weka.kf.Bagging-JRip(1) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.5955, kappa: 0.5219, kb_relative_information_score: 97.4066, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.5751, predictive_accuracy: 0.6289, prior_entropy: 2.5862, recall: 0.6289, relative_absolute_error: 0.5895, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.7766,

William Raynaut 7 years ago
ran flow weka.kf.AdaBoostM1-HoeffdingTree(1) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.6112, kappa: 0.5336, kb_relative_information_score: 61.7226, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.635, predictive_accuracy: 0.6237, prior_entropy: 2.5862, recall: 0.6237, relative_absolute_error: 0.8324, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.8689,

Fares Gaaloul 5 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, kappa: 0.6074, kb_relative_information_score: 0.482, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.2006, weighted_recall: 0.6907, number_of_instances: 194, predictive_accuracy: 0.6907, prior_entropy: 2.5478, relative_absolute_error: 0.6284, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.2363, root_relative_squared_error: 0.7473, unweighted_recall: 0.435,

Fares Gaaloul 5 years ago
ran flow sklearn.pipeline.Pipeline(feat ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, kappa: 0.1735, kb_relative_information_score: 0.1928, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.2006, weighted_recall: 0.3557, number_of_instances: 194, predictive_accuracy: 0.3557, prior_entropy: 2.5478, relative_absolute_error: 0.9014, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.313, root_relative_squared_error: 0.99, unweighted_recall: 0.2021,

Fares Gaaloul 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... oost.sklearn.XGBClassifier)(1) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, kappa: 0.6293, kb_relative_information_score: 0.5638, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.2006, weighted_recall: 0.7062, number_of_instances: 194, predictive_accuracy: 0.7062, prior_entropy: 2.5478, relative_absolute_error: 0.4804, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.7259, unweighted_recall: 0.4708,

Fares Gaaloul 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(8) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, f_measure: 0.6311, kappa: 0.5439, kb_relative_information_score: 0.5331, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.2006, weighted_recall: 0.6392, number_of_instances: 194, precision: 0.6324, predictive_accuracy: 0.6392, prior_entropy: 2.5478, relative_absolute_error: 0.4496, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.95, unweighted_recall: 0.4201,

Fares Gaaloul 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, kappa: 0.4668, kb_relative_information_score: 0.4147, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.2006, weighted_recall: 0.5825, number_of_instances: 194, predictive_accuracy: 0.5825, prior_entropy: 2.5478, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.8426, unweighted_recall: 0.3699,

Gijs van der Sanden 7 years ago
ran flow weka.J48(41) on task Supervised Classification on data set flags

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)

Gijs van der Sanden 7 years ago
ran flow weka.IBk(14) on task Supervised Classification on data set flags

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)

Gijs van der Sanden 7 years ago
ran flow weka.RandomForest(15) on task Supervised Classification on data set flags

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)

William Raynaut 7 years ago
ran flow weka.kf.ReplaceMissingValues-Standardize-NaiveBayes(1) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.6245, kappa: 0.552, kb_relative_information_score: 100.2565, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.6484, predictive_accuracy: 0.6392, prior_entropy: 2.5862, recall: 0.6392, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.8646,

William Raynaut 7 years ago
ran flow weka.kf.Standardize-J48(1) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.6243, kappa: 0.5451, kb_relative_information_score: 104.5408, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.2006, number_of_instances: 194, precision: 0.6138, predictive_accuracy: 0.6392, prior_entropy: 2.5862, recall: 0.6392, relative_absolute_error: 0.4996, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.8564,

Benjamin Strang 7 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set flags

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, kappa: 0.4992, kb_relative_information_score: 94.4234, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.2006, number_of_instances: 194, predictive_accuracy: 0.6134, prior_entropy: 2.5862, recall: 0.6134, relative_absolute_error: 0.5253, root_mean_prior_squared_error: 0.3162, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.869,

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