OpenML

Gabriel Ferrettini 5 years ago
ran flow weka.kf.Bagging-JRip(1) on task Supervised Classification on data set regime_alimentaire

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.9293, kappa: 0.7777, kb_relative_information_score: 0.6905, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.3253, number_of_instances: 202, precision: 0.9291, predictive_accuracy: 0.9307, prior_entropy: 0.7279, recall: 0.9307, relative_absolute_error: 0.2929, root_mean_prior_squared_error: 0.4022, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.559,

Gabriel Ferrettini 5 years ago
ran flow weka.kf.Bagging-HoeffdingTree(1) on task Supervised Classification on data set regime_alimentaire

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8676, kappa: 0.6137, kb_relative_information_score: 0.4745, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.3253, number_of_instances: 202, precision: 0.8806, predictive_accuracy: 0.8614, prior_entropy: 0.7279, recall: 0.8614, relative_absolute_error: 0.4463, root_mean_prior_squared_error: 0.4022, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.814,

Gabriel Ferrettini 5 years ago
ran flow weka.kf.AdaBoostM1-HoeffdingTree(1) on task Supervised Classification on data set regime_alimentaire

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.8443, kappa: 0.5124, kb_relative_information_score: 0.489, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.3253, number_of_instances: 202, precision: 0.8426, predictive_accuracy: 0.8465, prior_entropy: 0.7279, recall: 0.8465, relative_absolute_error: 0.4385, root_mean_prior_squared_error: 0.4022, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.82,

Gabriel Ferrettini 5 years ago
ran flow weka.kf.AttributeSelection-Ranker-InfoGain-SMO(1) on task Supervised Classification on data set regime_alimentaire

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.8865, kappa: 0.637, kb_relative_information_score: 0.6091, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.3253, number_of_instances: 202, precision: 0.8862, predictive_accuracy: 0.8911, prior_entropy: 0.7279, recall: 0.8911, relative_absolute_error: 0.3348, root_mean_prior_squared_error: 0.4022, root_mean_squared_error: 0.33, root_relative_squared_error: 0.8205,

Gabriel Ferrettini 5 years ago
ran flow weka.kf.AttributeSelection-Ran ... er-ReliefF-Standardize-IBk5(1) on task Supervised Classification on data set regime_alimentaire

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.837, kappa: 0.4629, kb_relative_information_score: 0.3798, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.3253, number_of_instances: 202, precision: 0.8396, predictive_accuracy: 0.8515, prior_entropy: 0.7279, recall: 0.8515, relative_absolute_error: 0.5865, root_mean_prior_squared_error: 0.4022, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.8247,

Gabriel Ferrettini 5 years ago
ran flow weka.kf.ReplaceMissingValues-J48(1) on task Supervised Classification on data set regime_alimentaire

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.9169, kappa: 0.7468, kb_relative_information_score: 0.6629, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.3253, number_of_instances: 202, precision: 0.9186, predictive_accuracy: 0.9158, prior_entropy: 0.7279, recall: 0.9158, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.4022, root_mean_squared_error: 0.2744, root_relative_squared_error: 0.6823,

Gabriel Ferrettini 5 years ago
ran flow weka.kf.AdaBoostM1-SMO(1) on task Supervised Classification on data set regime_alimentaire

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.8192, kappa: 0.4489, kb_relative_information_score: 0.3522, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.3253, number_of_instances: 202, precision: 0.822, predictive_accuracy: 0.8168, prior_entropy: 0.7279, recall: 0.8168, relative_absolute_error: 0.5634, root_mean_prior_squared_error: 0.4022, root_mean_squared_error: 0.4128, root_relative_squared_error: 1.0264,

Gabriel Ferrettini 5 years ago
ran flow weka.kf.AttributeSelection-Bes ... SubsetEval-Standardize-IBk5(1) on task Supervised Classification on data set regime_alimentaire

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.8845, kappa: 0.6382, kb_relative_information_score: 0.5265, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.3253, number_of_instances: 202, precision: 0.8834, predictive_accuracy: 0.8861, prior_entropy: 0.7279, recall: 0.8861, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.4022, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.6891,

Gabriel Ferrettini 5 years ago
ran flow weka.kf.AttributeSelection-BestFirst-CfsSubsetEval-SMO(1) on task Supervised Classification on data set regime_alimentaire

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.8945, kappa: 0.6697, kb_relative_information_score: 0.6268, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.3253, number_of_instances: 202, precision: 0.8936, predictive_accuracy: 0.896, prior_entropy: 0.7279, recall: 0.896, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.4022, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.8016,

Gabriel Ferrettini 5 years ago
ran flow weka.kf.AttributeSelection-Ran ... aceMissingValues-NaiveBayes(1) on task Supervised Classification on data set regime_alimentaire

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8821, kappa: 0.6579, kb_relative_information_score: 0.5184, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.3253, number_of_instances: 202, precision: 0.8963, predictive_accuracy: 0.8762, prior_entropy: 0.7279, recall: 0.8762, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.4022, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.8002,

Gabriel Ferrettini 5 years ago
ran flow weka.kf.AttributeSelection-Ranker-ReliefF-SMO(1) on task Supervised Classification on data set regime_alimentaire

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7705, f_measure: 0.8515, kappa: 0.541, kb_relative_information_score: 0.4669, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.3253, number_of_instances: 202, precision: 0.8515, predictive_accuracy: 0.8515, prior_entropy: 0.7279, recall: 0.8515, relative_absolute_error: 0.4566, root_mean_prior_squared_error: 0.4022, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.9581,

Gabriel Ferrettini 5 years ago
ran flow weka.kf.RandomForest(1) on task Supervised Classification on data set regime_alimentaire

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.9429, kappa: 0.8167, kb_relative_information_score: 0.5225, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.3253, number_of_instances: 202, precision: 0.9468, predictive_accuracy: 0.9455, prior_entropy: 0.7279, recall: 0.9455, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.4022, root_mean_squared_error: 0.2464, root_relative_squared_error: 0.6127,

Gabriel Ferrettini 5 years ago
ran flow weka.kf.AttributeSelection-Ran ... r-InfoGain-Standardize-IBk5(1) on task Supervised Classification on data set regime_alimentaire

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8776, kappa: 0.6116, kb_relative_information_score: 0.5203, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.3253, number_of_instances: 202, precision: 0.8762, predictive_accuracy: 0.8812, prior_entropy: 0.7279, recall: 0.8812, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4022, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.7193,

Gabriel Ferrettini 5 years ago
ran flow weka.kf.Bagging-NaiveBayes(1) on task Supervised Classification on data set regime_alimentaire

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.8676, kappa: 0.6137, kb_relative_information_score: 0.4741, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.3253, number_of_instances: 202, precision: 0.8806, predictive_accuracy: 0.8614, prior_entropy: 0.7279, recall: 0.8614, relative_absolute_error: 0.4468, root_mean_prior_squared_error: 0.4022, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.8148,

Gabriel Ferrettini 5 years ago
ran flow weka.kf.Standardize-J48(1) on task Supervised Classification on data set regime_alimentaire

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.9169, kappa: 0.7468, kb_relative_information_score: 0.6629, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.3253, number_of_instances: 202, precision: 0.9186, predictive_accuracy: 0.9158, prior_entropy: 0.7279, recall: 0.9158, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.4022, root_mean_squared_error: 0.2744, root_relative_squared_error: 0.6823,

Gabriel Ferrettini 5 years ago
ran flow weka.kf.RandomSubspace(1) on task Supervised Classification on data set regime_alimentaire

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.9036, kappa: 0.6954, kb_relative_information_score: 0.49, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.3253, number_of_instances: 202, precision: 0.9029, predictive_accuracy: 0.9059, prior_entropy: 0.7279, recall: 0.9059, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.4022, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.6494,

Gabriel Ferrettini 5 years ago
ran flow weka.kf.Bagging-SMO(1) on task Supervised Classification on data set regime_alimentaire

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8556, kappa: 0.538, kb_relative_information_score: 0.4253, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.3253, number_of_instances: 202, precision: 0.8536, predictive_accuracy: 0.8614, prior_entropy: 0.7279, recall: 0.8614, relative_absolute_error: 0.5129, root_mean_prior_squared_error: 0.4022, root_mean_squared_error: 0.3121, root_relative_squared_error: 0.7758,

Gabriel Ferrettini 5 years ago
ran flow weka.kf.Bagging-J48(1) on task Supervised Classification on data set regime_alimentaire

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.9162, kappa: 0.7422, kb_relative_information_score: 0.6453, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.3253, number_of_instances: 202, precision: 0.9167, predictive_accuracy: 0.9158, prior_entropy: 0.7279, recall: 0.9158, relative_absolute_error: 0.3398, root_mean_prior_squared_error: 0.4022, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.5553,

Gabriel Ferrettini 5 years ago
ran flow weka.kf.AttributeSelection-BestFirst-CfsSubsetEval-KStar(1) on task Supervised Classification on data set regime_alimentaire

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.9286, kappa: 0.7734, kb_relative_information_score: 0.6418, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.3253, number_of_instances: 202, precision: 0.9291, predictive_accuracy: 0.9307, prior_entropy: 0.7279, recall: 0.9307, relative_absolute_error: 0.3425, root_mean_prior_squared_error: 0.4022, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.6095,

Gabriel Ferrettini 5 years ago
ran flow weka.kf.AdaBoostM1-NaiveBayes(1) on task Supervised Classification on data set regime_alimentaire

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8807, kappa: 0.6167, kb_relative_information_score: 0.5843, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.3253, number_of_instances: 202, precision: 0.8806, predictive_accuracy: 0.8861, prior_entropy: 0.7279, recall: 0.8861, relative_absolute_error: 0.3635, root_mean_prior_squared_error: 0.4022, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.7771,

Gabriel Ferrettini 5 years ago
ran flow weka.kf.AdaBoostM1-J48(1) on task Supervised Classification on data set regime_alimentaire

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9509, kappa: 0.8497, kb_relative_information_score: 0.8312, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.3253, number_of_instances: 202, precision: 0.9516, predictive_accuracy: 0.9505, prior_entropy: 0.7279, recall: 0.9505, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.4022, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.5311,

Gabriel Ferrettini 5 years ago
ran flow weka.kf.JRip(1) on task Supervised Classification on data set regime_alimentaire

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.9169, kappa: 0.7468, kb_relative_information_score: 0.6511, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.3253, number_of_instances: 202, precision: 0.9186, predictive_accuracy: 0.9158, prior_entropy: 0.7279, recall: 0.9158, relative_absolute_error: 0.3269, root_mean_prior_squared_error: 0.4022, root_mean_squared_error: 0.2794, root_relative_squared_error: 0.6946,

Gabriel Ferrettini 5 years ago
ran flow weka.kf.ReplaceMissingValues-Standardize-NaiveBayes(1) on task Supervised Classification on data set regime_alimentaire

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.8554, kappa: 0.5892, kb_relative_information_score: 0.4696, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.3253, number_of_instances: 202, precision: 0.8773, predictive_accuracy: 0.8465, prior_entropy: 0.7279, recall: 0.8465, relative_absolute_error: 0.452, root_mean_prior_squared_error: 0.4022, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.8536,

Gabriel Ferrettini 5 years ago
ran flow weka.kf.Bagging-IBk5(1) on task Supervised Classification on data set regime_alimentaire

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.8456, kappa: 0.4878, kb_relative_information_score: 0.3356, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.3253, number_of_instances: 202, precision: 0.8535, predictive_accuracy: 0.8614, prior_entropy: 0.7279, recall: 0.8614, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.4022, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.8188,

Gabriel Ferrettini 5 years ago
ran flow weka.kf.AttributeSelection-Ranker-ReliefF-KStar(1) on task Supervised Classification on data set regime_alimentaire

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8935, kappa: 0.6634, kb_relative_information_score: 0.57, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.3253, number_of_instances: 202, precision: 0.8925, predictive_accuracy: 0.896, prior_entropy: 0.7279, recall: 0.896, relative_absolute_error: 0.3743, root_mean_prior_squared_error: 0.4022, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.7164,

Gabriel Ferrettini 5 years ago
ran flow weka.kf.HoeffdingTree(1) on task Supervised Classification on data set regime_alimentaire

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.8554, kappa: 0.5892, kb_relative_information_score: 0.4715, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.3253, number_of_instances: 202, precision: 0.8773, predictive_accuracy: 0.8465, prior_entropy: 0.7279, recall: 0.8465, relative_absolute_error: 0.4513, root_mean_prior_squared_error: 0.4022, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.8531,

Gabriel Ferrettini 5 years ago
ran flow weka.kf.ZeroR(1) on task Supervised Classification on data set regime_alimentaire

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4863, kb_relative_information_score: -0.0035, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.3253, number_of_instances: 202, predictive_accuracy: 0.797, prior_entropy: 0.7279, recall: 0.797, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4022, root_mean_squared_error: 0.4023, root_relative_squared_error: 1.0001,

Gabriel Ferrettini 5 years ago
ran flow weka.kf.AttributeSelection-Ran ... aceMissingValues-NaiveBayes(1) on task Supervised Classification on data set regime_alimentaire

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8791, kappa: 0.6581, kb_relative_information_score: 0.4778, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.3253, number_of_instances: 202, precision: 0.902, predictive_accuracy: 0.8713, prior_entropy: 0.7279, recall: 0.8713, relative_absolute_error: 0.4537, root_mean_prior_squared_error: 0.4022, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.8024,

Gabriel Ferrettini 5 years ago
ran flow weka.kf.AttributeSelection-Bes ... aceMissingValues-NaiveBayes(1) on task Supervised Classification on data set regime_alimentaire

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.9015, kappa: 0.7172, kb_relative_information_score: 0.5732, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.3253, number_of_instances: 202, precision: 0.9184, predictive_accuracy: 0.896, prior_entropy: 0.7279, recall: 0.896, relative_absolute_error: 0.3809, root_mean_prior_squared_error: 0.4022, root_mean_squared_error: 0.2817, root_relative_squared_error: 0.7002,

Gabriel Ferrettini 5 years ago
ran flow weka.kf.AdaBoostM1-IBk5(1) on task Supervised Classification on data set regime_alimentaire

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7471, f_measure: 0.8164, kappa: 0.4174, kb_relative_information_score: 0.2246, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.3253, number_of_instances: 202, precision: 0.8128, predictive_accuracy: 0.8218, prior_entropy: 0.7279, recall: 0.8218, relative_absolute_error: 0.6412, root_mean_prior_squared_error: 0.4022, root_mean_squared_error: 0.3858, root_relative_squared_error: 0.9591,

Gabriel Ferrettini 5 years ago
ran flow weka.kf.ReplaceMissingValues-PKIDiscretize-NaiveBayes(1) on task Supervised Classification on data set regime_alimentaire

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8777, kappa: 0.6471, kb_relative_information_score: 0.51, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.3253, number_of_instances: 202, precision: 0.8937, predictive_accuracy: 0.8713, prior_entropy: 0.7279, recall: 0.8713, relative_absolute_error: 0.4222, root_mean_prior_squared_error: 0.4022, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.7872,

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