OpenML

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8595, kappa: 0.8438, kb_relative_information_score: 0.853, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.18, weighted_recall: 0.8594, number_of_instances: 10000, precision: 0.8598, predictive_accuracy: 0.8594, prior_entropy: 3.3219, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.559, unweighted_recall: 0.8594,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(25) on task Supervised Classification on data set balance-scale

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7914, kappa: 0.6215, kb_relative_information_score: 0.5705, mean_absolute_error: 0.1463, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7805, number_of_instances: 3125, precision: 0.8029, predictive_accuracy: 0.7805, prior_entropy: 1.3181, relative_absolute_error: 0.3854, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.8783, unweighted_recall: 0.5906,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(25) on task Supervised Classification on data set letter

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8466, kappa: 0.8402, kb_relative_information_score: 0.8445, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.074, weighted_recall: 0.8464, number_of_instances: 100000, precision: 0.8468, predictive_accuracy: 0.8464, prior_entropy: 4.6998, relative_absolute_error: 0.1598, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.5653, unweighted_recall: 0.8461,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(25) on task Supervised Classification on data set mfeat-factors

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.8616, kappa: 0.8463, kb_relative_information_score: 0.8554, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.18, weighted_recall: 0.8617, number_of_instances: 10000, precision: 0.8618, predictive_accuracy: 0.8617, prior_entropy: 3.3219, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.5544, unweighted_recall: 0.8617,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(25) on task Supervised Classification on data set balance-scale

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.7955, kappa: 0.6294, kb_relative_information_score: 0.5782, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7853, number_of_instances: 3125, precision: 0.8064, predictive_accuracy: 0.7853, prior_entropy: 1.3181, relative_absolute_error: 0.3769, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.8686, unweighted_recall: 0.5952,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(25) on task Supervised Classification on data set letter

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8468, kappa: 0.8405, kb_relative_information_score: 0.8447, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.074, weighted_recall: 0.8467, number_of_instances: 100000, precision: 0.8471, predictive_accuracy: 0.8467, prior_entropy: 4.6998, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.5647, unweighted_recall: 0.8464,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(25) on task Supervised Classification on data set higgs

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6232, f_measure: 0.6245, kappa: 0.2465, kb_relative_information_score: 0.2453, mean_absolute_error: 0.3756, mean_prior_absolute_error: 0.4984, weighted_recall: 0.6244, number_of_instances: 490250, precision: 0.6245, predictive_accuracy: 0.6244, prior_entropy: 0.9976, relative_absolute_error: 0.7536, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6128, root_relative_squared_error: 1.2277, unweighted_recall: 0.6232,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(25) on task Supervised Classification on data set connect-4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.7166, kappa: 0.4292, kb_relative_information_score: 0.3931, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.3313, weighted_recall: 0.7162, number_of_instances: 337785, precision: 0.7171, predictive_accuracy: 0.7162, prior_entropy: 1.2184, relative_absolute_error: 0.5712, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.435, root_relative_squared_error: 1.0689, unweighted_recall: 0.5541,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(25) on task Supervised Classification on data set texture

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.9108, kappa: 0.9018, kb_relative_information_score: 0.9071, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9107, number_of_instances: 27500, precision: 0.9109, predictive_accuracy: 0.9107, prior_entropy: 3.4594, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.4433, unweighted_recall: 0.9107,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(25) on task Supervised Classification on data set LED-display-domain-7digit

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.688, kappa: 0.6539, kb_relative_information_score: 0.6744, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1797, weighted_recall: 0.6888, number_of_instances: 2500, precision: 0.6897, predictive_accuracy: 0.6888, prior_entropy: 3.3123, relative_absolute_error: 0.4139, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.7584, unweighted_recall: 0.6898,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(25) on task Supervised Classification on data set Amazon_employee_access

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, f_measure: 0.9229, kappa: 0.3156, kb_relative_information_score: -0.0458, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9205, number_of_instances: 163845, precision: 0.9255, predictive_accuracy: 0.9205, prior_entropy: 0.319, relative_absolute_error: 0.7288, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.282, root_relative_squared_error: 1.2074, unweighted_recall: 0.6681,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(25) on task Supervised Classification on data set PhishingWebsites

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.9522, kappa: 0.9032, kb_relative_information_score: 0.9032, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9522, number_of_instances: 55275, precision: 0.9522, predictive_accuracy: 0.9522, prior_entropy: 0.9906, relative_absolute_error: 0.0964, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.413, unweighted_recall: 0.9518,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(25) on task Supervised Classification on data set har

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.918, kappa: 0.9014, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.2771, weighted_recall: 0.918, number_of_instances: 51495, precision: 0.918, predictive_accuracy: 0.918, prior_entropy: 2.5759, relative_absolute_error: 0.0986, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.4441, unweighted_recall: 0.9164,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(25) on task Supervised Classification on data set GesturePhaseSegmentationProcessed

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.4834, kappa: 0.3256, kb_relative_information_score: 0.3728, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4824, number_of_instances: 49365, precision: 0.4845, predictive_accuracy: 0.4824, prior_entropy: 2.1934, relative_absolute_error: 0.6755, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.455, root_relative_squared_error: 1.1623, unweighted_recall: 0.4416,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(25) on task Supervised Classification on data set Bioresponse

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7084, f_measure: 0.7109, kappa: 0.4173, kb_relative_information_score: 0.4162, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7111, number_of_instances: 18755, precision: 0.7108, predictive_accuracy: 0.7111, prior_entropy: 0.9948, relative_absolute_error: 0.5819, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5375, root_relative_squared_error: 1.0788, unweighted_recall: 0.7084,

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