OpenML

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set mfeat-fourier

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.8115, kappa: 0.7922, kb_relative_information_score: 0.7386, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.18, weighted_recall: 0.813, number_of_instances: 2000, precision: 0.812, predictive_accuracy: 0.813, prior_entropy: 3.3219, relative_absolute_error: 0.4237, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.5648, unweighted_recall: 0.813,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9615, kappa: 0.9572, kb_relative_information_score: 0.9579, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.18, weighted_recall: 0.9615, number_of_instances: 2000, precision: 0.9616, predictive_accuracy: 0.9615, prior_entropy: 3.3219, relative_absolute_error: 0.0626, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.2571, unweighted_recall: 0.9615,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.8268, kappa: 0.7371, kb_relative_information_score: 0.749, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.3798, weighted_recall: 0.8576, number_of_instances: 625, precision: 0.8136, predictive_accuracy: 0.8576, prior_entropy: 1.3181, relative_absolute_error: 0.2705, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.4945, unweighted_recall: 0.626,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set breast-w

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9657, kappa: 0.924, kb_relative_information_score: 0.8964, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9657, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9293, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.3469, unweighted_recall: 0.962,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(25) on task Supervised Classification on data set mnist_784

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8577, kappa: 0.8419, kb_relative_information_score: 0.8505, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.1799, weighted_recall: 0.8578, number_of_instances: 350000, precision: 0.8576, predictive_accuracy: 0.8578, prior_entropy: 3.3198, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.5622, unweighted_recall: 0.8559,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.8516, kappa: 0.835, kb_relative_information_score: 0.8447, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.18, weighted_recall: 0.8515, number_of_instances: 10000, precision: 0.852, predictive_accuracy: 0.8515, prior_entropy: 3.3219, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.5745, unweighted_recall: 0.8515,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8822, kappa: 0.8691, kb_relative_information_score: 0.8769, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.18, weighted_recall: 0.8822, number_of_instances: 28100, precision: 0.8823, predictive_accuracy: 0.8822, prior_entropy: 3.3218, relative_absolute_error: 0.1309, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.5116, unweighted_recall: 0.8823,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.711, kappa: 0.6788, kb_relative_information_score: 0.6977, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.18, weighted_recall: 0.7109, number_of_instances: 10000, precision: 0.7113, predictive_accuracy: 0.7109, prior_entropy: 3.3219, relative_absolute_error: 0.3212, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.8015, unweighted_recall: 0.7109,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9492, kappa: 0.9435, kb_relative_information_score: 0.9469, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.18, weighted_recall: 0.9491, number_of_instances: 54960, precision: 0.9492, predictive_accuracy: 0.9491, prior_entropy: 3.3208, relative_absolute_error: 0.0565, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1009, root_relative_squared_error: 0.3362, unweighted_recall: 0.9493,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6654, f_measure: 0.6955, kappa: 0.3304, kb_relative_information_score: 0.3021, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6953, number_of_instances: 3840, precision: 0.6957, predictive_accuracy: 0.6953, prior_entropy: 0.9331, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.552, root_relative_squared_error: 1.1581, unweighted_recall: 0.6654,

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 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 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 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 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 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 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 ... oosting.AdaBoostClassifier)(2) on task Supervised Classification on data set letter