OpenML

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.8841, kappa: 0.7201, kb_relative_information_score: 0.6198, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8842, number_of_instances: 27020, precision: 0.8839, predictive_accuracy: 0.8842, prior_entropy: 0.8732, relative_absolute_error: 0.3794, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.6411, unweighted_recall: 0.8591,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... est.RandomForestClassifier)(3) on task Supervised Classification on data set phoneme

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.8907, kappa: 0.7353, kb_relative_information_score: 0.5844, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8913, number_of_instances: 27020, precision: 0.8904, predictive_accuracy: 0.8913, prior_entropy: 0.8732, relative_absolute_error: 0.4278, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2831, root_relative_squared_error: 0.6217, unweighted_recall: 0.8641,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... lasses.ExtraTreeClassifier)(1) on task Supervised Classification on data set phoneme

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.8339, kappa: 0.5997, kb_relative_information_score: 0.5679, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8338, number_of_instances: 27020, precision: 0.834, predictive_accuracy: 0.8338, prior_entropy: 0.8732, relative_absolute_error: 0.4009, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8954, unweighted_recall: 0.8003,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... sklearn.svm._classes.NuSVC)(2) on task Supervised Classification on data set phoneme

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7654, f_measure: 0.8023, kappa: 0.5256, kb_relative_information_score: 0.4835, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8013, number_of_instances: 27020, precision: 0.8034, predictive_accuracy: 0.8013, prior_entropy: 0.8732, relative_absolute_error: 0.4791, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.9789, unweighted_recall: 0.7654,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... arn.svm._classes.LinearSVC)(2) on task Supervised Classification on data set phoneme

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6669, f_measure: 0.741, kappa: 0.3577, kb_relative_information_score: 0.3537, mean_absolute_error: 0.2486, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7514, number_of_instances: 27020, precision: 0.7382, predictive_accuracy: 0.7514, prior_entropy: 0.8732, relative_absolute_error: 0.5995, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.095, unweighted_recall: 0.6669,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... r=sklearn.svm._classes.SVC)(2) on task Supervised Classification on data set phoneme

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.8387, kappa: 0.6107, kb_relative_information_score: 0.5811, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8388, number_of_instances: 27020, precision: 0.8386, predictive_accuracy: 0.8388, prior_entropy: 0.8732, relative_absolute_error: 0.3886, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8817, unweighted_recall: 0.8048,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... opagation.LabelPropagation)(1) on task Supervised Classification on data set phoneme

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.8801, kappa: 0.7082, kb_relative_information_score: 0.6297, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8813, number_of_instances: 27020, precision: 0.8796, predictive_accuracy: 0.8813, prior_entropy: 0.8732, relative_absolute_error: 0.3641, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.6638, unweighted_recall: 0.8475,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... rn.naive_bayes.BernoulliNB)(1) on task Supervised Classification on data set phoneme

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8157, f_measure: 0.7516, kappa: 0.3924, kb_relative_information_score: 0.2753, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7558, number_of_instances: 27020, precision: 0.749, predictive_accuracy: 0.7558, prior_entropy: 0.8732, relative_absolute_error: 0.6999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.88, unweighted_recall: 0.6902,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... r_perceptron.MLPClassifier)(2) on task Supervised Classification on data set letter

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9041, kappa: 0.9002, kb_relative_information_score: 0.9143, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.074, weighted_recall: 0.9041, number_of_instances: 100000, precision: 0.9046, predictive_accuracy: 0.9041, prior_entropy: 4.6998, relative_absolute_error: 0.1519, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.3805, unweighted_recall: 0.9036,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... r_perceptron.MLPClassifier)(3) on task Supervised Classification on data set letter

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9019, kappa: 0.8978, kb_relative_information_score: 0.9114, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.074, weighted_recall: 0.9017, number_of_instances: 100000, precision: 0.9026, predictive_accuracy: 0.9017, prior_entropy: 4.6998, relative_absolute_error: 0.1575, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0743, root_relative_squared_error: 0.3861, unweighted_recall: 0.9013,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... r_perceptron.MLPClassifier)(3) on task Supervised Classification on data set letter

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9007, kappa: 0.8966, kb_relative_information_score: 0.9108, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.074, weighted_recall: 0.9006, number_of_instances: 100000, precision: 0.901, predictive_accuracy: 0.9006, prior_entropy: 4.6998, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.3869, unweighted_recall: 0.9002,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... r_perceptron.MLPClassifier)(3) on task Supervised Classification on data set letter

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9084, kappa: 0.9047, kb_relative_information_score: 0.9176, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.074, weighted_recall: 0.9083, number_of_instances: 100000, precision: 0.9089, predictive_accuracy: 0.9083, prior_entropy: 4.6998, relative_absolute_error: 0.1476, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0718, root_relative_squared_error: 0.3732, unweighted_recall: 0.9079,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... r_perceptron.MLPClassifier)(2) on task Supervised Classification on data set letter

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9045, kappa: 0.9007, kb_relative_information_score: 0.9139, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.074, weighted_recall: 0.9045, number_of_instances: 100000, precision: 0.9048, predictive_accuracy: 0.9045, prior_entropy: 4.6998, relative_absolute_error: 0.1541, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0733, root_relative_squared_error: 0.381, unweighted_recall: 0.904,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... r_perceptron.MLPClassifier)(3) on task Supervised Classification on data set letter

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9067, kappa: 0.9028, kb_relative_information_score: 0.9154, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.074, weighted_recall: 0.9066, number_of_instances: 100000, precision: 0.9072, predictive_accuracy: 0.9066, prior_entropy: 4.6998, relative_absolute_error: 0.1516, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0729, root_relative_squared_error: 0.379, unweighted_recall: 0.9063,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... r_perceptron.MLPClassifier)(3) on task Supervised Classification on data set letter

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9084, kappa: 0.9047, kb_relative_information_score: 0.9178, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.074, weighted_recall: 0.9084, number_of_instances: 100000, precision: 0.9088, predictive_accuracy: 0.9084, prior_entropy: 4.6998, relative_absolute_error: 0.1472, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0718, root_relative_squared_error: 0.3736, unweighted_recall: 0.9079,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9885, kappa: 0.9873, kb_relative_information_score: 0.988, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.18, weighted_recall: 0.9885, number_of_instances: 10992, precision: 0.9885, predictive_accuracy: 0.9885, prior_entropy: 3.3208, relative_absolute_error: 0.0163, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0433, root_relative_squared_error: 0.1445, unweighted_recall: 0.9885,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(24) on task Supervised Classification on data set mnist_784

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8754, kappa: 0.8616, kb_relative_information_score: 0.8691, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.1799, weighted_recall: 0.8755, number_of_instances: 70000, precision: 0.8754, predictive_accuracy: 0.8755, prior_entropy: 3.3198, relative_absolute_error: 0.1384, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.5261, unweighted_recall: 0.8738,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(24) on task Supervised Classification on data set pendigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.962, kappa: 0.9577, kb_relative_information_score: 0.9602, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, weighted_recall: 0.962, number_of_instances: 10992, precision: 0.962, predictive_accuracy: 0.962, prior_entropy: 3.3208, relative_absolute_error: 0.0423, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0872, root_relative_squared_error: 0.2907, unweighted_recall: 0.9619,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(24) on task Supervised Classification on data set pendigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9632, kappa: 0.9591, kb_relative_information_score: 0.9615, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.18, weighted_recall: 0.9632, number_of_instances: 10992, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 3.3208, relative_absolute_error: 0.0409, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.2862, unweighted_recall: 0.9631,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... arn.svm._classes.LinearSVC)(1) on task Supervised Classification on data set pendigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8696, kappa: 0.8558, kb_relative_information_score: 0.8643, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.18, weighted_recall: 0.8702, number_of_instances: 10992, precision: 0.8721, predictive_accuracy: 0.8702, prior_entropy: 3.3208, relative_absolute_error: 0.1443, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.5372, unweighted_recall: 0.8704,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... arn.svm._classes.LinearSVC)(1) on task Supervised Classification on data set pendigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8672, kappa: 0.8507, kb_relative_information_score: 0.8593, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.18, weighted_recall: 0.8656, number_of_instances: 10992, precision: 0.8712, predictive_accuracy: 0.8656, prior_entropy: 3.3208, relative_absolute_error: 0.1493, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.5465, unweighted_recall: 0.8652,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(24) on task Supervised Classification on data set wilt

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.9785, kappa: 0.788, kb_relative_information_score: 0.6987, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9787, number_of_instances: 4839, precision: 0.9784, predictive_accuracy: 0.9787, prior_entropy: 0.3029, relative_absolute_error: 0.2082, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.6459, unweighted_recall: 0.8876,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(24) on task Supervised Classification on data set pendigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9631, kappa: 0.959, kb_relative_information_score: 0.9614, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.18, weighted_recall: 0.9631, number_of_instances: 10992, precision: 0.9631, predictive_accuracy: 0.9631, prior_entropy: 3.3208, relative_absolute_error: 0.041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.2865, unweighted_recall: 0.963,

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