OpenML

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.7395, kappa: 0.3545, kb_relative_information_score: 0.2375, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7496, number_of_instances: 27020, precision: 0.7365, predictive_accuracy: 0.7496, prior_entropy: 0.8732, relative_absolute_error: 0.7526, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8729, unweighted_recall: 0.6658,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8757, kappa: 0.697, kb_relative_information_score: 0.5817, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8771, number_of_instances: 27020, precision: 0.8752, predictive_accuracy: 0.8771, prior_entropy: 0.8732, relative_absolute_error: 0.4172, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.6595, unweighted_recall: 0.8408,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8192, f_measure: 0.8495, kappa: 0.6373, kb_relative_information_score: 0.6085, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8494, number_of_instances: 27020, precision: 0.8496, predictive_accuracy: 0.8494, prior_entropy: 0.8732, relative_absolute_error: 0.3632, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.8523, unweighted_recall: 0.8192,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.812, kappa: 0.5421, kb_relative_information_score: -0.2675, mean_absolute_error: 0.4742, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8141, number_of_instances: 27020, precision: 0.8107, predictive_accuracy: 0.8141, prior_entropy: 0.8732, relative_absolute_error: 1.1435, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0463, unweighted_recall: 0.7653,

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: 0.9036, kappa: 0.8996, kb_relative_information_score: 0.9138, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.074, weighted_recall: 0.9035, number_of_instances: 100000, precision: 0.904, predictive_accuracy: 0.9035, prior_entropy: 4.6998, relative_absolute_error: 0.1541, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.3822, unweighted_recall: 0.9032,

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: 0.9972, f_measure: 0.9016, kappa: 0.8976, kb_relative_information_score: 0.9104, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.074, weighted_recall: 0.9016, number_of_instances: 100000, precision: 0.9021, predictive_accuracy: 0.9016, prior_entropy: 4.6998, relative_absolute_error: 0.1607, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.3876, unweighted_recall: 0.9011,

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: 0.9972, f_measure: 0.9029, kappa: 0.899, kb_relative_information_score: 0.9121, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.074, weighted_recall: 0.9029, number_of_instances: 100000, precision: 0.9032, predictive_accuracy: 0.9029, prior_entropy: 4.6998, relative_absolute_error: 0.1569, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0739, root_relative_squared_error: 0.384, unweighted_recall: 0.9025,

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: 0.9054, kappa: 0.9016, kb_relative_information_score: 0.9147, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.074, weighted_recall: 0.9054, number_of_instances: 100000, precision: 0.9057, predictive_accuracy: 0.9054, prior_entropy: 4.6998, relative_absolute_error: 0.1519, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.3784, unweighted_recall: 0.9049,

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: 0.9038, kappa: 0.8999, kb_relative_information_score: 0.9139, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.074, weighted_recall: 0.9038, number_of_instances: 100000, precision: 0.9042, predictive_accuracy: 0.9038, prior_entropy: 4.6998, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0734, root_relative_squared_error: 0.3819, unweighted_recall: 0.9033,

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: 0.9973, f_measure: 0.9031, kappa: 0.8993, kb_relative_information_score: 0.913, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.074, weighted_recall: 0.9032, number_of_instances: 100000, precision: 0.9033, predictive_accuracy: 0.9032, prior_entropy: 4.6998, relative_absolute_error: 0.1569, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.3831, unweighted_recall: 0.9027,

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: 0.9065, kappa: 0.9027, kb_relative_information_score: 0.9157, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.074, weighted_recall: 0.9064, number_of_instances: 100000, precision: 0.907, predictive_accuracy: 0.9064, prior_entropy: 4.6998, relative_absolute_error: 0.1509, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.3775, unweighted_recall: 0.9061,

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: 0.9977, f_measure: 0.9092, kappa: 0.9055, kb_relative_information_score: 0.9189, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.074, weighted_recall: 0.9091, number_of_instances: 100000, precision: 0.9095, predictive_accuracy: 0.9091, prior_entropy: 4.6998, relative_absolute_error: 0.1455, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0716, root_relative_squared_error: 0.3721, unweighted_recall: 0.9087,

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 mnist_784

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.8738, kappa: 0.8598, kb_relative_information_score: 0.8674, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.1799, weighted_recall: 0.8739, number_of_instances: 70000, precision: 0.8738, predictive_accuracy: 0.8739, prior_entropy: 3.3198, relative_absolute_error: 0.1402, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.5295, unweighted_recall: 0.8722,

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