OpenML

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.8469, kappa: 0.6296, kb_relative_information_score: 0.4737, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8475, number_of_instances: 27020, precision: 0.8465, predictive_accuracy: 0.8475, prior_entropy: 0.8732, relative_absolute_error: 0.5235, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.7164, unweighted_recall: 0.8126,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6826, f_measure: 0.748, kappa: 0.381, kb_relative_information_score: 0.3603, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7539, number_of_instances: 27020, precision: 0.745, predictive_accuracy: 0.7539, prior_entropy: 0.8732, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4961, root_relative_squared_error: 1.0895, unweighted_recall: 0.6826,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8498, kappa: 0.6343, kb_relative_information_score: 0.4832, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8513, number_of_instances: 27020, precision: 0.849, predictive_accuracy: 0.8513, prior_entropy: 0.8732, relative_absolute_error: 0.5242, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.7033, unweighted_recall: 0.8109,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.857, kappa: 0.6517, kb_relative_information_score: 0.5609, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8587, number_of_instances: 27020, precision: 0.8563, predictive_accuracy: 0.8587, prior_entropy: 0.8732, relative_absolute_error: 0.4251, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6961, unweighted_recall: 0.8188,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, f_measure: 0.7498, kappa: 0.4444, kb_relative_information_score: 0.3225, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7393, number_of_instances: 27020, precision: 0.7854, predictive_accuracy: 0.7393, prior_entropy: 0.8732, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5105, root_relative_squared_error: 1.1212, unweighted_recall: 0.7514,

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: 0.9009, kappa: 0.8969, kb_relative_information_score: 0.9112, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.074, weighted_recall: 0.9009, number_of_instances: 100000, precision: 0.9014, predictive_accuracy: 0.9009, prior_entropy: 4.6998, relative_absolute_error: 0.1589, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.3859, unweighted_recall: 0.9004,

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: 0.9009, kappa: 0.8969, kb_relative_information_score: 0.9119, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.074, weighted_recall: 0.9009, number_of_instances: 100000, precision: 0.9013, predictive_accuracy: 0.9009, prior_entropy: 4.6998, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.3858, unweighted_recall: 0.9006,

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: 0.9086, kappa: 0.9048, kb_relative_information_score: 0.9181, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.074, weighted_recall: 0.9085, number_of_instances: 100000, precision: 0.9091, predictive_accuracy: 0.9085, prior_entropy: 4.6998, relative_absolute_error: 0.1466, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0719, root_relative_squared_error: 0.374, unweighted_recall: 0.9081,

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: 0.9047, kappa: 0.9009, kb_relative_information_score: 0.9147, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.074, weighted_recall: 0.9047, number_of_instances: 100000, precision: 0.9049, predictive_accuracy: 0.9047, prior_entropy: 4.6998, relative_absolute_error: 0.1519, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.073, root_relative_squared_error: 0.3794, unweighted_recall: 0.9043,

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: 0.9151, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.074, weighted_recall: 0.9045, number_of_instances: 100000, precision: 0.9047, predictive_accuracy: 0.9045, prior_entropy: 4.6998, relative_absolute_error: 0.1514, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.073, root_relative_squared_error: 0.3794, unweighted_recall: 0.9041,

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: 0.904, kappa: 0.9002, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.074, weighted_recall: 0.9041, number_of_instances: 100000, precision: 0.9043, predictive_accuracy: 0.9041, prior_entropy: 4.6998, relative_absolute_error: 0.1561, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.3821, unweighted_recall: 0.9037,

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: 0.9075, kappa: 0.9037, kb_relative_information_score: 0.9154, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.074, weighted_recall: 0.9074, number_of_instances: 100000, precision: 0.9078, predictive_accuracy: 0.9074, prior_entropy: 4.6998, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.3766, unweighted_recall: 0.9071,

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: 0.9971, f_measure: 0.8992, kappa: 0.8951, kb_relative_information_score: 0.9091, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.074, weighted_recall: 0.8991, number_of_instances: 100000, precision: 0.8997, predictive_accuracy: 0.8991, prior_entropy: 4.6998, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.3911, unweighted_recall: 0.8987,

Sign in

Filter results by: