OpenML

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.8112, kappa: 0.7919, kb_relative_information_score: 0.7866, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.1799, weighted_recall: 0.8128, number_of_instances: 350000, precision: 0.8108, predictive_accuracy: 0.8128, prior_entropy: 3.3198, relative_absolute_error: 0.3099, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.5594, unweighted_recall: 0.81,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9632, kappa: 0.9571, kb_relative_information_score: 0.9603, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.2449, weighted_recall: 0.9632, number_of_instances: 2310, precision: 0.9633, predictive_accuracy: 0.9632, prior_entropy: 2.8074, relative_absolute_error: 0.0429, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.293, unweighted_recall: 0.9632,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9645, kappa: 0.9586, kb_relative_information_score: 0.9617, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.2449, weighted_recall: 0.9645, number_of_instances: 2310, precision: 0.9644, predictive_accuracy: 0.9645, prior_entropy: 2.8074, relative_absolute_error: 0.0414, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.2878, unweighted_recall: 0.9645,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.9242, kappa: 0.8416, kb_relative_information_score: 0.8377, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9241, number_of_instances: 4601, precision: 0.9244, predictive_accuracy: 0.9241, prior_entropy: 0.9674, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.5634, unweighted_recall: 0.922,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9632, kappa: 0.9571, kb_relative_information_score: 0.9603, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.2449, weighted_recall: 0.9632, number_of_instances: 2310, precision: 0.9633, predictive_accuracy: 0.9632, prior_entropy: 2.8074, relative_absolute_error: 0.0429, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.293, unweighted_recall: 0.9632,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.9082, kappa: 0.8991, kb_relative_information_score: 0.9055, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.18, weighted_recall: 0.9092, number_of_instances: 10992, precision: 0.9123, predictive_accuracy: 0.9092, prior_entropy: 3.3208, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.4492, unweighted_recall: 0.9105,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9924, kappa: 0.9916, kb_relative_information_score: 0.9924, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.18, weighted_recall: 0.9924, number_of_instances: 10992, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 3.3208, relative_absolute_error: 0.0121, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.115, unweighted_recall: 0.9925,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9408, kappa: 0.9313, kb_relative_information_score: 0.94, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.2449, weighted_recall: 0.9411, number_of_instances: 2310, precision: 0.9416, predictive_accuracy: 0.9411, prior_entropy: 2.8074, relative_absolute_error: 0.0874, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.3032, unweighted_recall: 0.9411,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.8053, kappa: 0.5915, kb_relative_information_score: 0.5074, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8057, number_of_instances: 4601, precision: 0.805, predictive_accuracy: 0.8057, prior_entropy: 0.9674, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.7617, unweighted_recall: 0.7946,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.9046, kappa: 0.8884, kb_relative_information_score: 0.8968, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.2449, weighted_recall: 0.9043, number_of_instances: 2310, precision: 0.9054, predictive_accuracy: 0.9043, prior_entropy: 2.8074, relative_absolute_error: 0.1116, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.4725, unweighted_recall: 0.9043,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.85, kappa: 0.6841, kb_relative_information_score: 0.682, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8511, number_of_instances: 4601, precision: 0.8504, predictive_accuracy: 0.8511, prior_entropy: 0.9674, relative_absolute_error: 0.3118, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7896, unweighted_recall: 0.8376,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.8803, kappa: 0.8754, kb_relative_information_score: 0.8787, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.074, weighted_recall: 0.8802, number_of_instances: 20000, precision: 0.8806, predictive_accuracy: 0.8802, prior_entropy: 4.6998, relative_absolute_error: 0.1246, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.096, root_relative_squared_error: 0.4992, unweighted_recall: 0.8799,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7913, kappa: 0.614, kb_relative_information_score: 0.5535, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7744, number_of_instances: 625, precision: 0.8092, predictive_accuracy: 0.7744, prior_entropy: 1.3181, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.8903, unweighted_recall: 0.5658,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.9439, kappa: 0.8752, kb_relative_information_score: 0.8712, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9442, number_of_instances: 699, precision: 0.9441, predictive_accuracy: 0.9442, prior_entropy: 0.9293, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.497, unweighted_recall: 0.9328,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.8108, kappa: 0.8031, kb_relative_information_score: 0.8084, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.074, weighted_recall: 0.8107, number_of_instances: 7797, precision: 0.8114, predictive_accuracy: 0.8107, prior_entropy: 4.7004, relative_absolute_error: 0.1969, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.6275, unweighted_recall: 0.8107,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.8818, kappa: 0.8659, kb_relative_information_score: 0.8731, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.1962, weighted_recall: 0.8816, number_of_instances: 9961, precision: 0.8821, predictive_accuracy: 0.8816, prior_entropy: 3.1321, relative_absolute_error: 0.1341, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.5178, unweighted_recall: 0.8776,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9347, kappa: 0.9049, kb_relative_information_score: 0.9083, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9346, number_of_instances: 841, precision: 0.9349, predictive_accuracy: 0.9346, prior_entropy: 1.7874, relative_absolute_error: 0.0951, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.4362, unweighted_recall: 0.9184,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.9014, kappa: 0.882, kb_relative_information_score: 0.8917, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.2778, weighted_recall: 0.9017, number_of_instances: 600, precision: 0.9026, predictive_accuracy: 0.9017, prior_entropy: 2.585, relative_absolute_error: 0.118, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.181, root_relative_squared_error: 0.4858, unweighted_recall: 0.9017,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.9309, kappa: 0.7646, kb_relative_information_score: 0.7188, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.2942, weighted_recall: 0.931, number_of_instances: 2407, precision: 0.9308, predictive_accuracy: 0.931, prior_entropy: 0.678, relative_absolute_error: 0.2344, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2626, root_relative_squared_error: 0.685, unweighted_recall: 0.8809,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(24) on task Supervised Classification on data set monks-problems-3

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 0.9403, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9639, number_of_instances: 554, precision: 0.9643, predictive_accuracy: 0.9639, prior_entropy: 0.9989, relative_absolute_error: 0.0597, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.3153, unweighted_recall: 0.9644,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9622, kappa: 0.9245, kb_relative_information_score: 0.9245, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.5, weighted_recall: 0.9622, number_of_instances: 556, precision: 0.9622, predictive_accuracy: 0.9622, prior_entropy: 1, relative_absolute_error: 0.0755, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.3887, unweighted_recall: 0.9622,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(24) on task Supervised Classification on data set monks-problems-2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.995, kappa: 0.989, kb_relative_information_score: 0.9884, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.4507, weighted_recall: 0.995, number_of_instances: 601, precision: 0.9951, predictive_accuracy: 0.995, prior_entropy: 0.9274, relative_absolute_error: 0.0111, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.1489, unweighted_recall: 0.9962,

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: 0.9306, f_measure: 0.8748, kappa: 0.861, kb_relative_information_score: 0.8685, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.1799, weighted_recall: 0.8749, number_of_instances: 70000, precision: 0.8748, predictive_accuracy: 0.8749, prior_entropy: 3.3198, relative_absolute_error: 0.139, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.5273, unweighted_recall: 0.8733,

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