OpenML

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(24) on task Supervised Classification on data set kc2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6095, f_measure: 0.7924, kappa: 0.3554, kb_relative_information_score: 0.2303, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.3266, weighted_recall: 0.795, number_of_instances: 522, precision: 0.7901, predictive_accuracy: 0.795, prior_entropy: 0.7318, relative_absolute_error: 0.674, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.455, root_relative_squared_error: 1.1272, unweighted_recall: 0.6734,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(24) on task Supervised Classification on data set mozilla4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.936, kappa: 0.855, kb_relative_information_score: 0.8474, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4412, weighted_recall: 0.9361, number_of_instances: 15545, precision: 0.936, predictive_accuracy: 0.9361, prior_entropy: 0.9135, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.5384, unweighted_recall: 0.9273,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.8503, kappa: 0.7005, kb_relative_information_score: 0.7006, mean_absolute_error: 0.1497, mean_prior_absolute_error: 0.4999, weighted_recall: 0.8503, number_of_instances: 3468, precision: 0.8504, predictive_accuracy: 0.8503, prior_entropy: 0.9998, relative_absolute_error: 0.2994, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.7738, unweighted_recall: 0.8502,

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: 0.931, f_measure: 0.8757, kappa: 0.8619, kb_relative_information_score: 0.8694, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.1799, weighted_recall: 0.8758, number_of_instances: 70000, precision: 0.8756, predictive_accuracy: 0.8758, prior_entropy: 3.3198, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.5255, unweighted_recall: 0.8741,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(24) on task Supervised Classification on data set mozilla4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.9353, kappa: 0.8534, kb_relative_information_score: 0.8455, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4412, weighted_recall: 0.9353, number_of_instances: 15545, precision: 0.9353, predictive_accuracy: 0.9353, prior_entropy: 0.9135, relative_absolute_error: 0.1467, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.5416, unweighted_recall: 0.9268,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.8558, kappa: 0.7115, kb_relative_information_score: 0.7115, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.4999, weighted_recall: 0.8558, number_of_instances: 3468, precision: 0.8559, predictive_accuracy: 0.8558, prior_entropy: 0.9998, relative_absolute_error: 0.2884, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.7595, unweighted_recall: 0.8557,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(24) on task Supervised Classification on data set LED-display-domain-7digit

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.7003, kappa: 0.6686, kb_relative_information_score: 0.6996, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.1797, weighted_recall: 0.702, number_of_instances: 500, precision: 0.7043, predictive_accuracy: 0.702, prior_entropy: 3.3123, relative_absolute_error: 0.4028, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.7052, unweighted_recall: 0.7052,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.9289, kappa: 0.9216, kb_relative_information_score: 0.9259, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9287, number_of_instances: 5500, precision: 0.9291, predictive_accuracy: 0.9287, prior_entropy: 3.4594, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.396, unweighted_recall: 0.9287,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.9339, kappa: 0.9205, kb_relative_information_score: 0.9264, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9339, number_of_instances: 10299, precision: 0.9339, predictive_accuracy: 0.9339, prior_entropy: 2.5759, relative_absolute_error: 0.0795, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.3989, unweighted_recall: 0.9325,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(24) on task Supervised Classification on data set connect-4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7533, f_measure: 0.7401, kappa: 0.4759, kb_relative_information_score: 0.4411, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.3313, weighted_recall: 0.7398, number_of_instances: 67557, precision: 0.7405, predictive_accuracy: 0.7398, prior_entropy: 1.2184, relative_absolute_error: 0.5235, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.4165, root_relative_squared_error: 1.0233, unweighted_recall: 0.5842,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.93, kappa: 0.3722, kb_relative_information_score: 0.0584, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9284, number_of_instances: 32769, precision: 0.9316, predictive_accuracy: 0.9284, prior_entropy: 0.319, relative_absolute_error: 0.6562, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2676, root_relative_squared_error: 1.1457, unweighted_recall: 0.6946,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9644, kappa: 0.9279, kb_relative_information_score: 0.9272, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9645, number_of_instances: 11055, precision: 0.9644, predictive_accuracy: 0.9645, prior_entropy: 0.9906, relative_absolute_error: 0.0727, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.3444, unweighted_recall: 0.9637,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6246, f_measure: 0.6258, kappa: 0.2492, kb_relative_information_score: 0.2481, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.4984, weighted_recall: 0.6258, number_of_instances: 98050, precision: 0.6258, predictive_accuracy: 0.6258, prior_entropy: 0.9976, relative_absolute_error: 0.7508, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6117, root_relative_squared_error: 1.2254, unweighted_recall: 0.6246,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6056, f_measure: 0.4801, kappa: 0.1962, kb_relative_information_score: 0.2591, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4308, weighted_recall: 0.4807, number_of_instances: 1473, precision: 0.4797, predictive_accuracy: 0.4807, prior_entropy: 1.539, relative_absolute_error: 0.8036, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.581, root_relative_squared_error: 1.2519, unweighted_recall: 0.4614,

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: 0.8349, f_measure: 0.7903, kappa: 0.6117, kb_relative_information_score: 0.5511, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7728, number_of_instances: 625, precision: 0.8089, predictive_accuracy: 0.7728, prior_entropy: 1.3181, relative_absolute_error: 0.3988, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.8935, unweighted_recall: 0.5647,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9624, kappa: 0.9561, kb_relative_information_score: 0.9594, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.2449, weighted_recall: 0.9623, number_of_instances: 2310, precision: 0.9624, predictive_accuracy: 0.9623, prior_entropy: 2.8074, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.2964, unweighted_recall: 0.9623,

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: 0.8622, f_measure: 0.7528, kappa: 0.7244, kb_relative_information_score: 0.7407, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.18, weighted_recall: 0.752, number_of_instances: 2000, precision: 0.7541, predictive_accuracy: 0.752, prior_entropy: 3.3219, relative_absolute_error: 0.2756, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.7424, unweighted_recall: 0.752,

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: 0.834, f_measure: 0.7894, kappa: 0.6094, kb_relative_information_score: 0.5486, mean_absolute_error: 0.1525, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7712, number_of_instances: 625, precision: 0.8087, predictive_accuracy: 0.7712, prior_entropy: 1.3181, relative_absolute_error: 0.4017, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.8966, unweighted_recall: 0.5635,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.9454, kappa: 0.8787, kb_relative_information_score: 0.8745, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9456, number_of_instances: 699, precision: 0.9455, predictive_accuracy: 0.9456, prior_entropy: 0.9293, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.4906, unweighted_recall: 0.9359,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9173, kappa: 0.8424, kb_relative_information_score: -0.0305, mean_absolute_error: 0.4215, mean_prior_absolute_error: 0.3798, weighted_recall: 0.9072, number_of_instances: 625, precision: 0.9344, predictive_accuracy: 0.9072, prior_entropy: 1.3181, relative_absolute_error: 1.1099, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4479, root_relative_squared_error: 1.0282, unweighted_recall: 0.8595,

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: 0.8631, f_measure: 0.7533, kappa: 0.7261, kb_relative_information_score: 0.7422, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.18, weighted_recall: 0.7535, number_of_instances: 2000, precision: 0.7537, predictive_accuracy: 0.7535, prior_entropy: 3.3219, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.222, root_relative_squared_error: 0.7401, unweighted_recall: 0.7535,

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: 0.8644, f_measure: 0.757, kappa: 0.7289, kb_relative_information_score: 0.7448, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.18, weighted_recall: 0.756, number_of_instances: 2000, precision: 0.7585, predictive_accuracy: 0.756, prior_entropy: 3.3219, relative_absolute_error: 0.2711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.7364, unweighted_recall: 0.756,

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: 0.8357, 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: 0.8091, 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)(25) 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 ... oosting.AdaBoostClassifier)(2) on task Supervised Classification on data set mfeat-fourier

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.4522, kappa: 0.4094, kb_relative_information_score: 0.1915, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.18, weighted_recall: 0.4685, number_of_instances: 2000, precision: 0.4851, predictive_accuracy: 0.4685, prior_entropy: 3.3219, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.9388, unweighted_recall: 0.4685,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.9411, kappa: 0.8693, kb_relative_information_score: 0.8646, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9413, number_of_instances: 699, precision: 0.9411, predictive_accuracy: 0.9413, prior_entropy: 0.9293, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.5096, unweighted_recall: 0.9316,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9173, kappa: 0.8424, kb_relative_information_score: -0.0305, mean_absolute_error: 0.4215, mean_prior_absolute_error: 0.3798, weighted_recall: 0.9072, number_of_instances: 625, precision: 0.9344, predictive_accuracy: 0.9072, prior_entropy: 1.3181, relative_absolute_error: 1.1099, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4479, root_relative_squared_error: 1.0282, unweighted_recall: 0.8595,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9613, kappa: 0.9143, kb_relative_information_score: 0.164, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9614, number_of_instances: 699, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.9293, relative_absolute_error: 0.8357, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8347, unweighted_recall: 0.9558,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9736, kappa: 0.9725, kb_relative_information_score: 0.9209, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.074, weighted_recall: 0.9736, number_of_instances: 20000, precision: 0.9737, predictive_accuracy: 0.9736, prior_entropy: 4.6998, relative_absolute_error: 0.1869, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0617, root_relative_squared_error: 0.3211, unweighted_recall: 0.9734,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.5008, kappa: 0.226, kb_relative_information_score: 0.234, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5037, number_of_instances: 1473, precision: 0.4991, predictive_accuracy: 0.5037, prior_entropy: 1.539, relative_absolute_error: 0.8384, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4786, root_relative_squared_error: 1.0312, unweighted_recall: 0.481,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set mfeat-karhunen

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9675, kappa: 0.9639, kb_relative_information_score: 0.7811, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.18, weighted_recall: 0.9675, number_of_instances: 2000, precision: 0.9677, predictive_accuracy: 0.9675, prior_entropy: 3.3219, relative_absolute_error: 0.3985, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.4683, unweighted_recall: 0.9675,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.971, kappa: 0.9678, kb_relative_information_score: 0.8988, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.18, weighted_recall: 0.971, number_of_instances: 2000, precision: 0.9713, predictive_accuracy: 0.971, prior_entropy: 3.3219, relative_absolute_error: 0.193, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.312, unweighted_recall: 0.971,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9686, kappa: 0.9309, kb_relative_information_score: 0.8848, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9685, number_of_instances: 699, precision: 0.969, predictive_accuracy: 0.9685, prior_entropy: 0.9293, relative_absolute_error: 0.1244, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.3337, unweighted_recall: 0.9691,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.7916, kappa: 0.597, kb_relative_information_score: 0.5839, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7312, number_of_instances: 625, precision: 0.9278, predictive_accuracy: 0.7312, prior_entropy: 1.3181, relative_absolute_error: 0.4719, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.9719, unweighted_recall: 0.7886,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5863, f_measure: 0.6282, kappa: 0.1755, kb_relative_information_score: 0.156, mean_absolute_error: 0.3685, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6315, number_of_instances: 768, precision: 0.6256, predictive_accuracy: 0.6315, prior_entropy: 0.9331, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.607, root_relative_squared_error: 1.2736, unweighted_recall: 0.5863,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.6655, kappa: 0.3309, kb_relative_information_score: 0.3309, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.5, weighted_recall: 0.6655, number_of_instances: 556, precision: 0.6655, predictive_accuracy: 0.6655, prior_entropy: 1, relative_absolute_error: 0.6691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5784, root_relative_squared_error: 1.1568, unweighted_recall: 0.6655,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.8164, kappa: 0.6687, kb_relative_information_score: 0.5765, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.3798, weighted_recall: 0.8096, number_of_instances: 625, precision: 0.825, predictive_accuracy: 0.8096, prior_entropy: 1.3181, relative_absolute_error: 0.3924, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.6822, unweighted_recall: 0.5856,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.3746, kappa: 0.3111, kb_relative_information_score: 0.1936, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.18, weighted_recall: 0.38, number_of_instances: 2000, precision: 0.4506, predictive_accuracy: 0.38, prior_entropy: 3.3219, relative_absolute_error: 0.888, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2847, root_relative_squared_error: 0.9492, unweighted_recall: 0.38,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.5425, kappa: 0.2915, kb_relative_information_score: 0.0268, mean_absolute_error: 0.4391, mean_prior_absolute_error: 0.4308, weighted_recall: 0.5438, number_of_instances: 1473, precision: 0.5444, predictive_accuracy: 0.5438, prior_entropy: 1.539, relative_absolute_error: 1.0191, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4664, root_relative_squared_error: 1.005, unweighted_recall: 0.5166,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9613, kappa: 0.9143, kb_relative_information_score: 0.164, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9614, number_of_instances: 699, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.9293, relative_absolute_error: 0.8357, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8347, unweighted_recall: 0.9558,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, kappa: 0.4338, kb_relative_information_score: 0.4837, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.2449, weighted_recall: 0.5147, number_of_instances: 2310, predictive_accuracy: 0.5147, prior_entropy: 2.8074, relative_absolute_error: 0.6207, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2716, root_relative_squared_error: 0.7761, unweighted_recall: 0.5147,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 0.1676, mean_absolute_error: 0.4259, mean_prior_absolute_error: 0.5, weighted_recall: 0.7464, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, relative_absolute_error: 0.8519, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.8903, unweighted_recall: 0.7464,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.7304, kappa: 0.6793, kb_relative_information_score: 0.7033, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.2449, weighted_recall: 0.7251, number_of_instances: 2310, precision: 0.7544, predictive_accuracy: 0.7251, prior_entropy: 2.8074, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2803, root_relative_squared_error: 0.8009, unweighted_recall: 0.7251,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, f_measure: 0.6673, kappa: 0.3345, kb_relative_information_score: 0.2116, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.5, weighted_recall: 0.6673, number_of_instances: 556, precision: 0.6673, predictive_accuracy: 0.6673, prior_entropy: 1, relative_absolute_error: 0.8132, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9092, unweighted_recall: 0.6673,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... del._perceptron.Perceptron)(1) on task Supervised Classification on data set cmc

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5577, f_measure: 0.4195, kappa: 0.1112, kb_relative_information_score: 0.1702, mean_absolute_error: 0.3879, mean_prior_absolute_error: 0.4308, weighted_recall: 0.4182, number_of_instances: 1473, precision: 0.4354, predictive_accuracy: 0.4182, prior_entropy: 1.539, relative_absolute_error: 0.9003, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6228, root_relative_squared_error: 1.3419, unweighted_recall: 0.4054,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9584, kappa: 0.9515, kb_relative_information_score: 0.9481, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.2449, weighted_recall: 0.9584, number_of_instances: 2310, precision: 0.9586, predictive_accuracy: 0.9584, prior_entropy: 2.8074, relative_absolute_error: 0.0754, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0942, root_relative_squared_error: 0.2691, unweighted_recall: 0.9584,

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: 0.9207, f_measure: 0.8476, kappa: 0.8413, kb_relative_information_score: 0.8455, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.074, weighted_recall: 0.8474, number_of_instances: 100000, precision: 0.8478, predictive_accuracy: 0.8474, prior_entropy: 4.6998, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.5634, unweighted_recall: 0.8471,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, f_measure: 0.6684, kappa: 0.6294, kb_relative_information_score: 0.6512, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.18, weighted_recall: 0.6665, number_of_instances: 2000, precision: 0.6709, predictive_accuracy: 0.6665, prior_entropy: 3.3219, relative_absolute_error: 0.3706, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.8609, unweighted_recall: 0.6665,

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: 0.9194, f_measure: 0.8548, kappa: 0.8389, kb_relative_information_score: 0.8484, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.18, weighted_recall: 0.855, number_of_instances: 2000, precision: 0.8552, predictive_accuracy: 0.855, prior_entropy: 3.3219, relative_absolute_error: 0.1611, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.5676, unweighted_recall: 0.855,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6082, f_measure: 0.4818, kappa: 0.1986, kb_relative_information_score: 0.2626, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4308, weighted_recall: 0.482, number_of_instances: 1473, precision: 0.4816, predictive_accuracy: 0.482, prior_entropy: 1.539, relative_absolute_error: 0.7991, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5793, root_relative_squared_error: 1.2483, unweighted_recall: 0.462,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8686, kappa: 0.8428, kb_relative_information_score: 0.8557, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.2778, weighted_recall: 0.869, number_of_instances: 3000, precision: 0.8696, predictive_accuracy: 0.869, prior_entropy: 2.585, relative_absolute_error: 0.1572, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.209, root_relative_squared_error: 0.5607, unweighted_recall: 0.869,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(25) on task Supervised Classification on data set monks-problems-2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.8867, kappa: 0.75, kb_relative_information_score: 0.7363, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8862, number_of_instances: 3005, precision: 0.8877, predictive_accuracy: 0.8862, prior_entropy: 0.9274, relative_absolute_error: 0.2525, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.7108, unweighted_recall: 0.8788,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8661, kappa: 0.726, kb_relative_information_score: 0.7232, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8661, number_of_instances: 226560, precision: 0.8661, predictive_accuracy: 0.8661, prior_entropy: 0.9835, relative_absolute_error: 0.274, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.7403, unweighted_recall: 0.8631,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(25) on task Supervised Classification on data set monks-problems-3

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9711, kappa: 0.9422, kb_relative_information_score: 0.9421, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.4992, weighted_recall: 0.9711, number_of_instances: 2770, precision: 0.9712, predictive_accuracy: 0.9711, prior_entropy: 0.9989, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.3391, unweighted_recall: 0.9713,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.9125, kappa: 0.8728, kb_relative_information_score: 0.8783, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9125, number_of_instances: 4205, precision: 0.9127, predictive_accuracy: 0.9125, prior_entropy: 1.7874, relative_absolute_error: 0.1272, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.5046, unweighted_recall: 0.8922,

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: 0.9201, f_measure: 0.8466, kappa: 0.8402, kb_relative_information_score: 0.8445, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.074, weighted_recall: 0.8464, number_of_instances: 100000, precision: 0.8468, predictive_accuracy: 0.8464, prior_entropy: 4.6998, relative_absolute_error: 0.1598, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.5653, unweighted_recall: 0.8461,

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: 0.9219, f_measure: 0.8595, kappa: 0.8438, kb_relative_information_score: 0.853, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.18, weighted_recall: 0.8594, number_of_instances: 10000, precision: 0.8598, predictive_accuracy: 0.8594, prior_entropy: 3.3219, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.559, unweighted_recall: 0.8594,

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: 0.8346, f_measure: 0.7914, kappa: 0.6215, kb_relative_information_score: 0.5705, mean_absolute_error: 0.1463, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7805, number_of_instances: 3125, precision: 0.8029, predictive_accuracy: 0.7805, prior_entropy: 1.3181, relative_absolute_error: 0.3854, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.8783, unweighted_recall: 0.5906,

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