OpenML

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

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: 0.9232, f_measure: 0.8616, kappa: 0.8463, kb_relative_information_score: 0.8554, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.18, weighted_recall: 0.8617, number_of_instances: 10000, precision: 0.8618, predictive_accuracy: 0.8617, prior_entropy: 3.3219, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.5544, unweighted_recall: 0.8617,

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: 0.8383, f_measure: 0.7955, kappa: 0.6294, kb_relative_information_score: 0.5782, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7853, number_of_instances: 3125, precision: 0.8064, predictive_accuracy: 0.7853, prior_entropy: 1.3181, relative_absolute_error: 0.3769, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.8686, unweighted_recall: 0.5952,

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: 0.9203, f_measure: 0.8468, kappa: 0.8405, kb_relative_information_score: 0.8447, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.074, weighted_recall: 0.8467, number_of_instances: 100000, precision: 0.8471, predictive_accuracy: 0.8467, prior_entropy: 4.6998, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.5647, unweighted_recall: 0.8464,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6232, f_measure: 0.6245, kappa: 0.2465, kb_relative_information_score: 0.2453, mean_absolute_error: 0.3756, mean_prior_absolute_error: 0.4984, weighted_recall: 0.6244, number_of_instances: 490250, precision: 0.6245, predictive_accuracy: 0.6244, prior_entropy: 0.9976, relative_absolute_error: 0.7536, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6128, root_relative_squared_error: 1.2277, unweighted_recall: 0.6232,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(25) on task Supervised Classification on data set connect-4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.7166, kappa: 0.4292, kb_relative_information_score: 0.3931, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.3313, weighted_recall: 0.7162, number_of_instances: 337785, precision: 0.7171, predictive_accuracy: 0.7162, prior_entropy: 1.2184, relative_absolute_error: 0.5712, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.435, root_relative_squared_error: 1.0689, unweighted_recall: 0.5541,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.9108, kappa: 0.9018, kb_relative_information_score: 0.9071, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9107, number_of_instances: 27500, precision: 0.9109, predictive_accuracy: 0.9107, prior_entropy: 3.4594, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.4433, unweighted_recall: 0.9107,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(25) on task Supervised Classification on data set LED-display-domain-7digit

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.688, kappa: 0.6539, kb_relative_information_score: 0.6744, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1797, weighted_recall: 0.6888, number_of_instances: 2500, precision: 0.6897, predictive_accuracy: 0.6888, prior_entropy: 3.3123, relative_absolute_error: 0.4139, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.7584, unweighted_recall: 0.6898,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, f_measure: 0.9229, kappa: 0.3156, kb_relative_information_score: -0.0458, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9205, number_of_instances: 163845, precision: 0.9255, predictive_accuracy: 0.9205, prior_entropy: 0.319, relative_absolute_error: 0.7288, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.282, root_relative_squared_error: 1.2074, unweighted_recall: 0.6681,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.9522, kappa: 0.9032, kb_relative_information_score: 0.9032, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9522, number_of_instances: 55275, precision: 0.9522, predictive_accuracy: 0.9522, prior_entropy: 0.9906, relative_absolute_error: 0.0964, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.413, unweighted_recall: 0.9518,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.918, kappa: 0.9014, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.2771, weighted_recall: 0.918, number_of_instances: 51495, precision: 0.918, predictive_accuracy: 0.918, prior_entropy: 2.5759, relative_absolute_error: 0.0986, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.4441, unweighted_recall: 0.9164,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.4834, kappa: 0.3256, kb_relative_information_score: 0.3728, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4824, number_of_instances: 49365, precision: 0.4845, predictive_accuracy: 0.4824, prior_entropy: 2.1934, relative_absolute_error: 0.6755, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.455, root_relative_squared_error: 1.1623, unweighted_recall: 0.4416,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7084, f_measure: 0.7109, kappa: 0.4173, kb_relative_information_score: 0.4162, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7111, number_of_instances: 18755, precision: 0.7108, predictive_accuracy: 0.7111, prior_entropy: 0.9948, relative_absolute_error: 0.5819, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5375, root_relative_squared_error: 1.0788, unweighted_recall: 0.7084,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.7889, kappa: 0.7641, kb_relative_information_score: 0.7796, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.179, weighted_recall: 0.7888, number_of_instances: 51090, precision: 0.789, predictive_accuracy: 0.7888, prior_entropy: 3.2848, relative_absolute_error: 0.2354, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.6828, unweighted_recall: 0.7851,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5869, f_measure: 0.7001, kappa: 0.1511, kb_relative_information_score: 0.0429, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.363, weighted_recall: 0.7094, number_of_instances: 3740, precision: 0.6928, predictive_accuracy: 0.7094, prior_entropy: 0.7916, relative_absolute_error: 0.8562, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5281, root_relative_squared_error: 1.2401, unweighted_recall: 0.5713,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9778, kappa: 0.9551, kb_relative_information_score: 0.9549, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9778, number_of_instances: 6860, precision: 0.9778, predictive_accuracy: 0.9778, prior_entropy: 0.9911, relative_absolute_error: 0.0449, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.2996, unweighted_recall: 0.9773,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9635, kappa: 0.9558, kb_relative_information_score: 0.9583, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.2748, weighted_recall: 0.9635, number_of_instances: 69550, precision: 0.9635, predictive_accuracy: 0.9635, prior_entropy: 2.5457, relative_absolute_error: 0.0442, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.2974, unweighted_recall: 0.9609,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.5156, kappa: 0.356, kb_relative_information_score: 0.3747, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5143, number_of_instances: 30590, precision: 0.5171, predictive_accuracy: 0.5143, prior_entropy: 2.3, relative_absolute_error: 0.647, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4002, root_relative_squared_error: 1.1303, unweighted_recall: 0.4156,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.8111, kappa: 0.6182, kb_relative_information_score: 0.6166, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8112, number_of_instances: 74900, precision: 0.8111, predictive_accuracy: 0.8112, prior_entropy: 0.9924, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.8737, unweighted_recall: 0.809,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(25) on task Supervised Classification on data set cnae-9

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8494, kappa: 0.8294, kb_relative_information_score: 0.8402, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.1975, weighted_recall: 0.8483, number_of_instances: 5400, precision: 0.853, predictive_accuracy: 0.8483, prior_entropy: 3.1699, relative_absolute_error: 0.1706, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.5842, unweighted_recall: 0.8483,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5907, f_measure: 0.8655, kappa: 0.1688, kb_relative_information_score: -0.2124, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.1571, weighted_recall: 0.8607, number_of_instances: 2700, precision: 0.8706, predictive_accuracy: 0.8607, prior_entropy: 0.4202, relative_absolute_error: 0.8863, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3732, root_relative_squared_error: 1.3368, unweighted_recall: 0.5907,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9994, kappa: 0.9993, kb_relative_information_score: 0.999, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.1679, weighted_recall: 0.9994, number_of_instances: 10630, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 2.9134, relative_absolute_error: 0.0007, root_mean_prior_squared_error: 0.2897, root_mean_squared_error: 0.0106, root_relative_squared_error: 0.0367, unweighted_recall: 0.9981,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(25) on task Supervised Classification on data set ozone-level-8hr

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6322, f_measure: 0.9093, kappa: 0.2521, kb_relative_information_score: -0.1123, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9072, number_of_instances: 12670, precision: 0.9116, predictive_accuracy: 0.9072, prior_entropy: 0.3398, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.3047, root_relative_squared_error: 1.2526, unweighted_recall: 0.6322,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.9434, kappa: 0.8611, kb_relative_information_score: 0.8495, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9434, number_of_instances: 172325, precision: 0.9433, predictive_accuracy: 0.9434, prior_entropy: 0.863, relative_absolute_error: 0.1388, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.238, root_relative_squared_error: 0.5268, unweighted_recall: 0.9302,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.6988, kappa: 0.3977, kb_relative_information_score: 0.3977, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.5, weighted_recall: 0.6988, number_of_instances: 13000, precision: 0.6989, predictive_accuracy: 0.6988, prior_entropy: 1, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5488, root_relative_squared_error: 1.0975, unweighted_recall: 0.6988,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5353, f_measure: 0.5353, kappa: 0.0706, kb_relative_information_score: 0.0706, mean_absolute_error: 0.4647, mean_prior_absolute_error: 0.5, weighted_recall: 0.5353, number_of_instances: 6060, precision: 0.5353, predictive_accuracy: 0.5353, prior_entropy: 1, relative_absolute_error: 0.9294, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6817, root_relative_squared_error: 1.3634, unweighted_recall: 0.5353,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4531, weighted_recall: 1, number_of_instances: 9705, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9311, root_mean_prior_squared_error: 0.4759, unweighted_recall: 1,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.7106, kappa: 0.6793, kb_relative_information_score: 0.6978, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.18, weighted_recall: 0.7114, number_of_instances: 7965, precision: 0.7105, predictive_accuracy: 0.7114, prior_entropy: 3.3218, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2403, root_relative_squared_error: 0.8009, unweighted_recall: 0.7105,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9926, kappa: 0.9889, kb_relative_information_score: 0.9896, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.3312, weighted_recall: 0.9926, number_of_instances: 27280, precision: 0.9926, predictive_accuracy: 0.9926, prior_entropy: 1.7146, relative_absolute_error: 0.0111, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0607, root_relative_squared_error: 0.1492, unweighted_recall: 0.9917,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, f_measure: 0.8017, kappa: 0.5589, kb_relative_information_score: 0.5333, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8008, number_of_instances: 5275, precision: 0.803, predictive_accuracy: 0.8008, prior_entropy: 0.9223, relative_absolute_error: 0.4455, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.944, unweighted_recall: 0.7822,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7295, f_measure: 0.4622, kappa: 0.459, kb_relative_information_score: 0.4632, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0198, weighted_recall: 0.4644, number_of_instances: 7995, precision: 0.4642, predictive_accuracy: 0.4644, prior_entropy: 6.6438, relative_absolute_error: 0.541, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1035, root_relative_squared_error: 1.0402, unweighted_recall: 0.4644,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.395, kappa: 0.3894, kb_relative_information_score: 0.3942, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, weighted_recall: 0.3955, number_of_instances: 8000, precision: 0.4007, predictive_accuracy: 0.3955, prior_entropy: 6.6439, relative_absolute_error: 0.6106, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.11, root_relative_squared_error: 1.1051, unweighted_recall: 0.3955,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.4317, kappa: 0.4245, kb_relative_information_score: 0.429, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0198, weighted_recall: 0.4303, number_of_instances: 8000, precision: 0.4365, predictive_accuracy: 0.4303, prior_entropy: 6.6439, relative_absolute_error: 0.5755, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1067, root_relative_squared_error: 1.0729, unweighted_recall: 0.4303,

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: 0.8187, f_measure: 0.8498, kappa: 0.6376, kb_relative_information_score: 0.6095, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8498, number_of_instances: 27020, precision: 0.8497, predictive_accuracy: 0.8498, prior_entropy: 0.8732, relative_absolute_error: 0.3622, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.8512, unweighted_recall: 0.8187,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.7074, kappa: 0.6897, kb_relative_information_score: 0.6969, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.0941, weighted_recall: 0.7082, number_of_instances: 2855, precision: 0.7096, predictive_accuracy: 0.7082, prior_entropy: 4.2, relative_absolute_error: 0.31, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.7875, unweighted_recall: 0.6862,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.9233, kappa: 0.8358, kb_relative_information_score: 0.8314, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9234, number_of_instances: 2845, precision: 0.9232, predictive_accuracy: 0.9234, prior_entropy: 0.9526, relative_absolute_error: 0.1639, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.5725, unweighted_recall: 0.9171,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.8128, kappa: 0.5892, kb_relative_information_score: 0.5735, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.456, weighted_recall: 0.8129, number_of_instances: 95100, precision: 0.8127, predictive_accuracy: 0.8129, prior_entropy: 0.9355, relative_absolute_error: 0.4103, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.9058, unweighted_recall: 0.7942,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(25) on task Supervised Classification on data set kc2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6359, f_measure: 0.795, kappa: 0.3645, kb_relative_information_score: 0.2336, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.3266, weighted_recall: 0.7973, number_of_instances: 2610, precision: 0.793, predictive_accuracy: 0.7973, prior_entropy: 0.7318, relative_absolute_error: 0.6643, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4532, root_relative_squared_error: 1.1228, unweighted_recall: 0.6783,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(25) on task Supervised Classification on data set mozilla4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.9244, kappa: 0.829, kb_relative_information_score: 0.8194, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.4412, weighted_recall: 0.9243, number_of_instances: 77725, precision: 0.9246, predictive_accuracy: 0.9243, prior_entropy: 0.9135, relative_absolute_error: 0.1715, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.5856, unweighted_recall: 0.9156,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.839, kappa: 0.6778, kb_relative_information_score: 0.6778, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.4999, weighted_recall: 0.839, number_of_instances: 17340, precision: 0.839, predictive_accuracy: 0.839, prior_entropy: 0.9998, relative_absolute_error: 0.3221, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8026, unweighted_recall: 0.8389,

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 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 JapaneseVowels

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.8499, kappa: 0.8298, kb_relative_information_score: 0.8389, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.1962, weighted_recall: 0.8498, number_of_instances: 49805, precision: 0.8502, predictive_accuracy: 0.8498, prior_entropy: 3.1321, relative_absolute_error: 0.1702, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.5834, unweighted_recall: 0.8447,

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 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 monks-problems-1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.9324, kappa: 0.8647, kb_relative_information_score: 0.8647, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.5, weighted_recall: 0.9324, number_of_instances: 2780, precision: 0.9326, predictive_accuracy: 0.9324, prior_entropy: 1, relative_absolute_error: 0.1353, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.26, root_relative_squared_error: 0.5201, unweighted_recall: 0.9324,

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