Run
ID's
Sort: most recent
10103746 results
Filter results by:
Theeraphat Seetha 1 year ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(32) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9301, kappa: 0.8585, kb_relative_information_score: 0.6358, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9303, number_of_instances: 14980, precision: 0.9308, predictive_accuracy: 0.9303, prior_entropy: 0.9924, relative_absolute_error: 0.41, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.53, unweighted_recall: 0.9273,
Jan van Rijn 1 year ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(32) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9327, kappa: 0.8638, kb_relative_information_score: 0.636, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9329, number_of_instances: 14980, precision: 0.9334, predictive_accuracy: 0.9329, prior_entropy: 0.9924, relative_absolute_error: 0.4105, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2626, root_relative_squared_error: 0.5279, unweighted_recall: 0.93,
Jan van Rijn 1 year ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(34) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9294, kappa: 0.8571, kb_relative_information_score: 0.6365, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9296, number_of_instances: 14980, precision: 0.9302, predictive_accuracy: 0.9296, prior_entropy: 0.9924, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2628, root_relative_squared_error: 0.5284, unweighted_recall: 0.9266,
Jakkrapun Klangkankullapun 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(1) on task Supervised Classification on data set Weather
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6222, f_measure: 0.7143, kappa: 0.3778, kb_relative_information_score: 0.1028, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4643, weighted_recall: 0.7143, number_of_instances: 14, precision: 0.7143, predictive_accuracy: 0.7143, prior_entropy: 0.9413, relative_absolute_error: 0.9046, root_mean_prior_squared_error: 0.4795, root_mean_squared_error: 0.4844, root_relative_squared_error: 1.0103, unweighted_recall: 0.6889,
Kittikan Charoenrat 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(1) on task Supervised Classification on data set Weather
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6222, f_measure: 0.7794, kappa: 0.5116, kb_relative_information_score: 0.1002, mean_absolute_error: 0.4214, mean_prior_absolute_error: 0.4643, weighted_recall: 0.7857, number_of_instances: 14, precision: 0.7821, predictive_accuracy: 0.7857, prior_entropy: 0.9413, relative_absolute_error: 0.9077, root_mean_prior_squared_error: 0.4795, root_mean_squared_error: 0.4858, root_relative_squared_error: 1.0132, unweighted_recall: 0.7444,
Jakkrapun Klangkankullapun 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(1) on task Supervised Classification on data set Weather
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.6324, kappa: 0.186, kb_relative_information_score: 0.0345, mean_absolute_error: 0.4436, mean_prior_absolute_error: 0.4643, weighted_recall: 0.6429, number_of_instances: 14, precision: 0.6286, predictive_accuracy: 0.6429, prior_entropy: 0.9413, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.4795, root_mean_squared_error: 0.5077, root_relative_squared_error: 1.0588, unweighted_recall: 0.5889,
Tananon Klinkaew 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(1) on task Supervised Classification on data set Weather
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6222, f_measure: 0.5918, kappa: 0.1026, kb_relative_information_score: 0.0919, mean_absolute_error: 0.4243, mean_prior_absolute_error: 0.4643, weighted_recall: 0.6429, number_of_instances: 14, precision: 0.6071, predictive_accuracy: 0.6429, prior_entropy: 0.9413, relative_absolute_error: 0.9138, root_mean_prior_squared_error: 0.4795, root_mean_squared_error: 0.4934, root_relative_squared_error: 1.0289, unweighted_recall: 0.5444,
said edsa 1 year ago
ran flow sklearn.pipeline.Pipeline(vari ... est.RandomForestClassifier)(1) on task Supervised Classification on data set appendicitis_test_edsa
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.8675, kappa: 0.5664, kb_relative_information_score: 0.3369, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.3211, weighted_recall: 0.8736, number_of_instances: 1060, precision: 0.8663, predictive_accuracy: 0.8736, prior_entropy: 0.7183, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.3986, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.826, unweighted_recall: 0.7598,
Nuttakit Thaiphuttra 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(3) on task Supervised Classification on data set Weather
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6222, f_measure: 0.7794, kappa: 0.5116, kb_relative_information_score: 0.0812, mean_absolute_error: 0.4293, mean_prior_absolute_error: 0.4643, weighted_recall: 0.7857, number_of_instances: 14, precision: 0.7821, predictive_accuracy: 0.7857, prior_entropy: 0.9413, relative_absolute_error: 0.9246, root_mean_prior_squared_error: 0.4795, root_mean_squared_error: 0.4872, root_relative_squared_error: 1.0161, unweighted_recall: 0.7444,
Kunlasatri Chaiyahad 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(3) on task Supervised Classification on data set Weather
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5778, f_measure: 0.7143, kappa: 0.3778, kb_relative_information_score: 0.0652, mean_absolute_error: 0.4343, mean_prior_absolute_error: 0.4643, weighted_recall: 0.7143, number_of_instances: 14, precision: 0.7143, predictive_accuracy: 0.7143, prior_entropy: 0.9413, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.4795, root_mean_squared_error: 0.4991, root_relative_squared_error: 1.0409, unweighted_recall: 0.6889,
Kunlasatri Chaiyahad 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(3) on task Supervised Classification on data set Weather
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.7143, kappa: 0.3778, kb_relative_information_score: 0.0394, mean_absolute_error: 0.4429, mean_prior_absolute_error: 0.4643, weighted_recall: 0.7143, number_of_instances: 14, precision: 0.7143, predictive_accuracy: 0.7143, prior_entropy: 0.9413, relative_absolute_error: 0.9538, root_mean_prior_squared_error: 0.4795, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0439, unweighted_recall: 0.6889,
Ponkrit Kaewketsri 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(3) on task Supervised Classification on data set Weather
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.7794, kappa: 0.5116, kb_relative_information_score: 0.0834, mean_absolute_error: 0.4243, mean_prior_absolute_error: 0.4643, weighted_recall: 0.7857, number_of_instances: 14, precision: 0.7821, predictive_accuracy: 0.7857, prior_entropy: 0.9413, relative_absolute_error: 0.9138, root_mean_prior_squared_error: 0.4795, root_mean_squared_error: 0.4846, root_relative_squared_error: 1.0107, unweighted_recall: 0.7444,
Kwanchanok Tobsri 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(3) on task Supervised Classification on data set Weather
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6222, f_measure: 0.7143, kappa: 0.3778, kb_relative_information_score: 0.0594, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4643, weighted_recall: 0.7143, number_of_instances: 14, precision: 0.7143, predictive_accuracy: 0.7143, prior_entropy: 0.9413, relative_absolute_error: 0.9431, root_mean_prior_squared_error: 0.4795, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0375, unweighted_recall: 0.6889,
Chanita Panwoon 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(3) on task Supervised Classification on data set Weather
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6444, f_measure: 0.6929, kappa: 0.3171, kb_relative_information_score: 0.1091, mean_absolute_error: 0.4186, mean_prior_absolute_error: 0.4643, weighted_recall: 0.7143, number_of_instances: 14, precision: 0.7056, predictive_accuracy: 0.7143, prior_entropy: 0.9413, relative_absolute_error: 0.9015, root_mean_prior_squared_error: 0.4795, root_mean_squared_error: 0.478, root_relative_squared_error: 0.9968, unweighted_recall: 0.6444,
Sirirat Chain 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(3) on task Supervised Classification on data set Weather-Test
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6444, f_measure: 0.7794, kappa: 0.5116, kb_relative_information_score: 0.1083, mean_absolute_error: 0.4214, mean_prior_absolute_error: 0.4643, weighted_recall: 0.7857, number_of_instances: 14, precision: 0.7821, predictive_accuracy: 0.7857, prior_entropy: 0.9413, relative_absolute_error: 0.9077, root_mean_prior_squared_error: 0.4795, root_mean_squared_error: 0.4862, root_relative_squared_error: 1.014, unweighted_recall: 0.7444,
Sirinapa Sulamnat 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(3) on task Supervised Classification on data set Weather
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6222, f_measure: 0.7794, kappa: 0.5116, kb_relative_information_score: 0.0754, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.4643, weighted_recall: 0.7857, number_of_instances: 14, precision: 0.7821, predictive_accuracy: 0.7857, prior_entropy: 0.9413, relative_absolute_error: 0.9292, root_mean_prior_squared_error: 0.4795, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.0297, unweighted_recall: 0.7444,
Anirut Shaogla 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(3) on task Supervised Classification on data set Weather
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.7143, kappa: 0.3778, kb_relative_information_score: 0.0604, mean_absolute_error: 0.4336, mean_prior_absolute_error: 0.4643, weighted_recall: 0.7143, number_of_instances: 14, precision: 0.7143, predictive_accuracy: 0.7143, prior_entropy: 0.9413, relative_absolute_error: 0.9338, root_mean_prior_squared_error: 0.4795, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0512, unweighted_recall: 0.6889,
Peeradon Sukkasem 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set Weather
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6222, f_measure: 0.7794, kappa: 0.5116, kb_relative_information_score: 0.0849, mean_absolute_error: 0.4293, mean_prior_absolute_error: 0.4643, weighted_recall: 0.7857, number_of_instances: 14, precision: 0.7821, predictive_accuracy: 0.7857, prior_entropy: 0.9413, relative_absolute_error: 0.9246, root_mean_prior_squared_error: 0.4795, root_mean_squared_error: 0.4916, root_relative_squared_error: 1.0252, unweighted_recall: 0.7444,
Peeradon Sukkasem 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set Weather
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6444, f_measure: 0.7794, kappa: 0.5116, kb_relative_information_score: 0.1014, mean_absolute_error: 0.4186, mean_prior_absolute_error: 0.4643, weighted_recall: 0.7857, number_of_instances: 14, precision: 0.7821, predictive_accuracy: 0.7857, prior_entropy: 0.9413, relative_absolute_error: 0.9015, root_mean_prior_squared_error: 0.4795, root_mean_squared_error: 0.4894, root_relative_squared_error: 1.0206, unweighted_recall: 0.7444,
Peeradon Sukkasem 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set Weather
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6222, f_measure: 0.6929, kappa: 0.3171, kb_relative_information_score: 0.1267, mean_absolute_error: 0.4129, mean_prior_absolute_error: 0.4643, weighted_recall: 0.7143, number_of_instances: 14, precision: 0.7056, predictive_accuracy: 0.7143, prior_entropy: 0.9413, relative_absolute_error: 0.8892, root_mean_prior_squared_error: 0.4795, root_mean_squared_error: 0.4827, root_relative_squared_error: 1.0067, unweighted_recall: 0.6444,
said edsa 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(1) on task Supervised Classification on data set Weather
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6222, f_measure: 0.6929, kappa: 0.3171, kb_relative_information_score: 0.1084, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4643, weighted_recall: 0.7143, number_of_instances: 14, precision: 0.7056, predictive_accuracy: 0.7143, prior_entropy: 0.9413, relative_absolute_error: 0.9046, root_mean_prior_squared_error: 0.4795, root_mean_squared_error: 0.4833, root_relative_squared_error: 1.008, unweighted_recall: 0.6444,
said edsa 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(1) on task Supervised Classification on data set Weather
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.6324, kappa: 0.186, kb_relative_information_score: 0.0569, mean_absolute_error: 0.4343, mean_prior_absolute_error: 0.4643, weighted_recall: 0.6429, number_of_instances: 14, precision: 0.6286, predictive_accuracy: 0.6429, prior_entropy: 0.9413, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.4795, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.038, unweighted_recall: 0.5889,
said edsa 1 year ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(32) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.8779, kappa: 0.7289, kb_relative_information_score: 0.5976, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.456, weighted_recall: 0.8798, number_of_instances: 19020, precision: 0.8795, predictive_accuracy: 0.8798, prior_entropy: 0.9355, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.626, unweighted_recall: 0.8544,
said edsa 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(29) on task Supervised Classification on data set pendigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9628, kappa: 0.9586, kb_relative_information_score: 0.9611, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.18, weighted_recall: 0.9628, number_of_instances: 10992, precision: 0.9628, predictive_accuracy: 0.9628, prior_entropy: 3.3208, relative_absolute_error: 0.0414, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.2876, unweighted_recall: 0.9628,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(8) on task Supervised Classification on data set mnist_784
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6384, kappa: 0.1024, kb_relative_information_score: 0.1397, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.1799, weighted_recall: 0.1986, number_of_instances: 70000, predictive_accuracy: 0.1986, prior_entropy: 3.3198, relative_absolute_error: 0.9558, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.9777, unweighted_recall: 0.1833,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(8) on task Supervised Classification on data set analcatdata_dmft
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5219, kappa: 0.0289, kb_relative_information_score: 0.0432, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.2774, weighted_recall: 0.1882, number_of_instances: 797, predictive_accuracy: 0.1882, prior_entropy: 2.5803, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.9981, unweighted_recall: 0.1924,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(8) on task Supervised Classification on data set analcatdata_authorship
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, kappa: 0.4341, kb_relative_information_score: 0.3574, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.3439, weighted_recall: 0.6421, number_of_instances: 841, predictive_accuracy: 0.6421, prior_entropy: 1.7874, relative_absolute_error: 0.7116, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.355, root_relative_squared_error: 0.8562, unweighted_recall: 0.44,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(8) on task Supervised Classification on data set isolet
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6231, kappa: 0.0397, kb_relative_information_score: 0.1224, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.074, weighted_recall: 0.0767, number_of_instances: 7797, predictive_accuracy: 0.0767, prior_entropy: 4.7004, relative_absolute_error: 0.9637, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.9817, unweighted_recall: 0.0767,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(8) on task Supervised Classification on data set vowel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4849, kappa: -0.0844, kb_relative_information_score: 0.0305, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.1653, weighted_recall: 0.0141, number_of_instances: 990, predictive_accuracy: 0.0141, prior_entropy: 3.4594, relative_absolute_error: 1.0094, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.0408, unweighted_recall: 0.0141,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(8) on task Supervised Classification on data set sick
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.9679, kappa: 0.742, kb_relative_information_score: 0.4961, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9655, number_of_instances: 3772, precision: 0.9725, predictive_accuracy: 0.9655, prior_entropy: 0.3324, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.6617, unweighted_recall: 0.9311,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(8) on task Supervised Classification on data set eucalyptus
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, kappa: 0.2488, kb_relative_information_score: 0.2595, mean_absolute_error: 0.2709, mean_prior_absolute_error: 0.3132, weighted_recall: 0.4457, number_of_instances: 736, predictive_accuracy: 0.4457, prior_entropy: 2.2621, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9304, unweighted_recall: 0.338,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(8) on task Supervised Classification on data set satimage
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, kappa: 0.2525, kb_relative_information_score: 0.2491, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.2701, weighted_recall: 0.4257, number_of_instances: 6430, predictive_accuracy: 0.4257, prior_entropy: 2.4834, relative_absolute_error: 0.8171, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.9052, unweighted_recall: 0.3153,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(8) on task Supervised Classification on data set electricity
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 0.2912, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7574, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8653, unweighted_recall: 0.7328,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(8) on task Supervised Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, kappa: 0.1935, kb_relative_information_score: 0.1955, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.3748, weighted_recall: 0.3901, number_of_instances: 846, predictive_accuracy: 0.3901, prior_entropy: 1.9991, relative_absolute_error: 0.9033, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.9526, unweighted_recall: 0.4022,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(8) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 0.1265, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.453, weighted_recall: 0.6994, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.931, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9411, unweighted_recall: 0.6709,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(8) on task Supervised Classification on data set splice
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, kappa: 0.4122, kb_relative_information_score: 0.334, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.4101, weighted_recall: 0.6238, number_of_instances: 3190, predictive_accuracy: 0.6238, prior_entropy: 1.4802, relative_absolute_error: 0.7348, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.8574, unweighted_recall: 0.579,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(8) on task Supervised Classification on data set spambase
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7762, f_measure: 0.7754, kappa: 0.5248, kb_relative_information_score: 0.3459, mean_absolute_error: 0.3297, mean_prior_absolute_error: 0.4776, weighted_recall: 0.7798, number_of_instances: 4601, precision: 0.7784, predictive_accuracy: 0.7798, prior_entropy: 0.9674, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8424, unweighted_recall: 0.7546,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(8) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6785, f_measure: 0.7133, kappa: 0.3621, kb_relative_information_score: 0.1738, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7174, number_of_instances: 768, precision: 0.7114, predictive_accuracy: 0.7174, prior_entropy: 0.9331, relative_absolute_error: 0.843, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.446, root_relative_squared_error: 0.9357, unweighted_recall: 0.6765,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(8) on task Supervised Classification on data set pendigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, kappa: 0.1105, kb_relative_information_score: 0.1942, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.18, weighted_recall: 0.2031, number_of_instances: 10992, predictive_accuracy: 0.2031, prior_entropy: 3.3208, relative_absolute_error: 0.9215, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.288, root_relative_squared_error: 0.9602, unweighted_recall: 0.1952,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(8) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6506, kb_relative_information_score: 0.061, mean_absolute_error: 0.3766, mean_prior_absolute_error: 0.4202, weighted_recall: 0.7, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8813, relative_absolute_error: 0.8963, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.9472, unweighted_recall: 0.5,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(8) on task Supervised Classification on data set credit-approval
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 0.5565, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, weighted_recall: 0.8551, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9912, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6946, unweighted_recall: 0.862,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(8) on task Supervised Classification on data set optdigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5909, kappa: 0.104, kb_relative_information_score: 0.1232, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.18, weighted_recall: 0.1947, number_of_instances: 5620, predictive_accuracy: 0.1947, prior_entropy: 3.3218, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.9658, unweighted_recall: 0.1944,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(8) on task Supervised Classification on data set cmc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5495, kb_relative_information_score: 0.0624, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4308, weighted_recall: 0.427, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.539, relative_absolute_error: 0.9496, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9745, unweighted_recall: 0.3333,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(8) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5807, kappa: 0.095, kb_relative_information_score: 0.1171, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.18, weighted_recall: 0.1855, number_of_instances: 2000, predictive_accuracy: 0.1855, prior_entropy: 3.3219, relative_absolute_error: 0.914, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.9568, unweighted_recall: 0.1855,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(8) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, kappa: 0.1106, kb_relative_information_score: 0.2861, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, weighted_recall: 0.1995, number_of_instances: 2000, predictive_accuracy: 0.1995, prior_entropy: 3.3219, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9446, unweighted_recall: 0.1995,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(8) on task Supervised Classification on data set mfeat-karhunen
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6396, kappa: 0.0972, kb_relative_information_score: 0.1665, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.18, weighted_recall: 0.1875, number_of_instances: 2000, predictive_accuracy: 0.1875, prior_entropy: 3.3219, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.964, unweighted_recall: 0.1875,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(8) on task Supervised Classification on data set breast-w
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.9143, kappa: 0.8108, kb_relative_information_score: 0.7085, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9142, number_of_instances: 699, precision: 0.9146, predictive_accuracy: 0.9142, prior_entropy: 0.9293, relative_absolute_error: 0.3166, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.5798, unweighted_recall: 0.907,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(8) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, kappa: 0.1011, kb_relative_information_score: 0.1224, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.18, weighted_recall: 0.191, number_of_instances: 2000, predictive_accuracy: 0.191, prior_entropy: 3.3219, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.9558, unweighted_recall: 0.191,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(8) on task Supervised Classification on data set mfeat-factors
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, kappa: 0.1, kb_relative_information_score: 0.1215, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.18, weighted_recall: 0.19, number_of_instances: 2000, predictive_accuracy: 0.19, prior_entropy: 3.3219, relative_absolute_error: 0.9133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2868, root_relative_squared_error: 0.9559, unweighted_recall: 0.19,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(8) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6114, kappa: 0.2285, kb_relative_information_score: 0.1077, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.3798, weighted_recall: 0.584, number_of_instances: 625, predictive_accuracy: 0.584, prior_entropy: 1.3181, relative_absolute_error: 0.919, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.9778, unweighted_recall: 0.4225,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(8) on task Supervised Classification on data set letter
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5495, kappa: 0.0326, kb_relative_information_score: 0.0575, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.074, weighted_recall: 0.0718, number_of_instances: 20000, predictive_accuracy: 0.0718, prior_entropy: 4.6998, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.9887, unweighted_recall: 0.0688,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(8) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6664, f_measure: 0.6233, kappa: 0.3396, kb_relative_information_score: 0.2118, mean_absolute_error: 0.397, mean_prior_absolute_error: 0.499, weighted_recall: 0.6605, number_of_instances: 3196, precision: 0.8015, predictive_accuracy: 0.6605, prior_entropy: 0.9986, relative_absolute_error: 0.7955, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.8919, unweighted_recall: 0.675,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set mnist_784
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6384, kappa: 0.1024, kb_relative_information_score: 0.1397, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.1799, weighted_recall: 0.1986, number_of_instances: 70000, predictive_accuracy: 0.1986, prior_entropy: 3.3198, relative_absolute_error: 0.9558, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.9777, unweighted_recall: 0.1833,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set analcatdata_dmft
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5219, kappa: 0.0289, kb_relative_information_score: 0.0432, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.2774, weighted_recall: 0.1882, number_of_instances: 797, predictive_accuracy: 0.1882, prior_entropy: 2.5803, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.9981, unweighted_recall: 0.1924,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set analcatdata_authorship
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, kappa: 0.4341, kb_relative_information_score: 0.3574, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.3439, weighted_recall: 0.6421, number_of_instances: 841, predictive_accuracy: 0.6421, prior_entropy: 1.7874, relative_absolute_error: 0.7116, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.355, root_relative_squared_error: 0.8562, unweighted_recall: 0.44,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set isolet
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6231, kappa: 0.0397, kb_relative_information_score: 0.1224, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.074, weighted_recall: 0.0767, number_of_instances: 7797, predictive_accuracy: 0.0767, prior_entropy: 4.7004, relative_absolute_error: 0.9637, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.9817, unweighted_recall: 0.0767,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set vowel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4849, kappa: -0.0844, kb_relative_information_score: 0.0305, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.1653, weighted_recall: 0.0141, number_of_instances: 990, predictive_accuracy: 0.0141, prior_entropy: 3.4594, relative_absolute_error: 1.0094, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.0408, unweighted_recall: 0.0141,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set sick
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.9679, kappa: 0.742, kb_relative_information_score: 0.4961, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9655, number_of_instances: 3772, precision: 0.9725, predictive_accuracy: 0.9655, prior_entropy: 0.3324, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.6617, unweighted_recall: 0.9311,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set eucalyptus
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, kappa: 0.2488, kb_relative_information_score: 0.2595, mean_absolute_error: 0.2709, mean_prior_absolute_error: 0.3132, weighted_recall: 0.4457, number_of_instances: 736, predictive_accuracy: 0.4457, prior_entropy: 2.2621, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9304, unweighted_recall: 0.338,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set satimage
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, kappa: 0.2525, kb_relative_information_score: 0.2491, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.2701, weighted_recall: 0.4257, number_of_instances: 6430, predictive_accuracy: 0.4257, prior_entropy: 2.4834, relative_absolute_error: 0.8171, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.9052, unweighted_recall: 0.3153,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set electricity
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 0.2912, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7574, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8653, unweighted_recall: 0.7328,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, kappa: 0.1935, kb_relative_information_score: 0.1955, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.3748, weighted_recall: 0.3901, number_of_instances: 846, predictive_accuracy: 0.3901, prior_entropy: 1.9991, relative_absolute_error: 0.9033, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.9526, unweighted_recall: 0.4022,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 0.1265, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.453, weighted_recall: 0.6994, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.931, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9411, unweighted_recall: 0.6709,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set splice
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, kappa: 0.4122, kb_relative_information_score: 0.334, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.4101, weighted_recall: 0.6238, number_of_instances: 3190, predictive_accuracy: 0.6238, prior_entropy: 1.4802, relative_absolute_error: 0.7348, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.8574, unweighted_recall: 0.579,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set spambase
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7762, f_measure: 0.7754, kappa: 0.5248, kb_relative_information_score: 0.3459, mean_absolute_error: 0.3297, mean_prior_absolute_error: 0.4776, weighted_recall: 0.7798, number_of_instances: 4601, precision: 0.7784, predictive_accuracy: 0.7798, prior_entropy: 0.9674, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8424, unweighted_recall: 0.7546,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6785, f_measure: 0.7133, kappa: 0.3621, kb_relative_information_score: 0.1738, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7174, number_of_instances: 768, precision: 0.7114, predictive_accuracy: 0.7174, prior_entropy: 0.9331, relative_absolute_error: 0.843, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.446, root_relative_squared_error: 0.9357, unweighted_recall: 0.6765,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set pendigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, kappa: 0.1105, kb_relative_information_score: 0.1942, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.18, weighted_recall: 0.2031, number_of_instances: 10992, predictive_accuracy: 0.2031, prior_entropy: 3.3208, relative_absolute_error: 0.9215, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.288, root_relative_squared_error: 0.9602, unweighted_recall: 0.1952,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6506, kb_relative_information_score: 0.061, mean_absolute_error: 0.3766, mean_prior_absolute_error: 0.4202, weighted_recall: 0.7, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8813, relative_absolute_error: 0.8963, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.9472, unweighted_recall: 0.5,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set credit-approval
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 0.5565, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, weighted_recall: 0.8551, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9912, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6946, unweighted_recall: 0.862,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set optdigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5909, kappa: 0.104, kb_relative_information_score: 0.1232, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.18, weighted_recall: 0.1947, number_of_instances: 5620, predictive_accuracy: 0.1947, prior_entropy: 3.3218, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.9658, unweighted_recall: 0.1944,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set cmc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5495, kb_relative_information_score: 0.0624, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4308, weighted_recall: 0.427, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.539, relative_absolute_error: 0.9496, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9745, unweighted_recall: 0.3333,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5807, kappa: 0.095, kb_relative_information_score: 0.1171, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.18, weighted_recall: 0.1855, number_of_instances: 2000, predictive_accuracy: 0.1855, prior_entropy: 3.3219, relative_absolute_error: 0.914, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.9568, unweighted_recall: 0.1855,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, kappa: 0.1106, kb_relative_information_score: 0.2861, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, weighted_recall: 0.1995, number_of_instances: 2000, predictive_accuracy: 0.1995, prior_entropy: 3.3219, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9446, unweighted_recall: 0.1995,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set mfeat-karhunen
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6396, kappa: 0.0972, kb_relative_information_score: 0.1665, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.18, weighted_recall: 0.1875, number_of_instances: 2000, predictive_accuracy: 0.1875, prior_entropy: 3.3219, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.964, unweighted_recall: 0.1875,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set breast-w
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.9143, kappa: 0.8108, kb_relative_information_score: 0.7085, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9142, number_of_instances: 699, precision: 0.9146, predictive_accuracy: 0.9142, prior_entropy: 0.9293, relative_absolute_error: 0.3166, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.5798, unweighted_recall: 0.907,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, kappa: 0.1011, kb_relative_information_score: 0.1224, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.18, weighted_recall: 0.191, number_of_instances: 2000, predictive_accuracy: 0.191, prior_entropy: 3.3219, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.9558, unweighted_recall: 0.191,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set mfeat-factors
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, kappa: 0.1, kb_relative_information_score: 0.1215, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.18, weighted_recall: 0.19, number_of_instances: 2000, predictive_accuracy: 0.19, prior_entropy: 3.3219, relative_absolute_error: 0.9133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2868, root_relative_squared_error: 0.9559, unweighted_recall: 0.19,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6114, kappa: 0.2285, kb_relative_information_score: 0.1077, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.3798, weighted_recall: 0.584, number_of_instances: 625, predictive_accuracy: 0.584, prior_entropy: 1.3181, relative_absolute_error: 0.919, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.9778, unweighted_recall: 0.4225,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set letter
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5495, kappa: 0.0326, kb_relative_information_score: 0.0575, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.074, weighted_recall: 0.0718, number_of_instances: 20000, predictive_accuracy: 0.0718, prior_entropy: 4.6998, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.9887, unweighted_recall: 0.0688,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6664, f_measure: 0.6233, kappa: 0.3396, kb_relative_information_score: 0.2118, mean_absolute_error: 0.397, mean_prior_absolute_error: 0.499, weighted_recall: 0.6605, number_of_instances: 3196, precision: 0.8015, predictive_accuracy: 0.6605, prior_entropy: 0.9986, relative_absolute_error: 0.7955, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.8919, unweighted_recall: 0.675,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set mnist_784
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6384, kappa: 0.1024, kb_relative_information_score: 0.1397, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.1799, weighted_recall: 0.1986, number_of_instances: 70000, predictive_accuracy: 0.1986, prior_entropy: 3.3198, relative_absolute_error: 0.9558, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.9777, unweighted_recall: 0.1833,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set analcatdata_dmft
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5219, kappa: 0.0289, kb_relative_information_score: 0.0432, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.2774, weighted_recall: 0.1882, number_of_instances: 797, predictive_accuracy: 0.1882, prior_entropy: 2.5803, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.9981, unweighted_recall: 0.1924,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set analcatdata_authorship
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, kappa: 0.4341, kb_relative_information_score: 0.3574, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.3439, weighted_recall: 0.6421, number_of_instances: 841, predictive_accuracy: 0.6421, prior_entropy: 1.7874, relative_absolute_error: 0.7116, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.355, root_relative_squared_error: 0.8562, unweighted_recall: 0.44,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set isolet
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6231, kappa: 0.0397, kb_relative_information_score: 0.1224, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.074, weighted_recall: 0.0767, number_of_instances: 7797, predictive_accuracy: 0.0767, prior_entropy: 4.7004, relative_absolute_error: 0.9637, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.9817, unweighted_recall: 0.0767,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set vowel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4849, kappa: -0.0844, kb_relative_information_score: 0.0305, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.1653, weighted_recall: 0.0141, number_of_instances: 990, predictive_accuracy: 0.0141, prior_entropy: 3.4594, relative_absolute_error: 1.0094, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.0408, unweighted_recall: 0.0141,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set sick
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.9679, kappa: 0.742, kb_relative_information_score: 0.4961, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9655, number_of_instances: 3772, precision: 0.9725, predictive_accuracy: 0.9655, prior_entropy: 0.3324, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.6617, unweighted_recall: 0.9311,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set eucalyptus
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, kappa: 0.2488, kb_relative_information_score: 0.2595, mean_absolute_error: 0.2709, mean_prior_absolute_error: 0.3132, weighted_recall: 0.4457, number_of_instances: 736, predictive_accuracy: 0.4457, prior_entropy: 2.2621, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9304, unweighted_recall: 0.338,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set satimage
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, kappa: 0.2525, kb_relative_information_score: 0.2491, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.2701, weighted_recall: 0.4257, number_of_instances: 6430, predictive_accuracy: 0.4257, prior_entropy: 2.4834, relative_absolute_error: 0.8171, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.9052, unweighted_recall: 0.3153,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set electricity
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 0.2912, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7574, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8653, unweighted_recall: 0.7328,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, kappa: 0.1935, kb_relative_information_score: 0.1955, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.3748, weighted_recall: 0.3901, number_of_instances: 846, predictive_accuracy: 0.3901, prior_entropy: 1.9991, relative_absolute_error: 0.9033, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.9526, unweighted_recall: 0.4022,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 0.1265, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.453, weighted_recall: 0.6994, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.931, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9411, unweighted_recall: 0.6709,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set splice
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, kappa: 0.4122, kb_relative_information_score: 0.334, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.4101, weighted_recall: 0.6238, number_of_instances: 3190, predictive_accuracy: 0.6238, prior_entropy: 1.4802, relative_absolute_error: 0.7348, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.8574, unweighted_recall: 0.579,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set spambase
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7762, f_measure: 0.7754, kappa: 0.5248, kb_relative_information_score: 0.3459, mean_absolute_error: 0.3297, mean_prior_absolute_error: 0.4776, weighted_recall: 0.7798, number_of_instances: 4601, precision: 0.7784, predictive_accuracy: 0.7798, prior_entropy: 0.9674, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8424, unweighted_recall: 0.7546,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6785, f_measure: 0.7133, kappa: 0.3621, kb_relative_information_score: 0.1738, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7174, number_of_instances: 768, precision: 0.7114, predictive_accuracy: 0.7174, prior_entropy: 0.9331, relative_absolute_error: 0.843, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.446, root_relative_squared_error: 0.9357, unweighted_recall: 0.6765,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set pendigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, kappa: 0.1105, kb_relative_information_score: 0.1942, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.18, weighted_recall: 0.2031, number_of_instances: 10992, predictive_accuracy: 0.2031, prior_entropy: 3.3208, relative_absolute_error: 0.9215, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.288, root_relative_squared_error: 0.9602, unweighted_recall: 0.1952,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6506, kb_relative_information_score: 0.061, mean_absolute_error: 0.3766, mean_prior_absolute_error: 0.4202, weighted_recall: 0.7, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8813, relative_absolute_error: 0.8963, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.9472, unweighted_recall: 0.5,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set credit-approval
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 0.5565, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, weighted_recall: 0.8551, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9912, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6946, unweighted_recall: 0.862,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set optdigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5909, kappa: 0.104, kb_relative_information_score: 0.1232, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.18, weighted_recall: 0.1947, number_of_instances: 5620, predictive_accuracy: 0.1947, prior_entropy: 3.3218, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.9658, unweighted_recall: 0.1944,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set cmc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5495, kb_relative_information_score: 0.0624, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4308, weighted_recall: 0.427, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.539, relative_absolute_error: 0.9496, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9745, unweighted_recall: 0.3333,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(7) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5807, kappa: 0.095, kb_relative_information_score: 0.1171, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.18, weighted_recall: 0.1855, number_of_instances: 2000, predictive_accuracy: 0.1855, prior_entropy: 3.3219, relative_absolute_error: 0.914, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.9568, unweighted_recall: 0.1855,