OpenML

Evan Peterson 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set letter

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.881, kappa: 0.8761, kb_relative_information_score: 0.8794, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.074, weighted_recall: 0.8809, number_of_instances: 20000, precision: 0.8812, predictive_accuracy: 0.8809, prior_entropy: 4.6998, relative_absolute_error: 0.1239, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.4977, unweighted_recall: 0.8806,

Evan Peterson 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set letter

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.883, kappa: 0.8782, kb_relative_information_score: 0.8814, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.074, weighted_recall: 0.8829, number_of_instances: 20000, precision: 0.8832, predictive_accuracy: 0.8829, prior_entropy: 4.6998, relative_absolute_error: 0.1218, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.4935, unweighted_recall: 0.8827,

Evan Peterson 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set balance-scale

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.7948, kappa: 0.6214, kb_relative_information_score: 0.5608, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7792, number_of_instances: 625, precision: 0.8113, predictive_accuracy: 0.7792, prior_entropy: 1.3181, relative_absolute_error: 0.3876, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.8808, unweighted_recall: 0.5693,

Evan Peterson 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set letter

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.881, kappa: 0.8761, kb_relative_information_score: 0.8793, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.074, weighted_recall: 0.8809, number_of_instances: 20000, precision: 0.8812, predictive_accuracy: 0.8809, prior_entropy: 4.6998, relative_absolute_error: 0.1239, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.4978, unweighted_recall: 0.8806,

Evan Peterson 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set letter

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.8803, kappa: 0.8754, kb_relative_information_score: 0.8787, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.074, weighted_recall: 0.8802, number_of_instances: 20000, precision: 0.8805, predictive_accuracy: 0.8802, prior_entropy: 4.6998, relative_absolute_error: 0.1246, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.096, root_relative_squared_error: 0.4992, unweighted_recall: 0.88,

Evan Peterson 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set letter

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.8826, kappa: 0.8778, kb_relative_information_score: 0.881, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.074, weighted_recall: 0.8825, number_of_instances: 20000, precision: 0.8828, predictive_accuracy: 0.8825, prior_entropy: 4.6998, relative_absolute_error: 0.1222, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.4944, unweighted_recall: 0.8822,

Peng YU 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) 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,

Peng YU 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set blood-transfusion-service-center

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6592, kb_relative_information_score: 0.0135, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.363, weighted_recall: 0.762, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, relative_absolute_error: 0.9025, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.9508, unweighted_recall: 0.5,

Peng YU 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set Amazon_employee_access

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5367, kb_relative_information_score: -0.2061, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9421, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.319, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.9983, unweighted_recall: 0.5,

Peng YU 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set car

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, kb_relative_information_score: 0.0974, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, weighted_recall: 0.7002, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2058, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244, unweighted_recall: 0.25,

Peng YU 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set segment

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6429, kappa: 0.1667, kb_relative_information_score: 0.2108, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.2449, weighted_recall: 0.2857, number_of_instances: 2310, predictive_accuracy: 0.2857, prior_entropy: 2.8074, relative_absolute_error: 0.8333, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.9129, unweighted_recall: 0.2857,

Peng YU 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set Fashion-MNIST

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.709, kappa: 0.1103, kb_relative_information_score: 0.2329, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.18, weighted_recall: 0.1992, number_of_instances: 70000, predictive_accuracy: 0.1992, prior_entropy: 3.3219, relative_absolute_error: 0.9095, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.9537, unweighted_recall: 0.1992,

Peng YU 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) 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,

Peng YU 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set credit-g

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6608, kb_relative_information_score: 0.0788, mean_absolute_error: 0.3724, 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: 0.8862, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.9419, unweighted_recall: 0.5,

Peng YU 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set Australian

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 0.5564, 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: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951, unweighted_recall: 0.862,

Peng YU 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set jungle_chess_2pcs_raw_endgame_complete

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, kappa: 0.3176, kb_relative_information_score: 0.1738, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.3832, weighted_recall: 0.6159, number_of_instances: 44819, predictive_accuracy: 0.6159, prior_entropy: 1.3491, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.9348, unweighted_recall: 0.4648,

Peng YU 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set kc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, kb_relative_information_score: 0.0042, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8454, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, relative_absolute_error: 0.8775, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.9392, unweighted_recall: 0.5,

Peng YU 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set covertype

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7058, kappa: 0.3504, kb_relative_information_score: 0.2228, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.178, weighted_recall: 0.6336, number_of_instances: 581012, predictive_accuracy: 0.6336, prior_entropy: 1.7387, relative_absolute_error: 0.8604, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.9276, unweighted_recall: 0.2119,

Peng YU 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set phoneme

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.7603, kappa: 0.4471, kb_relative_information_score: 0.2071, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7531, number_of_instances: 5404, precision: 0.7764, predictive_accuracy: 0.7531, prior_entropy: 0.8732, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8912, unweighted_recall: 0.7407,

Peng YU 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set cnae-9

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.591, kappa: 0.1063, kb_relative_information_score: 0.1333, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.1975, weighted_recall: 0.2056, number_of_instances: 1080, predictive_accuracy: 0.2056, prior_entropy: 3.1699, relative_absolute_error: 0.8969, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.9471, unweighted_recall: 0.2056,

Peng YU 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set bank-marketing

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, kb_relative_information_score: 0.0315, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.2066, weighted_recall: 0.883, number_of_instances: 45211, predictive_accuracy: 0.883, prior_entropy: 0.5206, relative_absolute_error: 0.8774, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.9377, unweighted_recall: 0.5,

Peng YU 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set connect-4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5737, kb_relative_information_score: 0.0256, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.3313, weighted_recall: 0.6583, number_of_instances: 67557, predictive_accuracy: 0.6583, prior_entropy: 1.2184, relative_absolute_error: 0.978, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.9889, unweighted_recall: 0.3333,

Peng YU 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set shuttle

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, kappa: 0.6648, kb_relative_information_score: 0.521, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1016, weighted_recall: 0.8689, number_of_instances: 58000, predictive_accuracy: 0.8689, prior_entropy: 0.9603, relative_absolute_error: 0.4938, root_mean_prior_squared_error: 0.2254, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.7028, unweighted_recall: 0.2721,

Peng YU 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) 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,

Peng YU 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set nomao

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 0.4488, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, weighted_recall: 0.8532, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591, unweighted_recall: 0.8336,

Peng YU 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set anneal

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, kappa: 0.4503, kb_relative_information_score: 0.3383, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.1343, weighted_recall: 0.7717, number_of_instances: 898, predictive_accuracy: 0.7717, prior_entropy: 1.1915, relative_absolute_error: 0.7195, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.8515,

Peng YU 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set tamilnadu-electricity

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6334, kappa: 0.0674, kb_relative_information_score: 0.1379, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.0945, weighted_recall: 0.1265, number_of_instances: 45781, predictive_accuracy: 0.1265, prior_entropy: 4.2454, relative_absolute_error: 0.9432, root_mean_prior_squared_error: 0.2174, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.9712, unweighted_recall: 0.1,

Peng YU 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set christine

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6444, f_measure: 0.6284, kappa: 0.2739, kb_relative_information_score: 0.1152, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.5, weighted_recall: 0.637, number_of_instances: 5418, precision: 0.6509, predictive_accuracy: 0.637, prior_entropy: 1, relative_absolute_error: 0.9057, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4786, root_relative_squared_error: 0.9572, unweighted_recall: 0.637,

Peng YU 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set dilbert

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, kappa: 0.169, kb_relative_information_score: 0.1608, mean_absolute_error: 0.2916, mean_prior_absolute_error: 0.32, weighted_recall: 0.3391, number_of_instances: 10000, predictive_accuracy: 0.3391, prior_entropy: 2.3215, relative_absolute_error: 0.9115, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.9569, unweighted_recall: 0.3313,

Peng YU 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set jasmine

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.7493, kappa: 0.5255, kb_relative_information_score: 0.3747, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.5, weighted_recall: 0.7627, number_of_instances: 2984, precision: 0.8342, predictive_accuracy: 0.7627, prior_entropy: 1, relative_absolute_error: 0.6489, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8056, unweighted_recall: 0.7627,

Peng YU 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set numerai28.6

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5119, f_measure: 0.4903, kappa: 0.0238, kb_relative_information_score: 0.0012, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5141, number_of_instances: 96320, precision: 0.5146, predictive_accuracy: 0.5141, prior_entropy: 0.9999, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9997, unweighted_recall: 0.5118,

Peng YU 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set volkert

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6405, kappa: 0.1958, kb_relative_information_score: 0.1541, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.1703, weighted_recall: 0.3586, number_of_instances: 58310, predictive_accuracy: 0.3586, prior_entropy: 2.9613, relative_absolute_error: 0.8898, root_mean_prior_squared_error: 0.2918, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.9434, unweighted_recall: 0.1731,

Peng YU 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set fabert

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5281, kappa: 0.0471, kb_relative_information_score: 0.0407, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.2392, weighted_recall: 0.2681, number_of_instances: 8237, predictive_accuracy: 0.2681, prior_entropy: 2.7046, relative_absolute_error: 0.972, root_mean_prior_squared_error: 0.3458, root_mean_squared_error: 0.341, root_relative_squared_error: 0.986, unweighted_recall: 0.1695,

Peng YU 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set sylvine

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.911, kappa: 0.8224, kb_relative_information_score: 0.717, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.5, weighted_recall: 0.9112, number_of_instances: 5124, precision: 0.9141, predictive_accuracy: 0.9112, prior_entropy: 1, relative_absolute_error: 0.3164, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2824, root_relative_squared_error: 0.5648, unweighted_recall: 0.9112,

Peng YU 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set guillermo

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5825, f_measure: 0.6126, kappa: 0.1853, kb_relative_information_score: 0.0421, mean_absolute_error: 0.4631, mean_prior_absolute_error: 0.4801, weighted_recall: 0.6207, number_of_instances: 20000, precision: 0.6111, predictive_accuracy: 0.6207, prior_entropy: 0.971, relative_absolute_error: 0.9648, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4813, root_relative_squared_error: 0.9823, unweighted_recall: 0.5898,

Peng YU 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set riccardo

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5721, f_measure: 0.7186, kappa: 0.1968, kb_relative_information_score: 0.0543, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.375, weighted_recall: 0.7612, number_of_instances: 20000, precision: 0.7265, predictive_accuracy: 0.7612, prior_entropy: 0.8113, relative_absolute_error: 0.9468, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.9731, unweighted_recall: 0.578,

Peng YU 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set airlines

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5886, f_measure: 0.5782, kappa: 0.1895, kb_relative_information_score: 0.0689, mean_absolute_error: 0.4671, mean_prior_absolute_error: 0.494, weighted_recall: 0.6236, number_of_instances: 539383, precision: 0.6479, predictive_accuracy: 0.6236, prior_entropy: 0.9914, relative_absolute_error: 0.9455, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4833, root_relative_squared_error: 0.9724, unweighted_recall: 0.5891,

Peng YU 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set MiniBooNE

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, f_measure: 0.8251, kappa: 0.5544, kb_relative_information_score: 0.3471, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.4037, weighted_recall: 0.8318, number_of_instances: 130064, precision: 0.8259, predictive_accuracy: 0.8318, prior_entropy: 0.8563, relative_absolute_error: 0.6838, root_mean_prior_squared_error: 0.4493, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.8274, unweighted_recall: 0.7591,

Peng YU 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set helena

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5811, kappa: 0.0446, kb_relative_information_score: 0.0499, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.0195, weighted_recall: 0.0906, number_of_instances: 65196, predictive_accuracy: 0.0906, prior_entropy: 5.9777, relative_absolute_error: 0.9812, root_mean_prior_squared_error: 0.0989, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.9907, unweighted_recall: 0.0172,

Peng YU 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set jannis

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, kappa: 0.2151, kb_relative_information_score: 0.1474, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.3194, weighted_recall: 0.5194, number_of_instances: 83733, predictive_accuracy: 0.5194, prior_entropy: 1.5995, relative_absolute_error: 0.9128, root_mean_prior_squared_error: 0.3996, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.9556, unweighted_recall: 0.3284,

Peng YU 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set robert

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, kappa: 0.0668, kb_relative_information_score: 0.1003, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.18, weighted_recall: 0.1578, number_of_instances: 10000, predictive_accuracy: 0.1578, prior_entropy: 3.3214, relative_absolute_error: 0.9792, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.297, root_relative_squared_error: 0.9901, unweighted_recall: 0.162,

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