OpenML

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set kr-vs-kp

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9972, kappa: 0.9944, kb_relative_information_score: 0.9944, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9972, predictive_accuracy: 0.9972, prior_entropy: 0.9986, recall: 0.9972, relative_absolute_error: 0.0056, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0531, root_relative_squared_error: 0.1062,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

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: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.931, recall: 1, root_mean_prior_squared_error: 0.4759,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6464, f_measure: 0.707, kappa: 0.3471, kb_relative_information_score: 0.426, mean_absolute_error: 0.2495, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7945, predictive_accuracy: 0.7505, prior_entropy: 0.931, recall: 0.7505, relative_absolute_error: 0.5507, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0496,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9969, kappa: 0.9931, kb_relative_information_score: 0.9928, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.931, recall: 0.9969, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.056, root_relative_squared_error: 0.1176,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 0.9784, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.931, recall: 0.9906, relative_absolute_error: 0.0207, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.2037,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7254, f_measure: 0.7829, kappa: 0.5099, kb_relative_information_score: 0.5485, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8297, predictive_accuracy: 0.8038, prior_entropy: 0.931, recall: 0.8038, relative_absolute_error: 0.4332, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.443, root_relative_squared_error: 0.9309,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.8913, kappa: 0.755, kb_relative_information_score: 0.7598, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9041, predictive_accuracy: 0.8956, prior_entropy: 0.931, recall: 0.8956, relative_absolute_error: 0.2304, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.6789,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.8959, kappa: 0.7655, kb_relative_information_score: 0.7694, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9075, predictive_accuracy: 0.8998, prior_entropy: 0.931, recall: 0.8998, relative_absolute_error: 0.2212, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.6652,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9779, kappa: 0.9509, kb_relative_information_score: 0.9496, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9788, predictive_accuracy: 0.9781, prior_entropy: 0.931, recall: 0.9781, relative_absolute_error: 0.0484, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.3111,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 0.9976, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.931, recall: 0.999, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0323, root_relative_squared_error: 0.0679,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 0.9808, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.931, recall: 0.9916, relative_absolute_error: 0.0184, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.192,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set PhishingWebsites

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9676, kappa: 0.9343, kb_relative_information_score: 0.934, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9676, predictive_accuracy: 0.9676, prior_entropy: 0.9906, recall: 0.9676, relative_absolute_error: 0.0656, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.18, root_relative_squared_error: 0.3623,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9937, kappa: 0.9861, kb_relative_information_score: 0.9856, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9938, predictive_accuracy: 0.9937, prior_entropy: 0.931, recall: 0.9937, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.1663,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5151, f_measure: 0.54, kappa: 0.039, kb_relative_information_score: 0.2266, mean_absolute_error: 0.3361, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.778, predictive_accuracy: 0.6639, prior_entropy: 0.931, recall: 0.6639, relative_absolute_error: 0.742, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5798, root_relative_squared_error: 1.2183,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9969, kappa: 0.9931, kb_relative_information_score: 0.9928, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.931, recall: 0.9969, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.056, root_relative_squared_error: 0.1176,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set PhishingWebsites

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9676, kappa: 0.9343, kb_relative_information_score: 0.934, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9676, predictive_accuracy: 0.9676, prior_entropy: 0.9906, recall: 0.9676, relative_absolute_error: 0.0656, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.18, root_relative_squared_error: 0.3623,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 0.9976, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.931, recall: 0.999, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0323, root_relative_squared_error: 0.0679,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

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: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.931, recall: 1, root_mean_prior_squared_error: 0.4759,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

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: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.931, recall: 1, root_mean_prior_squared_error: 0.4759,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

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: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.931, recall: 1, root_mean_prior_squared_error: 0.4759,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 0.976, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 0.931, recall: 0.9896, relative_absolute_error: 0.023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.2147,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9885, kappa: 0.9745, kb_relative_information_score: 0.9736, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9886, predictive_accuracy: 0.9885, prior_entropy: 0.931, recall: 0.9885, relative_absolute_error: 0.0253, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1072, root_relative_squared_error: 0.2252,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9937, kappa: 0.9861, kb_relative_information_score: 0.9856, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9938, predictive_accuracy: 0.9937, prior_entropy: 0.931, recall: 0.9937, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.1663,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9874, kappa: 0.9721, kb_relative_information_score: 0.9712, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9876, predictive_accuracy: 0.9875, prior_entropy: 0.931, recall: 0.9875, relative_absolute_error: 0.0277, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.2352,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9811, kappa: 0.958, kb_relative_information_score: 0.9568, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9817, predictive_accuracy: 0.9812, prior_entropy: 0.931, recall: 0.9812, relative_absolute_error: 0.0415, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.288,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9969, kappa: 0.9931, kb_relative_information_score: 0.9928, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.931, recall: 0.9969, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.056, root_relative_squared_error: 0.1176,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

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: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.931, recall: 1, root_mean_prior_squared_error: 0.4759,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set PhishingWebsites

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.9647, kappa: 0.9284, kb_relative_information_score: 0.9281, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9647, predictive_accuracy: 0.9647, prior_entropy: 0.9906, recall: 0.9647, relative_absolute_error: 0.0715, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.3781,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

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: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.931, recall: 1, root_mean_prior_squared_error: 0.4759,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.9758, kappa: 0.9461, kb_relative_information_score: 0.9448, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9768, predictive_accuracy: 0.976, prior_entropy: 0.931, recall: 0.976, relative_absolute_error: 0.053, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.3256,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set PhishingWebsites

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9648, kappa: 0.9286, kb_relative_information_score: 0.9283, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9648, predictive_accuracy: 0.9648, prior_entropy: 0.9906, recall: 0.9648, relative_absolute_error: 0.0713, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.3776,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.9521, kappa: 0.8929, kb_relative_information_score: 0.8919, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9562, predictive_accuracy: 0.953, prior_entropy: 0.931, recall: 0.953, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4554,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set kr-vs-kp

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.9577, kappa: 0.9151, kb_relative_information_score: 0.9153, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9595, predictive_accuracy: 0.9578, prior_entropy: 0.9986, recall: 0.9578, relative_absolute_error: 0.0846, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.4115,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.561, f_measure: 0.5953, kappa: 0.119, kb_relative_information_score: 0.0585, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6013, predictive_accuracy: 0.5908, prior_entropy: 0.931, recall: 0.5908, relative_absolute_error: 0.9033, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6397, root_relative_squared_error: 1.3442,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

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: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.931, recall: 1, root_mean_prior_squared_error: 0.4759,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

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: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.931, recall: 1, root_mean_prior_squared_error: 0.4759,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 0.9832, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.931, recall: 0.9927, relative_absolute_error: 0.0161, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.1796,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 0.9808, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.931, recall: 0.9916, relative_absolute_error: 0.0184, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.192,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 0.976, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 0.931, recall: 0.9896, relative_absolute_error: 0.023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.2147,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.9007, kappa: 0.7758, kb_relative_information_score: 0.7814, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9171, predictive_accuracy: 0.905, prior_entropy: 0.931, recall: 0.905, relative_absolute_error: 0.2097, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.6477,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

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: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.931, recall: 1, root_mean_prior_squared_error: 0.4759,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

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: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.931, recall: 1, root_mean_prior_squared_error: 0.4759,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.9099, kappa: 0.7968, kb_relative_information_score: 0.8006, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9235, predictive_accuracy: 0.9134, prior_entropy: 0.931, recall: 0.9134, relative_absolute_error: 0.1913, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.6185,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9843, kappa: 0.9651, kb_relative_information_score: 0.964, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9847, predictive_accuracy: 0.9843, prior_entropy: 0.931, recall: 0.9843, relative_absolute_error: 0.0346, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1251, root_relative_squared_error: 0.2629,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5947, f_measure: 0.6489, kappa: 0.2327, kb_relative_information_score: 0.3491, mean_absolute_error: 0.2829, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7837, predictive_accuracy: 0.7171, prior_entropy: 0.931, recall: 0.7171, relative_absolute_error: 0.6245, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5319, root_relative_squared_error: 1.1177,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7428, f_measure: 0.7992, kappa: 0.5463, kb_relative_information_score: 0.5797, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8436, predictive_accuracy: 0.8173, prior_entropy: 0.931, recall: 0.8173, relative_absolute_error: 0.4032, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8981,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 0.976, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 0.931, recall: 0.9896, relative_absolute_error: 0.023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.2147,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6929, f_measure: 0.7497, kappa: 0.4344, kb_relative_information_score: 0.4764, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7836, predictive_accuracy: 0.7724, prior_entropy: 0.931, recall: 0.7724, relative_absolute_error: 0.5023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.477, root_relative_squared_error: 1.0024,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, f_measure: 0.7991, kappa: 0.5464, kb_relative_information_score: 0.5581, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.808, predictive_accuracy: 0.8079, prior_entropy: 0.931, recall: 0.8079, relative_absolute_error: 0.424, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.9209,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.8702, kappa: 0.7077, kb_relative_information_score: 0.7118, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.879, predictive_accuracy: 0.8747, prior_entropy: 0.931, recall: 0.8747, relative_absolute_error: 0.2765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7437,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set PhishingWebsites

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9703, kappa: 0.9398, kb_relative_information_score: 0.9395, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9703, predictive_accuracy: 0.9703, prior_entropy: 0.9906, recall: 0.9703, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.3468,

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