OpenML

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set kr-vs-kp

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9962, kappa: 0.9925, kb_relative_information_score: 0.9925, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.9986, recall: 0.9962, relative_absolute_error: 0.0075, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0613, root_relative_squared_error: 0.1227,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) 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)(2) 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)(2) 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)(2) 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)(2) 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)(2) 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)(2) 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)(2) 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)(2) 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)(2) 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)(2) 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)(2) 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)(2) 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)(2) 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)(2) 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)(2) 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)(2) 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)(2) 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)(2) 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)(2) 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)(2) 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)(2) 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)(2) 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)(2) 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)(2) 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)(2) 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)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.9456, kappa: 0.9116, kb_relative_information_score: 0.9164, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9458, predictive_accuracy: 0.9455, prior_entropy: 1.4802, recall: 0.9455, relative_absolute_error: 0.0887, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.4211,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9365, kappa: 0.8968, kb_relative_information_score: 0.9021, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9367, predictive_accuracy: 0.9364, prior_entropy: 1.4802, recall: 0.9364, relative_absolute_error: 0.1035, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.206, root_relative_squared_error: 0.4549,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.9214, kappa: 0.8726, kb_relative_information_score: 0.8798, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9219, predictive_accuracy: 0.9213, prior_entropy: 1.4802, recall: 0.9213, relative_absolute_error: 0.1279, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.229, root_relative_squared_error: 0.5058,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5153, f_measure: 0.3865, kappa: 0.0388, kb_relative_information_score: 0.2273, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.7544, predictive_accuracy: 0.5335, prior_entropy: 1.4802, recall: 0.5335, relative_absolute_error: 0.7583, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.5576, root_relative_squared_error: 1.2316,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2029, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4802, recall: 0.5188, relative_absolute_error: 0.7823, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.5664, root_relative_squared_error: 1.2509,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.9287, kappa: 0.8842, kb_relative_information_score: 0.8906, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9291, predictive_accuracy: 0.9285, prior_entropy: 1.4802, recall: 0.9285, relative_absolute_error: 0.1162, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.4821,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5956, f_measure: 0.5318, kappa: 0.2319, kb_relative_information_score: 0.3551, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.776, predictive_accuracy: 0.6107, prior_entropy: 1.4802, recall: 0.6107, relative_absolute_error: 0.633, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.5095, root_relative_squared_error: 1.1252,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.9259, kappa: 0.8798, kb_relative_information_score: 0.8867, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9264, predictive_accuracy: 0.9257, prior_entropy: 1.4802, recall: 0.9257, relative_absolute_error: 0.1208, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.4915,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9597, kappa: 0.9346, kb_relative_information_score: 0.9392, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9602, predictive_accuracy: 0.9596, prior_entropy: 1.4802, recall: 0.9596, relative_absolute_error: 0.0657, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3626,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.9406, kappa: 0.9035, kb_relative_information_score: 0.9089, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9408, predictive_accuracy: 0.9404, prior_entropy: 1.4802, recall: 0.9404, relative_absolute_error: 0.0968, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4401,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9547, kappa: 0.9264, kb_relative_information_score: 0.931, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1.4802, recall: 0.9545, relative_absolute_error: 0.0739, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3845,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2029, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4802, recall: 0.5188, relative_absolute_error: 0.7823, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.5664, root_relative_squared_error: 1.2509,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9625, kappa: 0.9391, kb_relative_information_score: 0.9434, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9628, predictive_accuracy: 0.9624, prior_entropy: 1.4802, recall: 0.9624, relative_absolute_error: 0.0612, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.3497,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6079, f_measure: 0.5514, kappa: 0.2603, kb_relative_information_score: 0.3749, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.7802, predictive_accuracy: 0.6226, prior_entropy: 1.4802, recall: 0.6226, relative_absolute_error: 0.6136, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.1078,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9637, kappa: 0.9411, kb_relative_information_score: 0.9451, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.964, predictive_accuracy: 0.9636, prior_entropy: 1.4802, recall: 0.9636, relative_absolute_error: 0.0591, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.3439,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.955, kappa: 0.9269, kb_relative_information_score: 0.9315, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9553, predictive_accuracy: 0.9549, prior_entropy: 1.4802, recall: 0.9549, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.3831,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.964, kappa: 0.9416, kb_relative_information_score: 0.9453, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9642, predictive_accuracy: 0.9639, prior_entropy: 1.4802, recall: 0.9639, relative_absolute_error: 0.0586, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.155, root_relative_squared_error: 0.3424,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9648, kappa: 0.9425, kb_relative_information_score: 0.9439, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9651, predictive_accuracy: 0.9649, prior_entropy: 1.4802, recall: 0.9649, relative_absolute_error: 0.0571, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.153, root_relative_squared_error: 0.3379,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9541, kappa: 0.9254, kb_relative_information_score: 0.9298, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9544, predictive_accuracy: 0.9539, prior_entropy: 1.4802, recall: 0.9539, relative_absolute_error: 0.0749, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3871,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9686, kappa: 0.949, kb_relative_information_score: 0.9511, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9686, predictive_accuracy: 0.9687, prior_entropy: 1.4802, recall: 0.9687, relative_absolute_error: 0.051, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.3193,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5975, f_measure: 0.5349, kappa: 0.2364, kb_relative_information_score: 0.3582, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.7767, predictive_accuracy: 0.6125, prior_entropy: 1.4802, recall: 0.6125, relative_absolute_error: 0.6299, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.5082, root_relative_squared_error: 1.1225,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.9309, kappa: 0.8877, kb_relative_information_score: 0.8939, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9311, predictive_accuracy: 0.9307, prior_entropy: 1.4802, recall: 0.9307, relative_absolute_error: 0.1126, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4746,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9659, kappa: 0.9446, kb_relative_information_score: 0.9484, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9661, predictive_accuracy: 0.9658, prior_entropy: 1.4802, recall: 0.9658, relative_absolute_error: 0.0555, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.3333,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9631, kappa: 0.9401, kb_relative_information_score: 0.9443, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9635, predictive_accuracy: 0.963, prior_entropy: 1.4802, recall: 0.963, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.157, root_relative_squared_error: 0.3468,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8777, kappa: 0.8011, kb_relative_information_score: 0.811, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.878, predictive_accuracy: 0.8777, prior_entropy: 1.4802, recall: 0.8777, relative_absolute_error: 0.1988, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2855, root_relative_squared_error: 0.6305,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6353, f_measure: 0.5927, kappa: 0.3216, kb_relative_information_score: 0.4185, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.7895, predictive_accuracy: 0.6489, prior_entropy: 1.4802, recall: 0.6489, relative_absolute_error: 0.5708, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4838, root_relative_squared_error: 1.0685,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9547, kappa: 0.9264, kb_relative_information_score: 0.9308, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9549, predictive_accuracy: 0.9545, prior_entropy: 1.4802, recall: 0.9545, relative_absolute_error: 0.0739, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3845,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8968, kappa: 0.8276, kb_relative_information_score: 0.8324, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9115, predictive_accuracy: 0.8984, prior_entropy: 1.4802, recall: 0.8984, relative_absolute_error: 0.1651, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2602, root_relative_squared_error: 0.5747,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9634, kappa: 0.9406, kb_relative_information_score: 0.9446, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9637, predictive_accuracy: 0.9633, prior_entropy: 1.4802, recall: 0.9633, relative_absolute_error: 0.0596, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.3453,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.9415, kappa: 0.9039, kb_relative_information_score: 0.9054, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9446, predictive_accuracy: 0.942, prior_entropy: 1.4802, recall: 0.942, relative_absolute_error: 0.0943, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.4343,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9509, kappa: 0.9203, kb_relative_information_score: 0.925, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9513, predictive_accuracy: 0.9508, prior_entropy: 1.4802, recall: 0.9508, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.4,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9556, kappa: 0.9279, kb_relative_information_score: 0.9324, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9558, predictive_accuracy: 0.9555, prior_entropy: 1.4802, recall: 0.9555, relative_absolute_error: 0.0724, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.3805,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9648, kappa: 0.9426, kb_relative_information_score: 0.9441, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.965, predictive_accuracy: 0.9649, prior_entropy: 1.4802, recall: 0.9649, relative_absolute_error: 0.0571, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.153, root_relative_squared_error: 0.3379,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.9349, kappa: 0.8943, kb_relative_information_score: 0.8997, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9351, predictive_accuracy: 0.9348, prior_entropy: 1.4802, recall: 0.9348, relative_absolute_error: 0.106, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.4605,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.9329, kappa: 0.8892, kb_relative_information_score: 0.891, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9379, predictive_accuracy: 0.9335, prior_entropy: 1.4802, recall: 0.9335, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.4649,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.593, f_measure: 0.5275, kappa: 0.2259, kb_relative_information_score: 0.351, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.7752, predictive_accuracy: 0.6082, prior_entropy: 1.4802, recall: 0.6082, relative_absolute_error: 0.637, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.5111, root_relative_squared_error: 1.1288,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9653, kappa: 0.9436, kb_relative_information_score: 0.9475, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9655, predictive_accuracy: 0.9652, prior_entropy: 1.4802, recall: 0.9652, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3364,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9513, kappa: 0.9209, kb_relative_information_score: 0.9256, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9516, predictive_accuracy: 0.9511, prior_entropy: 1.4802, recall: 0.9511, relative_absolute_error: 0.0795, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.3988,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9653, kappa: 0.9436, kb_relative_information_score: 0.9475, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9655, predictive_accuracy: 0.9652, prior_entropy: 1.4802, recall: 0.9652, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3364,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.9214, kappa: 0.8726, kb_relative_information_score: 0.8798, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9219, predictive_accuracy: 0.9213, prior_entropy: 1.4802, recall: 0.9213, relative_absolute_error: 0.1279, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.229, root_relative_squared_error: 0.5058,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6281, f_measure: 0.5821, kappa: 0.3057, kb_relative_information_score: 0.407, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.787, predictive_accuracy: 0.642, prior_entropy: 1.4802, recall: 0.642, relative_absolute_error: 0.582, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4885, root_relative_squared_error: 1.0789,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9683, kappa: 0.9486, kb_relative_information_score: 0.9513, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9684, predictive_accuracy: 0.9683, prior_entropy: 1.4802, recall: 0.9683, relative_absolute_error: 0.0515, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1453, root_relative_squared_error: 0.3209,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.9432, kappa: 0.9069, kb_relative_information_score: 0.909, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9447, predictive_accuracy: 0.9436, prior_entropy: 1.4802, recall: 0.9436, relative_absolute_error: 0.0917, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.194, root_relative_squared_error: 0.4283,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9668, kappa: 0.9461, kb_relative_information_score: 0.9495, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.967, predictive_accuracy: 0.9668, prior_entropy: 1.4802, recall: 0.9668, relative_absolute_error: 0.054, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.3287,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9547, kappa: 0.9264, kb_relative_information_score: 0.9308, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9549, predictive_accuracy: 0.9545, prior_entropy: 1.4802, recall: 0.9545, relative_absolute_error: 0.0739, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3845,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9686, kappa: 0.9489, kb_relative_information_score: 0.9505, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9686, predictive_accuracy: 0.9687, prior_entropy: 1.4802, recall: 0.9687, relative_absolute_error: 0.051, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.3193,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9569, kappa: 0.93, kb_relative_information_score: 0.9347, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9573, predictive_accuracy: 0.9567, prior_entropy: 1.4802, recall: 0.9567, relative_absolute_error: 0.0703, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.3751,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8928, kappa: 0.8257, kb_relative_information_score: 0.8338, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.8929, predictive_accuracy: 0.8928, prior_entropy: 1.4802, recall: 0.8928, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.5904,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9678, kappa: 0.9476, kb_relative_information_score: 0.9509, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9679, predictive_accuracy: 0.9677, prior_entropy: 1.4802, recall: 0.9677, relative_absolute_error: 0.0525, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.324,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9671, kappa: 0.9466, kb_relative_information_score: 0.95, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9673, predictive_accuracy: 0.9671, prior_entropy: 1.4802, recall: 0.9671, relative_absolute_error: 0.0535, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.3272,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6301, f_measure: 0.585, kappa: 0.3101, kb_relative_information_score: 0.4102, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.7877, predictive_accuracy: 0.6439, prior_entropy: 1.4802, recall: 0.6439, relative_absolute_error: 0.5789, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4872, root_relative_squared_error: 1.0761,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, f_measure: 0.3607, kappa: 0.0075, kb_relative_information_score: 0.2075, mean_absolute_error: 0.3189, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.7511, predictive_accuracy: 0.5216, prior_entropy: 1.4802, recall: 0.5216, relative_absolute_error: 0.7777, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.5647, root_relative_squared_error: 1.2472,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2029, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4802, recall: 0.5188, relative_absolute_error: 0.7823, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.5664, root_relative_squared_error: 1.2509,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9662, kappa: 0.9451, kb_relative_information_score: 0.9487, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9664, predictive_accuracy: 0.9661, prior_entropy: 1.4802, recall: 0.9661, relative_absolute_error: 0.055, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.3318,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6229, f_measure: 0.5743, kappa: 0.2941, kb_relative_information_score: 0.3987, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.7852, predictive_accuracy: 0.637, prior_entropy: 1.4802, recall: 0.637, relative_absolute_error: 0.5902, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4919, root_relative_squared_error: 1.0865,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.954, kappa: 0.9254, kb_relative_information_score: 0.93, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9543, predictive_accuracy: 0.9539, prior_entropy: 1.4802, recall: 0.9539, relative_absolute_error: 0.0749, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3871,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9293, kappa: 0.8853, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9297, predictive_accuracy: 0.9292, prior_entropy: 1.4802, recall: 0.9292, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.48,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9609, kappa: 0.9366, kb_relative_information_score: 0.941, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9613, predictive_accuracy: 0.9608, prior_entropy: 1.4802, recall: 0.9608, relative_absolute_error: 0.0637, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.357,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9684, kappa: 0.9486, kb_relative_information_score: 0.9516, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9684, predictive_accuracy: 0.9683, prior_entropy: 1.4802, recall: 0.9683, relative_absolute_error: 0.0515, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1453, root_relative_squared_error: 0.3209,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2029, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4802, recall: 0.5188, relative_absolute_error: 0.7823, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.5664, root_relative_squared_error: 1.2509,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2029, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4802, recall: 0.5188, relative_absolute_error: 0.7823, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.5664, root_relative_squared_error: 1.2509,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9556, kappa: 0.9279, kb_relative_information_score: 0.9324, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9559, predictive_accuracy: 0.9555, prior_entropy: 1.4802, recall: 0.9555, relative_absolute_error: 0.0724, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.3805,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.9243, kappa: 0.8772, kb_relative_information_score: 0.8841, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9247, predictive_accuracy: 0.9241, prior_entropy: 1.4802, recall: 0.9241, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.4967,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2029, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, predictive_accuracy: 0.5188, prior_entropy: 1.4802, recall: 0.5188, relative_absolute_error: 0.7823, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.5664, root_relative_squared_error: 1.2509,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.5281, kappa: 0.2267, kb_relative_information_score: 0.3515, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.7753, predictive_accuracy: 0.6085, prior_entropy: 1.4802, recall: 0.6085, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.5109, root_relative_squared_error: 1.1283,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.593, f_measure: 0.5275, kappa: 0.2259, kb_relative_information_score: 0.351, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.7752, predictive_accuracy: 0.6082, prior_entropy: 1.4802, recall: 0.6082, relative_absolute_error: 0.637, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.5111, root_relative_squared_error: 1.1288,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.9466, kappa: 0.9132, kb_relative_information_score: 0.9183, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9469, predictive_accuracy: 0.9464, prior_entropy: 1.4802, recall: 0.9464, relative_absolute_error: 0.0871, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.189, root_relative_squared_error: 0.4175,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.8668, kappa: 0.7759, kb_relative_information_score: 0.785, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.8925, predictive_accuracy: 0.8699, prior_entropy: 1.4802, recall: 0.8699, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.6504,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.633, f_measure: 0.5893, kappa: 0.3166, kb_relative_information_score: 0.4148, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.7887, predictive_accuracy: 0.6467, prior_entropy: 1.4802, recall: 0.6467, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.4853, root_relative_squared_error: 1.0718,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.607, f_measure: 0.5499, kappa: 0.2581, kb_relative_information_score: 0.3733, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.7798, predictive_accuracy: 0.6216, prior_entropy: 1.4802, recall: 0.6216, relative_absolute_error: 0.6151, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.1092,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9675, kappa: 0.9471, kb_relative_information_score: 0.9504, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9676, predictive_accuracy: 0.9674, prior_entropy: 1.4802, recall: 0.9674, relative_absolute_error: 0.053, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.3256,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.9207, kappa: 0.8684, kb_relative_information_score: 0.8709, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9292, predictive_accuracy: 0.9216, prior_entropy: 1.4802, recall: 0.9216, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.5048,

Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6099, f_measure: 0.5544, kappa: 0.2647, kb_relative_information_score: 0.378, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.7808, predictive_accuracy: 0.6245, prior_entropy: 1.4802, recall: 0.6245, relative_absolute_error: 0.6105, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.1051,

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