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Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(3) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6187, f_measure: 0.7209, kappa: 0.0541, kb_relative_information_score: 0.0449, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8006, predictive_accuracy: 0.8008, prior_entropy: 0.7318, recall: 0.8008, relative_absolute_error: 0.96, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.979,
Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(3) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.523, f_measure: 0.1078, kappa: 0.0083, kb_relative_information_score: 0.0749, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.108, predictive_accuracy: 0.1075, prior_entropy: 3.3219, recall: 0.1075, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3896, root_relative_squared_error: 1.2987,
Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(3) on task Supervised Classification on data set pendigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.995, kappa: 0.9944, kb_relative_information_score: 0.9888, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 3.3208, recall: 0.995, relative_absolute_error: 0.0213, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0314, root_relative_squared_error: 0.1046,
Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(3) on task Supervised Classification on data set spambase
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.9042, kappa: 0.7976, kb_relative_information_score: 0.5842, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9076, predictive_accuracy: 0.9055, prior_entropy: 0.9674, recall: 0.9055, relative_absolute_error: 0.4535, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.6198,
Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(3) on task Supervised Classification on data set qsar-biodeg
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.8525, kappa: 0.6658, kb_relative_information_score: 0.4357, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8532, predictive_accuracy: 0.855, prior_entropy: 0.9223, recall: 0.855, relative_absolute_error: 0.5916, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.7325,
Heinrich Peters 5 years ago
ran flow sklearn.pipeline.Pipeline(simp ... vc=sklearn.svm.classes.SVC)(3) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.711, f_measure: 0.4684, kappa: 0.2559, kb_relative_information_score: 0.1736, mean_absolute_error: 0.3495, mean_prior_absolute_error: 0.3798, weighted_recall: 0.4672, number_of_instances: 625, precision: 0.5419, predictive_accuracy: 0.4672, prior_entropy: 1.3181, relative_absolute_error: 0.9202, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.5467, root_relative_squared_error: 1.2552, unweighted_recall: 0.3944,