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 credit-g

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.7206, kappa: 0.3275, kb_relative_information_score: 0.2952, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.718, predictive_accuracy: 0.724, prior_entropy: 0.8813, recall: 0.724, relative_absolute_error: 0.6569, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5254, root_relative_squared_error: 1.1464,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, f_measure: 0.7295, kappa: 0.3468, kb_relative_information_score: 0.3207, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7265, predictive_accuracy: 0.734, prior_entropy: 0.8813, recall: 0.734, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5158, root_relative_squared_error: 1.1255,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6638, f_measure: 0.7243, kappa: 0.3359, kb_relative_information_score: 0.3054, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7217, predictive_accuracy: 0.728, prior_entropy: 0.8813, recall: 0.728, relative_absolute_error: 0.6474, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.1381,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6726, f_measure: 0.7366, kappa: 0.3607, kb_relative_information_score: 0.3437, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7334, predictive_accuracy: 0.743, prior_entropy: 0.8813, recall: 0.743, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.507, root_relative_squared_error: 1.1063,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2339, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8813, recall: 0.7, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6793, f_measure: 0.7533, kappa: 0.3926, kb_relative_information_score: 0.405, mean_absolute_error: 0.233, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7547, predictive_accuracy: 0.767, prior_entropy: 0.8813, recall: 0.767, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4827, root_relative_squared_error: 1.0533,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.6944, kappa: 0.2814, kb_relative_information_score: 0.2109, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6986, predictive_accuracy: 0.691, prior_entropy: 0.8813, recall: 0.691, relative_absolute_error: 0.7354, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5559, root_relative_squared_error: 1.213,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2339, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8813, recall: 0.7, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6598, f_measure: 0.7329, kappa: 0.3448, kb_relative_information_score: 0.3488, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7307, predictive_accuracy: 0.745, prior_entropy: 0.8813, recall: 0.745, relative_absolute_error: 0.6069, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.505, root_relative_squared_error: 1.1019,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6971, f_measure: 0.7605, kappa: 0.4165, kb_relative_information_score: 0.4076, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7585, predictive_accuracy: 0.768, prior_entropy: 0.8813, recall: 0.768, relative_absolute_error: 0.5522, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4817, root_relative_squared_error: 1.0511,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6598, f_measure: 0.7283, kappa: 0.3379, kb_relative_information_score: 0.3284, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7249, predictive_accuracy: 0.737, prior_entropy: 0.8813, recall: 0.737, relative_absolute_error: 0.626, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5128, root_relative_squared_error: 1.1191,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4374, f_measure: 0.5333, kappa: -0.1301, kb_relative_information_score: -0.167, mean_absolute_error: 0.457, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.5249, predictive_accuracy: 0.543, prior_entropy: 0.8813, recall: 0.543, relative_absolute_error: 1.0877, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.676, root_relative_squared_error: 1.4752,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.555, f_measure: 0.6501, kappa: 0.1421, kb_relative_information_score: 0.2876, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7073, predictive_accuracy: 0.721, prior_entropy: 0.8813, recall: 0.721, relative_absolute_error: 0.664, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5282, root_relative_squared_error: 1.1526,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6633, f_measure: 0.7393, kappa: 0.358, kb_relative_information_score: 0.3718, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7396, predictive_accuracy: 0.754, prior_entropy: 0.8813, recall: 0.754, relative_absolute_error: 0.5855, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.496, root_relative_squared_error: 1.0823,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6769, f_measure: 0.7393, kappa: 0.3682, kb_relative_information_score: 0.3488, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7363, predictive_accuracy: 0.745, prior_entropy: 0.8813, recall: 0.745, relative_absolute_error: 0.6069, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.505, root_relative_squared_error: 1.1019,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.5811, kappa: 0.0093, kb_relative_information_score: 0.239, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.791, predictive_accuracy: 0.702, prior_entropy: 0.8813, recall: 0.702, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5459, root_relative_squared_error: 1.1912,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5988, f_measure: 0.673, kappa: 0.2065, kb_relative_information_score: 0.1854, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6678, predictive_accuracy: 0.681, prior_entropy: 0.8813, recall: 0.681, relative_absolute_error: 0.7592, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5648, root_relative_squared_error: 1.2325,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4264, f_measure: 0.5177, kappa: -0.1467, kb_relative_information_score: -0.2334, mean_absolute_error: 0.483, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.5184, predictive_accuracy: 0.517, prior_entropy: 0.8813, recall: 0.517, relative_absolute_error: 1.1496, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.695, root_relative_squared_error: 1.5166,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6486, f_measure: 0.6989, kappa: 0.291, kb_relative_information_score: 0.2237, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7026, predictive_accuracy: 0.696, prior_entropy: 0.8813, recall: 0.696, relative_absolute_error: 0.7235, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.2032,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2339, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8813, recall: 0.7, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6695, f_measure: 0.7312, kappa: 0.3504, kb_relative_information_score: 0.3259, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7282, predictive_accuracy: 0.736, prior_entropy: 0.8813, recall: 0.736, relative_absolute_error: 0.6283, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.1212,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6038, f_measure: 0.6992, kappa: 0.2541, kb_relative_information_score: 0.3463, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7353, predictive_accuracy: 0.744, prior_entropy: 0.8813, recall: 0.744, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.506, root_relative_squared_error: 1.1041,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, f_measure: 0.7573, kappa: 0.4084, kb_relative_information_score: 0.3999, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7551, predictive_accuracy: 0.765, prior_entropy: 0.8813, recall: 0.765, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4848, root_relative_squared_error: 1.0579,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6245, f_measure: 0.7145, kappa: 0.2909, kb_relative_information_score: 0.3488, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7283, predictive_accuracy: 0.745, prior_entropy: 0.8813, recall: 0.745, relative_absolute_error: 0.6069, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.505, root_relative_squared_error: 1.1019,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.7566, kappa: 0.406, kb_relative_information_score: 0.3999, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7547, predictive_accuracy: 0.765, prior_entropy: 0.8813, recall: 0.765, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4848, root_relative_squared_error: 1.0579,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6476, f_measure: 0.7249, kappa: 0.3229, kb_relative_information_score: 0.3361, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7235, predictive_accuracy: 0.74, prior_entropy: 0.8813, recall: 0.74, relative_absolute_error: 0.6188, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.1127,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6757, f_measure: 0.7534, kappa: 0.3909, kb_relative_information_score: 0.4127, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7582, predictive_accuracy: 0.77, prior_entropy: 0.8813, recall: 0.77, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4796, root_relative_squared_error: 1.0465,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6462, f_measure: 0.697, kappa: 0.2864, kb_relative_information_score: 0.2186, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7006, predictive_accuracy: 0.694, prior_entropy: 0.8813, recall: 0.694, relative_absolute_error: 0.7283, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5532, root_relative_squared_error: 1.2071,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, f_measure: 0.7157, kappa: 0.3204, kb_relative_information_score: 0.2773, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7146, predictive_accuracy: 0.717, prior_entropy: 0.8813, recall: 0.717, relative_absolute_error: 0.6736, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.532, root_relative_squared_error: 1.1609,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6538, f_measure: 0.7308, kappa: 0.3372, kb_relative_information_score: 0.3514, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7303, predictive_accuracy: 0.746, prior_entropy: 0.8813, recall: 0.746, relative_absolute_error: 0.6045, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0998,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.7394, kappa: 0.3622, kb_relative_information_score: 0.3616, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.75, prior_entropy: 0.8813, recall: 0.75, relative_absolute_error: 0.595, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0911,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6248, f_measure: 0.6818, kappa: 0.2467, kb_relative_information_score: 0.1829, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6837, predictive_accuracy: 0.68, prior_entropy: 0.8813, recall: 0.68, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.2344,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6483, f_measure: 0.7258, kappa: 0.3248, kb_relative_information_score: 0.3386, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7246, predictive_accuracy: 0.741, prior_entropy: 0.8813, recall: 0.741, relative_absolute_error: 0.6164, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5089, root_relative_squared_error: 1.1106,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2339, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8813, recall: 0.7, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6693, f_measure: 0.7317, kappa: 0.3509, kb_relative_information_score: 0.3284, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7286, predictive_accuracy: 0.737, prior_entropy: 0.8813, recall: 0.737, relative_absolute_error: 0.626, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5128, root_relative_squared_error: 1.1191,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6676, f_measure: 0.7176, kappa: 0.3315, kb_relative_information_score: 0.2748, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7193, predictive_accuracy: 0.716, prior_entropy: 0.8813, recall: 0.716, relative_absolute_error: 0.6759, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5329, root_relative_squared_error: 1.1629,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.656, f_measure: 0.7149, kappa: 0.3164, kb_relative_information_score: 0.2773, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7131, predictive_accuracy: 0.717, prior_entropy: 0.8813, recall: 0.717, relative_absolute_error: 0.6736, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.532, root_relative_squared_error: 1.1609,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6319, f_measure: 0.721, kappa: 0.3071, kb_relative_information_score: 0.3616, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7351, predictive_accuracy: 0.75, prior_entropy: 0.8813, recall: 0.75, relative_absolute_error: 0.595, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0911,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.68, f_measure: 0.7471, kappa: 0.3826, kb_relative_information_score: 0.3769, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7447, predictive_accuracy: 0.756, prior_entropy: 0.8813, recall: 0.756, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0779,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6664, f_measure: 0.7258, kappa: 0.3403, kb_relative_information_score: 0.308, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7234, predictive_accuracy: 0.729, prior_entropy: 0.8813, recall: 0.729, relative_absolute_error: 0.645, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5206, root_relative_squared_error: 1.136,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6564, f_measure: 0.7367, kappa: 0.3491, kb_relative_information_score: 0.3744, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.74, predictive_accuracy: 0.755, prior_entropy: 0.8813, recall: 0.755, relative_absolute_error: 0.5831, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.495, root_relative_squared_error: 1.0801,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.5811, kappa: 0.0093, kb_relative_information_score: 0.239, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.791, predictive_accuracy: 0.702, prior_entropy: 0.8813, recall: 0.702, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5459, root_relative_squared_error: 1.1912,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6614, f_measure: 0.7406, kappa: 0.3591, kb_relative_information_score: 0.382, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7437, predictive_accuracy: 0.758, prior_entropy: 0.8813, recall: 0.758, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4919, root_relative_squared_error: 1.0735,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.7393, kappa: 0.3588, kb_relative_information_score: 0.3693, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7388, predictive_accuracy: 0.753, prior_entropy: 0.8813, recall: 0.753, relative_absolute_error: 0.5879, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0845,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6595, f_measure: 0.7311, kappa: 0.3418, kb_relative_information_score: 0.3412, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7283, predictive_accuracy: 0.742, prior_entropy: 0.8813, recall: 0.742, relative_absolute_error: 0.6141, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.1084,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6612, f_measure: 0.7228, kappa: 0.3315, kb_relative_information_score: 0.3029, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.72, predictive_accuracy: 0.727, prior_entropy: 0.8813, recall: 0.727, relative_absolute_error: 0.6498, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5225, root_relative_squared_error: 1.1402,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.65, f_measure: 0.7034, kappa: 0.2972, kb_relative_information_score: 0.239, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7049, predictive_accuracy: 0.702, prior_entropy: 0.8813, recall: 0.702, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5459, root_relative_squared_error: 1.1912,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6224, f_measure: 0.7091, kappa: 0.2787, kb_relative_information_score: 0.3207, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7131, predictive_accuracy: 0.734, prior_entropy: 0.8813, recall: 0.734, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5158, root_relative_squared_error: 1.1255,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.7518, kappa: 0.3934, kb_relative_information_score: 0.3897, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7499, predictive_accuracy: 0.761, prior_entropy: 0.8813, recall: 0.761, relative_absolute_error: 0.5688, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4889, root_relative_squared_error: 1.0668,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, f_measure: 0.7614, kappa: 0.4184, kb_relative_information_score: 0.4101, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7594, predictive_accuracy: 0.769, prior_entropy: 0.8813, recall: 0.769, relative_absolute_error: 0.5498, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4806, root_relative_squared_error: 1.0488,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2339, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8813, recall: 0.7, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2339, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8813, recall: 0.7, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2339, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8813, recall: 0.7, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6638, f_measure: 0.7384, kappa: 0.3568, kb_relative_information_score: 0.3667, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7377, predictive_accuracy: 0.752, prior_entropy: 0.8813, recall: 0.752, relative_absolute_error: 0.5903, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0867,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5104, kappa: 0.022, kb_relative_information_score: 0.1619, mean_absolute_error: 0.3757, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.4365, prior_entropy: 1.539, recall: 0.4365, relative_absolute_error: 0.8719, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6129, root_relative_squared_error: 1.3206,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1479, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.539, recall: 0.427, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.3317,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6118, f_measure: 0.4971, kappa: 0.2206, kb_relative_information_score: 0.2787, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4987, predictive_accuracy: 0.4969, prior_entropy: 1.539, recall: 0.4969, relative_absolute_error: 0.7784, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5791, root_relative_squared_error: 1.2478,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.9011, kappa: 0.593, kb_relative_information_score: 0.4879, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9012, predictive_accuracy: 0.901, prior_entropy: 0.5879, recall: 0.901, relative_absolute_error: 0.4076, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.903,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5426, f_measure: 0.4044, kappa: 0.0915, kb_relative_information_score: 0.1959, mean_absolute_error: 0.3671, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4397, predictive_accuracy: 0.4494, prior_entropy: 1.539, recall: 0.4494, relative_absolute_error: 0.852, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6058, root_relative_squared_error: 1.3054,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6398, f_measure: 0.5317, kappa: 0.2749, kb_relative_information_score: 0.3272, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5326, predictive_accuracy: 0.5316, prior_entropy: 1.539, recall: 0.5316, relative_absolute_error: 0.7249, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5588, root_relative_squared_error: 1.2041,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.9494, kappa: 0.8748, kb_relative_information_score: 0.8667, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9496, predictive_accuracy: 0.9498, prior_entropy: 0.863, recall: 0.9498, relative_absolute_error: 0.1229, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.224, root_relative_squared_error: 0.4958,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6478, f_measure: 0.5432, kappa: 0.2921, kb_relative_information_score: 0.3457, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5424, predictive_accuracy: 0.5485, prior_entropy: 1.539, recall: 0.5485, relative_absolute_error: 0.6986, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5486, root_relative_squared_error: 1.1821,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5392, kappa: 0.0811, kb_relative_information_score: 0.196, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.4582, prior_entropy: 1.539, recall: 0.4582, relative_absolute_error: 0.8383, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.601, root_relative_squared_error: 1.2949,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6157, f_measure: 0.5027, kappa: 0.2288, kb_relative_information_score: 0.287, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5034, predictive_accuracy: 0.5031, prior_entropy: 1.539, recall: 0.5031, relative_absolute_error: 0.769, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5756, root_relative_squared_error: 1.2402,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6077, f_measure: 0.4921, kappa: 0.2126, kb_relative_information_score: 0.2717, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4932, predictive_accuracy: 0.4922, prior_entropy: 1.539, recall: 0.4922, relative_absolute_error: 0.7858, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5818, root_relative_squared_error: 1.2537,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6493, f_measure: 0.5457, kappa: 0.2954, kb_relative_information_score: 0.3483, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5453, predictive_accuracy: 0.5485, prior_entropy: 1.539, recall: 0.5485, relative_absolute_error: 0.6986, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5486, root_relative_squared_error: 1.1821,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5972, f_measure: 0.4774, kappa: 0.1916, kb_relative_information_score: 0.2515, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4775, predictive_accuracy: 0.4773, prior_entropy: 1.539, recall: 0.4773, relative_absolute_error: 0.8089, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5903, root_relative_squared_error: 1.272,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6332, f_measure: 0.5225, kappa: 0.262, kb_relative_information_score: 0.3145, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5248, predictive_accuracy: 0.5214, prior_entropy: 1.539, recall: 0.5214, relative_absolute_error: 0.7406, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5649, root_relative_squared_error: 1.2171,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6196, f_measure: 0.5063, kappa: 0.2372, kb_relative_information_score: 0.2937, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5079, predictive_accuracy: 0.5051, prior_entropy: 1.539, recall: 0.5051, relative_absolute_error: 0.7658, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5744, root_relative_squared_error: 1.2376,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7878, f_measure: 0.8997, kappa: 0.5839, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.899, predictive_accuracy: 0.9004, prior_entropy: 0.5879, recall: 0.9004, relative_absolute_error: 0.41, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3156, root_relative_squared_error: 0.9058,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5424, kappa: 0.0873, kb_relative_information_score: 0.1999, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.461, prior_entropy: 1.539, recall: 0.461, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5995, root_relative_squared_error: 1.2916,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, f_measure: 0.8718, kappa: 0.4028, kb_relative_information_score: 0.4569, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8934, predictive_accuracy: 0.895, prior_entropy: 0.5879, recall: 0.895, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.324, root_relative_squared_error: 0.93,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7057, f_measure: 0.8893, kappa: 0.5032, kb_relative_information_score: 0.49, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8925, predictive_accuracy: 0.9014, prior_entropy: 0.5879, recall: 0.9014, relative_absolute_error: 0.4059, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.314, root_relative_squared_error: 0.9012,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6324, f_measure: 0.8669, kappa: 0.3758, kb_relative_information_score: 0.4476, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8958, predictive_accuracy: 0.8932, prior_entropy: 0.5879, recall: 0.8932, relative_absolute_error: 0.4397, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.9379,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7142, f_measure: 0.8998, kappa: 0.5446, kb_relative_information_score: 0.55, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9115, predictive_accuracy: 0.913, prior_entropy: 0.5879, recall: 0.913, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.295, root_relative_squared_error: 0.8465,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7535, f_measure: 0.912, kappa: 0.6079, kb_relative_information_score: 0.5893, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9171, predictive_accuracy: 0.9206, prior_entropy: 0.5879, recall: 0.9206, relative_absolute_error: 0.3269, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2818, root_relative_squared_error: 0.8087,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5508, f_measure: 0.8222, kappa: 0.154, kb_relative_information_score: 0.2996, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8351, predictive_accuracy: 0.8646, prior_entropy: 0.5879, recall: 0.8646, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.368, root_relative_squared_error: 1.0561,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.9269, kappa: 0.6803, kb_relative_information_score: 0.6483, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9291, predictive_accuracy: 0.932, prior_entropy: 0.5879, recall: 0.932, relative_absolute_error: 0.2799, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.7484,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2686, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5879, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.8961, kappa: 0.5314, kb_relative_information_score: 0.5252, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9024, predictive_accuracy: 0.9082, prior_entropy: 0.5879, recall: 0.9082, relative_absolute_error: 0.3779, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.303, root_relative_squared_error: 0.8696,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5477, f_measure: 0.8232, kappa: 0.152, kb_relative_information_score: 0.3307, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8724, predictive_accuracy: 0.8706, prior_entropy: 0.5879, recall: 0.8706, relative_absolute_error: 0.5327, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3597, root_relative_squared_error: 1.0324,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, f_measure: 0.7571, kappa: -0.0076, kb_relative_information_score: -0.2476, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.7553, predictive_accuracy: 0.7588, prior_entropy: 0.5879, recall: 0.7588, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.4911, root_relative_squared_error: 1.4095,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5508, f_measure: 0.8222, kappa: 0.154, kb_relative_information_score: 0.2996, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8351, predictive_accuracy: 0.8646, prior_entropy: 0.5879, recall: 0.8646, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.368, root_relative_squared_error: 1.0561,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, f_measure: 0.9075, kappa: 0.5914, kb_relative_information_score: 0.5614, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9093, predictive_accuracy: 0.9152, prior_entropy: 0.5879, recall: 0.9152, relative_absolute_error: 0.3491, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.8358,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.9018, kappa: 0.5911, kb_relative_information_score: 0.4983, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9009, predictive_accuracy: 0.903, prior_entropy: 0.5879, recall: 0.903, relative_absolute_error: 0.3993, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.8939,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2686, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5879, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5535, f_measure: 0.8232, kappa: 0.1605, kb_relative_information_score: 0.2976, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8333, predictive_accuracy: 0.8642, prior_entropy: 0.5879, recall: 0.8642, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3685, root_relative_squared_error: 1.0576,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7686, f_measure: 0.917, kappa: 0.6325, kb_relative_information_score: 0.6079, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9208, predictive_accuracy: 0.9242, prior_entropy: 0.5879, recall: 0.9242, relative_absolute_error: 0.312, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.7902,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2686, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5879, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5535, f_measure: 0.8232, kappa: 0.1605, kb_relative_information_score: 0.2976, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8333, predictive_accuracy: 0.8642, prior_entropy: 0.5879, recall: 0.8642, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3685, root_relative_squared_error: 1.0576,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.9088, kappa: 0.6139, kb_relative_information_score: 0.5417, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9072, predictive_accuracy: 0.9114, prior_entropy: 0.5879, recall: 0.9114, relative_absolute_error: 0.3647, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.8543,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2686, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5879, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7829, f_measure: 0.9014, kappa: 0.5867, kb_relative_information_score: 0.4993, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9, predictive_accuracy: 0.9032, prior_entropy: 0.5879, recall: 0.9032, relative_absolute_error: 0.3985, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.8929,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2686, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5879, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6815, f_measure: 0.8886, kappa: 0.4856, kb_relative_information_score: 0.5169, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9086, predictive_accuracy: 0.9066, prior_entropy: 0.5879, recall: 0.9066, relative_absolute_error: 0.3845, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.8771,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2686, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5879, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6678, f_measure: 0.8794, kappa: 0.4446, kb_relative_information_score: 0.4734, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.893, predictive_accuracy: 0.8982, prior_entropy: 0.5879, recall: 0.8982, relative_absolute_error: 0.4191, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.9157,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.711, f_measure: 0.8974, kappa: 0.5341, kb_relative_information_score: 0.5376, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9074, predictive_accuracy: 0.9106, prior_entropy: 0.5879, recall: 0.9106, relative_absolute_error: 0.368, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.299, root_relative_squared_error: 0.8581,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.9009, kappa: 0.5854, kb_relative_information_score: 0.4962, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8996, predictive_accuracy: 0.9026, prior_entropy: 0.5879, recall: 0.9026, relative_absolute_error: 0.401, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3121, root_relative_squared_error: 0.8957,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2686, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5879, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,

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