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Felix Neutatz 5 years ago
ran flow sklearn.pipeline.C379fcb447972 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.657, kappa: 0.2604, kb_relative_information_score: -0.4127, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7679, predictive_accuracy: 0.6297, prior_entropy: 0.7916, recall: 0.6297, relative_absolute_error: 1.2091, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.1003,
Felix Neutatz 5 years ago
ran flow sklearn.pipeline.C379fcb899f8a ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.6428, kappa: 0.2489, kb_relative_information_score: -0.3379, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7684, predictive_accuracy: 0.615, prior_entropy: 0.7916, recall: 0.615, relative_absolute_error: 1.1566, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4602, root_relative_squared_error: 1.0807,
Felix Neutatz 5 years ago
ran flow sklearn.pipeline.C379fcbda2dc5 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.6428, kappa: 0.2489, kb_relative_information_score: -0.3379, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7684, predictive_accuracy: 0.615, prior_entropy: 0.7916, recall: 0.615, relative_absolute_error: 1.1566, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4602, root_relative_squared_error: 1.0807,
Felix Neutatz 5 years ago
ran flow sklearn.pipeline.C58ffb160a77c ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.6428, kappa: 0.2489, kb_relative_information_score: -0.3379, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7684, predictive_accuracy: 0.615, prior_entropy: 0.7916, recall: 0.615, relative_absolute_error: 1.1566, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4602, root_relative_squared_error: 1.0807,
Felix Neutatz 5 years ago
ran flow sklearn.pipeline.C379fc537f3af ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.6645, kappa: 0.2682, kb_relative_information_score: -0.6963, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7689, predictive_accuracy: 0.6377, prior_entropy: 0.7916, recall: 0.6377, relative_absolute_error: 1.3698, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.1679,
Felix Neutatz 5 years ago
ran flow sklearn.pipeline.C379fc548b741 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.657, kappa: 0.2604, kb_relative_information_score: -0.4127, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7679, predictive_accuracy: 0.6297, prior_entropy: 0.7916, recall: 0.6297, relative_absolute_error: 1.2091, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.1003,
Felix Neutatz 5 years ago
ran flow sklearn.pipeline.C379fcb14dc19 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.657, kappa: 0.2604, kb_relative_information_score: -0.4127, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7679, predictive_accuracy: 0.6297, prior_entropy: 0.7916, recall: 0.6297, relative_absolute_error: 1.2091, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.1003,
Felix Neutatz 5 years ago
ran flow sklearn.pipeline.C379fcb281a9c ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.657, kappa: 0.2604, kb_relative_information_score: -0.4127, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7679, predictive_accuracy: 0.6297, prior_entropy: 0.7916, recall: 0.6297, relative_absolute_error: 1.2091, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.1003,
Felix Neutatz 5 years ago
ran flow sklearn.pipeline.C58ffab944221 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.6428, kappa: 0.2489, kb_relative_information_score: -0.3379, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7684, predictive_accuracy: 0.615, prior_entropy: 0.7916, recall: 0.615, relative_absolute_error: 1.1566, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4602, root_relative_squared_error: 1.0807,
Felix Neutatz 5 years ago
ran flow sklearn.pipeline.C379fcbd5cc01 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.657, kappa: 0.2604, kb_relative_information_score: -0.4127, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7679, predictive_accuracy: 0.6297, prior_entropy: 0.7916, recall: 0.6297, relative_absolute_error: 1.2091, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.1003,
Felix Neutatz 5 years ago
ran flow sklearn.pipeline.C379fced803c8 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.657, kappa: 0.2604, kb_relative_information_score: -0.4127, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7679, predictive_accuracy: 0.6297, prior_entropy: 0.7916, recall: 0.6297, relative_absolute_error: 1.2091, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.1003,
Felix Neutatz 5 years ago
ran flow sklearn.pipeline.C58ffa1eba67f ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.657, kappa: 0.2604, kb_relative_information_score: -0.4127, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7679, predictive_accuracy: 0.6297, prior_entropy: 0.7916, recall: 0.6297, relative_absolute_error: 1.2091, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.1003,
Felix Neutatz 5 years ago
ran flow sklearn.pipeline.C58ffa214d1ba ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.6428, kappa: 0.2489, kb_relative_information_score: -0.3379, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7684, predictive_accuracy: 0.615, prior_entropy: 0.7916, recall: 0.615, relative_absolute_error: 1.1566, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4602, root_relative_squared_error: 1.0807,
Felix Neutatz 5 years ago
ran flow sklearn.pipeline.C379fcb37eff8 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.657, kappa: 0.2604, kb_relative_information_score: -0.4127, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7679, predictive_accuracy: 0.6297, prior_entropy: 0.7916, recall: 0.6297, relative_absolute_error: 1.2091, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.1003,
Felix Neutatz 5 years ago
ran flow sklearn.pipeline.C379fcb48971c ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.6428, kappa: 0.2489, kb_relative_information_score: -0.3379, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7684, predictive_accuracy: 0.615, prior_entropy: 0.7916, recall: 0.615, relative_absolute_error: 1.1566, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4602, root_relative_squared_error: 1.0807,
Felix Neutatz 5 years ago
ran flow sklearn.pipeline.C58ffac08e6b0 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.657, kappa: 0.2604, kb_relative_information_score: -0.4127, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7679, predictive_accuracy: 0.6297, prior_entropy: 0.7916, recall: 0.6297, relative_absolute_error: 1.2091, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.1003,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C3773dd75b956 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set eucalyptus
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5692, kappa: 0.0487, kb_relative_information_score: 0.052, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.3084, prior_entropy: 2.2621, recall: 0.3084, relative_absolute_error: 1.0157, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3986, root_relative_squared_error: 1.0074,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C3773de497d48 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set eucalyptus
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.5658, kappa: 0.4555, kb_relative_information_score: 0.4472, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5852, predictive_accuracy: 0.5652, prior_entropy: 2.2621, recall: 0.5652, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.8224,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C3773dd280df3 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set eucalyptus
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5692, kappa: 0.0487, kb_relative_information_score: 0.052, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.3084, prior_entropy: 2.2621, recall: 0.3084, relative_absolute_error: 1.0157, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3986, root_relative_squared_error: 1.0074,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C58b96267ebec ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set eucalyptus
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, f_measure: 0.4062, kappa: 0.2785, kb_relative_information_score: 0.2489, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.4826, predictive_accuracy: 0.4171, prior_entropy: 2.2621, recall: 0.4171, relative_absolute_error: 0.8768, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.9259,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C3773e171cd00 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set eucalyptus
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.5757, kappa: 0.4637, kb_relative_information_score: 0.4448, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5989, predictive_accuracy: 0.572, prior_entropy: 2.2621, recall: 0.572, relative_absolute_error: 0.6885, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.8274,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C37792ff9a213 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set heart-statlog
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7895, kappa: 0.5771, kb_relative_information_score: 0.4194, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7938, predictive_accuracy: 0.7889, prior_entropy: 0.9911, recall: 0.7889, relative_absolute_error: 0.6119, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.781,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C8e03112eb5ef ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7285, f_measure: 0.6913, kappa: 0.3423, kb_relative_information_score: -0.0352, mean_absolute_error: 0.4189, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7446, predictive_accuracy: 0.678, prior_entropy: 0.8813, recall: 0.678, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9993,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C37792ff10946 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set heart-statlog
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.7628, kappa: 0.5192, kb_relative_information_score: 0.0561, mean_absolute_error: 0.4744, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7626, predictive_accuracy: 0.763, prior_entropy: 0.9911, recall: 0.763, relative_absolute_error: 0.9605, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4762, root_relative_squared_error: 0.9583,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C377932a187bd ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.6512, kappa: 0.2981, kb_relative_information_score: -0.2661, mean_absolute_error: 0.4808, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7407, predictive_accuracy: 0.637, prior_entropy: 0.8813, recall: 0.637, relative_absolute_error: 1.1443, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4831, root_relative_squared_error: 1.0543,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C58d2bca5544b ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Titanic
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.7615, kappa: 0.4381, kb_relative_information_score: -0.1307, mean_absolute_error: 0.4638, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.7699, predictive_accuracy: 0.776, prior_entropy: 0.9077, recall: 0.776, relative_absolute_error: 1.0603, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.0019,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C58d2bcd89492 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Titanic
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.7615, kappa: 0.4381, kb_relative_information_score: -0.1307, mean_absolute_error: 0.4638, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.7699, predictive_accuracy: 0.776, prior_entropy: 0.9077, recall: 0.776, relative_absolute_error: 1.0603, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.0019,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C3786bc08d57a ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.6512, kappa: 0.2981, kb_relative_information_score: -0.2661, mean_absolute_error: 0.4808, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7407, predictive_accuracy: 0.637, prior_entropy: 0.8813, recall: 0.637, relative_absolute_error: 1.1443, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4831, root_relative_squared_error: 1.0543,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C3786bce59e14 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.6512, kappa: 0.2981, kb_relative_information_score: -0.2661, mean_absolute_error: 0.4808, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7407, predictive_accuracy: 0.637, prior_entropy: 0.8813, recall: 0.637, relative_absolute_error: 1.1443, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4831, root_relative_squared_error: 1.0543,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C3783b5e9fa5d ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Titanic
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.7635, kappa: 0.4456, kb_relative_information_score: -0.1262, mean_absolute_error: 0.4626, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.7653, predictive_accuracy: 0.7733, prior_entropy: 0.9077, recall: 0.7733, relative_absolute_error: 1.0575, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9999,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C58d2bcdd0d65 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Titanic
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.7635, kappa: 0.4456, kb_relative_information_score: -0.1262, mean_absolute_error: 0.4626, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.7653, predictive_accuracy: 0.7733, prior_entropy: 0.9077, recall: 0.7733, relative_absolute_error: 1.0575, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9999,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C378925a8825c ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7397, kappa: 0.4211, kb_relative_information_score: -0.1631, mean_absolute_error: 0.4534, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7685, predictive_accuracy: 0.73, prior_entropy: 0.8813, recall: 0.73, relative_absolute_error: 1.0791, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4604, root_relative_squared_error: 1.0048,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C58db6f9565f2 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7397, kappa: 0.4211, kb_relative_information_score: -0.1631, mean_absolute_error: 0.4534, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7685, predictive_accuracy: 0.73, prior_entropy: 0.8813, recall: 0.73, relative_absolute_error: 1.0791, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4604, root_relative_squared_error: 1.0048,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C37892686b2dd ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.6512, kappa: 0.2981, kb_relative_information_score: -0.2661, mean_absolute_error: 0.4808, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7407, predictive_accuracy: 0.637, prior_entropy: 0.8813, recall: 0.637, relative_absolute_error: 1.1443, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4831, root_relative_squared_error: 1.0543,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C378925ab352d ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.7361, kappa: 0.407, kb_relative_information_score: 0.0578, mean_absolute_error: 0.3835, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7596, predictive_accuracy: 0.727, prior_entropy: 0.8813, recall: 0.727, relative_absolute_error: 0.9129, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.9397,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C378925ada549 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.7361, kappa: 0.407, kb_relative_information_score: 0.0578, mean_absolute_error: 0.3835, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7596, predictive_accuracy: 0.727, prior_entropy: 0.8813, recall: 0.727, relative_absolute_error: 0.9129, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.9397,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C378925b0e96c ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7397, kappa: 0.4211, kb_relative_information_score: -0.1631, mean_absolute_error: 0.4534, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7685, predictive_accuracy: 0.73, prior_entropy: 0.8813, recall: 0.73, relative_absolute_error: 1.0791, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4604, root_relative_squared_error: 1.0048,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C58db6f8d5a7f ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7397, kappa: 0.4211, kb_relative_information_score: -0.1631, mean_absolute_error: 0.4534, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7685, predictive_accuracy: 0.73, prior_entropy: 0.8813, recall: 0.73, relative_absolute_error: 1.0791, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4604, root_relative_squared_error: 1.0048,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C378925a5f013 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7397, kappa: 0.4211, kb_relative_information_score: -0.1631, mean_absolute_error: 0.4534, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7685, predictive_accuracy: 0.73, prior_entropy: 0.8813, recall: 0.73, relative_absolute_error: 1.0791, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4604, root_relative_squared_error: 1.0048,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C378925b36675 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7397, kappa: 0.4211, kb_relative_information_score: -0.1631, mean_absolute_error: 0.4534, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7685, predictive_accuracy: 0.73, prior_entropy: 0.8813, recall: 0.73, relative_absolute_error: 1.0791, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4604, root_relative_squared_error: 1.0048,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C58db6f897327 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.7361, kappa: 0.407, kb_relative_information_score: 0.0578, mean_absolute_error: 0.3835, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7596, predictive_accuracy: 0.727, prior_entropy: 0.8813, recall: 0.727, relative_absolute_error: 0.9129, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.9397,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C378925bae402 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7397, kappa: 0.4211, kb_relative_information_score: -0.1631, mean_absolute_error: 0.4534, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7685, predictive_accuracy: 0.73, prior_entropy: 0.8813, recall: 0.73, relative_absolute_error: 1.0791, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4604, root_relative_squared_error: 1.0048,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C58de0379c773 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7397, kappa: 0.4211, kb_relative_information_score: -0.1631, mean_absolute_error: 0.4534, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7685, predictive_accuracy: 0.73, prior_entropy: 0.8813, recall: 0.73, relative_absolute_error: 1.0791, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4604, root_relative_squared_error: 1.0048,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C58de037e52ac ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.7361, kappa: 0.407, kb_relative_information_score: 0.0578, mean_absolute_error: 0.3835, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7596, predictive_accuracy: 0.727, prior_entropy: 0.8813, recall: 0.727, relative_absolute_error: 0.9129, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.9397,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C378ac234e41e ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7397, kappa: 0.4211, kb_relative_information_score: -0.1631, mean_absolute_error: 0.4534, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7685, predictive_accuracy: 0.73, prior_entropy: 0.8813, recall: 0.73, relative_absolute_error: 1.0791, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4604, root_relative_squared_error: 1.0048,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C378ac21cd060 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7397, kappa: 0.4211, kb_relative_information_score: -0.1631, mean_absolute_error: 0.4534, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7685, predictive_accuracy: 0.73, prior_entropy: 0.8813, recall: 0.73, relative_absolute_error: 1.0791, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4604, root_relative_squared_error: 1.0048,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C378ac2230bb8 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.7361, kappa: 0.407, kb_relative_information_score: 0.0578, mean_absolute_error: 0.3835, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7596, predictive_accuracy: 0.727, prior_entropy: 0.8813, recall: 0.727, relative_absolute_error: 0.9129, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.9397,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C378ac231fc82 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7397, kappa: 0.4211, kb_relative_information_score: -0.1631, mean_absolute_error: 0.4534, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7685, predictive_accuracy: 0.73, prior_entropy: 0.8813, recall: 0.73, relative_absolute_error: 1.0791, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4604, root_relative_squared_error: 1.0048,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C378ac229345d ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7397, kappa: 0.4211, kb_relative_information_score: -0.1631, mean_absolute_error: 0.4534, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7685, predictive_accuracy: 0.73, prior_entropy: 0.8813, recall: 0.73, relative_absolute_error: 1.0791, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4604, root_relative_squared_error: 1.0048,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C58de0366075c ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7397, kappa: 0.4211, kb_relative_information_score: -0.1631, mean_absolute_error: 0.4534, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7685, predictive_accuracy: 0.73, prior_entropy: 0.8813, recall: 0.73, relative_absolute_error: 1.0791, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4604, root_relative_squared_error: 1.0048,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C378ac2260e4c ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.7361, kappa: 0.407, kb_relative_information_score: 0.0578, mean_absolute_error: 0.3835, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7596, predictive_accuracy: 0.727, prior_entropy: 0.8813, recall: 0.727, relative_absolute_error: 0.9129, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.9397,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C378ac237c789 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7397, kappa: 0.4211, kb_relative_information_score: -0.1631, mean_absolute_error: 0.4534, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7685, predictive_accuracy: 0.73, prior_entropy: 0.8813, recall: 0.73, relative_absolute_error: 1.0791, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4604, root_relative_squared_error: 1.0048,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C378b6aff5a1f ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set banknote-authentication
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8465, kappa: 0.69, kb_relative_information_score: 0.4068, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8474, predictive_accuracy: 0.8462, prior_entropy: 0.9911, recall: 0.8462, relative_absolute_error: 0.6421, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.7192,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C378b6b0de603 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set banknote-authentication
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.8779, kappa: 0.7545, kb_relative_information_score: 0.5868, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8816, predictive_accuracy: 0.8776, prior_entropy: 0.9911, recall: 0.8776, relative_absolute_error: 0.4463, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6309,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C378b6ad53020 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set banknote-authentication
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8465, kappa: 0.69, kb_relative_information_score: 0.4068, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8474, predictive_accuracy: 0.8462, prior_entropy: 0.9911, recall: 0.8462, relative_absolute_error: 0.6421, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.7192,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C378b6ada38ee ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set banknote-authentication
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.8779, kappa: 0.7545, kb_relative_information_score: 0.5868, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8816, predictive_accuracy: 0.8776, prior_entropy: 0.9911, recall: 0.8776, relative_absolute_error: 0.4463, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6309,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C378b6b088b89 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set banknote-authentication
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8465, kappa: 0.69, kb_relative_information_score: 0.4068, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8474, predictive_accuracy: 0.8462, prior_entropy: 0.9911, recall: 0.8462, relative_absolute_error: 0.6421, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.7192,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C378b8a3f31bd ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.657, kappa: 0.2604, kb_relative_information_score: -0.4127, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7679, predictive_accuracy: 0.6297, prior_entropy: 0.7916, recall: 0.6297, relative_absolute_error: 1.2091, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.1003,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C378b8cea043a ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.657, kappa: 0.2604, kb_relative_information_score: -0.4127, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7679, predictive_accuracy: 0.6297, prior_entropy: 0.7916, recall: 0.6297, relative_absolute_error: 1.2091, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.1003,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C378b877e6611 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.657, kappa: 0.2604, kb_relative_information_score: -0.4127, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7679, predictive_accuracy: 0.6297, prior_entropy: 0.7916, recall: 0.6297, relative_absolute_error: 1.2091, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.1003,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C58df3f371480 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.6645, kappa: 0.2682, kb_relative_information_score: -0.6963, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7689, predictive_accuracy: 0.6377, prior_entropy: 0.7916, recall: 0.6377, relative_absolute_error: 1.3698, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.1679,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C378b87c2010a ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.657, kappa: 0.2604, kb_relative_information_score: -0.4127, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7679, predictive_accuracy: 0.6297, prior_entropy: 0.7916, recall: 0.6297, relative_absolute_error: 1.2091, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.1003,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C58df3fa68676 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.657, kappa: 0.2604, kb_relative_information_score: -0.4127, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7679, predictive_accuracy: 0.6297, prior_entropy: 0.7916, recall: 0.6297, relative_absolute_error: 1.2091, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.1003,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C378b87cd5177 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.6645, kappa: 0.2682, kb_relative_information_score: -0.6963, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7689, predictive_accuracy: 0.6377, prior_entropy: 0.7916, recall: 0.6377, relative_absolute_error: 1.3698, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.1679,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C58df439f6f08 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.6645, kappa: 0.2682, kb_relative_information_score: -0.6963, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7689, predictive_accuracy: 0.6377, prior_entropy: 0.7916, recall: 0.6377, relative_absolute_error: 1.3698, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.1679,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C378b8cee812d ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.6645, kappa: 0.2682, kb_relative_information_score: -0.6963, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7689, predictive_accuracy: 0.6377, prior_entropy: 0.7916, recall: 0.6377, relative_absolute_error: 1.3698, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.1679,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C378a8e82c45c ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Australian
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 0.01, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9912, recall: 0.8551, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4903, root_relative_squared_error: 0.9866,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C58ddb0b2598a ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Australian
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 0.01, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9912, recall: 0.8551, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4903, root_relative_squared_error: 0.9866,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C378a932665cd ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Australian
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 0.01, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9912, recall: 0.8551, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4903, root_relative_squared_error: 0.9866,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C378a9339ad51 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Australian
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 0.01, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9912, recall: 0.8551, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4903, root_relative_squared_error: 0.9866,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C3789d3632c1b ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5113, f_measure: 0.2033, kappa: 0.0207, kb_relative_information_score: -0.3335, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7165, predictive_accuracy: 0.329, prior_entropy: 0.8813, recall: 0.329, relative_absolute_error: 1.19, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5, root_relative_squared_error: 1.091,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C3789d394dc32 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5584, kb_relative_information_score: -0.3336, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.3, prior_entropy: 0.8813, recall: 0.3, relative_absolute_error: 1.19, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0911,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C3789da68e716 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.9175, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3231,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C3789da9a538f ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.9175, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3231,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C3789db137e37 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, kappa: 0.46, kb_relative_information_score: 0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.64, prior_entropy: 1.585, recall: 0.64, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C58dc92081ff8 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.7544, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.3304, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.442,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C3789deeceffd ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.8201, kappa: 0.4961, kb_relative_information_score: -0.067, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8458, predictive_accuracy: 0.8084, prior_entropy: 0.7318, recall: 0.8084, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.9489,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C3789ed5b86f7 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.8067, kappa: 0.4653, kb_relative_information_score: -0.2382, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8374, predictive_accuracy: 0.7931, prior_entropy: 0.7318, recall: 0.7931, relative_absolute_error: 1.0645, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.9798,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C3789ed71ebeb ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.8058, kappa: 0.4682, kb_relative_information_score: -0.1233, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8404, predictive_accuracy: 0.7912, prior_entropy: 0.7318, recall: 0.7912, relative_absolute_error: 0.9891, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.9694,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C3789db0e415f ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, kappa: 0.34, kb_relative_information_score: 0.0031, mean_absolute_error: 0.4437, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.56, prior_entropy: 1.585, recall: 0.56, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9984,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C3789db2e261f ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, kappa: 0.46, kb_relative_information_score: 0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.64, prior_entropy: 1.585, recall: 0.64, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C58dcaf0eeb22 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.8048, kappa: 0.4588, kb_relative_information_score: -0.0877, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8347, predictive_accuracy: 0.7912, prior_entropy: 0.7318, recall: 0.7912, relative_absolute_error: 0.9601, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.9651,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C3789ed75b7eb ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.8067, kappa: 0.4653, kb_relative_information_score: -0.2382, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8374, predictive_accuracy: 0.7931, prior_entropy: 0.7318, recall: 0.7931, relative_absolute_error: 1.0645, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.9798,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C3789b692d828 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.6512, kappa: 0.2981, kb_relative_information_score: -0.2661, mean_absolute_error: 0.4808, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7407, predictive_accuracy: 0.637, prior_entropy: 0.8813, recall: 0.637, relative_absolute_error: 1.1443, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4831, root_relative_squared_error: 1.0543,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C3789d5faa6cc ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5584, kb_relative_information_score: -0.3336, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.3, prior_entropy: 0.8813, recall: 0.3, relative_absolute_error: 1.19, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0911,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C3789da636c7d ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.9175, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3231,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C3789da94ef5f ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.9175, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3231,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C3789db56c1ef ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.9175, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3231,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C58dc97b245e9 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.8217, kappa: 0.4997, kb_relative_information_score: -0.0956, mean_absolute_error: 0.3209, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8467, predictive_accuracy: 0.8103, prior_entropy: 0.7318, recall: 0.8103, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.9505,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C3789ed6426b5 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.8064, kappa: 0.4622, kb_relative_information_score: -0.066, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8355, predictive_accuracy: 0.7931, prior_entropy: 0.7318, recall: 0.7931, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.9715,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C3789ed79e9a2 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.8064, kappa: 0.4622, kb_relative_information_score: -0.066, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8355, predictive_accuracy: 0.7931, prior_entropy: 0.7318, recall: 0.7931, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.9715,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C3789d3f68c24 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5113, f_measure: 0.2033, kappa: 0.0207, kb_relative_information_score: -0.3335, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7165, predictive_accuracy: 0.329, prior_entropy: 0.8813, recall: 0.329, relative_absolute_error: 1.19, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5, root_relative_squared_error: 1.091,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C58dc89449bf5 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5113, f_measure: 0.2033, kappa: 0.0207, kb_relative_information_score: -0.3335, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7165, predictive_accuracy: 0.329, prior_entropy: 0.8813, recall: 0.329, relative_absolute_error: 1.19, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5, root_relative_squared_error: 1.091,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C58dc9126f27c ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.9175, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3231,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C58dc9872d392 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.8214, kappa: 0.5078, kb_relative_information_score: -0.985, mean_absolute_error: 0.4885, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8532, predictive_accuracy: 0.8084, prior_entropy: 0.7318, recall: 0.8084, relative_absolute_error: 1.4958, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4887, root_relative_squared_error: 1.2106,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C3789ed212c14 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.8204, kappa: 0.4991, kb_relative_information_score: -0.9999, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8476, predictive_accuracy: 0.8084, prior_entropy: 0.7318, recall: 0.8084, relative_absolute_error: 1.5072, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.2197,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C3789ed579703 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.8067, kappa: 0.4653, kb_relative_information_score: -0.2382, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8374, predictive_accuracy: 0.7931, prior_entropy: 0.7318, recall: 0.7931, relative_absolute_error: 1.0645, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.9798,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C8e2de4cbb185 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.8058, kappa: 0.4682, kb_relative_information_score: -0.1233, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8404, predictive_accuracy: 0.7912, prior_entropy: 0.7318, recall: 0.7912, relative_absolute_error: 0.9891, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.9694,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C3789ed7de8ad ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.8288, kappa: 0.5002, kb_relative_information_score: -0.6825, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8406, predictive_accuracy: 0.8218, prior_entropy: 0.7318, recall: 0.8218, relative_absolute_error: 1.2853, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4318, root_relative_squared_error: 1.0695,
Felix Neutatz 6 years ago
ran flow sklearn.pipeline.C58dc921ba22b ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.9175, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3231,