OpenML

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.673, f_measure: 0.706, kappa: 0.3477, kb_relative_information_score: 0.323, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.7053, predictive_accuracy: 0.7067, prior_entropy: 0.9293, recall: 0.7067, relative_absolute_error: 0.6489, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.5415, root_relative_squared_error: 1.1394,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.9442, kappa: 0.8764, kb_relative_information_score: 0.8712, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9442, predictive_accuracy: 0.9442, prior_entropy: 0.9293, recall: 0.9442, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.497,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.9629, kappa: 0.918, kb_relative_information_score: 0.9141, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.963, predictive_accuracy: 0.9628, prior_entropy: 0.9293, recall: 0.9628, relative_absolute_error: 0.0823, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.4058,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6972, f_measure: 0.7276, kappa: 0.396, kb_relative_information_score: 0.3725, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.7271, predictive_accuracy: 0.7282, prior_entropy: 0.9293, recall: 0.7282, relative_absolute_error: 0.6014, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.5214, root_relative_squared_error: 1.0969,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.9383, kappa: 0.8629, kb_relative_information_score: 0.858, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9383, predictive_accuracy: 0.9385, prior_entropy: 0.9293, recall: 0.9385, relative_absolute_error: 0.1361, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.248, root_relative_squared_error: 0.5218,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.9354, kappa: 0.8565, kb_relative_information_score: 0.8514, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9354, predictive_accuracy: 0.9356, prior_entropy: 0.9293, recall: 0.9356, relative_absolute_error: 0.1424, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.5338,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.9454, kappa: 0.8787, kb_relative_information_score: 0.8745, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9455, predictive_accuracy: 0.9456, prior_entropy: 0.9293, recall: 0.9456, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.4906,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.9383, kappa: 0.8632, kb_relative_information_score: 0.858, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9383, predictive_accuracy: 0.9385, prior_entropy: 0.9293, recall: 0.9385, relative_absolute_error: 0.1361, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.248, root_relative_squared_error: 0.5218,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9672, kappa: 0.9275, kb_relative_information_score: 0.924, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9674, predictive_accuracy: 0.9671, prior_entropy: 0.9293, recall: 0.9671, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3816,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.9324, kappa: 0.8496, kb_relative_information_score: 0.8448, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9325, predictive_accuracy: 0.9328, prior_entropy: 0.9293, recall: 0.9328, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.5456,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.913, kappa: 0.8054, kb_relative_information_score: 0.8018, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9143, predictive_accuracy: 0.9142, prior_entropy: 0.9293, recall: 0.9142, relative_absolute_error: 0.1899, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.293, root_relative_squared_error: 0.6164,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.9441, kappa: 0.8761, kb_relative_information_score: 0.8712, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9441, predictive_accuracy: 0.9442, prior_entropy: 0.9293, recall: 0.9442, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.497,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9672, kappa: 0.9277, kb_relative_information_score: 0.924, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9675, predictive_accuracy: 0.9671, prior_entropy: 0.9293, recall: 0.9671, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3816,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.9556, kappa: 0.9017, kb_relative_information_score: 0.8976, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9556, predictive_accuracy: 0.9557, prior_entropy: 0.9293, recall: 0.9557, relative_absolute_error: 0.0981, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.4431,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9686, kappa: 0.9307, kb_relative_information_score: 0.9273, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9689, predictive_accuracy: 0.9685, prior_entropy: 0.9293, recall: 0.9685, relative_absolute_error: 0.0696, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.3733,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9643, kappa: 0.9211, kb_relative_information_score: 0.9174, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9644, predictive_accuracy: 0.9642, prior_entropy: 0.9293, recall: 0.9642, relative_absolute_error: 0.0791, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.3979,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.9427, kappa: 0.8728, kb_relative_information_score: 0.8679, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9426, predictive_accuracy: 0.9428, prior_entropy: 0.9293, recall: 0.9428, relative_absolute_error: 0.1266, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.5033,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.9427, kappa: 0.8731, kb_relative_information_score: 0.8679, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9427, predictive_accuracy: 0.9428, prior_entropy: 0.9293, recall: 0.9428, relative_absolute_error: 0.1266, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.5033,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2041, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9293, recall: 0.6552, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.5872, root_relative_squared_error: 1.2354,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9671, kappa: 0.9274, kb_relative_information_score: 0.924, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9672, predictive_accuracy: 0.9671, prior_entropy: 0.9293, recall: 0.9671, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3816,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9671, kappa: 0.9274, kb_relative_information_score: 0.924, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9672, predictive_accuracy: 0.9671, prior_entropy: 0.9293, recall: 0.9671, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3816,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.9511, kappa: 0.8911, kb_relative_information_score: 0.8877, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9514, predictive_accuracy: 0.9514, prior_entropy: 0.9293, recall: 0.9514, relative_absolute_error: 0.1076, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.464,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.9436, kappa: 0.8739, kb_relative_information_score: 0.8712, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9449, predictive_accuracy: 0.9442, prior_entropy: 0.9293, recall: 0.9442, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.497,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.9613, kappa: 0.9141, kb_relative_information_score: 0.9108, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.9293, recall: 0.9614, relative_absolute_error: 0.0855, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4135,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9628, kappa: 0.9175, kb_relative_information_score: 0.9141, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9627, predictive_accuracy: 0.9628, prior_entropy: 0.9293, recall: 0.9628, relative_absolute_error: 0.0823, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.4058,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.9588, kappa: 0.9097, kb_relative_information_score: 0.9042, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9603, predictive_accuracy: 0.9585, prior_entropy: 0.9293, recall: 0.9585, relative_absolute_error: 0.0918, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.4285,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.9517, kappa: 0.8938, kb_relative_information_score: 0.8877, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9528, predictive_accuracy: 0.9514, prior_entropy: 0.9293, recall: 0.9514, relative_absolute_error: 0.1076, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.464,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9502, kappa: 0.8904, kb_relative_information_score: 0.8844, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9509, predictive_accuracy: 0.9499, prior_entropy: 0.9293, recall: 0.9499, relative_absolute_error: 0.1108, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.4708,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.9642, kappa: 0.9208, kb_relative_information_score: 0.9174, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9642, predictive_accuracy: 0.9642, prior_entropy: 0.9293, recall: 0.9642, relative_absolute_error: 0.0791, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.3979,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9628, kappa: 0.9178, kb_relative_information_score: 0.9141, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9629, predictive_accuracy: 0.9628, prior_entropy: 0.9293, recall: 0.9628, relative_absolute_error: 0.0823, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.4058,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9397, kappa: 0.8662, kb_relative_information_score: 0.8613, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9397, predictive_accuracy: 0.9399, prior_entropy: 0.9293, recall: 0.9399, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.5157,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9672, kappa: 0.9275, kb_relative_information_score: 0.924, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9674, predictive_accuracy: 0.9671, prior_entropy: 0.9293, recall: 0.9671, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3816,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.9585, kappa: 0.9083, kb_relative_information_score: 0.9042, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9586, predictive_accuracy: 0.9585, prior_entropy: 0.9293, recall: 0.9585, relative_absolute_error: 0.0918, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.4285,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9586, kappa: 0.9084, kb_relative_information_score: 0.9042, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9587, predictive_accuracy: 0.9585, prior_entropy: 0.9293, recall: 0.9585, relative_absolute_error: 0.0918, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.4285,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.9543, kappa: 0.8989, kb_relative_information_score: 0.8943, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9543, predictive_accuracy: 0.9542, prior_entropy: 0.9293, recall: 0.9542, relative_absolute_error: 0.1013, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.214, root_relative_squared_error: 0.4502,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.9252, kappa: 0.8317, kb_relative_information_score: 0.8316, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.931, predictive_accuracy: 0.927, prior_entropy: 0.9293, recall: 0.927, relative_absolute_error: 0.1614, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.5683,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.9324, kappa: 0.8499, kb_relative_information_score: 0.8448, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9325, predictive_accuracy: 0.9328, prior_entropy: 0.9293, recall: 0.9328, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.5456,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9686, kappa: 0.9307, kb_relative_information_score: 0.9273, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9689, predictive_accuracy: 0.9685, prior_entropy: 0.9293, recall: 0.9685, relative_absolute_error: 0.0696, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.3733,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.9631, kappa: 0.9189, kb_relative_information_score: 0.9141, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9644, predictive_accuracy: 0.9628, prior_entropy: 0.9293, recall: 0.9628, relative_absolute_error: 0.0823, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.4058,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9557, kappa: 0.9021, kb_relative_information_score: 0.8976, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9558, predictive_accuracy: 0.9557, prior_entropy: 0.9293, recall: 0.9557, relative_absolute_error: 0.0981, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.4431,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9671, kappa: 0.9274, kb_relative_information_score: 0.924, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9672, predictive_accuracy: 0.9671, prior_entropy: 0.9293, recall: 0.9671, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3816,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9671, kappa: 0.9274, kb_relative_information_score: 0.924, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9672, predictive_accuracy: 0.9671, prior_entropy: 0.9293, recall: 0.9671, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3816,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9686, kappa: 0.9307, kb_relative_information_score: 0.9273, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9689, predictive_accuracy: 0.9685, prior_entropy: 0.9293, recall: 0.9685, relative_absolute_error: 0.0696, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.3733,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9687, kappa: 0.931, kb_relative_information_score: 0.9273, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9692, predictive_accuracy: 0.9685, prior_entropy: 0.9293, recall: 0.9685, relative_absolute_error: 0.0696, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.3733,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9686, kappa: 0.9306, kb_relative_information_score: 0.9273, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9687, predictive_accuracy: 0.9685, prior_entropy: 0.9293, recall: 0.9685, relative_absolute_error: 0.0696, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.3733,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9686, kappa: 0.9306, kb_relative_information_score: 0.9273, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9687, predictive_accuracy: 0.9685, prior_entropy: 0.9293, recall: 0.9685, relative_absolute_error: 0.0696, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.3733,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.9454, kappa: 0.8787, kb_relative_information_score: 0.8745, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9455, predictive_accuracy: 0.9456, prior_entropy: 0.9293, recall: 0.9456, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.4906,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9585, kappa: 0.9081, kb_relative_information_score: 0.9042, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.9293, recall: 0.9585, relative_absolute_error: 0.0918, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.4285,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.963, kappa: 0.9186, kb_relative_information_score: 0.9141, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9638, predictive_accuracy: 0.9628, prior_entropy: 0.9293, recall: 0.9628, relative_absolute_error: 0.0823, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.4058,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9671, kappa: 0.9274, kb_relative_information_score: 0.924, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9672, predictive_accuracy: 0.9671, prior_entropy: 0.9293, recall: 0.9671, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3816,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9671, kappa: 0.9274, kb_relative_information_score: 0.924, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9672, predictive_accuracy: 0.9671, prior_entropy: 0.9293, recall: 0.9671, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3816,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.428, f_measure: 0.4833, kappa: -0.1442, kb_relative_information_score: -0.1922, mean_absolute_error: 0.5165, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.483, predictive_accuracy: 0.4835, prior_entropy: 0.9293, recall: 0.4835, relative_absolute_error: 1.1427, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.7186, root_relative_squared_error: 1.512,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9671, kappa: 0.9274, kb_relative_information_score: 0.924, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9672, predictive_accuracy: 0.9671, prior_entropy: 0.9293, recall: 0.9671, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3816,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.95, kappa: 0.8895, kb_relative_information_score: 0.8844, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9501, predictive_accuracy: 0.9499, prior_entropy: 0.9293, recall: 0.9499, relative_absolute_error: 0.1108, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.4708,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.9427, kappa: 0.8731, kb_relative_information_score: 0.8679, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9427, predictive_accuracy: 0.9428, prior_entropy: 0.9293, recall: 0.9428, relative_absolute_error: 0.1266, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.5033,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9557, kappa: 0.9021, kb_relative_information_score: 0.8976, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9558, predictive_accuracy: 0.9557, prior_entropy: 0.9293, recall: 0.9557, relative_absolute_error: 0.0981, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.4431,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7656, f_measure: 0.8225, kappa: 0.5975, kb_relative_information_score: 0.6268, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.8703, predictive_accuracy: 0.8383, prior_entropy: 0.9293, recall: 0.8383, relative_absolute_error: 0.3577, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.8459,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.9613, kappa: 0.9141, kb_relative_information_score: 0.9108, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.9293, recall: 0.9614, relative_absolute_error: 0.0855, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4135,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9644, kappa: 0.9214, kb_relative_information_score: 0.9174, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9647, predictive_accuracy: 0.9642, prior_entropy: 0.9293, recall: 0.9642, relative_absolute_error: 0.0791, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.3979,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9672, kappa: 0.9278, kb_relative_information_score: 0.924, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9677, predictive_accuracy: 0.9671, prior_entropy: 0.9293, recall: 0.9671, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3816,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9671, kappa: 0.9274, kb_relative_information_score: 0.924, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9672, predictive_accuracy: 0.9671, prior_entropy: 0.9293, recall: 0.9671, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3816,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.9226, kappa: 0.8283, kb_relative_information_score: 0.8217, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9225, predictive_accuracy: 0.9227, prior_entropy: 0.9293, recall: 0.9227, relative_absolute_error: 0.1709, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.5848,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.9456, kappa: 0.8797, kb_relative_information_score: 0.8745, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9456, predictive_accuracy: 0.9456, prior_entropy: 0.9293, recall: 0.9456, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.4906,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9397, kappa: 0.8662, kb_relative_information_score: 0.8613, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9397, predictive_accuracy: 0.9399, prior_entropy: 0.9293, recall: 0.9399, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.5157,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.9613, kappa: 0.9141, kb_relative_information_score: 0.9108, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.9293, recall: 0.9614, relative_absolute_error: 0.0855, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4135,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.9456, kappa: 0.8794, kb_relative_information_score: 0.8745, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9455, predictive_accuracy: 0.9456, prior_entropy: 0.9293, recall: 0.9456, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.4906,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9686, kappa: 0.9306, kb_relative_information_score: 0.9273, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9687, predictive_accuracy: 0.9685, prior_entropy: 0.9293, recall: 0.9685, relative_absolute_error: 0.0696, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.3733,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.9269, kappa: 0.8377, kb_relative_information_score: 0.8316, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9268, predictive_accuracy: 0.927, prior_entropy: 0.9293, recall: 0.927, relative_absolute_error: 0.1614, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.5683,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.9497, kappa: 0.8884, kb_relative_information_score: 0.8844, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9498, predictive_accuracy: 0.9499, prior_entropy: 0.9293, recall: 0.9499, relative_absolute_error: 0.1108, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.4708,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9686, kappa: 0.9306, kb_relative_information_score: 0.9273, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9687, predictive_accuracy: 0.9685, prior_entropy: 0.9293, recall: 0.9685, relative_absolute_error: 0.0696, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.3733,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2041, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9293, recall: 0.6552, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.5872, root_relative_squared_error: 1.2354,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.9338, kappa: 0.8526, kb_relative_information_score: 0.8481, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.934, predictive_accuracy: 0.9342, prior_entropy: 0.9293, recall: 0.9342, relative_absolute_error: 0.1456, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2565, root_relative_squared_error: 0.5397,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9643, kappa: 0.9211, kb_relative_information_score: 0.9174, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9644, predictive_accuracy: 0.9642, prior_entropy: 0.9293, recall: 0.9642, relative_absolute_error: 0.0791, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.3979,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9643, kappa: 0.9209, kb_relative_information_score: 0.9174, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9643, predictive_accuracy: 0.9642, prior_entropy: 0.9293, recall: 0.9642, relative_absolute_error: 0.0791, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.3979,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9643, kappa: 0.9211, kb_relative_information_score: 0.9174, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9644, predictive_accuracy: 0.9642, prior_entropy: 0.9293, recall: 0.9642, relative_absolute_error: 0.0791, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.3979,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.9413, kappa: 0.8701, kb_relative_information_score: 0.8646, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9413, predictive_accuracy: 0.9413, prior_entropy: 0.9293, recall: 0.9413, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.5096,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.9353, kappa: 0.8562, kb_relative_information_score: 0.8514, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9354, predictive_accuracy: 0.9356, prior_entropy: 0.9293, recall: 0.9356, relative_absolute_error: 0.1424, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.5338,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.9576, kappa: 0.9074, kb_relative_information_score: 0.9009, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9608, predictive_accuracy: 0.9571, prior_entropy: 0.9293, recall: 0.9571, relative_absolute_error: 0.095, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.4359,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9671, kappa: 0.9274, kb_relative_information_score: 0.924, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9672, predictive_accuracy: 0.9671, prior_entropy: 0.9293, recall: 0.9671, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3816,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.9453, kappa: 0.8782, kb_relative_information_score: 0.8745, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9456, predictive_accuracy: 0.9456, prior_entropy: 0.9293, recall: 0.9456, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.4906,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9671, kappa: 0.9274, kb_relative_information_score: 0.924, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9672, predictive_accuracy: 0.9671, prior_entropy: 0.9293, recall: 0.9671, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3816,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9643, kappa: 0.9211, kb_relative_information_score: 0.9174, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9644, predictive_accuracy: 0.9642, prior_entropy: 0.9293, recall: 0.9642, relative_absolute_error: 0.0791, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.3979,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9686, kappa: 0.9306, kb_relative_information_score: 0.9273, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9687, predictive_accuracy: 0.9685, prior_entropy: 0.9293, recall: 0.9685, relative_absolute_error: 0.0696, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.3733,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.97, kappa: 0.9338, kb_relative_information_score: 0.9306, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9702, predictive_accuracy: 0.97, prior_entropy: 0.9293, recall: 0.97, relative_absolute_error: 0.0665, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3647,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.9427, kappa: 0.8731, kb_relative_information_score: 0.8679, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9427, predictive_accuracy: 0.9428, prior_entropy: 0.9293, recall: 0.9428, relative_absolute_error: 0.1266, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.5033,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.9257, kappa: 0.8357, kb_relative_information_score: 0.8283, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9258, predictive_accuracy: 0.9256, prior_entropy: 0.9293, recall: 0.9256, relative_absolute_error: 0.1646, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.5739,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.9456, kappa: 0.8797, kb_relative_information_score: 0.8745, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9456, predictive_accuracy: 0.9456, prior_entropy: 0.9293, recall: 0.9456, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.4906,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5539, f_measure: 0.5978, kappa: 0.1368, kb_relative_information_score: 0.2899, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.7907, predictive_accuracy: 0.6924, prior_entropy: 0.9293, recall: 0.6924, relative_absolute_error: 0.6806, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.5546, root_relative_squared_error: 1.1669,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.9412, kappa: 0.8695, kb_relative_information_score: 0.8646, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9412, predictive_accuracy: 0.9413, prior_entropy: 0.9293, recall: 0.9413, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.5096,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.9397, kappa: 0.866, kb_relative_information_score: 0.8613, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9397, predictive_accuracy: 0.9399, prior_entropy: 0.9293, recall: 0.9399, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.5157,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.9543, kappa: 0.8989, kb_relative_information_score: 0.8943, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9543, predictive_accuracy: 0.9542, prior_entropy: 0.9293, recall: 0.9542, relative_absolute_error: 0.1013, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.214, root_relative_squared_error: 0.4502,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9397, kappa: 0.8662, kb_relative_information_score: 0.8613, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9397, predictive_accuracy: 0.9399, prior_entropy: 0.9293, recall: 0.9399, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.5157,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.9456, kappa: 0.8797, kb_relative_information_score: 0.8745, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9456, predictive_accuracy: 0.9456, prior_entropy: 0.9293, recall: 0.9456, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.4906,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9686, kappa: 0.9306, kb_relative_information_score: 0.9273, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9687, predictive_accuracy: 0.9685, prior_entropy: 0.9293, recall: 0.9685, relative_absolute_error: 0.0696, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.3733,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.7127, kappa: 0.3617, kb_relative_information_score: 0.3395, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.7117, predictive_accuracy: 0.7139, prior_entropy: 0.9293, recall: 0.7139, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.5349, root_relative_squared_error: 1.1254,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9671, kappa: 0.9272, kb_relative_information_score: 0.924, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9671, predictive_accuracy: 0.9671, prior_entropy: 0.9293, recall: 0.9671, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3816,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.9456, kappa: 0.8797, kb_relative_information_score: 0.8745, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9456, predictive_accuracy: 0.9456, prior_entropy: 0.9293, recall: 0.9456, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.4906,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.953, kappa: 0.8966, kb_relative_information_score: 0.891, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9538, predictive_accuracy: 0.9528, prior_entropy: 0.9293, recall: 0.9528, relative_absolute_error: 0.1045, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.4571,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.9441, kappa: 0.8761, kb_relative_information_score: 0.8712, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9441, predictive_accuracy: 0.9442, prior_entropy: 0.9293, recall: 0.9442, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.497,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9686, kappa: 0.9306, kb_relative_information_score: 0.9273, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9687, predictive_accuracy: 0.9685, prior_entropy: 0.9293, recall: 0.9685, relative_absolute_error: 0.0696, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.3733,

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