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 balance-scale

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.8646, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5407,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, kappa: 0.8071, kb_relative_information_score: 0.7367, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.896, prior_entropy: 1.3181, recall: 0.896, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.6045,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.9494, kappa: 0.9106, kb_relative_information_score: 0.9091, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9506, predictive_accuracy: 0.9488, prior_entropy: 1.3181, recall: 0.9488, relative_absolute_error: 0.0899, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.4242,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, kappa: 0.4896, kb_relative_information_score: 0.4758, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.7248, prior_entropy: 1.3181, recall: 0.7248, relative_absolute_error: 0.4831, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.9834,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, kappa: 0.4896, kb_relative_information_score: 0.4758, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.7248, prior_entropy: 1.3181, recall: 0.7248, relative_absolute_error: 0.4831, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.9834,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.9386, kappa: 0.8912, kb_relative_information_score: 0.8878, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9402, predictive_accuracy: 0.9376, prior_entropy: 1.3181, recall: 0.9376, relative_absolute_error: 0.1095, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4683,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, kappa: 0.822, kb_relative_information_score: 0.7489, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.904, prior_entropy: 1.3181, recall: 0.904, relative_absolute_error: 0.1685, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.253, root_relative_squared_error: 0.5808,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, kappa: 0.8309, kb_relative_information_score: 0.7562, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.9088, prior_entropy: 1.3181, recall: 0.9088, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.5661,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9574, kappa: 0.9223, kb_relative_information_score: 0.9146, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9612, predictive_accuracy: 0.9552, prior_entropy: 1.3181, recall: 0.9552, relative_absolute_error: 0.0786, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.3968,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8872, kappa: 0.8028, kb_relative_information_score: 0.7694, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8865, predictive_accuracy: 0.888, prior_entropy: 1.3181, recall: 0.888, relative_absolute_error: 0.1966, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.6273,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.8646, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5407,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.8646, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5407,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.9334, kappa: 0.8787, kb_relative_information_score: 0.8735, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9403, predictive_accuracy: 0.9296, prior_entropy: 1.3181, recall: 0.9296, relative_absolute_error: 0.1236, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.4974,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9968, kappa: 0.9944, kb_relative_information_score: 0.9908, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 1.3181, recall: 0.9968, relative_absolute_error: 0.0056, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.0462, root_relative_squared_error: 0.106,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.9333, kappa: 0.8822, kb_relative_information_score: 0.8634, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9338, predictive_accuracy: 0.9328, prior_entropy: 1.3181, recall: 0.9328, relative_absolute_error: 0.118, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.4859,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.8646, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5407,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.8646, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5407,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.8646, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5407,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, kappa: 0.8309, kb_relative_information_score: 0.7562, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.9088, prior_entropy: 1.3181, recall: 0.9088, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.5661,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.724, kappa: 0.4481, kb_relative_information_score: 0.4416, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.7024, prior_entropy: 1.3181, recall: 0.7024, relative_absolute_error: 0.5224, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4454, root_relative_squared_error: 1.0226,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, kappa: 0.8309, kb_relative_information_score: 0.7562, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.9088, prior_entropy: 1.3181, recall: 0.9088, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.5661,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.8646, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5407,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9782, kappa: 0.9609, kb_relative_information_score: 0.9573, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9793, predictive_accuracy: 0.9776, prior_entropy: 1.3181, recall: 0.9776, relative_absolute_error: 0.0393, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1222, root_relative_squared_error: 0.2806,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, kappa: 0.8042, kb_relative_information_score: 0.7343, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8944, prior_entropy: 1.3181, recall: 0.8944, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2653, root_relative_squared_error: 0.6091,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, kappa: 0.8309, kb_relative_information_score: 0.7562, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.9088, prior_entropy: 1.3181, recall: 0.9088, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.5661,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9599, kappa: 0.9256, kb_relative_information_score: 0.9256, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9669, predictive_accuracy: 0.9568, prior_entropy: 1.3181, recall: 0.9568, relative_absolute_error: 0.0758, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.3896,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.936, kappa: 0.8823, kb_relative_information_score: 0.8844, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9465, predictive_accuracy: 0.9312, prior_entropy: 1.3181, recall: 0.9312, relative_absolute_error: 0.1208, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.4917,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.8646, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5407,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, kappa: 0.7893, kb_relative_information_score: 0.7221, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8864, prior_entropy: 1.3181, recall: 0.8864, relative_absolute_error: 0.1994, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.6318,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, kappa: 0.7507, kb_relative_information_score: 0.6904, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8656, prior_entropy: 1.3181, recall: 0.8656, relative_absolute_error: 0.2359, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6872,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.8748, kappa: 0.8312, kb_relative_information_score: 0.7584, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8781, predictive_accuracy: 0.9088, prior_entropy: 1.3181, recall: 0.9088, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.5661,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.8646, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5407,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9431, kappa: 0.8974, kb_relative_information_score: 0.8927, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9473, predictive_accuracy: 0.9408, prior_entropy: 1.3181, recall: 0.9408, relative_absolute_error: 0.1039, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.4561,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.7951, kappa: 0.6382, kb_relative_information_score: 0.5806, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.797, predictive_accuracy: 0.7936, prior_entropy: 1.3181, recall: 0.7936, relative_absolute_error: 0.3623, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.8516,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.8709, kappa: 0.8255, kb_relative_information_score: 0.7514, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8389, predictive_accuracy: 0.9056, prior_entropy: 1.3181, recall: 0.9056, relative_absolute_error: 0.1657, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.5759,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.8646, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5407,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.8646, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5407,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, kappa: 0.8309, kb_relative_information_score: 0.7562, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.9088, prior_entropy: 1.3181, recall: 0.9088, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.5661,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, kappa: 0.8309, kb_relative_information_score: 0.7562, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.9088, prior_entropy: 1.3181, recall: 0.9088, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.5661,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, kappa: 0.8309, kb_relative_information_score: 0.7562, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.9088, prior_entropy: 1.3181, recall: 0.9088, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.5661,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9502, kappa: 0.9109, kb_relative_information_score: 0.9049, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9527, predictive_accuracy: 0.9488, prior_entropy: 1.3181, recall: 0.9488, relative_absolute_error: 0.0899, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.4242,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, kappa: 0.7745, kb_relative_information_score: 0.7099, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8784, prior_entropy: 1.3181, recall: 0.8784, relative_absolute_error: 0.2135, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2847, root_relative_squared_error: 0.6537,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 1, predictive_accuracy: 1, prior_entropy: 1.3181, recall: 1, root_mean_prior_squared_error: 0.4356,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.9463, kappa: 0.9067, kb_relative_information_score: 0.8875, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9458, predictive_accuracy: 0.9472, prior_entropy: 1.3181, recall: 0.9472, relative_absolute_error: 0.0927, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.4307,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, kappa: 0.7834, kb_relative_information_score: 0.7172, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8832, prior_entropy: 1.3181, recall: 0.8832, relative_absolute_error: 0.205, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.279, root_relative_squared_error: 0.6406,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, kappa: 0.7893, kb_relative_information_score: 0.7221, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8864, prior_entropy: 1.3181, recall: 0.8864, relative_absolute_error: 0.1994, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.6318,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7181, kappa: 0.4362, kb_relative_information_score: 0.4319, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.696, prior_entropy: 1.3181, recall: 0.696, relative_absolute_error: 0.5337, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4502, root_relative_squared_error: 1.0335,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, kappa: 0.7478, kb_relative_information_score: 0.6879, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.864, prior_entropy: 1.3181, recall: 0.864, relative_absolute_error: 0.2387, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6913,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, kappa: 0.7626, kb_relative_information_score: 0.7001, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.872, prior_entropy: 1.3181, recall: 0.872, relative_absolute_error: 0.2247, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.6706,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9599, kappa: 0.9256, kb_relative_information_score: 0.9256, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9669, predictive_accuracy: 0.9568, prior_entropy: 1.3181, recall: 0.9568, relative_absolute_error: 0.0758, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.3896,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.8785, kappa: 0.8344, kb_relative_information_score: 0.7629, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8928, predictive_accuracy: 0.9104, prior_entropy: 1.3181, recall: 0.9104, relative_absolute_error: 0.1573, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.5611,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, kappa: 0.8309, kb_relative_information_score: 0.7562, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.9088, prior_entropy: 1.3181, recall: 0.9088, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.5661,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.9472, kappa: 0.9054, kb_relative_information_score: 0.9, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.95, predictive_accuracy: 0.9456, prior_entropy: 1.3181, recall: 0.9456, relative_absolute_error: 0.0955, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.4372,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.8646, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5407,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, kappa: 0.8309, kb_relative_information_score: 0.7562, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.9088, prior_entropy: 1.3181, recall: 0.9088, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.5661,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.724, kappa: 0.4481, kb_relative_information_score: 0.4416, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.7024, prior_entropy: 1.3181, recall: 0.7024, relative_absolute_error: 0.5224, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4454, root_relative_squared_error: 1.0226,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.8921, kappa: 0.8469, kb_relative_information_score: 0.7813, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9129, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5407,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7255, kappa: 0.451, kb_relative_information_score: 0.4441, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.704, prior_entropy: 1.3181, recall: 0.704, relative_absolute_error: 0.5196, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4442, root_relative_squared_error: 1.0198,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.724, kappa: 0.4481, kb_relative_information_score: 0.4416, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.7024, prior_entropy: 1.3181, recall: 0.7024, relative_absolute_error: 0.5224, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4454, root_relative_squared_error: 1.0226,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.7958, kappa: 0.6329, kb_relative_information_score: 0.5733, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.803, predictive_accuracy: 0.7888, prior_entropy: 1.3181, recall: 0.7888, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.8615,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, kappa: 0.7834, kb_relative_information_score: 0.7172, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8832, prior_entropy: 1.3181, recall: 0.8832, relative_absolute_error: 0.205, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.279, root_relative_squared_error: 0.6406,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9632, kappa: 0.9333, kb_relative_information_score: 0.9265, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.966, predictive_accuracy: 0.9616, prior_entropy: 1.3181, recall: 0.9616, relative_absolute_error: 0.0674, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.16, root_relative_squared_error: 0.3673,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7181, kappa: 0.4362, kb_relative_information_score: 0.4319, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.696, prior_entropy: 1.3181, recall: 0.696, relative_absolute_error: 0.5337, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4502, root_relative_squared_error: 1.0335,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.724, kappa: 0.4481, kb_relative_information_score: 0.4416, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.7024, prior_entropy: 1.3181, recall: 0.7024, relative_absolute_error: 0.5224, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4454, root_relative_squared_error: 1.0226,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9502, kappa: 0.9109, kb_relative_information_score: 0.9049, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9527, predictive_accuracy: 0.9488, prior_entropy: 1.3181, recall: 0.9488, relative_absolute_error: 0.0899, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.4242,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, kappa: 0.7537, kb_relative_information_score: 0.6928, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8672, prior_entropy: 1.3181, recall: 0.8672, relative_absolute_error: 0.2331, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.6831,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, kappa: 0.7537, kb_relative_information_score: 0.6928, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8672, prior_entropy: 1.3181, recall: 0.8672, relative_absolute_error: 0.2331, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.6831,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, kappa: 0.8131, kb_relative_information_score: 0.7416, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8992, prior_entropy: 1.3181, recall: 0.8992, relative_absolute_error: 0.177, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.5951,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.9404, kappa: 0.8921, kb_relative_information_score: 0.8878, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9456, predictive_accuracy: 0.9376, prior_entropy: 1.3181, recall: 0.9376, relative_absolute_error: 0.1095, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4683,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, kappa: 0.8309, kb_relative_information_score: 0.7562, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.9088, prior_entropy: 1.3181, recall: 0.9088, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.5661,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.7463, kappa: 0.5591, kb_relative_information_score: 0.5322, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7423, predictive_accuracy: 0.752, prior_entropy: 1.3181, recall: 0.752, relative_absolute_error: 0.4354, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.9335,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.956, kappa: 0.9196, kb_relative_information_score: 0.9122, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9604, predictive_accuracy: 0.9536, prior_entropy: 1.3181, recall: 0.9536, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.4038,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, kappa: 0.8012, kb_relative_information_score: 0.7318, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8928, prior_entropy: 1.3181, recall: 0.8928, relative_absolute_error: 0.1882, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.6137,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, kappa: 0.7567, kb_relative_information_score: 0.6953, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8688, prior_entropy: 1.3181, recall: 0.8688, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.679,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, kappa: 0.7418, kb_relative_information_score: 0.6831, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8608, prior_entropy: 1.3181, recall: 0.8608, relative_absolute_error: 0.2444, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.6994,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7918, kappa: 0.6269, kb_relative_information_score: 0.5684, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7983, predictive_accuracy: 0.7856, prior_entropy: 1.3181, recall: 0.7856, relative_absolute_error: 0.3764, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.868,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9512, kappa: 0.9113, kb_relative_information_score: 0.9049, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9555, predictive_accuracy: 0.9488, prior_entropy: 1.3181, recall: 0.9488, relative_absolute_error: 0.0899, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.4242,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, kappa: 0.8309, kb_relative_information_score: 0.7562, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.9088, prior_entropy: 1.3181, recall: 0.9088, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.5661,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.9463, kappa: 0.9067, kb_relative_information_score: 0.8875, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9458, predictive_accuracy: 0.9472, prior_entropy: 1.3181, recall: 0.9472, relative_absolute_error: 0.0927, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.4307,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.9571, kappa: 0.9244, kb_relative_information_score: 0.9256, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9576, predictive_accuracy: 0.9568, prior_entropy: 1.3181, recall: 0.9568, relative_absolute_error: 0.0758, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.3896,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, kappa: 0.7567, kb_relative_information_score: 0.6953, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8688, prior_entropy: 1.3181, recall: 0.8688, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.679,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, kappa: 0.7685, kb_relative_information_score: 0.705, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8752, prior_entropy: 1.3181, recall: 0.8752, relative_absolute_error: 0.2191, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.6622,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9746, kappa: 0.9551, kb_relative_information_score: 0.9524, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.975, predictive_accuracy: 0.9744, prior_entropy: 1.3181, recall: 0.9744, relative_absolute_error: 0.0449, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1306, root_relative_squared_error: 0.2999,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.8951, kappa: 0.8448, kb_relative_information_score: 0.7831, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9009, predictive_accuracy: 0.9152, prior_entropy: 1.3181, recall: 0.9152, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.5459,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7611, kappa: 0.5223, kb_relative_information_score: 0.5026, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.7424, prior_entropy: 1.3181, recall: 0.7424, relative_absolute_error: 0.4522, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.9514,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.9243, kappa: 0.8604, kb_relative_information_score: 0.8564, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9356, predictive_accuracy: 0.9184, prior_entropy: 1.3181, recall: 0.9184, relative_absolute_error: 0.1432, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.5355,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, kappa: 0.8101, kb_relative_information_score: 0.7392, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8976, prior_entropy: 1.3181, recall: 0.8976, relative_absolute_error: 0.1798, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.5998,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7801, f_measure: 0.7377, kappa: 0.5452, kb_relative_information_score: 0.5224, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7316, predictive_accuracy: 0.7456, prior_entropy: 1.3181, recall: 0.7456, relative_absolute_error: 0.4466, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.9455,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.9353, kappa: 0.8917, kb_relative_information_score: 0.856, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9338, predictive_accuracy: 0.9392, prior_entropy: 1.3181, recall: 0.9392, relative_absolute_error: 0.1067, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4622,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.7774, kappa: 0.6088, kb_relative_information_score: 0.5712, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7784, predictive_accuracy: 0.7776, prior_entropy: 1.3181, recall: 0.7776, relative_absolute_error: 0.3904, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.884,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9621, kappa: 0.9307, kb_relative_information_score: 0.9262, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9662, predictive_accuracy: 0.96, prior_entropy: 1.3181, recall: 0.96, relative_absolute_error: 0.0702, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3749,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.724, kappa: 0.4481, kb_relative_information_score: 0.4416, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.7024, prior_entropy: 1.3181, recall: 0.7024, relative_absolute_error: 0.5224, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4454, root_relative_squared_error: 1.0226,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.724, kappa: 0.4481, kb_relative_information_score: 0.4416, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.7024, prior_entropy: 1.3181, recall: 0.7024, relative_absolute_error: 0.5224, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4454, root_relative_squared_error: 1.0226,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9937, kappa: 0.9888, kb_relative_information_score: 0.9902, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9941, predictive_accuracy: 0.9936, prior_entropy: 1.3181, recall: 0.9936, relative_absolute_error: 0.0112, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.0653, root_relative_squared_error: 0.15,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9605, kappa: 0.9278, kb_relative_information_score: 0.9216, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9642, predictive_accuracy: 0.9584, prior_entropy: 1.3181, recall: 0.9584, relative_absolute_error: 0.073, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.3823,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9635, kappa: 0.9334, kb_relative_information_score: 0.9286, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9671, predictive_accuracy: 0.9616, prior_entropy: 1.3181, recall: 0.9616, relative_absolute_error: 0.0674, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.16, root_relative_squared_error: 0.3673,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, kappa: 0.7537, kb_relative_information_score: 0.6928, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8672, prior_entropy: 1.3181, recall: 0.8672, relative_absolute_error: 0.2331, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.6831,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.955, kappa: 0.9171, kb_relative_information_score: 0.9119, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9608, predictive_accuracy: 0.952, prior_entropy: 1.3181, recall: 0.952, relative_absolute_error: 0.0843, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.4107,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, kappa: 0.7537, kb_relative_information_score: 0.6928, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8672, prior_entropy: 1.3181, recall: 0.8672, relative_absolute_error: 0.2331, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.6831,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9649, kappa: 0.9383, kb_relative_information_score: 0.9378, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9652, predictive_accuracy: 0.9648, prior_entropy: 1.3181, recall: 0.9648, relative_absolute_error: 0.0618, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.3517,

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