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VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.0971, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8527, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9225, unweighted_recall: 0.5467,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, f_measure: 0.7851, kappa: 0.3693, kb_relative_information_score: 0.159, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.363, weighted_recall: 0.8075, number_of_instances: 748, precision: 0.7911, predictive_accuracy: 0.8075, prior_entropy: 0.7916, relative_absolute_error: 0.8116, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.9058, unweighted_recall: 0.6554,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.7365, kappa: 0.2345, kb_relative_information_score: 0.1135, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.363, weighted_recall: 0.7567, number_of_instances: 748, precision: 0.729, predictive_accuracy: 0.7567, prior_entropy: 0.7916, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.9879, unweighted_recall: 0.6027,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6429, f_measure: 0.7139, kappa: 0.1733, kb_relative_information_score: 0.0714, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.363, weighted_recall: 0.7326, number_of_instances: 748, precision: 0.7037, predictive_accuracy: 0.7326, prior_entropy: 0.7916, relative_absolute_error: 0.8443, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4586, root_relative_squared_error: 1.0768, unweighted_recall: 0.5773,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.714, f_measure: 0.7454, kappa: 0.252, kb_relative_information_score: 0.1267, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.363, weighted_recall: 0.7727, number_of_instances: 748, precision: 0.7432, predictive_accuracy: 0.7727, prior_entropy: 0.7916, relative_absolute_error: 0.8295, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.9435, unweighted_recall: 0.6055,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.7743, kappa: 0.3371, kb_relative_information_score: -0.6815, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.363, weighted_recall: 0.7981, number_of_instances: 748, precision: 0.7783, predictive_accuracy: 0.7981, prior_entropy: 0.7916, relative_absolute_error: 1.359, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.1594, unweighted_recall: 0.6415,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6789, f_measure: 0.7313, kappa: 0.222, kb_relative_information_score: 0.0765, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.363, weighted_recall: 0.75, number_of_instances: 748, precision: 0.723, predictive_accuracy: 0.75, prior_entropy: 0.7916, relative_absolute_error: 0.8436, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4302, root_relative_squared_error: 1.0102, unweighted_recall: 0.5984,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.7283, kappa: 0.1912, kb_relative_information_score: 0.3103, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.363, weighted_recall: 0.7781, number_of_instances: 748, precision: 0.7486, predictive_accuracy: 0.7781, prior_entropy: 0.7916, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4711, root_relative_squared_error: 1.1063, unweighted_recall: 0.5723,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.7128, kappa: 0.1502, kb_relative_information_score: 0.1399, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.363, weighted_recall: 0.7513, number_of_instances: 748, precision: 0.7062, predictive_accuracy: 0.7513, prior_entropy: 0.7916, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4302, root_relative_squared_error: 1.0102, unweighted_recall: 0.5606,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5944, f_measure: 0.7061, kappa: 0.1682, kb_relative_information_score: 0.0574, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.363, weighted_recall: 0.7152, number_of_instances: 748, precision: 0.6991, predictive_accuracy: 0.7152, prior_entropy: 0.7916, relative_absolute_error: 0.8479, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5201, root_relative_squared_error: 1.2215, unweighted_recall: 0.5794,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7528, kappa: 0.2823, kb_relative_information_score: 0.0823, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.7474, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9826, unweighted_recall: 0.624,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.556, f_measure: 0.7088, kappa: 0.1386, kb_relative_information_score: 0.2147, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.363, weighted_recall: 0.7473, number_of_instances: 748, precision: 0.7004, predictive_accuracy: 0.7473, prior_entropy: 0.7916, relative_absolute_error: 0.696, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.1804, unweighted_recall: 0.556,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.0971, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8527, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9225, unweighted_recall: 0.5467,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, f_measure: 0.7851, kappa: 0.3693, kb_relative_information_score: 0.159, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.363, weighted_recall: 0.8075, number_of_instances: 748, precision: 0.7911, predictive_accuracy: 0.8075, prior_entropy: 0.7916, relative_absolute_error: 0.8116, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.9058, unweighted_recall: 0.6554,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.7365, kappa: 0.2345, kb_relative_information_score: 0.1135, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.363, weighted_recall: 0.7567, number_of_instances: 748, precision: 0.729, predictive_accuracy: 0.7567, prior_entropy: 0.7916, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.9879, unweighted_recall: 0.6027,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6429, f_measure: 0.7139, kappa: 0.1733, kb_relative_information_score: 0.0714, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.363, weighted_recall: 0.7326, number_of_instances: 748, precision: 0.7037, predictive_accuracy: 0.7326, prior_entropy: 0.7916, relative_absolute_error: 0.8443, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4586, root_relative_squared_error: 1.0768, unweighted_recall: 0.5773,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.714, f_measure: 0.7454, kappa: 0.252, kb_relative_information_score: 0.1267, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.363, weighted_recall: 0.7727, number_of_instances: 748, precision: 0.7432, predictive_accuracy: 0.7727, prior_entropy: 0.7916, relative_absolute_error: 0.8295, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.9435, unweighted_recall: 0.6055,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.7743, kappa: 0.3371, kb_relative_information_score: -0.6815, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.363, weighted_recall: 0.7981, number_of_instances: 748, precision: 0.7783, predictive_accuracy: 0.7981, prior_entropy: 0.7916, relative_absolute_error: 1.359, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.1594, unweighted_recall: 0.6415,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6789, f_measure: 0.7313, kappa: 0.222, kb_relative_information_score: 0.0765, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.363, weighted_recall: 0.75, number_of_instances: 748, precision: 0.723, predictive_accuracy: 0.75, prior_entropy: 0.7916, relative_absolute_error: 0.8436, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4302, root_relative_squared_error: 1.0102, unweighted_recall: 0.5984,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.7283, kappa: 0.1912, kb_relative_information_score: 0.3103, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.363, weighted_recall: 0.7781, number_of_instances: 748, precision: 0.7486, predictive_accuracy: 0.7781, prior_entropy: 0.7916, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4711, root_relative_squared_error: 1.1063, unweighted_recall: 0.5723,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.7128, kappa: 0.1502, kb_relative_information_score: 0.1399, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.363, weighted_recall: 0.7513, number_of_instances: 748, precision: 0.7062, predictive_accuracy: 0.7513, prior_entropy: 0.7916, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4302, root_relative_squared_error: 1.0102, unweighted_recall: 0.5606,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5944, f_measure: 0.7061, kappa: 0.1682, kb_relative_information_score: 0.0574, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.363, weighted_recall: 0.7152, number_of_instances: 748, precision: 0.6991, predictive_accuracy: 0.7152, prior_entropy: 0.7916, relative_absolute_error: 0.8479, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5201, root_relative_squared_error: 1.2215, unweighted_recall: 0.5794,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7528, kappa: 0.2823, kb_relative_information_score: 0.0823, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.7474, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9826, unweighted_recall: 0.624,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.556, f_measure: 0.7088, kappa: 0.1386, kb_relative_information_score: 0.2147, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.363, weighted_recall: 0.7473, number_of_instances: 748, precision: 0.7004, predictive_accuracy: 0.7473, prior_entropy: 0.7916, relative_absolute_error: 0.696, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.1804, unweighted_recall: 0.556,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.0971, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8527, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9225, unweighted_recall: 0.5467,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8887, kappa: 0.775, kb_relative_information_score: 0.6893, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8887, number_of_instances: 14980, precision: 0.8887, predictive_accuracy: 0.8887, prior_entropy: 0.9924, relative_absolute_error: 0.3299, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5681, unweighted_recall: 0.8876,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9066, kappa: 0.8109, kb_relative_information_score: 0.649, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9068, number_of_instances: 14980, precision: 0.907, predictive_accuracy: 0.9068, prior_entropy: 0.9924, relative_absolute_error: 0.3869, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.5483, unweighted_recall: 0.904,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9486, kappa: 0.8959, kb_relative_information_score: 0.6381, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9487, number_of_instances: 14980, precision: 0.9493, predictive_accuracy: 0.9487, prior_entropy: 0.9924, relative_absolute_error: 0.4145, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.51, unweighted_recall: 0.946,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8113, kappa: 0.6175, kb_relative_information_score: 0.3919, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8128, number_of_instances: 14980, precision: 0.8143, predictive_accuracy: 0.8128, prior_entropy: 0.9924, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7477, unweighted_recall: 0.8054,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.741, kappa: 0.4753, kb_relative_information_score: 0.0025, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4948, weighted_recall: 0.7422, number_of_instances: 14980, precision: 0.7415, predictive_accuracy: 0.7422, prior_entropy: 0.9924, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9929, unweighted_recall: 0.736,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9344, kappa: 0.8672, kb_relative_information_score: 0.6386, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9346, number_of_instances: 14980, precision: 0.935, predictive_accuracy: 0.9346, prior_entropy: 0.9924, relative_absolute_error: 0.4084, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.5237, unweighted_recall: 0.9319,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, f_measure: 0.6243, kappa: 0.2695, kb_relative_information_score: 0.3028, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6567, number_of_instances: 14980, precision: 0.6866, predictive_accuracy: 0.6567, prior_entropy: 0.9924, relative_absolute_error: 0.6939, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5859, root_relative_squared_error: 1.1781, unweighted_recall: 0.628,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3296, kappa: -0.0001, kb_relative_information_score: -0.1036, mean_absolute_error: 0.5432, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4545, number_of_instances: 14980, precision: 0.5049, predictive_accuracy: 0.4545, prior_entropy: 0.9924, relative_absolute_error: 1.098, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7225, root_relative_squared_error: 1.4526, unweighted_recall: 0.4999,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.8408, kappa: 0.6781, kb_relative_information_score: 0.6768, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8409, number_of_instances: 14980, precision: 0.8408, predictive_accuracy: 0.8409, prior_entropy: 0.9924, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8021, unweighted_recall: 0.8388,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8536, kappa: 0.7038, kb_relative_information_score: 0.61, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8537, number_of_instances: 14980, precision: 0.8536, predictive_accuracy: 0.8537, prior_entropy: 0.9924, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6527, unweighted_recall: 0.8512,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.571, f_measure: 0.563, kappa: 0.1494, kb_relative_information_score: 0.1878, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6, number_of_instances: 14980, precision: 0.605, predictive_accuracy: 0.6, prior_entropy: 0.9924, relative_absolute_error: 0.8085, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2716, unweighted_recall: 0.571,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6194, f_measure: 0.5773, kappa: 0.1526, kb_relative_information_score: 0.066, mean_absolute_error: 0.4667, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5938, number_of_instances: 14980, precision: 0.589, predictive_accuracy: 0.5938, prior_entropy: 0.9924, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4828, root_relative_squared_error: 0.9706, unweighted_recall: 0.5739,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8887, kappa: 0.775, kb_relative_information_score: 0.6893, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8887, number_of_instances: 14980, precision: 0.8887, predictive_accuracy: 0.8887, prior_entropy: 0.9924, relative_absolute_error: 0.3299, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5681, unweighted_recall: 0.8876,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9066, kappa: 0.8109, kb_relative_information_score: 0.649, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9068, number_of_instances: 14980, precision: 0.907, predictive_accuracy: 0.9068, prior_entropy: 0.9924, relative_absolute_error: 0.3869, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.5483, unweighted_recall: 0.904,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9486, kappa: 0.8959, kb_relative_information_score: 0.6381, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9487, number_of_instances: 14980, precision: 0.9493, predictive_accuracy: 0.9487, prior_entropy: 0.9924, relative_absolute_error: 0.4145, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.51, unweighted_recall: 0.946,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8113, kappa: 0.6175, kb_relative_information_score: 0.3919, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8128, number_of_instances: 14980, precision: 0.8143, predictive_accuracy: 0.8128, prior_entropy: 0.9924, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7477, unweighted_recall: 0.8054,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.741, kappa: 0.4753, kb_relative_information_score: 0.0025, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4948, weighted_recall: 0.7422, number_of_instances: 14980, precision: 0.7415, predictive_accuracy: 0.7422, prior_entropy: 0.9924, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9929, unweighted_recall: 0.736,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9344, kappa: 0.8672, kb_relative_information_score: 0.6386, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9346, number_of_instances: 14980, precision: 0.935, predictive_accuracy: 0.9346, prior_entropy: 0.9924, relative_absolute_error: 0.4084, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.5237, unweighted_recall: 0.9319,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, f_measure: 0.6243, kappa: 0.2695, kb_relative_information_score: 0.3028, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6567, number_of_instances: 14980, precision: 0.6866, predictive_accuracy: 0.6567, prior_entropy: 0.9924, relative_absolute_error: 0.6939, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5859, root_relative_squared_error: 1.1781, unweighted_recall: 0.628,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3296, kappa: -0.0001, kb_relative_information_score: -0.1036, mean_absolute_error: 0.5432, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4545, number_of_instances: 14980, precision: 0.5049, predictive_accuracy: 0.4545, prior_entropy: 0.9924, relative_absolute_error: 1.098, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7225, root_relative_squared_error: 1.4526, unweighted_recall: 0.4999,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.8408, kappa: 0.6781, kb_relative_information_score: 0.6768, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8409, number_of_instances: 14980, precision: 0.8408, predictive_accuracy: 0.8409, prior_entropy: 0.9924, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8021, unweighted_recall: 0.8388,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8536, kappa: 0.7038, kb_relative_information_score: 0.61, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8537, number_of_instances: 14980, precision: 0.8536, predictive_accuracy: 0.8537, prior_entropy: 0.9924, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6527, unweighted_recall: 0.8512,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.571, f_measure: 0.563, kappa: 0.1494, kb_relative_information_score: 0.1878, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6, number_of_instances: 14980, precision: 0.605, predictive_accuracy: 0.6, prior_entropy: 0.9924, relative_absolute_error: 0.8085, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2716, unweighted_recall: 0.571,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6194, f_measure: 0.5773, kappa: 0.1526, kb_relative_information_score: 0.066, mean_absolute_error: 0.4667, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5938, number_of_instances: 14980, precision: 0.589, predictive_accuracy: 0.5938, prior_entropy: 0.9924, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4828, root_relative_squared_error: 0.9706, unweighted_recall: 0.5739,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8887, kappa: 0.775, kb_relative_information_score: 0.6893, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8887, number_of_instances: 14980, precision: 0.8887, predictive_accuracy: 0.8887, prior_entropy: 0.9924, relative_absolute_error: 0.3299, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5681, unweighted_recall: 0.8876,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9066, kappa: 0.8109, kb_relative_information_score: 0.649, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9068, number_of_instances: 14980, precision: 0.907, predictive_accuracy: 0.9068, prior_entropy: 0.9924, relative_absolute_error: 0.3869, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.5483, unweighted_recall: 0.904,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9486, kappa: 0.8959, kb_relative_information_score: 0.6381, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9487, number_of_instances: 14980, precision: 0.9493, predictive_accuracy: 0.9487, prior_entropy: 0.9924, relative_absolute_error: 0.4145, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.51, unweighted_recall: 0.946,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8113, kappa: 0.6175, kb_relative_information_score: 0.3919, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8128, number_of_instances: 14980, precision: 0.8143, predictive_accuracy: 0.8128, prior_entropy: 0.9924, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7477, unweighted_recall: 0.8054,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.741, kappa: 0.4753, kb_relative_information_score: 0.0025, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4948, weighted_recall: 0.7422, number_of_instances: 14980, precision: 0.7415, predictive_accuracy: 0.7422, prior_entropy: 0.9924, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9929, unweighted_recall: 0.736,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9344, kappa: 0.8672, kb_relative_information_score: 0.6386, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9346, number_of_instances: 14980, precision: 0.935, predictive_accuracy: 0.9346, prior_entropy: 0.9924, relative_absolute_error: 0.4084, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.5237, unweighted_recall: 0.9319,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, f_measure: 0.6243, kappa: 0.2695, kb_relative_information_score: 0.3028, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6567, number_of_instances: 14980, precision: 0.6866, predictive_accuracy: 0.6567, prior_entropy: 0.9924, relative_absolute_error: 0.6939, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5859, root_relative_squared_error: 1.1781, unweighted_recall: 0.628,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3296, kappa: -0.0001, kb_relative_information_score: -0.1036, mean_absolute_error: 0.5432, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4545, number_of_instances: 14980, precision: 0.5049, predictive_accuracy: 0.4545, prior_entropy: 0.9924, relative_absolute_error: 1.098, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7225, root_relative_squared_error: 1.4526, unweighted_recall: 0.4999,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.8408, kappa: 0.6781, kb_relative_information_score: 0.6768, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8409, number_of_instances: 14980, precision: 0.8408, predictive_accuracy: 0.8409, prior_entropy: 0.9924, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8021, unweighted_recall: 0.8388,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8536, kappa: 0.7038, kb_relative_information_score: 0.61, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8537, number_of_instances: 14980, precision: 0.8536, predictive_accuracy: 0.8537, prior_entropy: 0.9924, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6527, unweighted_recall: 0.8512,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.571, f_measure: 0.563, kappa: 0.1494, kb_relative_information_score: 0.1878, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6, number_of_instances: 14980, precision: 0.605, predictive_accuracy: 0.6, prior_entropy: 0.9924, relative_absolute_error: 0.8085, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2716, unweighted_recall: 0.571,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6194, f_measure: 0.5773, kappa: 0.1526, kb_relative_information_score: 0.066, mean_absolute_error: 0.4667, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5938, number_of_instances: 14980, precision: 0.589, predictive_accuracy: 0.5938, prior_entropy: 0.9924, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4828, root_relative_squared_error: 0.9706, unweighted_recall: 0.5739,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8887, kappa: 0.775, kb_relative_information_score: 0.6893, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8887, number_of_instances: 14980, precision: 0.8887, predictive_accuracy: 0.8887, prior_entropy: 0.9924, relative_absolute_error: 0.3299, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5681, unweighted_recall: 0.8876,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9066, kappa: 0.8109, kb_relative_information_score: 0.649, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9068, number_of_instances: 14980, precision: 0.907, predictive_accuracy: 0.9068, prior_entropy: 0.9924, relative_absolute_error: 0.3869, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.5483, unweighted_recall: 0.904,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9486, kappa: 0.8959, kb_relative_information_score: 0.6381, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9487, number_of_instances: 14980, precision: 0.9493, predictive_accuracy: 0.9487, prior_entropy: 0.9924, relative_absolute_error: 0.4145, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.51, unweighted_recall: 0.946,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8113, kappa: 0.6175, kb_relative_information_score: 0.3919, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8128, number_of_instances: 14980, precision: 0.8143, predictive_accuracy: 0.8128, prior_entropy: 0.9924, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7477, unweighted_recall: 0.8054,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.741, kappa: 0.4753, kb_relative_information_score: 0.0025, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4948, weighted_recall: 0.7422, number_of_instances: 14980, precision: 0.7415, predictive_accuracy: 0.7422, prior_entropy: 0.9924, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9929, unweighted_recall: 0.736,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9344, kappa: 0.8672, kb_relative_information_score: 0.6386, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9346, number_of_instances: 14980, precision: 0.935, predictive_accuracy: 0.9346, prior_entropy: 0.9924, relative_absolute_error: 0.4084, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.5237, unweighted_recall: 0.9319,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, f_measure: 0.6243, kappa: 0.2695, kb_relative_information_score: 0.3028, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6567, number_of_instances: 14980, precision: 0.6866, predictive_accuracy: 0.6567, prior_entropy: 0.9924, relative_absolute_error: 0.6939, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5859, root_relative_squared_error: 1.1781, unweighted_recall: 0.628,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3296, kappa: -0.0001, kb_relative_information_score: -0.1036, mean_absolute_error: 0.5432, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4545, number_of_instances: 14980, precision: 0.5049, predictive_accuracy: 0.4545, prior_entropy: 0.9924, relative_absolute_error: 1.098, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7225, root_relative_squared_error: 1.4526, unweighted_recall: 0.4999,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.8408, kappa: 0.6781, kb_relative_information_score: 0.6768, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8409, number_of_instances: 14980, precision: 0.8408, predictive_accuracy: 0.8409, prior_entropy: 0.9924, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8021, unweighted_recall: 0.8388,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8536, kappa: 0.7038, kb_relative_information_score: 0.61, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8537, number_of_instances: 14980, precision: 0.8536, predictive_accuracy: 0.8537, prior_entropy: 0.9924, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6527, unweighted_recall: 0.8512,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.571, f_measure: 0.563, kappa: 0.1494, kb_relative_information_score: 0.1878, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6, number_of_instances: 14980, precision: 0.605, predictive_accuracy: 0.6, prior_entropy: 0.9924, relative_absolute_error: 0.8085, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2716, unweighted_recall: 0.571,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6194, f_measure: 0.5773, kappa: 0.1526, kb_relative_information_score: 0.066, mean_absolute_error: 0.4667, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5938, number_of_instances: 14980, precision: 0.589, predictive_accuracy: 0.5938, prior_entropy: 0.9924, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4828, root_relative_squared_error: 0.9706, unweighted_recall: 0.5739,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8887, kappa: 0.775, kb_relative_information_score: 0.6893, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8887, number_of_instances: 14980, precision: 0.8887, predictive_accuracy: 0.8887, prior_entropy: 0.9924, relative_absolute_error: 0.3299, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5681, unweighted_recall: 0.8876,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9066, kappa: 0.8109, kb_relative_information_score: 0.649, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9068, number_of_instances: 14980, precision: 0.907, predictive_accuracy: 0.9068, prior_entropy: 0.9924, relative_absolute_error: 0.3869, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.5483, unweighted_recall: 0.904,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9486, kappa: 0.8959, kb_relative_information_score: 0.6381, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9487, number_of_instances: 14980, precision: 0.9493, predictive_accuracy: 0.9487, prior_entropy: 0.9924, relative_absolute_error: 0.4145, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.51, unweighted_recall: 0.946,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8113, kappa: 0.6175, kb_relative_information_score: 0.3919, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8128, number_of_instances: 14980, precision: 0.8143, predictive_accuracy: 0.8128, prior_entropy: 0.9924, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7477, unweighted_recall: 0.8054,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.741, kappa: 0.4753, kb_relative_information_score: 0.0025, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4948, weighted_recall: 0.7422, number_of_instances: 14980, precision: 0.7415, predictive_accuracy: 0.7422, prior_entropy: 0.9924, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9929, unweighted_recall: 0.736,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9344, kappa: 0.8672, kb_relative_information_score: 0.6386, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9346, number_of_instances: 14980, precision: 0.935, predictive_accuracy: 0.9346, prior_entropy: 0.9924, relative_absolute_error: 0.4084, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.5237, unweighted_recall: 0.9319,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, f_measure: 0.6243, kappa: 0.2695, kb_relative_information_score: 0.3028, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6567, number_of_instances: 14980, precision: 0.6866, predictive_accuracy: 0.6567, prior_entropy: 0.9924, relative_absolute_error: 0.6939, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5859, root_relative_squared_error: 1.1781, unweighted_recall: 0.628,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3296, kappa: -0.0001, kb_relative_information_score: -0.1036, mean_absolute_error: 0.5432, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4545, number_of_instances: 14980, precision: 0.5049, predictive_accuracy: 0.4545, prior_entropy: 0.9924, relative_absolute_error: 1.098, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7225, root_relative_squared_error: 1.4526, unweighted_recall: 0.4999,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.8408, kappa: 0.6781, kb_relative_information_score: 0.6768, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8409, number_of_instances: 14980, precision: 0.8408, predictive_accuracy: 0.8409, prior_entropy: 0.9924, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8021, unweighted_recall: 0.8388,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8536, kappa: 0.7038, kb_relative_information_score: 0.61, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8537, number_of_instances: 14980, precision: 0.8536, predictive_accuracy: 0.8537, prior_entropy: 0.9924, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6527, unweighted_recall: 0.8512,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.571, f_measure: 0.563, kappa: 0.1494, kb_relative_information_score: 0.1878, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6, number_of_instances: 14980, precision: 0.605, predictive_accuracy: 0.6, prior_entropy: 0.9924, relative_absolute_error: 0.8085, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2716, unweighted_recall: 0.571,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6194, f_measure: 0.5773, kappa: 0.1526, kb_relative_information_score: 0.066, mean_absolute_error: 0.4667, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5938, number_of_instances: 14980, precision: 0.589, predictive_accuracy: 0.5938, prior_entropy: 0.9924, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4828, root_relative_squared_error: 0.9706, unweighted_recall: 0.5739,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.8752, kappa: 0.7226, kb_relative_information_score: 0.6329, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.456, weighted_recall: 0.8775, number_of_instances: 19020, precision: 0.8775, predictive_accuracy: 0.8775, prior_entropy: 0.9355, relative_absolute_error: 0.3809, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.6299, unweighted_recall: 0.8499,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.88, kappa: 0.7336, kb_relative_information_score: 0.6289, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.456, weighted_recall: 0.8821, number_of_instances: 19020, precision: 0.8821, predictive_accuracy: 0.8821, prior_entropy: 0.9355, relative_absolute_error: 0.3905, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.6192, unweighted_recall: 0.856,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.8764, kappa: 0.7248, kb_relative_information_score: 0.5777, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.456, weighted_recall: 0.8791, number_of_instances: 19020, precision: 0.8801, predictive_accuracy: 0.8791, prior_entropy: 0.9355, relative_absolute_error: 0.4488, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.6336, unweighted_recall: 0.8491,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8688, kappa: 0.7075, kb_relative_information_score: 0.5667, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.456, weighted_recall: 0.872, number_of_instances: 19020, precision: 0.8733, predictive_accuracy: 0.872, prior_entropy: 0.9355, relative_absolute_error: 0.4611, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6498, unweighted_recall: 0.8395,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.8384, kappa: 0.6413, kb_relative_information_score: -0.1324, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.456, weighted_recall: 0.841, number_of_instances: 19020, precision: 0.8391, predictive_accuracy: 0.841, prior_entropy: 0.9355, relative_absolute_error: 1.0762, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4908, root_relative_squared_error: 1.0279, unweighted_recall: 0.8118,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8788, kappa: 0.7311, kb_relative_information_score: 0.5976, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.456, weighted_recall: 0.8808, number_of_instances: 19020, precision: 0.8804, predictive_accuracy: 0.8808, prior_entropy: 0.9355, relative_absolute_error: 0.4256, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.299, root_relative_squared_error: 0.6261, unweighted_recall: 0.8555,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.8649, kappa: 0.6983, kb_relative_information_score: 0.7014, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.456, weighted_recall: 0.869, number_of_instances: 19020, precision: 0.8719, predictive_accuracy: 0.869, prior_entropy: 0.9355, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.7579, unweighted_recall: 0.8324,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.7004, kappa: 0.3288, kb_relative_information_score: 0.3672, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.456, weighted_recall: 0.7268, number_of_instances: 19020, precision: 0.7233, predictive_accuracy: 0.7268, prior_entropy: 0.9355, relative_absolute_error: 0.6118, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4859, root_relative_squared_error: 1.0177, unweighted_recall: 0.6468,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.8155, kappa: 0.5958, kb_relative_information_score: 0.5788, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.456, weighted_recall: 0.8152, number_of_instances: 19020, precision: 0.8157, predictive_accuracy: 0.8152, prior_entropy: 0.9355, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.9002, unweighted_recall: 0.7986,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8337, kappa: 0.6281, kb_relative_information_score: 0.5568, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.456, weighted_recall: 0.8395, number_of_instances: 19020, precision: 0.8413, predictive_accuracy: 0.8395, prior_entropy: 0.9355, relative_absolute_error: 0.4448, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.732, unweighted_recall: 0.7972,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7436, f_measure: 0.7797, kappa: 0.5088, kb_relative_information_score: 0.511, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.456, weighted_recall: 0.7855, number_of_instances: 19020, precision: 0.7813, predictive_accuracy: 0.7855, prior_entropy: 0.9355, relative_absolute_error: 0.4703, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9699, unweighted_recall: 0.7436,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.7836, kappa: 0.5166, kb_relative_information_score: 0.3745, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.456, weighted_recall: 0.7906, number_of_instances: 19020, precision: 0.7873, predictive_accuracy: 0.7906, prior_entropy: 0.9355, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.804, unweighted_recall: 0.7453,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.8752, kappa: 0.7226, kb_relative_information_score: 0.6329, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.456, weighted_recall: 0.8775, number_of_instances: 19020, precision: 0.8775, predictive_accuracy: 0.8775, prior_entropy: 0.9355, relative_absolute_error: 0.3809, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.6299, unweighted_recall: 0.8499,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.88, kappa: 0.7336, kb_relative_information_score: 0.6289, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.456, weighted_recall: 0.8821, number_of_instances: 19020, precision: 0.8821, predictive_accuracy: 0.8821, prior_entropy: 0.9355, relative_absolute_error: 0.3905, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.6192, unweighted_recall: 0.856,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.8764, kappa: 0.7248, kb_relative_information_score: 0.5777, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.456, weighted_recall: 0.8791, number_of_instances: 19020, precision: 0.8801, predictive_accuracy: 0.8791, prior_entropy: 0.9355, relative_absolute_error: 0.4488, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.6336, unweighted_recall: 0.8491,